{
  "meta": {
    "total": 120,
    "description": "Water data descriptor papers",
    "updated": "2026-04-04",
    "docs": "https://waterdatagroup.com/developers"
  },
  "data": [
    {
      "id": "p1",
      "title": "Bias-corrected climate projections for South Asia from CMIP-6",
      "authors": "Mishra V., Bhatia U., Tiwari A.D.",
      "journal": "Scientific Data",
      "year": 2020,
      "doi": "10.1038/s41597-020-00681-1",
      "url": "https://doi.org/10.1038/s41597-020-00681-1",
      "category": "Climate",
      "description": "Provides bias-corrected daily climate projections (precipitation, temperature) for South Asia from 13 CMIP-6 models under multiple SSP scenarios at 0.25° resolution.",
      "openAccess": true,
      "tags": [
        "precipitation",
        "temperature",
        "CMIP6",
        "South Asia",
        "bias correction",
        "climate projections"
      ]
    },
    {
      "id": "p2",
      "title": "A global dataset of surface water and groundwater salinity measurements (1980–2019)",
      "authors": "Thorslund J., van Vliet M.T.H.",
      "journal": "Scientific Data",
      "year": 2020,
      "doi": "10.1038/s41597-020-0562-z",
      "url": "https://doi.org/10.1038/s41597-020-0562-z",
      "category": "Water Quality",
      "description": "First global compilation of salinity observations for both surface water and groundwater, covering over 16,000 stations and 7.1 million measurements from 1980 to 2019.",
      "openAccess": true,
      "tags": [
        "salinity",
        "surface water",
        "groundwater",
        "water quality",
        "global"
      ]
    },
    {
      "id": "p3",
      "title": "Caravan — A global community dataset for large-sample hydrology",
      "authors": "Kratzert F., Nearing G., Addor N., et al.",
      "journal": "Scientific Data",
      "year": 2023,
      "doi": "10.1038/s41597-023-01975-w",
      "url": "https://doi.org/10.1038/s41597-023-01975-w",
      "category": "Hydrology",
      "description": "An open community dataset providing meteorological forcing, streamflow, and catchment attributes for thousands of catchments worldwide, designed for large-sample hydrological modeling.",
      "openAccess": true,
      "tags": [
        "streamflow",
        "catchment attributes",
        "large-sample hydrology",
        "global",
        "community dataset"
      ]
    },
    {
      "id": "p4",
      "title": "A database of groundwater wells in the United States",
      "authors": "Jasechko S., Seybold H., Perrone D., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-024-03186-3",
      "url": "https://doi.org/10.1038/s41597-024-03186-3",
      "category": "Groundwater",
      "description": "A comprehensive database of over 14 million groundwater wells across the United States, including well depth, location, and construction details compiled from state-level records.",
      "openAccess": true,
      "tags": [
        "groundwater wells",
        "United States",
        "well depth",
        "well construction",
        "database"
      ]
    },
    {
      "id": "p5",
      "title": "Development of Groundwater Levels Dataset for Chile since 1970",
      "authors": "Blin N., Hausner M.B., Leray S., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-023-02895-5",
      "url": "https://doi.org/10.1038/s41597-023-02895-5",
      "category": "Groundwater",
      "description": "A quality-controlled dataset of groundwater level measurements from over 1,400 monitoring wells across Chile from 1970 to present, spanning diverse climatic and hydrogeological settings.",
      "openAccess": true,
      "tags": [
        "groundwater levels",
        "Chile",
        "monitoring wells",
        "South America",
        "time series"
      ]
    },
    {
      "id": "p6",
      "title": "Underground well water level observation grid dataset (2005–2022)",
      "authors": "Zhang Y., Li X., Wang J., et al.",
      "journal": "Scientific Data",
      "year": 2025,
      "doi": "10.1038/s41597-025-04799-y",
      "url": "https://doi.org/10.1038/s41597-025-04799-y",
      "category": "Groundwater",
      "description": "A gridded dataset of underground well water level observations from 2005 to 2022, providing spatially continuous groundwater level estimates for regional water resource assessment.",
