GRIDINT RESEARCH · DATA HUB

World events.

The rolling flagship's records: every M4.5+ earthquake of the trailing 30 days, refreshed from the warehouse — the one continuous surface on this platform, by ruling.

published 2026-08-27 · data cutoff rolling — trailing 30 days · edition 1 — updated only by a new dated edition

THE REPORTThirty Days of Earth

Read it →

One planet, one month, one picture.

**The living map — 30 days of shocks and storms at true coordinates**An equirectangular world map (Natural Earth coastlines). Red circles are earthquakes — size is magnitude, and the deep ones (>70 km) render hollow with a red rim per the hollow-mark law. Colored marks are NASA-tracked events: amber wildfires, cyan floods, violet severe storms, gray ice. A quake carrying a tsunami flag would wear a cyan ring — and the honest finding of this window is that not one of them does, the largest included; the layer reports its zero rather than hiding. The clock beneath plays the month; category chips isolate a layer. Tap or hover anything for its record.sources USGS FDSN (M4.5+) · NASA EONET v3 · Natural Earth 110m — method true coordinates, no clustering; wildfire counts reflect EONET's per-fire tracking granularity — retrieved 2026-08-27 · edition-datedRead the report →

Plot it on any two axes.

The shape of the records.

Records by depth class

SOURCE · USGS FDSN (M4.5+, trailing 30 days) — the rolling flagship's own records · data cutoff rolling — trailing 30 days · counted from the records

How this hub was made.

USGS FDSN records, trailing 30 days, refreshed six-hourly. The tsunami flag is USGS's own per-event field — reporting zero flagged events is a finding, not a gap. Below M4.5 global catalog completeness is uneven; this hub's analytical floor is M4.5. Downloads are verification extracts, pointing back at the source that owns the records.

The world events exhibit page → · The institute's method →

Every edition, dated.

Edition 1 published 2026-08-27 · data cutoff rolling — trailing 30 days · first edition

A hub changes only as a new dated edition, on the institute's word — never on a schedule. Collection continues underneath; publication is deliberate.

Verify this hub.

Verification extracts — the working records with their receipts, attribution first, pointing at the origin. We never provide data; the source is the authority, this hub is the lens.

Cite this hub

GRIDINT Research (2026). World events data hub, edition 1 (data cutoff rolling — trailing 30 days). https://gridint.ai/data/world-events

@misc{gridint_world_events_2026,
  title = {World events data hub, edition 1},
  author = {{GRIDINT Research}},
  year = {2026},
  note = {Data cutoff rolling — trailing 30 days; source: USGS FDSN (M4.5+, trailing 30 days) — the rolling flagship's own records},
  url = {https://gridint.ai/data/world-events}
}

In pandas

import pandas as pd
D = pd.read_json("https://gridint.ai/demo/world-events/explorer-records.json")
records = pd.DataFrame(D["rows"].tolist(), columns=["mag", "depth_km", "lat", "lon", "depth_class", "tsunami_flag", "place", "time_utc_epoch_ms"])

The first row of that extract, as it stands: [4.5, 159, -22.66, -67.57, "Intermediate (70-300km)", "Not flagged", "70 km ENE of San Pedro de Atacama, Chile", 1788045977542] — the values are the receipt, whatever a column is called.

Every hub →

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