WP4 Mackenzie 2019 POC PON
type: Distribution
format: TXT
issued: 2023-06-02T09:58:29.904526
modified: 2023-06-02T10:10:44.875160
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937575

Product Guide
type: Distribution
format: PDF
issued: 2019-02-21T14:22:55.236003
modified: 2021-11-01T11:08:49.355887
access URL: http://hs.pangaea.de/sat/GlobPermafrost_Sentinel/Landcover/ESA_GlobPermafrost_PD_LCP_LANDC_20190128_v1.0.pdf
media type: application/pdf

Lidar-derived original point clouds, 2012 chunk01
type: Distribution
format: LASZ
issued: 2020-05-26T13:05:33.073316
modified: 2021-11-01T11:08:41.118572
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2012_chunk01.zip
media type: application/zip

DARTS_NitzeEtAl_v1_coverage_2021_2023_intersect.parquet
type: Distribution
description: Maximum coverage of the dataset with at least annual coverage between 2021-2023
format: PARQUET
issued: 2024-10-24T11:01:10.574860
modified: 2024-10-24T11:03:06.361444
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5f776b8a-d990-432b-b327-9fe435c2217f

Inorganic and organic hydrochemistry of lakes and ponds in continuous permafrost landscapes in the western Canadian Arctic, 2006-2015 (CA)
type: Dataset
description: Between 2006 and 2015 inorganic and organic hydrochemical parameters and stable water isotope characteristics were measured in lakes and ponds in continuous permafrost landscapes in the western Canadian Arctic. The dataset contains 66 individual samples from 47 distinct water bodies. Lakes and ponds were sampled in an area covering the following geographical boundaries: North: from 68.8° to 69.7° West: from -141.0° to -138.5° Water bodies are all located in the zone of continuous permafrost. The studied water bodies are located on the mainland coast of the Yukon, Canada and on Herschel Island – Qikiqtaruk off the Yukon coast. Hydrochemical data comprises: * basic parameters such as pH and electrical conductivity * major anions * major cations * dissolved organic carbon concentration * stable water isotopes
issued: 2023-08-11T09:29:20.921813
modified: 2023-08-11T09:50:06.309453
spatial: Location
version info: 1.0
contact point: Organization
  fn: Fritz, Michael
keyword: Anions
keyword: Hydrochemistry
keyword: Yukon Coast
keyword: Dissolved Organic Carbon
keyword: Stable Water Isotopes
keyword: Limnology
keyword: Cations
keyword: Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.935012

North_America.zip
type: Distribution
description: Zipped shapefile of peatland distribution - North America
format: ZIP
issued: 2023-03-07T15:49:57.145066
modified: 2023-03-07T15:50:47.914410
access URL: https://archive.researchdata.leeds.ac.uk/251/11/North_America.zip
media type: application/zip

Global methane column-averaged dry air mole fraction (XCH4) from TROPOMI WFM-DOAS, since 2017
type: Dataset
description: Carbon monoxide (CO) is an important atmospheric constituent affecting air quality, and methane (CH4) is the second most important greenhouse gas contributing to human-induced climate change. Detailed and continuous observations of these gases are necessary to better assess their impact on climate and atmospheric pollution. While surface and airborne measurements are able to accurately determine atmospheric abundances on local scales, global coverage can only be achieved using satellite instruments. The TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor satellite, which was successfully launched in October 2017, is a spaceborne nadir-viewing imaging spectrometer measuring solar radiation reflected by the Earth in a push-broom configuration. It has a wide swath on the terrestrial surface and covers wavelength bands between the ultraviolet (UV) and the shortwave infrared (SWIR), combining a high spatial resolution with daily global coverage. These characteristics enable the determination of both gases with an unprecedented level of detail on a global scale, introducing new areas of application. Abundances of the atmospheric column-averaged dry air mole fractions XCO and XCH4 are simultaneously retrieved from TROPOMIs radiance measurements in the 2.3µm spectral range of the SWIR part of the solar spectrum using the scientific retrieval algorithm Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS). This algorithm is intended to be used with the operational algorithms for mutual verification and to provide new geophysical insights. We introduce the algorithm in detail, including expected error characteristics based on synthetic data, a machine-learning-based quality filter, and a shallow learning calibration procedure applied in the post-processing of the XCH4 data. The quality of the results based on real TROPOMI data is assessed by validation with ground-based Fourier transform spectrometer (FTS) measurements p…
issued: 2022-11-18T13:12:04.011918
modified: 2024-04-09T12:51:57.810451
spatial: Location
version info: v1.8
contact point: Organization
  fn: Schneising, Oliver
keyword: TROPOMI
keyword: Methane
keyword: Atmosphere
keyword: Carbon Monoxide
keyword: Sentinel-5 Precursor
keyword: Satellite
keyword: CH4
keyword: CO
landing page: https://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd/

WP4 Mackenzie 2019 phytoplankton pigment concentrations HPLC surface water CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 particle absorption surface water __Citation:__ Matsuoka, Atsushi; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Lizotte, Martine; Ferland, Joannie; Doxaran, David; Maury, Juliette; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Bossé-Demers, Thomas; Mannino, Antonio; Babin, Marcel (2021): Phytoplankton pigment concentrations measured by HPLC in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937585, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-08T15:04:01.891501
modified: 2023-06-08T15:04:01.867440
access URL: https://apgc.awi.de/dataset/ef911cdb-2604-4f30-9de1-10607685be72/resource/a61275bd-87b0-4d7e-8183-5de05f974a93/download/nunawp4mackenzie19_phytopl_pigments.csv
byte size: 38881
media type: text/csv

https://apgc.awi.de/dataset/5d53fc07-bcfd-42b2-b611-274fbccf7273/resource/963e9729-b47e-45b8-88d6-e1b6aabf35aa
type: Distribution
description: Zipped folder containing incubation data
format: ZIP
issued: 2023-03-29T14:46:59.844862
modified: 2023-03-29T14:47:00.096658
access URL: https://data-package.ceh.ac.uk/data/0c79defa-d762-4ad1-a714-02e177d8e690.zip
media type: application/zip

Walz-etal_2018.zip
type: Distribution
description: ZIP file containing all datasets as tab-delimited text
format: ZIP
issued: 2023-03-29T07:59:31.651066
modified: 2023-03-29T08:01:44.615130
access URL: https://doi.pangaea.de/10.1594/PANGAEA.892950

zenodo
type: Agent

DARTS_NitzeEtAl_v1_coverage_2018_2023_level1.gpkg
type: Distribution
description: Coverage of individual image scenes, used for the processing of DARTS Level 1 datasets
format: GPKG
issued: 2024-10-24T11:01:10.574856
modified: 2024-10-24T11:03:06.361361
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A6c611bd6-202a-45e2-afbc-8ed2dbd0ff9f

CARVE Atmospheric gas concentrations user guide
type: Distribution
format: HTML
issued: 2023-03-01T12:56:41.333103
modified: 2023-03-01T12:56:52.552095
access URL: https://daac.ornl.gov/CARVE/guides/CARVE_L2_AtmosGas_Ground.html
media type: text/html

Sodankylä 2018-03-05 to 2021-10-18
type: Distribution
format: NetCDF
issued: 2022-09-26T12:22:34.276639
modified: 2022-09-26T12:22:34.240154
access URL: https://renc.osn.xsede.org/ini210004tommorrell/10.14291/tccon.ggg2020.sodankyla01.R0/so20090516_20220614.public.qc.nc

Methane fluxes from burnt and unburnt forests from permafrost in subarctic Canada, 2013 & 2014
type: Dataset
description: This dataset contains methane fluxes from peatland plateaus and thawing peatland plateaus and from burnt and unburnt forests from permafrost in subarctic Canada. Methane fluxes were monitored during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus and thawing features of peatland plateaus. Methane flux measurements were performed by placing on the ground PVC-made collars and chambers and monitoring headspace concentrations over time. A portable methane gas analyser Detecto Pak-Infrared (DP-IR, Heath Consultants) was used to monitor methane concentrations. A certified gas standard was used to check the performance of the analyser. The slopes of the linear regression of methane concentrations and time were used to calculate the flux rates. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Cooper, M.A.; Estop-Aragones, C.; Fisher, J.P.; Thierry, A.; Treharne, R.; Murton, J.B.; Phoenix, G.K.; Charman, D.J.; Williams, M.; Hartley, I.P. (2016). Methane fluxes from peatland plateaus and thawing peatland plateaus and from burnt and unburnt forests from permafrost in subarctic Canada. NERC Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/1d4d70ad-dc38-4e5f-bc39-066babca2fb2 __You must always use the following attribution statement to acknowledge the source of the information:__ "Contains data supplied by UK Centre for Ecology & Hydrology."
identifier: DOI: 10.5285/1d4d70ad-dc38-4e5f-bc39-066babca2fb2
issued: 2023-03-30T07:56:15.264190
modified: 2024-04-09T12:37:46.417210
spatial: Location
version info: 1.0
contact point: Organization
  fn: NERC EDS Environmental Information Data Centre
keyword: Methane
keyword: Carbon Flux
keyword: Permafrost
keyword: Permafrost Methane Release
landing page: https://catalogue.ceh.ac.uk/documents/1d4d70ad-dc38-4e5f-bc39-066babca2fb2

Metadata PDF
type: Distribution
format: PDF
issued: 2021-02-10T08:17:08.030494
modified: 2021-11-01T11:09:14.465765
access URL: https://zenodo.org/record/4519217/files/Metadata_shp_ACPR_sett_pf.pdf

2021 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2021-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253892
modified: 2024-05-29T14:35:18.227618
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2021-fv04.0.nc

ACPR settlements Permafrost SHP
type: Distribution
format: SHP
issued: 2021-02-10T08:13:36.228932
modified: 2021-11-01T11:09:14.466338
access URL: https://zenodo.org/record/4519217/files/ACPR_sett_pf.shp

can_emis_oil_gas_combustion_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:55:03.808836
modified: 2023-07-13T11:59:59.858883
access URL: https://dataverse.harvard.edu/api/access/datafile/5374077

Knoblauch_2015.zip
type: Distribution
description: ZIP file containing all datasets as tab-delimited text
format: ZIP
issued: 2023-03-28T12:36:25.159629
modified: 2023-03-28T12:36:25.392717
access URL: https://doi.pangaea.de/10.1594/PANGAEA.853641

Dataset_List.csv
type: Distribution
description: You must sign in to ORNL DAAC to download. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See [ORNL DAAC Data Use and Citation Policy](https://daac.ornl.gov/about/#citation_policy) for more information.
format: CSV
issued: 2024-10-25T09:44:11.956360
modified: 2024-10-25T09:44:52.748370
access URL: https://daac.ornl.gov/daacdata/above/FieldData_Alaska_Tundra/data/Dataset_List.csv
media type: text/csv

Sodankylä 2009-05-16 to 2022-06-15
type: Distribution
format: NetCDF
issued: 2022-09-26T12:22:34.276643
modified: 2022-09-26T12:22:34.240418
access URL: https://renc.osn.xsede.org/ini210004tommorrell/10.14291/tccon.ggg2020.sodankyla01.R0/so20180305_20211018.public.qc.nc

ACPR settlements SBX
type: Distribution
format: SBX
issued: 2021-02-02T12:16:20.992416
modified: 2021-11-01T11:09:10.750362
access URL: https://zenodo.org/record/4529610/files/ACPR_sett.sbx

carve_AtmosISGA_L2_Merge_2012_20160722.csv
type: Distribution
description: Must sign in to ORNL DAAC to download
format: csv-geo-au
issued: 2023-03-01T10:59:14.755366
modified: 2023-03-01T10:59:14.962858
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

1999 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1999-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253861
modified: 2024-05-29T14:35:18.224947
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1999-fv04.0.nc

Preview
type: Distribution
format: PNG
issued: 2024-03-25T09:13:46.695512
modified: 2024-03-25T09:13:46.671597
byte size: 847770
media type: image/png

R-55-57 Quaternary Geological Map shapefile zip
type: Distribution
format: SHP
issued: 2021-02-04T10:13:16.417256
modified: 2021-11-01T11:09:12.446017
access URL: https://download.pangaea.de/dataset/927292/files/R-55-57_QuaternaryGeologicalMap_shapefile.zip
media type: application/zip

Chamber gas flux and water chemistry data, 2012, Prudhoe Bay, Alaska.
type: Dataset
description: This dataset contains information obtained from the Prudhoe Bay field site in 2012. Eighteen gas flux measurements locations were established along a transect that included terrain classified according to state of ice wedge degradation. Gas flux measurement and water chemistry analyses were also performed in 16 inundated troughs, or ponds, and 3 lakes near the transect. Flux measurements of methane (CH4) and carbon dioxide (CO2) were made; a total of 201 CH4 flux measurements, and 331 CO2 flux measurements were made. Water samples were collected from soil pore waters where available, and from ponds and lakes on select field campaigns, for a total of 52 samples. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Kimberly Wickland. 2015. Gas flux and water chemistry data, Prudhoe Bay. Arctic Data Center. doi:10.18739/A29K97.
identifier: DOI: 10.18739/A29K97
issued: 2023-03-14T12:13:20.127723
modified: 2024-04-09T12:42:44.622061
spatial: Location
  geometry: POINT (-148.4190 70.2290)
version info: 1.0
contact point: Organization
  fn: Kimberly Wickland
keyword: Methane
keyword: Active Layer
keyword: Carbon Flux
keyword: Permafrost
keyword: Surface Water
landing page: https://arcticdata.io/catalog/view/doi:10.18739/A29K97

Global SCIAMACHY and GOSAT Level 3 gridded atmospheric column-average methane (XCH4) product in Obs4MIPs format, 2003-2014
type: Dataset
description: This dataset contains satellite-derived atmospheric column-average dry-air mole fractions of methane (XCH4), and is a Level 3 gridded product in Obs4MIPs format. It has been derived by the Greenhouse Gases CCI (GHG_cci) project as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme, and was obtained from an ensemble of individual Level 2 (i.e. swath) XCH4 products, retrieved from the satellite sensors SCIAMACHY / ENVISAT and TANSO-FTS / GOSAT. The versions of the Level 2 GHG-CCI data products used as input for this product are those of the GHG_cci 'Climate Research Data Package No. 3' (CRDP#3). This Level 3 Obs4MIPs XCH4 product has been specifically generated for comparisons with climate model output in the context of the CMIP5/CMIP6/IPCC experiments. ###__Citation__ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record: Buchwitz, M.; Reuter, M.; Aben, I.; Boesch, H.; Butz, A.; Detmers, R.G.; Frankenberg, C.; Hasekamp, O.P.; Parker, R.; Schneising, O.; Somkuti, P. (2016): ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Merged SCIAMACHY and GOSAT Level 3 gridded atmospheric column-average methane (XCH4) product in Obs4MIPs format. Centre for Environmental Data Analysis, 10 October 2016. doi:10.5285/C965E4AC-D2AF-4BAA-9E99-A234E9BA0193. https://dx.doi.org/10.5285/C965E4AC-D2AF-4BAA-9E99-A234E9BA0193
issued: 2022-10-20T15:02:21.364421
modified: 2023-06-07T07:41:51.132594
spatial: Location
version info: 100
contact point: Organization
keyword: Methane
keyword: ESA
keyword: CCI
keyword: Obs4MIPS
keyword: GHG
landing page: https://dx.doi.org/10.5285/C965E4AC-D2AF-4BAA-9E99-A234E9BA0193

can_emis_oil_gas_vent_flare_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:56:04.417770
modified: 2023-07-13T12:00:59.075509
access URL: https://dataverse.harvard.edu/api/access/datafile/5374079

User Guide
type: Distribution
format: HTML
issued: 2024-09-20T11:57:20.223462
modified: 2024-09-20T11:57:20.401147
access URL: https://daac.ornl.gov/ABOVE/guides/ABoVE_Izaviknek_Field_Data.html
media type: text/html

lake hydrochemistry NW-CA
type: Distribution
format: TXT
issued: 2023-08-11T09:29:20.933837
modified: 2023-08-11T09:43:59.960546
access URL: https://doi.pangaea.de/10.1594/PANGAEA.935012

2014 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2014-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253882
modified: 2024-05-29T14:35:18.226764
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2014-fv04.0.nc

Methane data from Barter Island 05.09.2017
type: Distribution
format: TXT
issued: 2022-09-20T09:24:43.907313
modified: 2022-09-20T09:33:50.312742
access URL: https://doi.pangaea.de/10.1594/PANGAEA.898631

Preview
type: Distribution
description: Taken from: Scarpelli, T. R., Jacob, D. J., Moran, M., Reuland, F., & Gordon, D. (2021). A gridded inventory of Canada’s anthropogenic methane emissions. Environmental Research Letters, 17(1), 014007. https://doi.org/10.1088/1748-9326/ac40b1
format: PNG
issued: 2023-07-13T11:21:29.446252
modified: 2023-07-13T11:53:58.969101
byte size: 232156
media type: image/jpeg

final_products.zip
type: Distribution
format: ZIP
issued: 2024-10-28T08:46:39.067402
modified: 2024-10-28T08:47:14.226862
access URL: https://data.ess-dive.lbl.gov/catalog/d1/mn/v2/object/ess-dive-b1cad4e525bc60a-20240716T180518923

Walz_2016.zip
type: Distribution
description: ZIP file containing all datasets as tab-delimited text
format: ZIP
issued: 2023-03-29T09:06:41.113475
modified: 2023-03-29T09:06:41.343737
access URL: https://doi.pangaea.de/10.1594/PANGAEA.864866

IRYP WMS Service
type: Distribution
description: from maps.awi.de
format: WMS
issued: 2020-08-27T10:38:15.600014
modified: 2021-11-01T11:08:41.723827
access URL: https://maps.awi.de/services/projects/apgc/iryp/wms

2003 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2003-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253866
modified: 2024-05-29T14:35:18.225411
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2003-fv04.0.nc

NDVI trend from Landsat time series, 1999-2014, Alaskan Arctic Coastal Plain (US)
type: Dataset
description: Normalized difference vegetation index (NDVI) trend map was computed for the Alaskan Arctic Coastal Plain between 1999 and 2014. The decadal trend of each pixel was computed using 40-110 individual Landsat (TM, ETM+, OLI) satellite images acquired during July or August. ### __Credits__ This work was supported through the Next-Generation Ecosystem Experiments (NGEE-Arctic) project supported by the Office of Biological and Environmental Research in the U.S. Department of Energy Office of Science, and the Integrated Ecosystem Model for Alaska and Northwest Canada project supported by the USGS Alaska Climate Science Center and by the Arctic, Western, and Northwest Boreal Landscape Conservation Cooperatives Detailed information about the methods can be found in the [publication to which this dataset is a supplement](https://doi.org/10.1038/sdata.2018.58). ###__Citation__ __In order to use these data, you must cite this data set with the following citation:__ Lara, M. J. SNAP Data Portal https://doi.org/10.21429/C9F04D (2017)
issued: 2020-04-24T10:01:49.680121
modified: 2025-01-15T09:20:46.893820
spatial: Location
version info: 1.0
contact point: Organization
  fn: Lara, Mark J.
keyword: NDVI
keyword: Permafrost
keyword: Vegetation productivity
landing page: https://doi.org/10.21429/C9F04D

IRYP-DB, link to FileGDB
type: Distribution
description: *ZIP containing feature-layer from doi.pangaea.de/10.1594/PANGAEA.861733:* iryp_data_frames iryp_field_photos iryp_field_sites QG1000k_quaternary_deposits_thickness QG1000k_yedoma_russia QG2500k_yedoma_russia SG500k_yedoma_russia SG7200k_yedoma_alaska western_yukon_loess *Description: * IRYP_yedoma_digitalization.doc *Tables:* QG1000k_genetic_description iryp_field_sites_detail
format: FileGDB
issued: 2016-09-07T10:59:22.786249
modified: 2023-06-16T14:19:00.117581
access URL: https://hs.pangaea.de/Maps/IRYP_V1/IRYP_v1_ESRI_10.2.2_FileGDB.zip
media type: application/zip

Preview
type: Distribution
description: Taken from: Walz, J et al. (2018): Greenhouse gas production in degrading ice-rich permafrost deposits in northeastern Siberia. Biogeosciences, 15(17), 5423-5436, https://doi.org/10.5194/bg-15-5423-2018
format: JPEG
issued: 2023-03-29T08:02:05.329966
modified: 2023-03-29T08:02:41.213977
byte size: 195493
media type: image/jpeg

Chamber methane fluxes with spectrometer from a polygon tundra, 2015, northeastern Siberia
type: Dataset
description: This dataset contains in situ CH4 fluxes measured through the chamber technique over the growing season of 2015 (from July to September) at a wet polygon center and a dry polygon rim in Samoylov Island, Lena River Delta, Northeastern Siberia. A clipping experiment was conducted, resulting in vegetated plots with intact tundra vegetation and clipped and trenched plots where the vegetation was removed. Active layer depths are also presented.
identifier: DOI: 10.1594/PANGAEA.944841
issued: 2023-03-06T13:53:55.134149
modified: 2023-03-08T08:06:31.334124
spatial: Location
  geometry: POINT (126.4722 72.3756)
version info: 1.0
contact point: Organization
  fn: Galera, Leonardo de Aro
keyword: Carbon Flux
keyword: Patterned Ground
keyword: Arctic Tundra
keyword: Methane
landing page: https://doi.org/10.1594/PANGAEA.944841

ASCENDS-AVOCET-CO2_DC8_YYYYMMDD_RC.ict
type: Distribution
description: Measurements of carbon dioxide (CO2) from AVOCET | Must sign in to ORNL DAAC to download
format: ict
issued: 2023-07-13T13:31:55.291884
modified: 2023-07-13T13:34:22.557029
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
format: JPEG
issued: 2018-11-05T13:54:20.648330
modified: 2021-11-01T11:08:59.647395

Arctic Coastal Human Impact dataset (SACHI) derived from Sentinel-1/2, 2016-2020, Circum-Arctic
type: Dataset
description: The SACHI (Sentinel-1/2 derived Arctic Coastal Human Impact) V1 dataset was developed as part of the HORIZON2020 project Nunataryuk by b.geos (www.bgeos.com). V1 covered a 100km buffer from the Arctic Coast (land area), for areas with permafrost near the coast. V2 has been prepared as part of the ESA project EO4PAC. It covers additional selected areas extending the coverage to the south. It is based on Sentinel-1 and Sentinel-2 data from 2016-2020 using the algorithms described in Bartsch et al. (2020). V1 is a supplement to Bartsch et al. (2023) and V2 to Tanguy et al. (2024). V2 consists of two shape files. 1) SACHI_v2.shp - all identified objects with infrastructure/impact classes and auxiliary information 2) SACHI_v2_granules_acquisition_dates - processed Sentinel-2 granule extent polygons with dates of all used input data Dataset reference: see Zenodo "Sentinel-1/2 derived Arctic Coastal Human Impact dataset (SACHI) v2" (zenodo.org) __Description of fields in SACHI_v2.shp:__ class: SACHI class value. 11=linear transport infrastructure (asphalt), 12=linear transport infrastructure (gravel), 13=linear transport infrastructure (undefined), 20=buildings (and other constructions such as bridges), 30=other impacted area (includes gravel pads, mining sites), 40=airstrip, 50=reservoir or other water body impacted by human activities __Description of fields in SACHI_v2_granules_acquisition_dates.shp:__ S2_date1 to S2_date3 - dates of individual Sentinel-2 images used for averaging S1_winter - year(s) of Sentinel-1 images used for averaging (months December and/or January) ### __Notes__ Further support was received by ESA EO4PAC for v2, by ESA CCI+ Permafrost, HGF AI-CORE, and NSF Permafrost DiscoveryGateway for v1. The processing scheme was developed on a highly performant virtual machine (VM) provided by the Copernicus Research and User Support (RUS). Results are based on modified Copernicus data from 2016 to 2020. ### __Citation__ __In order to use these data, you mus…
issued: 2024-04-08T14:06:12.976162
modified: 2024-04-08T14:25:44.835860
spatial: Location
version info: v2.0
contact point: Organization
  fn: Bartsch, Annett
keyword: Arctic
keyword: Settlements
keyword: Infrastructure
landing page: https://doi.org/10.5281/zenodo.10160636

Matlab code
type: Distribution
format: MATLAB
issued: 2020-05-26T13:46:50.938130
modified: 2024-10-28T08:52:25.728571
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/code.zip
media type: application/zip

Publication this dataset is a supplement to
type: Distribution
format: HTML
issued: 2023-02-01T11:18:37.628534
modified: 2023-02-01T11:18:37.847544
access URL: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JG006305

Above Ground Biomass Lena Delta 2018
type: Distribution
description: CSV file created from Shevtsova, Iuliia; Heim, Birgit; Runge, Alexandra; Fuchs, Matthias; Melchert, Jan; Herzschuh, Ulrike (2024): Total above-ground biomass of 25 vegetation sites of central Lena Delta from 2018 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.935923
format: csv-geo-au
issued: 2024-06-13T12:34:44.663314
modified: 2024-06-13T12:35:05.504049
checksum: Checksum
access URL: https://apgc.awi.de/dataset/de390e4f-1749-41b4-9d39-e6042b26d153/resource/fa3e410d-92c0-4b9e-be9b-750c3cb9a34e/download/shevtsova-etal_2024_agb_lena2018.csv
byte size: 3978
media type: text/csv

Land cover classification: polygons of uniform land cover types used for training the classification procedure
type: Distribution
description: 21 archived (*.zip) shapefiles (*.shp) | Must sign in to ORNL DAAC to download
format: ZIP
issued: 2023-07-05T13:33:18.662663
modified: 2023-07-05T13:34:09.517362
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
description: __Figure 8__ Remote sensing reflectance (Rrs; per steradian) spectra measured using the C-OPS between 395 and 865 nm during Legs 2, 3, and 4. Note that Rrs spectra were not measured during Leg 1. __Citation:__ Lizotte, M. Juhls, B. et al. (2023). Nunataryuk field campaigns: Understanding the origin and fate of terrestrial organic matter in the coastal waters of the Mackenzie Delta region. Earth System Science data. Earth Syst. Sci. Data, 15, 1617–1653. https://doi.org/10.5194/essd-15-1617-2023
format: PNG
issued: 2023-06-08T15:33:15.328438
modified: 2023-06-08T15:33:15.306469
media type: image/png

DARTS_NitzeEtAl_v1_coverage_2018_2023_level2.gpkg
type: Distribution
description: Annual coverage of input images for 2018-2023
format: GPKG
issued: 2024-10-24T11:01:10.574840
modified: 2024-10-24T11:03:06.361111
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5cf45b08-f8bd-4a74-96e3-18285857668a

KoPF Vegetation Mass 2018 (Date/Time Start: 2018-04-05, Date/Time End: 2018-09-15) CSV
type: Distribution
description: CSV-file created from KoPF Vegetation Mass 2018 TAB (removed Date/Time column) __Citation:__ Shevtsova, Iuliia; Heim, Birgit; Runge, Alexandra; Fuchs, Matthias; Melchert, Jan; Kruse, Stefan; Herzschuh, Ulrike (2023): Ground layer above-ground biomass of 25 sites central Lena Delta from 2018 - Raw data of dry weight for each sub-ground vegetation type sampling plot. PANGAEA, https://doi.org/10.1594/PANGAEA.956067
format: csv-geo-au
issued: 2023-06-22T09:23:42.670361
modified: 2023-06-22T09:24:03.771201
access URL: https://apgc.awi.de/dataset/ea65ea98-6d70-4753-bb95-0eacf1055a63/resource/4ec99eec-45c0-4611-b405-e138ebb9727e/download/kopf_vegmass_2018.csv
byte size: 10364
media type: text/csv

UAV-based methane data from Barter Island, September 2017, Barrow, 1986-2017, Alaska (US)
type: Dataset
description: Arctic permafrost stores vast amounts of methane (CH4) in subsurface reservoirs. Thawing permafrost creates areas for this potent greenhouse gas to be released to the atmosphere. Identifying "hot spots" of methane flux on a local scale has been limited by the spatial scales of traditional ground-based or satellite-based methane-sampling methods. Here we present methane data from along the coast of Barter Island, Alaska that was produced with an Unmanned Aerial System and an off-the-shelf, cost-effective methane sensor. The data was recorded in Sept., 2017 as part of a larger Arctic coastal erosion investigation study by the U.S. Geological Survey. The datasets contain latitude, longitude and CH4 (ppm).
issued: 2022-09-20T09:24:43.884579
modified: 2024-03-27T14:11:52.740786
spatial: Location
version info: 1.0
contact point: Organization
  fn: Oberle, Ferdinand K
keyword: Methane
keyword: Permafrost
keyword: Drone
keyword: CH4
keyword: UAV
keyword: Arctic
landing page: https://doi.org/10.1594/PANGAEA.898636

Fairbanks kml file
type: Distribution
description: Must sign in to ORNL DAAC to download
format: KML
issued: 2023-02-21T09:58:29.769756
modified: 2023-02-21T09:58:56.647183
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Lake change datasets for 1999-2014 and 2017-2018 based on Landsat and Sentinel-1 data as Polygon Shapefiles
type: Distribution
description: zipped shapefiles
format: SHP
issued: 2024-06-19T11:42:28.661562
modified: 2024-06-19T11:42:28.638433
access URL: https://download.pangaea.de/dataset/922808/files/Nitze_etal_2020_LakeChange_LS-S1_Nitze.zip

Preview
type: Distribution
format: PNG
issued: 2024-03-08T13:10:03.751307
modified: 2024-03-14T10:56:34.028986
byte size: 282490
media type: image/jpeg

Barrow Peninsula kml file
type: Distribution
description: Must sign in to ORNL DAAC to download
format: KML
issued: 2023-02-21T09:59:26.842487
modified: 2023-02-21T10:00:17.471829
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Lidar-derived rasters: microtopographic imagery
type: Distribution
format: Geotiff
issued: 2020-05-26T13:02:46.080938
modified: 2021-11-01T11:08:41.118191
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/microtopography_allSites.zip
media type: application/zip

1997 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1997-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331635
modified: 2024-09-05T07:04:51.380156
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1997-fv04.0.nc

Fairbanks zipped shapefile
type: Distribution
description: Must sign in to ORNL DAAC to download
format: SHP
issued: 2023-02-21T09:47:38.111214
modified: 2023-02-21T09:48:20.836370
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Technical documentation Permafrost CCI project
type: Distribution
format: HTML
issued: 2024-05-29T13:36:30.637698
modified: 2024-05-29T13:37:42.527308
access URL: https://climate.esa.int/en/projects/permafrost/#_key-documents-tab

Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008
type: Dataset
description: Wetlands store large amounts of carbon, and depending on their status and type, they release specific amounts of methane gas to the atmosphere. The connection between wetland type and methane emission has been investigated in various studies and utilized in climate change monitoring and modelling. For improved estimation of methane emissions, land surface models require information such as the wetland fraction and its dynamics over large areas. Existing datasets of wetland dynamics present the total amount of wetland (fraction) for each model grid cell, but do not discriminate the different wetland types like permanent lakes, periodically inundated areas or peatlands. Wetland types differently influence methane fluxes and thus their contribution to the total wetland fraction should be quantified. Especially wetlands of permafrost regions are expected to have a strong impact on future climate due to soil thawing. In this study ENIVSAT ASAR Wide Swath data was tested for operational monitoring of the distribution of areas with a long-term SW near 1 (hSW) in northern Russia (SW = degree of saturation with water, 1 = saturated), which is a specific characteristic of peatlands. For the whole northern Russia, areas with hSW were delineated and discriminated from dynamic and open water bodies for the years 2007 and 2008. The area identified with this method amounts to approximately 300,000 km**2 in northern Siberia in 2007. It overlaps with zones of high carbon storage. Comparison with a range of related datasets (static and dynamic) showed that hSW represents not only peatlands but also temporary wetlands associated with post-forest fire conditions in permafrost regions. Annual long-term monitoring of change in boreal and tundra environments is possible with the presented approach. Sentinel-1, the successor of ENVISAT ASAR, will provide data that may allow continuous monitoring of these wetland dynamics in the future complementing global observations of wetland fraction. …
identifier: DOI: 10.1594/PANGAEA.834502
issued: 2023-02-28T14:04:46.623943
modified: 2023-03-01T12:25:04.347987
spatial: Location
version info: 1.0
contact point: Organization
  fn: Annett Bartsch
keyword: Wetland extent
keyword: Wetlands
keyword: C-band
keyword: Synthetic Aperture Radar
landing page: https://doi.pangaea.de/10.1594/PANGAEA.834502#download

Global-Gridded Daily Methane Emissions from Lake Systems, 2003-2015
type: Dataset
description: This dataset provides global gridded information on lake surface area and open water CH4 emissions at a resolution of 0.25-degree x 0.25-degree for an annual climatology representative of the average conditions from 2003 to 2015. A compilation of flux data from 575 individual lake systems and 893 aggregated flux values were used, and each flux measurement was classified into one of seven ecoclimatic types. Ice-cover-regulated emission seasonality was derived from satellite microwave observations of ice cover phenology and freeze-thaw dynamics. Global lake area was determined from the merger of HydroLAKES and Climate Change Initiative Inland-Water (CCI-IW) remote-sensing data, and lakes were classified into ecoclimatic regions to facilitate linking these types with ecosystem-specific CH4 measurements in the flux compilation. Exploratory estimates of fluxes associated with ice melt and with spring and fall water-column turnover are also included. The data are provided in NetCDF format.
identifier: DOI: 10.3334/ORNLDAAC/2008
issued: 2023-02-01T13:02:16.508606
modified: 2024-04-09T13:09:30.981799
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Ice Extent
keyword: Lakes
keyword: Methane
keyword: Carbon Flux
keyword: Phenological Changes
keyword: Freeze-Thaw
landing page: https://doi.org/10.3334/ORNLDAAC/2008

can_emis_residential_combustion_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:57:13.790569
modified: 2023-07-13T12:02:56.668656
access URL: https://dataverse.harvard.edu/api/access/datafile/5374078

reservoir_area.nc
type: Distribution
description: Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-02-01T11:16:53.476319
modified: 2023-02-22T12:32:25.862762
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

carve_Flask_L2_b23_20131026_20160807204353.nc
type: Distribution
description: 2013 CARVE campaign flights | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-02-23T08:54:34.134520
modified: 2023-02-23T09:07:45.879701
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Western Canadian Arctic Pingo Database
type: Distribution
format: XLSX
issued: 2024-03-18T08:56:04.431019
modified: 2024-03-18T09:00:22.264873
checksum: Checksum
access URL: https://data.mendeley.com/public-files/datasets/kgbsjvrj32/files/036c430b-c16c-4f47-9acd-b850927be788/file_downloaded

Nutrient (NO3, NO2, PO4, SiO4) concentrations in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Water for nitrate (NO3), nitrite (NO2), phosphate (PO4) and silicate (SiO4) was filtered using an acid-washed 60-mL luer-lock syringe combined with an Acrodisc filter (GF/F 0.7 µm). Triplicate samples of filtrate were collected into 15-mL acid-washed polyethylene tubes. Two replicates were kept in the dark at -20°C while the third replicate was poisoned with 24 µL of mercuric chloride and subsequently stored in the dark at 4°C prior to analysis (Hansen & Koroleff, 2007; doi:10.1002/9783527613984.ch10). Nutrient concentrations were determined using an automated colorimetric procedure described in Aminot & Kérouel (2007 (see further details)).
issued: 2023-05-31T09:38:57.908347
modified: 2023-06-01T07:36:36.627694
spatial: Location
version info: 1.0
contact point: Organization
  fn: Lizotte, Martine
keyword: Biogeochemistry
keyword: Hydrographic data
keyword: Mackenzie
keyword: Biooptics
keyword: Coastal waters
landing page: https://doi.org/10.1594/PANGAEA.937578

1998 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1998-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253859
modified: 2024-05-29T14:35:18.224832
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1998-fv04.0.nc

WP4 Mackenzie 2019 bacteria cells CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 bacteria cells __Citation:__ Lizotte, Martine; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Matsuoka, Atsushi; Ferland, Joannie; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Comte, Jérôme; Joux, Fabien; Babin, Marcel (2021): Bacteria cells in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937576, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-05T07:17:27.858085
modified: 2023-06-05T07:17:27.830543
access URL: https://apgc.awi.de/dataset/5ee6c351-ab3a-43af-8a44-1b5f3b65c62a/resource/c8bc77e0-c786-4b54-80f3-8fb6213ce530/download/nunawp4mackenzie19_bact_cell.csv
byte size: 12940
media type: text/csv

2015 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2015-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253883
modified: 2024-05-29T14:35:18.226898
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2015-fv04.0.nc

Algorithm Theoretical Basis Document
type: Distribution
format: PDF
issued: 2024-05-29T14:38:03.331631
modified: 2024-09-05T05:45:47.040808
access URL: https://climate.esa.int/media/documents/CCI_PERMA_D2.2_ATBD_v4.0.pdf

Preview
type: Distribution
description: Taken from: Manning, Cara C M; Zheng, Zhiyin; Fenwick, Lindsay; McCulloch, Ross D; Damm, Ellen; Izett, Robert W; Williams, William J; Zimmermann, Sarah; Vagle, Svein; Tortell, Philippe Daniel (2022): Interannual variability in methane and nitrous oxide concentrations and sea‐air fluxes across the North American Arctic Ocean (2015–2019). Global Biogeochemical Cycles, 36, e2021GB007185, https://doi.org/10.1029/2021GB007185
format: JPEG
issued: 2023-04-11T09:09:50.344405
modified: 2023-04-11T09:10:47.089738
byte size: 54705
media type: image/jpeg

Land surface feature classification, Lena Delta (Russia), 2012-08-08 to 2014-07-06
type: Distribution
format: Geotiff
issued: 2019-01-31T08:42:46.600001
modified: 2023-03-02T12:16:38.385944
media type: image/tiff

2017 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2017-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253886
modified: 2024-05-29T14:35:18.227123
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2017-fv04.0.nc

thumbnail.png
type: Distribution
format: PNG
issued: 2016-08-04T09:47:29.814780
modified: 2021-11-01T11:08:41.723062

Preview
type: Distribution
format: PNG
issued: 2019-02-20T14:05:47.539019
modified: 2021-11-01T11:08:58.155025
byte size: 1006766
media type: image/png

