Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/132733
Título: BULL Database - Spanish Basin attributes for Unravelling Learning in Large-sample hydrology
Autores/as: Senent-Aparicio, Javier
Castellanos-Osorio, Gerardo
Segura-Mendez, Francisco
Lopez-Ballesteros, Adrian
Jimeno-Saez, Patricia
Pérez Sánchez, Julio 
Clasificación UNESCO: 3301 Ingeniería y tecnología aeronáuticas
3308 Ingeniería y tecnología del medio ambiente
Palabras clave: Hydrometeorological Time-Series
Landscape Attributes
Catchment Attributes
Environmental Sciences
Data Set, et al.
Fecha de publicación: 2024
Publicación seriada: Scientific data 
Resumen: We 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.
URI: http://hdl.handle.net/10553/132733
ISSN: 2052-4463
DOI: 10.1038/s41597-024-03594-5
Fuente: Scientific Data [ISSN 2052-4463], v. 11 (737), (Julio 2024)
Colección:Artículos
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