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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsa_bioclim#dataset",
"name": "CHELSA-bioclim (V2.1)",
"description": "CHELSA-bioclim is a global, kilometer-scale climate dataset generated with the CHELSA downscaling model. It consists of bioclimatic variables and related predictors used in ecological and environmental analyses.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/canary-clim-canaries#dataset",
"name": "CHELSACanaryClim-climatologies (Canary Islands) (V1.0)",
"description": "CHELSACanaryClim-climatologies is a very-high-resolution climate dataset generated with the CHELSACanaryClim downscaling model. It consists of monthly climatologies of air temperature and precipitation for the Canary Islands.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsacerra-daily#dataset",
"name": "CHELSAcerra-daily (Europe) (V1.0)",
"description": "CHELSAcerra-daily is a high-resolution climate dataset for air temperatures generated with the CHELSA downscaling model using the Copernicus European Regional ReAnalysis (CERRA) for Europe.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsach-highres-climatologies#dataset",
"name": "CHELSAch-highres-climatologies (Switzerland) (V1.0)",
"description": "CHELSAch-highres-climatologies is a high-resolution climate dataset generated with the CHELSA downscaling model for Switzerland. It consists of long-term 30-year mean aggregated surface variables.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsach-highres_daily#dataset",
"name": "CHELSAch-highres-daily (Switzerland) (V1.0)",
"description": "CHELSAch-highres-daily is a high-resolution climate dataset generated with the CHELSA downscaling model for Switzerland. It consists of daily surface variables.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsa_climatologies#dataset",
"name": "CHELSA-climatologies (V2.1)",
"description": "CHELSA-climatologies is a global, kilometer-scale climate dataset generated with the CHELSA downscaling model. It consists of long-term climatological means.",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/CHELSA/chelsa_daily.jsonld
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsa_daily#dataset",
"name": "CHELSA-daily (V2.1)",
"description": "CHELSA-daily is a global, kilometer-scale climate dataset generated with the CHELSA downscaling model. It consists of daily surface variables summarized as daily means, minima, maxima, or (in some cases) daily accumulations.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsa_annual#dataset",
"name": "CHELSA-drought-indices (V2.1)",
"description": "CHELSA-drought-indices is a dataset that consists of standardized precipitation (SPI) and the standardized precipitation evapotranspiration index (SPEI) and related drought metrics.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsa_monthly#dataset",
"name": "CHELSA-monthly (V2.1)",
"description": "CHELSA-monthly is a global, kilometer-scale climate dataset generated with the CHELSA downscaling model. It consists of monthly aggregated surface variables summarized as monthly means or (in some cases) monthly accumulations.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsa-trace21k-centennial#dataset",
"name": "CHELSA-TraCE21k-centennial (V1.0)",
"description": "CHELSA-TraCE21k-centennial is a global, kilometer-scale climate dataset generated with the CHELSA-TraCE21k downscaling model. It consists of monthly climatologies summarized over centennial time steps from 21k BP to 0 BP.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsa-trace21k-centennial-bioclim#dataset",
"name": "CHELSA-TraCE21k-centennial-bioclim (V1.0)",
"description": "CHELSA-TraCE21k-centennial-bioclim is a global, kilometer-scale dataset generated with the CHELSA-TraCE21k downscaling model. It consists of bioclimatic and topographic variables summarized over centennial time steps from 21k BP to 0 BP.",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets/chelsaw5e5#dataset",
"name": "CHELSA-W5E5-daily (V2.0 / listed as V1.0 in catalog entry)",
"description": "CHELSA-W5E5-daily is a global, kilometer-scale climate dataset generated with the CHELSA downscaling model. It consists of daily surface variables summarized as daily means, minima, maxima, or (in some cases) daily accumulations.",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/CHELSA/datacatalog.jsonld
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{
"@context": "https://schema.org/",
"@type": "DataCatalog",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets#datacatalog",
"name": "CHELSA Climate Data Catalog",
