EarthScope GNSS Data

Seismic Station Network Analysis with NDP-EP

🌍📡

1,100+ GNSS Stations Across the US

Real-time Ground Motion Monitoring

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Case Study

EarthScope GNSS Station Analysis

Scientific Goal

Analyze the EarthScope GNSS station network to understand coverage and characteristics by US region:

Station distribution by region
Network affiliations (NOTA, IGS, etc.)
Elevation statistics
Active vs inactive stations

📡

EarthScope Consortium

High-rate GNSS (1Hz)

Position Time Series

1,100+

Stations

1 Hz

Sample Rate

Real-time

Streaming

3D

X, Y, Z Position

The Problem

Raw data requires cleaning and processing

📄

Raw CSV

150 KB

→

🔧

Fix Headers

Malformed

→

🧹

Clean Data

Parse 1100 rows

→

📊

Aggregate

By region

Every researcher repeats the same data cleaning

Raw CSV has malformed headers, requires custom parsing

// Raw CSV header (malformed):
Site,Latitude,(deg),Longitude,(deg),EllipElev,(m),X,(m),Y,(m),Z,(m)...
// Units mixed with column names!

The Solution: NDP-EP

Process once, share clean data with everyone

👤 First User (One Time)

📄

Raw CSV

150 KB

→

🧹

Clean & Parse

→

📊

Aggregate

→

📤
Upload JSON
7.5 KB

👥 All Other Users (Forever)

🔍
Search
0.06s

→

⬇️
Download
7.5 KB

→

📊
Analyze
Ready!

Real Results

EarthScope GNSS Station Data Processing

❌ Without NDP-EP

Download Size 149.5 KB

Total Time ~2 seconds

Data Cleaning Required

Processing Required

✓ With NDP-EP

Download Size 7.5 KB

Total Time ~0.14 seconds

Data Cleaning Already done

Processing Already done

93%

Faster

95%

Less Data

Processed Data Structure

Clean, aggregated, ready to use

Regions

🔴

California

🔵

Pacific NW

🟠

Southwest

Per Region Data

// JSON structure:
{
"station_count": 450,
"active_count": 445,
"networks": ["NOTA", "IGS"...],
"avg_elevation_m": 892.5,
"center_lat": 36.2,
"center_lon": -119.8,
"sample_stations": [...]
}

No parsing required - JSON is ready for visualization

Key Benefits

🧹

No Data Cleaning

Raw CSV has malformed headers. With NDP-EP, data is already cleaned and properly structured.

📊

Pre-Aggregated

Statistics by region already calculated. No need to process 1,100+ station records.

⚡

95% Smaller

7.5 KB JSON vs 150 KB raw CSV. Only download what you need.

🔍

Discoverable

Search the catalog. Find processed data without knowing the original source.

Live Comparison

Download & Processing Time

Without NDP-EP (Download + Clean + Process) 149.5 KB / ~2 sec

With NDP-EP (Download Ready JSON) 7.5 KB / 0.14 sec

Get Started

# Search for EarthScope data
results = client.search_datasets(terms=["earthscope", "stations"])

# Download processed JSON
data = client.download_object("seismic-data", "earthscope/stations_by_region.json")

# Ready to analyze!
regions = json.loads(data)["regions"]
for region, stats in regions.items():
    print(f"{region}: {stats['station_count']} stations")