US coastal sea-level signals (tide gauges, rise gauges)
Monthly coastal sea-level signals from eight long-record NOAA CO-OPS tide gauges (The Battery, Atlantic City, Charleston, Mayport, Key West, San Francisco, Port Orford, Juneau): monthly mean sea level with 3-month and 12-month changes, 30-month change volatility, 3-sigma anomaly flags, naive-drift forecasts, trailing-10-year rise trends (mm/year), rise-acceleration flags, record-high flags, and fast-rise flags. The observed coastal sea-level lens on climate change — the ocean-surface consequence to co2-growth (driver) and city-climate-stress (heat). All rows normalized to country_code USA. Raw data: NOAA CO-OPS (keyless, public domain).
Qualité
Attribution
NOAA Center for Operational Oceanographic Products (derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference month (first of month) for the monthly mean sea level. (unit: ISO date) |
| country | string | All stations are US tide gauges — country is 'United States'. |
| country_code | string | All stations are US tide gauges — country_code is 'USA'. |
| series_id | string | Connector station code, e.g. THE_BATTERY, SAN_FRANCISCO. |
| series_label | string | Station label, e.g. 'Monthly mean sea level, The Battery NY (8518750)'. |
| value | float | Monthly mean sea level (MSL) from the CO-OPS monthly_mean product. (unit: meters (station datum)) |
| momentum_3m | float | |
| yoy_change | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rise_trend_10y | float | |
| accel_flag | integer | |
| record_high_flag | integer | |
| fast_rise_flag | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | yoy_change | volatility_30d | anomaly_flag | forecast_1m | rise_trend_10y | accel_flag | record_high_flag | fast_rise_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1900-01-01 | United States | USA | SAN_FRANCISCO | Monthly mean sea level, San Francisco CA (9414290) | -0.121 | — | — | — | 0 | — | — | 0 | 1 | 0 |
| 1900-01-01 | United States | USA | THE_BATTERY | Monthly mean sea level, The Battery NY (8518750) | -0.462 | — | — | — | 0 | — | — | 0 | 1 | 0 |
| 1900-02-01 | United States | USA | SAN_FRANCISCO | Monthly mean sea level, San Francisco CA (9414290) | -0.194 | — | — | — | 0 | — | — | 0 | 0 | 0 |
| 1900-02-01 | United States | USA | THE_BATTERY | Monthly mean sea level, The Battery NY (8518750) | -0.432 | — | — | — | 0 | — | — | 0 | 1 | 0 |
| 1900-03-01 | United States | USA | SAN_FRANCISCO | Monthly mean sea level, San Francisco CA (9414290) | -0.173 | — | — | — | 0 | — | — | 0 | 0 | 0 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/us_sealevel_signals/us_coastal_sea_level_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/us_sealevel_signals/us_coastal_sea_level_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API: https://datazimuts.com/v1/datasets/us_sealevel_signals/us_coastal_sea_level_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.