      "openAccess": true,
      "tags": [
        "groundwater levels",
        "gridded data",
        "well monitoring",
        "water resources"
      ]
    },
    {
      "id": "p7",
      "title": "Quality controlled groundwater level data with specific yield over India",
      "authors": "Shamsudduha M., Taylor R.G., et al.",
      "journal": "Scientific Data",
      "year": 2025,
      "doi": "10.1038/s41597-025-05899-5",
      "url": "https://doi.org/10.1038/s41597-025-05899-5",
      "category": "Groundwater",
      "description": "Quality-controlled groundwater level records paired with specific yield estimates across India, enabling improved groundwater storage change calculations for the subcontinent.",
      "openAccess": true,
      "tags": [
        "groundwater levels",
        "specific yield",
        "India",
        "groundwater storage",
        "quality control"
      ]
    },
    {
      "id": "p8",
      "title": "High Resolution Water Quality Dataset of Chinese Lakes and Reservoirs (2000–2023)",
      "authors": "Wang S., Li Y., Zhang W., et al.",
      "journal": "Scientific Data",
      "year": 2025,
      "doi": "10.1038/s41597-025-04915-y",
      "url": "https://doi.org/10.1038/s41597-025-04915-y",
      "category": "Water Quality",
      "description": "Monthly data for 8 water quality parameters across 180,000 lakes and reservoirs in China from 2000 to 2023, derived from remote sensing with field validation.",
      "openAccess": true,
      "tags": [
        "water quality",
        "lakes",
        "reservoirs",
        "China",
        "remote sensing",
        "chlorophyll"
      ]
    },
    {
      "id": "p9",
      "title": "Comprehensive Surface Water Quality Dataset (1940–2023)",
      "authors": "Virro H., Amatulli G., et al.",
      "journal": "Scientific Data",
      "year": 2025,
      "doi": "10.1038/s41597-025-04715-4",
      "url": "https://doi.org/10.1038/s41597-025-04715-4",
      "category": "Water Quality",
      "description": "A compilation of 2.82 million surface water quality measurements spanning 1940–2023 from the USA, Canada, Ireland, England, and China covering multiple physicochemical parameters.",
      "openAccess": true,
      "tags": [
        "surface water quality",
        "historical data",
        "physicochemical",
        "multi-country",
        "long-term"
      ]
    },
    {
      "id": "p10",
      "title": "A global multi-catchment synthesis for water fluxes and storage changes",
      "authors": "Gnann S.J., Coxon G., Woods R.A., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-024-04203-1",
      "url": "https://doi.org/10.1038/s41597-024-04203-1",
      "category": "Hydrology",
      "description": "A global synthesis dataset of water balance components including precipitation, evapotranspiration, runoff, and storage changes across thousands of catchments for hydrological model evaluation.",
      "openAccess": true,
      "tags": [
        "water balance",
        "catchment",
        "runoff",
        "evapotranspiration",
        "storage",
        "global"
      ]
    },
    {
      "id": "p11",
      "title": "Quantitative datasets of societal value, technology and policy for human-water system modelling",
      "authors": "Yoon J., Reed P.M., et al.",
      "journal": "Scientific Data",
      "year": 2025,
      "doi": "10.1038/s41597-025-05885-x",
      "url": "https://doi.org/10.1038/s41597-025-05885-x",
      "category": "Water Resources",
      "description": "Quantitative datasets capturing societal values, technology adoption, and water policy variables for coupled human-water system modeling and integrated water resources management.",
      "openAccess": true,
      "tags": [
        "human-water systems",
        "water policy",
        "socio-hydrology",
        "modeling",
        "water management"
      ]
    },
    {
      "id": "p12",
      "title": "Global Historical Climatology Network Monthly Precipitation Dataset v4",
      "authors": "Menne M.J., Durre I., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-024-03457-z",
      "url": "https://doi.org/10.1038/s41597-024-03457-z",
      "category": "Climate",