Preview
type: Distribution
description: Taken from: Deng, Z., Ciais, P., Tzompa-Sosa, Z. A., Saunois, M., Qiu, C., Tan, C., Sun, T., Ke, P., Cui, Y., Tanaka, K., Lin, X., Thompson, R. L., Tian, H., Yao, Y., Huang, Y., Lauerwald, R., Jain, A. K., Xu, X., Bastos, A., Sitch, S., Palmer, P. I., Lauvaux, T., d'Aspremont, A., Giron, C., Benoit, A., Poulter, B., Chang, J., Petrescu, A. M. R., Davis, S. J., Liu, Z., Grassi, G., Albergel, C., Tubiello, F. N., Perugini, L., Peters, W., and Chevallier, F.: Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions, Earth Syst. Sci. Data, 14, 1639–1675, https://doi.org/10.5194/essd-14-1639-2022, 2022.
format: JPEG
issued: 2023-04-11T12:06:49.521192
modified: 2023-04-11T12:06:49.514999
byte size: 200979
media type: image/jpeg

Panarctic lagoons area
type: Distribution
description: geopackage containing information for the 520 extracted thermokarst lagoons, including coordinates, lagoon area, and connectivity classification
format: GPKG
issued: 2024-09-20T09:58:16.714644
modified: 2024-09-20T09:58:45.227223
access URL: https://download.pangaea.de/dataset/968886/files/panarctic_lagoons_pangaea.gpkg

1999 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1999-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637703
modified: 2024-05-29T13:42:45.579080
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1999-fv04.0.nc

https://apgc.awi.de/dataset/cf764ebd-808d-4454-bb2d-731d32ce9725/resource/06350de5-aeb1-4963-8a85-4821e61e5f93
type: Distribution
description: Zipped files containing radiocarbon data
format: ZIP
issued: 2023-03-30T08:44:18.564996
modified: 2023-03-30T08:44:18.798500
access URL: https://data-package.ceh.ac.uk/data/355c1ba5-ced8-4b42-b769-01b51797a647.zip
media type: application/zip

Technical documentation Permafrost CCI project
type: Distribution
format: HTML
issued: 2024-05-29T14:35:18.253855
modified: 2024-05-29T14:35:18.224443
access URL: https://climate.esa.int/en/projects/permafrost/#_key-documents-tab

Lidar-derived original point clouds, 2012 chunk04
type: Distribution
format: LASZ
issued: 2020-05-26T13:41:05.036010
modified: 2021-11-01T11:08:41.118990
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2012_chunk04.zip
media type: application/zip

2003 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2003-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637709
modified: 2024-05-29T13:44:32.196999
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2003-fv04.0.nc

Asia.zip
type: Distribution
description: Zipped shapefile of peatland distribution - Asia
format: ZIP
issued: 2023-03-07T15:48:05.353888
modified: 2023-03-07T15:49:11.678321
access URL: https://archive.researchdata.leeds.ac.uk/251/5/Asia.zip
media type: application/zip

2017 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2017-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637729
modified: 2024-05-29T13:48:26.889084
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2017-fv04.0.nc

can_emis_wastewater_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:58:06.468954
modified: 2023-07-13T12:02:41.445948
access URL: https://dataverse.harvard.edu/api/access/datafile/5374083

Data Access
type: Distribution
description: Level 2 XCH4 and XCO v1.8 (swath, quality filtered) and Terms of Use
format: HTML
issued: 2022-11-18T13:12:04.022151
modified: 2022-11-18T13:34:09.666223
access URL: https://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd/

Surface Soil Moisture & Number of Measurements
type: Distribution
format: Geotiff
issued: 2018-08-07T15:47:00.178180
modified: 2021-11-01T11:08:04.445457
access URL: http://hs.pangaea.de/sat/due/regional_ASAR_SSM1km_CentralYakutia_2007-2011_geotiff.zip

Inventory_1990-2019.csv
type: Distribution
format: CSV
issued: 2023-04-11T12:03:04.845047
modified: 2023-04-11T12:03:08.934814
checksum: Checksum
access URL: https://zenodo.org/record/5089799/files/Inventory_1990-2019.csv

Water Body Classification from ENVISAT ASAR Wide Swath, 2007-2008, Yakutsk, Central Yakutia (RU)
type: Dataset
description: The regional waterbody classification is derived from ENVISAT ASAR Wide Swath data with 150 m resolution. Maps represent the extent of water bodies for the summer months July and August for the years 2007 to 2011. Water body maps indicate the presence of water (1) and no water (0). In addition, the number of measurements used to derive the water bodies product are also provided. Water body maps are also available are for Arctic Alaska, the Mackenzie River Valley and Delta, the Laptev Sea Coast, and the Ob Estuary. This dataset is part of the ESA Data User Element (DUE) Permafrost Full Product Set (doi:10.1594/PANGAEA.780111). More information about image processing and classification can be found in the product guide.
issued: 2018-05-15T08:34:29.269830
modified: 2024-03-25T10:42:58.198854
spatial: Location
version info: 2.0
contact point: Organization
  fn: Annett Bartsch
keyword: Water Bodies
keyword: Permafrost
keyword: ENVISAT ASAR Wide Swath
landing page: https://doi.pangaea.de/10.1594/PANGAEA.779754

Svalbard pingo database PANGAEA XLSX
type: Distribution
format: XLSX
issued: 2024-03-08T13:09:01.285348
modified: 2024-03-14T10:56:34.028543
access URL: https://download.pangaea.de/dataset/940793/files/Svalbard_pingo_database_PANGEA-1.xlsx

01_Process_ArcticDEM.ipynb
type: Distribution
description: Jupyter Notebook Python Code
format: IPYNB
issued: 2022-03-30T09:31:34.987038
modified: 2022-03-30T09:32:22.895923
access URL: https://github.com/initze/DL_RTS_Paper/raw/main/scripts/01_Process_ArcticDEM.ipynb

South_America.zip
type: Distribution
description: Zipped shapefile of peatland distribution - South America
format: ZIP
issued: 2023-03-07T15:51:21.335373
modified: 2023-03-07T15:51:21.591378
access URL: https://archive.researchdata.leeds.ac.uk/251/13/South_America.zip
media type: application/zip

Product User Guide
type: Distribution
format: PDF
issued: 2024-05-29T14:35:18.253848
modified: 2024-05-29T14:35:18.224155
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/docs/v4.0/CCI_PERMA_PUG_v4.1.pdf

Technical Document
type: Distribution
format: PDF
issued: 2022-10-20T15:02:21.380227
modified: 2022-10-21T07:37:39.702444
access URL: https://data.ceda.ac.uk/neodc/esacci/ghg/data/obs4mips/crdp_3/CH4/v100/TechNote_SCIAGOSAT_L3_CRDP3_001_XCH4_FINAL.pdf

ABoVE/ASCENDS: Active Sensing of CO2, CH4, and Water Vapor, Alaska and Canada, 2017
type: Dataset
description: This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2), methane (CH4), and water vapor concentrations, plus air temperature, pressure, relative humidity, and wind speed values over Alaska and the Yukon and Northwest Territories of Canada during 2017-07-20 to 2017-08-08. Measurements were taken onboard a DC-8 aircraft during this Active Sensing of CO2 Emissions over Nights, Days and Seasons (ASCENDS) airborne deployment over portions of the Arctic-Boreal Vulnerability Experiment (ABoVE) domain. CO2 and CH4 were measured with NASA's Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument. Water vapor and relative humidity were measured with Diode Laser Hydrometer. Measurements of column-averaged dry-air mixing ratio CO2 measurements (XCO2) were taken with the CO2 Sounder Lidar instrument. The airborne CO2 Sounder is a pulsed, multi-wavelength Integrated Path Differential Absorption lidar. It estimates XCO2 in the nadir path from the aircraft to the scattering surface by measuring the shape of the 1572.33 nm CO2 absorption line. The data were collected in order to capture the spatial and temporal dynamics of the northern high latitude carbon cycle as part of ABoVE and are provided in ICARTT file format. There are 40 data files in ICARTT format (*.ict) included in this dataset ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Abshire, J.B., J. Mao, H. Riris, S.R. Kawa, and X. Sun. 2022. ABoVE/ASCENDS: Active Sensing of CO2, CH4, and Water Vapor, Alaska and Canada, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2050 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/2050
issued: 2023-07-13T13:26:07.700429
modified: 2024-04-09T12:46:50.732965
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Methane
keyword: Atmospheric Carbon Dioxide
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Isotopic composition of ground ice, ebullition gases and thermokarst lake water, Alaska, 2008-2010
type: Dataset
description: Thermokarst lakes are thought to have been an important source of methane (CH4) during the last deglaciation when atmospheric CH4 concentrations increased rapidly. Here we demonstrate that meltwater from permafrost ice serves as an H source to CH4 production in thermokarst lakes, allowing for region-specific reconstructions of dD-CH4 emissions from Siberian and North American lakes. dD CH4 reflects regionally varying dD values of precipitation incorporated into ground ice at the time of its formation. Late Pleistocene-aged permafrost ground ice was the dominant H source to CH4 production in primary thermokarst lakes, whereas Holocene-aged permafrost ground ice contributed H to CH4 production in later generation lakes. We found that Alaskan thermokarst lake dD-CH4 was higher (-334 ± 17 per mil) than Siberian lake dD-CH4 (-381 ± 18 per mil). Weighted mean dD CH4 values for Beringian lakes ranged from -385 per mil to -382 per mil over the deglacial period. Bottom-up estimates suggest that Beringian thermokarst lakes contributed 15 ± 4 Tg CH4 /yr to the atmosphere during the Younger Dryas and 25 ± 5 Tg CH4 /yr during the Preboreal period. These estimates are supported by independent, top-down isotope mass balance calculations based on ice core dD-CH4 and d13C-CH4 records. Both approaches suggest that thermokarst lakes and boreal wetlands together were important sources of deglacial CH4.
identifier: DOI: 10.1594/PANGAEA.808037
issued: 2023-04-11T13:29:53.198776
modified: 2023-04-11T13:55:29.563420
spatial: Location
version info: 1.0
contact point: Organization
  fn: Laura Susan Brosius
landing page: https://doi.pangaea.de/10.1594/PANGAEA.808037

Eddy covariance measurements of methane flux from freshwater wetlands, 2006-2018, Global
type: Dataset
description: FLUXNET-CH4 is an initiative led by the Global Carbon Project, in close partnership with AmeriFlux and EuroFlux, to compile a global database of eddy covariance (EC) methane flux measurements. Data are standardized, post-processed (i.e., partitioned and gap-filled), and released as FLUXNET-CH4. FLUXNET-CH4 Version 1.0 includes data from 81 sites, representing freshwater, coastal, upland, natural, and managed ecosystems. The near continuous, high-frequency nature of EC measurements offers significant promise for improving our understanding of ecosystem-scale CH4 flux dynamics. The FLUXNET-CH4 Community Product is distributed in files separated by sites and by temporal aggregation resolutions (e.g., half-hourly or daily). Version information is also assigned to the file to document changes required for a site. The file naming convention below details these options for each file. Multiple files with different temporal aggregation resolution (same site, same data product) are available for download as a single ZIP file archive. Site information metadata are also provided with a data download. Data variable descriptions can be found [here](https://fluxnet.org/data/fluxnet-ch4-community-product/data-variables/). The FLUXNET-CH4 Community Product is distributed under the two tiers of the FLUXNET2015 Data Policy. Tower teams chose data policy tiers for their site. Data distributed in both tiers can be accessed from the [Data Download](https://fluxnet.org/data/fluxnet-ch4-community-product/) page for the FLUXNET-CH4 Dataset. To see a list of site-years of data available for each site, please refer to the list of sites and data availability. __IMPORTANT:__ In case of a synthesis using both CC-By-4.0 (Tier One) and Tier Two data, all data should be treated as Tier Two. See the [FLUXNET 2015 Data Policy](https://fluxnet.org/data/data-policy/) for an explanation of data tiers.
identifier: DOI specific to site | See metadata file for DOI list
issued: 2023-02-02T09:35:45.174737
modified: 2024-04-09T12:50:28.459129
spatial: Location
version info: 1.0
contact point: Organization
  fn: FLUXNET
keyword: FLUXNET-CH4
keyword: Methane
keyword: Wetlands
keyword: Biogeochemistry
keyword: Eddy Covariance
keyword: Seasonality
landing page: https://fluxnet.org/data/fluxnet-ch4-community-product/

2008 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2008-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637716
modified: 2024-05-29T13:45:52.565303
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2008-fv04.0.nc

Methane and nitrous oxide dissolved gas concentrations in seawater from the North American Arctic Ocean (2015–2018)
type: Dataset
description: This dataset contains methane and nitrous oxide dissolved gas concentration, dissolved methane carbon isotope, and ancillary hydrographic data from research cruises in the North American Arctic Ocean between 2015-2018. Ocean samples for methane and nitrous oxide analysis were collected from Niskin bottles mounted on a CTD rosette. Water was collected into glass serum bottles and allowed to overflow three times before preserving with mercuric chloride and sealing with with butyl rubber stoppers and aluminum crimp seals. Gas concentrations were determined using a purge and trap system coupled to a gas chromatograph/mass spectrometer, following the method of Capelle et al. (2015). Equilibrium dry atmospheric concentrations were 328.25, 329.14, 330.11, and 330.96 ppb for N2O and 1919.64, 1933.67, 1934.92, and 1933.50 ppb for CH4 in 2015, 2016, 2017, and 2018, respectively. Equilibrium dissolved concentrations were calculated from the measured temperature and salinity following Wiesenburg and Guinasso (1979) for CH4 and Weiss and Price (1980) for N2O. Equilibrium concentrations were calculated based on sample temperature and salinity and the atmospheric N2O or CH4 concentrations measured at Barrow, Alaska by the NOAA Earth System Research Laboratory Global Monitoring Division (Dlugokencky et al., 2020a,b), with corrections to local sea level pressure and 100% humidity. Oxygen concentration was determined using an oxygen sensor mounted on the Niskin rosette, calibrated with discrete samples analyzed by Winkler titration. The mixed layer depth was defined based on a potential density difference criterion of 0.125 kg/m³ relative to the density at 5 m depth, using CTD profiles binned to 1 m. The mixed layer depth was set to 5 m as a minimum. For methane δ13C, samples were pre-concentrated through a purge and trap system (Finnigan PreCon Trace Gas Pre-Concentrator) and measured with a Finnigan Delta XP Plus mass spectrometer following the method of Damm et al. (2015).
identifier: DOI: 10.1594/PANGAEA.941194
issued: 2023-04-11T08:14:38.548622
modified: 2023-04-11T08:59:53.675177
spatial: Location
version info: 1.0
contact point: Organization
  fn: Manning, Cara C M
keyword: Ocean
keyword: Arctic
keyword: Nitrous Oxide
keyword: Methane
keyword: River
landing page: https://doi.pangaea.de/10.1594/PANGAEA.941194

can_emis_oil_gas_leakage_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:55:39.553617
modified: 2023-07-13T12:00:42.542863
access URL: https://dataverse.harvard.edu/api/access/datafile/5374082

Svalbard pingo database CSV
type: Distribution
format: csv-geo-au
issued: 2024-03-08T13:09:01.285353
modified: 2024-03-14T10:56:46.736927
checksum: Checksum
access URL: https://apgc.awi.de/dataset/270d5e8d-f8b1-4b40-9852-fc87e5e0ce34/resource/fa2c4a88-520a-4ae6-890b-99f1bcb0c38e/download/svalbard_pingo_database.csv
byte size: 51992
media type: text/csv

Ice wedge polygon occurrence and geomorphology from LiDAR elevation data, 2012 and 2014, south of Prudhoe Bay, Alaska (US)
type: Dataset
description: We mapped the occurrence of more than one million ice wedge polygons over a landscape of approximately 1,200 square kilometers, just south of Prudhoe Bay in northern Alaska, USA. The microtopographic relief at the center of each polygon was then calculated relative to the periphery, as a proxy for low-centered or high-centered form. Polygon boundaries are presented as shapefiles in UTM Zone 6N coordinates; the centroid, area, and relative elevation at the center of each instance are included in the associated attribute tables. Each shapefile covers one square kilometer of terrain; a unified attribute table in tab-delineated format is also provided. Additionally, the lidar-derived elevation data used as input for the mapping procedure are presented in GeoTIFF (rasterized) and LAZ (point-cloud) formats, and code (written in MATLAB vR2017b) has been uploaded. Additional information regarding the creation of the data sets can be found in the [accompanying manuscript in Scientific Data](https://doi.org/10.1038/s41597-020-0423-9).
issued: 2020-05-26T13:01:13.320608
modified: 2024-10-28T08:52:25.711751
spatial: Location
version info: 1.0
contact point: Organization
  fn: Abolt, Charles J
keyword: Thermokarst
keyword: Polygonal Networks
keyword: Ice Wedge
keyword: Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.910178

CARVE atmospheric gas concentrations, airborne flasks, Alaska, 2012-2015
type: Dataset
description: This dataset provides atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), molecular hydrogen (H2), nitrous oxide (N2O), sulfur hexafluoride (SF6), and other trace gas mole fractions (i.e. "concentrations") from airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The CARVE flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas abundances. The data were derived from laboratory measurements of whole air samples collected by a Programmable Flask Package (PFP) onboard the CARVE aircraft. Air samples were collected at strategic intervals to coincide with the overflight of a ground site of interest, or when interesting geophysical conditions were encountered. While most of these samples were collected near the surface in the planetary boundary layer (PBL), on almost every flight samples were also collected in the free troposphere. A minimum of 12 flask samples were collected per flight. Whole air samples collected in the PFPs were analyzed on automated systems at the NOAA Earth System Research Laboratory (ESRL) Global Monitoring Division in Boulder, CO, which also analyzes samples from the NOAA/ESRL Global Greenhouse Gas Reference Network. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Sweeney, C., J.B. Miller, A. Karion, S.J. Dinardo, and C.E. Miller. 2016. CARVE: L2 Atmospheric Gas Concentrations, Airborne Flasks, Alaska, 2012-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1404 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/ear…
identifier: DOI: 10.3334/ORNLDAAC/1404
issued: 2023-02-23T08:52:00.309647
modified: 2023-03-01T12:25:54.083308
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

2015 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2015-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637726
modified: 2024-05-29T13:47:55.851866
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2015-fv04.0.nc

2021 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2021-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331669
modified: 2024-09-05T07:10:14.651238
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2021-fv04.0.nc

T-MOSAiC 2021 data tab-delimited text
type: Distribution
format: TXT
issued: 2024-03-21T08:55:06.850942
modified: 2024-03-21T09:47:19.161777
access URL: https://doi.pangaea.de/10.1594/PANGAEA.956039

workspace.zip
type: Distribution
format: ZIP
issued: 2024-10-28T08:47:14.262132
modified: 2024-10-28T08:48:01.179551
access URL: https://data.ess-dive.lbl.gov/catalog/d1/mn/v2/object/ess-dive-d14b153e959213d-20240522T215245978

Northern Seward Peninsula kml file
type: Distribution
description: Must sign in to ORNL DAAC to download
format: KML
issued: 2023-02-21T09:58:56.674038
modified: 2023-02-21T09:59:26.809485
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

README
type: Distribution
format: TXT
issued: 2022-09-26T12:22:34.276645
modified: 2022-09-26T12:22:34.240648
access URL: https://renc.osn.xsede.org/ini210004tommorrell/10.14291/tccon.ggg2020.sodankyla01.R0/README.txt

Pingo footprints
type: Distribution
description: __Zipped Shapefile__ Citation: Wolfe, Stephen; Morse, Peter; Parker, Ryan; Phillips, Marcus (2023), “Distribution and morphometry of pingos, western Canadian Arctic, Northwest Territories, Canada: Datasets and Supplementary Materials”, Mendeley Data, V1, doi: 10.17632/kgbsjvrj32.1
format: SHP
issued: 2024-03-18T09:51:42.129292
modified: 2024-03-18T09:51:42.115629
access URL: https://apgc.awi.de/dataset/15def601-f612-448a-884d-f7710bb79f43/resource/95d8d539-c538-4f96-87b5-9c6f4eb928a1/download/westerncanadianarcticpingo_footprints.zip
byte size: 1545173
media type: application/zip

ACPR settlements SHP
type: Distribution
format: SHP
issued: 2021-02-02T12:16:43.426478
modified: 2021-11-01T11:09:10.750486
access URL: https://zenodo.org/record/4529610/files/ACPR_sett.shp

Wetland methane emission map zipped netCDF files
type: Distribution
format: NetCDF
issued: 2023-02-22T12:50:06.639913
modified: 2023-02-22T16:55:18.718617
access URL: https://zenodo.org/record/3247295/files/CH4_RF.zip

Land Surface Feature Classification from TerraSAR-X, 2013, Lena Delta, Laptev and East Siberian Sea Region (RU)
type: Dataset
description: Land surface features (water, wetland, tundra, and bare surfaces) were classified from TerraSAR-X with a resolution of 5 m for August 2012 and July 2014. The product is based on the interpretation of polarimetric TerraSAR-X data (HH/VV polarisation). More information on the classification can be found in the product guide and the related publication.
issued: 2019-01-31T08:41:36.373895
modified: 2023-03-16T10:04:22.686649
spatial: Location
version info: 1.0
contact point: Organization
  fn: Bartsch, Annett
keyword: Polarimetry
keyword: TerraSAR-X
keyword: Permafrost
keyword: Surface Structure
keyword: Land Cover
keyword: Vegetation
landing page: https://doi.pangaea.de/10.1594/PANGAEA.897627

Documentation
type: Distribution
format: HTML
issued: 2022-09-26T12:22:34.276649
modified: 2022-09-26T12:22:34.241098
access URL: https://doi.org/10.14291/tccon.ggg2014.documentation.R0/1221662

Panarctic lagoons point
type: Distribution
description: point geopackage containing information for the 520 extracted thermokarst lagoons
format: GPKG
issued: 2024-09-20T09:58:45.247398
modified: 2024-09-20T09:59:15.463157
access URL: https://download.pangaea.de/dataset/968886/files/point_dataset_panarctic_lagoons_pangaea.gpkg

Preview
type: Distribution
format: JPEG
issued: 2019-01-24T14:43:49.568019
modified: 2021-11-01T11:09:09.254041
byte size: 915932
media type: image/jpeg

ASCENDS-DLH_DC8_YYYYMMDD_RC.ict
type: Distribution
description: Measurements of water vapor and humidity from the Diode Laser Hydrometer instrument | Must sign in to ORNL DAAC to download
format: ict
issued: 2023-07-13T13:32:44.876701
modified: 2023-07-13T13:34:59.414209
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Frozen State Backscatter Intensity from Sentinel-1, 2016-2017, Mackenzie Delta, Beaufort Sea Region (CA)
type: Dataset
description: Frozen state backscatter intensity was derived from Sentinel-1 acquisitions from December 2015 and 2016. By excluding the effects of liquid water content (acquisitions under frozen conditions), backscatter only depends on surface roughness and vegetation structure. C-HH winter backscatter could be shown to correspond to wetness levels. Smooth surfaces represent wetter areas than rough surfaces (with respect to wavelength, ~5.6 cm). In addition, C-band SAR information (frozen condition) can be directly translated into soil organic carbon content of the upper 0-100 cm for areas without woody vegetation. The completet dataset covers the following regions: Yamal peninsula (Russia), Usa Basin (Russia), Lena Delta (Russia), Mackenzie Delta (Canada), Barrow, Toolik and Teshekpuk Lake region (Alaska). Click the 'Groups' tab above for an overview of all datasets. More information about image processing can be found in the product guide and the related publications.
issued: 2019-01-24T13:37:56.226368
modified: 2023-06-05T13:33:46.795279
spatial: Location
version info: 1.0
contact point: Organization
  fn: Bartsch, Annett
keyword: Sentinel-1
keyword: Surface Wetness
keyword: Land Surface Structure
keyword: Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.897046

Preview
type: Distribution
description: Taken from: Manning, Cara C M; Zheng, Zhiyin; Fenwick, Lindsay; McCulloch, Ross D; Damm, Ellen; Izett, Robert W; Williams, William J; Zimmermann, Sarah; Vagle, Svein; Tortell, Philippe Daniel (2022): Interannual variability in methane and nitrous oxide concentrations and sea‐air fluxes across the North American Arctic Ocean (2015–2019). Global Biogeochemical Cycles, 36, e2021GB007185, https://doi.org/10.1029/2021GB007185
format: JPEG
issued: 2023-04-11T07:46:34.717385
modified: 2023-04-11T07:46:34.689707
byte size: 143715
media type: image/jpeg

Ascends-Hskping_DC8_YYYYMMDD_RC.ict
type: Distribution
description: Meteorological and navigation measurements from the DC-8 platform | Must sign in to ORNL DAAC to download
format: ict
issued: 2023-07-13T13:33:29.606830
modified: 2023-07-13T13:35:12.514740
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Layer file for visualizing final land cover maps with ArcGIS
type: Distribution
description: Must sign in to ORNL DAAC to download
format: lyr
issued: 2023-07-05T13:55:25.989264
modified: 2023-07-05T14:20:20.447983
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

R-55-57 Quaternary Geological Map ISO19139 xml
type: Distribution
format: XML
issued: 2021-02-04T10:13:50.080987
modified: 2021-11-01T11:09:12.446136
access URL: https://download.pangaea.de/dataset/927292/files/R-55-57_QuaternaryGeologicalMapISO19139.xml
media type: application/xml

ACPR settlements DBF
type: Distribution
format: dBase
issued: 2021-02-02T12:15:09.292939
modified: 2021-11-01T11:09:10.750068
access URL: https://zenodo.org/record/4529610/files/ACPR_sett.dbf

Preview
type: Distribution
format: PNG
issued: 2018-08-07T15:46:23.106010
modified: 2021-11-01T11:08:04.445289

Geochemistry of incubated permafrost and seawater from the western Canadian Arctic
type: Dataset
description: We present geochemical and hydrochemical information on individual permafrost and seawater samples from the Yukon Coast in the western Canadian Arctic used for an incubation experiment. The experiment mimicked erosion of permafrost coasts in the Arctic by mixing different kind of permafrost (i.e. organic-enriched and mineral) with ambient seawater at temperatures of 4 and 16°C during the course of 4 months (the approximate length of an Arctic open-water season). The data sets contain information on basic geochemical parameters measured before and after the experiment and on the production of greenhouse gases, which include carbon dioxide (CO2) and methane (CH4). This data set contains the geochemical and hydrochemical data for permafrost and seawater as well as the total amount of CO2 and CH4 cumulated during the course of the experiment. The study aims at understanding the role of eroding permafrost coasts for the Arctic carbon cycle and budget.
identifier: DOI: 10.1594/PANGAEA.905905
issued: 2023-04-11T16:01:25.567890
modified: 2024-04-09T12:36:09.065507
spatial: Location
version info: 1.0
contact point: Organization
  fn: Tanski, George
keyword: Arctic
keyword: Coastal Erosion
keyword: Permafrost
keyword: Carbon cycling
keyword: Greenhouse gas source
landing page: https://doi.pangaea.de/10.1594/PANGAEA.905905

Pingo Database, 2022, Svalbard (NO)
type: Dataset
description: The data contains the list of pingo and pingo-like forms over Svalbard archipelago. Each pingo is assigned with following data: coordinates, absolute height of pingo baseline, height of the mound, diameter of the mound, morphology of the mound, presence or absence of craters and crater lakes, presence or absence and chemical composition of springs/icings, chemical composition of springs/icings if applicable, geomorphological positioning, positioning relative to the local Holocene transgression limit, slope exposition if applicable, observed morphology dynamics, distance to the nearest glacier, presence or absence of vegetation cover, absolute or relative age of pingo formation where available, local geological strata and tectonic province, presence of confirmed or assumed fault line. The data allows to obtain statistics necessary for analizing pingos as phenomena of Svalbard. The Iidentification of pingos is based on Svalbard aerial survey high resolution images which are publicly available at Norwegian Polar Institute online Topo Svalbard DEM resource (https://toposvalbard.npolar.no, 2008-2012). High resolution satellite images covering the whole archipelago are furthermorealso available at the Zoom Earth online database (https://zoom.earth). Pingo positioning, morphology, vegetation cover, presence of craters and distance to glaciers were analyzed using Norwegian Polar Institute Topo Svalbard S0 Terrengmodel Svalbard DEM model (2014) with 2-5 m resolution and orthophoto base map (maximum cache scaling 1:625 and resolution 0.165). Absolute height measurement accuracy is in range of ±2 m. The presence of pingo springs was determined based on earlier reported data (Liestøl, 1977) with addition of pingos where icings are clearly visible on winter/spring Topo Svalbard and Zoom Earth 2018-2020 satellite images. Special information such as absolute age, drilling results, spring composition base on published data (Orvin, 1944; Liestøl, 1977; Yoshikawa and Harada, 1995, Ma…
issued: 2024-03-08T13:09:01.278155
modified: 2024-03-18T14:05:07.735886
spatial: Location
version info: 1.0
contact point: Organization
  fn: Demidov, Vasiliy
keyword: Permafrost
keyword: Pingo
landing page: https://doi.org/10.1594/PANGAEA.940793

README
type: Distribution
description: publisher catalogue and licence information
format: TXT
issued: 2024-05-29T14:35:18.253856
modified: 2024-05-29T14:35:18.224596
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/00README_catalogue_and_licence.txt

Arctic Permafrost Geospatial Centre
type: Catalog
language: en
modified: 2025-05-21T13:25:54.012507

ACPR settlements SHX
type: Distribution
format: SHX
issued: 2021-02-02T12:17:07.344660
modified: 2021-11-01T11:09:10.750588
access URL: https://zenodo.org/record/4529610/files/ACPR_sett.shx

Product Guide
type: Distribution
format: PDF
issued: 2018-08-07T11:34:46.205239
modified: 2021-11-01T11:08:04.114265
access URL: http://epic.awi.de/30304/1/ESA_DUE_Permafrost_SAR_SSM_version2_product_guide_v1.0.pdf

*_Hotspots_ARL_WIce_20141008.zip
type: Distribution
description: Must sign in to ORNL DAAC to download
format: ZIP
issued: 2023-07-13T13:10:39.980675
modified: 2023-07-13T13:10:39.964137
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
description: Fig. 3. Spatial distribution of the in situ surface salinity in the coastal waters for leg 1 (A), leg 2 (B), leg 3 (C) and leg 4 (D). __Citation:__ Juhls, B, Matsuoka, A., Lizotte, M. et al. (2022). Seasonal dynamics of dissolved organic matter in the Mackenzie Delta, Canadian Arctic waters: Implications for ocean colour remote sensing. Remote Sensing of Environment, 283,113327. https://doi.org/10.1016/j.rse.2022.113327.
format: JPEG
issued: 2023-06-06T14:58:30.422868
modified: 2023-06-06T14:58:30.397857
media type: image/jpeg

Product User Guide
type: Distribution
format: PDF
issued: 2022-11-18T13:12:04.022155
modified: 2022-11-18T13:34:09.666488
access URL: https://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd/data/v18/pug_wfmd.pdf
media type: application/pdf

Phytoplankton pigment concentrations measured by HPLC in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: The determination of phytoplankton using high performance liquid chromatography (HPLC) is detailed in Hooker et al. (2005; doi:10.1364/AO.44.000553) and Ras et al. (2008; doi:10.5194/bg-5-353-2008). Briefly, the pigments of particles retained on GF/F (0.7 µm) filters were extracted at -20°C with 3 mL methanol (100%). The filter samples were then disrupted using a sonicator and clarified one hour later by vacuum filtration through GF/F filters. The extracts were rapidly analyzed within 24h by HPLC with a complete Agilent Technologies system (comprising LC Chemstation software, a degasser, a binary pump, a refrigerated autosampler, a column thermostat and a diode array detector).
issued: 2023-06-08T14:53:23.064780
modified: 2023-06-08T15:26:55.408839
spatial: Location
version info: 1.0
contact point: Organization
  fn: Matsuoka, Atsushi
keyword: Biogeochemistry
keyword: Mackenzie
keyword: Hydrographic data
keyword: Biooptics
keyword: Coastal waters
landing page: https://doi.org/10.1594/PANGAEA.937585

Lidar-derived original point clouds, 2012 chunk06
type: Distribution
format: LASZ
issued: 2020-05-26T13:41:55.508103
modified: 2021-11-01T11:08:41.119282
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2012_chunk06.zip
media type: application/zip

ACPR settlements XML
type: Distribution
format: XML
issued: 2021-02-02T12:17:34.885119
modified: 2021-11-01T11:09:10.750672
access URL: https://zenodo.org/record/4529610/files/ACPR_sett.shp.xml

Algorithm Theoretical Basis Document
type: Distribution
format: PDF
issued: 2024-05-29T13:36:30.637696
modified: 2024-05-29T13:37:42.527218
access URL: https://climate.esa.int/media/documents/CCI_PERMA_D2.2_ATBD_v4.0.pdf

Methane production in laboratory incubations of Arctic soil, Utqiaġvik, Alaska, 2018
type: Dataset
description: When wet Arctic tundra soils begin to freeze in the fall, an unfrozen layer remains between the frozen surface and deeper permafrost layers. This period is known as the zero curtain, as liquid water keeps the temperature of this soil layer near 0 Celsius (C) while latent heat is gradually dissipated. This experiment compares the temperature response of the methanogenic community in the zero curtain period with that of the summer community to test whether the zero curtain methanogenic community is especially cold adapted. This dataset includes methane production rates measured in anaerobic laboratory incubations of soils collected from two dates (July and Nov 2018) at temperatures around 0, 4 and 10C. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ David Lipson. (2021). Methane production in laboratory incubations of Arctic soil at three temperatures, 2018. Arctic Data Center. doi:10.18739/A29882P2H.
issued: 2023-03-29T12:29:54.347453
modified: 2024-04-09T12:40:20.841860
spatial: Location
  geometry: POINT (-156.5890 71.2805)
version info: 1.0
contact point: Organization
  fn: David Lipson
keyword: Methane
keyword: Soil Incubation
keyword: Permafrost
keyword: Arctic Tundra
landing page: https://arcticdata.io/catalog/view/doi%3A10.18739%2FA29882P2H

WP4 Mackenzie 2019 temperature & salinity surface water
type: Distribution
format: TXT
issued: 2023-06-07T09:29:13.666231
modified: 2023-06-08T07:09:24.169120
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937571

Preview
type: Distribution
format: PNG
issued: 2024-03-18T09:29:52.009162
modified: 2024-03-18T09:50:44.781377
byte size: 517880
media type: image/png

Preview
type: Distribution
format: PNG
issued: 2021-01-20T11:30:52.430669
modified: 2021-11-01T11:07:40.397468
byte size: 929729
media type: image/png

carve_GroundISGA_L2_b23_20141231_20160115005756.nc
type: Distribution
description: 2014 Tower data | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-03-01T12:52:30.931679
modified: 2023-03-01T12:52:31.205112
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
format: PNG
issued: 2018-08-07T11:32:38.341738
modified: 2021-11-01T11:08:04.114008

Particulate organic carbon (POC) and particulate organic nitrogen (PON) concentrations in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Particulate organic carbon (POC) and particulate organic nitrogen (PON) concentrations were obtained from water samples filtered on precombusted (450°C for >5 hours) 47mm Whatmann GF/F (0.7 µm) filters. The filters were dried overnight at 60°C and vacuum-sealed for storage in aluminum foil kept at -20°C until analysis. To determine POC and PON concentrations, the filters were acidified with 200-350 µl HCl 2N to remove carbonates, dried at 60°C overnight and then burned on a pre-calibrated CHN analyzer (Perkin Elmer, combustion at 925°C) for determination of the CO2 produced (Doxaran et al. 2012; doi:10.5194/bg-9-3213-2012).
issued: 2023-06-02T09:58:29.901035
modified: 2023-06-02T13:14:25.773312
spatial: Location
version info: 1.0
contact point: Organization
  fn: Lizotte, Martine
keyword: Biogeochemistry
keyword: Hydrographic data
keyword: Mackenzie
keyword: Biooptics
keyword: Coastal waters
landing page: https://doi.org/10.1594/PANGAEA.937575

DARTS_NitzeEtAl_v1_features_2018_2023_level2.gpkg
type: Distribution
description: Footprints of RTS and ALD features, maximum extent aggregated per calendar year
format: GPKG
issued: 2024-10-24T11:01:10.574825
modified: 2024-10-24T11:03:06.360853
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A91b12042-18fb-4ded-8854-124ff3be6a11

Product Guide
type: Distribution
format: PDF
issued: 2018-08-07T15:47:22.076640
modified: 2021-11-01T11:08:04.445594
access URL: https://doi.pangaea.de/10013/epic.39180.d001

Sites of plant macrofossil records CSV
type: Distribution
description: created from https://ars.els-cdn.com/content/image/1-s2.0-S0277379123001038-mmc1.xlsx __Citation:__ Richard E. Fewster, Paul J. Morris, Graeme T. Swindles, Ruza F. Ivanovic, Claire C. Treat, Miriam C. Jones, Holocene vegetation dynamics of circum-Arctic permafrost peatlands, Quaternary Science Reviews, Volume 307, 2023, 108055, ISSN 0277-3791, https://doi.org/10.1016/j.quascirev.2023.108055
format: csv-geo-au
issued: 2023-05-17T14:22:23.118149
modified: 2023-05-17T14:34:30.017453
access URL: https://apgc.awi.de/dataset/a23842b2-a065-46be-8972-38521c9ea6bc/resource/4a054e9c-5a72-4986-a611-2397628bc717/download/1-s2.0-s0277379123001038-mmc1.csv
byte size: 9217
media type: text/csv

Publication - this dataset is a supplement to
type: Distribution
description: Widhalm, B.; Bartsch, A.; Goler, R. Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments. Remote Sens. 2018, 10, 551.
format: HTML
issued: 2019-01-24T13:39:21.282993
modified: 2021-11-01T11:08:47.571474
access URL: https://www.mdpi.com/2072-4292/10/4/554

Regional Water Bodies, 2009-2011, Ob Estuary
type: Distribution
format: Geotiff
issued: 2018-04-23T10:33:50.476083
modified: 2021-11-01T11:08:06.645145
access URL: http://hs.pangaea.de/sat/due/ObEstuaryWaterbodies_ASAR75m_regional_2009-2011.zip

Arctic Landscape EXplorer (ALEX)
type: Distribution
description: The Arctic Landscape EXplorer (ALEX) presents change data derived from remote sensing analysis for permafrost regions throughout the Arctic. Interactive maps provide up-to-date information on land surface changes, hotspots of disturbance, and potential areas of active permafrost thaw and erosion. Using tailored visualizations and story maps as a means to more effectively communicate scientific observations of change, the tool is specifically addressing non-scientific user communities, stakeholders, and rights holders in the Arctic.
format: HTML
issued: 2024-03-25T15:24:46.447199
modified: 2024-03-27T13:16:15.060869
access URL: https://alex.awi.de

WetCHARTs_extended_ensemble.nc4
type: Distribution
description: Limited subset for 2001-2015 | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-03-07T11:20:31.101802
modified: 2023-03-07T11:20:31.321190
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
format: PNG
issued: 2018-04-23T09:48:29.412122
modified: 2021-11-01T11:08:05.926247