"description": "CHELSA is a global, kilometer-scale climate dataset generated with the CHELSA downscaling model. It provides high-resolution climatological data for the earth's land surface areas, including daily and monthly variables, long-term climatological means, bioclimatic variables, and drought indices. The catalog also includes regional high-resolution products (e.g., Switzerland, Canary Islands), paleoclimate reconstructions (TraCE21k), and other derived products. Coverage includes global land surface areas and selected regional domains; temporal scope spans past (paleoclimate), present (including 1979 onward for many products), and future scenarios (where applicable).",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/CHELSA/webpage.jsonld
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{
"@context": "https://schema.org/",
"@type": "WebPage",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.chelsa-climate.org/datasets",
"name": "CHELSA Climate Datasets",
"alternateName": "CHELSA: Climatologies at high resolution for the earth's land surface areas",
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.earthenv.org/landcover#dataset",
"name": "Consensus Land Cover (Global 1-km Consensus Land Cover), Version 1.0",
"description": "A global 1-km (30 arc-second) consensus land-cover product for biodiversity and ecosystem modelling. The dataset integrates multiple global remote sensing-derived land-cover products and provides consensus prevalence (0–100%) for 12 land-cover classes at each grid cell. Two Version 1.0 variants are distributed: (1) Full v1.0 (with DISCover/GLCC), integrating GlobCover (2005–2006; v2.2), MODIS land-cover (MCD12Q1; v051), GLC2000 (v1.1), and DISCover/GLCC (v2; based on older imagery 1992–1993); and (2) Reduced v1.0 (without DISCover), integrating GlobCover, MODIS, and GLC2000 only, offered as an alternative for areas with substantial land-cover change in recent decades. Each variant contains 12 GeoTIFF layers (one per class). Values are unsigned 8-bit integers representing percent prevalence (0–100).",
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{
"@context": "https://schema.org/",
"@type": "WebPage",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://www.earthenv.org/landcover#webpage",
"name": "Global 1-km Consensus Land Cover",
"description": "Webpage for the Global 1-km Consensus Land Cover dataset, a global land-cover product that integrates multiple remote sensing-derived land-cover products and provides consensus information on the prevalence of 12 land-cover classes at 1-km resolution for biodiversity and ecosystem modeling. The dataset is available in two versions: Full Version 1.0 (with DISCover) and Reduced Version 1.0 (without DISCover), each containing 12 GeoTIFF layers representing consensus prevalence (0-100%) for different land-cover classes.",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/FLO1K/flo1k.jsonld
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"@vocab": "https://schema.org/"
},
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://doi.org/10.6084/m9.figshare.c.3890224.v1#dataset",
"name": "FLO1K: Global maps of mean, maximum and minimum annual streamflow at 1 km resolution (1960–2015)",
"url": "https://figshare.com/collections/FLO1K_global_maps_of_mean_maximum_and_minimum_annual_streamflow_at_1_km_resolution_from_1960_through_2015/3890224",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/FLO1K/webpage.jsonld
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{
"@context": "https://schema.org/",
"@type": "WebPage",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://figshare.com/collections/FLO1K_global_maps_of_mean_maximum_and_minimum_annual_streamflow_at_1_km_resolution_from_1960_through_2015/3890224",
"name": "FLO1K: Global maps of mean, maximum and minimum annual streamflow at 1 km resolution (1960–2015)",
"description": "Webpage for FLO1K on Figshare—global gridded mean, maximum and minimum annual streamflow at 1 km resolution, 1960–2015. By Barbarossa, Huijbregts, Beusen, Beck, King, Schipper. Published in Scientific Data (2018).",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/G-RUN/g-run.jsonld
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"@vocab": "https://schema.org/"
},
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://figshare.com/articles/dataset/GRUN_Global_Runoff_Reconstruction/9228176#dataset",
"name": "G-RUN (GRUN): Global Runoff Reconstruction",
"url": "https://figshare.com/articles/dataset/GRUN_Global_Runoff_Reconstruction/9228176",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/G-RUN/webpage.jsonld
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{