      "description": "Version 4 of the GHCN monthly precipitation dataset providing quality-controlled precipitation records from over 100,000 stations worldwide with improved spatial and temporal coverage.",
      "openAccess": true,
      "tags": [
        "precipitation",
        "GHCN",
        "station data",
        "global",
        "monthly",
        "historical"
      ]
    },
    {
      "id": "p13",
      "title": "SM2RAIN-Climate — monthly global long-term rainfall dataset",
      "authors": "Brocca L., Filippucci P., et al.",
      "journal": "Scientific Data",
      "year": 2023,
      "doi": "10.1038/s41597-023-02654-6",
      "url": "https://doi.org/10.1038/s41597-023-02654-6",
      "category": "Climate",
      "description": "A global monthly rainfall dataset derived from satellite soil moisture observations using the SM2RAIN algorithm, providing an independent alternative to traditional precipitation products.",
      "openAccess": true,
      "tags": [
        "rainfall",
        "soil moisture",
        "satellite",
        "SM2RAIN",
        "global",
        "monthly"
      ]
    },
    {
      "id": "p14",
      "title": "Global Sub-Daily Precipitation Indices (GSDR-I)",
      "authors": "Barbero R., Fowler H.J., et al.",
      "journal": "Scientific Data",
      "year": 2023,
      "doi": "10.1038/s41597-023-02238-4",
      "url": "https://doi.org/10.1038/s41597-023-02238-4",
      "category": "Climate",
      "description": "A global dataset of sub-daily precipitation extreme indices computed from hourly gauge observations, enabling analysis of short-duration rainfall intensities and their trends.",
      "openAccess": true,
      "tags": [
        "sub-daily precipitation",
        "extreme rainfall",
        "indices",
        "hourly",
        "global"
      ]
    },
    {
      "id": "p15",
      "title": "High-resolution daily global statistically downscaled CMIP6 models",
      "authors": "Thrasher B., Wang W., et al.",
      "journal": "Scientific Data",
      "year": 2023,
      "doi": "10.1038/s41597-023-02528-x",
      "url": "https://doi.org/10.1038/s41597-023-02528-x",
      "category": "Climate",
      "description": "NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) providing daily high-resolution climate variables from 35 CMIP6 models under 4 SSP scenarios.",
      "dataUrl": "https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6",
      "openAccess": true,
      "tags": [
        "downscaling",
        "CMIP6",
        "daily",
        "high-resolution",
        "NEX-GDDP",
        "climate projections"
      ]
    },
    {
      "id": "p16",
      "title": "Global Tropical Cyclone Precipitation (MSTCP) Dataset",
      "authors": "Xi D., Lin N., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-024-03395-w",
      "url": "https://doi.org/10.1038/s41597-024-03395-w",
      "category": "Climate",
      "description": "Multi-source tropical cyclone precipitation dataset combining satellite estimates and reanalysis data to provide comprehensive global records of rainfall from tropical cyclones.",
      "openAccess": true,
      "tags": [
        "tropical cyclone",
        "precipitation",
        "hurricane rainfall",
        "global",
        "satellite"
      ]
    },
    {
      "id": "p17",
      "title": "Terrestrial evapotranspiration and soil moisture dynamics (1982–2020)",
      "authors": "Singer M.B., Asfaw D.T., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-024-03271-7",
      "url": "https://doi.org/10.1038/s41597-024-03271-7",
      "category": "Hydrology",
      "description": "A long-term global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020, derived from satellite observations and land surface modeling.",
      "openAccess": true,
      "tags": [
        "evapotranspiration",
        "soil moisture",
        "satellite",
        "long-term",
        "global",
        "land surface"
      ]
    },
    {
      "id": "p18",
      "title": "GLEAM4 — global land evaporation and soil moisture (1980–present)",
      "authors": "Martens B., Miralles D.G., et al.",
      "journal": "Scientific Data",
      "year": 2025,
      "doi": "10.1038/s41597-025-04610-y",
      "url": "https://doi.org/10.1038/s41597-025-04610-y",
      "category": "Hydrology",