Permafrost ground temperature for the Northern Hemisphere, v4.0 from MODIS LST, ERA5, 1997-2021
type: Dataset
description: This dataset contains v4.0 permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m). Case A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. Case B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2021 using a pixel-specific statistics for each day of the year. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Westermann, S.; Barboux, C.; Bartsch, A.; Delaloye, R.; Grosse, G.; Heim, B.; Hugelius, G.; Irrgang, A.; Kääb, A.M.; Matthes, H.; Nitze, I.; Pellet, C.; Seifert, F.M.; Strozzi, T.; Wegmüller, U.; Wieczorek, M.; Wiesmann, A. (2024): ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v4.0. NERC EDS Centre for Environmental Data Analysis, 04 April 2024. doi:10.5285/20ec12f5d1f94e99aff2ed796264ee65. https://dx.doi.org/10.5285/20ec12f5d1f94e99aff2ed796264ee65
issued: 2024-05-29T14:35:18.241814
modified: 2024-05-29T14:46:06.240985
spatial: Location
version info: v4.0
contact point: Organization
  fn: Westermann, Sebastian
keyword: CCI
keyword: Permafrost
keyword: Ground Temperature
landing page: https://dx.doi.org/10.5285/20ec12f5d1f94e99aff2ed796264ee65

DARTS_NitzeEtAl_v1_features_2018_2023_level2.parquet
type: Distribution
description: Footprints of RTS and ALD features, maximum extent aggregated per calendar year
format: PARQUET
issued: 2024-10-24T11:01:10.574831
modified: 2024-10-24T11:03:06.360941
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A3a44d9bc-daa8-417e-a15e-5c983dda591a

NunaWP4Mackenzie19_Rrs CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 Rrs __Citation:__ Matsuoka, Atsushi; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Lizotte, Martine; Ferland, Joannie; Doxaran, David; Maury, Juliette; Babin, Marcel (2021): Remote sensing reflectance (Rrs) of the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937583, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-07T14:45:03.788139
modified: 2023-06-07T14:45:27.508599
access URL: https://apgc.awi.de/dataset/05e3e80b-beb5-4f2b-a79b-7206b5c46f1c/resource/d71c1bdd-8386-479e-afc9-2c87feb67d79/download/nunawp4mackenzie19_rrs.csv
byte size: 19306
media type: text/csv

Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0), 2009-2010
type: Dataset
description: This data set provides global monthly wetland methane (CH4) emissions and uncertainty data products derived from an ensemble of multiple terrestrial biosphere models, wetland extent scenarios, and CH4:C temperature dependencies. The data are at 0.5 by 0.5-degree resolution. Two model output data products are included in WetCHARTs v1.0: an output from the full ensemble for 2009-2010 and an output from a limited subset for 2001-2015. The intended use of the products is as a process-informed wetland CH4 emission and uncertainty data set for atmospheric chemistry and transport modelling (WetCHARTs). ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Bloom, A.A., K. Bowman, M. Lee, A.J. Turner, R. Schroeder, J.R. Worden, R.J. Weidner, K.C. McDonald, and D.J. Jacob. 2017. CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.0). ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1502 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/1502
issued: 2023-03-07T11:17:49.742595
modified: 2023-03-07T16:04:16.617155
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Emissions
keyword: Wetlands
keyword: Methane
landing page: https://doi.org/10.3334/ORNLDAAC/1502

Preview
type: Distribution
description: Taken from: Walz, Josefine; Knoblauch, Christian; Böhme, Luise; Pfeiffer, Eva-Maria (2017): Regulation of soil organic matter decomposition in permafrost-affected Siberian tundra soils - Impact of oxygen availability, freezing and thawing, temperature, and labile organic matter. Soil Biology and Biochemistry, 110, 34-43, https://doi.org/10.1016/j.soilbio.2017.03.001
format: JPEG
issued: 2023-03-29T09:08:43.858598
modified: 2023-03-29T09:08:43.841472
byte size: 112168
media type: image/jpeg

NunaWP4Mackenzie19_DOC CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 bacteria cells __Citation:__ Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Matsuoka, Atsushi; Lizotte, Martine; Ferland, Joannie; Overduin, Pier Paul; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Fritz, Michael; Babin, Marcel (2021): Dissolved organic carbon (DOC) concentration in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937573, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-05T09:23:26.718221
modified: 2023-06-05T09:23:45.210864
access URL: https://apgc.awi.de/dataset/97c5c06d-362a-43d4-a5c9-f1300c21b3c6/resource/70e7100b-0bc3-4576-9384-a5b1b5b2b172/download/nunawp4mackenzie19_doc.csv
byte size: 12617
media type: text/csv

Regional Water Bodies, 2007-2011, Laptev Sea Region
type: Distribution
format: Geotiff
issued: 2018-04-19T16:25:28.869041
modified: 2021-11-01T11:08:06.291362
access URL: http://hs.pangaea.de/sat/due/LaptevSeaWaterbodies_ASAR75m_regional_2007-2011.zip

Synthesis data of plant macrofossil records CSV
type: Distribution
description: created from https://ars.els-cdn.com/content/image/1-s2.0-S0277379123001038-mmc2.xlsx __Citation:__ Richard E. Fewster, Paul J. Morris, Graeme T. Swindles, Ruza F. Ivanovic, Claire C. Treat, Miriam C. Jones, Holocene vegetation dynamics of circum-Arctic permafrost peatlands, Quaternary Science Reviews, Volume 307, 2023, 108055, ISSN 0277-3791, https://doi.org/10.1016/j.quascirev.2023.108055
format: csv-geo-au
issued: 2023-05-17T14:23:48.343336
modified: 2023-05-17T14:33:37.831595
access URL: https://apgc.awi.de/dataset/a23842b2-a065-46be-8972-38521c9ea6bc/resource/8e45d9cc-cf98-4f17-a265-35854169f461/download/1-s2.0-s0277379123001038-mmc2.csv
byte size: 500629
media type: text/csv

N2O_inversion_1997-2016.csv
type: Distribution
format: CSV
issued: 2023-04-11T12:05:48.452927
modified: 2023-04-11T12:05:50.599277
checksum: Checksum
access URL: https://zenodo.org/record/5089799/files/N2O_inversion_1997-2016.csv

photographs of Ice-Rich Yedoma permafrost sites
type: Distribution
description: https://doi.pangaea.de/10.1594/PANGAEA.861395
format: GeoJSON
issued: 2016-09-22T10:01:11.202224
modified: 2021-11-01T11:08:41.723712
access URL: https://apgc.awi.de/dataset/98af4e07-c311-480b-816e-6b184d979645/resource/660a0aa2-9763-4385-b054-b6bd6dd1d3dd/download/irypphotodb.geojson

DCAT Metadata
type: Distribution
description: generated by zenodo
format: XML
issued: 2024-04-08T14:25:16.472848
modified: 2024-04-08T14:25:44.842911
access URL: https://apgc.awi.de/dataset/19837cce-c354-4303-8d0a-12a7ccde8dc8/resource/6615df8a-38c5-4709-b080-98ebc4efb888/download/10160636_dcat.xml
byte size: 11747
media type: application/xml

WP4 Mackenzie 2019 CTD CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 CTD (removed last 7 lines) __Citation:__ Bécu, Guislain; Juhls, Bennet; Oziel, Laurent; Leymarie, Edouard; Matsuoka, Atsushi; Lizotte, Martine; Ferland, Joannie; Babin, Marcel (2021): Hydrographic (CTD) profiles in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937567, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-06T07:24:44.699654
modified: 2023-06-06T07:24:44.674471
access URL: https://apgc.awi.de/dataset/4352a18d-6399-4eb7-a310-3c2e078cfa77/resource/89ab9b96-8720-43ca-94f4-1491fe30c573/download/nunawp4mackenzie19_ctd.csv
byte size: 5309587
media type: text/csv

User Guide
type: Distribution
format: HTML
issued: 2023-07-13T13:09:10.177140
modified: 2023-07-13T13:10:39.963970
access URL: https://daac.ornl.gov/ABOVE/guides/Methane_Ebullition_Lakes_AK.html
media type: text/html

N2O_CH4_Flux.tab
type: Distribution
format: TXT
issued: 2023-04-11T09:08:23.527923
modified: 2023-04-11T09:09:50.326612
access URL: https://doi.pangaea.de/10.1594/PANGAEA.941199

Laboratory soil incubation respiration rates from permafrost in subarctic Canada, 2013 & 2014
type: Dataset
description: This dataset contains measures of laboratory soil incubation respiration rates from permafrost in subarctic Canada. Soil cores were sampled from a peatland plateau and a thawing feature of the peatland plateau and from a unburnt and a burnt black spruce forest, and also additional sites in Yukon. Soil samples from the active layer and permafrost and from organic and mineral horizons were incubated under oxic and anoxic conditions at 5 and 15 celsius degrees. Soil samples were kept wet at water holding capacity for aerobic incubations and extra water was added in anaerobic incubations to ensure saturation and water filling of soil pores. CO2 concentrations were measured using an EGM-4 Infrared Gas Analyser (PP Systems). For anoxic conditions, incubations were flushed with N2, and CO2 and CH4 concentration were measured using a EGM4 (CO2) and a DP-IR Detecto Pak (CH4) analysers. CO2 and CH4 production rates were calculated assuming linear increase in headspace concentrations. Production rates are expressed as mg of C (either C-CO2 or C-CH4) per day and gram of dry soil. Carbon and nitrogen content are expressed as percentage of dry mass. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Estop-Aragones, C.; Fisher, J.P.; Cooper, M.A.; Thierry, A.; Treharne, R.; Murton, J.B.; Phoenix, G.K.; Charman, D.J.; Williams, M.; Hartley, I.P. (2016). Laboratory soil incubation respiration rates from permafrost in subarctic Canada. NERC Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/0c79defa-d762-4ad1-a714-02e177d8e690 __You must always use the following attribution statement to acknowledge the source of the information:__ "Contains data supplied by UK Centre for Ecology & Hydrology."
identifier: DOI: 10.5285/0c79defa-d762-4ad1-a714-02e177d8e690
issued: 2023-03-29T14:44:32.592130
modified: 2024-04-09T12:39:32.183559
spatial: Location
  geometry: POINT (-132.3684 60.0910)
version info: 1.0
contact point: Organization
  fn: NERC EDS Environmental Information Data Centre
keyword: Methane
keyword: Soil Incubation
keyword: Permafrost
landing page: https://catalogue.ceh.ac.uk/documents/0c79defa-d762-4ad1-a714-02e177d8e690

Pingo locations with metrics
type: Distribution
description: __Zipped Shapefile__ Citation: Wolfe, Stephen; Morse, Peter; Parker, Ryan; Phillips, Marcus (2023), “Distribution and morphometry of pingos, western Canadian Arctic, Northwest Territories, Canada: Datasets and Supplementary Materials”, Mendeley Data, V1, doi: 10.17632/kgbsjvrj32.1
format: SHP
issued: 2024-03-18T09:50:44.799625
modified: 2024-03-18T09:51:42.115462
access URL: https://apgc.awi.de/dataset/15def601-f612-448a-884d-f7710bb79f43/resource/98a9fd3e-6896-4de0-a6ce-ca1d60923f1a/download/westerncanadianarcticpingo_locations_with_metrics.zip
byte size: 501931
media type: application/zip

Soil incubation data from ice-rich permafrost deposits in Northeast Siberia, 2014
type: Dataset
description: CO2 and CH4 production in aerobic and anaerobic incubation in sediments samples from Muostakh Island (sample code MUO12), the Buor Khaya Peninsula (BK8), and Bol'shoy Lyakhovsky (L14-05 and L14-02). CO2 and CH4 production at 4°C over a 134-day (MUO12) or a 785-day incubation period (BK8, L14-05, L14-02) measured by gas chromatography.
identifier: DOI: 10.1594/PANGAEA.892950
issued: 2023-03-29T07:58:35.001315
modified: 2024-04-09T12:41:34.963078
spatial: Location
version info: 1.0
contact point: Organization
  fn: Josefine Walz
keyword: Soil Incubation
keyword: Permafrost
keyword: Biogeochemistry
keyword: Arctic Tundra
keyword: Methane
landing page: https://doi.pangaea.de/10.1594/PANGAEA.892950

Soil respired radiocarbon as CO2 and CH4 from permafrost in subarctic Canada, 2013 & 2014
type: Dataset
description: This dataset contains measures of soil respired radiocarbon as CO2 and CH4 from peatland plateaus and thawing peatland plateaus and from burnt and unburnt forests from permafrost in subarctic Canada. The radiocarbon content of soil respired CO2 and CH4 was measured during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus, thawing features of peatland plateaus and unburnt and burnt black spruce forests. Soil respired CO2 and CH4 was collected from chambers and probes in zeolite molecular sieve cartridges (Type 13X). The cartridges were sent to the NERC Radiocarbon Facility in East Kilbride, UK for 14C analysis and were assigned a publication code. Values of radiocarbon enrichment are expressed in percent modern carbon. Ages are reported as conventional radiocarbon age with years BP (before present, where present is defined as AD 1950). ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Estop-Aragones, C.; Fisher, J.P.; Cooper, M.A.; Thierry, A.; Treharne, R.; Murton, J.B.; Phoenix, G.K.; Charman, D.J.; Williams, M.; Hartley, I.P. (2016). Laboratory soil incubation respiration rates from permafrost in subarctic Canada. NERC Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/0c79defa-d762-4ad1-a714-02e177d8e690 __You must always use the following attribution statement to acknowledge the source of the information:__ "Contains data supplied by UK Centre for Ecology & Hydrology."
identifier: DOI: 10.5285/355c1ba5-ced8-4b42-b769-01b51797a647
issued: 2023-03-30T08:43:40.503045
modified: 2024-04-09T12:37:03.484342
spatial: Location
version info: 1.0
contact point: Organization
  fn: NERC EDS Environmental Information Data Centre
keyword: Permafrost Methane Release
keyword: Isotopes
keyword: Wetlands
keyword: Methane
keyword: Permafrost
landing page: https://catalogue.ceh.ac.uk/documents/355c1ba5-ced8-4b42-b769-01b51797a647

Regional Water Bodies, 2007-2008, Central Yakutia
type: Distribution
format: Geotiff
issued: 2018-05-15T10:37:17.603638
modified: 2021-11-01T11:08:05.195211
access URL: http://hs.pangaea.de/sat/due/CentralYakutiaWaterbodies_ASAR75m_regional_2007-2011.zip

Gridded inventory of Canada's anthropogenic methane emissions for 2018
type: Dataset
description: This dataset contains a gridded inventory of Canada's 2018 anthropogenic methane emissions at 0.1 x 0.1 degree. National and provincial emission totals in the inventory match Canada's National Inventory Report (2020) used for reporting greenhouse gas emissions to the United Nations Framework Convention on Climate Change (UNFCCC). This dataset includes separate gridded inventory files for each emission sector and subsector as shown in Table 1 and Table 2 of Scarpelli et al. [2021]. Emissions are allocated to sources on the 0.1 x 0.1 degree grid using a collection of national and provincial geospatial datasets, and incorporates point source emissions as reported in Canada's Greenhouse Gas Reporting Program (GHGRP) in 2020. (2021-11-06) All gridded emissions files are at 0.1 x 0.1 degree resolution and reflect 2018 annual emissions, though emissions can be readily updated to other years by scaling total emissions using Canada's annually reported National Inventory Report (NIR). There is a netCDF file for each emission sector. Each netCDF contains gridded variables for (1) total sector emissions with the extension "(total)", (2) corresponding subsector and source type emissions, and (3) latitude/longitude centers and area of each grid cell. Codes used to represent sectors and subsectors follow the definitions in Canada's 2020 NIR. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Scarpelli, Tia; Jacob, Daniel; Moran, Mike; Reuland, Frances; Gordon, Deborah, 2021, "Gridded inventory of Canada's anthropogenic methane emissions for 2018", https://doi.org/10.7910/DVN/CC3KLO, Harvard Dataverse, V1
identifier: DOI: 10.7910/DVN/CC3KLO
issued: 2023-07-13T11:20:28.507389
modified: 2024-04-09T12:46:24.395498
version info: 1.0
contact point: Organization
  fn: Harvard Dataverse
keyword: Canada
keyword: Methane
keyword: Oil and gas
keyword: Emissions
landing page: https://dataverse.harvard.edu/dataset.xhtml

Preview
type: Distribution
description: __Figure 7__ Linear regressions between particle absorption (ap(λ)) at 443 nm and (a) particulate organic carbon (POC). (b) Total particulate carbon (TPC) for the four WP4 Nunataryuk expeditions (Legs 1, 2, 3, and 4) in 2019. Equations and coefficients of determination (R2) are shown. The blue lines represent the linear regressions, whereas the shaded gray areas show the standard error around the regression lines. Note that the data are plotted on a log scale. __Citation:__ Lizotte, M. Juhls, B. et al. (2023). Nunataryuk field campaigns: Understanding the origin and fate of terrestrial organic matter in the coastal waters of the Mackenzie Delta region. Earth System Science data. Earth Syst. Sci. Data, 15, 1617–1653. https://doi.org/10.5194/essd-15-1617-2023
format: PNG
issued: 2023-06-08T15:31:19.471788
modified: 2023-06-08T15:31:19.434281
media type: image/png

carve_FTS_L2QR_b23_*.zip
type: Distribution
description: 173 *.zip files containing 48 *.png quick-look plots | Must sign in to ORNL DAAC to download
format: ZIP
issued: 2023-03-01T15:44:48.515612
modified: 2023-03-01T15:45:20.671003
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

ACPR settlements Permafrost CPG
type: Distribution
format: CPG
issued: 2021-02-10T08:11:11.665763
modified: 2021-11-01T11:09:14.465904
access URL: https://zenodo.org/record/4519217/files/ACPR_sett_pf.cpg

2020 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2020-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253890
modified: 2024-05-29T14:35:18.227507
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2020-fv04.0.nc

Surface Soil Moisture & Number of Measurements
type: Distribution
format: Geotiff
issued: 2018-08-07T11:33:39.467140
modified: 2021-11-01T11:08:04.114158
access URL: http://hs.pangaea.de/sat/due/regional_ASAR_SSM1km_Mackenzie_2005-2011_geotiff.zip

carve_AtmosISGA_L2_Merge_2013_20160722.csv
type: Distribution
description: Must sign in to ORNL DAAC to download
format: csv-geo-au
issued: 2023-03-01T11:00:23.032024
modified: 2023-03-01T11:01:01.167788
access URL: https://daac.ornl.gov/CARVE/guides/CARVE_L2_AtmosGas_Merge.html
media type: text/html

https://apgc.awi.de/catalog.jsonld
type: PagedCollection
items per page: 100
last: https://apgc.awi.de/catalog.jsonld
last page: https://apgc.awi.de/catalog.jsonld
next: https://apgc.awi.de/catalog.jsonld
next page: https://apgc.awi.de/catalog.jsonld
total items: 365

Particle absorption (aP) in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Absorbance of particles retained on GF/F (0.7 µm) filters was measured using a Varian Cary 100 spectrophotometer equipped with an integrated sphere. Absorbance and reflectance spectra were measured by placing a sample filter in front and back of an integrating sphere, respectively (so-called Transmittance-Reflectance or T-R method; Tassan & Ferrari 1995; doi:10.4319/lo.1995.40.8.1358). An appropriate beta factor specific to the geometry of the instrument was used to calculate absorption coefficients of particles (Tassan & Ferrari 2002; doi:10.1093/plankt/24.8.757).
issued: 2023-06-08T07:33:34.447680
modified: 2023-06-08T15:31:41.963343
spatial: Location
version info: 1.0
contact point: Organization
  fn: Matsuoka, Atsushi
keyword: Mackenzie
keyword: Hydrographic data
keyword: Biooptics
keyword: Coastal waters
keyword: Biogeochemistry
landing page: https://doi.org/10.1594/PANGAEA.937581

README
type: Distribution
description: publisher catalogue and licence information
format: TXT
issued: 2024-05-29T14:38:03.331634
modified: 2024-09-05T05:45:47.041181
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/00README_catalogue_and_licence.txt

Northern Circumpolar Soil Carbon Database, Alaska, geotiff- and netCDF-files
type: Dataset
description: The Northern Circumpolar Soil Carbon Database version 2 (NCSCDv2) is a geospatial database created for the purpose of quantifying storage of organic carbon in soils of the northern circumpolar permafrost region down to a depth of 300 cm. The NCSCDv2 is based on polygons from different regional soils maps homogenized to the U.S. Soil Taxonomy. The NCSCDv2 contains information on fractions of coverage of different soil types (following U.S. Soil Taxonomy nomenclature) as well as estimated storage of soil organic carbon (kg/m2) between 0-30 cm, 0-100 cm, 100-200 cm and 200-300 cm depth. The database was compiled by combining and homogenizing several regional/national soil maps. To calculate storage of soil organic carbon, these soil maps have been linked to field-data on soil organic carbon storage from sites with circumpolar coverage. More information on database processing and properties can be found in the product guide. ###__Citation__ __In order to use these data, you must cite this data set with the following citation:__ Hugelius G, Bockheim JG, Camill, P, Elberling B, Grosse G, Harden JW, Johnson K, Jorgenson T, Koven C, Kuhry P, Michaelson G, Mishra U, Palmtag J, Ping C-L, O’Donnell J, Schirrmeister L, Schuur EAG, Sheng Y, Smith LC, Strauss J, Yu Z. (2013) A new dataset for estimating organic carbon storage to 3m depth in soils of the northern circumpolar permafrost region. Earth System Science Data, 5, 393–402, doi:10.5194/essd-5-393-2013.
issued: 2018-11-05T12:53:28.413178
modified: 2024-04-09T13:02:39.399737
spatial: Location
version info: 2.0
contact point: Organization
  fn: Hugelius, Gustaf
keyword: Cryosols
keyword: Permafrost
keyword: Soil Classification
keyword: Carbon
landing page: https://dx.doi.org/10.5879/ECDS/00000002

Samoylov_Island_CO2_CH4_2014-2015
type: Distribution
description: tab-delimited text (encoding: UTF-8: Unicode)
format: TXT
issued: 2023-02-27T18:07:34.212526
modified: 2023-02-28T07:41:10.156941
access URL: https://doi.pangaea.de/10.1594/PANGAEA.902829

Surface Soil Moisture from ENVISAT ASAR GM, 2005-2011, Mackenzie River Valley and Delta, Beaufort Sea Region (CA)
type: Dataset
description: The SAR Surface Soil Moisture (SSM) product is derived from the ENVISAT ASAR sensor operating in Global Monitoring (GM) mode. The SAR SSM product is a weekly mean composite at 1 km spatial resolution for the years 2005 to 2011. The SAR Surface Soil Moisture parameter represents a relative measure of the soil moisture in the top layer of the soil, scaled between references corresponding approximately to wilting level (0%) and field capacity (100%). In addition to the SSM maps, quality indicator maps provide information on the number of individual SSM retrievals that were averaged in order to achieve the corresponding weekly SSM composites. More information about the image processing and SSM retrieval can be found in the product guide. This dataset is part of the ESA Data User Element (DUE) Permafrost Full Product Set (doi:10.1594/PANGAEA.780111).
issued: 2018-08-07T09:31:58.183859
modified: 2024-03-25T10:45:13.151753
spatial: Location
version info: 2.0
contact point: Organization
  fn: Annett Bartsch
keyword: Permafrost
keyword: ENVISAT ASAR GM
keyword: Surface Soil Moisture
landing page: https://doi.pangaea.de/10.1594/PANGAEA.779658

carve_Flask_L2_b23_20121001_20160807204049.nc
type: Distribution
description: 2012 CARVE campaign flights | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-02-23T08:53:54.577752
modified: 2023-02-23T09:07:36.265459
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

ORNL DAAC
type: Agent

CARVE atmospheric gas concentrations, tower based, Alaska, 2012-2015
type: Dataset
description: This data set provides atmospheric methane (CH4), carbon dioxide (CO2), and carbon monoxide (CO) dry air mole fractions and water vapor mole fractions (H2O) from continuous in situ measurements at the CARVE flux tower in Fox, Alaska between October 2011 and May 2015 for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Air was drawn from three different heights above the base of the tower (31.7 m, 17.1 m, and 4.9 m) and analyzed using a Picarro cavity ring-down spectrometer (CRDS). Measurements of ambient and sonic temperature, vertical and horizontal velocity, and atmospheric pressure are also included in the data set. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Miller, J.B., C. Sweeney, A. Karion, and C.E. Miller. 2017. CARVE: L2 Atmospheric CO2, CO, and CH4 Concentrations, CARVE Tower, Alaska, 2011-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1419 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/1419
issued: 2023-03-01T12:48:14.188986
modified: 2023-03-01T13:57:34.517589
spatial: Location
  geometry: POINT (-147.6000 64.9900)
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Atmospheric Carbon Dioxide
keyword: Arctic Carbon
keyword: Methane
keyword: Carbon Monoxide
keyword: Water Vapor
keyword: Boreal
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

PEATMAP.jpg
type: Distribution
description: The global peatland distribution derived from PEATMAP (1200dpi)
format: JPEG
issued: 2023-03-07T15:46:08.699531
modified: 2023-03-07T15:47:34.645951
media type: image/jpeg

README
type: Distribution
format: TXT
issued: 2024-04-08T14:06:12.989368
modified: 2024-04-08T14:10:19.467425
access URL: https://zenodo.org/records/10160636/files/README.txt

CH4_inversion_2000-2017.csv
type: Distribution
format: CSV
issued: 2023-04-11T11:58:23.976875
modified: 2023-04-11T11:58:31.631185
checksum: Checksum
access URL: https://zenodo.org/record/5089799/files/CH4_inversion_2000-2017.csv

Dublin Core Metadata
type: Distribution
description: generated by zenodo
format: XML
issued: 2024-04-08T14:25:44.857295
modified: 2024-04-08T14:25:44.843105
access URL: https://apgc.awi.de/dataset/19837cce-c354-4303-8d0a-12a7ccde8dc8/resource/54bbaaf2-f1f0-4c6b-88d3-54da71f61c9d/download/10160636_dublin-core.xml
byte size: 3879
media type: application/xml

Chamber measured methane transport through individual aerenchymous plants at a boreal fen and a bog
type: Dataset
description: The presented dataset contains chamber measurements of methane transport (mg CH₄ g dry plant mass-1 day-1) through individual aerenchymous peatland plants and the ancillary data for these measurements. Chamber measurements were performed for 7 plant species at two peatland sites, an oligotrophic fen and an ombrotrophic bog part of Siikaneva peatland complex in Southern Finland (61.8249° N, 24.1390° E, altitude 170 m a.s.l.) , during growing seasons 2013 and 2014 (between 1st of May and 28th of October). The ancillary data contains measurements of water table depth from the moss surface, air and peat temperature during the measurement as well as leaf area, dry mass of plant material, specific leaf area, number of leaves and the proportion of brown leaves in each sample that was measured. The dataset was collected to quantify the impact of plant species, plant properties and environmental factors on methane transport through aerenchymous plants. Plant CH₄ transport rate was measured using custom-made cylinder-shaped chambers that varied in volume between 0.7 and 5.0 liters. A plant sample of 2–104 leaves (depending on the growth form of the measured plant) belonging to the same species was separated from the peat and moss underneath by two plexiglass plates that were attached together with a hinge and had a smooth rubber seal between them to avoid compression of the plant. The proportion of green leaves in the sample varied from 0 to 100 % depending on the phase of the growing season. The sample was then covered with an opaque plastic chamber that was sealed with the plate by a smooth rubber seal attached to the bottom of the chamber. Airtightness of the system was ensured by tightening a belt that extended from one plate to the other over the chamber. Finally, a rubber stopper was used to seal a vent hole in the top of the chamber. Each plant sample was measured for 35 minutes, during which four 20 ml air samples were drawn from the chamber with a syringe through the…
identifier: DOI: 10.1594/PANGAEA.939645
issued: 2023-04-11T10:20:32.408023
modified: 2024-04-09T12:48:42.749474
spatial: Location
  geometry: POINT (24.1390 61.8249)
version info: 1.0
contact point: Organization
  fn: Aino Korrensalo
keyword: Emissions
keyword: Peatlands
keyword: Flux
keyword: Methane
keyword: Wetlands
keyword: Aerenchyma
landing page: https://doi.pangaea.de/10.1594/PANGAEA.939645#download

Publication this dataset is a supplement to
type: Distribution
description: Lara, M. J. et al. Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska. Sci. Data 5:180058 doi: 10.1038/sdata.2018.58 (2018).
format: HTML
issued: 2020-04-29T11:44:35.680007
modified: 2021-11-01T11:09:10.376689
access URL: https://doi.org/10.1038/sdata.2018.58

NunaWP4Mackenzie19_stable_water_isotopes CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 stable water isotopes __Citation:__ Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Matsuoka, Atsushi; Lizotte, Martine; Ferland, Joannie; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Meyer, Hanno; Babin, Marcel (2021): Stable water isotopes (δ18O, δD, d-excess) in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937579, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-05T11:13:08.749548
modified: 2023-06-05T11:13:34.038207
access URL: https://apgc.awi.de/dataset/bafacf51-46ce-4bef-a3f7-1fb6b714ec68/resource/b2129262-7e9c-4dfb-ac25-c70568a3e798/download/nunawp4mackenzie19_stable_water_isotopes.csv
byte size: 14790
media type: text/csv

simulated soil temperature and modelled CO2 fluxes.txt
type: Distribution
format: TXT
issued: 2023-03-06T15:18:50.050201
modified: 2023-03-06T15:19:23.231139
access URL: https://zenodo.org/record/5584710/files/simulated%20soil%20temperature%20and%20modelled%20CO2%20fluxes.txt

WP4 Mackenzie 2019 stable water isotopes
type: Distribution
format: TXT
issued: 2023-06-05T11:11:07.577404
modified: 2023-06-08T07:10:33.682537
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937579

Preview
type: Distribution
format: PNG
issued: 2021-02-04T10:15:12.522794
modified: 2021-11-01T11:09:12.446465
byte size: 489165
media type: image/png

Land cover classification for Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada
type: Distribution
description: 58 files in GeoTIFF (*.tif) format | Must sign in to ORNL DAAC to download
format: geotiff
issued: 2023-07-05T13:30:35.303762
modified: 2023-07-05T13:34:09.517153
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
description: Taken from: Brosius, L. S., Walter Anthony, K. M., Grosse, G., Chanton, J. P., Farquharson, L. M., Overduin, P. P., and Meyer, H. (2012), Using the deuterium isotope composition of permafrost meltwater to constrain thermokarst lake contributions to atmospheric CH4 during the last deglaciation, J. Geophys. Res., 117, G01022, doi:10.1029/2011JG001810.
format: JPEG
issued: 2023-04-11T13:35:11.372180
modified: 2023-04-11T13:35:11.367123
byte size: 61588
media type: image/jpeg

2007 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2007-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253872
modified: 2024-05-29T14:35:18.225919
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2007-fv04.0.nc

2016 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2016-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253885
modified: 2024-05-29T14:35:18.227012
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2016-fv04.0.nc

2021 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2021-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637735
modified: 2024-05-29T13:49:18.223509
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2021-fv04.0.nc

DARTS_NitzeEtAl_v1_coverage_2018_2023_level1.parquet
type: Distribution
description: Coverage of individual image scenes, used for the processing of DARTS Level 1 datasets
format: PARQUET
issued: 2024-10-24T11:01:10.574871
modified: 2024-10-24T11:03:06.361622
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A1f1c0df7-3187-4db9-80be-4f3679eb2e39

Content of carbon isotopes (¹³C and ¹⁴C) in organic carbon pools in terrestrial Siberia
type: Dataset
description: The dataset consists of one xlsx file with four sheets, listing (1) ¹³C and ¹⁴C data of litter and organic layers in northern Russia, Scandinavia, Canada and Alaska; (2) ¹³C and ¹⁴C data of mineral active layers and non-permafrost soils in Siberia; (3) ¹⁴C data of exposures of Holocene peat and thermokarst deposits in Siberia; and (4) ¹⁴C of exposures of Ice Complex deposits in Siberia, including coordinates of sampling sites and references to original publications. This dataset has been used to quantify the contribution of carbon from different terrestrial sources to dissolved and particulate organic carbon in the large Siberian rivers Ob, Yenisey, Lena and Kolyma. To achieve this, we have complemented publicly available long-term monitoring data with a new literature compilation in a statistical approach. The related monitoring dataset with concentrations of dissolved and particulate organic carbon in the Ob, Yenisey, Lena and Kolyma as well as their ¹³C and ¹⁴C contents is found under 'Water Quality' at: https://arcticgreatrivers.org/data/ Link to MATLAB code for statistical source apportionment: https://git.bolin.su.se/bolin/wild-2019 The data on terrestrial OC isotopes are compiled from previous studies. The references are next to the data in the tables. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Wild, B., Andersson, A., Bröder, L., Vonk, J., Hugelius, G., McClelland, J. W., Song, W., Raymond P. A., Gustafsson, Ö. (2019). Rivers across the Siberian Arctic unearth the patterns of carbon release from thawing permafrost. Proceedings of the National Academy of Sciences of the U.S.A. https://doi.org/10.1073/pnas.1811797116
issued: 2021-01-20T11:19:28.774699
modified: 2025-05-21T13:25:54.012507
spatial: Location
version info: 1.0
contact point: Organization
  fn: Wild, Birgit
keyword: Terrestrial
keyword: Permafrost
keyword: Peat
keyword: Arctic Carbon
keyword: Thermokarst
keyword: Active Layer
landing page: https://bolin.su.se/data/wild-2019

2015 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2015-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331661
modified: 2024-09-05T06:01:47.613450
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2015-fv04.0.nc

Product User Guide
type: Distribution
format: PDF
issued: 2024-05-29T13:36:30.637692
modified: 2024-05-29T13:37:42.527092
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/docs/v4.0/CCI_PERMA_PUG_v4.1.pdf

Stable water isotopes (δ18O, δD, d-excess) in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Water samples for stable isotopes were collected untreated in 10 mL HDPE vials, sealed tightly, stored in the dark at 4°C. Measurements were conducted at the laboratory facility for stable isotopes at AWI Potsdam using a Finnigan MAT Delta-S mass spectrometer equipped with equilibration units for the online determination of hydrogen and oxygen isotopic composition. The data is given as δD and δ18O values, which is the per mille difference to standard V-SMOW. The deuterium excess (d-excess) is calculated by: d-excess=δD-8.*δ18O. The measurement accuracy for hydrogen and oxygen isotopes was better than ±0.8%¸ and ±0.1%, respectively (Meyer et al., 2000; doi:10.1080/10256010008032939).
issued: 2023-06-05T11:11:07.568510
modified: 2023-06-08T07:10:33.673913
spatial: Location
version info: 1.0
contact point: Organization
  fn: Juhls, Bennet
keyword: Hydrographic data
keyword: Mackenzie
keyword: Biooptics
keyword: Coastal waters
keyword: Biogeochemistry
landing page: https://doi.org/10.1594/PANGAEA.937579

Mendeley Data
type: Agent

README
type: Distribution
format: TXT
issued: 2020-05-26T13:01:49.973084
modified: 2021-11-01T11:08:41.117871
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/README.txt
media type: text/plain

carve_Flask_L2_b23_20141109_20160807204513.nc
type: Distribution
description: 2014 CARVE campaign flights | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-02-23T08:55:36.334514
modified: 2023-02-23T09:07:58.298141
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

2011 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2011-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253878
modified: 2024-05-29T14:35:18.226401
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2011-fv04.0.nc

reservoir_methane_emissions.nc
type: Distribution
description: Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-02-01T11:17:56.042698
modified: 2023-02-22T12:32:25.863199
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
format: PNG
issued: 2023-08-11T09:43:59.994926
modified: 2023-08-11T09:48:31.094443
byte size: 274935
media type: image/png

Colored dissolved organic matter absorption (aCDOM) and spectal slopes (S) in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Measurement of CDOM absorption was conducted from a water sample within 12 hours of collection using an UltraPath liquid waveguide system (World Precision Instruments, Inc.) over the wavelengths ranging from 200 to 722 nm (see also Matsuoka et al. (2012; doi:10.5194/bg-9-925-2012) for details). To minimize temperature effects, both the sample and the reference water were kept at 4 °C for at least 30 minutes prior to analysis. We followed the International Ocean Colour Coordinating Group (IOCCG) Ocean Optics and Biogeochemistry CDOM protocols (Mannino et al., 2019 (see further details)) with a few modifications: 1) reference water with salinity ±2 relative to the sample was prepared on site a few hours before sample analysis to minimize the effect of difference in refractive index between sample and reference; 2) aCDOM(λ) was measured in flow mode, meaning, a measurement was made while water was running using a peristaltic pump (Lefering et al., 2017; doi:10.1364/AO.56.006357). While the use of a long optical cell provides a good better signal particularly withinin the visible spectral domain essential to SOCRS, it necessarily suffers from light saturation in the UV domain. To overcome this issue, an optimal length of a cell (i.e. 10 cm or 200 cm) was selected following an empirical relationship between optical density observed at 350 and 443 nm based on Matsuoka et al. (2012; doi:10.5194/bg-9-925-2012). For each sample, measurements were done in triplicates of which each was visually inspected for quality control. CDOM measurements were fitted using following equation: a_CDOM (λ)=a_CDOM (λ_0 )*e^(-S(λ-λ_0)), where S is the spectral slope of aCDOM(λ) between 350 and 500 nm (Babin et al., 2003; doi:10.1029/2001JC000882 and Matsuoka et al., 2012; doi:10.5194/bg-9-925-2012).
issued: 2023-06-08T08:09:55.105360
modified: 2023-06-08T08:12:11.503343
spatial: Location
version info: 1.0
contact point: Organization
  fn: Matsuoka, Atsushi
keyword: Biogeochemistry
keyword: Hydrographic data
keyword: Mackenzie
keyword: Biooptics
keyword: Coastal waters
landing page: https://doi.org/10.1594/PANGAEA.937580

CO2 and CH4 rates from incubations and potential fluxes.txt
type: Distribution
format: TXT
issued: 2023-03-06T15:18:08.011983
modified: 2023-03-06T15:18:24.537927
access URL: https://zenodo.org/record/5584710/files/CO2%20and%20CH4%20rates%20from%20incubations%20and%20potential%20fluxes.txt

2010 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2010-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637719
modified: 2024-05-29T13:46:29.222401
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2010-fv04.0.nc

DARTS_NitzeEtAl_v1_features_2018_2023_layerstyle.qml
type: Distribution
format: QML
issued: 2024-10-24T11:01:10.574876
modified: 2024-10-24T11:03:06.361746
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5333cf4f-37cc-44fa-ad10-838ad580ec19

readme.txt
type: Distribution
format: TXT
issued: 2023-03-07T15:45:13.664480
modified: 2023-03-07T15:46:08.688770
access URL: https://archive.researchdata.leeds.ac.uk/251/3/readme.txt
media type: text/plain

