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dc.contributor.authorSenent Aparicio, Javier
dc.contributor.authorCastellanos Osorio, Gerardo
dc.contributor.authorSegura Méndez, Francisco
dc.contributor.authorLópez Ballesteros, Adrián
dc.contributor.authorJimeno Sáez, Patricia
dc.contributor.authorPérez Sánchez, Julio
dc.date.accessioned2025-10-22T12:38:05Z
dc.date.available2025-10-22T12:38:05Z
dc.date.issued2024-07-06
dc.identifier.citationSenent-Aparicio, J., Castellanos-Osorio, G., Segura-Méndez, F., López-Ballesteros, A., Jimeno-Sáez, P., & Pérez-Sánchez, J. (2024). Bull database – spanish basin attributes for unravelling learning in large-sample hydrology. Scientific Data, 11(1), 737. https://doi.org/10.1038/s41597-024-03594-5es
dc.identifier.urihttp://hdl.handle.net/10952/10342
dc.descriptionSpanish BULL Databasees
dc.description.abstractWe present a novel basin dataset for large-sample hydrological studies in Spain. BULL comprises data for 484 basins, combining hydrometeorological time series with several attributes related to geology, soil, topography, land cover, anthropogenic influence and hydroclimatology. Thus, we followed recommendations in the CARAVAN initiative for generating a truly open global hydrological dataset to collect these attributes. Several climatological data sources were used, and their data were validated by hydrological modelling. One of the main novelties of BULL compared to other national-scale datasets is the analysis of the hydrological alteration of the basins included in this dataset. This aspect is critical in countries such as Spain, which are characterised by rivers suffering from the highest levels of anthropisation. The BULL dataset is freely available at https://zenodo.org/records/10605646.es
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleBULL Database – Spanish Basin attributes for Unravelling Learning in Large-sample hydrologyes
dc.typejournal articlees
dc.rights.accessRightsopen accesses
dc.relation.projectID101017861; PID2021-128126OA-I00es
dc.journal.titleScientific Dataes
dc.volume.number11es
dc.issue.number737es
dc.description.disciplineIngeniería, Industria y Construcciónes
dc.identifier.doi10.1038/s41597-024-03594-5es
dc.description.facultyEscuela Politécnicaes


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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