Aller au contenu

Données ouvertes

Bibliothèque

Jeux de données ouverts, entièrement documentés — interrogeables ici, et lisibles par n’importe quel LLM.

Les titres et les descriptions proviennent des sources de données, en anglais.

3 jeux de données

metros
  • Federal Housing Finance Agency

    US metro house-price momentum intelligence (quarterly)

    Quarterly US metro house-price momentum intelligence from the Federal Housing Finance Agency all-transactions House Price Index (keyless CSV, 1980Q1 = 100): index levels for 370 metropolitan statistical areas back to 1991Q1, with YoY / QoQ / 2-quarter-annualized growth, a documented 0-100 price-momentum score with per-quarter metro ranks, expanding / cooling / trailing-4-quarter-record-high flags, and quarter-level context: the national metro spread (divergence gauge). The metro companion to the state panel. Caveats: the latest quarter is preliminary and may be revised; all-transactions indexes blend sales with appraisal data and are noisier than purchase-only; the index is not seasonally adjusted. US federal public-domain data (17 USC 105), attribution required per FHFA terms; source: Federal Housing Finance Agency.

    • housing
    • house-prices
    • metros
    • us
    lignes
    52 540
    Qualité
    100
    Mis à jour
    29 sept. 2026
    À jour
    Licence
    Usage commercial OK
  • NASA POWER

    Metro daily thermal-demand intelligence (NASA POWER)

    Daily heating/cooling degree-day panel for the 20 North-American prediction metros (15 US + 5 CA), from keyless NASA POWER daily 2-meter air temperature (2020-01-01 -> latest POWER day, ~2-day lag). Daily HDD/CDD (base 65F), trailing 7/30-day thermal loads, same-day-of-year anomalies vs a trailing-5-year baseline, heat-wave/cold-snap flags (metro 95th percentiles), season flags, and a documented 0-100 thermal_demand_score. The current daily companion to the weekly NOAA-GSOD metro_degree_days panel (which ends Aug 2025). Joinable by (date, metro) to Shopify/Stripe/HubSpot data. Caveats: POWER is a reanalysis/model blend, not station observations; first 6 days per metro lack a 7-day window (NaN, never padded); anomaly baselines need 3+ prior same-doy years. NASA US-government data, no copyright restriction (CC0-1.0), commercial use allowed.

    • weather
    • temperature
    • degree-days
    • daily
    lignes
    49 220
    Qualité
    98
    Mis à jour
    29 sept. 2026
    Vieillissant
    Licence
    Usage commercial OK
  • NOAA National Centers for Environmental Information

    US metro observed-weather demand panel (daily)

    Daily observed-weather demand panel for 15 US metros from NOAA NCEI GHCN-Daily, fetched keyless two ways: the trailing 365 days of observed TMAX/TMIN, precipitation, snowfall, snow depth and wind at the metro airport station via the NCEI Data Access Service (daily-summaries), and the 10-year (2016-2025) day-of-year climatology baseline from the per-station bulk files. Per (date, metro): daily mean temperature, HDD18/CDD18 degree-days, temperature and precipitation anomaly z-scores versus a 10-year (2016-2025) day-of-year climatology, heat-wave / cold-snap / heavy-rain / snow-day / high-wind flags, a pleasant-day flag, and a documented 0-100 weather-demand score with per-day cross-metro rank — high means pleasant foot-traffic/shopping weather. Same 15 metro keys (ICAO) as metro_degree_days / metro_daylight_intel for 1:1 joins; the 5 Canadian metros are excluded because GHCN-Daily's Canadian airport stations are stale in NCEI's feed. GHCN-Daily is U.S. federal public domain (commercial reuse allowed); source: NOAA National Centers for Environmental Information.

    • weather
    • us
    • daily
    • signals
    lignes
    5 475
    Qualité
    100
    Mis à jour
    29 sept. 2026
    Vieillissant
    Licence
    Usage commercial OK

Utiliser votre propre clé d’IA

Une fois l’allocation gratuite du jour épuisée, les fonctions d’IA peuvent passer par votre propre compte fournisseur.

Conservée uniquement dans cet onglet (effacée à sa fermeture) et envoyée avec chaque requête d’IA. Nos serveurs l’utilisent pour cette requête et ne la stockent ni ne la journalisent jamais.