Open Climate Data Library

Use this library to explore our 2025 datasets by sector, region, and metric. Each series includes a description, source citations, processing steps, and uncertainty notes. You can filter to find power-sector emissions, temperature anomalies, drought indicators, and clean energy capacity additions. Data files come with version tags and checksums for reproducibility. Where methods rely on models, we include validation summaries and links to code. If you have questions about coverage or licensing, reach out via the contact page and we’ll guide you to the most relevant tables and charts. 📊

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Charts and code on a laptop representing open data work.

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Power sector hourly emissions, 2019–2025

Hourly CO₂ intensity for major grids with renewable and demand overlays. Includes uncertainty ranges and code references.

PowerEmissions

Method See insight

Solar and wind capacity additions by market

Quarterly additions with capex ranges and interconnection status. Useful for planning and grid integration scenarios.

PowerRenewables

Method See trend

Heat and fire weather indicators

Daily heat indices and fire weather metrics with thresholds aligned to health advisories and land management plans.

RiskHealth

Method Build resilience

Water stress and drought severity

Monthly indicators derived from precipitation, soil moisture, and evapotranspiration with basin-level rollups.

WaterAgriculture

Method See insights

Industrial process emissions

Facility-level proxies with sectoral aggregation for cement, steel, and chemicals. Includes uncertainty and reporting lags.

IndustryEmissions

Method Reduce

Global temperature anomalies

Monthly global and regional anomalies relative to 1850–1900 with cross-dataset comparisons and blending notes.

TemperatureGlobal

Method See context

Licensing, citations, and versioning

Our default license permits broad use with attribution. Each dataset page lists original sources and any transformations. Version tags follow semantic rules so that downstream users can pin to specific releases. If a data error is found, we publish a correction note and updated checksum. To cite our work, include the dataset title, version, access date, and the ClimateSignal Research DOI if provided. For questions about commercial use, contact us and we will respond with guidance tailored to your application.

License overview

Datasets are shared under permissive terms unless otherwise noted. Attribution must include ClimateSignal Research and original sources.

Versioning and checksums

We use semantic versions (MAJOR.MINOR.PATCH) and provide SHA-256 checksums for each file to ensure integrity.

How to cite

Include dataset name, version, year, access date, and URL. Example: ClimateSignal Research (2025), Global temperature anomalies v1.2, accessed 2025-11-10.