Sensor Burn-in — 50057
Clean-water deployments. Tracks how the mon2_val ~ temperature relationship evolves as each sensor settles.
Sensor
Summary Statistics
Time in field
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Total readings
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Latest slope
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mon2 / °C
Latest intercept
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mon2 at 0 °C
Latest R²
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mon2 ~ temp fit
Temp range
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°C (last hour)
Latest report
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Time Series — TLF Signal, ToF, Temperature, Humidity
mon2_val (TLF fluorescence, left axis) • signal_per_spad_kcps (ToF turbidity, right axis) • temperature (°C, right axis) • humidity (%RH, right axis). All raw readings.
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Rolling Regression: mon2 ~ temperature
Each point is one clock hour. Slope, intercept, and R² of OLS mon2 ~ temp. Burn-in appears as these coefficients drifting toward stable values.
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Residual Drift
Baseline mon2 ~ temp fitted on first 7 days. Residual = observed − predicted. Burn-in appears as a decaying offset. Hourly median + IQR band.
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mon2 vs Temperature — Coloured by Age
Each point is one reading. Colour encodes hours since first deployment (blue = fresh, yellow = older).
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