XML Metadata
type: Distribution
description: Metadata for this dataset in ISO19139 format.
format: XML
issued: 2020-04-29T08:53:12.662417
modified: 2021-11-01T11:09:10.376604
access URL: https://athena.snap.uaf.edu/geonetwork/srv/en/iso19139.xml

FLUXNET
type: Agent

DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) and active layer detachment slides (ALD) in hotspots of the circum-arctic permafrost region - v1
type: Dataset
description: This dataset, called DARTS, comprises footprints of retrogressive thaw slump (RTS) and active layer detachments slides (ALD) identified and quantified using an automated deep learning approach in RTS hotspots across the Arctic and Subarctic permafrost regions. We utilized multispectral PlanetScope imagery with a spatial resolution of 3 meters (m), complemented by ArcticDEM (Digital Elevation Models) and derived datasets, including slope, relative elevation, and Landsat-derived change trends. The dataset covers an area of 1.6 million square-kilometers (km²), with at least one coverage between 2021 and 2023, and provides annual coverage for approximately 900,000 km². In several highly active key sites, such as Banks Island, Peel Plateau, and Novaya Zemlya, we extended the data frequency and temporal coverage to 2018-2023. We mapped a total of more than 43,000 individual RTS and ALD, many of them multiple times. We offer two levels of datasets; Level 1: RTS footprints per image with timestamps; and Level 2: annually aggregated RTS footprints. Essential metadata includes image footprints, dataset coverage, timestamps, and model-specific information. To enhance reproducibility and further use, the training labels, processing code, and model checkpoints are publicly available. This version, v1, is the first openly accessible release. The dataset will be maintained and continuously updated in both spatial and temporal extent. It can be used for mapping and quantifying RTS, analyzing spatio-temporal patterns of RTS dynamics, or serving as input for landscape dynamics models. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Ingmar Nitze, Konrad Heidler, Nina Nesterova, Jonas Küpper, Emma Schütt, Tobias Hölzer, Sophia Barth, Mark J Lara, Anna Liljedahl, & Guido Grosse. (2024). DARTS: Multi-year database of AI detected retrogressive thaw slumps (RTS) and active layer detachment slides (ALD) in hotspots of the circum-arct…
issued: 2024-10-24T11:01:10.509425
modified: 2024-10-28T08:54:28.447427
spatial: Location
version info: v1
contact point: Organization
  fn: Nitze, Ingmar
keyword: Erosion
keyword: Thermokarst
keyword: Active Layer Detachment Slides
keyword: RTS
keyword: Retrogressive Thaw Slumps
keyword: Arctic
keyword: Artificial Intelligence
keyword: Landslides
keyword: Permafrost
keyword: ALD
keyword: Remote Sensing
keyword: Cryosphere
keyword: Deep learning
landing page: https://doi.org/10.18739/A2RR1PP44

GHG data from inverse models and UNFCCC national inventories, Global, 1990-2019
type: Dataset
description: Anthropogenic greenhouse gas (carbon dioxide, methane, nitrous oxide) data from inverse models and UNFCCC national inventories This dataset contains 5 datasets, including GHG data from inverse models and UNFCCC national inventories in the top emitter countries: 1. CO2_inversion_1990-2019: annual CO2 flux from from 6 inversion models in three sectors: 1. Land flux from all land 2. Land flux from managed land 3. Land flux from managed land by adjusting the lateral flux 2. CH4_inversion_2000-2017: CH4 flux from from 10 in-situ inversion (2000-2017) and 11 satellite inversion (2010-2017) models from four sectors: 1. Anthropogenic emissions from managed land. 2. Emissions from the fossil sector 3. Emissions from the agriculture and waste sector combined 4. Emissions from biomass burning 3. N2O_inversion_1997-2016: anthropogenic N2O emissions from from 3 models. 4. Inventory_1990-2019: inventory data collecting from UNFCCC national inventories. The classification of sectors is corresponding with the inversion data files for each gas specie. 5. Inventory_1990-2019_IPCC: inventory data collecting from UNFCCC national inventories in IPCC category. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Deng, Zhu, Ciais, Philippe, Tzompa-Sosa, Zitely, Saunois, Marielle, Chevallier, Frédéric, Tan, Chang, Sun, Taochun, Ke, Piyu, Cui, Yanan, & Liu, Zhu. (2021). GHG data from inverse models and UNFCCC national inventories v0.1 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5089799
identifier: DOI: 10.5281/zenodo.5089799
issued: 2023-04-11T11:57:05.939972
modified: 2023-04-11T13:15:49.848103
spatial: Location
version info: 1.0
contact point: Organization
  fn: Ciais, Phillipe
landing page: https://zenodo.org/record/5089799

Preview
type: Distribution
format: PNG
issued: 2023-05-31T15:21:05.687171
modified: 2023-06-01T07:06:02.983797
byte size: 960208
media type: image/png

2007 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2007-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637715
modified: 2024-05-29T13:45:35.718925
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2007-fv04.0.nc

2012 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2012-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253879
modified: 2024-05-29T14:35:18.226512
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2012-fv04.0.nc

Preview
type: Distribution
description: Taken from: Laurent, M., Fuchs, M., Herbst, T., Runge, A., Liebner, S., and Treat, C. C.: Relationships between greenhouse gas production and landscape position during short-term permafrost thaw under anaerobic conditions in the Lena Delta, Biogeosciences, 20, 2049–2064, https://doi.org/10.5194/bg-20-2049-2023, 2023.
format: PNG
issued: 2023-07-05T08:35:57.480055
modified: 2023-07-05T08:37:05.162626
byte size: 95565
media type: image/png

DNA_qPCR_Laurent_etal-2022.tab
type: Distribution
format: TXT
issued: 2023-07-05T08:30:15.617769
modified: 2023-07-05T08:30:39.446476
access URL: https://doi.pangaea.de/10.1594/PANGAEA.945680

SAR-based Lake Methane Ebullition Flux User Guide
type: Distribution
format: HTML
issued: 2023-02-21T09:55:09.635481
modified: 2023-02-21T09:55:23.063244
access URL: https://daac.ornl.gov/ABOVE/guides/SAR_Methane_Ebullition_AK.html
media type: text/html

Dissolved organic carbon (DOC) concentration in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Water samples were filtered through 0.7 µm GF/F filter, and acidified with 25 µL Suprapur HCl (10 M) on the same day of sampling. DOC samples were stored and kept at 4°C in the dark during transport until further analysis. Concentration of DOC was measured using high-temperature catalytic oxidation (TOC-VCPH, Shimadzu) at the Alfred-Wegener-Institute (AWI) Potsdam, Germany. Blanks (Milli-Q water) and certified reference standards (Battle-02, Mauri-09 or Super-05 from the National Laboratory for Environmental Testing, Canada) were measured for quality control.
issued: 2023-06-05T09:03:46.960675
modified: 2023-06-05T09:26:32.413186
spatial: Location
version info: 1.0
contact point: Organization
  fn: Juhls, Bennet
keyword: Coastal waters
keyword: Biogeochemistry
keyword: Hydrographic data
keyword: Mackenzie
keyword: Biooptics
landing page: https://doi.org/10.1594/PANGAEA.937573

2014 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2014-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637725
modified: 2024-05-29T13:47:38.336510
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2014-fv04.0.nc

WP4 Mackenzie 2019 particle absorption surface water
type: Distribution
format: TXT
issued: 2023-06-08T07:33:34.450988
modified: 2023-06-08T07:38:23.248323
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937581

Download all
type: Distribution
format: ZIP
issued: 2024-03-18T08:56:04.431014
modified: 2024-03-18T09:00:22.264699
access URL: https://prod-dcd-datasets-cache-zipfiles.s3.eu-west-1.amazonaws.com/kgbsjvrj32-1.zip

AWI Permafrost Web Map Service (WMS)
type: Distribution
format: WMS
issued: 2024-03-25T14:56:58.824845
modified: 2024-03-25T15:03:38.925822
access URL: https://maps.awi.de/services/common/permafrost/wms

ACPR settlements Permafrost SBN
type: Distribution
format: SBN
issued: 2021-02-10T08:12:43.260874
modified: 2021-11-01T11:09:14.466169
access URL: https://zenodo.org/record/4519217/files/ACPR_sett_pf.sbn

2012 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2012-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331657
modified: 2024-09-05T07:08:01.001369
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2012-fv04.0.nc

Preview
type: Distribution
format: PNG
issued: 2023-06-02T13:13:50.158387
modified: 2023-06-02T13:13:50.131570
byte size: 434617
media type: image/png

Atqasuk zipped shapefile
type: Distribution
description: Must sign in to ORNL DAAC to download
format: SHP
issued: 2023-02-21T09:42:18.148128
modified: 2023-02-21T09:42:30.056083
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Regional Water Bodies, 2007-2011, Beaufort Sea Region
type: Distribution
format: Geotiff
issued: 2018-04-23T09:49:30.949880
modified: 2021-11-01T11:08:05.926456
access URL: http://hs.pangaea.de/sat/due/MackenzieWaterbodies_ASAR75m_regional_2007-2011.zip

Harvard Dataverse
type: Agent

mWetCHARTs_full_ensemble.nc4
type: Distribution
description: Full ensemble for 2009-2010 | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-03-07T11:19:28.075000
modified: 2023-03-07T11:24:16.974327
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

KoPF Vegetation mass Chukotka 2018 CSV
type: Distribution
description: CSV file created from KoPF Vegetation mass __Citation:__ Shevtsova, Iuliia; Kruse, Stefan; Herzschuh, Ulrike; Brieger, Frederic; Schulte, Luise; Stuenzi, Simone Maria; Pestryakova, Luidmila A; Zakharov, Evgenii S (2023): Ground layer above-ground biomass of 39 sites in central Chukotka from 2018 - Raw data of dry weight for each sub-ground vegetation type sampling plot. PANGAEA, https://doi.org/10.1594/PANGAEA.956072
format: csv-geo-au
issued: 2023-07-11T07:06:37.274164
modified: 2023-07-11T07:06:37.255434
access URL: https://apgc.awi.de/dataset/a925082d-c033-48d6-b4a5-a55e8e6ae5ff/resource/e81d3c4a-e083-4c2a-9486-4eb2eae70ad0/download/kopf_vegmass_chukotka2018.csv
byte size: 24961
media type: text/csv

Product Guide
type: Distribution
format: PDF
issued: 2019-01-24T13:38:57.167937
modified: 2021-11-01T11:08:47.571337
access URL: http://hs.pangaea.de/sat/GlobPermafrost_Sentinel/C-HH_backscatter/ESA_GlobPermafrost_PD_LCP_LANDB_20190107_v1_1.pdf
media type: application/pdf

Publication - this dataset is a supplement to
type: Distribution
description: Widhalm, B et al. (2018): Classification of Tundra Regions with Polarimetric Terrasar-X Data. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium,22-27 July 2018, Valencia, Spain, 8551-8554, https://doi.org/10.1109/IGARSS.2018.8518283
format: HTML
issued: 2019-01-31T08:43:25.537926
modified: 2021-11-01T11:07:42.182222
access URL: https://ieeexplore.ieee.org/document/8518283

Product Guide
type: Distribution
format: PDF
issued: 2019-02-20T15:30:40.671793
modified: 2021-11-01T11:08:58.155186
access URL: https://apgc.awi.de/dataset/dda1aa95-9872-4380-abfd-5d9e19254ff0/resource/f2cc6f20-77c0-4a37-97ac-abdfea18f803/download/esa_globpermafrost_pd_mnp_20190220_v1.1.pdf
byte size: 570503
media type: application/pdf

1998 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1998-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637702
modified: 2024-05-29T13:42:19.374961
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1998-fv04.0.nc

geomorphic land cover classes
type: Distribution
description: DBF table with class names
format: dBase
issued: 2020-04-29T08:51:16.237085
modified: 2021-11-01T11:09:10.376399
access URL: http://data.snap.uaf.edu/data/IEM/other/polygonal_tundra/acp_112016.tif.dbf

Ground Temperature Map, 2000-2016, New Zealand
type: Dataset
description: The product provides modeled mean annual ground temperatures (MAGT) at the top of the permafrost for New Zealand at 1 km spatial resolution. Permafrost probability (fraction values from 0 to 1) is assigned to each grid cell with MAGT < 0°C. The mean MAGT was validated for the Northern Hemisphere using ground temperature from more than 920 boreholes available in GTN-P and TSP database and regional permafrost publications. The RMSE was 2.0 °C and the validation showed almost no cold or warm bias. The same modelling parameters as for the Northern Hemisphere were used for New Zealand but the results could not be validated due to the lack of borehole data. Modeled ground temperature data is also available for the Northern Hemisphere, the Antarctic, the Andes, and the East African Plateau. More Information about the modelling method can be found in the product guide.
issued: 2019-01-24T14:43:19.955111
modified: 2024-03-25T10:43:42.594358
spatial: Location
version info: 5.0
contact point: Organization
  fn: Obu, Jaroslav
keyword: Permafrost Extent
keyword: Ground Temperature
keyword: Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.905512

Product Guide
type: Distribution
format: PDF
issued: 2018-04-23T10:34:05.957034
modified: 2021-11-01T11:08:06.645229
access URL: http://epic.awi.de/30241/7/ESA_DUE_Permafrost_SAR_Water_version2_product_guide_1.0.pdf

carve_GroundISGA_L2_b23_20121219_20160115005452.nc
type: Distribution
description: 2012 Tower data | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-03-01T12:50:40.879080
modified: 2023-03-01T12:51:04.133034
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

License
type: Distribution
description: catalogue and license information
format: PDF
issued: 2022-10-20T15:02:21.380225
modified: 2022-10-21T07:37:39.702323
access URL: https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf

ACPR settlements Permafrost SHX
type: Distribution
format: SHX
issued: 2021-02-10T08:14:05.104694
modified: 2021-11-01T11:09:14.466421
access URL: https://zenodo.org/record/4519217/files/ACPR_sett_pf.shx

2008 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2008-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253873
modified: 2024-05-29T14:35:18.226040
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2008-fv04.0.nc

2011 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2011-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331655
modified: 2024-09-05T07:07:49.075697
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2011-fv04.0.nc

Lidar-derived rasters: DEM
type: Distribution
format: Geotiff
issued: 2020-05-26T13:02:17.890745
modified: 2021-11-01T11:08:41.118053
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/dem_allSites.zip
media type: application/zip

WP4 Mackenzie 2019 Rrs
type: Distribution
format: TXT
issued: 2023-06-07T14:35:24.772463
modified: 2023-06-08T07:08:27.780514
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937583

ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017
type: Dataset
description: This dataset provides in situ airborne measurements of atmospheric carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), and water vapor concentrations, plus air temperature, pressure, relative humidity, and wind speed values over Alaska and the Yukon and Northwest Territories of Canada during the Arctic Carbon Aircraft Profile (Arctic-CAP) monthly sampling campaigns from April-November 2017. Observations have been averaged to a 10-second interval and are reported with the number of samples (N) and standard deviation. During each of the six monthly campaigns, flights over the Arctic-Boreal Vulnerability Experiment (ABoVE) domain included 25 vertical profiles, from the surface up to 6 km altitude, at locations selected to complement regular long-term vertical profiles, remote sensing data, and ground-based flux tower measurements. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Sweeney, C., and K. McKain. 2019. ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1658 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/1658
issued: 2023-07-05T12:16:43.370660
modified: 2024-04-09T12:47:39.799820
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Atmospheric trace gases
keyword: Carbon Monoxide
keyword: Carbon Dioxide
keyword: Methane
landing page: https://doi.org/10.3334/ORNLDAAC/1658

SACHI v2 granules acquisition dates
type: Distribution
description: zipped shapefile (47.3 kB)
format: SHP
issued: 2024-04-08T14:06:12.989374
modified: 2024-04-08T14:10:57.286042
access URL: https://zenodo.org/records/10160636/files/SACHI_v2_granules_acquisition_dates.zip

ACPR settlements PRJ
type: Distribution
format: PRJ
issued: 2021-02-02T12:15:30.179490
modified: 2021-11-01T11:09:10.750153
access URL: https://zenodo.org/record/4529610/files/ACPR_sett.prj

Ground layer above-ground biomass of 39 sites from 2018 central Chukotka (RU) - Raw data of dry weight for each sub-ground vegetation type sampling plot
type: Dataset
description: Field investigations were performed in four areas: a treeless mountainous tundra (16-KP-04; Lake Rauchuagytgyn area), tundra-taiga transition zone (16-KP-01, Lake Ilirney area) and a northern taiga (18-BIL-01, 18-BIL-02). In total, 39 sites were investigated. The sites were placed to cover different vegetation communities that characterise central Chukotka. Fifteen-meter radius sample plots (sites) were demarcated in the most homogeneous locations. Heterogeneity was accommodated by roughly assorting vegetation into two to three vegetation types per sampling plot. Within each area of roughly estimated vegetation types we selected one 0.5 x 0.5 m subplot for representative ground-layer above-ground biomass (ABG) harvesting (major taxa and other). For moss and lichen AGB harvesting inside 0.5 x 0.5 m subplots representative 0.1 x 0.1 m subplots were chosen. All harvested AGB samples were weighed fresh in the field. In general, AGB samples with a weight of more than 15 g were subsampled. All samples were oven dried (60 °C, 24 h for ground-layer and moss and lichen samples, 48 h for shrub and tree branch samples) and weighed again. This dataset contains the raw data of dry weight for each sub-ground vegetation type sampling plot. All data was collected by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany, The Institute for Biological problems of the Cryolithozone, Russian Academy of Sciences, Siberian branch, and The Institute of Natural Sciences, North-Eastern Federal University of Yakutsk, Yakutsk, Russia. The AGB data calculations for the plot area including tree and tall shrubs can be found at https://doi.org/10.1594/PANGAEA.923719.
issued: 2023-07-11T06:50:43.956801
modified: 2023-07-11T07:06:37.243254
spatial: Location
version info: 1
contact point: Organization
  fn: Shevtsova, Iuliia
keyword: Treeline
keyword: Field measurement
keyword: Above Ground Biomass
keyword: Vegetation
landing page: https://doi.pangaea.de/10.1594/PANGAEA.956072

WP4 Mackenzie 2019 SPM TPC TPN CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 SPM TPC TPN __Citation:__ Lizotte, Martine; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Matsuoka, Atsushi; Ferland, Joannie; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Mével, Gaëlle; Bruyant, Flavienne; Babin, Marcel (2021): Suspended particulate matter (SPM), Total particulate carbon (TPC) and Total particulate nitrogen (TPN) concentrations in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937572, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-02T07:29:43.330109
modified: 2023-06-02T07:29:43.311574
access URL: https://apgc.awi.de/dataset/d4127a45-4c00-403c-8a54-db69b6d50713/resource/25385ae4-08d8-4717-a944-ccfbf8aaf7cc/download/nunawp4mackenzie19_spm_tpc_tpn.csv
byte size: 17184
media type: text/csv

Preview
type: Distribution
description: Figure 2: Geospatial datasets representing the heterogeneity in both landform and NDVI across the ACP of northern Alaska. From: Lara, M., Nitze, I., Grosse, G. et al. Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska. Sci Data 5, 180058 (2018). https://doi.org/10.1038/sdata.2018.58 The tundra geomorphology map (a) was validated with 1000 reference sites (700 and 300 in the Arctic Peaty Lowlands and Arctic Sandy Lowlands, respectively) using 249 SPOT-5 ortho-tiles (b), while the NDVI trend map (c) was developed using between 40 to 110 image observations per 30 m pixel (d).
format: PNG
issued: 2020-04-24T10:02:07.885364
modified: 2025-01-15T09:20:24.510877
media type: image/jpeg

Preview
type: Distribution
description: Figure 1 (Examples of ice wedge thermokarst pool expansion occurring over time spans of 5–9 years in Alaska, Canada, and Russia. Pools are outlined in red within high resolution panchromatic satellite imagery from four survey areas.) from Abolt, C. J., Atchley, A. L., Harp, D. R., Jorgenson, M. T., Witharana, C., Bolton, W. R., Schwenk, J., Rettelbach, T., Grosse, G., Boike, J., Nitze, I., Liljedahl, A. K., Rumpca, C. T., Wilson, C. J., & Bennett, K. E. (2024). Topography Controls Variability in Circumpolar Permafrost Thaw Pond Expansion. Journal of Geophysical Research: Earth Surface, 129(9), e2024JF007675. https://doi.org/10.1029/2024JF007675
format: JPEG
issued: 2024-10-28T08:48:58.352798
modified: 2025-02-24T10:18:33.710002
media type: image/jpeg

Synthesis data of plant macrofossil records
type: Distribution
description: Supplementary Datasets S1
format: XLSX
issued: 2023-05-17T13:25:39.942838
modified: 2023-05-17T14:22:23.090259
access URL: https://ars.els-cdn.com/content/image/1-s2.0-S0277379123001038-mmc2.xlsx

can_emis_coal_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:53:08.364065
modified: 2023-07-13T11:59:14.110219
access URL: https://dataverse.harvard.edu/api/access/datafile/5374084

Settlements located within the permafrost extent in the Arctic Circumpolar Permafrost Region, 2017
type: Dataset
description: We defined permafrost settlements as settlements located within the permafrost extent, as modelled by Obu et al. (2019). The permafrost extent is based on the modeled temperature at the top of the permafrost(TTOP model) for the period 2000-–2016. The permafrost extent is available at the circum-Arctic scale, with a resolution of 1 km2.The permafrost zones are defined as follows: continuous (90-–100% area coverage), discontinuous (50–-90% area coverage), and sporadic (0-–50% area coverage). To estimate the future of permafrost settlements, we used projected permafrost extents modeled by Hjort et al. (2018) using Representative Concentration Pathways (RCPs) 2.6, 4.5, and 8.5 for the period 2041–2060. The model is binary and uses 30 arc-second grid cells (1 km2) to determine if permafrost is present or absent. We used the consensus index (Ic), that which classifies future permafrost extent into hazard zones (1, low; 2, medium; and 3, high hazard zones). When defining hazard zones, the consensus index considers the relative increase of the active layer thickness, ground ice content, ground temperature, permafrost thaw potential, surface properties (sediment/bedrock), fine-grained sediment content, frost susceptibility of ground material, and slope gradient. Some estimates made with linear interpolation technique for 509 settlements using 2002 census data. (Data of settlements over 500 inhabitants inside AHDR's definition on Arctic -77 estimates for 2002) Detailed information about the methods can be found in the [publication to which this dataset is a supplement](https://doi.org/10.1007/s11111-020-00370-6). ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Wang, Shinan, & Ramage, Justine. (2021). Settlements located within the permafrost extent in the Arctic Circumpolar Permafrost Region (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4519217
issued: 2021-02-10T08:09:53.991304
modified: 2024-04-09T13:14:12.637122
spatial: Location
version info: 1.0
contact point: Organization
  fn: Wang, Shinan
keyword: Permafrost thaw
keyword: Risk
keyword: Arctic Population
keyword: Permafrost
keyword: Arctic Infrastructure
keyword: Arctic Settlements
landing page: https://doi.org/10.5281/zenodo.4519217

Permafrost extent for the Northern Hemisphere, v4.0 from MODIS LST, ERA5, 1997-2021
type: Dataset
description: This dataset contains v4.0 permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). Case A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. Case B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2021 using a pixel-specific statistics for each day of the year. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Westermann, S.; Barboux, C.; Bartsch, A.; Delaloye, R.; Grosse, G.; Heim, B.; Hugelius, G.; Irrgang, A.; Kääb, A.M.; Matthes, H.; Nitze, I.; Pellet, C.; Seifert, F.M.; Strozzi, T.; Wegmüller, U.; Wieczorek, M.; Wiesmann, A. (2024): ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v4.0. NERC EDS Centre for Environmental Data Analysis, 04 April 2024. doi:10.5285/93444bc1c4364a59869e004bf9bfd94a. https://dx.doi.org/10.5285/93444bc1c4364a59869e004b…
issued: 2024-05-29T13:36:30.622563
modified: 2024-05-29T14:45:13.391626
spatial: Location
version info: v4.0
contact point: Organization
  fn: Westermann, Sebastian
keyword: CCI
keyword: Permafrost Extent
keyword: Permafrost
landing page: https://dx.doi.org/10.5285/93444bc1c4364a59869e004bf9bfd94a

thaw depth, TOC in active layer, soil temperature 2016.txt
type: Distribution
format: TXT
issued: 2023-03-06T15:19:23.246175
modified: 2023-03-06T15:19:52.140264
access URL: https://zenodo.org/record/5584710/files/thaw%20depth%2C%20TOC%20in%20active%20layer%2C%20soil%20temperature%202016.txt

Soil and incubation data of permafrost-affected soils in Samoylov, 2011 & 2013
type: Dataset
description: The effects of oxygen availability, freezing and thawing, temperature, and labile organic matter (OM) additions on greenhouse gas production were studied in northeast Siberian polygonal tundra soils, including the seasonally thawed active layer and upper perennially frozen permafrost. Soils were incubated at constant temperatures of 1 °C, 4 °C, or 8 °C for up to 150 days. CO2 production in surface layers was three times higher than in the deeper soil. Under anaerobic conditions, SOM decomposition was 2-6 times lower than under aerobic conditions and more CO2 than CH4 was produced. CH4 contributed less than 2% to anaerobic decomposition in thawed permafrost but more than 20% in the active layer. A freeze-thaw cycle caused a short-lived pulse of CO2 production directly after re-thawing. Q10 values, calculated via the equal-carbon method, increased with soil depth from 3.4 ± 1.6 in surface layers to 6.1 ± 2.8 in the permafrost. The addition of plant-derived labile OM (13C-labelled Carex aquatilis leaves) resulted in an increase in SOM decomposition only in permafrost (positive priming). The data files give laboratory data on three active layer and permafrost soils from the northeast Siberian Arctic tundra on Samoylov. The files contain CO2 and CH4 production in several incubations under aerobic and anaerobic conditions, at different temperatures, and with or without the additions of labile organic matter.
identifier: DOI: 10.1594/PANGAEA.864866,
issued: 2023-03-29T09:05:49.417933
modified: 2024-04-09T12:41:00.902402
spatial: Location
  geometry: POINT (126.4898 72.3744)
version info: 1.0
contact point: Organization
  fn: Josefine Walz
keyword: Methane
keyword: Soil Incubation
keyword: Biogeochemistry
keyword: Permafrost
keyword: Arctic Tundra
landing page: https://doi.pangaea.de/10.1594/PANGAEA.864866

IRYP-DB, link to ESRI shapefiles
type: Distribution
description: *ZIP containing Shapefiles from doi.pangaea.de/10.1594/PANGAEA.861733:* iryp_data_frames.shp iryp_field_photos.shp iryp_field_sites.shp QG1000k_quaternary_deposits_thickness.shp QG1000k_yedoma_russia.shp QG2500k_yedoma_russia.shp SG500k_yedoma_russia.shp SG7200k_yedoma_alaska.shp western_yukon_loess.shp
format: SHP
issued: 2016-09-07T10:54:54.589933
modified: 2023-06-16T14:19:31.219125
access URL: https://hs.pangaea.de/Maps/IRYP_V1/IRYP_v1_shapefiles.zip
media type: application/zip

Lidar-derived original point clouds, 2014 chunk02
type: Distribution
format: LASZ
issued: 2020-05-26T13:44:50.828616
modified: 2021-11-01T11:08:41.119770
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2014_chunk02.zip
media type: application/zip

Maps of ice wedge thermokarst pool expansion from twenty-seven circumpolar survey areas
type: Dataset
description: This repository includes data and code to accompany the manuscript 'Topography controls variability in circumpolar permafrost thaw pond expansion' by Abolt et al. The data include satellite imagery and derived maps of thermokarst pools from twenty-seven survey areas in North America and Siberia. The code, written in MATLAB (R2021a), contains demonstrations of the workflow for generating the maps. The demonstrations include training a generalized UNet for mapping thermokarst pools using data from three survey areas, 'fine tuning' the UNet for use at a specific survey area using transfer learning, applying a trained UNet to infer thermokarst pool extent within satellite imagery, and performing histogram matching as a pre-processing step to improve satellite imagery contrast. Contains MATLAB script files and M files, TIF files, shape files, XML, Excel, TXT, and CSV files. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic) was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM). ### __Citation__ __In order to use these data, you must cite this data …
issued: 2024-10-28T08:45:03.912557
modified: 2025-02-24T10:54:35.602530
spatial: Location
contact point: Organization
  fn: Abolt, Charles J
keyword: Land Surface
keyword: Visible Imagery
keyword: Soil
keyword: Canada
keyword: Arctic
keyword: Siberia
keyword: Thermokarst pool area
keyword: Cryosphere
keyword: Surface Water
keyword: Alaska
keyword: Ice
landing page: https://doi.org/10.5440/1834773

Preview example
type: Distribution
format: PNG
issued: 2024-03-25T15:03:38.963735
modified: 2024-03-25T15:11:25.192430
byte size: 115760
media type: image/jpeg

Pan-Arctic Visualization of Landscape Change (2003-2022), Arctic PASSION Permafrost Service
type: Dataset
description: This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI imagery (cloud-cover less than 80%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2003 and 2022. For each satellite image we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of the Brightness, Greenness and Wetness over two decades on the individual pixel level. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters in 30m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. 2014 and adapted and expanded by Nitze et al. 2016 and Nitze et al. 2018. Here we upscaled the processing to the circum-arctic permafrost region and the recent 20-year period from 2003 through 2022. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data has been processed in Google EarthEngine within the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the "Panarctic requirements-driven Permafrost Service" of the [Arctic PASSION project](https://arcticpassion.eu/). Changes in the Tasseled Cap indices Brightness, Greenness, and Wetness are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a la…
issued: 2024-03-25T14:56:58.821515
modified: 2024-05-31T07:07:51.755603
spatial: Location
version info: 1.0
contact point: Organization
  fn: Nitze, Ingmar
keyword: Lake Change
keyword: Multispectral index
keyword: Thermokarst
keyword: Arctic PASSION
keyword: Shore erosion
keyword: Lake Drainage
keyword: Satellite data
keyword: Land Cover Change
keyword: River bank erosion
keyword: Coastline change
keyword: Permafrost
keyword: Thaw slumping
keyword: Earth observation
landing page: https://doi.org/10.1594/PANGAEA.964814

2003 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2003-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331644
modified: 2024-09-05T07:06:17.573234
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2003-fv04.0.nc

can_emis_solid_waste_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:57:34.115398
modified: 2023-07-13T12:02:26.324937
access URL: https://dataverse.harvard.edu/api/access/datafile/5374081

Water Body Classification from ENVISAT ASAR Wide Swath, 2007-2011, Lena Delta / East Taymir / Cherskii, Laptev and East Siberian Sea Region (RU)
type: Dataset
description: The regional waterbody classification is derived from ENVISAT ASAR Wide Swath data with 150 m resolution. Maps represent the extent of water bodies for the summer months July and August for the years 2007 to 2011. Water body maps indicate the presence of water (1) and no water (0). In addition, the number of measurements used to derive the water bodies product are also provided. Water body maps are also available are for the Alaska North Slope and Alaska Highway, the Mackenzie River Valley and Delta, and the Ob Estuary. More information about image processing and classification can be found in the product guide. **This dataset is part of the [ESA Data User Element (DUE) Permafrost Full Product Set](https://doi.pangaea.de/10.1594/PANGAEA.780111).**
issued: 2018-04-19T14:24:26.556023
modified: 2024-03-25T10:44:31.388756
spatial: Location
version info: 2.0
contact point: Organization
  fn: Annett Bartsch
keyword: ENVISAT ASAR Wide Swath
keyword: Water Bodies
keyword: Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.779754

Methane and nitrous oxide sea-air fluxes calculated from samples collected in the North American Arctic Ocean (2015–2018)
type: Dataset
description: This dataset contains methane and nitrous oxide dissolved gas concentration, dissolved methane carbon isotope, and ancillary hydrographic data from research cruises in the North American Arctic Ocean between 2015-2018. Ocean samples for methane and nitrous oxide analysis were collected from Niskin bottles mounted on a CTD rosette. Water was collected into glass serum bottles and allowed to overflow three times before preserving with mercuric chloride and sealing with with butyl rubber stoppers and aluminum crimp seals. Gas concentrations were determined using a purge and trap system coupled to a gas chromatograph/mass spectrometer, following the method of Capelle et al. (2015). Equilibrium dry atmospheric concentrations were 328.25, 329.14, 330.11, and 330.96 ppb for N2O and 1919.64, 1933.67, 1934.92, and 1933.50 ppb for CH4 in 2015, 2016, 2017, and 2018, respectively. Equilibrium dissolved concentrations were calculated from the measured temperature and salinity following Wiesenburg and Guinasso (1979) for CH4 and Weiss and Price (1980) for N2O. Equilibrium concentrations were calculated based on sample temperature and salinity and the atmospheric N2O or CH4 concentrations measured at Barrow, Alaska by the NOAA Earth System Research Laboratory Global Monitoring Division (Dlugokencky et al., 2020a,b), with corrections to local sea level pressure and 100% humidity. Oxygen concentration was determined using an oxygen sensor mounted on the Niskin rosette, calibrated with discrete samples analyzed by Winkler titration. The mixed layer depth was defined based on a potential density difference criterion of 0.125 kg/m³ relative to the density at 5 m depth, using CTD profiles binned to 1 m. The mixed layer depth was set to 5 m as a minimum. The instantaneous gas transfer velocities and fluxes are based on the instantaneous wind speed at the time of sampling. The 30-day weighted gas transfer velocities and fluxes are integrated over the residence time of the gas in the mixed…
identifier: DOI: 10.1594/PANGAEA.941199
issued: 2023-04-11T09:07:27.855349
modified: 2024-04-09T12:49:13.851006
spatial: Location
version info: 1.0
contact point: Organization
  fn: Manning, Cara C M
keyword: Ocean
keyword: Methane
keyword: Arctic
keyword: Nitrous Oxide
keyword: River
landing page: https://doi.org/10.1594/PANGAEA.941199

Preview
type: Distribution
description: Figure 2: Geospatial datasets representing the heterogeneity in both landform and NDVI across the ACP of northern Alaska. From: Lara, M., Nitze, I., Grosse, G. et al. Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska. Sci Data 5, 180058 (2018). https://doi.org/10.1038/sdata.2018.58 The tundra geomorphology map (a) was validated with 1000 reference sites (700 and 300 in the Arctic Peaty Lowlands and Arctic Sandy Lowlands, respectively) using 249 SPOT-5 ortho-tiles (b), while the NDVI trend map (c) was developed using between 40 to 110 image observations per 30 m pixel (d).
format: JPEG
issued: 2020-04-29T08:23:16.664156
modified: 2025-01-15T09:06:05.673546
media type: image/jpeg

PB_Gas_Flux_Summary_2012.xlsx
type: Distribution
format: XLSX
issued: 2023-03-16T11:36:21.490483
modified: 2023-03-16T11:36:21.459156
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A4fc15a03-c664-4078-a64c-2ebb1fc38e36

Raw convolutional neural network output
type: Distribution
format: Geotiff
issued: 2020-05-26T13:47:26.148546
modified: 2021-11-01T11:08:41.120149
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/edges_allSites.zip
media type: application/zip

ESS-DIVE
type: Agent

2002 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2002-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331643
modified: 2024-09-05T07:06:07.668922
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2002-fv04.0.nc

https://apgc.awi.de/dataset/d4127a45-4c00-403c-8a54-db69b6d50713
type: Dataset
description: Material for the determination of suspended particulate matter (SPM), total particulate carbon (TPC) and total particulate nitrogen (TPN) was obtained by filtering 300-700 mL water samples on pre-weighed, precombusted (450°C for >5 hours) 47mm Whatmann GF/F (0.7 µm) filters. The filters were dried overnight at 60°C and vacuum-sealed for storage in petri dishes kept at room temperature until analysis. SPM was calculated as the difference in dry weight between individually-marked filters before and after filtration (Doxaran et al., 2012; doi:10.5194/bg-9-3213-2012). Concentrations of TPC and TPN were determined using a Carbon Hydrogen Nitrogen (CHN) analyzer (Perkin Elmer) following methods described in Doxaran et al. (2012; doi:10.5194/bg-9-3213-2012).
issued: 2023-06-02T07:17:16.302153
modified: 2023-06-02T08:08:49.062708
spatial: Location
title: Suspended particulate matter (SPM), Total particulate carbon (TPC) and Total particulate nitrogen (TPN) concentrations in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
version info: 1.0
contact point: Organization
  fn: Lizotte, Martine
keyword: Coastal waters
keyword: Biogeochemistry
keyword: Mackenzie
keyword: Hydrographic data
keyword: Biooptics
landing page: https://doi.org/10.1594/PANGAEA.937572

Permafrost Probability Fraction (PERPROB) [Fraction, 0-1]
type: Distribution
format: Geotiff
issued: 2019-09-05T10:24:01.898349
modified: 2021-11-01T11:09:09.253946
access URL: https://store.pangaea.de/Publications/ObuJ-etal_2019b/UiO_PEX_PERPROB_5.0_20181128_2000_2016_NZ.zip
media type: application/zip

2009 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2009-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637718
modified: 2024-05-29T13:46:13.692057
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2009-fv04.0.nc

ABoVE_2017_insitu_10sec.nc
type: Distribution
description: 2017 Campaign Flights | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-07-05T12:17:12.242355
modified: 2023-07-05T12:17:12.427843
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Bykovsky_2017_Ice.tab
type: Distribution
format: TXT
issued: 2023-03-16T10:28:15.632984
modified: 2023-03-16T10:28:15.872346
access URL: https://doi.pangaea.de/10.1594/PANGAEA.913642

2013 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2013-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331658
modified: 2024-09-05T07:08:15.342102
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2013-fv04.0.nc

DARTS_NitzeEtAl_v1_coverage_2018_2023_union.parquet
type: Distribution
description: Maximum coverage of the dataset with at least one coverage between 2018-2023
format: PARQUET
issued: 2024-10-24T11:01:10.574851
modified: 2024-10-24T11:03:06.361278
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A4b29d58e-6023-4115-ba36-f7d4a30d7d3c

2010 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2010-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253876
modified: 2024-05-29T14:35:18.226286
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2010-fv04.0.nc

