data resources
This page brings together key data resources developed within climes.
CLIMK–WINDS — Storm Database Files for Extreme European Winter Windstorms
Description
CLIMK–WINDS is a curated database of extreme European winter windstorms, developed to support research on climate extremes, storm impacts, and risk assessment. The dataset provides harmonised storm footprint information for the most severe winter windstorms affecting Europe.
Content and scope
Version 2 of the database contains storm footprint data for the 50 most extreme European winter windstorms identified across four input sources. These storms span the period 1995–2015 and represent high-impact winter wind events across Europe.
Methods and sources
The database is constructed from four complementary climate and reanalysis products, with one NetCDF file per source: ERA5 reanalysis, COSMO-REA6 reanalysis, CCLM_ERA5_EUR-11 regional climate model simulation, and CCLM_ERA5_CEU-3 regional climate model simulation. The methodology and storm selection are fully described in the associated Earth System Science Data publication.
Data format
The dataset is distributed as NetCDF files containing storm footprint information, accompanied by a README file describing structure and usage.
Related publication
Flynn, C. M., Moemken, J., Pinto, J. G., Schutte, M. K., & Messori, G. (2025). CLIMK–WINDS: a new database of extreme European winter windstorms. Earth System Science Data, 17, 4431–4453.
https://doi.org/10.5194/essd-17-4431-2025
Publisher and access
Published on Zenodo in April 2025 (Version 2). The dataset is openly available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
SHEDIS-Temperature — Linking temperature-related disaster impacts to subnational hazard and exposure data
Description
SHEDIS-Temperature is a curated dataset linking national disaster impact records for temperature-related extremes with subnational information on physical hazard characteristics and human exposure. It is designed to support analyses of how heatwaves and cold waves translate into societal impacts across spatial scales.
Content and scope
Version 1.2 includes 382 heatwaves and cold waves recorded between 1979 and 2018 in the international disaster database EM-DAT. For each event, the dataset connects reported disaster impacts with subnational meteorological indicators and population exposure, enabling more spatially resolved assessments of temperature-related risks and losses.
Methods and sources
The dataset integrates national disaster impact data from EM-DAT with subnational climate and exposure information derived from gridded temperature thresholds and administrative boundary data. It includes both event-level and subdivision-level representations, allowing analyses at multiple spatial resolutions.
Data format
SHEDIS-Temperature is distributed through Harvard Dataverse and includes tabular files and geospatial datasets (GeoPackage format), as well as archived files describing threshold-exceeding temperature events.
Related publication
The dataset is supplemented by a data descriptor article (pre-print):
Lindersson & Messori (2025), SHEDIS-Temperature: Linking temperature-related disaster impacts to subnational data on meteorology and human exposure.
Publisher and access
Published in 2025 in the Sara Lindersson Dataverse (Harvard Dataverse). The dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Wikimpacts — A global climate impact database based on automated information extraction from Wikipedia
Description
Wikimpacts 1.0 is a global database of climate impacts generated using automated natural language processing applied to Wikipedia articles. It captures impacts of extreme events such as storms, heatwaves, floods, droughts, and wildfires at event, national, and sub-national levels, supporting research on impacts, early warning, and disaster risk management.
Content and scope
The dataset covers 2,928 extreme climate events from 1034 to 2024, derived from 3,368 Wikipedia articles. It includes 20,186 national-level and 36,394 sub-national entries. Impact categories span fatalities, injuries, displaced and affected populations, homelessness, damaged buildings, and insured and total economic losses, with minimum, maximum, and approximate values where applicable.
Methods
Information extraction is performed using the GPT-4o large language model, combined with document selection, post-processing, and data consolidation workflows.
Data format
The database is distributed as a SQL (.db) file comprising event-level summaries, national and sub-national impact tables, and associated GeoJSON objects for spatial referencing.
Publication and citation
Ni Li et al. (2025). Wikimpacts — A global climate impact database based on automated information extraction from Wikipedia. Dataset version 1.0. Bolin Centre Database.Publisher and access
Published by the Bolin Centre Database on 23 January 2025. The dataset is available under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0).
DOI