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Replicable Fine-SpatioTemporal Climate Data for Long-Term Ecology in the Western Mediterranean
dc.contributor.author | Romera-Romera, Daniel | |
dc.contributor.author | Alba Sánchez, María Francisca | |
dc.contributor.author | Abel Schaad, Daniel | |
dc.contributor.author | Nieto Lugilde, Diego | |
dc.date.accessioned | 2025-06-30T11:41:21Z | |
dc.date.available | 2025-06-30T11:41:21Z | |
dc.date.issued | 2025-05-06 | |
dc.identifier.citation | Romera-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.uri | https://hdl.handle.net/10481/104985 | |
dc.description | Tis 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, EU | es_ES |
dc.description.abstract | Despite 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.sponsorship | MICIU/AEI/ 10.13039/501100011033 - NextGenerationEU/PRTR (Project I+D+i TED2021- 132631B-I00) | es_ES |
dc.description.sponsorship | European Union - NextGenerationEU/PRTR (TED2021-130133B-I00) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Replicable Fine-SpatioTemporal Climate Data for Long-Term Ecology in the Western Mediterranean | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1038/s41597-025-05067-9 | |
dc.type.hasVersion | VoR | es_ES |
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