Datchthana/EarthquakeDatasetThailand

Thailand Earthquake Dataset

Seismic event data from the Thai Meteorological Department (TMD) DailySeismicEvent API, collected by an Airflow pipeline (the earthquake side of the same Air_Pipeline_2 project as Datchthana/WeatherDatasetThailand) that polls roughly hourly.

This is a separate repo from the weather dataset on purpose — it only covers earthquakes, no air-quality/weather data.

Files

File	Rows (as of 2026-08-08)	Description
earthquake_events.csv	923	Cleaned, deduplicated event list — one row per unique quake, deduped on (datetime_utc, lat, lon). Recommended table for most uses.
earthquake_reports_raw.csv	525	Full raw archive: one row per API poll, each containing the complete JSON payload TMD returned at that moment (DailyEarthquakes list + response header). Kept for audit/reproducibility.

earthquake_reports_raw.csv is much bigger (~180 MB vs ~0.2 MB) than its row count suggests: TMD's API returns a rolling window of recent events on every call, so consecutive polls re-embed mostly the same events verbatim inside the JSON payload. earthquake_events.csv is the deduplicated result of parsing all of those payloads over time — use that unless you specifically need the raw API responses.

Schema — earthquake_events.csv

• datetime_utc / datetime_thai — event time in UTC and Thailand local time
• magnitude — Richter magnitude
• depth_km — focal depth in km
• lat / lon — epicenter coordinates
• title_th — original Thai-language title string from TMD
• tambon_th / amphoe_th / province_th — Thai administrative location parsed out of title_th (null when the quake is outside Thailand)
• location_en — English location name
• is_domestic — true if the event was located within a Thai province
• created_at — when the row was first written to the database

Schema — earthquake_reports_raw.csv

• fetched_at — when this API poll happened
• payload — the full TMD API JSON response as a string (header + list of events as returned, before parsing/cleaning)

⚠️ Known data gaps

Same pipeline host as the weather dataset, same downtime pattern — mostly Windows Update restarts. Checked against fetched_at in earthquake_reports_raw.csv (2026-07-11 to 2026-08-08, ~28 days): 14 gaps longer than 1.5h, totaling roughly 6 days of missed polls. The largest gaps line up almost exactly with the ones documented in WeatherDatasetThailand (same host, same outage):

Gap start	Gap end	Duration	Likely cause
2026-07-15 23:00	2026-07-19 11:13	~3d 12h	Windows Update restart — pipeline wasn't manually restarted afterward
2026-07-27 10:00	2026-07-29 14:00	~2d 4h	Windows Update restart
2026-08-06 00:00	2026-08-06 04:24	~4.5h	Windows Update restart
2026-08-06 14:01	2026-08-06 18:00	~4h	Windows Update restart

Plus several smaller ~2h gaps (single missed hourly poll) scattered through late July/early August, also mostly Windows Update restarts.

Unlike the weather pipeline, a short gap here usually doesn't lose data — TMD's rolling-window report tends to still contain an event on the next successful poll. But the 3.5-day gap is long enough that any event whose window had already rolled off the API response by the time the pipeline came back up is permanently missing from this dataset.

Source & license

Data is sourced from the public TMD DailySeismicEvent API. TMD's own data catalog (catalog.tmd.go.th) lists an "Open Data Common" license on its datasets, which is why this repo defaults to CC BY 4.0 (attribution) rather than a software license like Apache 2.0 — but I could not pull TMD's exact terms text to confirm the precise clauses, so verify against their published terms before relying on this for anything commercial.

One more caveat worth knowing: the ingestion code calls the API with the literal demo credentials (uid=demo, ukey=demokey) that ship in TMD's own docs, not a registered production key. It has worked so far, but there's no confirmation these credentials are meant for sustained/redistributed use — treat the ongoing availability of this data source as unverified.

Update cadence

The upstream pipeline polls roughly hourly; this snapshot reflects a manual export and is not kept in continuous sync.