deltares_data
gadm
uri:

geography/gadm/version4_1/gadm_level0.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_0.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level1
uri:

geography/gadm/version4_1/gadm_level1.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_1.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level2
uri:

geography/gadm/version4_1/gadm_level2.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_2.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level3
uri:

geography/gadm/version4_1/gadm_level3.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_3.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

osm_coastlines
uri:

geography/osm/osm_coastlines-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -78.733, ‘East’: 180.0, ‘North’: 90.0}}

notes:

OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

osm_landareas
uri:

geography/osm/osm_landareas-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.666}}

notes:

OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

grwl_mask
uri:

hydrography/grwl/tindex.gpkg

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

0

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

gswo
uri:

hydrography/gswo/occur.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

nodata:

255

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

url:

https://global-surface-water.appspot.com/download

hydro_basin_atlas_level12
uri:

hydrography/hydro_atlas/basin_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.988, ‘East’: 180.001, ‘North’: 83.626}}

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-019-0300-6

paper_ref:

Linke et al. (2019)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_lake_atlas_pol
uri:

hydrography/hydro_atlas/lake_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.865, ‘East’: 180.0, ‘North’: 83.576}}

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-022-01425-z

paper_ref:

Lehner et al. (2022)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_river_atlas
uri:

hydrography/hydro_atlas/river_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.998, ‘South’: -55.877, ‘East’: 179.998, ‘North’: 83.59}}

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-019-0300-6

paper_ref:

Linke et al. (2019)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_rivers_lin
uri:

hydrography/rivers_lin2019/rivers_ge30m.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

extent:

{‘bbox’: {‘West’: -177.204, ‘South’: -55.414, ‘East’: 180.237, ‘North’: 82.112}}

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

processing_notes:

hydrography/rivers_lin2019/README

url:

https://zenodo.org/record/3552776#.YVbOrppByUk

license:

CC-BY-NC 4.0

corine
uri:

landuse/corine/CLC2018_CLC2018_V2018_20.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: 900000.0, ‘South’: 900000.0, ‘East’: 7400000.0, ‘North’: 5500000.0}}

url:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018

author:

European Environment Agency

license:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata

esa_worldcover
uri:

landuse/esa_worldcover/esa-worldcover.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 84.0}, ‘time_range’: {‘start’: ‘2020-01-01’, ‘end’: ‘2020-12-31’}}

processing_notes:

prepare vrt file with gdalbuildvrt

url:

https://doi.org/10.5281/zenodo.5571936

license:

CC BY 4.0

globcover
uri:

landuse/globcover/GLOBCOVER_L4_200901_200912_V2.3.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -64.999, ‘East’: 179.999, ‘North’: 90.001}}

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

url:

p://due.esrin.esa.int/page_globcover.php

license:

CC-BY-3.0

modis_lai
uri:

landuse/modis/MODIS_MCD15A3H_LAI/\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.004, ‘South’: -90.002, ‘East’: 180.004, ‘North’: 90.002}}

paper_doi:

10.5067/MODIS/MCD15A3H.006

paper_ref:

Myneni et al (2015)

processing_notes:

this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’

processing_script:

{‘GEE_script’: ‘landuse/modis/MODIS_MCD15A3H_LAI/GEE_MODIS_LAI.js’, ‘merge_script’: ‘landuse/modis/MODIS_MCD15A3H_LAI/merge_rasters_GEE_LAI.py’}

url:

https://lpdaac.usgs.gov/products/mcd15a3hv006/

license:

https://lpdaac.usgs.gov/data/data-citation-and-policies/

simard
uri:

landuse/simard/sdat_10023_canopy_height_simard.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

url:

https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=10023

vito_2015
uri:

landuse/vito/ProbaV_LC100_epoch2015_global_v2.0.2_discrete-classification_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2016
uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2016-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3518026

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2017
uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2017-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3518036

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2018
uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2018-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3518038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2019
uri:

landuse/vito/ProbaV_LC100_global_v3.0.1_2019-nrt_discrete-classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3939050

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

glofas_era5
uri:

hydro/glofas_era5/glofas_v31_{year}.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘1980-01-01’, ‘end’: ‘2021-05-31’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

processing_script:

hydro/glofas_era5/glofas_cds_get.py

url:

https://doi.org/10.24381/cds.a4fdd6b9

license:

https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf

glofas_uparea
uri:

hydro/glofas_era5/glofas_v31_uparea.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 90.0}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

url:

https://doi.org/10.24381/cds.a4fdd6b9

license:

https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf

SM2RAIN_ASCAT_monthly_025
uri:

meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_025_2007_2020.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘2007-01-01’, ‘end’: ‘2020-12-01’}}

notes:

crs guessed as it is neither mentioned in the data nor in the literature, 0.25-degree resolution

paper_doi:

10.5194/essd-11-1583-2019

paper_ref:

Brocca et al. (2019)

url:

https://zenodo.org/record/4570192#.YueKJWNByUl

license:

https://creativecommons.org/licenses/by/4.0/legalcode

SM2RAIN_ASCAT_monthly_05
uri:

meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_05_2007_2020.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘2007-01-01’, ‘end’: ‘2020-12-01’}}

notes:

crs guessed as it is neither mentioned in the data nor in the literature, 0.5-degree resolution

paper_doi:

10.5194/essd-11-1583-2019

paper_ref:

Brocca et al. (2019)

url:

https://zenodo.org/record/4570192#.YueKJWNByUl

license:

https://creativecommons.org/licenses/by/4.0/legalcode

chelsa
uri:

meteo/chelsa_clim_v1.2/CHELSA_bio10_12.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

url:

p://chelsa-climate.org/downloads/

license:

CC BY 4.0

chirps
uri:

meteo/chirps_africa_daily_v2.0/CHIRPS_rainfall_{year}.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -20.0, ‘South’: -40.0, ‘East’: 55.0, ‘North’: 40.0}, ‘time_range’: {‘start’: ‘1981-01-02’, ‘end’: ‘2022-04-01’}}

paper_doi:

10.1038/sdata.2015.66

paper_ref:

Funk et al (2015)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

chirps_global
uri:

meteo/chirps_global_daily_v2.0/chirps-v2.0.{year}.days_p05.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -50.0, ‘East’: 180.0, ‘North’: 50.0}, ‘time_range’: {‘start’: ‘1981-01-02’, ‘end’: ‘2023-02-01’}}

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

era5
uri:

meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-02’, ‘end’: ‘2023-11-30’}}

notes:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency using right label for time.