"@context": "https://schema.org/",
"@type": "WebPage",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://figshare.com/articles/dataset/GRUN_Global_Runoff_Reconstruction/9228176",
"name": "G-RUN (GRUN): Global Runoff Reconstruction",
"description": "Webpage for G-RUN (GRUN) on Figshare—global gridded monthly runoff reconstruction 1902–2014 at 0.5° resolution. By Gionata Ghiggi, Vincent Humphrey, Sonia I. Seneviratne, Lukas Gudmundsson (ETH Zurich). Published in Earth System Science Data (2019).",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/GFC/gfc.jsonld
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{
"@context": "https://schema.org/",
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://storage.googleapis.com/earthenginepartners-hansen/GFC-2023-v1.11/download.html#dataset",
"name": "Global Forest Change (GFC) 2000–2023 — GFC-2023-v1.11",
"description": "Global Forest Change (GFC) provides results from time-series analysis of Landsat imagery to characterize global forest extent and change from 2000 through 2023. The direct-download package is organized as 10×10 degree GeoTIFF tiles at ~30 m resolution (1 arc-second per pixel). Core layers include: tree canopy cover for year 2000 (percent canopy closure for vegetation >5 m), forest gain (2000–2012), year of gross forest cover loss (coded by loss year for 2001–2023), a data mask for land/water/no-data, and reference Landsat cloud-free composites for the first and last available years (typically ~2000 and ~2023) in red, NIR, SWIR1, and SWIR2 bands. Version 1.11 adds 2023 loss-year updates and updated multispectral imagery and includes methodological updates (including Landsat 8/9 use and reprocessing from 2011 onward).",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/GFC/webpage.jsonld
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{
"@context": "https://schema.org/",
"@type": "WebPage",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://storage.googleapis.com/earthenginepartners-hansen/GFC-2023-v1.11/download.html#webpage",
"name": "Global Forest Change 2000–2023 (GFC-2023-v1.11) — Data Download",
"description": "Download page for the Hansen/GLAD Global Forest Change (GFC) dataset version GFC-2023-v1.11. The page provides direct-download links for 10×10 degree GeoTIFF tiles and layer-wide URL lists for global forest extent and change products derived from time-series analysis of Landsat imagery, including year-2000 tree canopy cover, forest gain (2000–2012), annual forest loss year (2001–2023), a data mask, and reference Landsat composites for the first and last available years (typically ~2000 and ~2023). It also includes version 1.11 user notes, license/attribution guidance, and pointers to web visualization and Google Earth Engine access.",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/GHSL/ghsl.jsonld
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"@vocab": "https://schema.org/"
},
"@type": "Dataset",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://human-settlement.emergency.copernicus.eu/download.php#dataset",
"name": "GHSL (Global Human Settlement Layer)",
"url": "https://human-settlement.emergency.copernicus.eu/download.php",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/GHSL/webpage.jsonld
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{
"@context": "https://schema.org/",
"@type": "WebPage",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"@id": "https://human-settlement.emergency.copernicus.eu/download.php",
"name": "GHSL (Global Human Settlement Layer) — Download",
"description": "Download page for the Global Human Settlement Layer (GHSL): built-up areas, population and settlement data from European Commission JRC / Copernicus Emergency Management Service.",
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2 changes: 1 addition & 1 deletion data/objects/summoned/earthface/GPP_MOD17/gpp_mod17.jsonld
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"name": "GPP MOD17",
"url": "http://files.ntsg.umt.edu/data/NTSG_Products/MOD17/",
"description": "Global gross primary production (GPP) and net primary production (NPP) derived from the MOD17 algorithm and distributed by the Numerical Terradynamic Simulation Group (NTSG), University of Montana. Data are available via directory listing at the dataset URL and typically include multi-temporal MOD17 products (e.g., 8-day, monthly, annual) in common remote sensing / GIS formats.",
"comment": "This dataset metadata was generated by AI.",
"comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
"category": "ecosystem",
"keywords": [
"MOD17",
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