ArticleScientific data2025
Replicable Fine-Spatio-Temporal Climate Data for Long-Term Ecology in the Western Mediterranean.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Replicable Fine-Spatio-Temporal Climate Data for Long-Term Ecology in the Western Mediterranean.Scientific data · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.