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

processing_script:

https://github.com/Deltares/hydromt/blob/main/data/src/era5_download_resample_convert.py

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5
uri:

meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-02’, ‘end’: ‘2023-11-30’}}

notes:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency using right label for time.

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

processing_script:

https://github.com/Deltares/hydromt/blob/main/data/src/era5_download_resample_convert.py

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly
uri:

meteo/era5.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2023-03-01’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.adbb2d47

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly
uri:

meteo/era5.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2023-03-01’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.adbb2d47

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_orography
uri:

meteo/era5/meta/era5_orography_2018.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘2018-01-01’, ‘end’: ‘2018-01-01’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://apps.ecmwf.int/codes/grib/param-db?id=129

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

koppen_geiger
uri:

meteo/climate_classification_v2017/Map_KG-Global.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

0

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

url:

p://koeppen-geiger.vu-wien.ac.at/present.htm

worldclim
uri:

meteo/worldclim_v2.0/wc2.0_30s_prec.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-999.0

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

url:

https://www.worldclim.org/data/worldclim21.html

era5_ocean
uri:

ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.25, ‘South’: -90.25, ‘East’: 359.75, ‘North’: 90.25}, ‘time_range’: {‘start’: ‘1979-01-01’, ‘end’: ‘2022-04-08’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

gdp_world
uri:

socio_economic/gdp_world/World_countries_GDPpcPPP.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.665}}

processing_notes:

data combined by Deltares (Wilfred Altena) from World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD) and CIA World Factbook (https://www.cia.gov/the-world-factbook/field/real-gdp-per-capita/country-comparison)

author:

Wilfred Altena

license:

CC BY-4.0

ghs_pop_2015
uri:

socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_4326_9ss_V1_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -59.485, ‘East’: 180.0, ‘North’: 83.628}}

paper_doi:

10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

paper_ref:

Schiavina et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

ghs_pop_2015_54009
uri:

socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_54009_250_V1_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

url:

https://ghsl.jrc.ec.europa.eu/download.php?ds=pop

license:

CC BY 4.0

ghs_smod_2015
uri:

socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

ghs_smod_2015
uri:

socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

glw_buffaloes
uri:

socio_economic/glw/5_Bf_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

notes:

last downloaded 2020-06-11

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_cattle
uri:

socio_economic/glw/5_Ct_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_chicken
uri:

socio_economic/glw/5_Ch_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_ducks
uri:

socio_economic/glw/5_Dk_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_goats
uri:

socio_economic/glw/5_Gt_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_horses
uri:

socio_economic/glw/5_Ho_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_pigs
uri:

socio_economic/glw/5_Pg_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_sheeps
uri:

socio_economic/glw/5_Sh_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

guf_bld_2012
uri:

infrastructure/guf/GUF04_DLR_v02.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -65.0, ‘East’: 180.0, ‘North’: 85.0}}

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

url:

p://www.dlr.de/guf

license:

https://www.dlr.de/eoc/en/PortalData/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf

wb_countries
uri:

geography/wb/WB_countries_Admin0.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -59.473, ‘East’: 180.0, ‘North’: 83.634}}

timestamp:

February 2020

url:

https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries

author:

World Bank

license:

CC-BY 4.0

worldpop_2020_constrained
uri:

socio_economic/worldpop/ppp_2020_constrained.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.985, ‘East’: 180.0, ‘North’: 83.628}}

nodata:

-99999

paper_doi:

10.1371/journal.pone.0107042

paper_ref:

Stevens et al. (2015)

processing_script:

socio_economic/worldpop/src/

url:

https://www.worldpop.org/doi/10.5258/SOTON/WP00684

license:

CC BY 4.0

wsf_bld_2015
uri:

infrastructure/wsf/WSF2015_v1_EPSG4326.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.1038/s41597-020-00580-5

paper_ref:

Marconcini at al (2020)

url:

https://un-spider.org/links-and-resources/data-sources/world-settlement-footprint-2015-wsf-dlr-eoc

license:

CC0 1.0

copdem30
uri:

topography/copdem/copdem.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

-9999

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

copdem30_mask
uri:

topography/copdem/copdem_mask.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

-1

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

copdem30_masked
uri:

topography/copdem/copdem_masked.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

dtu10mdt
uri:

topography/dtu10mdt/DTU10MDT_1min_float32.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM2008

extent:

{‘bbox’: {‘West’: -179.992, ‘South’: -89.992, ‘East’: 179.992, ‘North’: 89.992}}

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

dtu10mdt_egm96
uri:

topography/dtu10mdt/DTU10MDT_1min_egm96.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM96

extent:

{‘bbox’: {‘West’: -179.992, ‘South’: -89.985, ‘East’: 179.995, ‘North’: 89.992}}

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

processing_notes:

/topography/dtu10mdt/READ_ME.txt

processing_script:

/topography/dtu10mdt/DTU10MDT_egm96_1min.ipynb

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

fabdem
uri:

topography/fabdem/fabdem.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

CC BY-NC-SA 4.0

paper_ref:

Hawker et al. (2022)

url:

https://data.bris.ac.uk/data/dataset/25wfy0f9ukoge2gs7a5mqpq2j7

license:

CC BY-NC-SA 4.0

gebco
uri:

bathymetry/gebco/gebco.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+MSL

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.5285/a29c5465-b138-234d-e053-6c86abc040b9

paper_ref:

Weatherall et al (2020)

processing_script:

bathymetry/gebco/gebco_tiles.ipynb

url:

https://www.bodc.ac.uk/data/hosted_data_systems/gebco_gridded_bathymetry_data/

license:

https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1

mdt_cnes_cls18
uri:

topography/mdt_cnes_cls18/MDT_CNES_CLS18_global_filled.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+GOCO05S

