deltares_data

This data is only accessible when connected to the Deltares network.

gadm
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/gadm/gadm36_levels.gpkg

data_type:

GeoDataFrame

driver:

vector

notes:

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

source_author:

gadm

source_license:

https://gadm.org/license.html

source_url:

https://gadm.org/download_world.html

source_version:

3.6

osm_coastlines
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/osm/osm_coastlines-db.gpkg

data_type:

GeoDataFrame

driver:

vector

source_author:

OpenStreetMap

source_info:

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

source_license:

ODbL

source_url:

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

source_version:

1.0

osm_landareas
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/osm/osm_landareas-db.gpkg

data_type:

GeoDataFrame

driver:

vector

source_author:

OpenStreetMap

source_info:

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

source_license:

ODbL

source_url:

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

source_version:

1.0

grwl_mask
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/grwl/tindex.gpkg

data_type:

RasterDataset

driver:

raster_tindex

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.01

gswo
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/gswo/occur.vrt

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

source_url:

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

source_version:

v1_1_2019

rivers_lin2019_v1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/rivers_lin2019/rivers_ge30m.gpkg

data_type:

GeoDataFrame

driver:

vector

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

source_license:

CC-BY-NC 4.0

source_url:

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

source_version:

1

corine
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/corine/CLC2018_CLC2018_V2018_20.tif

data_type:

RasterDataset

driver:

raster

source_author:

European Environment Agency

source_license:

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

source_url:

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

source_version:

v.2020_20u1

esa_worldcover
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/esa-worldcover/esa-worldcover.vrt

data_type:

RasterDataset

driver:

raster

source_license:

CC BY 4.0

source_url:

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

source_version:

v100

globcover
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/globcover/GLOBCOVER_L4_200901_200912_V2.3.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

source_license:

CC-BY-3.0

source_url:

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

source_version:

v2.3

modis_lai
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/modis/MODIS_MCD15A3H_LAI/*.tif

data_type:

RasterDataset

driver:

raster

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)

source_license:

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

source_url:

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

source_version:

MCD15A3H V006

simard
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/simard/sdat_10023_canopy_height_simard.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

source_url:

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

vito
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/ProbaV_LC100_epoch2015_global_v2.0.2_discrete-classification_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v2.0.2

vito_2016_v3.0.1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2016-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.5281/zenodo.3518026

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v3.0.1

vito_2017_v3.0.1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2017-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.5281/zenodo.3518036

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v3.0.1

vito_2018_v3.0.1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2018-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.5281/zenodo.3518038

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v3.0.1

vito_2019_v3.0.1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/ProbaV_LC100_global_v3.0.1_2019-nrt_discrete-classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.5281/zenodo.3939050

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v3.0.1

glofas_era5_v31
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_{year}.nc

data_type:

RasterDataset

driver:

netcdf

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

source_license:

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

source_url:

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

source_version:

v31

glofas_uparea
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_uparea.tif

data_type:

RasterDataset

driver:

raster

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

source_license:

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

source_url:

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

source_version:

v31

chelsa
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/chelsa_clim_v1.2/CHELSA_bio10_12.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.2

chirps
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/chirps_africa_daily_v2.0/CHIRPS_rainfall_{year}.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1038/sdata.2015.66

paper_ref:

Funk et al (2015)

source_license:

CC

source_url:

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

source_version:

v2.0

chirps_global
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/chirps_global_daily_v2.0/chirps-v2.0.{year}.days_p05.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

source_license:

CC

source_url:

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

source_version:

v2.0

eobs
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/*/{variable}_ens_mean_0.1deg_reg_v22.0e.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

22.0e

eobs_orography
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v22.0e.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

22.0e

eobs_orography_v20.0e
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v20.0e.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

20.0e

eobs_orography_v23.1e
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v23.1e.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

23.1e

eobs_v23.1e
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/*/{variable}_ens_mean_0.1deg_reg_v23.1e.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

23.1e

era5
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5_daily/nc_merged/era5_*_daily.nc

data_type:

RasterDataset

driver:

netcdf

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)

source_license:

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

source_url:

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

source_version:

ERA5 daily data on pressure levels

era5_daily_zarr
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

zarr

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)

source_license:

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

source_url:

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

source_version:

ERA5 daily data on pressure levels

era5_hourly
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5/{variable}/era5_{variable}_{year}_hourly.nc

data_type:

RasterDataset

driver:

netcdf

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

source_version:

ERA5 hourly data on pressure levels

era5_hourly_zarr
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5.zarr

data_type:

RasterDataset

driver:

zarr

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

source_version:

ERA5 hourly data on pressure levels

era5_orography
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5/meta/era5_orography_2018.nc

data_type:

RasterDataset

driver:

netcdf

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

koppen_geiger
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/climate_classification_v2017/Map_KG-Global.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

source_url:

