{
  "dates": [
    {
      "date": "2020-07-01",
      "dateType": "Issued"
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      "title": "ISIMIP3b lakes input data"
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  "subjects": [
    {
      "subject": "EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > FRESHWATER ECOSYSTEMS > LAKE/POND",
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  "descriptions": [
    {
      "description": "The data are derived from the HydroLAKES v1.0 (Messager et al., 2016) and GRanD v1.3 (Lehner et al., 2011) databases and rasterized using the polygon_to_cellareafraction tool (Vanderkelen 2021, available on GitHub), and mapped to 0.5 degrees resolution. Time steps represent increasing reservoirs in their construction year, as given by GRanD.",
      "descriptionType": "Methods"
    },
    {
      "description": "The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.<br>The ISIMIP3b part of the third simulation round is dedicated to a quantification of climate-related risks at different levels of global warming and socio-economic change. ISIMIP3b group I simulations are based on historical climate change as simulated in CMIP6 combined with observed historical socio-economic forcing. ISIMIP3b group II simulations are based on climate change according to the CMIP6 future projections combined with socio-economic forcings fixed at 2015 levels. ISIMIP3b group III simulations additionally account for future changes in socio-economic forcing.<br>This dataset contains the lake area fraction (percentage of lakes in a grid cell) and the lake mask (total lake surface area in a grid cell, average surface area of lakes in grid cell) for the ISIMIP3b simulation round. It accounts for growing lake area fraction due to reservoir construction.",
      "descriptionType": "Abstract"
    }
  ],
  "geoLocations": [
    {
      "geoLocationBox": {
        "eastBoundLongitude": 179.5,
        "northBoundLatitude": 89.5,
        "southBoundLatitude": -89.5,
        "westBoundLongitude": -179.5
      },
      "geoLocationPlace": "global"
    }
  ],
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  "publicationYear": "2020",
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      "citation": "ISIMIP3 simulation protocol (2020) https://www.isimip.org/protocol/3/",
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      "relatedIdentifier": "https://www.isimip.org/protocol/3/",
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    },
    {
      "citation": "Messager, M., Lehner, B., Grill, G. et al. Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat Commun 7, 13603 (2016). https://doi.org/10.1038/ncomms13603",
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      "relatedIdentifier": "https://doi.org/10.1038/ncomms13603",
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    },
    {
      "citation": "Lehner, B., Liermann, C.R., Revenga, C., V\u00f6r\u00f6smarty, C., Fekete, B., Crouzet, P., D\u00f6ll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J.C., R\u00f6del, R., Sindorf, N. and Wisser, D. (2011), High\u2010resolution mapping of the world's reservoirs and dams for sustainable river\u2010flow management. Frontiers in Ecology and the Environment, 9: 494-502. https://doi.org/10.1890/100125",
      "relationType": "Cites",
      "relatedIdentifier": "https://doi.org/10.1890/100125",
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    },
    {
      "citation": "HydroLAKES Version 1.0 https://www.hydrosheds.org/pages/hydrolakes",
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    {
      "citation": "The Global Reservoir and Dam Database (GRanD) v1.3 http://globaldamwatch.org/grand/",
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      "relatedIdentifier": "http://globaldamwatch.org/grand/",
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    },
    {
      "citation": "Inne Vanderkelen, Daniel Mercado-Bettin, Jacob Schewe (2022): ISIMIP3b lakes fraction input data. Version 1.1. ISIMIP Repository. https://doi.org/10.48364/ISIMIP.383948.1.",
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