Quaternary deposits map of Yana-Indigirka and Kolyma lowlands tundra zone, R-55-57, based on Landsat imagery
type: Dataset
description: The Quaternary geology map was created for the Yana-Indigirka (eastern part) and Kolyma lowlands, tundra and partly forest-tundra zones. The map corresponds to the nomenclature sheet of Government Geological Map R-(55)-57, northern part. The primary goal for creating the map is to enhance current knowledge of Quaternary deposits distribution in Yedoma regions in North-Eastern Siberia due to the lack of the geological maps of large scale for this region. For most area of the region maps of 1:200.000 scale are still not created and only geological maps of 1:1.000.000 scale exist. The Database of Quaternary Deposits from Maps of 1:1.000.000 scale, East and Central Siberia, is available via https://apgc.awi.de (Bryant et al., 2017, https://doi.org/10.5066/F7VT1Q89). The main Quaternary deposits on the Yana-Indigirka and Kolyma lowlands are late Pleistocene ice-rich Yedoma Ice Complex (LIII2-4), corresponded to yedoma uplands, and Holocene Alas Complexes (lbIV) formed in drained thermokarst lake basins (alases) due to the Yedoma IC thawing in the late Pleistocene-Holocene. High ice-rich Yedoma Ice Complex (IC) deposits are very vulnerable to observed climate warming, which lead to the landscape changes such as surface subsidence, thermokarst and thermoerosion processes activation, deepening of the active layer thickness, etc., as well as to remobilization of the buried freezelocked organic matter and contribution to greenhouse gases fluxes to the atmosphere. The map was created using Landsat images that allow the area of the yedoma uplands and alases to be clearly identified. The mapping of Quaternary deposits was done using Landsat TM 5 and 7 ETM+ satellite images acquired from August and July for the 2001-2010 period. Detecting of Quaternary deposits corresponded to landforms were conducted manually using spectral characteristics of satellite images, landform morphology, absolute heights and existing Quaternary Geology map of 1:1.000.000 scale. The working scale of the…
issued: 2021-02-04T10:12:32.551353
modified: 2024-04-09T13:06:53.403089
spatial: Location
version info: 1.0
contact point: Organization
  fn: Veremeeva, Alexandra
keyword: Permafrost
keyword: Late Pleictocene
keyword: Landsat
keyword: Quaternary Geology Map
keyword: Holocene
keyword: Thermokarst
keyword: Yedoma
keyword: Ice-Rich Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.927292

ABoVE: Methane Ebullition Hotspots in Frozen Lakes near Fairbanks, Alaska, Oct 2014
type: Dataset
description: This dataset includes maps of the locations and number of methane ebullition hotspots in 15 frozen lakes in the southern portion of the Goldstream Valley and the surrounding landscape just north of Fairbanks, Alaska, USA. Hotspots were identified from early winter high resolution aerial photographs acquired three days after lake-ice formation in October 2014. Hotspot ebullition seeps are defined as point-sources of high ebullition that release methane from lake sediments year-round. High rates of bubbling impede ice formation. In early winter, bubbling leads to dark, round open holes in lake ice which were visible in the aerial photos. This project investigated the role of theromkarst lakes in thawing of permafrost and mobilization of organic carbon in frozen soils. There are 15 data files included in this dataset as compressed shapefiles (*.shp). ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Anthony, K.W., P. Hanke, and P. Lindgren. 2021. ABoVE: Methane Ebullition Hotspots in Frozen Lakes near Fairbanks, Alaska, Oct 2014. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1861 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/1861
issued: 2023-07-13T12:50:20.906058
modified: 2024-04-09T12:34:43.137229
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Permafrost
keyword: Arctic Lake
keyword: Lake Ice
keyword: Methane
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

2003-2014 SCIAMACHY+GOSAT L3 V100 XCH4 NetCDF file
type: Distribution
format: NetCDF
issued: 2022-10-20T15:02:21.380229
modified: 2022-10-21T07:38:33.886268
access URL: https://dap.ceda.ac.uk/neodc/esacci/ghg/data/obs4mips/crdp_3/CH4/v100/xch4_ghgcci_l3_v100_200301_201412.nc

2019 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2019-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331666
modified: 2024-09-05T07:09:54.520077
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2019-fv04.0.nc

README.txt
type: Distribution
format: TXT
issued: 2024-10-28T08:46:20.252670
modified: 2024-10-28T08:46:39.034704
access URL: https://data.ess-dive.lbl.gov/catalog/d1/mn/v2/object/ess-dive-022a9882a8cec1d-20240716T181517614

Preview
type: Distribution
format: PNG
issued: 2018-08-07T11:51:24.146421
modified: 2021-11-01T11:08:03.350044

UnpackData.m
type: Distribution
format: MATLAB
issued: 2024-10-28T08:48:01.212757
modified: 2024-10-28T08:48:58.320020
access URL: https://data.ess-dive.lbl.gov/catalog/d1/mn/v2/object/ess-dive-3bdf267bf676098-20240522T221106868

ACPR settlements SBN
type: Distribution
format: SBN
issued: 2021-02-02T12:15:55.380588
modified: 2021-11-01T11:09:10.750261
access URL: https://zenodo.org/record/4529610/files/ACPR_sett.sbn

WP4 Mackenzie 2019 bacteria cells
type: Distribution
format: TXT
issued: 2023-06-05T07:14:00.462433
modified: 2023-06-05T07:17:27.830292
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937576

Preview
type: Distribution
description: Taken from: Estop-Aragonés C, Cooper MDA, Fisher JP, Thierry A, Garnett MH, Charman DJ, Murton JB, Phoenix GK, Treharne R, Sanderson NK, Burn CR, Kokelj S V, Wolfe SA, Lewkowicz AG, Williams M, Hartley IP. (2018). Limited release of previously-frozen C and increased new peat formation after thaw in permafrost peatlands. Soil Biology and Biochemistry, 118, 115-129. https://doi.org/10.1016/j.soilbio.2017.12.010
format: JPEG
issued: 2023-03-30T08:47:50.671823
modified: 2023-03-30T08:47:50.665501
byte size: 107079
media type: image/jpeg

WP4 Mackenzie 2019 nutrients concentrations CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 nutrients concentrations __Citation:__ Lizotte, Martine; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Matsuoka, Atsushi; Ferland, Joannie; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Deslongchamps, Gabrièle; Tremblay, Jean-Éric; Babin, Marcel (2021): Nutrient (NO3, NO2, PO4, SiO4) concentrations in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937578, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-01T07:06:03.008029
modified: 2023-06-01T07:09:20.132870
access URL: https://apgc.awi.de/dataset/6357fcd9-c1c1-44f1-8398-a0f5cf03aa34/resource/17880eb4-2f17-4e82-b041-ea8b09c3fdb2/download/nunawp4mackenzie19_nutrients_conc.csv
byte size: 14965
media type: text/csv

ACPR settlements permafrost zipped Shapefile
type: Distribution
format: SHP
issued: 2021-02-10T08:18:22.495165
modified: 2021-11-01T11:09:14.466508
access URL: https://apgc.awi.de/dataset/7a484a41-2091-4eb4-a230-c51a9fc08d6c/resource/9b4c087f-b1e7-4723-b0a8-e07a2fd8ecb5/download/acpr_settlements_permafrost_zipped_shapefile.zip
byte size: 61958
media type: application/zip

2012 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2012-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637722
modified: 2024-05-29T13:46:58.771621
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2012-fv04.0.nc

Technical documentation Permafrost CCI project
type: Distribution
format: HTML
issued: 2024-05-29T14:38:03.331632
modified: 2024-09-05T05:45:47.041001
access URL: https://climate.esa.int/en/projects/permafrost/#_key-documents-tab

Lidar-derived original point clouds, 2012 chunk08
type: Distribution
format: LASZ
issued: 2020-05-26T13:42:50.582376
modified: 2021-11-01T11:08:41.119525
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2012_chunk08.zip
media type: application/zip

https://apgc.awi.de/dataset/8582a79d-d3af-49b4-a8b7-194700803ed3/resource/a5ab3dc5-3c2b-45e2-88f9-94cf806c74f4
type: Distribution
description: Zipped folder containing methane flux data
format: ZIP
issued: 2023-03-30T07:57:01.070991
modified: 2023-03-30T07:57:01.304975
access URL: https://data-package.ceh.ac.uk/data/1d4d70ad-dc38-4e5f-bc39-066babca2fb2.zip
media type: application/zip

KoPF Vegetation Mass 2018
type: Distribution
format: TXT
issued: 2023-06-22T09:07:37.406229
modified: 2023-06-22T09:23:42.655982
access URL: https://doi.pangaea.de/10.1594/PANGAEA.956067

Product Guide
type: Distribution
format: PDF
issued: 2018-04-23T09:50:01.037334
modified: 2021-11-01T11:08:05.926368
access URL: http://epic.awi.de/30241/7/ESA_DUE_Permafrost_SAR_Water_version2_product_guide_1.0.pdf

DARTS_NitzeEtAl_v1_coverage_2018_2023_union.gpkg
type: Distribution
description: Maximum coverage of the dataset with at least one coverage between 2018-2023
format: GPKG
issued: 2024-10-24T11:01:10.574835
modified: 2024-10-24T11:03:06.361026
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A5581f58d-6566-419d-b3b8-b4262868fe5a

WP4 Mackenzie 2019 temperature & salinity surface water CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 temperature & salinity surface water __Citation:__ Bécu, Guislain; Juhls, Bennet; Oziel, Laurent; Leymarie, Edouard; Matsuoka, Atsushi; Lizotte, Martine; Ferland, Joannie; Babin, Marcel (2021): Temperature and salinity in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937571, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-07T09:37:02.850076
modified: 2023-06-07T09:41:05.140146
access URL: https://apgc.awi.de/dataset/76d152af-201a-41f9-9440-81bcff3081c2/resource/dc37320e-68f7-499e-93c7-3d7ce7495e53/download/nunawp4mackenzie19_temp_sal_surf_water.csv
byte size: 16031
media type: text/csv

2008 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2008-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331651
modified: 2024-09-05T07:07:15.436803
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2008-fv04.0.nc

Preview
type: Distribution
format: PNG
issued: 2019-01-31T08:49:41.291102
modified: 2021-11-01T11:07:42.182316
byte size: 149348
media type: image/png

Preview
type: Distribution
format: PNG
issued: 2023-07-11T06:50:43.968453
modified: 2023-07-11T07:06:37.255110

Preview
type: Distribution
description: Taken from: Cooper, M., Estop-Aragonés, C., Fisher, J. et al. Limited contribution of permafrost carbon to methane release from thawing peatlands. Nature Clim Change 7, 507–511 (2017). https://doi.org/10.1038/nclimate3328
format: JPEG
issued: 2023-03-30T08:07:07.593134
modified: 2023-03-30T08:07:07.580684
byte size: 94523
media type: image/jpeg

Lake_CH4_Ice_out_Emiss.nc
type: Distribution
description: Must sign in to download
format: NetCDF
issued: 2023-02-01T13:02:16.520733
modified: 2023-02-01T13:02:16.475582
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Field Data on Soils, Vegetation, and Fire History for Alaska Tundra Sites, 1972-2020
type: Dataset
description: This dataset, titled the Synthesized Alaskan Tundra Field Database (SATFiD), provides a comprehensive collection of in-situ field data compiled from 37 existing datasets resulting from field surveys conducted at Alaska tundra sites between 1972 to 2020. The data were harmonized prior to being included in this dataset. The variables include active layer thickness, vegetation cover (by plant functional types), soil moisture and temperatures, as well as the wildfire history. SATFiD provides a unique lens into various long-term ecological processes within the tundra (such as the fire-permafrost-vegetation interactions) under a rapidly changing climate. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Chen, D., X. Zhu, M. Kogure, E.E. Hoy, X. Xu, N.H.F. French, L.T. Berner, A.L. Breen, S. Bret-Harte, S.J. Davidson, J.J. Ebersole, G.V. Frost, S.J. Goetz, R.E. Hewitt, J.K.Y. Hung, C.M. Iversen, G. Iwahana, R. Jandt, L.K. Jenkins, A.N. Kade, I. Klupar, T.V. Loboda, S. Ludwig, M.J. Macander, M.C. Mack, C.R. Meyers, R.J. Michaelides, E.A. Miller, S. Natali, T.W. Nawrocki, P.R. Nelson, A.D. Parsekian, E. Rastetter, M.K. Raynolds, A.V. Rocha, K. Schaefer, U. Schickhoff, E.A.G. Schuur, S. Tsuyuzaki, C.E. Tweedie, S.V. Zesati, D.A. Walker, P.J. Webber, M. Williams, and D. Zona. 2023. Field Data on Soils, Vegetation, and Fire History for Alaska Tundra Sites, 1972-2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2177
issued: 2024-09-20T11:56:44.401678
modified: 2024-10-25T09:51:53.192949
spatial: Location
version info: 1
contact point: Organization
  fn: ORNL DAAC
keyword: Soil Temperature
keyword: Soil Moisture
keyword: Tundra
keyword: Active Layer
keyword: Vegetation Cover
keyword: Fire Ecology
landing page: https://doi.org/10.3334/ORNLDAAC/2177

Population in the Arctic Circumpolar Permafrost Region at settlement level, 2017
type: Dataset
description: We defined permafrost settlements as settlements located within the permafrost extent, as modelled by Obu et al. (2019). The permafrost extent is based on the modeled temperature at the top of the permafrost(TTOP model) for the period 2000-–2016. The permafrost extent is available at the circum-Arctic scale, with a resolution of 1 km2.The permafrost zones are defined as follows: continuous (90-–100% area coverage), discontinuous (50–-90% area coverage), and sporadic (0-–50% area coverage). To estimate the future of permafrost settlements, we used projected permafrost extents modeled by Hjort et al. (2018) using Representative Concentration Pathways (RCPs) 2.6, 4.5, and 8.5 for the period 2041–2060. The model is binary and uses 30 arc-second grid cells (1 km2) to determine if permafrost is present or absent. We used the consensus index (Ic), that which classifies future permafrost extent into hazard zones (1, low; 2, medium; and 3, high hazard zones). When defining hazard zones, the consensus index considers the relative increase of the active layer thickness, ground ice content, ground temperature, permafrost thaw potential, surface properties (sediment/bedrock), fine-grained sediment content, frost susceptibility of ground material, and slope gradient. Some estimates made with linear interpolation technique for 509 settlements using 2002 census data. (Data of settlements over 500 inhabitants inside AHDR's definition on Arctic -77 estimates for 2002) Detailed information about the methods can be found in the [publication to which this dataset is a supplement](https://doi.org/10.1007/s11111-020-00370-6). ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Wang, Shinan, & Ramage, Justine. (2021). Population in the Arctic Circumpolar Permafrost Region at settlement level (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4529610
issued: 2021-02-02T12:11:23.739450
modified: 2024-04-09T13:14:41.495603
spatial: Location
version info: 2.0
contact point: Organization
  fn: Wang, Shinan
keyword: Permafrost
keyword: Arctic Infrastructure
keyword: Arctic Settlements
keyword: Permafrost thaw
keyword: Risk
keyword: Arctic Population
landing page: https://doi.org/10.5281/zenodo.4529610

Preview
type: Distribution
description: Taken From: Philben, M., Taş, N., Chen, H., Wullschleger, S. D., Kholodov, A., Graham, D. E., & Gu, B. (2020). Influences of hillslope biogeochemistry on anaerobic soil organic matter decomposition in a tundra watershed. Journal of Geophysical Research: Biogeosciences, 125, e2019JG005512. https://doi.org/10.1029/2019JG005512
format: JPEG
issued: 2023-03-29T11:55:28.880030
modified: 2023-03-29T11:55:28.863468
byte size: 110336
media type: image/jpeg

Preview
type: Distribution
format: PNG
issued: 2023-06-05T11:13:34.059952
modified: 2023-06-08T07:10:33.682886
byte size: 643128
media type: image/png

Preview
type: Distribution
format: PNG
issued: 2018-05-15T10:35:03.369422
modified: 2021-11-01T11:08:05.194975

LAEA, netCDF, NCSCDv2
type: Distribution
format: NetCDF
issued: 2018-11-05T14:00:04.786702
modified: 2021-11-01T11:08:59.647967
access URL: https://bolin.su.se/data/ncscd/data/v3/raster/LAEA/NCSCDv2_raster_LAEA_Alaska.zip

WP4 Mackenzie 2019 SPM TPC TPN
type: Distribution
format: TXT
issued: 2023-06-02T07:17:16.318985
modified: 2023-06-02T07:29:43.311272
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937572

ACPR settlements Permafrost PRJ
type: Distribution
format: PRJ
issued: 2021-02-10T08:12:16.616717
modified: 2021-11-01T11:09:14.466087
access URL: https://zenodo.org/record/4519217/files/ACPR_sett_pf.prj

ACPR settlements Permafrost DBF
type: Distribution
format: dBase
issued: 2021-02-10T08:11:43.151411
modified: 2021-11-01T11:09:14.466002
access URL: https://zenodo.org/record/4519217/files/ACPR_sett_pf.dbf

Preview
type: Distribution
description: Taken from: Estop-Aragonés C, Cooper MDA, Fisher JP, Thierry A, Garnett MH, Charman DJ, Murton JB, Phoenix GK, Treharne R, Sanderson NK, Burn CR, Kokelj S V, Wolfe SA, Lewkowicz AG, Williams M, Hartley IP. (2018). Limited release of previously-frozen C and increased new peat formation after thaw in permafrost peatlands. Soil Biology and Biochemistry, 118, 115-129. https://doi.org/10.1016/j.soilbio.2017.12.010
format: JPEG
issued: 2023-03-29T15:12:47.426693
modified: 2023-03-29T15:12:47.418231
byte size: 298658
media type: image/jpeg

Metadata: DARTS_Multi_year_database_of_AI_detected_retrogre.xml
type: Distribution
format: XML
issued: 2024-10-24T11:01:10.574801
modified: 2024-10-24T11:03:06.360518
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/doi%3A10.18739%2FA2RR1PP44

2006 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2006-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331648
modified: 2024-09-05T07:06:51.509470
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2006-fv04.0.nc

Study Site GeoJSON
type: Distribution
format: GeoJSON
issued: 2022-03-30T09:29:39.763029
modified: 2022-03-30T09:31:34.941040
access URL: https://github.com/initze/DL_RTS_Paper/raw/main/data/study_sites.geojson
media type: application/json

DARTS_NitzeEtAl_v1_features_2018_2023_layerstyle.sld
type: Distribution
format: SLD
issued: 2024-10-24T11:01:10.574881
modified: 2024-10-24T11:03:06.361872
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Aac84c609-54f9-45b3-a920-5117288e9758

Bacteria cells in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Samples for bacterial abundance (1.5 mL) were preserved with glutaraldehyde (1% final concentration) and stored at -80°C. Samples were stained with SYBRTM Green I (Thermofisher Scientific) and analyzed on a flow cytometer (FACSCanto, BD Biosciences) as previously described (Gasol & Del Giorgio, 2000; doi:10.3989/scimar.2000.64n2197).
issued: 2023-06-05T07:14:00.458699
modified: 2023-06-05T08:01:05.992933
spatial: Location
version info: 1.0
contact point: Organization
  fn: Lizotte, Martine
keyword: Mackenzie
keyword: Biooptics
keyword: Coastal waters
keyword: Biogeochemistry
keyword: Hydrographic data
landing page: https://doi.org/10.1594/PANGAEA.937576

1997 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1997-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637701
modified: 2024-05-29T13:41:48.656620
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1997-fv04.0.nc

Oceania.zip
type: Distribution
description: Zipped shapefile of peatland distribution - Oceania
format: ZIP
issued: 2023-03-07T15:50:47.925766
modified: 2023-03-07T15:51:21.317813
access URL: https://archive.researchdata.leeds.ac.uk/251/12/Oceania.zip
media type: application/zip

Polygon boundaries
type: Distribution
format: SHP
issued: 2020-05-26T13:03:12.219071
modified: 2021-11-01T11:08:41.118318
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/polygonBoundaries_allSites.zip
media type: application/zip

WP4 Mackenzie 2019 FDOM surface water
type: Distribution
format: TXT
issued: 2023-06-09T08:47:20.332105
modified: 2023-06-09T09:20:04.695057
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937582

SACHI v2
type: Distribution
description: zipped shapefile (399.1 MB)
format: SHP
issued: 2024-04-08T14:06:12.989373
modified: 2024-04-08T14:24:50.812307
access URL: https://zenodo.org/records/10160636/files/SACHI_v2.zip

DARTS_NitzeEtAl_v1_features_2018_2023_level1.parquet
type: Distribution
description: Footprints of RTS and ALD features, processed on individual image scenes
format: PARQUET
issued: 2024-10-24T11:01:10.574819
modified: 2024-10-24T11:03:06.360761
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A074980cd-cb77-4499-8247-e26d0e1bf255

Water Body Classification from ENVISAT ASAR Wide Swath, 2007-2011, Mackenzie River Valley and Delta, Beaufort Sea Region (CA)
type: Dataset
description: The regional waterbody classification is derived from ENVISAT ASAR Wide Swath data with 150 m resolution. Maps represent the extent of water bodies for the summer months July and August for the years 2007 to 2011. Water body maps indicate the presence of water (1) and no water (0). In addition, the number of measurements used to derive the water bodies product are also provided. Water body maps are also available are for the Alaska North Slope and Alaska Highway, the Laptev Sea Coast, and the Ob Estuary. More information about image processing and classification can be found in the product guide. **This dataset is part of the [ESA Data User Element (DUE) Permafrost Full Product Set](https://doi.pangaea.de/10.1594/PANGAEA.780111).**
issued: 2018-04-23T07:48:10.321846
modified: 2024-03-25T10:42:42.233698
spatial: Location
version info: 2.0
contact point: Organization
  fn: Annett Bartsch
keyword: Water Bodies
keyword: Permafrost
keyword: ENVISAT ASAR Wide Swath
landing page: https://doi.pangaea.de/10.1594/PANGAEA.779754

Surface Soil Moisture & Number of Measurements
type: Distribution
format: Geotiff
issued: 2018-08-07T15:54:37.253676
modified: 2021-11-01T11:08:04.762818
access URL: http://hs.pangaea.de/sat/due/regional_ASAR_SSM1km_ObEstuary_2005-2011_geotiff.zip

Preview
type: Distribution
description: __Figure 10__ Box plots of (a) chlorophyll a (Chl a) concentration (mg m−3) and (b) bacterial abundance (cells in mL−1) for the four WP4 Nunataryuk expeditions (Legs 1, 2, 3, and 4) in 2019. Boxes represent the interquartile range (IQR), the horizontal lines show the medians, while the vertical lines show data spread with min/max whiskers. Notice the y-axis log10 scale. Also note that a few data points below 100 K (Leg 2) were excluded from panel (b). __Citation:__ Lizotte, M. Juhls, B. et al. (2023). Nunataryuk field campaigns: Understanding the origin and fate of terrestrial organic matter in the coastal waters of the Mackenzie Delta region. Earth System Science data. Earth Syst. Sci. Data, 15, 1617–1653. https://doi.org/10.5194/essd-15-1617-2023
format: PNG
issued: 2023-06-08T15:25:37.380371
modified: 2023-06-08T15:26:23.408216
media type: image/png

Africa.zip
type: Distribution
description: Zipped shapefile of peatland distribution - Africa
format: ZIP
issued: 2023-03-07T15:47:34.657879
modified: 2023-03-07T15:48:05.329044
access URL: https://archive.researchdata.leeds.ac.uk/251/4/Africa.zip
media type: application/zip

XML Metadata
type: Distribution
description: Metadata for this dataset in ISO19139 format.
format: XML
issued: 2020-04-28T13:27:41.868847
modified: 2021-11-01T11:09:04.687627
access URL: https://athena.snap.uaf.edu/geonetwork/srv/en/iso19139.xml

Dataset user guide
type: Distribution
format: HTML
issued: 2023-03-07T11:24:16.987343
modified: 2023-03-07T11:24:28.514571
access URL: https://daac.ornl.gov/CMS/guides/CMS_Global_Monthly_Wetland_CH4.html
media type: text/html

Distribution and morphometry of pingos, western Canadian Arctic, Northwest Territories, (CA)
type: Dataset
description: GIS shape files including spatial and morphometric data of pingos in the western Canadian Arctic and accompanying Excel spreadsheet summarizing metrics for pingos of differing height categories. Within ArcGIS®, the pingo database of Wolfe et al. (2021) and HRDEM (Natural Resources Canada, 2020) were used to determine pingo metrics, including top and base elevations, planimetric (“footprint”) area, slope, surface area, ratio of the surface area to base area (i.e., surface ratio), and volume. Pingos were seperated into categories of <0.6 m high, for which no additional metrics were calculated, and pingos >0.6 to 2.0 m, and >2.0 m high. Metrics were determined with use of custom algorithm implemented as a Python script utilizing the ArcPy library and DEM Surface Tools extension (Jenness, 2010) for ArcGIS® DesktopTM 10.7.1. Detailed methodology may be found in the accompanying paper. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Wolfe, Stephen; Morse, Peter; Parker, Ryan; Phillips, Marcus (2023), “Distribution and morphometry of pingos, western Canadian Arctic, Northwest Territories, Canada: Datasets and Supplementary Materials”, Mendeley Data, V1, doi: 10.17632/kgbsjvrj32.1
identifier: DOI: 10.17632/kgbsjvrj32.1
issued: 2024-03-18T08:56:04.424939
modified: 2024-03-18T09:51:42.108350
spatial: Location
version info: 1
contact point: Organization
  fn: Wolfe, Stephen
keyword: Pingo
keyword: Frost Mounds
keyword: Periglacial landform
keyword: Permafrost
landing page: https://doi.org/10.17632/kgbsjvrj32.1

Surface Soil Moisture from ENVISAT ASAR GM, 2005-2010, Laptev Sea Coast, Laptev and East Siberian Sea Region (RU)
type: Dataset
description: The SAR Surface Soil Moisture (SSM) product is derived from the ENVISAT ASAR sensor operating in Global Monitoring (GM) mode. The SAR SSM product is a weekly mean composite at 1 km spatial resolution for the years 2005 to 2011. The SAR Surface Soil Moisture parameter represents a relative measure of the soil moisture in the top layer of the soil, scaled between references corresponding approximately to wilting level (0%) and field capacity (100%). In addition to the SSM maps, quality indicator maps provide information on the number of individual SSM retrievals that were averaged in order to achieve the corresponding weekly SSM composites. More information about the image processing and SSM retrieval can be found in the product guide. This dataset is part of the ESA Data User Element (DUE) Permafrost Full Product Set (doi:10.1594/PANGAEA.780111).
issued: 2018-08-07T09:51:07.265462
modified: 2024-03-25T10:45:29.181427
spatial: Location
version info: 2.0
contact point: Organization
  fn: Annett Bartsch
keyword: ENVISAT ASAR GM
keyword: Surface Soil Moisture
keyword: Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.779658

CH4flux_Active_layer-Galera_etal-2022.tab
type: Distribution
description: tab-delimited text (encoding: UTF-8: Unicode)
format: TXT
issued: 2023-03-06T13:54:52.968117
modified: 2023-03-08T08:06:31.339773
access URL: https://doi.pangaea.de/10.1594/PANGAEA.944841

2018 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2018-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331665
modified: 2024-09-05T07:09:38.884535
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2018-fv04.0.nc

2009 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2009-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331652
modified: 2024-09-05T07:07:26.024957
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2009-fv04.0.nc

Lidar-derived original point clouds, 2012 chunk05
type: Distribution
format: LASZ
issued: 2020-05-26T13:41:31.722077
modified: 2021-11-01T11:08:41.119152
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2012_chunk05.zip
media type: application/zip

2002 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2002-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253865
modified: 2024-05-29T14:35:18.225298
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2002-fv04.0.nc

2016 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2016-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637728
modified: 2024-05-29T13:48:11.233338
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2016-fv04.0.nc

Metadata: BAWLD_CH4_Methane_Fluxes_from_Boreal_and_Arctic.xml
type: Distribution
format: XML
issued: 2023-02-21T14:45:47.253087
modified: 2023-02-21T14:50:59.536833
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/doi%3A10.18739%2FA2DN3ZX1R

T-MOSAiC 2021 myThaw data set, Circum-Arctic
type: Dataset
description: The Terrestrial Multidisciplinary distributed Observatories for the Study of the Arctic Connections (T-MOSAiC) 2021 permafrost thaw data set provides standardized measurements for permafrost thaw and the linked parameters snow depth, vegetation height, water level and soil texture as suggested by Boike et al., 2021. It contains measurements from eight circumpolar permafrost sites where data was obtained using the myThaw app which is based on the user-friendly, multiparameter protocol for standardized monitoring of permafrost thaw for the year 2021. The data set contains detailed metadata for each site including data on the timing of data collection, geographical coordinates and land surface characteristics (vegetation, ground surface and water features).
issued: 2023-09-18T14:28:38.699815
modified: 2024-03-25T09:14:10.279216
spatial: Location
version info: 1.0
contact point: Organization
  fn: Martin, Julia
keyword: Permafrost Monitoring Protocol
keyword: Snow Depth
keyword: Vegetation Height
keyword: Active Layer Thaw Depth
keyword: Soil Characteristics
keyword: myThaw app
landing page: https://doi.pangaea.de/10.1594/PANGAEA.956039

Methane data from Barter Island 03.09.2017
type: Distribution
format: TXT
issued: 2022-09-20T09:24:43.907319
modified: 2022-09-20T09:33:50.312934
access URL: https://doi.pangaea.de/10.1594/PANGAEA.898632

R-55-57 Quaternary Geological Map geojson
type: Distribution
format: GeoJSON
issued: 2021-02-04T10:14:25.871678
modified: 2021-11-01T11:09:12.446330
access URL: https://download.pangaea.de/dataset/927292/files/R-55-57_QuaternaryGeologicalMap.geojson
media type: application/json

MAGT Standard Deviation (MAGTSTD) [C°]
type: Distribution
format: Geotiff
issued: 2019-09-05T10:22:56.090958
modified: 2021-11-01T11:09:09.253855
access URL: https://store.pangaea.de/Publications/ObuJ-etal_2019b/UiO_PEX_MAGTSTD_5.0_20181128_2000_2016_NZ.zip
media type: application/zip

PANGAEA
type: Agent

LAEA, geotiff, NCSCDv2
type: Distribution
format: Geotiff
issued: 2018-11-05T13:58:05.113207
modified: 2021-11-01T11:08:59.647778
access URL: https://bolin.su.se/data/ncscd/data/v3/raster/LAEA/NCSCDv2_raster_LAEA_Alaska.zip

Lake_Area.nc
type: Distribution
description: Must sign in to download
format: NetCDF
issued: 2023-02-01T13:02:16.520722
modified: 2023-02-01T13:02:16.475134
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

European Geosciences Union (EGU)
type: Agent

2016 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2016-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331662
modified: 2024-09-05T07:09:01.708880
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2016-fv04.0.nc

Toolik kml file
type: Distribution
description: Must sign in to ORNL DAAC to download
format: KML
issued: 2023-02-21T09:57:45.301685
modified: 2023-02-21T09:58:29.746941
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

2005 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2005-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253869
modified: 2024-05-29T14:35:18.225680
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2005-fv04.0.nc

Preview
type: Distribution
description: Taken from: Tanski, G., Wagner, D., Knoblauch, C., Fritz, M., Sachs, T., & Lantuit, H. (2019). Rapid CO2 release from eroding permafrost in seawater. Geophysical Research Letters, 46, 11244– 11252. https://doi.org/10.1029/2019GL084303
format: JPEG
issued: 2023-04-11T16:02:50.562239
modified: 2023-04-11T16:02:50.832794
byte size: 152186
media type: image/jpeg

Centre for Environmental Data Analysis (CEDA)
type: Agent

Supplemental information
type: Distribution
description: Supplementary Datasets S2
format: PDF
issued: 2023-05-17T13:25:39.942840
modified: 2023-05-17T14:22:23.090389
access URL: https://ars.els-cdn.com/content/image/1-s2.0-S0277379123001038-mmc3.pdf

N_incubation_Gas_production.csv
type: Distribution
format: CSV
issued: 2023-03-29T11:34:22.376374
modified: 2023-03-29T11:34:24.459378
checksum: Checksum
access URL: https://ngee.ornl.gov/ngeedata/NGA188_gas_chemistry_incubations_teller/data/N_incubation_Gas_production.csv
media type: text/csv

WP4 Mackenzie 2019 FDOM CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 FDOM __Citation:__ Matsuoka, Atsushi; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Lizotte, Martine; Ferland, Joannie; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Gonçalves-Araujo, Rafael; Stedmon, Colin A; Babin, Marcel (2021): Fluorescent dissolved organic matter (FDOM) intensity (Parafac components and FDOM indices) in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937582, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-09T09:20:04.716685
modified: 2023-06-09T09:20:04.695391
access URL: https://apgc.awi.de/dataset/cfd31d7a-cbb2-46e5-abd9-ad12215d6ced/resource/d810e255-0287-4928-b34d-42b8d9893da1/download/nunawp4mackenzie19_fdom.csv
byte size: 26928
media type: text/csv

2000 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2000-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253862
modified: 2024-05-29T14:35:18.225070
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2000-fv04.0.nc

CO2 and CH4 Production in Soil Incubations from Low and High Centered Polygons, Barrow, Alaska, 2012-2013
type: Dataset
description: The dataset consists of respiration and methane production rates obtained from soil microcosm studies carried out under controlled temperature and incubation conditions. Soils represent the low- and high-centered polygon active layers and permafrost (when present) from the NGEE-Arctic Intensive Study Site 1. The data file contains the results of the incubation study for six cores: NGADG0017, NGADG0073, NGADG0005, NGADG0009, NGADG0048, NGADG0043. Core and soil characteristics are provided along with the incubation conditions, replicates, and CO2 and CH4 results. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Taniya RoyChowdhury, David Graham, Stan Wullschleger. 2016. CO2 and CH4 Production in Low-Temperature Soil Incubations from Low and High Centered Polygons, Barrow, Alaska, 2012-2013. Next Generation Ecosystem Experiments Arctic Data Collection, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, USA. Dataset accessed on [INSERT_DATE] at https://doi.org/10.5440/1237703.
identifier: DOI: 10.5440/1237703
issued: 2023-03-29T14:02:46.423321
modified: 2023-03-29T14:22:31.768471
spatial: Location
version info: 1.0
contact point: Organization
  fn: NGEE Arctic Data Center
landing page: https://data.ngee-arctic.ornl.gov/data/pages/NGA008.html

N2O_CH4_river.tab
type: Distribution
format: TXT
issued: 2023-04-11T07:43:29.110271
modified: 2023-04-11T07:43:29.361851
access URL: https://doi.pangaea.de/10.1594/PANGAEA.941200

Preview
type: Distribution
description: Figure 1. from Spangenberg, I., Overduin, P. P., Damm, E., Bussmann, I., Meyer, H., Liebner, S., Angelopoulos, M., Biskaborn, B. K., Grigoriev, M. N., and Grosse, G.: Methane pathways in winter ice of a thermokarst lake–lagoon–coastal water transect in north Siberia, The Cryosphere, 15, 1607–1625, https://doi.org/10.5194/tc-15-1607-2021, 2021.
format: JPEG
issued: 2023-03-16T11:19:12.713260
modified: 2023-03-16T11:19:12.689353
byte size: 128358
media type: image/jpeg

WP4 Mackenzie 2019 particle absorption surface water CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 particle absorption surface water __Citation:__ Matsuoka, Atsushi; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Lizotte, Martine; Ferland, Joannie; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Babin, Marcel (2021): Particle absorption (aP) in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937581, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-08T07:38:23.269834
modified: 2023-06-08T08:12:52.089167
access URL: https://apgc.awi.de/dataset/4acfe396-2ca3-4f99-8f0f-c1f165ee9b2e/resource/726c4a84-d6b7-462f-b118-d51045c15652/download/nunawp4mackenzie19_ap_surf_water.csv
byte size: 45627
media type: text/csv

14C_Dataset_Final_Submitted.xlsx
type: Distribution
format: XLSX
issued: 2023-02-28T10:30:52.520950
modified: 2023-02-28T10:53:45.807948
access URL: https://zenodo.org/record/3832031/files/14C_Dataset_Final_Submitted.xlsx

Preview
type: Distribution
format: PNG
issued: 2023-06-22T09:24:03.782887
modified: 2023-06-22T09:24:03.771379
byte size: 920009
media type: image/png

value color map file
type: Distribution
description: A .clr file is a space-delimited text file that defines the pixel value and the red, green, and blue color values.
format: CLR
issued: 2020-04-29T12:04:19.074937
modified: 2021-11-01T11:09:10.376515
access URL: http://data.snap.uaf.edu/data/IEM/other/polygonal_tundra/ACP_1116.clr

ABoVE: Atmospheric Gas Concentrations from Airborne Flasks, Arctic-CAP, 2017
type: Dataset
description: This dataset provides atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), molecular hydrogen (H2), nitrous oxide (N2O), sulfur hexafluoride (SF6), and other trace gas mole fractions (i.e. "concentrations") from flights over Alaska and the Yukon and Northwest Territories of Canada during the Arctic Carbon Aircraft Profile (Arctic-CAP) monthly sampling campaigns from April-November 2017. The data were derived from laboratory measurements of whole air samples collected by Programmable Flask Packages (PFP) onboard the aircraft. During each of the six monthly campaigns, flights over the Arctic-Boreal Vulnerability Experiment (ABoVE) domain included 25 vertical profiles, from the surface up to 6 km altitude, at locations selected to complement regular long-term vertical profiles, remote sensing data, and ground-based flux tower measurements. Measurements were initiated by the aircraft pilot at predetermined locations within each profile in order to evenly distribute flask sampling points throughout each flight. A total of 408 flask samples were collected during 55 individual flights. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost. Whole air samples collected in the PFPs were analyzed on automated systems at the NOAA Earth System Research Laboratory (ESRL) Global Monitoring Division and the Stable Isotope Laboratory of the Institute of Arctic and Alpine Research (INSTAAR) at the University of Colorado Boulder, which also analyze samples from the NOAA/ESRL Global Greenhouse Gas Reference Network. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Sweeney, C., K. McKain, B.R. Miller, and S.E. Michel. 2019. ABoVE: Atmospheric Gas Concentrations from Airborne Flasks, Arctic-CAP, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1717 This dataset is openly s…
identifier: DOI: 10.3334/ORNLDAAC/1717
issued: 2023-07-05T10:10:00.600040
modified: 2024-04-09T12:48:05.892136
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Atmospheric trace gases
keyword: Methane
keyword: Nitrous Oxide
keyword: Carbon Dioxide
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

2019 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2019-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637732
modified: 2024-05-29T13:49:00.726055
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2019-fv04.0.nc

2018 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2018-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637731
modified: 2024-05-29T13:48:42.056075
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2018-fv04.0.nc

Download all
type: Distribution
description: requirement to sign up for a PANGAEA user account before downloading the ZIP
format: ZIP
issued: 2024-03-25T14:56:58.824846
modified: 2024-03-27T13:18:10.776039
access URL: https://download.pangaea.de/dataset/964814/allfiles.zip
media type: application/zip