      "description": "Version 4 of the Global Land Evaporation Amsterdam Model providing daily estimates of evaporation, transpiration, and root-zone soil moisture at 0.25° resolution from 1980 to present.",
      "dataUrl": "https://www.gleam.eu/",
      "openAccess": true,
      "tags": [
        "GLEAM",
        "evaporation",
        "transpiration",
        "soil moisture",
        "global",
        "daily"
      ]
    },
    {
      "id": "p19",
      "title": "Global long-term daily 1km surface soil moisture with physics-informed ML",
      "authors": "Han Q., Zeng Y., et al.",
      "journal": "Scientific Data",
      "year": 2023,
      "doi": "10.1038/s41597-023-02011-7",
      "url": "https://doi.org/10.1038/s41597-023-02011-7",
      "category": "Hydrology",
      "description": "A high-resolution (1 km) global daily surface soil moisture dataset produced using physics-informed machine learning, merging satellite retrievals with land surface model outputs.",
      "openAccess": true,
      "tags": [
        "soil moisture",
        "machine learning",
        "1km resolution",
        "daily",
        "global",
        "remote sensing"
      ]
    },
    {
      "id": "p20",
      "title": "Global Future Drought Layers based on downscaled CMIP6 models",
      "authors": "Spinoni J., Barbosa P., et al.",
      "journal": "Scientific Data",
      "year": 2025,
      "doi": "10.1038/s41597-025-04612-w",
      "url": "https://doi.org/10.1038/s41597-025-04612-w",
      "category": "Climate",
      "description": "Global gridded projections of future drought conditions derived from downscaled CMIP6 models under multiple SSP scenarios, enabling drought risk assessment under climate change.",
      "openAccess": true,
      "tags": [
        "drought projections",
        "CMIP6",
        "future climate",
        "SSP scenarios",
        "global",
        "risk assessment"
      ]
    },
    {
      "id": "p21",
      "title": "Global daily evapotranspiration deficit index for drought severity (1979–2022)",
      "authors": "Vicente-Serrano S.M., et al.",
      "journal": "Scientific Data",
      "year": 2023,
      "doi": "10.1038/s41597-023-02756-1",
      "url": "https://doi.org/10.1038/s41597-023-02756-1",
      "category": "Climate",
      "description": "A daily global dataset of evapotranspiration deficit index from 1979 to 2022, providing a physically-based drought severity indicator at 0.25° resolution.",
      "openAccess": true,
      "tags": [
        "drought",
        "evapotranspiration deficit",
        "daily",
        "global",
        "drought severity"
      ]
    },
    {
      "id": "p22",
      "title": "ERA5-Drought — global drought indices based on ECMWF reanalysis",
      "authors": "Mazzoleni M., et al.",
      "journal": "Scientific Data",
      "year": 2025,
      "doi": "10.1038/s41597-025-04896-y",
      "url": "https://doi.org/10.1038/s41597-025-04896-y",
      "category": "Climate",
      "description": "A comprehensive set of global drought indices (SPI, SPEI, SSMI) computed from ERA5 reanalysis data, providing consistent multi-indicator drought monitoring from 1950 onward.",
      "openAccess": true,
      "tags": [
        "ERA5",
        "drought indices",
        "SPI",
        "SPEI",
        "reanalysis",
        "global"
      ]
    },
    {
      "id": "p23",
      "title": "Global flash drought inventory based on soil moisture volatility",
      "authors": "Lisonbee J., Woloszyn M., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-024-03809-9",
      "url": "https://doi.org/10.1038/s41597-024-03809-9",
      "category": "Climate",
      "description": "A global inventory of flash drought events identified through rapid soil moisture depletion, providing onset dates, duration, and severity metrics for flash drought characterization.",
      "openAccess": true,
      "tags": [
        "flash drought",
        "soil moisture",
        "drought inventory",
        "rapid onset",
        "global"
      ]
    },
    {
      "id": "p24",
      "title": "First global multi-timescale daily SPEI dataset (1982–2021)",
      "authors": "Wang C., Zheng Y., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-024-03047-z",
      "url": "https://doi.org/10.1038/s41597-024-03047-z",
      "category": "Climate",
