Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/132733
Title: BULL Database - Spanish Basin attributes for Unravelling Learning in Large-sample hydrology
Authors: Senent-Aparicio, Javier
Castellanos-Osorio, Gerardo
Segura-Mendez, Francisco
Lopez-Ballesteros, Adrian
Jimeno-Saez, Patricia
Pérez Sánchez, Julio 
UNESCO Clasification: 3301 Ingeniería y tecnología aeronáuticas
3308 Ingeniería y tecnología del medio ambiente
Keywords: Hydrometeorological Time-Series
Landscape Attributes
Catchment Attributes
Environmental Sciences
Data Set, et al
Issue Date: 2024
Journal: Scientific data 
Abstract: 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
Source: Scientific Data [ISSN 2052-4463], v. 11 (737), (Julio 2024)
Appears in Collections:Artículos
Adobe PDF (2,22 MB)
Show full item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.