wangdx25/soil_moisture_dataset

Soil Moisture Dataset (TsFile)

Apache TsFile version of it4lia/soil_moisture_dataset.

Overview

A dataset of soil moisture measurements collected from on-field tensiometers and volumetric sensors, correlated with irrigation records, weather observations, satellite-derived vegetation indices, and static soil and crop characterisation. Covers an anonymised agricultural area in Trentino, Italy, across three regional consortiums.

• Tables: 2 TsFile table(s), 186,558 rows in total.
  • soil_moisture_dataset_g1: 142,426 rows, 2023-01-01 00:00:00 鈫?2025-09-29 00:00:00.141000 (UTC)
  • soil_moisture_dataset_g4: 44,132 rows, 2023-01-01 00:00:00 鈫?2025-09-29 00:00:00.043000 (UTC)

Schema (TsFile structure)

soil_moisture_dataset_g1.tsfile

• Time (INT64, milliseconds) 鈥?the source result_time column.
• TAG: none 鈥?the table is stored as a single device.
• FIELD (85): datastream_name (string), forecasted_relative_humidity_2m_next_1period (float), forecasted_relative_humidity_2m_next_2period (float), forecasted_relative_humidity_2m_next_3period (float), forecasted_relative_humidity_2m_next_4period (float), forecasted_relative_humidity_2m_next_5period (float), forecasted_relative_humidity_2m_next_6period (float), forecasted_relative_humidity_2m_next_7period (float), forecasted_temperature_2m_min_next_1period (float), forecasted_temperature_2m_min_next_2period (float), forecasted_temperature_2m_min_next_3period (float), forecasted_temperature_2m_min_next_4period (float), forecasted_temperature_2m_min_next_5period (float), forecasted_temperature_2m_min_next_6period (float), forecasted_temperature_2m_min_next_7period (float), forecasted_soil_temperature_0_to_7cm_max_next_1period (float), forecasted_soil_temperature_0_to_7cm_max_next_2period (float), forecasted_soil_temperature_0_to_7cm_max_next_3period (float), forecasted_soil_temperature_0_to_7cm_max_next_4period (float), forecasted_soil_temperature_0_to_7cm_max_next_5period (float), forecasted_soil_temperature_0_to_7cm_max_next_6period (float), forecasted_soil_temperature_0_to_7cm_max_next_7period (float), forecasted_soil_temperature_0_to_7cm_min_next_1period (float), forecasted_soil_temperature_0_to_7cm_min_next_2period (float), forecasted_soil_temperature_0_to_7cm_min_next_3period (float), forecasted_soil_temperature_0_to_7cm_min_next_4period (float), forecasted_soil_temperature_0_to_7cm_min_next_5period (float), forecasted_soil_temperature_0_to_7cm_min_next_6period (float), forecasted_soil_temperature_0_to_7cm_min_next_7period (float), forecasted_soil_moisture_0_to_7cm_next_1period (float), forecasted_soil_moisture_0_to_7cm_next_2period (float), forecasted_soil_moisture_0_to_7cm_next_3period (float), forecasted_soil_moisture_0_to_7cm_next_4period (float), forecasted_soil_moisture_0_to_7cm_next_5period (float), forecasted_soil_moisture_0_to_7cm_next_6period (float), forecasted_soil_moisture_0_to_7cm_next_7period (float), forecasted_temperature_2m_mean_next_1period (float), forecasted_temperature_2m_mean_next_2period (float), forecasted_temperature_2m_mean_next_3period (float), forecasted_temperature_2m_mean_next_4period (float), forecasted_temperature_2m_mean_next_5period (float), forecasted_temperature_2m_mean_next_6period (float), forecasted_temperature_2m_mean_next_7period (float), forecasted_et0_fao_evapotranspiration_next_1period (float), forecasted_et0_fao_evapotranspiration_next_2period (float), forecasted_et0_fao_evapotranspiration_next_3period (float), forecasted_et0_fao_evapotranspiration_next_4period (float), forecasted_et0_fao_evapotranspiration_next_5period (float), forecasted_et0_fao_evapotranspiration_next_6period (float), forecasted_et0_fao_evapotranspiration_next_7period (float), forecasted_soil_temperature_0_to_7cm_mean_next_1period (float), forecasted_soil_temperature_0_to_7cm_mean_next_2period (float), forecasted_soil_temperature_0_to_7cm_mean_next_3period (float), forecasted_soil_temperature_0_to_7cm_mean_next_4period (float), forecasted_soil_temperature_0_to_7cm_mean_next_5period (float), forecasted_soil_temperature_0_to_7cm_mean_next_6period (float), forecasted_soil_temperature_0_to_7cm_mean_next_7period (float), forecasted_direct_radiation_next_1period (float), forecasted_direct_radiation_next_2period (float), forecasted_direct_radiation_next_3period (float), forecasted_direct_radiation_next_4period (float), forecasted_direct_radiation_next_5period (float), forecasted_direct_radiation_next_6period (float), forecasted_direct_radiation_next_7period (float), forecasted_temperature_2m_max_next_1period (float), forecasted_temperature_2m_max_next_2period (float), forecasted_temperature_2m_max_next_3period (float), forecasted_temperature_2m_max_next_4period (float), forecasted_temperature_2m_max_next_5period (float), forecasted_temperature_2m_max_next_6period (float), forecasted_temperature_2m_max_next_7period (float), forecasted_precipitation_next_1period (float), forecasted_precipitation_next_2period (float), forecasted_precipitation_next_3period (float), forecasted_precipitation_next_4period (float), forecasted_precipitation_next_5period (float), forecasted_precipitation_next_6period (float), forecasted_precipitation_next_7period (float), forecasted_wind_speed_10m_next_1period (float), forecasted_wind_speed_10m_next_2period (float), forecasted_wind_speed_10m_next_3period (float), forecasted_wind_speed_10m_next_4period (float), forecasted_wind_speed_10m_next_5period (float), forecasted_wind_speed_10m_next_6period (float), forecasted_wind_speed_10m_next_7period (float)

