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Catalog / NASA Goddard Institute for Space Studies (GISS) — GISTEMP (GISS Surface Temperature Analysis)
nasa_giss

NASA Goddard Institute for Space Studies (GISS) — GISTEMP (GISS Surface Temperature Analysis)

Open · redistributedU.S. Government Work (public domain)Environment & Climate

NASA GISS Surface Temperature Analysis (GISTEMP v4) ingest. Downloads global/hemispheric/zonal mean temperature anomaly tables. Source: https://data.giss.nasa.gov/gistemp/ (public domain, NASA) Output: data/clean_full/nasa_giss/giss_temp.parquet Series key format: GISS:{table}:{period_label} e.g.…

Redistributable. This source is served as canonical Parquet under the license below, with attribution and provenance preserved.

Coverage

Series catalogued
68
Temporal coverage
1880-01-01 – 2026-12-31
Categories
Environment & Climate

Licensing & provenance

License
U.S. Government Work (public domain)
License URL
https://www.usa.gov/government-works
Required attribution
Credit: NASA GISS/GISTEMP (NASA Goddard Institute for Space Studies)
Redistribution
Permitted (served here)
Commercial use
Yes
Modification
Permitted
Provider homepage
https://data.giss.nasa.gov/gistemp/
Provider terms
https://data.giss.nasa.gov/gistemp/

How to cite

NASA Goddard Institute for Space Studies (GISS) — GISTEMP (GISS Surface Temperature Analysis). Retrieved from https://data.giss.nasa.gov/gistemp/. Compiled and redistributed by the Elkassabgi Data Library.

Processing: Retrieved from the official source, normalized to a long {series_key, obs_date, value} schema (period-start dates), de-duplicated, and stored as zstd Parquet. Compiled and redistributed by the Elkassabgi Data Library.

Access & mirrors

Download
Select & download nasa_giss series as CSV →
API
Get a free API key, then GET /v1/series/<id>.csv
Canonical landing
https://econdatalibrary.com/nasa_giss
Update cadence
monthly
Automated refresh
live — this database is on the daily update run
Update strategy
overwrite if changed
Storage layout
single parquet: data/clean_full/nasa_giss/giss_temp.parquet (~28 KB). Schema: series_key (str, 'GISS:{table}:{period}'), obs_date (date32), value (float64).

Full description

NASA GISS Surface Temperature Analysis (GISTEMP v4) ingest. Downloads global/hemispheric/zonal mean temperature anomaly tables. Source: https://data.giss.nasa.gov/gistemp/ (public domain, NASA) Output: data/clean_full/nasa_giss/giss_temp.parquet Series key format: GISS:{table}:{period_label} e.g. GISS:global:annual GISS:global:Jan GISS:global:DJF Run: python jobs/ingest_nasa_giss.py

Structured metadata

schema.org/Dataset (Google Dataset Search)
{
  "@context": "https://schema.org/",
  "@type": "Dataset",
  "name": "NASA Goddard Institute for Space Studies (GISS) — GISTEMP (GISS Surface Temperature Analysis)",
  "description": "Global surface temperature anomaly, April (LOTI anomaly vs 1951-1980, degC). GISS. 68 series, 1880–2026. Free download.",
  "url": "https://econdatalibrary.com/nasa_giss",
  "identifier": "nasa_giss",
  "isAccessibleForFree": true,
  "publisher": {
    "@type": "Organization",
    "name": "Econ Data Library",
    "url": "https://econdatalibrary.com"
  },
  "includedInDataCatalog": {
    "@type": "DataCatalog",
    "@id": "https://econdatalibrary.com/#catalog",
    "name": "Econ Data Library",
    "url": "https://econdatalibrary.com/catalog"
  },
  "creator": {
    "@type": "Organization",
    "name": "NASA Goddard Institute for Space Studies",
    "alternateName": "GISS",
    "url": "https://data.giss.nasa.gov/gistemp/"
  },
  "license": "https://www.usa.gov/government-works",
  "keywords": [
    "Environment & Climate",
    "nasa_giss"
  ],
  "temporalCoverage": "1880-01-01/2026-12-31",
  "citation": "NASA Goddard Institute for Space Studies (GISS) — GISTEMP (GISS Surface Temperature Analysis). Retrieved from https://data.giss.nasa.gov/gistemp/. Compiled and redistributed by the Elkassabgi Data Library.",
  "sameAs": [
    "https://huggingface.co/datasets/econdatalibrary-nasa_giss",
    "https://zenodo.org/communities/econdatalibrary"
  ],
  "distribution": [
    {
      "@type": "DataDownload",
      "name": "nasa_giss — CSV",
      "encodingFormat": "text/csv",
      "contentUrl": "https://econdatalibrary.com/download.html?source=nasa_giss",
      "license": "https://www.usa.gov/government-works"
    }
  ]
}
Croissant (ML-ready, schema.org JSON-LD)
{
  "@context": {
    "@language": "en",
    "@vocab": "https://schema.org/",
    "cr": "http://mlcommons.org/croissant/",
    "data": {
      "@id": "cr:data",
      "@type": "@json"
    },
    "dataType": {
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      "@type": "@vocab"
    },
    "sc": "https://schema.org/",
    "conformsTo": "dct:conformsTo",
    "dct": "http://purl.org/dc/terms/"
  },
  "@type": "sc:Dataset",
  "conformsTo": "http://mlcommons.org/croissant/1.0",
  "name": "nasa_giss",
  "description": "Global surface temperature anomaly, April (LOTI anomaly vs 1951-1980, degC). GISS. 68 series, 1880–2026. Free download.",
  "url": "https://econdatalibrary.com/nasa_giss",
  "creator": {
    "@type": "sc:Organization",
    "name": "NASA Goddard Institute for Space Studies",
    "alternateName": "GISS",
    "url": "https://data.giss.nasa.gov/gistemp/"
  },
  "publisher": {
    "@type": "sc:Organization",
    "name": "Econ Data Library",
    "url": "https://econdatalibrary.com"
  },
  "license": "https://www.usa.gov/government-works",
  "keywords": [
    "Environment & Climate"
  ],
  "temporalCoverage": "1880-01-01/2026-12-31",
  "citation": "NASA Goddard Institute for Space Studies (GISS) — GISTEMP (GISS Surface Temperature Analysis). Retrieved from https://data.giss.nasa.gov/gistemp/. Compiled and redistributed by the Elkassabgi Data Library.",
  "distribution": [
    {
      "@type": "cr:FileObject",
      "@id": "nasa_giss-csv",
      "name": "nasa_giss-csv",
      "description": "Per-series CSV, downloadable with a free API key.",
      "contentUrl": "https://econdatalibrary.com/download.html?source=nasa_giss",
      "encodingFormat": "text/csv"
    }
  ]
}
Part of the Econ Data Library catalog · metadata generated 2026-08-02 from the central registry · browse all datasets
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