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

source_version:

2017

worldclim
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/worldclim_v2.0/wc2.0_30s_prec.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

source_url:

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

source_version:

2

era5_ocean
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc

data_type:

RasterDataset

driver:

netcdf

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

gtsm_codec_reanalysis_10min_v1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_10min_{year}_{month}_v1.nc

data_type:

GeoDataset

driver:

netcdf

paper_doi:

10.3389/fmars.2020.00263

paper_ref:

Muis at al (2020)

source_license:

https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

source_url:

https://doi.org/10.24381/cds.8c59054f

source_version:

v1

gtsm_codec_reanalysis_dailymax_v1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_dailymax_{year}_{month}_v1.nc

data_type:

GeoDataset

driver:

netcdf

paper_doi:

10.3389/fmars.2020.00263

paper_ref:

Muis at al (2020)

source_license:

https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

source_url:

https://doi.org/10.24381/cds.8c59054f

source_version:

v1

gtsm_codec_reanalysis_hourly_v1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_hourly_{year}_{month}_v1.nc

data_type:

GeoDataset

driver:

netcdf

paper_doi:

10.3389/fmars.2020.00263

paper_ref:

Muis at al (2020)

source_license:

https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

source_url:

https://doi.org/10.24381/cds.8c59054f

source_version:

v1

gdp_world
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/gdp_world/World_countries_GDPpcPPP.gpkg

data_type:

GeoDataFrame

driver:

vector

source_author:

Wilfred Altena

source_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)

source_license:

CC BY-4.0

source_version:

1.0

ghs_pop
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_54009_250_V1_0.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

source_license:

CC BY 4.0

source_url:

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

ghs_pop_2015_4326_v2019a
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_4326_9ss_V1_0.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

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

paper_ref:

Schiavina et al (2019)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

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

source_version:

R2019A_v1.0

ghs_smod
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

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

paper_ref:

Pesaresi et al (2019)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

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

source_version:

R2019A_v2.0

ghs_smod_2015_54009_v2016a
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2016A_54009_1k_v1_0.tif

data_type:

RasterDataset

driver:

raster

paper_ref:

Pesaresi and Freire (2016)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_smod_pop_globe_r2016a

source_version:

R2016A_v1.0

glw_buffaloes
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Bf_2010_Da.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

source_author:

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paper_doi:

10.7910/DVN/GIVQ75

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Gilbert at al (2018)

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10.7910/DVN/SUFASB

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Gilbert at al (2018)

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glw (Gridded Livestock of World 3 Dataverse)

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CC 4.0

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

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10.7910/DVN/ICHCBH

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Gilbert at al (2018)

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glw (Gridded Livestock of World 3 Dataverse)

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10.7910/DVN/OCPH42

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Gilbert at al (2018)

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glw (Gridded Livestock of World 3 Dataverse)

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CC 4.0

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10.7910/DVN/7Q52MV

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Gilbert at al (2018)

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glw (Gridded Livestock of World 3 Dataverse)

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CC 4.0

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

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10.7910/DVN/33N0JG

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Gilbert at al (2018)

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glw (Gridded Livestock of World 3 Dataverse)

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CC 4.0

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10.7910/DVN/BLWPZN

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Gilbert at al (2018)

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glw (Gridded Livestock of World 3 Dataverse)

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CC 4.0

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

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paper_doi:

10.1016/j.isprsjprs.2017.10.012

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Esch et al (2017)

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

source_url:

http://www.dlr.de/guf

wb_countries
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source_url:

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

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CC-BY 4.0

author:

World Bank

timestamp:

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worldpop_2020_UNadj_constrained
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paper_doi:

10.1371/journal.pone.0107042

paper_ref:

Stevens et al. (2015)

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CC BY 4.0

source_url:

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

worldpop_2020_constrained
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paper_doi:

10.1371/journal.pone.0107042

paper_ref:

Stevens et al. (2015)

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CC BY 4.0

source_url:

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

wsf_bld_2015
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paper_doi:

10.1038/s41597-020-00580-5

paper_ref:

Marconcini at al (2020)

source_license:

CC0 1.0

source_url:

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

copdem30
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https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

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copdem30_mask
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https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

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https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

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dtu10mdt
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paper_doi:

10.1029/2008JC005179

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

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paper_doi:

10.1029/2008JC005179

paper_ref:

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source_url:

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

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fabdem
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paper_doi:

CC BY-NC-SA 4.0

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CC BY-NC-SA 4.0

source_url:

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

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gebco
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paper_doi:

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

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

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

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mdt_cnes_cls18
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paper_doi:

10.5194/os-17-789-2021

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Mulet et al (2021)

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

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merit
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10.1002/2017GL072874

paper_ref:

Yamazaki et al. (2018)

