| Summary: | This is a pre-release version, while EStreams is under revision. Check out the preprint at: https://doi.org/10.31223/X5M39F EStreams is an extensive catalog of openly available stream records, along with a dataset of hydro-climatic variables and landscape descriptors for +17,000 European catchments. It spans up to 120 years of records. The catalog provides detailed guidance, enabling users to directly access the sources of streamflow used. Additionally, the dataset comprises catchment-aggregated hydro-climatic indices and signatures, as well as landscape attributes and meteorological records. Updates 15 June 2024: version 0.2 General: Added 2,114 new basins: 1,813 in France, 111 in Iceland, 13 in Estonia and 18 in Serbia; exclusion of a total of 31 stations from the previous release due to overlap with the new stations (Serbia and Iceland GRDC). Fix the name of the meteorological variable "mean air pressure at sea level" from "sp_min" to "sp_mean" in all the meteorological time-series files. Inclusion of an appendix folder with licenses information and a further description of the classes names included for land cover and lithology. Fix the name of the monthly streamflow indices from "mothnly" to "monthly". Correction of the name of the static topographical attributes from "estreams_terrain_attributes.csv" to "estreams_topography_attributes.csv". In the "estreams_gauging_stations.csv" file we: Renamed the fields "area", "area_calc" and "area_perc" to respectivelly "area_official", "area_estreams" and "area_rel" for consistency. Added the fields "nested_catchments", "num_days_reliable", "num_days_noflag", "num_days_suspect" and "gauge_flag" were added. Updated the field "gauges_upstream" to include also the basin itself. In the "estreams_streamflow_catalogue.csv" file we: Added the field "download_method". Updated the fields "observations" and "references". In the "estreams_meteorology_coverage.csv" file we: Updated the names of the fields to: stations_num_{p_mean, t_mean, t_min, t_max, sp_mean, rh_mean, ws_mean, ...
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