Ministry of Environment, Urbanisation and Climate ChangeInstitutional support
COP31 Türkiye · Antalya9–20 November 2026 · Host conference
Piri Reis UniversityCOP31 Türkiye academic and technical lead
uRADMonitor / Uploaded CSV archive
Explore the Piri Reis University station and environmental sensors in the uploaded files. Each value is a record supplied at the time of a CSV download.
Checking the CSV archive…
OUR UNIVERSITY STATION
21CAB7FF · Air and environmental sensors
Each card shows the numeric value in the latest CSV snapshot for that parameter. A blank latest value is not replaced with an older record. Download times may differ between parameters; values are not assumed to be simultaneous. Select a card to explore its map and records.
LOCATIONS IN THE FILES
Points represent devices with valid coordinates and numeric values in the file. Colour identifies the station, not a health risk or pollution threshold. Local world boundaries provide approximate geographic context. Enabling the street map requests tiles from OpenStreetMap.
Local boundaries: Natural Earth · Sensor source: uRADMonitor / user-uploaded CSV files
CSV DOWNLOAD SNAPSHOTS
The analysis link selects the location identity in the latest file. Records from different locations of mobile devices remain separate; hourly averages are not inferred from download snapshots.
The horizontal axis is the file download time, not sensor sampling time. Each point is one file record; points are not joined. Zero is preserved and missing values are not converted to zero. Use the left / right arrow keys to inspect points.
| CSV download time · UTC | Device last report · UTC | Value | Unit | Provider quality note / code |
|---|
MISSING VALUES REMAIN VISIBLE
These counts describe the uploaded files; they do not imply that the entire uRADMonitor network or its history was downloaded. Zero is counted separately from a missing record.
| Parameter | Unit stated in the file | Numeric records | Missing values | Zero values |
|---|
RESEARCH USE PROPOSALS · NOT AN ACTIVE MODEL
With sufficient verified sampling history, PM₂.₅ / PM₁₀ variation could be compared with temperature, humidity and wind over matching time windows. Daily averages or exposure calculations require checked units, calibration and missing-data coverage.
If a noise parameter is present, it could be compared descriptively with campus activity after verifying location and time coverage. A single snapshot is not a daily noise level; dB values must not be averaged using an ordinary arithmetic mean.
Campus data describe the terrestrial environment near the coast. Exploratory comparisons with time-matched marine and weather data may be useful; these records do not measure seawater chemistry, sea-to-air emission flux or causal effects.
Status and quality fields are provider / import labels; they are not converted to health classes. Unknown units are identified. This page only reads the imported CSV archive; it does not alter existing API access or storage permissions.
These are source / import labels present in the displayed records, not health-risk classes. Hover over a card to inspect its raw codes. Each record’s own codes are also preserved in the record table.
