Terrascan: Explore public deep earth scan datasets

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TERRASCAN — Looking Inward

0km deep<br>Surface · crust

1 / 7stop tour ✕

TERRASCAN<br>a cross-section of the living Earth

▶ Tour<br>ⓘ Guide<br>▦ Glossary<br>✦ Data<br>★ Presets

★ Open source on GitHub ↗

Your depth

0km

Surface · the crust

▶ dive to core

Layers & display

Data bodies<br>Depth slice<br>Extracted features<br>Theory gaps<br>Model<br>Surface<br>Coastlines<br>Countries<br>Labels<br>Footprints<br>Experiments<br>Spin<br>Drill-zoom exp<br>Cutaway (drop above)<br>Relief peel exp

focus · surface ⟷ interior

raw dials<br>surface

relief opacity

relief brightness

coastlines

scan slice

slice strength

anomaly gain

coverage floor

model · subsurface

model intensity

model haze

data bodies (the measured mesh)

data opacity

extracted features

feature opacity

glow

size

survey link

focus depth-of-field

Radial values: real PREM. Lateral features: a faithful synthesis of published tomography. full explainer →

The scan — what you're seeing

speed anomaly<br>feature type

14 real tomography models, combined live.

Colour = how fast seismic waves travel = the rock's temperature & stiffness . Motion (sinking / rising) is inferred from that — it is not a direct movement reading.

slow / hotaveragefast / cold

Blue = fast → cold, stiff rock, usually sinking (slabs)

Red = slow → hot, soft rock, usually rising (plumes, piles)

Neutral = ordinary average mantle — measured, nothing unusual (not “static”)

Hatched / faint = no readings — theory's guess only, not measured

subducted slab (cold)

LLSVP — giant hot pile

ULVZ — melt at the core

mantle plume (hot)

cratonic root (cold)

ridge / rift (hot)

Same data, coloured by what the feature is rather than its speed.

At this depth

The scan picks out

Conditions

temperature

—pressure

—density

—shear speed<br>baseline

how well we've scanned here—

solid scan coverage

What we know here

Data pipeline

Model inputs

all S<br>all P

normalize models<br>clustering

threshold0.50

smooth0.30

agreement min0.40

visualization

Surfaces<br>Volume<br>Points<br>Wire

A THIRD MAP OF THE EARTH<br>You're looking inside the planet.

Ordinary globes show the outside — coastlines, borders, terrain. This one looks inward. As you slide the depth control down, you cut a horizontal slice through the Earth and see two things stacked on top of each other:

① THE SCAN — sharp

What earthquakes reveal: how fast seismic waves travel at this depth — i.e. how hot/cold & stiff the rock is. (Colour shows temperature, not motion; we infer sinking/rising from it.)

Red = slower → hotter, softer, rising

Blue = faster → colder, stiffer, sinking

Faint = we've barely scanned here

② THE MODEL — blurry

Behind the scan glows the textbook Earth: the smooth, layered reference model (PREM). It's deliberately out of focus — a prediction, not an observation.

Where the scan has no coverage (especially the deep core), the blurry model brightens and takes over . That hand-off is the whole idea.

③ THE 3-D BODIES — how they're derived

Data bodies come straight from the measurements: the 14 tomography models are averaged on a (lon, lat, depth) grid, lightly smoothed, kept only where the models agree, then meshed into 3-D form (surfaces / volume / points / wire) at a chosen anomaly threshold — blue = fast/cold, red = slow/hot. Tune all of this in the Data-pipeline panel.

Extracted features are an interpretation, not derived from those models: hand-curated named structures (slabs, LLSVPs, plumes, cratons, ridges) placed at their published locations from the literature. So a plume won't sit exactly on the data's red blob — they're two different things. The survey-link dial fades each feature toward how strongly the measured ensemble actually supports it there.

▶ Take the 60-second tour<br>Explore on my own

Drag to orbit · scroll to zoom · click a boundary to jump there · hover a body for info, click to isolate it. Coastlines: Natural Earth. Reference model: PREM (Dziewonski & Anderson 1981). Built with three.js.

HOW WE KNOW<br>Everything public that maps the Earth's inside

We have never drilled past ~12 km. Everything deeper is inferred — mostly from earthquakes, plus gravity, magnetism, tiny particles, and lab physics. These are the public datasets & models behind that inference.

gathering sources…

FIELD GUIDE<br>What are these features?

A quick taxonomy of what lives inside the Earth. Blue = fast = cold/stiff ; red = slow = hot/soft . "Motion" is inferred from temperature, not measured.

CONFIGURATIONS<br>Presets

Save the whole current view — depth, every layer, all dials, the data pipeline & enabled models — under a name. Click one to restore it; ★ sets the default that loads automatically. Or copy a share link to send a view to someone.

no presets yet — save the current view below

Save preset

⧉ Copy share link

← back to the globe

depth—

signal—

DATA SOURCES—

isolated here, still in the Earth's frame — its surface footprint is lit · drag to orbit · Esc or “back” to return

CALIBRATING TOMOGRAPHY

This visualisation needs JavaScript & WebGL.

data earth depth model scan models

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