User Guide
type: Distribution
format: PDF
issued: 2023-03-29T11:36:47.934508
modified: 2023-03-29T11:37:01.510582
access URL: https://ngee.ornl.gov/ngeedata/NGA188_gas_chemistry_incubations_teller/documentation/NGA188_nitrogen_incubations_teller_user_guide_20200529.pdf
media type: application/pdf

WP4 Mackenzie 2019 aCDOM slope surface water CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 aCDOM slope surface water __Citation:__ Matsuoka, Atsushi; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Lizotte, Martine; Ferland, Joannie; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Babin, Marcel (2021): Colored dissolved organic matter absorption (aCDOM) and spectal slopes (S) in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937580, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-08T08:12:11.535326
modified: 2023-06-08T08:12:11.513015
access URL: https://apgc.awi.de/dataset/32e8eb5c-75b5-425b-9030-a06729c2d13d/resource/d5bfe62a-387e-44e1-85d5-d7c7a543cfa9/download/nunawp4mackenzie19_acdom_s.csv
byte size: 19312
media type: text/csv

Preview
type: Distribution
description: Taken from: Knoblauch, C et al. (2015): Regulation of methane production, oxidation, and emission by vascular plants and bryophytes in ponds of the northeast Siberian polygonal tundra. Journal of Geophysical Research: Biogeosciences, 120(12), 2525-2541, https://doi.org/10.1002/2015JG003053
format: JPEG
issued: 2023-03-28T12:42:35.712045
modified: 2023-03-28T12:42:35.696411
byte size: 55753
media type: image/jpeg

can_emis_livestock_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:54:39.463818
modified: 2023-07-13T11:59:39.388700
access URL: https://dataverse.harvard.edu/api/access/datafile/5374076

DARTS_NitzeEtAl_v1_coverage_2018_2023_level2.parquet
type: Distribution
description: Annual coverage of input images for 2018-2023
format: PARQUET
issued: 2024-10-24T11:01:10.574845
modified: 2024-10-24T11:03:06.361194
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A0d4c3b37-be14-47d5-a6da-7e662e72bb9d

PEATMAP_data_sources.pdf
type: Distribution
format: PDF
issued: 2023-03-07T15:44:31.266442
modified: 2023-03-07T15:45:13.652224
access URL: https://archive.researchdata.leeds.ac.uk/251/2/PEATMAP_data_sources.pdf
media type: application/pdf

Methane fluxes, soil gas profiles and microbial activities in ponds at Samoylov, 2002 & 2013
type: Dataset
description: Methane (CH4) production, oxidation, and emission were studied in ponds of the permafrost-affected polygonal tundra in northeast Siberia. Summer CH4 fluxes were measured with closed chambers at the margins of ponds vegetated by vascular plants and in their centers without vascular plants. Furthermore, CH4 and oxygen concentration gradients, stable carbon isotope signatures of dissolved and emitted CH4, and microbial CH4 production and CH4 oxidation were determined. The data files give the basic field and laboratory data on five ponds in the northeast Siberian Arctic tundra on Samoylov. The files contain water and soil temperature data of the ponds, methane fluxes, measured with closed chambers in the centres without vascular plants and the margins with vascular plants, the contribution of plant mediated fluxes on total methane fluxes, the gas concentrations (methane and dissolved inorganic carbon, oxygen) in the soil and the water column of the ponds, microbial activities (methane production, methane oxidation, aerobic and anaerobic carbon dioxide production), total carbon pools in the different horizons of the bottom soils, soil bulk density, soil substance density, and soil porosity.
identifier: DOI: 10.1594/PANGAEA.853641
issued: 2023-03-28T12:34:48.580433
modified: 2024-04-09T12:42:13.627076
spatial: Location
version info: 1.0
contact point: Organization
  fn: Christian Knoblauch
keyword: Methane
keyword: Biogeochemistry
keyword: Permafrost
keyword: Arctic Tundra
landing page: https://doi.pangaea.de/10.1594/PANGAEA.853641

LICENSE
type: Distribution
format: TXT
issued: 2022-09-26T12:22:34.276647
modified: 2022-09-26T12:22:34.240874
access URL: https://renc.osn.xsede.org/ini210004tommorrell/10.14291/tccon.ggg2020.sodankyla01.R0/LICENSE.txt

2002 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2002-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637708
modified: 2024-05-29T13:44:14.477598
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2002-fv04.0.nc

Preview
type: Distribution
format: PNG
issued: 2018-04-23T10:32:29.247675
modified: 2021-11-01T11:08:06.644931

CARVE: Atmospheric gas concentrations user guide
type: Distribution
format: HTML
issued: 2023-02-23T09:11:15.886905
modified: 2023-02-23T09:11:28.834864
access URL: https://daac.ornl.gov/CARVE/guides/CARVE_L2_Flask.html
media type: text/html

Lidar-derived original point clouds, 2012 chunk07
type: Distribution
format: LASZ
issued: 2020-05-26T13:42:23.450930
modified: 2021-11-01T11:08:41.119403
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2012_chunk07.zip
media type: application/zip

ACPR settlements CSV
type: Distribution
description: CSV file derived and adapted from Shapefile (Wang, Shinan, & Ramage, Justine. (2021). Population in the Arctic Circumpolar Permafrost Region at settlement level (Version 2) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4519205)
format: csv-geo-au
issued: 2021-02-02T12:21:28.269028
modified: 2021-11-01T11:09:10.750845
access URL: https://apgc.awi.de/dataset/595bfaf8-8c85-4d4d-aa6d-b00e79486b6d/resource/6edc83a6-86dc-4003-b503-defaafb51bbb/download/acpr_sett.csv
byte size: 130557
media type: text/csv

Lake change datasets for 2017 and 2018 based on high-temporal resolution PlanetScope imagery as Polygon Shapefiles and csv
type: Distribution
description: zipped shapefiles, csv
format: SHP
issued: 2024-06-19T11:42:28.661566
modified: 2024-06-19T11:42:28.638615
access URL: https://download.pangaea.de/dataset/922808/files/Nitze_etal_2020_LakeChange_Planet_Cooley.zip

ACPR settlements Permafrost CSV
type: Distribution
description: CSV file derived and adapted from Shapefile (Wang, Shinan, & Ramage, Justine. (2021). Settlements located within the permafrost extent in the Arctic Circumpolar Permafrost Region (Version 1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4519217)
format: csv-geo-au
issued: 2021-02-10T08:47:45.260939
modified: 2021-11-01T11:09:14.466593
access URL: https://apgc.awi.de/dataset/7a484a41-2091-4eb4-a230-c51a9fc08d6c/resource/791f665a-2e4a-4fdc-8828-266b2efca4ca/download/acpr_sett_pf.csv
byte size: 107409
media type: text/csv

WP4 Mackenzie 2019 nutrients concentrations
type: Distribution
format: TXT
issued: 2023-05-31T09:38:57.920746
modified: 2023-05-31T15:21:05.665486
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937578

Study sites as Polygon Shapefiles
type: Distribution
description: Study sites in two versions: a) including seawater and b) clipped to land area
format: SHP
issued: 2024-06-19T11:42:28.661569
modified: 2024-06-19T11:42:28.638847
access URL: https://download.pangaea.de/dataset/922808/files/Nitze_etal_2020_StudySite.zip

2013 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2013-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637723
modified: 2024-05-29T13:47:16.913336
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2013-fv04.0.nc

FLUXNET-CH4 Community Product
type: Distribution
description: Must sign in to FLUXNET to download
format: HTML
issued: 2023-02-02T09:39:36.398480
modified: 2023-02-22T10:34:23.799876
access URL: https://fluxnet.org/data/fluxnet-ch4-community-product/

carve_FTS_L2QR_b23_*.nc
type: Distribution
description: 173 vertical column netCDF files (*.nc) | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-03-01T14:53:26.747026
modified: 2023-03-01T15:46:57.276361
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

TUW_ASAWS_PTL_001_001_20070701_000001-20070930_235959_ALL_aux.zip
type: Distribution
description: 2007-07-01 to 2007-09-30 | 10 zipped *.tif files
format: ZIP
issued: 2023-02-28T14:12:09.704884
modified: 2023-02-28T14:12:14.038888
access URL: https://hs.pangaea.de/sat/alanis/TUW_ASAWS_PTL_001_001_20070701_000001-20070930_235959_ALL_aux.zip
media type: application/zip

CARVE column gas from Airborne fourier transform spectrometer, Alaska, 2012-2015
type: Dataset
description: This data set provides total vertical column O2, CO2, CH4, CO, and H2O, as well as dry-air columns of CO2, CH4, CO, and H2O from airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The data represent the Level 2 Quick Retrieval (L2QR) data product collected using the CARVE Fourier Transform Spectrometer (FTS). Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Dupont, F., F. Tanguay, M. Li, G. Perron, C.E. Miller, S.J. Dinardo, and T.P. Kurosu. 2017. CARVE: L2 Column Gas and Uncertainty from Airborne FTS, Alaska, 2012-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1429 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/1429
issued: 2023-03-01T14:46:42.328744
modified: 2023-03-01T16:37:55.376921
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: carbon monoxide
keyword: Methane
keyword: Atmospheric Carbon Dioxide
keyword: Arctic Carbon
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

BAWLD-CH4: Methane Fluxes from Boreal and Arctic Ecosystems, 1984-2019, Pan-Arctic
type: Dataset
description: These are the data files for the Boreal-Arctic Wetland and Lake Database methane (CH4) flux dataset (BAWLD-CH4). The dataset is a synthesis of reported methane fluxes from natural ecosystems in the Boreal-Arctic region. The dataset is split into two components- 1) terrestrial methane fluxes (wetland and non-wetland) and 2) aquatic methane fluxes (lakes and ponds). BAWLD-CH4 was constructed in parallel with a compatible land cover dataset (Olefeldt et al. 2021) sharing the same land cover classes to enable refined bottom-up assessments of annual CH4 emissions from the Boreal-Arctic region. BAWLD-CH4 includes information on site-level, surface CH4 fluxes, but also on study design (measurement method, timing, and frequency) and site characteristics (vegetation, climate, hydrology, soil, and sediment types, permafrost conditions, lake size and depth, and BAWLD land cover class). ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ McKenzie Kuhn, Ruth Varner, David Bastviken, Patrick Crill, Sally MacIntyre, et al. 2021. BAWLD-CH4: Methane Fluxes from Boreal and Arctic Ecosystems. Arctic Data Center doi:10.18739/A2DN3ZX1R.
issued: 2023-02-21T14:45:10.280235
modified: 2024-04-09T13:09:05.025630
spatial: Location
version info: 1.0
contact point: Organization
  fn: McKenzie Kuhn
keyword: Lakes
keyword: Wetlands
keyword: Boreal
keyword: Emissions
keyword: Flux
keyword: Methane
keyword: Arctic
landing page: https://arcticdata.io/catalog/view/doi:10.18739/A2DN3ZX1R

Publication this dataset is a supplement to
type: Distribution
description: Lara, M. J. et al. Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska. Sci. Data 5:180058 doi: 10.1038/sdata.2018.58 (2018).
format: HTML
issued: 2020-04-28T13:30:06.587672
modified: 2021-11-01T11:09:04.687716
access URL: https://doi.org/10.1038/sdata.2018.58

ASCENDS-CO2SOUNDER-XCO2_DC8_YYYYMMDD_RC.ict
type: Distribution
description: Measurements of column-averaged dry-air mixing ratios (XCO2) from the CO2 Sounder Lidar instrument | Must sign in to ORNL DAAC to download
format: ict
issued: 2023-07-13T13:32:24.347081
modified: 2023-07-13T13:34:41.290585
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
format: PNG
issued: 2023-06-05T08:00:24.333475
modified: 2023-06-05T08:00:24.307663
byte size: 733718
media type: image/png

ACPR settlements CPG
type: Distribution
format: CPG
issued: 2021-02-02T12:14:44.890607
modified: 2021-11-01T11:09:10.749980
access URL: https://zenodo.org/record/4529610/files/ACPR_sett.cpg

Ground layer above-ground biomass of 25 sites from 2018 central Lena Delta (RU) - Raw data of dry weight for each sub-ground vegetation type sampling plot
type: Dataset
description: Field investigations were performed in the central Lena Delta. In total, 25 sites were investigated. The sites were chosen to represent a variety of vegetation communities of the investigated region. 30 m² sample plots (sites) were demarcated in the most homogeneous locations. Heterogeneity was accommodated by roughly assorting vegetation into two to three vegetation types per sampling plot. Within each area of roughly estimated vegetation types we selected one 0.5 x 0.5 m subplot for representative ground-layer above-ground biomass (ABG) harvesting (major taxa and other). For moss and lichen AGB harvesting inside 0.5 x 0.5 m subplots representative 0.1 x 0.1 m subplots were chosen. All harvested AGB samples were weighed fresh in the field. In general, AGB samples with a weight of more than 15 g were subsampled. All samples were oven dried (60 °C, 24 h and weighed again). All ground-layer vegetation AGB assessments were calculated for the fifteen-meter radius plot in g/m² for each sample plot, see https://doi.pangaea.de/10.1594/PANGAEA.935923. All data was collected by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany.
issued: 2023-06-22T09:07:37.403797
modified: 2023-06-22T09:32:42.673278
spatial: Location
version info: 1
contact point: Organization
  fn: Shevtsova, Iuliia
keyword: Field observation
keyword: Above Ground Biomass
landing page: https://doi.org/10.1594/PANGAEA.956067

README
type: Distribution
description: catalogue and license information
format: TXT
issued: 2022-10-20T15:02:21.380220
modified: 2022-10-21T07:37:39.702057
access URL: https://dap.ceda.ac.uk/neodc/esacci/ghg/data/obs4mips/crdp_3/CH4/v100/00README_catalogue_and_licence.txt

Preview
type: Distribution
format: PNG
issued: 2024-09-20T10:00:54.540616
modified: 2024-09-20T10:00:54.523424
byte size: 1131029
media type: image/png

Above Ground Biomass Lena Delta 2018
type: Distribution
format: TXT
issued: 2024-06-13T12:30:33.863602
modified: 2024-06-13T12:34:44.650894
access URL: https://doi.pangaea.de/10.1594/PANGAEA.935923

in situ CO2 and CH4 chamber fluxes.txt
type: Distribution
format: TXT
issued: 2023-03-06T15:18:24.553469
modified: 2023-03-06T15:18:50.036383
access URL: https://zenodo.org/record/5584710/files/in%20situ%20CO2%20and%20CH4%20chamber%20fluxes.txt

Preview
type: Distribution
format: PNG
issued: 2019-01-24T13:38:26.312676
modified: 2021-11-01T11:08:47.570996
byte size: 126091
media type: image/png

Spatial lake dynamics and lake-ice datasets of the Northern Seward and Baldwin Peninsulas in Alaska
type: Dataset
description: The data publication contains supplementary data to the article "Supplementary Dataset to: The catastrophic thermokarst lake drainage events of 2018 in northwestern Alaska: Fast-forward into the future". This data publication includes four datasets: 1. Lake change datasets for 1999-2014 and 2017-2018 based on Landsat and Sentinel-1 data as Polygon Shapefiles 2. Lake change datasets for 2017 and 2018 based on high-temporal resolution PlanetScope imagery as Polygon Shapefiles and csv. 3. Lake ice simulations for the study area for 1980-2018. 4. Study sites in two versions: a) including seawater and b) clipped to land area. Files are Polygon Shapefiles. The datasets cover the land area of the Baldwin Peninsula and northern Seward Peninsula in north-western Alaska. The datasets are (#1&#2) remote sensing based observations and (#3) modelled data. Methods are described in detail in the original manuscript (open access). Dataset #4 is the extent of the study site in two versions, a) full extent including seawater and b) land only including lakes. The land boundary was clipped with the “Global Self-consistent, Hierarchical, High-resolution Geography Database” (GSHHG; Wessel and Smith, 1996) dataset in scale “h”. The datasets cover different temporal periods and have a different temporal resolution. Data were collected to measure the extent of a rapid and widespread thermokarst lake drainage event in northwestern Alaska in 2018 and to compare the affected number of lakes and area to previous periods. Lake-ice model data were calculated to simulate lake-ice conditions since 1980 and to put the lake-ice and weather conditions in 2017/2018 into context.
issued: 2024-06-19T11:42:28.656131
modified: 2024-06-19T11:42:28.656137
spatial: Location
version info: 1
contact point: Organization
  fn: Nitze, Ingmar
keyword: Remote Sensing
keyword: Lake dynamics
keyword: Thermokarst Lake
keyword: Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.922808

Preview
type: Distribution
description: Taken from: Roy Chowdhury, T., Herndon, E.M., Phelps, T.J., Elias, D.A., Gu, B., Liang, L., Wullschleger, S.D. and Graham, D.E. (2015), Stoichiometry and temperature sensitivity of methanogenesis and CO2 production from saturated polygonal tundra in Barrow, Alaska. Glob Change Biol, 21: 722–737. doi:10.1111/gcb.12762
format: JPEG
issued: 2023-03-29T14:09:08.611169
modified: 2023-03-29T14:09:33.329926
byte size: 149444
media type: image/jpeg

Dissolved methane and hydrochemical parameters in ice cores from 2017, Bykovsky Peninsula, Lena Delta
type: Dataset
description: Data were analyzed to study the role of an winter ice cover for methane cycles of three different stages in the lake-lagoon-shelf transition in a region of rapidly thawing permafrost in northeast Siberia. Dissolved methane concentrations and stable carbon isotopic signature of methane as well as hydrochemical parameters, as stable water isotope composition, electrical conductivity, dissolved organic carbon and temperature were analyzed in ice cores. The ice cores were taken at Tiksi Bay (core 27-30), Polar Fox Lagoon (core 31 and 32), and Goltsovoye Lake (core 20-24) in April 2017.
identifier: DOI: 10.1594/PANGAEA.913642
issued: 2023-03-16T10:27:37.553013
modified: 2024-04-09T13:08:34.701124
spatial: Location
version info: 1.0
contact point: Organization
  fn: Spangenberg, Ines
keyword: Methane
keyword: Lakes
keyword: Permafrost
keyword: Arctic Carbon
keyword: Lake Change
landing page: https://doi.pangaea.de/10.1594/PANGAEA.913642

Preview
type: Distribution
description: Taken from: Sweeney, C., and K. McKain. 2019. ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1658
format: PNG
issued: 2023-07-05T11:24:59.554958
modified: 2023-07-05T11:25:23.873114
byte size: 1011148
media type: image/png

Remote sensing reflectance (Rrs) of the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Vertical profiles of downwelling irradiance (Ed) and upwelling radiance (Lu) were measured during legs 2, 3, and 4 using a Compact-Optical Profiling System (C-OPS) in an ICE-Pro frame from Biospherical Instruments, Inc. (for a detailed description see Morrow et al. 2010 (see further details)). Additionally, above-surface incident downward irradiance (Es(0+)) was measured at about two meters above sea level and was used to correct in-water Ed and Lu for changes in the incident light field during Lu profiling (Zibordi et al., 2019; doi:10.25607/OBP-691). All radiometric quantities were measured at 19 wavelengths spanning from 380 to 875 nm. In-water profiles were obtained from the boat using a 3 m long pole, deployed towards the sun to avoid shading from the boat. The data that were acquired with a tilt of more than 5 degrees were discarded (Hooker et al., 2013; doi:10.5194/bg-10-4511-2013). Due to the high absorption and scattering coefficients in the sampled waters and considering relatively large dimensions of the ICE-Pro, self-shading correction was not negligible. Absorption observed in the present study were mostly outside the limits examined by Gordon and Ding (1992; doi:10.4319/lo.1992.37.3.0491), suggesting the application of the correction questionable. To overcome this issue, we performed Monte-Carlo simulations using the SimulO software (Leymarie et al., 2010; doi:10.1364/AO.49.005415) for examining the self-shading correction factor on Lu at null depth (Gerbi et al., 2016 (doi:10.1175/JTECH-D-16-0067.1); Leymarie et al., 2018 (doi:10.3389/fmars.2018.00437)). The exact dimensions of the ICE-Pro were simulated and virtually placed at a depth of 0.5 m. A wide range of IOPs was considered to cover the conditions encountered in the field. The simulations provide a robust relationship between the computed self-shading and the quantity x = a + bb, where a is the total measured absorption coefficient (i.e., the contributions of pure water, CDOM, algal and non-alg…
issued: 2023-06-07T14:35:24.754359
modified: 2023-06-08T15:33:33.401384
spatial: Location
version info: 1.0
contact point: Organization
  fn: Matsuoka, Atsushi
keyword: Coastal waters
keyword: Biogeochemistry
keyword: Hydrographic data
keyword: Mackenzie
keyword: Biooptics
landing page: https://doi.org/10.1594/PANGAEA.937583

Normalized HH backscatter
type: Distribution
format: Geotiff
issued: 2019-01-24T13:38:41.738673
modified: 2021-11-01T11:08:47.571188
media type: image/tiff

Thermokarst lagoons data sheet
type: Distribution
description: excel sheet containing information for the 520 extracted thermokarst lagoons
format: XLSX
issued: 2024-09-20T09:59:15.481367
modified: 2024-09-20T09:59:15.822988
access URL: https://download.pangaea.de/dataset/968886/files/area_extraction_panarctic_lagoons_pangaea.xlsx
media type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

WGS84, geotiff, NCSCDv2
type: Distribution
format: Geotiff
issued: 2018-11-05T13:57:20.166558
modified: 2021-11-01T11:08:59.647656
access URL: https://bolin.su.se/data/ncscd/data/v3/raster/WGS84/NCSCDv2_raster_WGS84_Alaska.zip

Preview
type: Distribution
description: Taken from: Abshire, J.B., J. Mao, H. Riris, S.R. Kawa, and X. Sun. 2022. ABoVE/ASCENDS: Active Sensing of CO2, CH4, and Water Vapor, Alaska and Canada, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2050
format: PNG
issued: 2023-07-13T13:26:42.154051
modified: 2023-07-13T13:26:42.320438
byte size: 1196980
media type: image/png

WP4 Mackenzie 2019 POC PON CSV
type: Distribution
description: CSV-file created from WP4 Mackenzie 2019 POC PON __Citation:__ Lizotte, Martine; Juhls, Bennet; Bécu, Guislain; Oziel, Laurent; Leymarie, Edouard; Matsuoka, Atsushi; Ferland, Joannie; Béguin, Marine; Laberge-Carignan, Audrey; Guilmette, Caroline; Maury, Juliette; Hilborn, Andrea; Tisserand, Lucas; Devred, Emmanuel; Doxaran, David; Bossé-Demers, Thomas; Bröder, Lisa; Vonk, Jorien E; Babin, Marcel; Mével, Gaëlle (2021): Particulate organic carbon (POC) and particulate organic nitrogen (PON) concentrations in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937575, In: Juhls, Bennet; Lizotte, Martine; Matsuoka, Atsushi; Mével, Gaëlle; Bécu, Guislain; Overduin, Pier Paul; Devred, Emmanuel; Doxaran, David; Ferland, Joannie; Forget, Marie-Hélène; Hilborn, Andrea; Leymarie, Edouard; Maury, Juliette; Oziel, Laurent; Tisserand, Lucas; Miles, Dillon; Anikina, David Obie James; Guilmette, Caroline; Béguin, Marine; Couture, Raoul-Marie; Bossé-Demers, Thomas; Laberge-Carignan, Audrey; Chaillou, Gwénaëlle; Bélanger, Simon; Bruyant, Flavienne; Babin, Marcel (2021): Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.937587
format: csv-geo-au
issued: 2023-06-02T10:10:44.899357
modified: 2023-06-02T10:10:44.875525
access URL: https://apgc.awi.de/dataset/b2ed2b37-038c-43ba-807d-c71c725531c0/resource/6f2b5451-564f-430a-8539-88b96a44453a/download/nunawp4mackenzie19_poc.csv
byte size: 15090
media type: text/csv

Brosius_2012.zip
type: Distribution
description: Zipped file containing tab delineated txt files.
format: TXT
issued: 2023-04-11T13:30:53.369927
modified: 2023-04-11T13:30:53.610782
access URL: https://doi.pangaea.de/10.1594/PANGAEA.808037

Total above-ground biomass of 25 sites from 2018 central Lena Delta (RU)
type: Dataset
description: Field investigations were performed in the central Lena Delta. In total, 25 sites were investigated. The sites were chosen to represent a variety of vegetation communities of the investigated region. 30 m2 sample plots (sites) were demarcated in the most homogeneous locations. Heterogeneity was accommodated by roughly assorting vegetation into two to three vegetation types per sampling plot. Within each area of roughly estimated vegetation types we selected one 0.5 x 0.5 m subplot for representative ground-layer above-ground biomass (ABG) harvesting (major taxa and other). For moss and lichen AGB harvesting inside 0.5 x 0.5 m subplots representative 0.1 x 0.1 m subplots were chosen. All ground-layer vegetation AGB assessments were calculated for the fifteen-meter radius plot in g m2 for each sample plot. All harvested AGB samples were weighed fresh in the field. In general, AGB samples with a weight of more than 15 g were subsampled. All samples were oven dried (60 °C, 24 h and weighed again). All data was collected by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany.
issued: 2024-06-13T12:30:33.844465
modified: 2024-06-13T12:39:47.320928
spatial: Location
version info: 1
contact point: Organization
  fn: Shevtsova, Iuliia
keyword: Above Ground Biomass
landing page: https://doi.org/10.1594/PANGAEA.935923

Preview
type: Distribution
format: PNG
issued: 2024-10-24T11:03:06.427524
modified: 2024-10-24T11:03:06.362182
byte size: 543164
media type: image/png

N_incubation_Soil_extracts.csv
type: Distribution
format: CSV
issued: 2023-03-29T11:36:09.639575
modified: 2023-03-29T11:36:11.798622
checksum: Checksum
access URL: https://ngee.ornl.gov/ngeedata/NGA188_gas_chemistry_incubations_teller/data/N_incubation_Soil_extracts.csv
media type: text/csv

ACPR settlements Permafrost SBX
type: Distribution
format: SBX
issued: 2021-02-10T08:13:09.240613
modified: 2021-11-01T11:09:14.466255
access URL: https://zenodo.org/record/4519217/files/ACPR_sett_pf.sbx

Database of Ice-Rich Yedoma Permafrost (IRYP)
type: Dataset
description: We synthesized data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. For compiling this map, we used maps of the previous Yedoma coverage estimates, included the digitized areas from Grosse et al. (2013) as well as extracted areas of potential Yedoma distribution from additional surface geological and Quaternary geological maps: 1.: 1:500,000: Q-51-V,G; P-51-A,B; P-52-A,B; Q-52-V,G; P-52-V,G; Q-51-A,B; R-51-V,G; R-52-V,G; R-52-A,B 2.: 1:1,000,000: P-50-51; P-52-53; P-58-59; Q-42-43; Q-44-45; Q-50-51; Q-52-53; Q-54-55; Q-56-57; Q-58-59; Q-60-1; R-(40)-42; R-43-(45); R-(45)-47; R-48-(50); R-51; R-53-(55); R-(55)-57; R-58-(60); S-44-46; S-47-49; S-50-52; S-53-55 3.: 1:2,500,000: Quaternary map of the territory of Russian Federation 4.: Alaska Permafrost Map The digitalization was done using GIS techniques (ArcGIS) and vectorization of raster Images (Adobe Photoshop and Illustrator). Data on Yedoma thickness are obtained from boreholes and exposures reported in the scientific literature. The map and database are still preliminary and will have to undergo a technical and scientific vetting and review process. In their current form, we included a range of attributes for Yedoma area polygons based on lithological and stratigraphical information from the original source maps as well as a confidence level for our classification of an area as Yedoma (3 stages: confirmed, likely, or uncertain). In its current version, our database includes more than 365 boreholes and exposures and more than 2000 digitized Yedoma areas. We expect that the database will continue to grow. In this preliminary stage, we estimate the Northern Hemisphere Yedoma deposit area to cover approximately 625,000 km². We estimate that 53% of the total Yedoma area today is located in the tundra zone, 47% in the taiga zone. Separated from west to east, 29% of the Yedoma area is found in North America and 71 % in North Asia. The latter …
issued: 2016-08-04T07:46:44.499440
modified: 2024-04-09T13:04:11.017395
spatial: Location
version info: 1.0
contact point: Organization
  fn: Strauss, Jens
keyword: Alaska
keyword: Canada
keyword: Russia
keyword: Yedoma
keyword: Permafrost
keyword: Thickness
keyword: Distribution
landing page: https://doi.pangaea.de/10.1594/PANGAEA.861733

NSF Arctic Data Center
type: Agent

organic & litter layer
type: Distribution
description: Content of carbon isotopes (¹³C and ¹⁴C) in organic carbon pools in terrestrial Siberia Summary This dataset represents a literature compilation of carbon isotope data of four terrestrial organic carbon pools, (1) litter and organic layers in northern Russia, Scandinavia, Canada and Alaska (¹³C and ¹⁴C); (2) mineral active layers and non-permafrost soils in Siberia (¹³C and ¹⁴C); (3) exposures of Holocene peat and thermokarst deposits in Siberia (¹⁴C); (4) exposures of Ice Complex deposits in Siberia (¹⁴C). The dataset has been used to quantify the contribution of carbon from different sources to dissolved and particulate organic carbon in large Siberian rivers using statistical source apportionment. Web address https://bolin.su.se/data/wild-2019 Citations Wild, B., Andersson, A., Bröder, L., Vonk, J., Hugelius, G., McClelland, J. W., Song, W., Raymond P. A., Gustafsson, Ö. (2019). Rivers across the Siberian Arctic unearth the patterns of carbon release from thawing permafrost. Proceedings of the National Academy of Sciences of the U.S.A. doi:10.1073/pnas.1811797116 Principal Investigator Birgit Wild, Örjan Gustafsson Keywords Permafrost; Peat; Thermokarst; Active layer; Siberia Category Terrestrial > Arctic carbon Comments This dataset has been used to quantify the contribution of carbon from different terrestrial sources to dissolved and particulate organic carbon in the large Siberian rivers Ob, Yenisey, Lena and Kolyma. To achieve this, we have complemented publicly available long-term monitoring data with a new literature compilation in a statistical approach. The related monitoring dataset with concentrations of dissolved and particulate organic carbon in the Ob, Yenisey, Lena and Kolyma as well as their ¹³C and ¹⁴C contents is found under 'Water Quality' at: https://arcticgreatrivers.org/data/. Link to MATLAB code for statistical source apportionment: https://git.bolin.su.se/bolin/wild-2019. Contact information Email Address birgit.wild@aces.su.se Postal addr…
format: csv-geo-au
issued: 2021-01-20T11:26:45.920866
modified: 2025-02-26T14:15:09.988154
checksum: Checksum
access URL: https://apgc.awi.de/dataset/4180cb83-a583-4f34-97f9-9f2b8b088934/resource/933d1af8-2237-45a0-b7c3-d31eed307752/download/wild-2019-organic_litter.csv
byte size: 20909
media type: text/csv

Lidar-derived original point clouds, 2012 chunk03
type: Distribution
format: LASZ
issued: 2020-05-26T13:40:37.876001
modified: 2021-11-01T11:08:41.118863
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2012_chunk03.zip
media type: application/zip

Preview
type: Distribution
format: PNG
issued: 2018-08-07T15:54:06.247684
modified: 2021-11-01T11:08:04.762683

Labeled polygons
type: Distribution
format: Geotiff
issued: 2020-05-26T13:48:00.432147
modified: 2021-11-01T11:08:41.120275
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/pids_allSites.zip
media type: application/zip

T-MOSAiC 2021 data CSV
type: Distribution
description: generated from T-MOSAiC 2021 data tab-delimited text __Citation:__ Martin, Julia; Boike, Julia; Chadburn, Sarah; Zwieback, Simon; Anselm, Norbert; Goldau, Maybrit P; Hammar, Jennika; Abramova, Ekatarina N; Lisovski, Simeon; Coulombe, Stéphanie; Dakin, Brampton; Wilcox, Evan James; Giamberini, Mariasilvia; Radar, Fieke; Suominen, Otso; Rudd, Daniel Alexander; Mastepanov, Mikhail; Young, Amanda (2023): T-MOSAiC 2021 myThaw data set. PANGAEA, https://doi.org/10.1594/PANGAEA.956039
format: csv-geo-au
issued: 2024-03-21T09:47:19.184834
modified: 2024-03-21T10:10:29.418734
checksum: Checksum
access URL: https://apgc.awi.de/dataset/589ddf2a-7e79-4f0c-a826-b631aca59d50/resource/69fc9e5f-bcc6-4602-ac80-d412bbd59064/download/tmosaic-data-2021.csv
byte size: 1491442
media type: text/csv

Download all
type: Distribution
description: You must sign in to ORNL DAAC to download. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See [ORNL DAAC Data Use and Citation Policy](https://daac.ornl.gov/about/#citation_policy) for more information.
format: ZIP
issued: 2024-10-25T09:49:19.514476
modified: 2024-10-25T09:49:19.491073
access URL: https://daac.ornl.gov/cgi-bin/download.pl

N2O_CH4_rosette.tab
type: Distribution
format: TXT
issued: 2023-04-11T08:15:48.860012
modified: 2023-04-11T08:17:57.048253
access URL: https://doi.pangaea.de/10.1594/PANGAEA.941194

thaw depth, TOC in active layer, soil temperature 2019.txt
type: Distribution
format: TXT
issued: 2023-03-06T15:19:52.157074
modified: 2023-03-06T15:19:52.374987
access URL: https://zenodo.org/record/5584710/files/thaw%20depth%2C%20TOC%20in%20active%20layer%2C%20soil%20temperature%202019.txt

Matlab Code
type: Distribution
format: HTML
issued: 2021-01-20T11:30:33.302227
modified: 2021-11-01T11:07:40.397346
access URL: https://git.bolin.su.se/bolin/wild-2019

2004 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2004-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637710
modified: 2024-05-29T13:44:49.778047
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2004-fv04.0.nc

2020 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2020-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637733
modified: 2024-05-29T13:49:18.223421
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2020-fv04.0.nc

NGEE Arctic Data Catalogue
type: Agent

User Guide
type: Distribution
format: PDF
issued: 2023-03-29T14:09:33.335699
modified: 2023-03-29T14:09:41.830747
access URL: https://ngee.ornl.gov/ngeedata/CO2_CH4_prod_low_temp_soil_incubations/documentation/CO2_and_CH4_Production_Low-Temperature_Incubations_documentation_20160823.pdf
media type: application/pdf

Product User Guide
type: Distribution
format: PDF
issued: 2024-05-29T14:38:03.331626
modified: 2024-09-05T05:45:47.040619
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/docs/v4.0/CCI_PERMA_PUG_v4.1.pdf

Lidar-derived original point clouds, 2014 chunk03
type: Distribution
format: LASZ
issued: 2020-05-26T13:45:20.309118
modified: 2021-11-01T11:08:41.119888
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2014_chunk03.zip
media type: application/zip

T-MOSAiC 2021 myThaw data set Metadata document
type: Distribution
format: PDF
issued: 2023-09-18T14:29:57.519080
modified: 2024-03-21T08:55:06.829589
access URL: https://download.pangaea.de/reference/117389/attachments/Pangaea_METADATA_TMOSAiC_2021_myThaw_v2.pdf
media type: application/pdf

ice complex deposits
type: Distribution
description: Content of carbon isotopes (¹³C and ¹⁴C) in organic carbon pools in terrestrial Siberia Summary This dataset represents a literature compilation of carbon isotope data of four terrestrial organic carbon pools, (1) litter and organic layers in northern Russia, Scandinavia, Canada and Alaska (¹³C and ¹⁴C); (2) mineral active layers and non-permafrost soils in Siberia (¹³C and ¹⁴C); (3) exposures of Holocene peat and thermokarst deposits in Siberia (¹⁴C); (4) exposures of Ice Complex deposits in Siberia (¹⁴C). The dataset has been used to quantify the contribution of carbon from different sources to dissolved and particulate organic carbon in large Siberian rivers using statistical source apportionment. Web address https://bolin.su.se/data/wild-2019 Citations Wild, B., Andersson, A., Bröder, L., Vonk, J., Hugelius, G., McClelland, J. W., Song, W., Raymond P. A., Gustafsson, Ö. (2019). Rivers across the Siberian Arctic unearth the patterns of carbon release from thawing permafrost. Proceedings of the National Academy of Sciences of the U.S.A. doi:10.1073/pnas.1811797116 Principal Investigator Birgit Wild, Örjan Gustafsson Keywords Permafrost; Peat; Thermokarst; Active layer; Siberia Category Terrestrial > Arctic carbon Comments This dataset has been used to quantify the contribution of carbon from different terrestrial sources to dissolved and particulate organic carbon in the large Siberian rivers Ob, Yenisey, Lena and Kolyma. To achieve this, we have complemented publicly available long-term monitoring data with a new literature compilation in a statistical approach. The related monitoring dataset with concentrations of dissolved and particulate organic carbon in the Ob, Yenisey, Lena and Kolyma as well as their ¹³C and ¹⁴C contents is found under 'Water Quality' at: https://arcticgreatrivers.org/data/. Link to MATLAB code for statistical source apportionment: https://git.bolin.su.se/bolin/wild-2019. Contact information Email Address birgit.wild@aces.su.se Postal addr…
format: csv-geo-au
issued: 2021-01-20T11:29:07.871162
modified: 2021-11-01T11:07:40.397232
access URL: https://apgc.awi.de/dataset/4180cb83-a583-4f34-97f9-9f2b8b088934/resource/b916df46-df8d-4461-b055-5a40e4d07ffc/download/wild-2019-ice_complex_deposits.csv
byte size: 53861
media type: text/csv

2000 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2000-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331640
modified: 2024-09-05T07:05:43.799728
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2000-fv04.0.nc

2004 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2004-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331645
modified: 2024-09-05T07:06:29.821522
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2004-fv04.0.nc

Preview
type: Distribution
format: JPEG
issued: 2023-03-29T13:03:29.034796
modified: 2023-03-29T13:03:29.020733
byte size: 64612
media type: image/jpeg

2011 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2011-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637720
modified: 2024-05-29T13:46:44.557661
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2011-fv04.0.nc

carve_GroundISGA_L2_b23_20131231_20160115005650.nc
type: Distribution
description: 2013 Tower data | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-03-01T12:51:04.149458
modified: 2023-03-01T12:52:30.914308
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Polygon statistics
type: Distribution
format: TAB
issued: 2020-05-26T13:03:51.595384
modified: 2021-11-01T11:08:41.118445
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/polygonStatistics.dat