      "description": "The first daily Standardized Precipitation Evapotranspiration Index dataset at multiple timescales (1–48 months) and 0.25° global resolution from 1982 to 2021.",
      "openAccess": true,
      "tags": [
        "SPEI",
        "drought index",
        "daily",
        "multi-timescale",
        "global",
        "precipitation"
      ]
    },
    {
      "id": "p25",
      "title": "Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA)",
      "authors": "Addor N., Do H.X., et al.",
      "journal": "Earth System Science Data",
      "year": 2024,
      "doi": "10.5194/essd-16-1559-2024",
      "url": "https://doi.org/10.5194/essd-16-1559-2024",
      "category": "Hydrology",
      "description": "A comprehensive global dataset of streamflow characteristics, hydrometeorological variables, and catchment attributes for thousands of gauged basins, enabling cross-regional hydrological analysis.",
      "openAccess": true,
      "tags": [
        "streamflow",
        "catchment attributes",
        "hydrometeorology",
        "global",
        "gauged basins"
      ]
    },
    {
      "id": "p26",
      "title": "A global dataset of the shape of drainage systems (Basin90m)",
      "authors": "Amatulli G., Garcia Marquez J., et al.",
      "journal": "Earth System Science Data",
      "year": 2024,
      "doi": "10.5194/essd-16-1151-2024",
      "url": "https://doi.org/10.5194/essd-16-1151-2024",
      "category": "Hydrology",
      "description": "Basin90m provides high-resolution (90m) global drainage basin delineations and morphometric attributes, enabling detailed analysis of basin shape and river network topology.",
      "openAccess": true,
      "tags": [
        "drainage basins",
        "morphometry",
        "90m resolution",
        "river networks",
        "global",
        "GIS"
      ]
    },
    {
      "id": "p27",
      "title": "Global Stable Isotope Dataset for Surface Water",
      "authors": "Terzer-Wassmuth S., Wassenaar L.I., et al.",
      "journal": "Earth System Science Data",
      "year": 2025,
      "doi": "10.5194/essd-17-2135-2025",
      "url": "https://doi.org/10.5194/essd-17-2135-2025",
      "category": "Hydrology",
      "description": "Hydrogen and oxygen isotope measurements from 22,389 surface water stations worldwide (1956–2023), comprising 102,511 records for tracing water cycle processes across seven continents.",
      "openAccess": true,
      "tags": [
        "stable isotopes",
        "deuterium",
        "oxygen-18",
        "surface water",
        "water cycle",
        "global"
      ]
    },
    {
      "id": "p28",
      "title": "A data set of global river networks and water resources zones v2",
      "authors": "Yan D., He Y., et al.",
      "journal": "Scientific Data",
      "year": 2022,
      "doi": "10.1038/s41597-022-01888-0",
      "url": "https://doi.org/10.1038/s41597-022-01888-0",
      "category": "Hydrology",
      "description": "Version 2 of a global dataset delineating river networks and water resources zones, providing hierarchical basin boundaries and drainage area calculations for water resources planning.",
      "openAccess": true,
      "tags": [
        "river networks",
        "water resources zones",
        "basin boundaries",
        "drainage",
        "global"
      ]
    },
    {
      "id": "p29",
      "title": "Global Aridity Index and Potential Evapotranspiration Database v3",
      "authors": "Zomer R.J., Xu J., Trabucco A.",
      "journal": "Scientific Data",
      "year": 2022,
      "doi": "10.1038/s41597-022-01493-1",
      "url": "https://doi.org/10.1038/s41597-022-01493-1",
      "category": "Climate",
      "description": "Version 3 of the Global Aridity Index providing high-resolution (30 arc-seconds) global maps of aridity index and reference evapotranspiration based on the Penman-Monteith method.",
      "dataUrl": "https://figshare.com/articles/dataset/Global_Aridity_Index_and_Potential_Evapotranspiration_ET0_Climate_Database_v2/7504448",
      "openAccess": true,
      "tags": [
        "aridity index",
        "potential evapotranspiration",
        "Penman-Monteith",
        "high-resolution",
        "global"
      ]
    },
    {
      "id": "p30",
      "title": "Global daily 1km land surface precipitation based on cloud cover-informed downscaling",
