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        <rdf:value>start=1980-01-01T00:00:00; end=2024-12-31T00:00:00</rdf:value>
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        <dcterms:abstract>We present a gridded dataset for rainfall streamflow modeling that is fully spatially resolved and covers five complete river basins in central Europe: upper Danube, Elbe, Oder, Rhine, and Weser. We compiled meteorological forcings and a variety of ancillary information on soil, rock, land cover, and orography. The data is harmonized to a regular $9km \times 9km$ grid, temporal resolution is daily from 1980 to 2024. We also provide code to further combine our dataset with publicly available river discharge data for end-to-end rainfall streamflow modeling. We have used this data to demonstrate how neural network-driven hydrological modeling can be taken beyond lumped catchments, and want to facilitate direct comparisons between different model types.</dcterms:abstract>
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    <dc:subject>Danube</dc:subject>
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        <hsterms:email>noelia.otero.felipe@hhi.fraunhofer.de</hsterms:email>
        <hsterms:homepage></hsterms:homepage>
        <hsterms:name>Noelia Otero</hsterms:name>
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    <dc:title>Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling</dc:title>
    <dc:language>eng</dc:language>
    <dc:subject>rainfall</dc:subject>
    <dcterms:bibliographicCitation>Vischer, M. A., N. Otero, J. Ma (2026). Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling, HydroShare, https://doi.org/10.4211/hs.d7f2cbb587ab4a75ac7987854e8f62ca</dcterms:bibliographicCitation>
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        <hsterms:fundingAgencyName>European Union Horizon Europe research and innovation program</hsterms:fundingAgencyName>
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        <hsterms:publisherName>Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI)</hsterms:publisherName>
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    <dc:subject>central Europe</dc:subject>
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        <hsterms:homepage></hsterms:homepage>
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        <hsterms:description rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">27387</hsterms:description>
        <hsterms:organization>Fraunhofer Heinrich Hertz Institute</hsterms:organization>
        <hsterms:email>marc.aurel.vischer@hhi.fraunhofer.de</hsterms:email>
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        <hsterms:name>Vischer, Marc Aurel</hsterms:name>
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    <dc:subject>runoff</dc:subject>
    <dc:subject>Elbe</dc:subject>
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        <rdf:value>2026-03-31T21:12:01.587939+00:00</rdf:value>
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        <rdf:value>2025-09-12T09:28:13.526845+00:00</rdf:value>
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        <hsterms:fundingAgencyName>German Federal Ministry for Economic Affairs and Climate Action (BMWK)</hsterms:fundingAgencyName>
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      <hsterms:published>
        <rdf:value>2026-03-31T21:11:58.544655+00:00</rdf:value>
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    <dc:subject>streamflow</dc:subject>
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      <rdf:Description>
        <hsterms:name>Jackie Ma</hsterms:name>
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        <hsterms:organization>Fraunhofer Heinrich Hertz Institute</hsterms:organization>
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    <dc:subject>Rhine</dc:subject>
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        <hsterms:rightsStatement>This resource is shared under the Creative Commons Attribution CC BY.</hsterms:rightsStatement>
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    <dc:subject>Weser</dc:subject>
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