@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix gsp: <http://www.opengis.net/ont/geosparql#> .
@prefix locn: <http://www.w3.org/ns/locn#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://apgc.awi.de/dataset/9edc544f-4049-4add-9a82-49db5b145711> a dcat:Dataset ;
    dct:description """This data collection contains 40 years of monthly mean daytime AVHRR  Global Area Coverage (GAC)  land surface temperature (LST) data. This dataset covers the 1981-2020 perdiod and covers the whole globe above 50° latitude. The spatial extent of the dataset is the following : (-180°, 50°N) ; (180°, 90°N)\r
\r
The LST monthly mean composites are computed from daily daytime LST files, that were generated from the EUMETSAT AVHRR PyGAC FDR (https://navigator.eumetsat.int/product/EO:EUM:DAT:0862) as described in Dupuis et al. (2024). These daily LST files contain only cloud-free pixels and pixels with sufficient quality regarding satellite zenith angle and error margin from the radiative transfer modelling. The probabilistic cloud mask from the CLARA-A3 (https://navigator.eumetsat.int/product/EO:EUM:DAT:0874) dataset has been used. The LST monthly means do not contain any water masks, as potential users might have different requirements regarding water masks. The dataset has been validated against in situ data from the SURFRAD (https://gml.noaa.gov/grad/surfrad/overview.html), ARM (https://arm.gov/capabilities/observatories/nsa) and KIT (https://www.imk-asf.kit.edu/english/skl_stations.php) networks.\r
\r
AVHRR GAC LST daytime monthly mean composites: daily land surface temperature data are averaged to monthly composites for every afternoon and mid-day satellite (10 different satellites).\r
\r
Satellite identifiers:\r
AVN07 : NOAA 7\r
AVN09 : NOAA 9\r
AVN11 : NOAA 11\r
AVN14 : NOAA 14\r
AVN16 : NOAA 16\r
AVN18 : NOAA 18\r
AVN19 : NOAA 19\r
AVMEA : MetOp-A\r
AVMEB : MetOp-B\r
AVMEC : MetOp-C\r
\r
The LST files are available as a gridded product in the WGS84 coordinate reference system and are distributed as NetCDF files. The dataset covers the pan-Arctic region (-180°, 90°, 180°, 50°) at a spatial resolution of 0.05°x0.05° pixel size.\r
Each *.nc file contains one variable (LST) with three dimensions (time, lat, lon) and five coordinates (time, lat, lon, band and spatial_ref).\r
\r
###Citation\r
\r
Dupuis, S., Wunderle, S., & Göttsche, F. (2024). 40-year monthly mean AVHRR GAC Land Surface Temperature data for the Pan-Arctic region (Pan-Arctic AVHRR LST) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13361744\r
\r
Dupuis, S., Göttsche, F.-M., & Wunderle, S. (2024). Temporal stability of a new 40-year daily AVHRR land surface temperature dataset for the pan-Arctic region. The Cryosphere, 18(12), 6027-6059. https://doi.org/10.5194/tc-18-6027-2024\r
\r
###Information about funding sources that supported the collection of the data:\r
\r
Dr. Alfred Bretscher Fund (University of Bern)""" ;
    dct:identifier "DOI:10.5281/zenodo.13361744" ;
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    dct:title "40-year monthly mean AVHRR GAC Land Surface Temperature data for the Pan-Arctic region (Pan-Arctic AVHRR LST)" ;
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<https://apgc.awi.de/dataset/9edc544f-4049-4add-9a82-49db5b145711/resource/8e4b2ba2-a281-4fe3-a55e-4b2de5b72f0d> a dcat:Distribution ;
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<https://apgc.awi.de/dataset/9edc544f-4049-4add-9a82-49db5b145711/resource/c7e26a17-aa1b-4ffb-a3d8-6af744ce2f52> a dcat:Distribution ;
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<https://apgc.awi.de/dataset/9edc544f-4049-4add-9a82-49db5b145711/resource/d6e4eb6e-c99c-4f8c-bcb6-c45163365718> a dcat:Distribution ;
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<https://apgc.awi.de/dataset/9edc544f-4049-4add-9a82-49db5b145711/resource/e5810a08-9791-46cc-928a-fcbca7be5d8a> a dcat:Distribution ;
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<https://apgc.awi.de/dataset/9edc544f-4049-4add-9a82-49db5b145711/resource/e89c2217-1649-4e0a-8edc-60cf2c63faa5> a dcat:Distribution ;
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<https://apgc.awi.de/dataset/9edc544f-4049-4add-9a82-49db5b145711/resource/f0c593a2-3901-4cd9-b01b-d880d5c14a18> a dcat:Distribution ;
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<https://apgc.awi.de/dataset/9edc544f-4049-4add-9a82-49db5b145711/resource/f1a3d622-d717-4e6f-9222-b116c3e6bfdc> a dcat:Distribution ;
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