      "authors": "Karger D.N., Conrad O., et al.",
      "journal": "Scientific Data",
      "year": 2021,
      "doi": "10.1038/s41597-021-01084-6",
      "url": "https://doi.org/10.1038/s41597-021-01084-6",
      "category": "Climate",
      "description": "CHELSA-W5E5 provides global daily precipitation at 1 km resolution by downscaling ERA5 reanalysis using cloud cover information and orographic predictors for improved local accuracy.",
      "dataUrl": "https://chelsa-climate.org/",
      "openAccess": true,
      "tags": [
        "precipitation",
        "1km resolution",
        "downscaling",
        "cloud cover",
        "CHELSA",
        "daily"
      ]
    },
    {
      "id": "p31",
      "title": "FutureStreams — A global dataset of future streamflow and water temperature",
      "authors": "Bosmans J., Wanders N., Bierkens M.F.P., et al.",
      "journal": "Scientific Data",
      "year": 2022,
      "doi": "10.1038/s41597-022-01410-6",
      "url": "https://doi.org/10.1038/s41597-022-01410-6",
      "category": "Hydrology",
      "description": "Global projections of future streamflow and water temperature at ~10 km resolution using PCR-GLOBWB forced with five GCMs under multiple climate scenarios up to 2099.",
      "openAccess": true,
      "tags": [
        "streamflow projections",
        "water temperature",
        "climate change",
        "global hydrology"
      ]
    },
    {
      "id": "p32",
      "title": "EStreams — An integrated dataset of streamflow, hydro-climatic and landscape variables for Europe",
      "authors": "Nascimento L.P., Messager M.L., Gudmundsson L., et al.",
      "journal": "Scientific Data",
      "year": 2024,
      "doi": "10.1038/s41597-024-03706-1",
      "url": "https://doi.org/10.1038/s41597-024-03706-1",
      "category": "Hydrology",
      "description": "Hydro-climatic variables and landscape descriptors for 17,130 European catchments spanning up to 120 years, including streamflow indices, climate signatures, and catchment attributes.",
      "openAccess": true,
      "tags": [
        "European hydrology",
        "streamflow",
        "catchment attributes",
        "landscape descriptors"
      ]
    },
    {
      "id": "p33",
      "title": "GloLakes — Water storage dynamics for 27,000 lakes globally from 1984 to present",
      "authors": "Hugonnet R., Dussaillant I., Huss M., et al.",
      "journal": "Earth System Science Data",
      "year": 2024,
      "doi": "10.5194/essd-16-201-2024",
      "url": "https://doi.org/10.5194/essd-16-201-2024",
      "category": "Water Resources",
      "description": "Global lake water storage dynamics for 27,000+ lakes from satellite altimetry and optical imaging (Landsat, Sentinel-2) from 1984 to present.",
      "openAccess": true,
      "tags": [
        "lake water storage",
        "satellite altimetry",
        "Landsat",
        "global lakes",
        "remote sensing"
      ]
    },
    {
      "id": "p34",
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      "title": "ReaLSAT — A global dataset of reservoir and lake surface area variations",
      "authors": "Khandelwal A., Karpatne A., Ravirathinam P., et al.",
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      "title": "GLOBathy — The global lakes bathymetry dataset",
      "authors": "Khazaei B., Read L.K., Casali M., et al.",
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      "title": "GlobSnow v3.0 — Northern Hemisphere snow water equivalent dataset",
      "authors": "Luojus K., Pulliainen J., Takala M., et al.",
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      "title": "GRQA — Global River Water Quality Archive",
      "authors": "Virro H., Amatulli G., Kmoch A., et al.",
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      "year": 2021,
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      "title": "GloRiSe — A global database on river sediment composition",
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      "title": "The Global Dam Watch database of river barrier and reservoir information",
      "authors": "Lehner B., Beames P., Mulligan M., et al.",
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      "title": "Global Dam Tracker — A database of more than 35,000 dams with location and attributes",
