dataset · Global

climate-trace

Hugging Face dataset tjhunter/climate-trace

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Data offered docs-verified: CO2 emissions quantity by source (emissions_quantity) · gas type (5 classes) · year · sector (13 classes) · subsector (73 classes) · source_name · lat/lon coordinates · geometry_ref (admin-unit or facility ID)
Coverage llm-inferred: Global by ENTRY region; DOCS lat/lon range spans -80.51 to 80.7 and -179.88 to 180, but preview rows are Swiss · 2022–2024 seen in preview rows only; full span not stated
Resolution llm-inferred: Mixed: admin-region rows (gadm_* geometry_ref) and facility-level point rows (trace_* with lat/lon); no explicit resolution stated
Formats docs-verified: parquet
Access docs-verified: Licence: OpenRAIL; no authentication listed (auth null in ENTRY)

Use cases llm-inferred: Sector and subsector CO2 baseline for the greenhouse gas section of an environmental statement · Screening nearby point emitters (facilities, airports, refineries) by lat/lon for site context · Admin-region emissions context for planning or net-zero strategy reporting
Audience llm-inferred: environmental consultants · planners · GIS analysts · data scientists

Constraints llm-inferred: Preview rows are all Swiss; UK coverage is not shown in DOCS · Full year range not stated; preview shows 2022–2024 only · emissions_quantity includes negative values (removals), so sign handling is needed · No methodology, update cadence or field definitions in DOCS; README content is empty · Large dataset (395,712,295 rows, 9.74 GB) that needs columnar or Dask-style tooling · OpenRAIL licence carries use restrictions; check the licence text before commercial use

Verified 2026-10-15 via HF API: exists; 756 downloads/30d, 2 likes.

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)