Data from: A field-scale sensor network data set for monitoring and modeling the spatial and temporal variation of soil moisture in a dryland agricultural field
Data e Risorse
-
Zip FileZIP
CAF_Sensor_Dataset_2.zip
| Campo | Valore |
|---|---|
| Gruppi |
|
| Tag |
|
| isopen | True |
| license_id | cc-zero |
| license_title | Creative Commons CCZero |
| license_url | http://www.opendefinition.org/licenses/cc-zero |
| maintainer | Brown, David |
| maintainer_email | david_brown@wsu.edu |
| metadata_created | 2025-12-01T20:30:26.749271 |
| metadata_modified | 2025-12-01T20:30:26.749275 |
| notes | <p>Automated in situ soil sensor network - the data set includes hourly and daily measurements of volumetric water content, soil temperature, and bulk electrical conductivity, collected at 42 monitoring locations and 5 depths (30, 60, 90, 120, and 150 cm) across Cook Agronomy Farm. Data collection was initiated in April 2007 and is ongoing.</p> <p>Description of data</p> <h3>Tabular data</h3> <p><strong>CAF_sensors</strong>: folder with Daily and Hourly subfolders, each containing 42 '.txt' files of water content and temperature sensor readings.<br /> Each file represents readings from a single location, indicated in the file name (i.e. CAF003.txt) and in the 'Location' field of the table.<br /> Readings are organized by 'Date' (4/20/2007 - 6/16/2016), ‘Time’ (24 hr clock, only in hourly files), and with property (VW or T) and sensor 'Depth' as follows:</p> <ul> <li>VW_30cm: volumetric water readings at 30 cm depth (m^3/m^3)</li> <li>VW_60cm: volumetric water readings at 60 cm depth (m^3/m^3)</li> <li>VW_90cm: volumetric water readings at 90 cm depth (m^3/m^3)</li> <li>VW_120cm: volumetric water readings at 120 cm depth (m^3/m^3)</li> <li>VW_150cm: volumetric water readings at 150 cm depth (m^3/m^3)</li> <li>T_30cm: temperature readings at 30 cm depth (C)</li> <li>T_60cm: temperature readings at 60 cm depth (C)</li> <li>T_90cm: temperature readings at 90 cm depth (C)</li> <li>T_120cm: temperature readings at 120 cm depth (C)</li> <li>T_150cm: temperature readings at 150 cm depth (C)</li> </ul> <p>Volumetric water content readings are calibrated according to:<br /> <em>Gasch, CK, DJ Brown, ES Brooks, M Yourek, M Poggio, DR Cobos, CS Campbell. 2017. A pragmatic, automated approach for retroactive calibration<br /> of soil moisture sensors using a two-step, soil specific correction. Computers and Electronics in Agriculture, 137: 29-40.<br /> Temperature readings are factory calibrated.</em></p> <p><strong>CAF_BulkDensity.txt</strong>: file containing bulk density values ('BulkDensity' in g/cm^3) for sensor depths at each of the 42 instrumented<br /> locations at Cook Farm. Location is indicated in 'Location' field, and sample depths are defined (in cm) by the ’Depth’ field.</p> <p><strong>CAF_CropID.txt</strong>: file containing crop codes for each sub-field (A, B and C) and strip (1-6 for A and B, 1-8 for C) at Cook Farm for 2007-2016.<br /> This is also part of the attribute table for 'CAF_strips.shp'</p> <p><strong>CAF_CropCodes.txt</strong>: file containing crop code names and crop identities, used in 'CAF_CropID.txt' and 'CAF_strips.shp'</p> <p><strong>CAF_ParticleSize.txt</strong>: file containing particle size fractions ('Sand', 'Silt', and 'Clay' as percent) for each 'Location' at sensor depths<br /> ('Depth', in cm).</p> <h3>Spatial data</h3> <p>All spatial data have spatial reference NAD83, UTM11N</p> <p><strong>CAF_sensors.shp</strong>: file containing locations of each of the 42 monitoring locations, the 'Location' field contains the location name,<br /> which coincides with locations in tabular files.</p> <p><strong>CAF_strips.shp</strong>: file containing areal extents of each sub-field, stip, and crop identities for 2007-2016. Crop identity codes are listed<br /> in 'CAF_CropCodes.txt'</p> <p><strong>CAF_DEM.tif</strong>: file containing a 10 x 10 m elevation (in m) grid for Cook Farm.</p> <p><strong>CAF_Spring_ECa.tif</strong>, <strong>CAF_Fall_ECa.tif</strong>: files containing 10 x 10 m apparent electrical conductivity (dS/m) grids to 1.5 m depth for spring<br /> and fall at Cook Farm.</p> <p><strong>CAF_Bt_30cm.tif</strong>, <strong>CAF_Bt_60cm.tif</strong>, <strong>CAF_Bt_90cm.tif</strong>, <strong>CAF_Bt_120cm.tif</strong>, <strong>CAF_Bt_150cm.tif</strong>: files containing 10 x 10 m predictive surfaces for<br /> probability (0-1) of Bt horizon at the five sensor depths.</p> <h3>Quality Control</h3> <p>The Flags folder consists of the files containing the quality control flags for the Cook Farm Sensor Dataset.</p> <p>The nomenclature for the files indicates flags for either temperature (T) or water content (VW) and sensor depths. For example:</p> <ul> <li>T_30 is for the temperature data at 30cm. depth</li> <li>VW_120 is for the Volumetric water content at 120 cm. depth</li> </ul> <p>Files starting with “missing” contain flags (“M”) for locations and dates (mm/dd/yyyy) with missing data (NA in original dataset).</p> <p>Files starting with “range” contain flags for locations and dates (mm/dd/yyyy) with values outside acceptable ranges:</p> <ul> <li>Soil moisture (0-0.6 m^3/m^3) flagged as “C”</li> <li>Soil temperature (<0 deg. C) flagged as “D”</li> </ul> <p>Files starting with the name “flats” contain flags (“D”) for locations, dates (mm/dd/yyyy), and times (hh:mm) with constant values (within 1%) for a 24 hour period, as in Dorigo et al. 2013.</p> <p>Files starting with the name “spikes” contain flags (“D”) for locations, dates (mm/dd/yyy), and times (hh:mm) with sudden spikes in VWC readings.</p> <p>Files starting with the name “breaks” contain flags (“D”) for locations, dates (mm/dd/yyy), and times (hh:mm) with sudden breaks (jumps or drops) in VWC readings.</p> <p>Code (implemented in R) for the screening and flagging is included in “Code Snippet.txt”</p> <p>A list of the sensor versions as of 06/16/16 at each location and depth.</p> |
| num_resources | 1 |
| num_tags | 8 |
| title | Data from: A field-scale sensor network data set for monitoring and modeling the spatial and temporal variation of soil moisture in a dryland agricultural field |