Abteilung Systemanalyse, Integrated Assessment und Modellierung

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      originalId => protected33249 (integer)
      authors => protected'do Nascimento, T. V. M.; Rudlang, J.; Höge, M.; va
         n der Ent, R.; Chappon, M.; Seibert, J.; Hrachowitz, M.;
          Fenicia, F.' (169 chars)
      title => protected'EStreams: an integrated dataset and catalogue of streamflow, hydro-climatic 
         and landscape variables for Europe' (110 chars)
      journal => protected'Scientific Data' (15 chars)
      year => protected2024 (integer)
      volume => protected11 (integer)
      issue => protected'1' (1 chars)
      startpage => protected'879 (19 pp.)' (12 chars)
      otherpage => protected'' (0 chars)
      categories => protected'' (0 chars)
      description => protected'Large-sample hydrology datasets have become increasingly available, contribu
         ting to significant scientific advances. However, in Europe, only a few such
          datasets have been published, capturing only a fraction of the wealth of in
         formation from national data providers in terms of available spatial density
          and temporal extent. We present “EStreams”, an extensive dataset of hyd
         ro-climatic variables and landscape descriptors and a catalogue of openly av
         ailable stream records for 17,130 European catchments. Spanning up to 120 ye
         ars, the dataset includes streamflow indices, catchment-aggregated hydro-cli
         matic signatures and landscape attributes (topography, soils, geology, veget
         ation and landcover). The catalogue provides detailed descriptions that allo
         w users to directly access streamflow data sources, overcoming challenges re
         lated to data redistribution policies, language barriers and varied data por
         tal structures. EStreams also provides Python scripts for data retrieval, ag
         gregation and processing, making it dynamic in contrast to static datasets. 
         This approach enables users to update their data as new records become avail
         able. Our goal is to extend current large-sample datasets and further integr
         ate hydro-climatic and landscape data across Europe.' (1268 chars)
      serialnumber => protected'' (0 chars)
      doi => protected'10.1038/s41597-024-03706-1' (26 chars)
      uid => protected33249 (integer)
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