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CC-BY-NC 4.0 or ODbL 1.0

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

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10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

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CC-BY-NC 4.0 or ODbL 1.0

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

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paper_doi:

10.5281/zenodo.5166932

paper_ref:

Eilander et al. (2020)

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ODC-By 1.0

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

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merit_hydro_index
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10.5194/hess-2020-582

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Eilander et al. (in review)

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CC-BY-NC 4.0

merit_hydro_patch
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RasterDataset

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10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

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CC-BY-NC 4.0 or ODbL 1.0

source_url:

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

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paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

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CC BY 4.0

source_url:

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

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

grip_roads
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GeoDataFrame

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source_url:

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

paper_ref:

Meijer et al, 2018

paper_doi:

10.1088/1748-9326/aabd42

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CC0-1.0

source_version:

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grwl
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paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

source_license:

CC BY 4.0

source_url:

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

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hydro_lakes
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GeoDataFrame

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source_author:

Arjen Haag

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HydroLAKES.v10_extract

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hydro_reservoirs
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source_author:

Alessia Matano

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rgi
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GeoDataFrame

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paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

source_info:

Randolph Glacier Inventory

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CC BY 4.0

source_url:

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

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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)

source_license:

ODbL

source_url:

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

source_version:

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data_type:

RasterDataset

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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:

https://doi.org/10.5194/soil-2020-65

paper_ref:

de Sousa et al. (2020)

source_license:

CC BY 4.0

source_url:

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

source_version:

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chelsa
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category:

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paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

source_license:

CC BY 4.0

source_url:

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

source_version:

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chirps
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category:

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paper_doi:

10.1038/sdata.2015.66

paper_ref:

Funk et al (2015)

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CC

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

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chirps_global
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paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

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CC

source_url:

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

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copdem30
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data_type:

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https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

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copdem30_mask
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https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

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copdem30_masked
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https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

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corine
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RasterDataset

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category:

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source_author:

European Environment Agency

source_license:

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

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

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dtu10mdt
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data_type:

RasterDataset

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raster

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

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source_url:

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

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paper_doi:

10.1029/2008JC005179

paper_ref:

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source_url:

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

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eobs
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/*/{variable}_ens_mean_0.1deg_reg_v22.0e.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

22.0e

eobs_orography
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v22.0e.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

22.0e

eobs_orography_v20.0e
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v20.0e.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

20.0e

eobs_orography_v23.1e
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v23.1e.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

23.1e

eobs_v23.1e
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/*/{variable}_ens_mean_0.1deg_reg_v23.1e.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

23.1e

era5
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5_daily/nc_merged/era5_*_daily.nc

data_type:

RasterDataset

driver:

netcdf

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)

source_license:

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

source_url:

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

source_version:

ERA5 daily data on pressure levels

era5_daily_zarr
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

zarr

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)

source_license:

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

source_url:

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

source_version:

ERA5 daily data on pressure levels

era5_hourly
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5/{variable}/era5_{variable}_{year}_hourly.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

source_version:

ERA5 hourly data on pressure levels

era5_hourly_zarr
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5.zarr

data_type:

RasterDataset

driver:

zarr

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

source_version:

ERA5 hourly data on pressure levels

era5_ocean
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc

data_type:

RasterDataset

driver:

netcdf

category:

ocean

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

era5_orography
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5/meta/era5_orography_2018.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

esa_worldcover
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/esa-worldcover/esa-worldcover.vrt

data_type:

RasterDataset

driver:

raster

category:

landuse

source_license:

CC BY 4.0

source_url:

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

source_version:

v100

fabdem
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/fabdem/fabdem.vrt

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

CC BY-NC-SA 4.0

paper_ref:

Hawker et al. (2022)

source_license:

CC BY-NC-SA 4.0

source_url:

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

source_version:

1.0

gadm
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/gadm/gadm36_levels.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

geography

notes:

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

source_author:

gadm

source_license:

https://gadm.org/license.html

source_url:

https://gadm.org/download_world.html

source_version:

3.6

gcn250
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/gcn250/GCN250_*.tif

data_type:

RasterDataset

driver:

raster

category:

soil

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

source_license:

CC BY 4.0

source_url:

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

source_version:

v1

gdp_world
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/gdp_world/World_countries_GDPpcPPP.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

socio-economic

source_author:

Wilfred Altena

source_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)

source_license:

CC BY-4.0

source_version:

1.0

gebco
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/bathymetry/gebco/gebco.vrt

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

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

paper_ref:

Weatherall et al (2020)

source_license:

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

source_url:

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

source_version:

2020

unit:

m+MSL

ghs_pop
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_54009_250_V1_0.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

source_license:

CC BY 4.0

source_url:

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

ghs_pop_2015_4326_v2019a
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_4326_9ss_V1_0.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

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

paper_ref:

Schiavina et al (2019)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

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

source_version:

R2019A_v1.0

ghs_smod
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

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

paper_ref:

Pesaresi et al (2019)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

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

source_version:

R2019A_v2.0

ghs_smod_2015_54009_v2016a
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2016A_54009_1k_v1_0.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_ref:

Pesaresi and Freire (2016)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_smod_pop_globe_r2016a

source_version:

R2016A_v1.0

globcover
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/globcover/GLOBCOVER_L4_200901_200912_V2.3.tif

data_type:

RasterDataset

driver:

raster

category:

landuse

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

source_license:

CC-BY-3.0

source_url:

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

source_version:

v2.3

glofas_era5_v31
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_{year}.nc

data_type:

RasterDataset

driver:

netcdf

category:

hydro

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

source_license:

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

source_url:

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

source_version:

v31

glofas_uparea
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_uparea.tif

data_type:

RasterDataset

driver:

raster

category:

hydro

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

source_license:

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

source_url:

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

source_version:

v31

glw_buffaloes
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Bf_2010_Da.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_cattle
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Ct_2010_Da.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_chicken
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Ch_2010_Da.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_ducks
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Dk_2010_Da.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_goats
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Gt_2010_Da.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_horses
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Ho_2010_Da.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_pigs
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Pg_2010_Da.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_sheeps
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Sh_2010_Da.tif

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

grdc
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/grdc/GRDC_Stations.xlsx

data_type:

GeoDataFrame

driver:

xlsx

category:

observed data

source_info:

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

source_license:

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

source_url:

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

grip_roads
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/infrastructure/grip/GRIP4_world.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

road

source_url:

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

paper_ref:

Meijer et al, 2018

paper_doi:

10.1088/1748-9326/aabd42

source_license:

CC0-1.0

source_version:

v4

grwl
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/grwl/GRWL_vector_V01.01/grwl.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

surface water

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.01

grwl_mask
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/grwl/tindex.gpkg

data_type:

RasterDataset

driver:

raster_tindex

category:

hydrography

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.01

gswo
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/gswo/occur.vrt

data_type:

RasterDataset

driver:

raster

category:

hydrography

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

source_url:

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

source_version:

v1_1_2019

gtsm_codec_reanalysis_10min_v1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_10min_{year}_{month}_v1.nc

data_type:

GeoDataset

driver:

netcdf

category:

ocean

paper_doi:

10.3389/fmars.2020.00263

paper_ref:

Muis at al (2020)

source_license:

https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

source_url:

https://doi.org/10.24381/cds.8c59054f

source_version:

v1

gtsm_codec_reanalysis_dailymax_v1
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_dailymax_{year}_{month}_v1.nc

data_type:

GeoDataset

driver:

netcdf

category:

ocean

paper_doi:

10.3389/fmars.2020.00263

paper_ref:

Muis at al (2020)

source_license:

https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

source_url:

https://doi.org/10.24381/cds.8c59054f

source_version:

v1

gtsm_codec_reanalysis_hourly_v1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_hourly_{year}_{month}_v1.nc

data_type:

GeoDataset

driver:

netcdf

category:

ocean

paper_doi:

10.3389/fmars.2020.00263

paper_ref:

Muis at al (2020)

source_license:

https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

source_url:

https://doi.org/10.24381/cds.8c59054f

source_version:

v1

guf_bld_2012
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/infrastructure/guf/GUF04_DLR_v02.vrt

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

source_license:

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

source_url:

http://www.dlr.de/guf

hydro_lakes
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/lakes/lake-db.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

surface water

source_author:

Arjen Haag

source_info:

HydroLAKES.v10_extract

source_version:

1.0

hydro_reservoirs
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/reservoirs/reservoir-db.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

surface water

source_author:

Alessia Matano

source_info:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

source_version:

1.0

koppen_geiger
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/climate_classification_v2017/Map_KG-Global.tif

data_type:

RasterDataset

driver:

raster

category:

meteo

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

source_url:

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

source_version:

2017

mdt_cnes_cls18
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/mdt_cnes_cls18/MDT_CNES_CLS18_global_filled.tif

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

source_url:

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

source_version:

18

unit:

m+GOCO05S

merit
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit/merit.nc

data_type:

RasterDataset

driver:

netcdf

category:

topography

paper_doi:

10.1002/2017GL072874

paper_ref:

Yamazaki et al. (2018)

source_license:

CC-BY-NC 4.0 or ODbL 1.0

source_url:

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

source_version:

1.0.3

merit_hydro
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit_hydro/*.vrt

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

source_license:

CC-BY-NC 4.0 or ODbL 1.0

source_url:

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

source_version:

1.0

merit_hydro_ihu
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit_hydro_ihu/30sec/*.tif

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.5281/zenodo.5166932

paper_ref:

Eilander et al. (2020)

source_license:

ODC-By 1.0

source_url:

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

source_version:

1.0

merit_hydro_index
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit_hydro/basin_index.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

source_license:

CC-BY-NC 4.0

merit_hydro_patch
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit_hydro/patches/*.vrt

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

source_license:

CC-BY-NC 4.0 or ODbL 1.0

source_url:

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

source_version:

1.0 Deltares patch

modis_lai
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/modis/MODIS_MCD15A3H_LAI/*.tif

data_type:

RasterDataset

driver:

raster

category:

landuse

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)

source_license:

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

source_url:

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

source_version:

MCD15A3H V006

osm_coastlines
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/osm/osm_coastlines-db.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

geography

source_author:

OpenStreetMap

source_info:

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

source_license:

ODbL

source_url:

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

source_version:

1.0

osm_landareas
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/osm/osm_landareas-db.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

geography

source_author:

OpenStreetMap

source_info:

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

source_license:

ODbL

source_url:

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

source_version:

1.0

rgi
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/rgi/rgi.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

surface water

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

source_info:

Randolph Glacier Inventory

source_license:

CC BY 4.0

source_url:

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

source_version:

6.0

rivers_lin2019_v1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/rivers_lin2019/rivers_ge30m.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

hydrography

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

source_license:

CC-BY-NC 4.0

source_url:

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

source_version:

1

simard
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/simard/sdat_10023_canopy_height_simard.tif

data_type:

RasterDataset

driver:

raster

category:

landuse

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

source_url:

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

soilgrids
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/soil/soilgrids_v1.0/*_250m_ll.tif

data_type:

RasterDataset

driver:

raster

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)

source_license:

ODbL

source_url:

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

source_version:

2017

soilgrids_2020
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/soil/soilgrids_v2.0/*/*_mean.vrt

data_type:

RasterDataset

driver:

raster

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:

https://doi.org/10.5194/soil-2020-65

paper_ref:

de Sousa et al. (2020)

source_license:

CC BY 4.0

source_url:

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

source_version:

2020

vito
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/ProbaV_LC100_epoch2015_global_v2.0.2_discrete-classification_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

category:

landuse

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v2.0.2

vito_2016_v3.0.1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2016-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

category:

landuse

paper_doi:

10.5281/zenodo.3518026

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v3.0.1

vito_2017_v3.0.1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2017-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

category:

landuse

paper_doi:

10.5281/zenodo.3518036

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v3.0.1

vito_2018_v3.0.1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2018-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

category:

landuse

paper_doi:

10.5281/zenodo.3518038

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v3.0.1

vito_2019_v3.0.1
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/ProbaV_LC100_global_v3.0.1_2019-nrt_discrete-classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

raster

category:

landuse

paper_doi:

10.5281/zenodo.3939050

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v3.0.1

wb_countries
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/wb/WB_countries_Admin0.geojson

data_type:

GeoDataFrame

driver:

vector

category:

socio-economic

source_url:

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

source_license:

CC-BY 4.0

author:

World Bank

timestamp:

February 2020

worldclim
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/worldclim_v2.0/wc2.0_30s_prec.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

source_url:

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

source_version:

2

worldpop_2020_UNadj_constrained
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/worldpop/ppp_2020_UNadj_constrained.vrt

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.1371/journal.pone.0107042

paper_ref:

Stevens et al. (2015)

source_license:

CC BY 4.0

source_url:

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

worldpop_2020_constrained
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/worldpop/ppp_2020_constrained.vrt

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.1371/journal.pone.0107042

paper_ref:

Stevens et al. (2015)

source_license:

CC BY 4.0

source_url:

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

wsf_bld_2015
path:

/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/infrastructure/wsf/WSF2015_v1_EPSG4326.vrt

data_type:

RasterDataset

driver:

raster

category:

socio-economic

paper_doi:

10.1038/s41597-020-00580-5

paper_ref:

Marconcini at al (2020)

source_license:

CC0 1.0

source_url:

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

artifact_data

This data archive contains a sample dataset for the Piave basin (North Italy) to be used for tests and docs/demo purposes.

gadm_level1
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level1.gpkg

data_type:

GeoDataFrame

driver:

vector

notes:

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

source_author:

gadm

source_license:

https://gadm.org/license.html

source_url:

https://gadm.org/download_world.html

source_version:

1.0

gadm_level2
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level2.gpkg

data_type:

GeoDataFrame

driver:

vector

notes:

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

source_author:

gadm

source_license:

https://gadm.org/license.html

source_url:

https://gadm.org/download_world.html

source_version:

1.0

gadm_level3
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level3.gpkg

data_type:

GeoDataFrame

driver:

vector

notes:

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

source_author:

gadm

source_license:

https://gadm.org/license.html

source_url:

https://gadm.org/download_world.html

source_version:

1.0

osm_coastlines
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/osm_coastlines.gpkg

data_type:

GeoDataFrame

driver:

vector

source_author:

OpenStreetMap

source_info:

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

source_license:

ODbL

source_url:

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

source_version:

1.0

osm_landareas
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/osm_landareas.gpkg

data_type:

GeoDataFrame

driver:

vector

source_author:

OpenStreetMap

source_info:

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

source_license:

ODbL

source_url:

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

source_version:

1.0

rivers_lin2019_v1
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/rivers_lin2019_v1.gpkg

data_type:

GeoDataFrame

driver:

vector

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

source_license:

CC-BY-NC 4.0

source_url:

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

source_version:

1

chelsa
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/chelsa.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.2

chirps_global
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/chirps_global.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

source_license:

CC

source_url:

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

source_version:

v2.0

eobs
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/eobs.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

22.0e

eobs_orography
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/eobs_orography.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

22.0e

era5
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/era5.nc

data_type:

RasterDataset

driver:

netcdf

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)

source_license:

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

source_url:

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

source_version:

ERA5 daily data on pressure levels

era5_hourly
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/era5_hourly.nc

data_type:

RasterDataset

driver:

netcdf

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

source_version:

ERA5 hourly data on pressure levels

era5_orography
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/era5_orography.nc

data_type:

RasterDataset

driver:

netcdf

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

source_version:

ERA5 hourly data on pressure levels

koppen_geiger
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/koppen_geiger.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

source_url:

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

source_version:

2017

worldclim
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/worldclim.nc

data_type:

RasterDataset

driver:

netcdf

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

source_url:

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

source_version:

2

gtsmv3_eu_era5
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gtsmv3_eu_era5.nc

data_type:

GeoDataset

driver:

netcdf

paper_doi:

10.24381/cds.8c59054f

paper_ref:

Copernicus Climate Change Service 2019

source_license:

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

source_url:

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

source_version:

GTSM v3.0

wb_countries
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/wb_countries.gpkg

data_type:

GeoDataFrame

driver:

vector

author:

World Bank

source_license:

CC-BY 4.0

source_url:

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

timestamp:

February 2020

dtu10mdt
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/dtu10mdt.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

source_url:

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

source_version:

2010

unit:

m+EGM2008

dtu10mdt_egm96
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/dtu10mdt_egm96.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

source_url:

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

source_version:

2010

unit:

m+EGM96

gebco
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gebco.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

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

paper_ref:

Weatherall et al (2020)

source_license:

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

source_url:

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

source_version:

2020

unit:

m+MSL

mdt_cnes_cls18
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/mdt_cnes_cls18.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

source_url:

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

source_version:

18

unit:

m+GOCO05S

merit_hydro
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro/{variable}.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

source_license:

CC-BY-NC 4.0 or ODbL 1.0

source_url:

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

source_version:

1.0

merit_hydro_1k
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro_1k/{variable}.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

source_license:

CC-BY-NC 4.0

source_url:

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

source_version:

0.1

merit_hydro_index
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro_index.gpkg

data_type:

GeoDataFrame

driver:

vector

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

source_license:

CC-BY-NC 4.0

corine
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/corine.tif

data_type:

RasterDataset

driver:

raster

source_author:

European Environment Agency

source_license:

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

source_url:

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

source_version:

v.2020_20u1

gcn250
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gcn250/{variable}.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

source_license:

CC BY 4.0

source_url:

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

source_version:

v1

gdp_world
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gdp_world.gpkg

data_type:

GeoDataFrame

driver:

vector

source_author:

Wilfred Altena

source_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)

source_license:

CC BY-4.0

source_version:

1.0

ghs-smod_2015_v2
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

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

paper_ref:

Pesaresi et al (2019)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

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

source_version:

R2019A_v2.0

ghs_pop_2015
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_pop_2015.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

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

paper_ref:

Schiavina et al (2019)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

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

source_version:

R2019A_v1.0

ghs_pop_2015_54009
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_pop_2015_54009.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

source_license:

CC BY 4.0

source_url:

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

ghs_smod_2015
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_smod_2015.tif

data_type:

RasterDataset

driver:

raster

paper_ref:

Pesaresi and Freire (2016)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_smod_pop_globe_r2016a

source_version:

R2016A_v1.0

globcover
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/globcover.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

source_license:

CC-BY-3.0

source_url:

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

glw_buffaloes
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_buffaloes.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_cattle
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_cattle.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_chicken
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_chicken.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_ducks
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_ducks.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_goats
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_goats.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_horses
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_horses.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_pigs
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_pigs.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_sheep
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_sheep.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

grdc
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/grdc.csv

data_type:

GeoDataFrame

driver:

csv

source_info:

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

source_license:

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

source_url:

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

grip_roads
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/grip_roads.gpkg

data_type:

GeoDataFrame

driver:

vector

paper_doi:

10.1088/1748-9326/aabd42

paper_ref:

Meijer et al, 2018

source_license:

CC0-1.0

source_url:

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

source_version:

v4

grwl
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/grwl.gpkg

data_type:

GeoDataFrame

driver:

vector

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.01

grwl_mask
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/grwl_tindex.gpkg

data_type:

RasterDataset

driver:

raster_tindex

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.01

gswo
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gswo.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

source_url:

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

source_version:

v1_1_2019

guf_bld_2012
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/guf_bld_2012.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

source_license:

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

source_url:

http://www.dlr.de/guf

hydro_lakes
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/hydro_lakes.gpkg

data_type:

GeoDataFrame

driver:

vector

source_author:

Arjen Haag

source_info:

HydroLAKES.v10_extract

source_version:

1.0

hydro_reservoirs
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/hydro_reservoirs.gpkg

data_type:

GeoDataFrame

driver:

vector

source_author:

Alessia Matano

source_info:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

source_version:

1.0

modis_lai
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/modis_lai.nc

data_type:

RasterDataset

driver:

netcdf

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)

source_license:

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

source_url:

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

source_version:

MCD15A3H V006

rgi
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/rgi.gpkg

data_type:

GeoDataFrame

driver:

vector

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

source_info:

Randolph Glacier Inventory

source_license:

CC BY 4.0

source_url:

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

source_version:

6.0

simard
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/simard.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

source_url:

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

soilgrids
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/soilgrids/{variable}.tif

data_type:

RasterDataset

driver:

raster

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)

source_license:

ODbL

source_url:

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

source_version:

2017

vito
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/vito.tif

data_type:

RasterDataset

driver:

raster

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v2.0.2

chelsa
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/chelsa.tif

data_type:

RasterDataset

driver:

raster

category:

meteo

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.2

chirps_global
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/chirps_global.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

source_license:

CC

source_url:

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

source_version:

v2.0

corine
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/corine.tif

data_type:

RasterDataset

driver:

raster

category:

landuse & landcover

source_author:

European Environment Agency

source_license:

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

source_url:

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

source_version:

v.2020_20u1

dtu10mdt
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/dtu10mdt.tif

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

source_url:

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

source_version:

2010

unit:

m+EGM2008

dtu10mdt_egm96
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/dtu10mdt_egm96.tif

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

source_url:

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

source_version:

2010

unit:

m+EGM96

eobs
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/eobs.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

22.0e

eobs_orography
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/eobs_orography.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

source_license:

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

source_url:

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

source_version:

22.0e

era5
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/era5.nc

data_type:

RasterDataset

driver:

netcdf

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)

source_license:

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

source_url:

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

source_version:

ERA5 daily data on pressure levels

era5_hourly
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/era5_hourly.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

source_version:

ERA5 hourly data on pressure levels

era5_orography
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/era5_orography.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

source_license:

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

source_url:

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

source_version:

ERA5 hourly data on pressure levels

gadm_level1
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level1.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

geography

notes:

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

source_author:

gadm

source_license:

https://gadm.org/license.html

source_url:

https://gadm.org/download_world.html

source_version:

1.0

gadm_level2
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level2.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

geography

notes:

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

source_author:

gadm

source_license:

https://gadm.org/license.html

source_url:

https://gadm.org/download_world.html

source_version:

1.0

gadm_level3
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level3.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

geography

notes:

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

source_author:

gadm

source_license:

https://gadm.org/license.html

source_url:

https://gadm.org/download_world.html

source_version:

1.0

gcn250
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gcn250/{variable}.tif

data_type:

RasterDataset

driver:

raster

category:

soil

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

source_license:

CC BY 4.0

source_url:

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

source_version:

v1

gdp_world
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gdp_world.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

socio economic

source_author:

Wilfred Altena

source_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)

source_license:

CC BY-4.0

source_version:

1.0

gebco
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gebco.tif

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

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

paper_ref:

Weatherall et al (2020)

source_license:

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

source_url:

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

source_version:

2020

unit:

m+MSL

ghs-smod_2015_v2
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

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

paper_ref:

Pesaresi et al (2019)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

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

source_version:

R2019A_v2.0

ghs_pop_2015
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_pop_2015.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

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

paper_ref:

Schiavina et al (2019)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

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

source_version:

R2019A_v1.0

ghs_pop_2015_54009
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_pop_2015_54009.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

source_license:

CC BY 4.0

source_url:

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

ghs_smod_2015
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_smod_2015.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_ref:

Pesaresi and Freire (2016)

source_author:

JRC-ISPRA EC

source_license:

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

source_url:

https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_smod_pop_globe_r2016a

source_version:

R2016A_v1.0

globcover
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/globcover.tif

data_type:

RasterDataset

driver:

raster

category:

landuse & landcover

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

source_license:

CC-BY-3.0

source_url:

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

glw_buffaloes
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_buffaloes.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_cattle
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_cattle.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_chicken
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_chicken.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_ducks
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_ducks.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_goats
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_goats.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_horses
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_horses.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_pigs
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_pigs.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

glw_sheep
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_sheep.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

source_author:

glw (Gridded Livestock of World 3 Dataverse)

source_license:

CC 4.0

source_url:

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

source_version:

GLW 3, last downloaded 2020-06-11

grdc
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/grdc.csv

data_type:

GeoDataFrame

driver:

csv

category:

observed data

source_info:

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

source_license:

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

source_url:

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

grip_roads
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/grip_roads.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

road

paper_doi:

10.1088/1748-9326/aabd42

paper_ref:

Meijer et al, 2018

source_license:

CC0-1.0

source_url:

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

source_version:

v4

grwl
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/grwl.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

surface water

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.01

grwl_mask
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/grwl_tindex.gpkg

data_type:

RasterDataset

driver:

raster_tindex

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

source_license:

CC BY 4.0

source_url:

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

source_version:

1.01

gswo
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gswo.tif

data_type:

RasterDataset

driver:

raster

category:

surface water

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

source_url:

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

source_version:

v1_1_2019

gtsmv3_eu_era5
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/gtsmv3_eu_era5.nc

data_type:

GeoDataset

driver:

netcdf

category:

ocean

paper_doi:

10.24381/cds.8c59054f

paper_ref:

Copernicus Climate Change Service 2019

source_license:

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

source_url:

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

source_version:

GTSM v3.0

guf_bld_2012
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/guf_bld_2012.tif

data_type:

RasterDataset

driver:

raster

category:

socio economic

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

source_license:

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

source_url:

http://www.dlr.de/guf

hydro_lakes
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/hydro_lakes.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

surface water

source_author:

Arjen Haag

source_info:

HydroLAKES.v10_extract

source_version:

1.0

hydro_reservoirs
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/hydro_reservoirs.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

surface water

source_author:

Alessia Matano

source_info:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

source_version:

1.0

koppen_geiger
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/koppen_geiger.tif

data_type:

RasterDataset

driver:

raster

category:

meteo

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

source_url:

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

source_version:

2017

mdt_cnes_cls18
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/mdt_cnes_cls18.tif

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

source_url:

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

source_version:

18

unit:

m+GOCO05S

merit_hydro
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro/{variable}.tif

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

source_license:

CC-BY-NC 4.0 or ODbL 1.0

source_url:

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

source_version:

1.0

merit_hydro_1k
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro_1k/{variable}.tif

data_type:

RasterDataset

driver:

raster

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

source_license:

CC-BY-NC 4.0

source_url:

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

source_version:

0.1

merit_hydro_index
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro_index.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

source_license:

CC-BY-NC 4.0

modis_lai
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/modis_lai.nc

data_type:

RasterDataset

driver:

netcdf

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)

source_license:

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

source_url:

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

source_version:

MCD15A3H V006

osm_coastlines
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/osm_coastlines.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

geography

source_author:

OpenStreetMap

source_info:

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

source_license:

ODbL

source_url:

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

source_version:

1.0

osm_landareas
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/osm_landareas.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

geography

source_author:

OpenStreetMap

source_info:

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

source_license:

ODbL

source_url:

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

source_version:

1.0

rgi
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/rgi.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

surface water

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

source_info:

Randolph Glacier Inventory

source_license:

CC BY 4.0

source_url:

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

source_version:

6.0

rivers_lin2019_v1
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/rivers_lin2019_v1.gpkg

data_type:

GeoDataFrame

driver:

vector

category:

hydrography

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

source_license:

CC-BY-NC 4.0

source_url:

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

source_version:

1

simard
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/simard.tif

data_type:

RasterDataset

driver:

raster

category:

landuse & landcover

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

source_url:

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

soilgrids
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/soilgrids/{variable}.tif

data_type:

RasterDataset

driver:

raster

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)

source_license:

ODbL

source_url:

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

source_version:

2017

vito
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/vito.tif

data_type:

RasterDataset

driver:

raster

category:

landuse & landcover

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

source_url:

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

source_version:

v2.0.2

wb_countries
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/wb_countries.gpkg

data_type:

GeoDataFrame

driver:

vector

author:

World Bank

category:

socio-economic

source_license:

CC-BY 4.0

source_url:

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

timestamp:

February 2020

worldclim
path:

/home/runner/.hydromt_data/artifact_data/v0.0.6/worldclim.nc

data_type:

RasterDataset

driver:

netcdf

category:

meteo

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

source_url:

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

source_version:

2