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

processing_script:

topography/mdt_cnes_cls18/convert_lon_fill_mdt.ipynb

url:

https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html

merit
uri:

topography/merit/merit.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.1002/2017GL072874

paper_ref:

Yamazaki et al. (2018)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro
uri:

topography/merit_hydro/\*.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

processing_notes:

create vrt file with gdalbuildvrt; additional variables for stream-order, basin index (basins), and slope (lndslp) derived with pyflwdir

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro_ihu
uri:

topography/merit_hydro_ihu/30sec/\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (2021)

source_doi:

10.5281/zenodo.5166932

processing_notes:

topography/merit_hydro_ihu/README

url:

https://zenodo.org/record/5166932#.YVbxJ5pByUk

license:

ODC-By 1.0

merit_hydro_ihu_index
uri:

topography/merit_hydro_ihu/30sec/basins.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.025, ‘South’: -59.467, ‘East’: 190.35, ‘North’: 83.683}}

paper_doi:

10.5194/hess-25-5287-2021

paper_ref:

Eilander et al. (2021)

processing_notes:

topography/merit_hydro_ihu/README

url:

https://zenodo.org/record/5166932#.YVbxJ5pByUk

license:

CC-BY-NC 4.0

merit_hydro_index
uri:

topography/merit_hydro/basin_index.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.028, ‘South’: -59.46, ‘East’: 190.338, ‘North’: 83.661}}

paper_doi:

10.5194/hess-25-5287-2021

paper_ref:

Eilander et al. (2021)

license:

CC-BY-NC 4.0

merit_hydro_patch
uri:

topography/merit_hydro/patches/\*.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

processing_script:

topography/merit_hydro/patches/scripts

processing_notes:

local corrections of flow direction raster and re-derive the related maps (basins, uparea, strord)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

gcn250
uri:

landuse/gcn250/GCN250_\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -56.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

255

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

url:

https://doi.org/10.6084/m9.figshare.7756202.v1

license:

CC BY 4.0

grdc
uri:

hydro/grdc/GRDC_Stations.csv

data_type:

GeoDataFrame

driver:

GeoDataFrameTableDriver

crs:

4326

notes:

GRDC-Station Catalogue, last downloaded 2020-07-16

url:

https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/StationCatalogue

license:

https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/210_prtl/tou.html;jsessionid=A56D50D4A36D3D8707CBF00CBD71F106.live11291?nn=2862854

grip_roads
uri:

infrastructure/grip/GRIP4_world.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.999, ‘South’: -55.055, ‘East’: 180.0, ‘North’: 73.836}}

paper_ref:

Meijer et al, 2018

paper_doi:

10.1088/1748-9326/aabd42

processing_script:

infrastructure/grip/merge.ipynb

url:

https://www.globio.info/download-grip-dataset

license:

CC0-1.0

grwl
uri:

hydrography/grwl/GRWL_vector_V01.01/grwl.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -54.31, ‘East’: 180.0, ‘North’: 82.311}}

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

hydro_lakes
uri:

hydrography/lakes/lake-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.865, ‘East’: 180.0, ‘North’: 83.576}}

processing_notes:

extract of hydrolakes to only include natural lakes and exclude reservoirs and control lakes (ie filter on Lake_type = 1)

author:

HydroSHEDS

hydro_reservoirs
uri:

hydrography/reservoirs/reservoir-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -153.059, ‘South’: -45.881, ‘East’: 176.825, ‘North’: 70.396}}

nodata:

-99

notes:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

processing_notes:

combined not natural lakes from HydroLAKES v10 (Lake_type != 1) with reservoirs attributes from GRanD v1.1

author:

Alessia Matano

pcr_globwb
uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb
uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb
uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb
uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

rgi
uri:

hydrography/rgi/rgi.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.921, ‘South’: -78.309, ‘East’: 179.751, ‘North’: 83.608}}

notes:

Randolph Glacier Inventory

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview

license:

CC BY 4.0

soilgrids
uri:

soil/soilgrids_v1.0/\*_250m_ll.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

notes:

soilthickness is based on 1) soilgrids (global) and 2) dataset for Eurasia (ESDAC, 2004; Panagos et al., 2012): ESDAC, 2004. The european soil database distribution version 2.0, european commission and the European soil bureau network. esdac.jrc.ec.europa.eu, accessed: 2017-11-17. Panagos, P., Van Liedekerke, M., Jones, A., Montanarella, L., 2012. European soil data centre: Response to european policy support and public data requirements. Land Use Policy 29 (2), 329–338.

paper_doi:

10.1371/journal.pone.0169748

paper_ref:

Hengl et al. (2017)

processing_notes:

soilthickness is based on 1) soilgrids (global, depth to bedrock - BDRICM variable) and 2) dataset for Eurasia

processing_script:

p:/wflow_global/static_data/wflow_sbm_parameters/

url:

https://www.isric.org/explore/soilgrids/faq-soilgrids-201

license:

ODbL

worldpop_2020_UNadj_constrained
uri:

socio_economic/worldpop/ppp_2020_UNadj_constrained.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.985, ‘East’: 180.0, ‘North’: 83.628}}

processing_script:

socio_economic/worldpop/src/

SM2RAIN_ASCAT_monthly_025
uri:

meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_025_2007_2020.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘2007-01-01’, ‘end’: ‘2020-12-01’}}

category:

meteo

notes:

crs guessed as it is neither mentioned in the data nor in the literature, 0.25-degree resolution

paper_doi:

10.5194/essd-11-1583-2019

paper_ref:

Brocca et al. (2019)

url:

https://zenodo.org/record/4570192#.YueKJWNByUl

license:

https://creativecommons.org/licenses/by/4.0/legalcode

SM2RAIN_ASCAT_monthly_05
uri:

meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_05_2007_2020.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘2007-01-01’, ‘end’: ‘2020-12-01’}}

category:

meteo

notes:

crs guessed as it is neither mentioned in the data nor in the literature, 0.5-degree resolution

paper_doi:

10.5194/essd-11-1583-2019

paper_ref:

Brocca et al. (2019)

url:

https://zenodo.org/record/4570192#.YueKJWNByUl

license:

https://creativecommons.org/licenses/by/4.0/legalcode

chelsa
uri:

meteo/chelsa_clim_v1.2/CHELSA_bio10_12.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

category:

meteo

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

url:

p://chelsa-climate.org/downloads/

license:

CC BY 4.0

chirps
uri:

meteo/chirps_africa_daily_v2.0/CHIRPS_rainfall_{year}.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -20.0, ‘South’: -40.0, ‘East’: 55.0, ‘North’: 40.0}, ‘time_range’: {‘start’: ‘1981-01-02’, ‘end’: ‘2022-04-01’}}

category:

meteo

paper_doi:

10.1038/sdata.2015.66

paper_ref:

Funk et al (2015)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

chirps_global
uri:

meteo/chirps_global_daily_v2.0/chirps-v2.0.{year}.days_p05.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -50.0, ‘East’: 180.0, ‘North’: 50.0}, ‘time_range’: {‘start’: ‘1981-01-02’, ‘end’: ‘2023-02-01’}}

category:

meteo

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

copdem30
uri:

topography/copdem/copdem.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

-9999

category:

topography

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

copdem30_mask
uri:

topography/copdem/copdem_mask.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

-1

category:

topography

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

copdem30_masked
uri:

topography/copdem/copdem_masked.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

category:

topography

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

corine
uri:

landuse/corine/CLC2018_CLC2018_V2018_20.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: 900000.0, ‘South’: 900000.0, ‘East’: 7400000.0, ‘North’: 5500000.0}}

category:

landuse

url:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018

author:

European Environment Agency

license:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata

dtu10mdt
uri:

topography/dtu10mdt/DTU10MDT_1min_float32.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM2008

extent:

{‘bbox’: {‘West’: -179.992, ‘South’: -89.992, ‘East’: 179.992, ‘North’: 89.992}}

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

dtu10mdt_egm96
uri:

topography/dtu10mdt/DTU10MDT_1min_egm96.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM96

extent:

{‘bbox’: {‘West’: -179.992, ‘South’: -89.985, ‘East’: 179.995, ‘North’: 89.992}}

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

processing_notes:

/topography/dtu10mdt/READ_ME.txt

processing_script:

/topography/dtu10mdt/DTU10MDT_egm96_1min.ipynb

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs
uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

era5
uri:

meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-02’, ‘end’: ‘2023-11-30’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency using right label for time.

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

processing_script:

https://github.com/Deltares/hydromt/blob/main/data/src/era5_download_resample_convert.py

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5
uri:

meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-02’, ‘end’: ‘2023-11-30’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency using right label for time.

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

processing_script:

https://github.com/Deltares/hydromt/blob/main/data/src/era5_download_resample_convert.py

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly
uri:

meteo/era5.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2023-03-01’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.adbb2d47

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly
uri:

meteo/era5.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2023-03-01’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.adbb2d47

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_ocean
uri:

ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.25, ‘South’: -90.25, ‘East’: 359.75, ‘North’: 90.25}, ‘time_range’: {‘start’: ‘1979-01-01’, ‘end’: ‘2022-04-08’}}

category:

ocean

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_orography
uri:

meteo/era5/meta/era5_orography_2018.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘2018-01-01’, ‘end’: ‘2018-01-01’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://apps.ecmwf.int/codes/grib/param-db?id=129

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

esa_worldcover
uri:

landuse/esa_worldcover/esa-worldcover.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 84.0}, ‘time_range’: {‘start’: ‘2020-01-01’, ‘end’: ‘2020-12-31’}}

category:

landuse

processing_notes:

prepare vrt file with gdalbuildvrt

url:

https://doi.org/10.5281/zenodo.5571936

license:

CC BY 4.0

fabdem
uri:

topography/fabdem/fabdem.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

topography

paper_doi:

CC BY-NC-SA 4.0

paper_ref:

Hawker et al. (2022)

url:

https://data.bris.ac.uk/data/dataset/25wfy0f9ukoge2gs7a5mqpq2j7

license:

CC BY-NC-SA 4.0

gadm
uri:

geography/gadm/version4_1/gadm_level0.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

category:

geography

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_0.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level1
uri:

geography/gadm/version4_1/gadm_level1.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

category:

geography

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_1.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level2
uri:

geography/gadm/version4_1/gadm_level2.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

category:

geography

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_2.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level3
uri:

geography/gadm/version4_1/gadm_level3.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

category:

geography

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_3.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gcn250
uri:

landuse/gcn250/GCN250_\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -56.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

255

category:

soil

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

url:

https://doi.org/10.6084/m9.figshare.7756202.v1

license:

CC BY 4.0

gdp_world
uri:

socio_economic/gdp_world/World_countries_GDPpcPPP.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.665}}

category:

socio-economic

processing_notes:

data combined by Deltares (Wilfred Altena) from World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD) and CIA World Factbook (https://www.cia.gov/the-world-factbook/field/real-gdp-per-capita/country-comparison)

author:

Wilfred Altena

license:

CC BY-4.0

gebco
uri:

bathymetry/gebco/gebco.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+MSL

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

topography

paper_doi:

10.5285/a29c5465-b138-234d-e053-6c86abc040b9

paper_ref:

Weatherall et al (2020)

processing_script:

bathymetry/gebco/gebco_tiles.ipynb

url:

https://www.bodc.ac.uk/data/hosted_data_systems/gebco_gridded_bathymetry_data/

license:

https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1

ghs_pop_2015
uri:

socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_4326_9ss_V1_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -59.485, ‘East’: 180.0, ‘North’: 83.628}}

category:

socio-economic

paper_doi:

10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

paper_ref:

Schiavina et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

ghs_pop_2015_54009
uri:

socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_54009_250_V1_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

category:

socio-economic

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

url:

https://ghsl.jrc.ec.europa.eu/download.php?ds=pop

license:

CC BY 4.0

ghs_smod_2015
uri:

socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

category:

socio-economic

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

ghs_smod_2015
uri:

socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

category:

socio-economic

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

globcover
uri:

landuse/globcover/GLOBCOVER_L4_200901_200912_V2.3.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -64.999, ‘East’: 179.999, ‘North’: 90.001}}

category:

landuse

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

url:

p://due.esrin.esa.int/page_globcover.php

license:

CC-BY-3.0

glofas_era5
uri:

hydro/glofas_era5/glofas_v31_{year}.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘1980-01-01’, ‘end’: ‘2021-05-31’}}

category:

hydro

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

processing_script:

hydro/glofas_era5/glofas_cds_get.py

url:

https://doi.org/10.24381/cds.a4fdd6b9

license:

https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf

glofas_uparea
uri:

hydro/glofas_era5/glofas_v31_uparea.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

hydro

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

url:

https://doi.org/10.24381/cds.a4fdd6b9

license:

https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf

glw_buffaloes
uri:

socio_economic/glw/5_Bf_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

notes:

last downloaded 2020-06-11

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_cattle
uri:

socio_economic/glw/5_Ct_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_chicken
uri:

socio_economic/glw/5_Ch_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_ducks
uri:

socio_economic/glw/5_Dk_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_goats
uri:

socio_economic/glw/5_Gt_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_horses
uri:

socio_economic/glw/5_Ho_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_pigs
uri:

socio_economic/glw/5_Pg_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_sheeps
uri:

socio_economic/glw/5_Sh_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

grdc
uri:

hydro/grdc/GRDC_Stations.csv

data_type:

GeoDataFrame

driver:

GeoDataFrameTableDriver

crs:

4326

category:

observed data

notes:

GRDC-Station Catalogue, last downloaded 2020-07-16

url:

https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/StationCatalogue

license:

https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/210_prtl/tou.html;jsessionid=A56D50D4A36D3D8707CBF00CBD71F106.live11291?nn=2862854

grip_roads
uri:

infrastructure/grip/GRIP4_world.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.999, ‘South’: -55.055, ‘East’: 180.0, ‘North’: 73.836}}

category:

road

paper_ref:

Meijer et al, 2018

paper_doi:

10.1088/1748-9326/aabd42

processing_script:

infrastructure/grip/merge.ipynb

url:

https://www.globio.info/download-grip-dataset

license:

CC0-1.0

grwl
uri:

hydrography/grwl/GRWL_vector_V01.01/grwl.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -54.31, ‘East’: 180.0, ‘North’: 82.311}}

category:

surface water

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

grwl_mask
uri:

hydrography/grwl/tindex.gpkg

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

0

category:

hydrography

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

gswo
uri:

hydrography/gswo/occur.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

nodata:

255

category:

hydrography

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

url:

https://global-surface-water.appspot.com/download

guf_bld_2012
uri:

infrastructure/guf/GUF04_DLR_v02.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -65.0, ‘East’: 180.0, ‘North’: 85.0}}

category:

socio-economic

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

url:

p://www.dlr.de/guf

license:

https://www.dlr.de/eoc/en/PortalData/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf

hydro_basin_atlas_level12
uri:

hydrography/hydro_atlas/basin_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.988, ‘East’: 180.001, ‘North’: 83.626}}

category:

hydrography

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-019-0300-6

paper_ref:

Linke et al. (2019)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_lake_atlas_pol
uri:

hydrography/hydro_atlas/lake_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.865, ‘East’: 180.0, ‘North’: 83.576}}

category:

hydrography

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-022-01425-z

paper_ref:

Lehner et al. (2022)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_lakes
uri:

hydrography/lakes/lake-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.865, ‘East’: 180.0, ‘North’: 83.576}}

category:

surface water

processing_notes:

extract of hydrolakes to only include natural lakes and exclude reservoirs and control lakes (ie filter on Lake_type = 1)

author:

HydroSHEDS

hydro_reservoirs
uri:

hydrography/reservoirs/reservoir-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -153.059, ‘South’: -45.881, ‘East’: 176.825, ‘North’: 70.396}}

nodata:

-99

category:

surface water

notes:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

processing_notes:

combined not natural lakes from HydroLAKES v10 (Lake_type != 1) with reservoirs attributes from GRanD v1.1

author:

Alessia Matano

hydro_river_atlas
uri:

hydrography/hydro_atlas/river_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.998, ‘South’: -55.877, ‘East’: 179.998, ‘North’: 83.59}}

category:

hydrography

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-019-0300-6

paper_ref:

Linke et al. (2019)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_rivers_lin
uri:

hydrography/rivers_lin2019/rivers_ge30m.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

extent:

{‘bbox’: {‘West’: -177.204, ‘South’: -55.414, ‘East’: 180.237, ‘North’: 82.112}}

category:

hydrography

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

processing_notes:

hydrography/rivers_lin2019/README

url:

https://zenodo.org/record/3552776#.YVbOrppByUk

license:

CC-BY-NC 4.0

koppen_geiger
uri:

meteo/climate_classification_v2017/Map_KG-Global.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

0

category:

meteo

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

url:

p://koeppen-geiger.vu-wien.ac.at/present.htm

mdt_cnes_cls18
uri:

topography/mdt_cnes_cls18/MDT_CNES_CLS18_global_filled.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+GOCO05S

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

topography

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

processing_script:

topography/mdt_cnes_cls18/convert_lon_fill_mdt.ipynb

url:

https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html

merit
uri:

topography/merit/merit.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

topography

paper_doi:

10.1002/2017GL072874

paper_ref:

Yamazaki et al. (2018)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro
uri:

topography/merit_hydro/\*.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

processing_notes:

create vrt file with gdalbuildvrt; additional variables for stream-order, basin index (basins), and slope (lndslp) derived with pyflwdir

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro_ihu
uri:

topography/merit_hydro_ihu/30sec/\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (2021)

source_doi:

10.5281/zenodo.5166932

processing_notes:

topography/merit_hydro_ihu/README

url:

https://zenodo.org/record/5166932#.YVbxJ5pByUk

license:

ODC-By 1.0

merit_hydro_ihu_index
uri:

topography/merit_hydro_ihu/30sec/basins.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.025, ‘South’: -59.467, ‘East’: 190.35, ‘North’: 83.683}}

category:

topography

paper_doi:

10.5194/hess-25-5287-2021

paper_ref:

Eilander et al. (2021)

processing_notes:

topography/merit_hydro_ihu/README

url:

https://zenodo.org/record/5166932#.YVbxJ5pByUk

license:

CC-BY-NC 4.0

merit_hydro_index
uri:

topography/merit_hydro/basin_index.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.028, ‘South’: -59.46, ‘East’: 190.338, ‘North’: 83.661}}

category:

topography

paper_doi:

10.5194/hess-25-5287-2021

paper_ref:

Eilander et al. (2021)

license:

CC-BY-NC 4.0

merit_hydro_patch
uri:

topography/merit_hydro/patches/\*.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

processing_script:

topography/merit_hydro/patches/scripts

processing_notes:

local corrections of flow direction raster and re-derive the related maps (basins, uparea, strord)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

modis_lai
uri:

landuse/modis/MODIS_MCD15A3H_LAI/\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.004, ‘South’: -90.002, ‘East’: 180.004, ‘North’: 90.002}}

category:

landuse

paper_doi:

10.5067/MODIS/MCD15A3H.006

paper_ref:

Myneni et al (2015)

processing_notes:

this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’

processing_script:

{‘GEE_script’: ‘landuse/modis/MODIS_MCD15A3H_LAI/GEE_MODIS_LAI.js’, ‘merge_script’: ‘landuse/modis/MODIS_MCD15A3H_LAI/merge_rasters_GEE_LAI.py’}

url:

https://lpdaac.usgs.gov/products/mcd15a3hv006/

license:

https://lpdaac.usgs.gov/data/data-citation-and-policies/

osm_coastlines
uri:

geography/osm/osm_coastlines-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -78.733, ‘East’: 180.0, ‘North’: 90.0}}

category:

geography

notes:

OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

osm_landareas
uri:

geography/osm/osm_landareas-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.666}}

category:

geography

notes:

OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

pcr_globwb
uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

category:

water demand

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb
uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

category:

water demand

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb
uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

category:

water demand

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb
uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

category:

water demand

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

rgi
uri:

hydrography/rgi/rgi.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.921, ‘South’: -78.309, ‘East’: 179.751, ‘North’: 83.608}}

category:

surface water

notes:

Randolph Glacier Inventory

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview

license:

CC BY 4.0

simard
uri:

landuse/simard/sdat_10023_canopy_height_simard.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

landuse

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

url:

https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=10023

soilgrids
uri:

soil/soilgrids_v1.0/\*_250m_ll.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

soil

notes:

soilthickness is based on 1) soilgrids (global) and 2) dataset for Eurasia (ESDAC, 2004; Panagos et al., 2012): ESDAC, 2004. The european soil database distribution version 2.0, european commission and the European soil bureau network. esdac.jrc.ec.europa.eu, accessed: 2017-11-17. Panagos, P., Van Liedekerke, M., Jones, A., Montanarella, L., 2012. European soil data centre: Response to european policy support and public data requirements. Land Use Policy 29 (2), 329–338.

paper_doi:

10.1371/journal.pone.0169748

paper_ref:

Hengl et al. (2017)

processing_notes:

soilthickness is based on 1) soilgrids (global, depth to bedrock - BDRICM variable) and 2) dataset for Eurasia

processing_script:

p:/wflow_global/static_data/wflow_sbm_parameters/

url:

https://www.isric.org/explore/soilgrids/faq-soilgrids-201

license:

ODbL

vito_2015
uri:

landuse/vito/ProbaV_LC100_epoch2015_global_v2.0.2_discrete-classification_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2016
uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2016-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3518026

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2017
uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2017-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3518036

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2018
uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2018-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3518038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2019
uri:

landuse/vito/ProbaV_LC100_global_v3.0.1_2019-nrt_discrete-classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3939050

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

wb_countries
uri:

geography/wb/WB_countries_Admin0.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -59.473, ‘East’: 180.0, ‘North’: 83.634}}

category:

socio-economic

timestamp:

February 2020

url:

https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries

author:

World Bank

license:

CC-BY 4.0

worldclim
uri:

meteo/worldclim_v2.0/wc2.0_30s_prec.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-999.0

category:

meteo

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

url:

https://www.worldclim.org/data/worldclim21.html

worldpop_2020_UNadj_constrained
uri:

socio_economic/worldpop/ppp_2020_UNadj_constrained.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.985, ‘East’: 180.0, ‘North’: 83.628}}

processing_script:

socio_economic/worldpop/src/

worldpop_2020_constrained
uri:

socio_economic/worldpop/ppp_2020_constrained.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.985, ‘East’: 180.0, ‘North’: 83.628}}

nodata:

-99999

category:

socio-economic

paper_doi:

10.1371/journal.pone.0107042

paper_ref:

Stevens et al. (2015)

processing_script:

socio_economic/worldpop/src/

url:

https://www.worldpop.org/doi/10.5258/SOTON/WP00684

license:

CC BY 4.0

wsf_bld_2015
uri:

infrastructure/wsf/WSF2015_v1_EPSG4326.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

socio-economic

paper_doi:

10.1038/s41597-020-00580-5

paper_ref:

Marconcini at al (2020)

url:

https://un-spider.org/links-and-resources/data-sources/world-settlement-footprint-2015-wsf-dlr-eoc

license:

CC0 1.0

artifact_data
gadm_level1
uri:

gadm_level1.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level2
uri:

gadm_level2.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level3
uri:

gadm_level3.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

osm_coastlines
uri:

osm_coastlines.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

info:

OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29

osm_landareas
uri:

osm_landareas.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

info:

OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29

hydro_rivers_lin
uri:

rivers_lin2019_v1.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

processing_notes:

hydrography/rivers_lin2019/README

url:

https://zenodo.org/record/3552776#.YVbOrppByUk

license:

CC-BY-NC 4.0

chelsa
uri:

chelsa.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

url:

p://chelsa-climate.org/downloads/

license:

CC BY 4.0

chirps_global
uri:

chirps_global.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

eobs
uri:

eobs.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

eobs_orography.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

era5
uri:

era5.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

history:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_daily_zarr
uri:

era5_daily_zarr.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

history:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly
uri:

era5_hourly.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly_zarr
uri:

era5_hourly_zarr.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_orography
uri:

era5_orography.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

koppen_geiger
uri:

koppen_geiger.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

nodata:

0

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

url:

p://koeppen-geiger.vu-wien.ac.at/present.htm

worldclim
uri:

worldclim.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

url:

https://www.worldclim.org/data/worldclim21.html

gtsmv3_eu_era5
uri:

gtsmv3_eu_era5.nc

data_type:

GeoDataset

driver:

GeoDatasetXarrayDriver

crs:

4326

paper_doi:

10.24381/cds.8c59054f

paper_ref:

Copernicus Climate Change Service 2019

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/10.24381/cds.8c59054f?tab=overview

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

wb_countries
uri:

wb_countries.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

author:

World Bank

timestamp:

February 2020

url:

https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries

license:

CC-BY 4.0

dtu10mdt
uri:

dtu10mdt.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM2008

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

dtu10mdt_egm96
uri:

dtu10mdt_egm96.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM96

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

gebco
uri:

gebco.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+MSL

paper_doi:

10.5285/a29c5465-b138-234d-e053-6c86abc040b9

paper_ref:

Weatherall et al (2020)

url:

https://www.bodc.ac.uk/data/open_download/gebco/gebco_2020/geotiff/

license:

https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1

mdt_cnes_cls18
uri:

mdt_cnes_cls18.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+GOCO05S

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

url:

https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html

merit_hydro
uri:

merit_hydro/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro_ihu
uri:

merit_hydro_1k/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

url:

https://doi.org/10.5281/zenodo.4138776

license:

CC-BY-NC 4.0

merit_hydro_index
uri:

merit_hydro_index.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

license:

CC-BY-NC 4.0

corine
uri:

corine.tif

data_type:

RasterDataset

driver:

RasterioDriver

url:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018

author:

European Environment Agency

license:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata

gcn250
uri:

gcn250/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

255

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

url:

https://doi.org/10.6084/m9.figshare.7756202.v1

license:

CC BY 4.0

gdp_world
uri:

gdp_world.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

author:

Wilfred Altena

license:

CC BY-4.0

info:

data combined from World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD) and CIA World Factbook (https://www.cia.gov/the-world-factbook/field/real-gdp-per-capita/country-comparison)

ghs_pop_2015
uri:

ghs_pop_2015.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

paper_ref:

Schiavina et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

ghs_pop_2015_54009
uri:

ghs_pop_2015_54009.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

url:

https://ghsl.jrc.ec.europa.eu/download.php?ds=pop

license:

CC BY 4.0

ghs_smod_2015
uri:

ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

ghs_smod_2015
uri:

ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

globcover_2009
uri:

globcover.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

url:

p://due.esrin.esa.int/page_globcover.php

license:

CC-BY-3.0

glw_buffaloes
uri:

glw_buffaloes.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_cattle
uri:

glw_cattle.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_chicken
uri:

glw_chicken.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_ducks
uri:

glw_ducks.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_goats
uri:

glw_goats.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_horses
uri:

glw_horses.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_pigs
uri:

glw_pigs.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_sheep
uri:

glw_sheep.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

grdc
grip_roads
uri:

grip_roads.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

paper_doi:

10.1088/1748-9326/aabd42

paper_ref:

Meijer et al, 2018

url:

https://www.globio.info/download-grip-dataset

license:

CC0-1.0

grwl
uri:

grwl.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

grwl_mask
uri:

grwl_tindex.gpkg

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

0

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

gswo
uri:

gswo.tif

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

255

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

url:

https://global-surface-water.appspot.com/download

guf_bld_2012
uri:

guf_bld_2012.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

url:

p://www.dlr.de/guf

license:

https://www.dlr.de/eoc/en/PortalData/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf

hydro_lakes
uri:

hydro_lakes.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

author:

Arjen Haag

info:

HydroLAKES.v10_extract

hydro_reservoirs
uri:

hydro_reservoirs.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

nodata:

-99

author:

Alessia Matano

info:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

modis_lai
uri:

modis_lai.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

notes:

this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’

paper_doi:

10.5067/MODIS/MCD15A3H.006

paper_ref:

Myneni et al (2015)

url:

https://lpdaac.usgs.gov/products/mcd15a3hv006/

license:

https://lpdaac.usgs.gov/data/data-citation-and-policies/

rgi
uri:

rgi.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview

license:

CC BY 4.0

info:

Randolph Glacier Inventory

simard
uri:

simard.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

url:

https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=10023

soilgrids
uri:

soilgrids/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

notes:

soilthickness is based on 1) soilgrids (global) and 2) dataset for Eurasia (ESDAC, 2004; Panagos et al., 2012): ESDAC, 2004. The european soil database distribution version 2.0, european commission and the European soil bureau network. esdac.jrc.ec.europa.eu, accessed: 2017-11-17. Panagos, P., Van Liedekerke, M., Jones, A., Montanarella, L., 2012. European soil data centre: Response to european policy support and public data requirements. Land Use Policy 29 (2), 329–338.

paper_doi:

10.1371/journal.pone.0169748

paper_ref:

Hengl et al. (2017)

url:

https://www.isric.org/explore/soilgrids/faq-soilgrids-2017

license:

ODbL

vito_2015
uri:

vito.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

chelsa
uri:

chelsa.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

meteo

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

url:

p://chelsa-climate.org/downloads/

license:

CC BY 4.0

chirps_global
uri:

chirps_global.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

corine
uri:

corine.tif

data_type:

RasterDataset

driver:

RasterioDriver

category:

landuse & landcover

url:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018

author:

European Environment Agency

license:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata

dtu10mdt
uri:

dtu10mdt.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM2008

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

dtu10mdt_egm96
uri:

dtu10mdt_egm96.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM96

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

eobs
uri:

eobs.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography
uri:

eobs_orography.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

era5
uri:

era5.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

history:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_daily_zarr
uri:

era5_daily_zarr.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

history:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly
uri:

era5_hourly.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly_zarr
uri:

era5_hourly_zarr.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_orography
uri:

era5_orography.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

gadm_level1
uri:

gadm_level1.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level2
uri:

gadm_level2.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level3
uri:

gadm_level3.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gcn250
uri:

gcn250/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

255

category:

soil

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

url:

https://doi.org/10.6084/m9.figshare.7756202.v1

license:

CC BY 4.0

gdp_world
uri:

gdp_world.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

socio economic

author:

Wilfred Altena

license:

CC BY-4.0

info:

data combined from World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD) and CIA World Factbook (https://www.cia.gov/the-world-factbook/field/real-gdp-per-capita/country-comparison)

gebco
uri:

gebco.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+MSL

category:

topography

paper_doi:

10.5285/a29c5465-b138-234d-e053-6c86abc040b9

paper_ref:

Weatherall et al (2020)

url:

https://www.bodc.ac.uk/data/open_download/gebco/gebco_2020/geotiff/

license:

https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1

ghs_pop_2015
uri:

ghs_pop_2015.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

paper_ref:

Schiavina et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

ghs_pop_2015_54009
uri:

ghs_pop_2015_54009.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

category:

socio economic

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

url:

https://ghsl.jrc.ec.europa.eu/download.php?ds=pop

license:

CC BY 4.0

ghs_smod_2015
uri:

ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

category:

socio economic

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

ghs_smod_2015
uri:

ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

category:

socio economic

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

globcover_2009
uri:

globcover.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

landuse & landcover

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

url:

p://due.esrin.esa.int/page_globcover.php

license:

CC-BY-3.0

glw_buffaloes
uri:

glw_buffaloes.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_cattle
uri:

glw_cattle.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_chicken
uri:

glw_chicken.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_ducks
uri:

glw_ducks.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_goats
uri:

glw_goats.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_horses
uri:

glw_horses.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_pigs
uri:

glw_pigs.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_sheep
uri:

glw_sheep.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

grdc
uri:

grdc.csv

data_type:

GeoDataFrame

driver:

GeoDataFrameTableDriver

crs:

4326

category:

observed data

url:

https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/StationCatalogue

license:

https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/210_prtl/tou.html;jsessionid=A56D50D4A36D3D8707CBF00CBD71F106.live11291?nn=2862854

info:

GRDC-Station Catalogue, last downloaded 2020-07-16

grip_roads
uri:

grip_roads.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

road

paper_doi:

10.1088/1748-9326/aabd42

paper_ref:

Meijer et al, 2018

url:

https://www.globio.info/download-grip-dataset

license:

CC0-1.0

grwl
uri:

grwl.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

category:

surface water

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

grwl_mask
uri:

grwl_tindex.gpkg

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

0

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

gswo
uri:

gswo.tif

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

255

category:

surface water

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

url:

https://global-surface-water.appspot.com/download

gtsmv3_eu_era5
uri:

gtsmv3_eu_era5.nc

data_type:

GeoDataset

driver:

GeoDatasetXarrayDriver

crs:

4326

category:

ocean

paper_doi:

10.24381/cds.8c59054f

paper_ref:

Copernicus Climate Change Service 2019

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/10.24381/cds.8c59054f?tab=overview

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

guf_bld_2012
uri:

guf_bld_2012.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

url:

p://www.dlr.de/guf

license:

https://www.dlr.de/eoc/en/PortalData/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf

hydro_lakes
uri:

hydro_lakes.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

surface water

author:

Arjen Haag

info:

HydroLAKES.v10_extract

hydro_reservoirs
uri:

hydro_reservoirs.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

nodata:

-99

category:

surface water

author:

Alessia Matano

info:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

hydro_rivers_lin
uri:

rivers_lin2019_v1.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

category:

hydrography

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

processing_notes:

hydrography/rivers_lin2019/README

url:

https://zenodo.org/record/3552776#.YVbOrppByUk

license:

CC-BY-NC 4.0

koppen_geiger
uri:

koppen_geiger.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

nodata:

0

category:

meteo

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

url:

p://koeppen-geiger.vu-wien.ac.at/present.htm

mdt_cnes_cls18
uri:

mdt_cnes_cls18.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+GOCO05S

category:

topography

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

url:

https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html

merit_hydro
uri:

merit_hydro/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro_ihu
uri:

merit_hydro_1k/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

url:

https://doi.org/10.5281/zenodo.4138776

license:

CC-BY-NC 4.0

merit_hydro_index
uri:

merit_hydro_index.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

license:

CC-BY-NC 4.0

modis_lai
uri:

modis_lai.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

landuse & landcover

notes:

this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’

paper_doi:

10.5067/MODIS/MCD15A3H.006

paper_ref:

Myneni et al (2015)

url:

https://lpdaac.usgs.gov/products/mcd15a3hv006/

license:

https://lpdaac.usgs.gov/data/data-citation-and-policies/

osm_coastlines
uri:

osm_coastlines.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

info:

OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29

osm_landareas
uri:

osm_landareas.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

info:

OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29

rgi
uri:

rgi.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

surface water

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview

license:

CC BY 4.0

info:

Randolph Glacier Inventory

simard
uri:

simard.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

landuse & landcover

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

url:

https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=10023

soilgrids
uri:

soilgrids/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

soil

notes:

soilthickness is based on 1) soilgrids (global) and 2) dataset for Eurasia (ESDAC, 2004; Panagos et al., 2012): ESDAC, 2004. The european soil database distribution version 2.0, european commission and the European soil bureau network. esdac.jrc.ec.europa.eu, accessed: 2017-11-17. Panagos, P., Van Liedekerke, M., Jones, A., Montanarella, L., 2012. European soil data centre: Response to european policy support and public data requirements. Land Use Policy 29 (2), 329–338.

paper_doi:

10.1371/journal.pone.0169748

paper_ref:

Hengl et al. (2017)

url:

https://www.isric.org/explore/soilgrids/faq-soilgrids-2017

license:

ODbL

vito_2015
uri:

vito.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

landuse & landcover

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

wb_countries
uri:

wb_countries.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

socio-economic

author:

World Bank

timestamp:

February 2020

url:

https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries

license:

CC-BY 4.0

worldclim
uri:

worldclim.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

url:

https://www.worldclim.org/data/worldclim21.html

aws_data
esa_worldcover_2020_v100
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1.3.1

url:

https://console.cloud.google.com/marketplace/details/noaa-public/cmip6?_ga=2.136097265.-1784288694.1541379221&pli=1

license:

CC BY 4.0