090°Données ouvertes
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.
1 jeux de données
Environment and Climate Change Canada
Daily observed-weather demand panel for the 5 Canadian metros of the 20-metro family (Toronto, Montreal, Vancouver, Calgary, Ottawa) from ECCC MSC GeoMet climate-daily, fetched keyless: the trailing 365 days of observed TMAX/TMIN, precipitation, snowfall and snow depth at the metro airport station, and the 10-year (2016-2025) day-of-year climatology baseline from the same collection. 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 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 ICAO metro keys as the US sibling metro_weather_demand_intel (no key collisions), so the two panels stack into one 20-metro North America panel; same formulas throughout. One deliberate schema difference: ECCC climate-daily publishes daily maximum gust only (no mean-wind column), so the CA panel omits awnd_ms/high_wind_flag and the score's wind penalty is 0 by construction. ECCC data is under the ECCC Data Services End-use Licence v2.1.1 (commercial reuse allowed, attribution required). Who joins this: an online shop or subscription business joins (date, icao) to daily orders/signups to model weather-driven demand in Canada; a sales team joins it to territory-day activity.
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