2006 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2006-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637713
modified: 2024-05-29T13:45:22.840994
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2006-fv04.0.nc

2018 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2018-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253887
modified: 2024-05-29T14:35:18.227273
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2018-fv04.0.nc

Mean Annual Ground Temperature (MAGTM) [C°]
type: Distribution
format: Geotiff
issued: 2019-09-05T10:22:02.994479
modified: 2021-11-01T11:09:09.253765
access URL: https://store.pangaea.de/Publications/ObuJ-etal_2019b/UiO_PEX_MAGTM_5.0_20181128_2000_2016_NZ.zip
media type: application/zip

TCCON data from Sodankylä, Lapland (FI), Release GGG2020.R0
type: Dataset
description: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Sodankylä, Finland ###__Citation__ Kivi, R., Heikkinen, P., & Kyrö, E. (2022). TCCON data from Sodankylä (FI), Release GGG2020.R0 (Version R0) [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2020.sodankyla01.R0 Please review the [TCCON data use policy](https://tccon-wiki.caltech.edu/Main/DataUsePolicy) before downloading TCCON data.
issued: 2022-09-26T12:22:34.270630
modified: 2024-03-27T14:22:31.843801
spatial: Location
  geometry: POINT (26.6310 67.3668)
version info: R0
contact point: Organization
  fn: Kivi, Rigel
keyword: TCCON
keyword: Atmospheric trace gases
keyword: FTIR spectroscopy
keyword: Column-averaged dry-air mole fractions
keyword: N2O
keyword: CH4
keyword: Remote Sensing
keyword: CO
keyword: CO2
landing page: https://doi.org/10.14291/tccon.ggg2020.sodankyla01.R0

Greenhouse gas production and soil chemistry in soil Incubations after nitrogen addition, Seward Peninsula, 2018-2019
type: Dataset
description: This dataset provides the results of laboratory soil microcosm incubation experiments conducted under anaerobic conditions with and without the addition of ammonium chloride (NH4Cl). The microcosms contained soil collected in April 2017 from the NGEE Arctic Teller Road Site at mile marker 27 (TL_MM27) near Intensive Site 9 (“Toeslope”) and Intensive Site 5 (“Plateau”). Incubations were conducted at 8°C for 55 days, with repeated measurements of headspace greenhouse gas concentrations. Microcosms were destructively harvested and extracted using ultrapure water and 0.1 M KCl for analysis of the porewater geochemistry. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Michael Philben, David Graham, Baohua Gu. 2020. Greenhouse Gas Production and Soil Chemistry in Anaerobic Soil Microcosm Incubations after Nitrogen Addition, Teller Road Site, Seward Peninsula, 2018-2019. Next Generation Ecosystem Experiments Arctic Data Collection, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, USA. Dataset accessed on [INSERT_DATE] at https://doi.org/10.5440/1529003.
identifier: DOI: https://doi.org/10.5440/1529003
issued: 2023-03-29T11:33:57.551971
modified: 2024-04-09T12:38:36.362328
spatial: Location
  geometry: MULTIPOINT ((-165.9666 64.7451), (-165.9441 64.7292))
version info: 1.0
contact point: Organization
  fn: NGEE Arctic Data Center
keyword: Arctic Tundra
keyword: Methane
keyword: Soil Incubation
keyword: Permafrost
landing page: https://data.ngee-arctic.ornl.gov/data/pages/NGA188.html

Methane and nitrous oxide dissolved gas concentrations from rivers in the North American Arctic (2017–2019)
type: Dataset
description: This dataset contains methane and nitrous oxide dissolved gas concentration and dissolved methane carbon isotope data from rivers in the Canadian Arctic Archipelago region collected between 2017-2019. River samples were collected during CCGS Amundsen cruises using a helicopter to travel to the rivers. At each river site, river water was pumped through tubing using a peristaltic pump. Water was collected into glass serum bottles and allowed to overflow three times before preserving with mercuric chloride and sealing with butyl rubber stoppers and aluminum crimp seals. Gas concentrations were determined using a purge and trap system coupled to a gas chromatograph/mass spectrometer, following the method of Capelle et al. (2015). For methane 𝛿13C, samples (one sample per event) were pre-concentrated through a purge and trap system (Finnigan PreCon Trace Gas Pre-Concentrator) and measured with a Finnigan Delta XP Plus mass spectrometer following the method of Damm et al. (2015).
identifier: DOI: 10.1594/PANGAEA.941200
issued: 2023-04-11T07:43:01.907838
modified: 2023-04-11T08:02:56.952690
spatial: Location
version info: 1.0
contact point: Organization
  fn: Manning, Cara C M
keyword: Ocean
keyword: Methane
keyword: Arctic
keyword: Nitrous Oxide
keyword: River
landing page: https://doi.pangaea.de/10.1594/PANGAEA.941200

ACPR settlements zipped Shapefile
type: Distribution
format: SHP
issued: 2021-02-02T12:20:30.897603
modified: 2021-11-01T11:09:10.750759
access URL: https://apgc.awi.de/dataset/595bfaf8-8c85-4d4d-aa6d-b00e79486b6d/resource/79413170-6b07-4095-adb4-863b0e33ecb5/download/acpr_sett.zip
byte size: 82941
media type: application/zip

CH4incubations2018.csv
type: Distribution
format: CSV
issued: 2023-03-29T12:30:16.716461
modified: 2023-03-29T12:30:18.508289
checksum: Checksum
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Ad3808fe4-5034-4a40-809d-551ba7c13342

carve_AtmosISGA_L2_Merge_2014_20160722.csv
type: Distribution
description: Must sign in to ORNL DAAC to download
format: csv-geo-au
issued: 2023-03-01T11:01:01.182637
modified: 2023-03-01T11:01:01.167996
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Lake ice simulations for the study area for 1980-2018
type: Distribution
format: ZIP
issued: 2024-06-19T11:42:28.661568
modified: 2024-06-19T11:42:28.638737
access URL: https://download.pangaea.de/dataset/922808/files/Nitze_etal_2020_LakeIceSimulations_Duguay.zip

2010 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2010-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331654
modified: 2024-09-05T07:07:38.122813
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2010-fv04.0.nc

Preview
type: Distribution
description: Fig. 3. Spatial distribution of the in situ surface salinity in the coastal waters for leg 1 (A), leg 2 (B), leg 3 (C) and leg 4 (D). __Citation:__ Juhls, B, Matsuoka, A., Lizotte, M. et al. (2022). Seasonal dynamics of dissolved organic matter in the Mackenzie Delta, Canadian Arctic waters: Implications for ocean colour remote sensing. Remote Sensing of Environment, 283,113327. https://doi.org/10.1016/j.rse.2022.113327.
format: JPEG
issued: 2023-06-07T09:30:46.192352
modified: 2023-06-07T09:37:02.833741
media type: image/jpeg

Preview
type: Distribution
description: from: Nitze, Ingmar; Cooley, Sarah W; Duguay, Claude R; Jones, Benjamin M; Grosse, Guido (2020): The catastrophic thermokarst lake drainage events of 2018 in northwestern Alaska: fast-forward into the future. The Cryosphere, 14(12), 4279-4297, https://doi.org/10.5194/tc-14-4279-2020
format: PNG
issued: 2024-06-19T11:42:28.661570
modified: 2024-06-19T11:42:28.638954

Northern Seward Peninsula zipped shapefile
type: Distribution
description: Must sign in to ORNL DAAC to download
format: SHP
issued: 2023-02-21T09:48:20.859211
modified: 2023-02-21T09:49:13.485226
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

PEATMAP - peatland distribution maps based on meta-analysis, 1999-2010, Global
type: Dataset
description: PEATMAP is a GIS shapefile dataset that shows a distribution of peatlands that covers the entire world. It was produced by combining the most high quality available peatland map from a wide variety of sources that describe peatland distributions at global, regional and national levels. The following sequence of comparisons to discriminate between overlapping data sources were used: (1) Relevance. The most important criterion was that source data are able to identify peatlands faithfully and to distinguish them from other land cover types, especially non-peat forming wetlands. (2) Spatial resolution. In areas where two or more overlapping data sources were indistinguishable in terms of their relevance to peatlands, the dataset with the finest spatial resolution was selected. (3) Age. In any areas where two or more overlapping datasets were indistinguishable based on both their apparent relevance to peatlands and their spatial resolution, the data product that had been most recently updated was selected. Recently updated products commonly contain much older source data, the period over which the latest revision source data were collected as the primary measure of the age of a dataset. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Xu, Jiren and Morris, Paul J. and Liu, Junguo and Holden, Joseph (2017) PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis. University of Leeds. [Dataset] https://doi.org/10.5518/252
identifier: DOI: 10.5518/252
issued: 2023-03-07T15:43:35.298040
modified: 2023-04-03T08:58:55.696699
spatial: Location
version info: 1.0
contact point: Organization
  fn: Xu, Jiren
keyword: Peatlands
keyword: Wetland
keyword: Map
landing page: https://doi.org/10.5518/252

Product Guide
type: Distribution
format: PDF
issued: 2018-08-07T15:55:03.294269
modified: 2021-11-01T11:08:04.762915
access URL: https://doi.pangaea.de/10013/epic.39180.d001

Tundra_field_database.csv
type: Distribution
description: You must sign in to ORNL DAAC to download. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See [ORNL DAAC Data Use and Citation Policy](https://daac.ornl.gov/about/#citation_policy) for more information.
format: CSV
issued: 2024-10-25T09:45:27.054673
modified: 2024-10-25T09:49:19.490872
access URL: https://daac.ornl.gov/daacdata/above/FieldData_Alaska_Tundra/data/Tundra_field_database.csv
media type: text/csv

Holocene vegetation dynamics of circum-Arctic permafrost peatlands
type: Dataset
description: Vegetation shifts in circum-Arctic permafrost peatlands drive feedbacks with important consequences for peatland carbon budgets and the extent of permafrost thaw under changing climate. Recent shrub expansion across Arctic tundra environments has led to an increase in above-ground biomass, but the long-term spatiotemporal dynamics of shrub and tree growth in circum-Arctic peatlands remain unquantified. We investigate changes in peatland vegetation composition during the Holocene using previously-published plant macrofossil records from 76 sites across the circum-Arctic permafrost zone. In particular, we assess evidence for peatland shrubification at the continental scale. We identify increasing abundance of woody vegetation in circum-Arctic peatlands from ~8000 years BP to present, coinciding with declining herbaceous vegetation and widespread Sphagnum expansion. Ecosystem shifts varied between regions and present-day permafrost zones, with late-Holocene shrubification most pronounced where permafrost coverage is presently discontinuous and sporadic. After ~600 years BP, we find a proliferation of non-Sphagnum mosses in Fennoscandia and across the present-day continuous permafrost zone; and rapid expansion of Sphagnum in regions of discontinuous and isolated permafrost as expected following widespread fen-bog succession, which coincided with declining woody vegetation in eastern and western Canada. Since ~200 years BP, both shrub expansion and decline were identified at different sites across the pan-Arctic, highlighting the complex ecological responses of circum-Arctic peatlands to post-industrial climate warming and permafrost degradation. Our results suggest that shrubification of circum-Arctic peatlands has primarily occurred alongside surface drying, resulting from Holocene climate shifts, autogenic peat accumulation, and permafrost aggradation. Future shrubification of circum-Arctic peatlands under 21st century climate change will likely be spatially heterogen…
issued: 2023-05-17T13:25:39.929015
modified: 2023-05-17T14:36:52.061887
spatial: Location
version info: 1.0
contact point: Organization
  fn: Fewster, Richard E.
keyword: Shrubification
keyword: Permafrost
keyword: Plant macrofossils
keyword: Vegetation dynamics
keyword: Paleogeography
keyword: Palaeoecology
keyword: Holocene
keyword: Peatlands
landing page: https://doi.org/10.1016/j.quascirev.2023.108055

WGS84, netCDF, NCSCDv2
type: Distribution
format: NetCDF
issued: 2018-11-05T13:59:16.955555
modified: 2021-11-01T11:08:59.647867
access URL: https://bolin.su.se/data/ncscd/data/v3/netCDF/WGS84/NCSCDv2_NetCDF_WGS84_Alaska.zip

Eddy covariance carbon fluxes and ancillary data, Samoylov Island, Lena River Delta, 2014-2015
type: Dataset
description: This dataset contains fluxes of carbon dioxide and methane on an active flood plain in the Siberian Lena River Delta during the growing seasons 2014 and 2015 by means of the eddy covariance method. For explaining the pronounced spatiotemporal variability in the carbon fluxes, a set of environmental parameters has been utilised. This data set may help to refine estimates of the pan-Arctic greenhouse gas budget and the reduction of its uncertainties.
identifier: DOI: 10.1594/PANGAEA.902829
issued: 2023-02-27T18:05:33.579448
modified: 2024-04-09T12:44:20.871005
spatial: Location
  geometry: POINT (126.4722 72.3756)
version info: 1.0
contact point: Organization
  fn: Christian Wille
keyword: Methane
keyword: Carbon Flux
keyword: Permafrost
keyword: Eddy Covariance
keyword: Tundra
landing page: https://doi.pangaea.de/10.1594/PANGAEA.902829

2009 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2009-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253875
modified: 2024-05-29T14:35:18.226166
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2009-fv04.0.nc

Fluorescent dissolved organic matter (FDOM) intensity (Parafac components and FDOM indices) in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: Fluorescent dissolved organic matter intensity was measured with an Aqualog®. Measurements were corrected for inner-filter effects and for the Raman and Rayleigh scattering (Murphy et al., 2013; doi:10.1039/C3AY41160E). The different fluorescent components of DOM were isolated from combined signal by PARAFAC modeling using the “drEEM Toolbox” and following the recommendation of Murphy et al. (2013; doi:10.1039/C3AY41160E). The DOM components derived from PARAFAC modeling were compared with PARAFAC components from other studies through the OpenFluor database (Murphy et al., 2014; doi:10.1039/C3AY41935E). The coble-peaks indicate major fluorescent components (Coble 1996; doi:10.1016/0304-4203(95)00062-3) in marine FDOM EEMs (Excitation-Emission-Matrix). Peaks T represents protein-like compounds (tyrosine and tryptophane), peaks A and C are indicators of humic-like components whereas peak M was associated to marine humic-like fluorescence. The fluorescence index (FI) is calculated as the ratio of fluorescence at emission 450 nm and 500 nm, at fixed excitation of 370 nm. The HIX index is the ratio of the areas of two spectral wavelength regions in the emission spectra for an excitation at 254 nm and it is obtained as: HIX = H∕L, where H is the area between 435 and 480 nm in the emission spectra and L is the area in the emission spectra between 300 and 345 nm (Zsolnay et al., 1999; doi:10.1016/S0045-6535(98)00166-0). The BIX index is obtained by calculating the ratio of the emission at 380 and 430 nm, excited at 310 nm: BIX = IEm380∕IEm430 (Huguet et al., 2009; doi:10.1016/j.orggeochem.2009.03.002).
issued: 2023-06-09T08:47:20.319856
modified: 2023-06-09T11:19:21.787132
spatial: Location
version info: 1.0
contact point: Organization
  fn: Matsuoka, Atsushi
keyword: Biogeochemistry
keyword: Hydrographic data
keyword: Mackenzie
keyword: Biooptics
keyword: Coastal waters
landing page: https://doi.org/10.1594/PANGAEA.937582

TUW_ASAWS_PTL_001_001_20080701_000001-20080930_235959_ALL_aux.zip
type: Distribution
description: 2008-07-01 to 2008-09-30 | 10 zipped *.tif files
format: ZIP
issued: 2023-02-28T14:15:18.451286
modified: 2023-02-28T14:16:35.350851
access URL: https://hs.pangaea.de/sat/alanis/TUW_ASAWS_PTL_001_001_20080701_000001-20080930_235959_ALL_aux.zip
media type: application/zip

Surface Soil Moisture & Number of Measurements
type: Distribution
format: Geotiff
issued: 2018-08-07T11:52:11.386978
modified: 2021-11-01T11:08:03.350188
access URL: http://hs.pangaea.de/sat/due/regional_ASAR_SSM1km_LaptevSea_2005-2011_geotiff.zip

Further details
type: Distribution
format: PDF
issued: 2023-06-07T14:35:24.772467
modified: 2023-06-07T14:45:03.765059
access URL: https://ntrs.nasa.gov/api/citations/20110008342/downloads/20110008342.pdf

WP4 Mackenzie 2019 CTD
type: Distribution
format: TXT
issued: 2023-06-05T14:25:34.610785
modified: 2023-06-06T07:24:44.673817
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937567

Lake_CH4_Fall_Turnover_Emiss.nc
type: Distribution
description: Must sign in to download
format: NetCDF
issued: 2023-02-01T13:02:16.520731
modified: 2023-02-01T13:02:16.475459
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

2017 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2017-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331664
modified: 2024-09-05T07:09:20.368315
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2017-fv04.0.nc

2020 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2020-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331668
modified: 2024-09-05T07:10:14.651156
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2020-fv04.0.nc

2013 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2013-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253880
modified: 2024-05-29T14:35:18.226624
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2013-fv04.0.nc

Lidar-derived original point clouds, 2012 chunk02
type: Distribution
format: LASZ
issued: 2020-05-26T13:40:04.290714
modified: 2021-11-01T11:08:41.118699
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2012_chunk02.zip
media type: application/zip

Preview
type: Distribution
description: Taken from: Oberle, Ferdinand K; Gibbs, Ann E; Richmond, Bruce M; Erikson, Li H; Waldrop, Mark P; Swarzenski, Peter W (2019): Towards determining spatial methane distribution on Arctic permafrost bluffs with an unmanned aerial system. SN Applied Sciences, 1(236), https://doi.org/10.1007/s42452-019-0242-9
format: JPEG
issued: 2024-03-27T14:09:59.190076
modified: 2024-03-27T14:11:52.746862
byte size: 99756
media type: image/jpeg

Barrow Peninsula zipped shapefile
type: Distribution
description: Must sign in to ORNL DAAC to download
format: SHP
issued: 2023-02-21T09:47:10.296713
modified: 2023-02-21T09:47:38.084007
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

BAWLD_CH4_Aquatic.csv
type: Distribution
format: csv-geo-au
issued: 2023-02-21T14:51:27.806684
modified: 2023-04-19T12:09:16.096078
checksum: Checksum
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Ad169e155-9e96-4d8a-a752-0901e1e60448

1998 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1998-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331637
modified: 2024-09-05T07:05:19.444806
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1998-fv04.0.nc

CARVE column gas user guide
type: Distribution
format: HTML
issued: 2023-03-01T15:45:20.686337
modified: 2023-03-01T15:46:57.275940
access URL: https://daac.ornl.gov/CARVE/guides/CARVE_L2_FTS_ColumnGas.html
media type: text/html

Publication this dataset is a supplement to
type: Distribution
description: Oberle, Ferdinand K; Gibbs, Ann E; Richmond, Bruce M; Erikson, Li H; Waldrop, Mark P; Swarzenski, Peter W (2019): Towards determining spatial methane distribution on Arctic permafrost bluffs with an unmanned aerial system. SN Applied Sciences, 1(236), https://doi.org/10.1007/s42452-019-0242-9
format: HTML
issued: 2022-09-20T09:33:50.345462
modified: 2024-03-27T14:09:59.170909
access URL: https://doi.org/10.1007/s42452-019-0242-9

2004 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2004-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253868
modified: 2024-05-29T14:35:18.225529
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2004-fv04.0.nc

KoPF Vegetation Mass 2018
type: Distribution
format: TXT
issued: 2023-07-11T06:50:43.968448
modified: 2023-07-11T07:06:37.254902
access URL: https://doi.pangaea.de/10.1594/PANGAEA.956072

Content of carbon isotopes
type: Distribution
description: Content of carbon isotopes (¹³C and ¹⁴C) in organic carbon pools in terrestrial Siberia Summary This dataset represents a literature compilation of carbon isotope data of four terrestrial organic carbon pools, (1) litter and organic layers in northern Russia, Scandinavia, Canada and Alaska (¹³C and ¹⁴C); (2) mineral active layers and non-permafrost soils in Siberia (¹³C and ¹⁴C); (3) exposures of Holocene peat and thermokarst deposits in Siberia (¹⁴C); (4) exposures of Ice Complex deposits in Siberia (¹⁴C). The dataset has been used to quantify the contribution of carbon from different sources to dissolved and particulate organic carbon in large Siberian rivers using statistical source apportionment. Web address https://bolin.su.se/data/wild-2019 Citations Wild, B., Andersson, A., Bröder, L., Vonk, J., Hugelius, G., McClelland, J. W., Song, W., Raymond P. A., Gustafsson, Ö. (2019). Rivers across the Siberian Arctic unearth the patterns of carbon release from thawing permafrost. Proceedings of the National Academy of Sciences of the U.S.A. doi:10.1073/pnas.1811797116 Principal Investigator Birgit Wild, Örjan Gustafsson Keywords Permafrost; Peat; Thermokarst; Active layer; Siberia Category Terrestrial > Arctic carbon Comments This dataset has been used to quantify the contribution of carbon from different terrestrial sources to dissolved and particulate organic carbon in the large Siberian rivers Ob, Yenisey, Lena and Kolyma. To achieve this, we have complemented publicly available long-term monitoring data with a new literature compilation in a statistical approach. The related monitoring dataset with concentrations of dissolved and particulate organic carbon in the Ob, Yenisey, Lena and Kolyma as well as their ¹³C and ¹⁴C contents is found under 'Water Quality' at: https://arcticgreatrivers.org/data/. Link to MATLAB code for statistical source apportionment: https://git.bolin.su.se/bolin/wild-2019. Contact information Email Address birgit.wild@aces.su.se Postal addr…
format: XLSX
issued: 2021-01-20T11:25:06.137247
modified: 2024-10-24T08:15:29.827081
checksum: Checksum
access URL: https://bolin.su.se/data/uploads/wild-2019-3.xlsx
media type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Europe.zip
type: Distribution
description: Zipped shapefile of peatland distribution - Europe
format: ZIP
issued: 2023-03-07T15:49:11.691785
modified: 2023-03-07T15:49:57.131508
access URL: https://archive.researchdata.leeds.ac.uk/251/6/Europe.zip
media type: application/zip

Preview
type: Distribution
format: PNG
issued: 2023-06-05T09:23:45.226977
modified: 2023-06-05T09:23:45.211061
byte size: 751383
media type: image/png

Water Body Classification from ENVISAT ASAR Wide Swath, 2007-2011, Ob Estuary and Yamal Peninsula, Western Siberia (RU)
type: Dataset
description: The regional waterbody classification is derived from ENVISAT ASAR Wide Swath data with 150 m resolution. Maps represent the extent of water bodies for the summer months July and August for the years 2007 to 2011. Water body maps indicate the presence of water (1) and no water (0). In addition, the number of measurements used to derive the water bodies product are also provided. Water body maps are also available are for the Alaska North Slope and Alaska Highway, the Mackenzie River Valley and Delta, and the Laptev Sea Coast. More information about image processing and classification can be found in the product guide. **This dataset is part of the [ESA Data User Element (DUE) Permafrost Full Product Set](https://doi.pangaea.de/10.1594/PANGAEA.780111).**
issued: 2018-04-23T08:32:13.049049
modified: 2024-03-25T10:44:13.850122
spatial: Location
version info: 2.0
contact point: Organization
  fn: Annett Bartsch
keyword: Water Bodies
keyword: Permafrost
keyword: ENVISAT ASAR Wide Swath
landing page: https://doi.org/10.1594/PANGAEA.779754

NDVI trend map
type: Distribution
format: Geotiff
issued: 2020-04-28T13:25:43.832093
modified: 2021-11-01T11:09:04.687514
media type: image/tiff

Algorithm Theoretical Basis Document
type: Distribution
format: PDF
issued: 2024-05-29T14:35:18.253853
modified: 2024-05-29T14:35:18.224321
access URL: https://climate.esa.int/media/documents/CCI_PERMA_D2.2_ATBD_v4.0.pdf

Training Polygon Shapefile
type: Distribution
format: SHP
issued: 2022-03-30T09:29:14.023724
modified: 2022-03-30T09:29:39.724638
access URL: https://github.com/initze/DL_RTS_Paper/raw/main/data/GT_Set_Nitze_etal_2021_TrainingSet_RTS.zip
media type: application/zip

2007 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2007-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331650
modified: 2024-09-05T07:07:02.351423
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2007-fv04.0.nc

carve_Flask_L2_b23_20151112_20160807204557.nc
type: Distribution
description: 2015 CARVE campaign flights | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-02-23T08:56:10.846221
modified: 2023-02-23T09:11:15.875827
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Lake_CH4_Diff_Ebul_Emiss.nc
type: Distribution
description: Must sign in to download
format: NetCDF
issued: 2023-02-01T13:02:16.520728
modified: 2023-02-01T13:02:16.475328
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

02_Download_ArcticDEM.ipynb
type: Distribution
description: Jupyter Notebook Python Code
format: IPYNB
issued: 2022-03-30T09:32:22.928212
modified: 2022-03-30T09:32:56.474714
access URL: https://github.com/initze/DL_RTS_Paper/raw/main/scripts/02_Download_ArcticDEM.ipynb

1997 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1997-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253857
modified: 2024-05-29T14:35:18.224715
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1997-fv04.0.nc

ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019
type: Dataset
description: This dataset contains a high-resolution land cover classification focused on water and wetland vegetation classes over three NASA ABoVE Campaign regions: Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada. The product was derived from L-band synthetic aperture radar (SAR) acquisitions from the airborne NASA UAVSAR instrument in 2017-2019. The classification was trained and validated from field visits, UAV images, satellite imagery as well as other ABoVE datasets. Classifications in all regions are provided as both preliminary 13-class versions and final, simplified 5-class versions. Training and test data used for the classifier are also included as well as characteristics of lakes in the study area. This land cover classification was developed to support a project focusing on potential methane emissions from the shallow near-shore, or littoral, regions of lakes. The emergent aquatic vegetation classes can be used as a proxy for these littoral zones. Wetland vegetation classifications are provided as gridded raster files with an approximately 5-meter spatial resolution and aligned with the original UAVSAR footprints. Composite mosaics that aggregate these UAVSAR scenes by region and day of acquisition, if applicable, are also provided. Classifications in all regions are provided as both preliminary 13-class versions and final 5-class versions. There are 79 data files included in this dataset, 58 in GeoTIFF (*.tif) format and 21 compressed shapefiles (*.shp). ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Kyzivat, E.D., L.C. Smith, C. Huang, C. Wang, T. Langhorst, J.V. Fayne, M.E. Harlan, Y. Ishitsuka, D. Feng, L.H. Pitcher, and T.M. Pavelsky. 2021. ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1883 This dataset is openly shared,…
identifier: DOI: 10.3334/ORNLDAAC/1883
issued: 2023-07-05T13:23:22.153110
modified: 2024-04-09T12:52:41.867693
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Land Cover Classification
keyword: Wetland extent
keyword: Wetlands
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Sites of plant macrofossil records
type: Distribution
description: Supplementary Datasets S1
format: XLSX
issued: 2023-05-17T13:25:39.942832
modified: 2023-05-17T14:22:23.090076
access URL: https://ars.els-cdn.com/content/image/1-s2.0-S0277379123001038-mmc1.xlsx

Metadata PDF
type: Distribution
format: PDF
issued: 2021-02-02T12:13:08.042245
modified: 2021-11-01T11:09:10.749870
access URL: https://zenodo.org/record/4529610/files/Metadata_shp_ACPR_sett.pdf

Metadata Export
type: Distribution
format: JSON
issued: 2022-09-26T12:22:34.276651
modified: 2022-09-26T12:22:34.241324
access URL: https://data.caltech.edu/records/fnpcw-myc91/export/json

ASCENDS-AVOCET-CH4_DC8_YYYYMMDD_RC.ict
type: Distribution
description: Measurements of methane (CH4) from the Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument.| Must sign in to ORNL DAAC to download
format: ict
issued: 2023-07-13T13:31:30.049123
modified: 2023-07-13T13:33:58.470234
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Preview
type: Distribution
description: Taken from: Kyzivat, E.D., L.C. Smith, C. Huang, C. Wang, T. Langhorst, J.V. Fayne, M.E. Harlan, Y. Ishitsuka, D. Feng, L.H. Pitcher, and T.M. Pavelsky. 2021. ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1883
format: PNG
issued: 2023-07-05T13:38:04.955255
modified: 2023-07-05T13:55:25.983591
byte size: 1456174
media type: image/jpeg

DARTS_NitzeEtAl_v1_coverage_2021_2023_intersect.gpkg
type: Distribution
description: Maximum coverage of the dataset with at least annual coverage between 2021-2023
format: GPKG
issued: 2024-10-24T11:01:10.574866
modified: 2024-10-24T11:03:06.361527
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A9b70d407-b8d7-42ef-aee7-38c1a48b55d9

Surface Soil Moisture from ENVISAT ASAR GM, 2005-2011, Yakutsk, Central Yakutia (RU)
type: Dataset
description: The SAR Surface Soil Moisture (SSM) product is derived from the ENVISAT ASAR sensor operating in Global Monitoring (GM) mode. The SAR SSM product is a weekly mean composite at 1 km spatial resolution for the years 2005 to 2011. The SAR Surface Soil Moisture parameter represents a relative measure of the soil moisture in the top layer of the soil, scaled between references corresponding approximately to wilting level (0%) and field capacity (100%). In addition to the SSM maps, quality indicator maps provide information on the number of individual SSM retrievals that were averaged in order to achieve the corresponding weekly SSM composites. More information about the image processing and SSM retrieval can be found in the product guide. This dataset is part of the ESA Data User Element (DUE) Permafrost Full Product Set (doi:10.1594/PANGAEA.780111).
issued: 2018-08-07T13:46:06.445639
modified: 2024-03-25T10:43:18.000875
spatial: Location
version info: 2.0
contact point: Organization
  fn: Annett Bartsch
keyword: ENVISAT ASAR GM
keyword: Surface Soil Moisture
keyword: Permafrost
landing page: https://doi.pangaea.de/10.1594/PANGAEA.779658

WP4 Mackenzie 2019 aCDOM slope surface water
type: Distribution
format: TXT
issued: 2023-06-08T08:09:55.109087
modified: 2023-06-08T08:12:11.512776
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937580

CARVE atmospheric gas concentrations, airborne spectrometer, Alaska, 2012-2015
type: Dataset
description: This data set provides atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), ozone (O3), and water vapor (H2O) concentrations from airborne campaigns over the Alaskan and Canadian arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). These data are merged and gap-filled outputs from two different cavity ring-down spectrometers (CRDS; Picarro Inc.) flown aboard the CARVE aircraft and are presented at 5-second intervals throughout each flight. Aircraft latitude, longitude, and altitude are also provided. Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Budney, J.W., R.Y-W. Chang, R. Commane, B.C. Daube, A. Dayalu, S.J. Dinardo, E.W. Gottlieb, A. Karion, J.O.W. Lindaas, C.E. Miller, J.B. Miller, S. Miller, M. Pender, J.V. Pittman, J. Samra, C. Sweeney, S.C. Wofsy, and B. Xiang. 2016. CARVE: L2 Merged Atmospheric CO2, CO, O3 and CH4 Concentrations, Alaska, 2012-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1402 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/1402
issued: 2023-03-01T10:57:57.892719
modified: 2023-03-01T12:23:09.269103
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Arctic Carbon
keyword: Atmospheric trace gases
keyword: Methane
keyword: Boreal
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

ScienceDirect
type: Agent

BAWLD_CH4_Terrestrial.csv
type: Distribution
format: csv-geo-au
issued: 2023-02-21T14:50:59.572823
modified: 2023-04-19T12:09:16.095920
checksum: Checksum
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3A2cd142bd-c4e3-4d0e-91e5-e67dab0e46ad

PerSys
type: Agent

WP4 Mackenzie 2019 DOC
type: Distribution
format: TXT
issued: 2023-06-05T09:03:46.965692
modified: 2023-06-05T09:23:26.694529
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937573

Product Guide
type: Distribution
format: PDF
issued: 2019-02-21T09:04:49.971613
modified: 2021-11-01T11:09:09.253620
access URL: https://store.pangaea.de/Publications/ObuJ-etal_2019/Product_Guide_ESA_GlobPermafrost_PD_PEX_201811_V5.0.pdf
media type: application/pdf

Gridded monthly methane emissions from terrestrial wetlands, north of 45 °N, 2013-2014
type: Dataset
description: This dataset provides wetland methane (CH4) emissions, their uncertainties and underlying CH4 flux densities north from 45 N using three different wetland maps. The data products are derived using data from several eddy covariance CH4 flux sites, random forest machine learning algorithms and three prescribed wetland maps. The data are at 0.5 by 0.5 deg or 1 by 1 deg resolution, depending on the wetland map used. The dataset covers years 2013 and 2014. CH4 flux densities are provided only for grid cells with > 5 % wetland coverage. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Peltola, O., Vesala, T., Gao, Y., Räty, O., Alekseychik, P., Aurela, M., Chojnicki, B., Desai, A. R., Dolman, A. J., Euskirchen, E. S., Friborg, T., Göckede, M., Helbig, M., Humphreys, E., Jackson, R. B., Jocher, G., Joos, F., Klatt, J., Knox, S. H., Kowalska, N., Kutzbach, L., Lienert, S., Lohila, A., Mammarella, I., Nadeau, D. F., Nilsson, M. B., Oechel, W. C., Peichl, M., Pypker, T., Quinton, W., Rinne, J., Sachs, T., Samson, M., Schmid, H. P., Sonnentag, O., Wille, C., Zona, D., and Aalto, T.: Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations, Earth Syst. Sci. Data, 11, 1263–1289, https://doi.org/10.5194/essd-11-1263-2019, 2019.
identifier: DOI: 10.5281/zenodo.3247295
issued: 2023-02-22T12:46:47.805828
modified: 2024-04-09T13:05:17.350629
spatial: Location
version info: 1.0
contact point: Organization
  fn: Olli Peltola
keyword: Eddy Covariance
keyword: Emissions
keyword: upscaling
keyword: Methane
keyword: Wetland
landing page: https://zenodo.org/record/3247295#.Y_YMySbMJZd

Environmental Information Data Centre (EIDC)
type: Agent

Land and Wetland Classification User Guide PDF
type: Distribution
description: Must sign in to ORNL DAAC to download
format: PDF
issued: 2023-07-05T13:36:02.558607
modified: 2023-07-05T13:38:04.947808
access URL: https://daac.ornl.gov/ABOVE/guides/Lake_Wetland_Classes_UAVSAR.html
media type: text/html

Product Guide
type: Distribution
format: PDF
issued: 2018-11-05T14:00:32.864171
modified: 2021-11-01T11:08:59.648054
access URL: https://apgc.awi.de/dataset/c73ed76f-8e31-45db-bb46-331f598df768/resource/117606e1-5c6c-4d2d-8fee-78ff87e73799/download/ncscdv2productguide.pdf

2019 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2019-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253889
modified: 2024-05-29T14:35:18.227393
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2019-fv04.0.nc

Polygonal Tundra Geomorphology Map from Landsat time series, 2014, Alaskan Arctic Coastal Plain (US)
type: Dataset
description: We mosaicked twelve LandSat-8 OLI satellite images taken during the summer of 2014, which were used in an object based image analysis (OBIA) to classify the landscape. We mapped seventeen of the most dominant geomorphic land cover classes on the Alaskan Coastal Plain (ACP): value, class name 0 = No Data | 2 = Coalescent low-center polygons | 3 = Low-center polygons | 4 = Nonpatterned Drained Thaw Lake Basins | 7 = Drained slope | 8 = Flat-center polygons | 9 = High-center polygons | 10 = Sandy barrens | 11 = Sand dunes | 12 = Ice | 13 = Coastal saline waters | 16 = Rivers | 17 = Urban (i.e. towns and roads) | 18 = Riparian corridors | 20 = Ponds | 21 = Small lakes | 22 = Medium lakes | 23 = Large lakes ### __Credits__ This work was supported through the Next-Generation Ecosystem Experiments (NGEE-Arctic) project supported by the Office of Biological and Environmental Research in the U.S. Department of Energy Office of Science, and the Integrated Ecosystem Model for Alaska and Northwest Canada project supported by the USGS Alaska Climate Science Center and by the Arctic, Western, and Northwest Boreal Landscape Conservation Cooperatives Detailed information about the methods can be found in the [publication to which this dataset is a supplement](https://doi.org/10.1038/sdata.2018.58). ###__Citation__ __In order to use these data, you must cite this data set with the following citation:__ Lara, M. J. SNAP Data Portal https://doi.org/10.21429/C9JS8S (2017)
issued: 2020-04-29T08:22:59.564304
modified: 2025-02-24T10:56:11.958329
spatial: Location
version info: 2.0
contact point: Organization
  fn: Lara, Mark J.
keyword: Geomorphology
keyword: Permafrost
keyword: Land Cover
landing page: https://doi.org/10.21429/C9JS8S

Preview
type: Distribution
format: PNG
issued: 2024-06-13T12:39:25.781188
modified: 2024-06-13T12:39:25.766704
byte size: 472792
media type: image/png

Inc_CH4_CO2_Laurent_etal-2022.tab
type: Distribution
format: TXT
issued: 2023-07-05T08:29:30.606923
modified: 2023-07-05T08:30:15.597929
access URL: https://doi.pangaea.de/10.1594/PANGAEA.945684

Lidar-derived original point clouds, 2014 chunk01
type: Distribution
format: LASZ
issued: 2020-05-26T13:44:22.352239
modified: 2021-11-01T11:08:41.119647
access URL: https://hs.pangaea.de/Maps/AboltCJ-YoungMH_2019/lidar_2014_chunk01.zip
media type: application/zip

Research Data Leeds Respository
type: Agent

FLUXNET-CH4 Community Product Metadata CSV file
type: Distribution
format: csv-geo-au
issued: 2023-02-22T10:08:19.287098
modified: 2023-02-22T10:08:35.969118
checksum: Checksum
access URL: https://apgc.awi.de/dataset/cf8eb7c5-0770-4e5d-b611-06aa256157dc/resource/219a9bbb-b4f6-4709-9be7-7740682b97fa/download/flx_aa-flx_ch4-meta.csv
byte size: 19042
media type: text/csv

Preview
type: Distribution
description: Taken from: Korrensalo, Aino; Mammarella, Ivan; Alekseychik, Pavel; Vesala, Timo; Tuittila, Eeva-Stiina (2021): Plant mediated methane efflux from a boreal peatland complex. Plant and Soil, https://doi.org/10.1007/s11104-021-05180-9
format: JPEG
issued: 2023-04-11T10:22:30.507579
modified: 2023-04-11T10:22:30.760586
byte size: 141146
media type: image/jpeg

1999 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1999-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331638
modified: 2024-09-05T07:05:31.198277
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-1999-fv04.0.nc