soil_moisture_dataset_g4.tsfile

• Time (INT64, milliseconds) 鈥?the source result_time column.
• TAG: none 鈥?the table is stored as a single device.
• FIELD (26): datastream_name (string), datastream_id (int64), ndvi (double), grvi (double), rvi (double), rgi (double), aci (double), maci (double), gndvi (double), ngrdi (double), ngbdi (double), bgvi (double), brvi (double), wi (double), varig (double), gli (double), g_perc (double), ndmi (double), ndwi (double), reci (double), ndre_lower_end (double), ndre_upper_end (double), msavi (double), arvi (double), sipi (double), gci (double)

Conversion notes

• One TsFile per source table (2 tables). Tables whose source carries several entities per file are stored as one device per entity.
• Time = the table's own clock column as INT64 milliseconds. The clock columns used here are result_time.
• No column is dropped. Rows that share a timestamp inside one device are ordered by a 1 ms step in stable source order, so calendar columns keep their exact day.

Usage

Read this dataset with the Java SDK. It is written with the zstd compressor. The Apache TsFile Java SDK reads every compressor, but the Python SDK (pip install tsfile) implements only UNCOMPRESSED, SNAPPY, GZIP and LZ4; opening this file with it yields no rows.

Read a converted file with the Apache TsFile Java SDK (org.apache.tsfile:tsfile):

import org.apache.tsfile.file.metadata.IDeviceID;
import org.apache.tsfile.read.TsFileReader;
import org.apache.tsfile.read.TsFileSequenceReader;
import org.apache.tsfile.read.common.Path;
import org.apache.tsfile.read.expression.QueryExpression;
import org.apache.tsfile.read.query.dataset.QueryDataSet;
import org.apache.tsfile.write.schema.MeasurementSchema;

import java.util.ArrayList;
import java.util.List;

String path = "soil_moisture_dataset_g1.tsfile";
try (TsFileSequenceReader sequenceReader = new TsFileSequenceReader(path);
     TsFileReader reader = new TsFileReader(sequenceReader)) {
    // Devices are enumerated as IDeviceID objects. Tables with TAG columns
    // have multi-segment device ids that cannot be rebuilt from their string
    // form, so always use getAllDevices() rather than getAllDeviceIds().
    for (IDeviceID device : sequenceReader.getAllDevices()) {
        List<Path> paths = new ArrayList<>();
        for (MeasurementSchema schema : reader.getMeasurement(device)) {
            String name = schema.getMeasurementName();
            if (name != null && !name.isEmpty() && !name.equalsIgnoreCase("Time")) {
                paths.add(new Path(device, name, true));
            }
        }
        QueryDataSet dataSet = reader.query(QueryExpression.create(paths, null));
        while (dataSet.hasNext()) {
            System.out.println(dataSet.next());
        }
    }
}

Source & license

• Original dataset: it4lia/soil_moisture_dataset
• Source card title: Soil Moisture Dataset
• License: cc-by-nc-nd-4.0 (as declared by the original dataset).