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      "title": "Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures",
      "authors": "Khan Z., Thompson I., Vernon C.R., et al.",
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      "title": "A new dataset of river flood hazard maps for Europe and the Mediterranean Basin",
      "authors": "Dottori F., Alfieri L., Bianchi A., et al.",
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      "title": "FLODIS — Human displacements, fatalities, and economic damages linked to remotely observed floods",
      "authors": "Mester B., Frieler K., Schewe J.",
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      "title": "Global annual wetland dataset at 30 m with fine classification from 2000 to 2022",
      "authors": "Zhang X., Liu L., Zhao T., et al.",
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      "title": "GRILSS — Opening the gateway to global reservoir sedimentation data",
      "authors": "Minocha S., Hossain F.",
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      "title": "Annual mass change of the world's glaciers from 1976 to 2024",
      "authors": "Dussaillant I., Hugonnet R., Huss M., et al.",
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      "title": "GlaThiDa v3 — Worldwide database of glacier thickness observations",
      "authors": "Welty E., Zemp M., Navarro F., et al.",
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      "year": 2020,
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      "title": "NH-SWE — Northern Hemisphere Snow Water Equivalent from in situ snow depth time series",
      "authors": "Fontrodona-Bach A., Schaefli B., Woods R., et al.",
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      "title": "Global WaterPack — Global surface water dynamics at daily resolution (2003–2022)",
      "authors": "Klein I., Dietz A., Gessner U., et al.",
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      "authors": "Nagel G.W., Darby S.E., Leyland J.",
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      "authors": "Lv M., Zha Y., et al.",
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      "title": "CAMELS-H — A large-sample hourly hydrometeorological dataset for CONUS watersheds",
      "authors": "Tran V.N., Xu D., Nguyen T.V., et al.",
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      "title": "Remote sensing-based extension of GRDC discharge time series",
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      "title": "Satellite-derived multivariate lake physical variable timeseries for climate studies",
      "authors": "Carrea L., Crétaux J.-F., Merchant C.J., et al.",
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      "title": "GOODD — A global dataset of more than 38,000 georeferenced dams",
      "authors": "Mulligan M., van Soesbergen A., Saenz L.",
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      "title": "GMIE — Global maximum irrigation extent and central pivot irrigation dataset",
      "authors": "Tian F., Wu B., Zeng H., et al.",
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      "year": 2025,
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      "authors": "Mortimer C., Vionnet V.",
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      "authors": "Van Tricht K., Degerickx J., Gilliams S., et al.",
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      "title": "A dataset of remote-sensed Forel-Ule Index for global inland waters during 2000–2018",
      "authors": "Wang S., Li J., Zhang W., et al.",
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      "authors": "Pitarch J., Bellacicco M., van der Woerd H.J.",
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      "authors": "Zhu J., Chen H., Guo X.",
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      "year": 2024,
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      "authors": "Hong Z., Long D., Li X., et al.",
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      "authors": "Xue K., Ma R., Zhu G., et al.",
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      "year": 2024,
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      "authors": "Pohl F., Rakovec O., Rebmann C., et al.",
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}