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dc.contributor.authorRomera-Romera, Daniel
dc.contributor.authorAlba Sánchez, María Francisca 
dc.contributor.authorAbel Schaad, Daniel 
dc.contributor.authorNieto Lugilde, Diego
dc.date.accessioned2025-06-30T11:41:21Z
dc.date.available2025-06-30T11:41:21Z
dc.date.issued2025-05-06
dc.identifier.citationRomera-Romera, D., Alba-Sánchez, F., Abel-Schaad, D. et al. Replicable Fine-Spatio-Temporal Climate Data for Long-Term Ecology in the Western Mediterranean. Sci Data 12, 747 (2025). [DOI: 10.1038/s41597-025-05067-9]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/104985
dc.descriptionTis publication is part of the project I+D+i TED2021- 132631B-I00 funded by MICIU/AEI/ 10.13039/501100011033 and by NextGenerationEU/PRTR. Grant TED2021- 130133B-I00 to Diego Nieto Lugilde through Conserva3 project, funded by MCIN/AEI/10.13039/501100011033 and the “European Union NextGenerationEU/PRTR”. Grant to Diego Nieto Lugilde and Daniel Romera Romera through the project PID2022-140794NB-I00 funded by MICIU/AEI /10.13039/501100011033 and by FEDER, EUes_ES
dc.description.abstractDespite the increasing availability of climate data through various databases, obtaining fine temporal and spatial resolution data for past periods remains challenging. Here, we present (i) a toolkit for applying advanced downscaling techniques to coarse-resolution climate datasets within the widely used R programming framework, and (ii) downscaled data for a region recognized as a global biodiversity hotspot. Specifically, this toolkit consists of two R-packages (dsclim and dsclimtools) that were used to downscale seven climate variables for the Western Mediterranean, providing monthly climate data from 22 ka BP to the year 2100 at a spatial resolution of 11 × 11 km. Our aim is to offer open access to a cutting-edge climate dataset for researchers interested in this region and to encourage the reuse of both the dataset and the toolkit, facilitating the creation of similar high-resolution climate products for other regions. Given the ecological importance of this region, we also provide examples of scientific applications, such as spatio-temporal pattern analysis and ecological niche modeling, demonstrating its scientific value.es_ES
dc.description.sponsorshipMICIU/AEI/ 10.13039/501100011033 - NextGenerationEU/PRTR (Project I+D+i TED2021- 132631B-I00)es_ES
dc.description.sponsorshipEuropean Union - NextGenerationEU/PRTR (TED2021-130133B-I00)es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleReplicable Fine-SpatioTemporal Climate Data for Long-Term Ecology in the Western Mediterraneanes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1038/s41597-025-05067-9
dc.type.hasVersionVoRes_ES


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