Pahzuzu/PAH-ENV-001-serc-soil-signals

Pahzuzu SERC Paired Soil Moisture & Temperature (2016–2022)

More than 10 million paired, 30-minute soil observations from five plots at the Smithsonian Environmental Research Center (SERC), cleaned into two analysis-ready Parquet tables with preserved quality flags and machine-readable provenance.

This free research edition contains the complete moisture and temperature tables. It exists so researchers and engineers can inspect the actual data, limitations, schema and provenance before deciding whether the supported commercial bundle is useful to them.

Dataset at a glance

	Soil moisture	Soil temperature
Rows	4,721,280	5,311,440
Depths	8 (6–141 cm)	9 (6–191 cm)
Plots	5	5
Time range	2016-04-08 to 2022-12-31	2016-04-08 to 2022-12-31
Resolution	30 minutes, UTC	30 minutes, UTC
NEON QF=0	40.2%	96.7%
Rows containing the primary sensor value	68.0%	97.0%

The moisture gaps are real and important. They are documented rather than interpolated away. See the gap report and dataset card before modelling.

Viewer subsets

Use the Dataset Viewer subset selector to switch between:

• soil_moisture: water content, ion content, uncertainties and NEON flags.
• soil_temperature: temperature, uncertainty and NEON flags.

Both tables join on timestamp_utc, site_code, plot_id and depth_cm. Temperature includes one extra depth at 191 cm.

Five-minute quick start

from datasets import load_dataset

moisture = load_dataset(
    "Pahzuzu/PAH-ENV-001-serc-soil-signals",
    "soil_moisture",
    split="train",
)
temperature = load_dataset(
    "Pahzuzu/PAH-ENV-001-serc-soil-signals",
    "soil_temperature",
    split="train",
)

print(moisture.features)
print(temperature.features)

For a reproducible local workflow, open examples/quick_start.ipynb. It loads the Parquet tables, filters NEON quality flags, aligns matching plot/depth observations and creates a paired daily signal.

Files

• data/PAH-ENV-001_soil_moisture_30min.parquet
• data/PAH-ENV-001_soil_temperature_30min.parquet
• docs/DATASET_CARD.md
• docs/DATA_DICTIONARY.md
• docs/METHODOLOGY.md
• docs/ATTRIBUTION.md
• docs/PROVENANCE.jsonl
• docs/PAH-ENV-001_gap_report.json
• examples/quick_start.ipynb

Quality guidance

• Start strict: retain rows where the relevant NEON final quality flag equals 0.
• Inspect flagged, non-null moisture values separately; a flag is not the same thing as a missing measurement.
• Choose plots and years from the gap report rather than assuming uniform completeness.
• Do not treat this as a spatially representative survey of the entire SERC site; it is a five-plot sensor record.
• No measurement values were interpolated, gap-filled or synthetically generated by Pahzuzu.

Source, licence and provenance

The measurements derive from NEON products DP1.00094.001 and DP1.00041.001 at SERC. The source files were acquired in May 2026 under NEON's CC0-era terms, as recorded in docs/PROVENANCE.jsonl. NEON later moved newly released data to CC BY 4.0. Read docs/ATTRIBUTION.md for the full transition note and citation guidance.

• Cleaned data tables: CC0 1.0 Universal.
• Pahzuzu-authored research documentation: CC BY 4.0.

This is not legal advice; users with strict compliance requirements should independently confirm the source-data terms that apply to their use.

Supported commercial bundle

The underlying public measurements are not exclusive. The paid bundle is for teams that want a single downloadable package, CSV.gz compatibility files, a commercial support commitment and update notices.

View the supported Pahzuzu bundle

Questions about schema, provenance or custom variants: pahzuzu.data@proton.me