Product Guide
type: Distribution
format: PDF
issued: 2018-05-15T10:36:00.525415
modified: 2021-11-01T11:08:05.195120
access URL: http://epic.awi.de/30241/7/ESA_DUE_Permafrost_SAR_Water_version2_product_guide_1.0.pdf

Incubation data, Carbon flux data and soil properties of thaw slump soils on Kurungnakh, Lena Delta, 2016 & 2019
type: Dataset
description: The dataset comprises in situ CO2 and CH4 fluxes, active layer depths, thawed carbon pools and soil temperatures from different non-vegetated soils in an active thaw slump in the Lena Delta, Siberia, Russia, measured in July 2016 and July 2019. - CO2 and CH4 rates from incubations and potential fluxes.txt: This dataset contains rates of CO2 and CH4 production and the potential CO2 and CH4 emission rates calculated from these incubation fluxes - in situ CO2 and CH4 chamber fluxes.txt: This dataset contains CO2 and CH4 fluxes measured with closed chambers from different sites on Kurungnakh in July 2016 and July 2019 - simulated soil temperature and modelled CO2 fluxes.txt: This dataset contains daily mean soil temperature data simulated with JSBACH for 2016 and the annual CO2 fluxes simulated with a Q10 model and the Introductory Carbon Balance Model (ICBM) - thaw depth, TOC in active layer, soil temperature 2016.txt: This dataset contains the thaw depth, TOC pools in the active layer and the soil temperature during the measurement period in July 2016 - thaw depth, TOC in active layer, soil temperature 2019.txt: This dataset contains the thaw depth, TOC pools in the active layer and the soil temperature during the measurement period in July 2019 ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Knoblauch, Christian, Beer, Christian, Schuett, Alexander, Sauerland, Lewis, Liebner, Susanne, Steinhof, Axel, Rethemeyer, Janet, Grigoriev, Mikhail N., & Faguet, Alexey. (2021). Incubation data, CO2 and CH4 flux data and soil properties of thaw slump soils on Kurungnakh, Lena Delta in July 2016 and July 2019 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5584710
identifier: DOI: 10.5281/zenodo.5584710
issued: 2023-03-06T15:17:36.838245
modified: 2024-04-09T12:45:23.332660
spatial: Location
  geometry: POINT (126.2900 72.3300)
version info: 1.0
contact point: Organization
  fn: Knoblauch, Christian
keyword: Methane
keyword: Lena-Delta
keyword: Carbon Flux
keyword: Arctic Tundra
keyword: Thaw Slump
landing page: https://zenodo.org/record/5584710#.ZAX_uz3MJZd

Inventory_1990-2019_IPCC.csv
type: Distribution
format: CSV
issued: 2023-04-11T12:04:02.757096
modified: 2023-04-11T12:04:10.491930
checksum: Checksum
access URL: https://zenodo.org/record/5089799/files/Inventory_1990-2019_IPCC.csv

ABoVE_april-nov_2017_flask_data.csv
type: Distribution
description: 2017 Campaign Flights | Must sign in to ORNL DAAC to download
format: CSV
issued: 2023-07-05T10:12:16.853022
modified: 2023-07-05T10:12:17.130145
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

2005 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2005-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637712
modified: 2024-05-29T13:45:09.161503
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2005-fv04.0.nc

Temperature and salinity in the surface water during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: During Leg 1, the CTD (CTD RBR Maestro) was manually lowered in the water through an ice hole. During legs 2 to 4, the CTD (CTD RBR Concerto) was installed on a Seabird Scientific optical package frame. Poor quality profiles, that had been affected by ice-covered sensors, were removed. Atmospheric pressure observed at weather stations near the sampling locations (Aklavik, Inuvik, Shingle Point and Tuktoyaktuk) was used to tare the CTD pressure sensors. The salinity was re-measured on discrete water samples (Sal Lab) using Mettler Toledo Conductivity/Salinity/pH meter.
issued: 2023-06-07T09:29:13.649706
modified: 2023-06-08T07:09:24.161524
spatial: Location
version info: 1.0
contact point: Organization
  fn: Bécu, Guislain
keyword: Biogeochemistry
keyword: Hydrographic data
keyword: Mackenzie
keyword: Biooptics
keyword: Coastal waters
landing page: https://doi.org/10.1594/PANGAEA.937571

2005 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2005-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331647
modified: 2024-09-05T07:06:41.137619
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2005-fv04.0.nc

Korrensalo_and_Tuittila-2021.tab
type: Distribution
format: TXT
issued: 2023-04-11T10:21:15.876837
modified: 2023-04-11T10:22:50.607306
access URL: https://doi.pangaea.de/10.1594/PANGAEA.939645

Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps (CA, RU)
type: Dataset
description: In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps (RTS), are becoming more abundant and dynamic, with serious implications for permafrost stability and bio-geochemical cycles on local to regional scales. Despite recent advances in the field of earth observation, many of these have remained undetected as RTS are highly dynamic, small, and scattered across the remote permafrost region. Here, we assessed the potential strengths and limitations of using deep learning for the automatic segmentation of RTS using PlanetScope satellite imagery, ArcticDEM and auxiliary datasets. We analyzed the transferability and potential for pan-Arctic upscaling and regional cross-validation, with independent training and validation regions, in six different thaw slump-affected regions in Canada and Russia. We further tested state-of-the-art model architectures (UNet, UNet++, DeepLabv3) and encoder networks to find optimal model configurations for potential upscaling to continental scales. The best deep learning models achieved mixed results from good to very good agreement in four of the six regions (maxIoU: 0.39 to 0.58; Lena River, Horton Delta, Herschel Island, Kolguev Island), while they failed in two regions (Banks Island, Tuktoyaktuk). Of the tested architectures, UNet++ performed the best. The large variance in regional performance highlights the requirement for a sufficient quantity, quality and spatial variability in the training data used for segmenting RTS across diverse permafrost landscapes, in varying environmental conditions. With our highly automated and configurable workflow, we see great potential for the transfer to active RTS clusters (e.g., Peel Plateau) and upscaling to much larger regions. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Nitze, I.; Heidler, K.; Barth, S.; Grosse, G. Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps. Rem…
issued: 2022-03-30T09:28:36.502572
modified: 2024-03-27T14:23:47.098927
spatial: Location
version info: 1.0
contact point: Organization
  fn: Nitze, Ingmar
keyword: Image segmentation
keyword: Semantic segmentation
keyword: Automation
keyword: Landslides
keyword: Permafrost
keyword: ArcticDEM
keyword: Disturbance
keyword: Thermo-erosion
keyword: Deep learning
keyword: Permafrost thaw
keyword: PlanetScope
keyword: Computer vision
landing page: https://github.com/initze/DL_RTS_Paper

2014 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2014-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331659
modified: 2024-09-05T07:08:44.379639
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-2014-fv04.0.nc

Remote Sensing - MDPI
type: Agent

Preview
type: Distribution
description: Taken From: Anthony, K.W., P. Hanke, and P. Lindgren. 2021. ABoVE: Methane Ebullition Hotspots in Frozen Lakes near Fairbanks, Alaska, Oct 2014. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1861
format: PNG
issued: 2023-07-13T12:51:11.771084
modified: 2023-07-13T12:51:11.961087
byte size: 94083
media type: image/jpeg

README
type: Distribution
description: publisher catalogue and licence information
format: TXT
issued: 2024-05-29T13:36:30.637699
modified: 2024-05-29T13:39:22.290290
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/00README_catalogue_and_licence.txt

2006 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2006-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253871
modified: 2024-05-29T14:35:18.225805
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-2006-fv04.0.nc

Regional Water Bodies, 2007-2008, Ob Estuary
type: Distribution
format: Geotiff
issued: 2018-04-23T10:33:22.720289
modified: 2021-11-01T11:08:06.645054
access URL: http://hs.pangaea.de/sat/due/ObEstuaryWaterbodies_ASAR75m_regional_2007-2008.zip

DataCite Metadata
type: Distribution
description: generated by zenodo
format: JSON
issued: 2024-04-08T14:24:50.827892
modified: 2024-04-08T14:25:16.456581
access URL: https://apgc.awi.de/dataset/19837cce-c354-4303-8d0a-12a7ccde8dc8/resource/816c12a6-1f58-4e54-9eb2-cf109929e94c/download/10160636_datacite.json
byte size: 6738
media type: application/json

BGC_Soil_Incubation_Data_V1_TR_20160722.xlsx
type: Distribution
format: XLSX
issued: 2023-03-29T14:07:03.654949
modified: 2023-03-29T14:09:08.604747
access URL: https://ngee.ornl.gov/ngeedata/CO2_CH4_prod_low_temp_soil_incubations/data/BGC_Soil_Incubation_Data_V1_TR_20160722.xlsx
media type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Product Guide
type: Distribution
format: PDF
issued: 2018-04-19T16:28:03.688088
modified: 2021-11-01T11:08:06.291450
access URL: https://doi.pangaea.de/10013/epic.39140.d007

Metadata: Maps_of_ice_wedge_thermokarst_pool_expansion_from.xml
type: Distribution
format: XML
issued: 2024-10-28T08:45:29.595898
modified: 2024-10-28T08:46:20.218466
access URL: https://data.ess-dive.lbl.gov/catalog/d1/mn/v2/object/ess-dive-1fc4b8a27db625e-20240716T193312226

2000 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2000-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637705
modified: 2024-05-29T13:43:21.079658
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2000-fv04.0.nc

Method_Differences.csv
type: Distribution
description: You must sign in to ORNL DAAC to download. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See [ORNL DAAC Data Use and Citation Policy](https://daac.ornl.gov/about/#citation_policy) for more information.
format: CSV
issued: 2024-10-25T09:44:52.781868
modified: 2024-10-25T09:45:27.033163
access URL: https://daac.ornl.gov/daacdata/above/FieldData_Alaska_Tundra/data/Method_Differences.csv
media type: text/csv

holocene peat & thermokarst
type: Distribution
description: Content of carbon isotopes (¹³C and ¹⁴C) in organic carbon pools in terrestrial Siberia Summary This dataset represents a literature compilation of carbon isotope data of four terrestrial organic carbon pools, (1) litter and organic layers in northern Russia, Scandinavia, Canada and Alaska (¹³C and ¹⁴C); (2) mineral active layers and non-permafrost soils in Siberia (¹³C and ¹⁴C); (3) exposures of Holocene peat and thermokarst deposits in Siberia (¹⁴C); (4) exposures of Ice Complex deposits in Siberia (¹⁴C). The dataset has been used to quantify the contribution of carbon from different sources to dissolved and particulate organic carbon in large Siberian rivers using statistical source apportionment. Web address https://bolin.su.se/data/wild-2019 Citations Wild, B., Andersson, A., Bröder, L., Vonk, J., Hugelius, G., McClelland, J. W., Song, W., Raymond P. A., Gustafsson, Ö. (2019). Rivers across the Siberian Arctic unearth the patterns of carbon release from thawing permafrost. Proceedings of the National Academy of Sciences of the U.S.A. doi:10.1073/pnas.1811797116 Principal Investigator Birgit Wild, Örjan Gustafsson Keywords Permafrost; Peat; Thermokarst; Active layer; Siberia Category Terrestrial > Arctic carbon Comments This dataset has been used to quantify the contribution of carbon from different terrestrial sources to dissolved and particulate organic carbon in the large Siberian rivers Ob, Yenisey, Lena and Kolyma. To achieve this, we have complemented publicly available long-term monitoring data with a new literature compilation in a statistical approach. The related monitoring dataset with concentrations of dissolved and particulate organic carbon in the Ob, Yenisey, Lena and Kolyma as well as their ¹³C and ¹⁴C contents is found under 'Water Quality' at: https://arcticgreatrivers.org/data/. Link to MATLAB code for statistical source apportionment: https://git.bolin.su.se/bolin/wild-2019. Contact information Email Address birgit.wild@aces.su.se Postal addr…
format: csv-geo-au
issued: 2021-01-20T11:28:33.897675
modified: 2025-05-21T13:25:54.026101
checksum: Checksum
access URL: https://apgc.awi.de/dataset/4180cb83-a583-4f34-97f9-9f2b8b088934/resource/a1593fc4-10a4-493e-ac2a-e15239ef6ebc/download/wild-2019-holocene_peat_thermokarst.csv
byte size: 20739
media type: text/csv

min. active layer & Non-Permafrost
type: Distribution
description: Content of carbon isotopes (¹³C and ¹⁴C) in organic carbon pools in terrestrial Siberia Summary This dataset represents a literature compilation of carbon isotope data of four terrestrial organic carbon pools, (1) litter and organic layers in northern Russia, Scandinavia, Canada and Alaska (¹³C and ¹⁴C); (2) mineral active layers and non-permafrost soils in Siberia (¹³C and ¹⁴C); (3) exposures of Holocene peat and thermokarst deposits in Siberia (¹⁴C); (4) exposures of Ice Complex deposits in Siberia (¹⁴C). The dataset has been used to quantify the contribution of carbon from different sources to dissolved and particulate organic carbon in large Siberian rivers using statistical source apportionment. Web address https://bolin.su.se/data/wild-2019 Citations Wild, B., Andersson, A., Bröder, L., Vonk, J., Hugelius, G., McClelland, J. W., Song, W., Raymond P. A., Gustafsson, Ö. (2019). Rivers across the Siberian Arctic unearth the patterns of carbon release from thawing permafrost. Proceedings of the National Academy of Sciences of the U.S.A. doi:10.1073/pnas.1811797116 Principal Investigator Birgit Wild, Örjan Gustafsson Keywords Permafrost; Peat; Thermokarst; Active layer; Siberia Category Terrestrial > Arctic carbon Comments This dataset has been used to quantify the contribution of carbon from different terrestrial sources to dissolved and particulate organic carbon in the large Siberian rivers Ob, Yenisey, Lena and Kolyma. To achieve this, we have complemented publicly available long-term monitoring data with a new literature compilation in a statistical approach. The related monitoring dataset with concentrations of dissolved and particulate organic carbon in the Ob, Yenisey, Lena and Kolyma as well as their ¹³C and ¹⁴C contents is found under 'Water Quality' at: https://arcticgreatrivers.org/data/. Link to MATLAB code for statistical source apportionment: https://git.bolin.su.se/bolin/wild-2019. Contact information Email Address birgit.wild@aces.su.se Postal addr…
format: csv-geo-au
issued: 2021-01-20T11:27:45.939310
modified: 2025-05-21T13:25:50.089795
checksum: Checksum
access URL: https://apgc.awi.de/dataset/4180cb83-a583-4f34-97f9-9f2b8b088934/resource/3e3e98da-4933-45c5-91dc-e8fe67a19057/download/wild-2019-active_layer_non_pf.csv
byte size: 17340
media type: text/csv

can_emis_other_minor_sources_2018.nc
type: Distribution
format: NetCDF
issued: 2023-07-13T11:56:31.742278
modified: 2023-07-13T12:01:22.076295
access URL: https://dataverse.harvard.edu/api/access/datafile/5374080

SAR-based Methane Ebullition Flux from Lakes, Five Regions, Alaska, 2007-2010
type: Dataset
description: This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2010 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite (ALOS-1) satellite. The backscatter data were combined with field measurements of methane ebullition from 48 study lakes across the five regions to obtain a volumetric flux estimate for each lake. Mean methane gas-fractions from each region were applied to the SAR-based volumetric fluxes to obtain an estimate of methane ebullition mass flux per lake. The data files contain lake perimeters and the lake-specific attributes of lake area, SAR backscatter values and standard errors, volumetric flux with standard errors, mean percent of methane from gas samples, and methane ebullition mass flux. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Engram, M.J., K.W. Anthony, and F.J. Meyer. 2020. ABoVE: SAR-based Methane Ebullition Flux from Lakes, Five Regions, Alaska, 2007-2010. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1790 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/1790
issued: 2023-02-21T09:34:43.823215
modified: 2024-04-09T13:08:12.426354
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Lakes
keyword: Methane
keyword: Synthetic Aperture Radar
keyword: Ebullition
landing page: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Land cover classification
type: Distribution
description: for Mackenzie Delta (Canada)
format: Geotiff
issued: 2019-02-21T14:23:54.832046
modified: 2021-11-01T11:08:49.355992
media type: image/tiff

SNAP Data Portal
type: Agent

DARTS_NitzeEtAl_v1_features_2018_2023_level1.gpkg
type: Distribution
description: Footprints of RTS and ALD features, processed on individual image scenes
format: GPKG
issued: 2024-10-24T11:01:10.574813
modified: 2024-10-24T11:03:06.360654
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Ad24033c0-0d5a-4b66-a4ff-a2a5bd05e277

Permafrost_incubation_1.tab
type: Distribution
format: TXT
issued: 2023-04-11T16:02:17.382950
modified: 2023-04-11T16:02:50.535566
access URL: https://doi.pangaea.de/10.1594/PANGAEA.905905

Bolin Centre Database
type: Agent

OberleF_2019.zip
type: Distribution
description: Zipped file containing .tab data files
format: ZIP
issued: 2024-03-27T14:11:52.765237
modified: 2024-03-27T14:11:52.747034
access URL: https://doi.pangaea.de/10.1594/PANGAEA.898636

Publication this dataset is a supplement to
type: Distribution
description: Nitze, I.; Heidler, K.; Barth, S.; Grosse, G. Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps. Remote Sens. 2021, 13, 4294. https://doi.org/10.3390/rs13214294
format: HTML
issued: 2022-03-30T09:32:56.514415
modified: 2022-03-30T09:32:56.772291
access URL: https://doi.org/10.3390/rs13214294

Algorithm Theoretical Basis Document
type: Distribution
format: PDF
issued: 2022-11-18T13:12:04.022156
modified: 2022-11-18T13:34:09.666640
access URL: https://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd/atbd_wfmd.pdf

Surface Soil Moisture from ENVISAT ASAR GM, 2005-2011, Ob Estuary and Yamal Peninsula, Western Siberia (RU)
type: Dataset
description: The SAR Surface Soil Moisture (SSM) product is derived from the ENVISAT ASAR sensor operating in Global Monitoring (GM) mode. The SAR SSM product is a weekly mean composite at 1 km spatial resolution for the years 2005 to 2011. The SAR Surface Soil Moisture parameter represents a relative measure of the soil moisture in the top layer of the soil, scaled between references corresponding approximately to wilting level (0%) and field capacity (100%). In addition to the SSM maps, quality indicator maps provide information on the number of individual SSM retrievals that were averaged in order to achieve the corresponding weekly SSM composites. More information about the image processing and SSM retrieval can be found in the product guide. This dataset is part of the ESA Data User Element (DUE) Permafrost Full Product Set (doi:10.1594/PANGAEA.780111).
issued: 2018-08-07T13:53:50.435361
modified: 2024-03-25T10:44:54.481088
spatial: Location
version info: 2.0
contact point: Organization
  fn: Annett Bartsch
keyword: Permafrost
keyword: ENVISAT ASAR GM
keyword: Surface Soil Moisture
landing page: https://doi.pangaea.de/10.1594/PANGAEA.779658

TCVIS-2003-2022 Mosaic West Cloud Optimized GeoTIFF (COG)
type: Distribution
description: Size: 124 GBytes
format: Geotiff
issued: 2024-03-25T14:56:58.824843
modified: 2024-03-27T13:18:34.395192
media type: image/tiff

lake hydrochemistry NW-CA CSV
type: Distribution
description: CSV-file created from lake hydrochemistry NW-CA TAB (fixed longitude errors) __Citation:__ Fritz, Michael; Lantuit, Hugues; Wetterich, Sebastian (2021): Inorganic and organic hydrochemistry of lakes and ponds in continuous permafrost landscapes in the western Canadian Arctic. PANGAEA, https://doi.org/10.1594/PANGAEA.935012
format: csv-geo-au
issued: 2023-08-11T09:48:31.120142
modified: 2023-08-11T09:48:31.094659
access URL: https://apgc.awi.de/dataset/1f85915d-371a-4bca-a430-f467a0a3e38f/resource/bfba39c2-d30d-4a6a-9546-1b1fb9d87f91/download/fritz-etal_2021_lake-hydrochem-nw-ca.csv
byte size: 19622
media type: text/csv

Permafrost active layer thickness for the Northern Hemisphere, v4.0 from MODIS LST, ERA5, 1997-2021
type: Dataset
description: This dataset contains v4.0 permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. Case A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. Case B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2021 using a pixel-specific statistics for each day of the year. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Westermann, S.; Barboux, C.; Bartsch, A.; Delaloye, R.; Grosse, G.; Heim, B.; Hugelius, G.; Irrgang, A.; Kääb, A.M.; Matthes, H.; Nitze, I.; Pellet, C.; Seifert, F.M.; Strozzi, T.; Wegmüller, U.; Wieczorek, M.; Wiesmann, A. (2024): ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v4.0. NERC EDS Centre for Environmental Data Analysis, 24 April 2024. doi:10.5285/d34330ce3f604e368c06d76de1987ce5. https://dx.doi.org/10.5285/d34330ce3f604e368c06d76de1987ce5
issued: 2024-05-29T14:38:03.325494
modified: 2024-09-05T07:10:14.639937
spatial: Location
version info: v4.0
contact point: Organization
  fn: Westermann, Sebastian
keyword: Active Layer Thickness
keyword: Permafrost
keyword: CCI
landing page: https://dx.doi.org/10.5285/20ec12f5d1f94e99aff2ed796264ee65

PB_Water_Chemistry_Summary_2012.xlsx
type: Distribution
format: XLSX
issued: 2023-03-16T11:35:27.941758
modified: 2023-03-16T11:36:21.458819
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/urn%3Auuid%3Ad853579a-bd7f-4f9e-8e0c-cb87d184f511

Toolik zipped shapefile
type: Distribution
description: Must sign in to ORNL DAAC to download
format: SHP
issued: 2023-02-21T09:49:13.509564
modified: 2023-02-21T09:55:09.611202
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Rockglacier and Slope Instability Inventory from differential SAR interferograms and optical imagery, 1998-2016, Western Swiss Alps (CH)
type: Dataset
description: Rockglaciers and other periglacial processes were mapped using visual analysis of differential SAR interferograms and satellite optical images (Google Satellite, Bing Aerial) between 1998 and 2016. Every object is assigned a process type (rockglacier, landslide etc.) and state-of-activity. State-of-activity indicates surface deformation rates in cm per year. ### Acknowledgement Thanks to the University of Fribourg for its contributions to this inventory.
issued: 2019-02-20T14:02:26.573252
modified: 2024-03-25T10:42:06.643995
spatial: Location
version info: 1.0
contact point: Organization
  fn: Strozzi, Tazio
keyword: Permafrost
keyword: Rockglaciers
keyword: InSAR

2001 Extent data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2001-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T13:36:30.637706
modified: 2024-05-29T13:43:45.164408
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2001-fv04.0.nc

Land Cover Classification from Sentinel-1 and Sentinel-2, 2015-2018, Mackenzie Delta, Beaufort Sea Region (CA)
type: Dataset
description: Land cover classes have been derived from bands of Sentinel-2 (bands 3 (green, 10m), 4 (red, 10m), 8 (near infrared, 10m), 11 (SWIR, 20m) and 12 (SWIR, 20m)) as well as Sentinel-1 VV (IW mode) using a combined approach of unsupervised and supervised classification. The dataset comprises the classification result as well as the signature file for the Maximum Likelihood Classification. Covered areas are: Western Siberia (Russia), Barrow (Alaska), Teshekpuk (Alaska), Mackenzie Delta (Canada), Umiuaq (Canada), Kytalyk (Russia), Lena Delta (Russia), Seward peninsula (Alaska), Yukon Delta (Alaska). For more information see the product guide.
issued: 2019-02-21T14:21:51.491275
modified: 2023-06-05T13:34:31.766438
spatial: Location
version info: 1.0
contact point: Organization
  fn: Bartsch, Annett
keyword: Sentinel-1
keyword: Sentinel-2
keyword: Permafrost
keyword: Land Cover
landing page: https://doi.pangaea.de/10.1594/PANGAEA.897916

Global-Gridded Daily Methane Emissions from Inland Dam-Reservoir Systems, 2002-2015
type: Dataset
description: This dataset includes global maps of methane (CH4) emissions from inland dam-reservoir systems at 0.25-degree spatial resolution. Daily emission rates (as grams of CH4 per day per total area of grid cell) were estimated for boreal, temperate, and subtropical-tropical eco-climatic domains and total emissions. The annual duration of the emission season is based on freeze-thaw cycles of these water bodies as applicable. In addition, the dataset includes the total fractional area of reservoirs in each grid cell. These estimates will promote understanding of the current and future role of reservoirs in the global CH4 budget and guide efforts to mitigate reservoir-related CH4 emissions. These emission estimates are climatological; one daily value for each day of year (n=365) is provided for each grid cell. Modeled estimates were based on daily mean inputs, averaged over 2002 to 2015. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Johnson, M. S. et al. (2021). Spatiotemporal methane emission from global reservoirs. Journal of Geophysical Research: Biogeosciences, 126, e2021JG006305. https://doi.org/10.1029/2021JG006305 This dataset is openly shared, without restriction, in accordance with the [EOSDIS Data Use Policy](https://earthdata.nasa.gov/earth-observation-data/data-use-policy?_ga=2.88701406.419703260.1676448349-1262327661.1663154735).
identifier: DOI: 10.3334/ORNLDAAC/1918
issued: 2023-02-01T11:15:11.047312
modified: 2023-03-07T10:54:55.316534
spatial: Location
version info: 1.0
contact point: Organization
  fn: ORNL DAAC
keyword: Emissions
keyword: Reservoirs
keyword: Freshwater Ecosystems
keyword: Methane
landing page: https://doi.org/10.3334/ORNLDAAC/1918

Anaerobic incubation measurements (CH4+CO2) and microbe quantification, Lena Delta, 2018
type: Dataset
description: The data sets were made during the summer 2021, with samples collected from three cores, at two depths (active and permafrost layers). In total, six samples (3 replicates by samples) were incubated for 67 days at two temperatures (4°C and 20°C). Core sampling were performed during the joint Russian-German LENA 2018 expedition. The data sets were both collected at Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research and GeoForschungsZentrum Helmholtz-Zentrum, Potsdam, Germany. The aim of this study was to understand and quantify how much carbon may be lost during short-term permafrost thaw across different landscape units at the example of study area in the Lena Delta, Siberia. The study measures greenhouse gases (GHG) emissions based on an incubation experiment and focuses on relationships between GHG emissions and microbial abundance shifts during short-term permafrost thaw under anaerobic conditions. The objectives of the study were to: (1) Quantify CH4 and CO2 production during a short-term anaerobic incubation; (2) Establish relationships between CH4 and CO2 production and microbes (methanogens and methanotrophs); (3) and to identify settings and controls that drive gas production rates in thawed permafrost soils.
identifier: DOI: 10.1594/PANGAEA.945685
issued: 2023-07-05T08:28:44.347250
modified: 2024-04-09T12:35:34.070554
spatial: Location
  geometry: POINT (126.3146 72.3560)
version info: 1.0
contact point: Organization
  fn: Laurent, Mélissa
keyword: Carbon Dioxide
keyword: Methanogen
keyword: Methane
keyword: Soil Incubation
keyword: Permafrost
keyword: Methanotroph
landing page: https://doi.org/10.1594/PANGAEA.945685

carve_GroundISGA_L2_b23_20111231_20160115004906.nc
type: Distribution
description: 2011 Tower data | Must sign in to ORNL DAAC to download
format: NetCDF
issued: 2023-03-01T12:49:59.406564
modified: 2023-03-01T12:50:40.857540
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Methane data from Barrow 1986-2017
type: Distribution
format: TXT
issued: 2022-09-20T09:24:43.907322
modified: 2022-09-20T09:33:50.313080
access URL: https://doi.pangaea.de/10.1594/PANGAEA.898628

Preview
type: Distribution
format: PNG
issued: 2018-04-19T16:24:42.485164
modified: 2021-11-01T11:08:06.291246

MAGT classes (KMZ file)
type: Distribution
format: KMZ
issued: 2019-02-20T10:04:31.856639
modified: 2021-11-01T11:09:09.254125
access URL: https://apgc.awi.de/uploads/datasets/UiO_PEX_MAGT_CLASSES_5.0_20181205_2000_2016_AND_NZ_AFR.kmz
media type: application/vnd.google-earth.kmz

Preview
type: Distribution
description: Xu, J., Morris, P. J., Liu, J. and Holden, J.: PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis, CATENA, 160, 134–140, doi:https://doi.org/10.1016/j.catena.2017.09.010, 2018.
format: JPEG
issued: 2023-03-16T11:28:59.255106
modified: 2023-03-16T11:28:59.235088
byte size: 69791
media type: image/jpeg

TCVIS-2003-2022 Mosaic East Cloud Optimized GeoTIFF (COG)
type: Distribution
description: Size: 174.2 GBytes
format: Geotiff
issued: 2024-03-25T14:56:58.824841
modified: 2024-03-27T13:18:34.395073
media type: image/tiff

science_metadata.xml
type: Distribution
format: XML
issued: 2023-03-14T12:14:18.332474
modified: 2023-03-14T12:14:46.256905
access URL: https://arcticdata.io/metacat/d1/mn/v2/object/doi%3A10.18739%2FA29K97

geomorphic land cover classes
type: Distribution
description: geotiff
format: Geotiff
issued: 2020-04-29T08:48:40.454448
modified: 2021-11-01T11:09:10.376272
media type: image/tiff

Pan-Arctic thermokarst lagoon distribution, area and classification from Landsat images, 1984 to 2021
type: Dataset
description: Thermokarst lagoons develop in permafrost lowlands along the ice-rich Arctic coast when thermokarst lakes or basins with bottom elevations at or below sea level are breached by the sea due to erosion, sea-level rise, or connection via drainage channels. Thermokarst lagoons, as dynamic landforms at the interface of terrestrial permafrost and marine systems, play a crucial role in the transformation of permafrost carbon under rising marine influence. Here we present a comprehensive dataset consisting of the first manual thermokarst lagoon area mapping, a more precise number of thermokarst lagoons and a detailed lagoon classification for thermokarst lagoons along the pan-Arctic coast from Taymyr Peninsula in Russia to the Tuktoyaktuk Peninsula in Canada.\r\n\r\nThis is an updated dataset based on the previous work of Jenrich et al. 2021 and Jenrich et al. 2023. The main improvements include (1) counting thermokarst lagoons individually within a lagoon system, as long as the distinct round form of former lake basins is visible; (2) manually calculating the area for all mapped thermokarst lagoons based on the updated Global Surface Water Dataset from 1984-2021 by Pekel et al., 2016; and (3) classifying lagoons based on connectivity to the sea into 5 connectivity classes. We identified 520 thermokarst lagoons covering an area of 3457 km2.\r\n\r\nMethods: Pan-Arctic thermokarst lagoon distribution and area were mapped using QGIS version 3.34 and Google Earth Engine. The updated Global Surface Water Dataset by Pekel et al., 2016, based on Landsat-5, -7, and -8 satellite images from 1984-2021, was used to create masks with a threshold of >75% based on water occurrence, which enabled the manual splitting of polygons from the resulting mask vector data and extraction of thermokarst lagoon areas. Mapping and area extraction also relied on Sentinel-2 imagery from 2023/07/01-2023/08/30, basemaps Google Satellite and ESRI Satellite, and the digital elevation model ArcticDEM and it…
issued: 2024-09-20T09:57:22.165595
modified: 2024-09-20T10:02:25.109257
spatial: Location
version info: 2
contact point: Organization
  fn: Jenrich, Maren
keyword: Connectivity
keyword: Lagoon size
keyword: Permafrost
keyword: Permafrost coasts
keyword: Thermokarst Lagoon
keyword: Classification
landing page: https://doi.org/10.1594/PANGAEA.968886

caltech DATA
type: Agent

BGC_Soil_Incubation_Data_V1_TR_20160722.csv
type: Distribution
format: CSV
issued: 2023-03-29T14:06:15.247170
modified: 2023-03-29T14:06:19.372125
checksum: Checksum
access URL: https://ngee.ornl.gov/ngeedata/CO2_CH4_prod_low_temp_soil_incubations/data/BGC_Soil_Incubation_Data_V1_TR_20160722.csv
media type: text/csv

2001 Active Layer Thickness data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2001-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:38:03.331641
modified: 2024-09-05T07:05:54.864158
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2001-fv04.0.nc

Atqasuk kml file
type: Distribution
description: Must sign in to ORNL DAAC to download
format: KML
issued: 2023-02-21T09:57:15.555632
modified: 2023-02-21T09:57:45.277342
access URL: https://daac.ornl.gov/cgi-bin/dsviewer.pl

Publication - this dataset is a supplement to
type: Distribution
description: Hugelius, G., Bockheim, J. G., Camill, P., Elberling, B., Grosse, G., Harden, J. W., Johnson, K., Jorgenson, T., Koven, C. D., Kuhry, P., Michaelson, G., Mishra, U., Palmtag, J., Ping, C.-L., O'Donnell, J., Schirrmeister, L., Schuur, E. A. G., Sheng, Y., Smith, L. C., Strauss, J., and Yu, Z.: A new data set for estimating organic carbon storage to 3 m depth in soils of the northern circumpolar permafrost region, Earth Syst. Sci. Data, 5, 393-402, https://doi.org/10.5194/essd-5-393-2013, 2013.
format: HTML
issued: 2019-01-31T13:50:13.612689
modified: 2021-11-01T11:08:59.648136
access URL: https://doi.org/10.5194/essd-5-393-2013

Hydrographic (CTD) profiles during 4 expeditions from spring to fall in 2019, Mackenzie Delta Region (CA)
type: Dataset
description: During Leg 1, the CTD (CTD RBR Maestro) was manually lowered in the water through an ice hole with a velocity of less than 0.3 ms-1 and an acquisition frequency of 6 Hz, yielding a vertical resolution of a few centimetres. During legs 2 to 4, the CTD (CTD RBR Concerto) was installed on a Seabird Scientific optical package frame, which was deployed with a velocity of 0.3 m s-1 and an acquisition frequency of 8 Hz. Only data from downcasts were used and poor quality profiles, that had been affected by ice-covered sensors, were removed. Atmospheric pressure observed at weather stations near the sampling locations (Aklavik, Inuvik, Shingle Point and Tuktoyaktuk) was used to tare the CTD pressure sensors. CTD profiles were smoothed and binned to a regular 0.01 m depth grid.
issued: 2023-06-05T14:25:34.608079
modified: 2023-06-07T09:25:20.770382
spatial: Location
version info: 1.0
contact point: Organization
  fn: Bécu, Guislain
keyword: Biogeochemistry
keyword: Mackenzie
keyword: Hydrographic data
keyword: Biooptics
keyword: Coastal waters
landing page: https://doi.org/10.1594/PANGAEA.937567

WP4 Mackenzie 2019 phytoplankton pigment concentrations HPLC surface water
type: Distribution
format: TXT
issued: 2023-06-08T14:53:23.074440
modified: 2023-06-08T15:04:01.867235
access URL: https://doi.pangaea.de/10.1594/PANGAEA.937585

Product Guide
type: Distribution
format: PDF
issued: 2018-08-07T11:52:58.340541
modified: 2021-11-01T11:08:03.350278
access URL: http://epic.awi.de/30304/1/ESA_DUE_Permafrost_SAR_SSM_version2_product_guide_v1.0.pdf

Preview
type: Distribution
format: PNG
issued: 2023-06-02T08:08:06.597010
modified: 2023-06-02T08:08:06.575257
byte size: 645469
media type: image/png

CO2_inversion_1990-2019.csv
type: Distribution
format: CSV
issued: 2023-04-11T12:02:39.474370
modified: 2023-04-11T12:02:43.154860
checksum: Checksum
access URL: https://zenodo.org/record/5089799/files/CO2_inversion_1990-2019.csv

Product Guide
type: Distribution
format: PDF
issued: 2019-01-31T08:43:05.848926
modified: 2021-11-01T11:07:42.182125
access URL: https://store.pangaea.de/Publications/WidhalmB-etal_2019/ESA_GlobPermafrost_PD_CSP_CLAPOL_20170930_V1.0.pdf
media type: application/pdf

Preview
type: Distribution
description: Taken from: Manning, Cara C M; Zheng, Zhiyin; Fenwick, Lindsay; McCulloch, Ross D; Damm, Ellen; Izett, Robert W; Williams, William J; Zimmermann, Sarah; Vagle, Svein; Tortell, Philippe Daniel (2022): Interannual variability in methane and nitrous oxide concentrations and sea‐air fluxes across the North American Arctic Ocean (2015–2019). Global Biogeochemical Cycles, 36, e2021GB007185, https://doi.org/10.1029/2021GB007185
format: JPEG
issued: 2023-04-11T08:17:57.070328
modified: 2023-04-11T08:17:57.317054
byte size: 146831
media type: image/jpeg

Preview
type: Distribution
format: PNG
issued: 2019-02-21T14:22:19.919824
modified: 2021-11-01T11:08:49.355755
byte size: 380899
media type: image/png

Radiocarbon content of CO2, CH4, DOC and particulate organic carbon from the northern permafrost region
type: Dataset
description: The dataset includes 14C measurements of CO2, CH4, DOC and POC mostly from the northern permafrost region. Some other studies are included from sites not underlained by permafrost. The dataset focuses on 14C measurements of gaseous soil emissions and waterborne ecosystem C fluxes but the database also included C forms belowground, such as soil gases and pore water DOC. ### __Citation__ __In order to use these data, you must cite this data set with the following citation:__ Estop-Aragonés, C., Olefeldt, D., Abbott, B. W., Chanton, J. P., Czimczik, C. I., Dean, J. F., et al. (2020). Assessing the potential for mobilization of old soil carbon after permafrost thaw: A synthesis of 14C measurements from the northern permafrost region. Global Biogeochemical Cycles, 34, e2020GB006672. https://doi.org/10.1029/2020GB006672
identifier: DOI: 10.5281/zenodo.3832031
issued: 2023-02-28T10:29:43.473120
modified: 2023-06-29T14:22:05.219412
spatial: Location
version info: 1.0
contact point: Organization
  fn: Estop-Aragonés, Cristian
keyword: Particulate Organic Carbon
keyword: Carbon Dioxide
keyword: Permafrost thaw
keyword: Dissolved Organic Carbon
keyword: Radiocarbon
keyword: Methane
landing page: https://zenodo.org/record/3832031#.Y_3Uw17MJZf

2001 Ground Temperature data
type: Distribution
description: [subset](https://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2001-fv04.0.nc.html)
format: NetCDF
issued: 2024-05-29T14:35:18.253863
modified: 2024-05-29T14:35:18.225185
access URL: https://dap.ceda.ac.uk/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0/ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-2001-fv04.0.nc