This dataset contains historical readings for soil sensors within parks across the City of Melbourne, for calendar year 2022 (current year data data is here). The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the data. This dataset can be joined to the soil sensor locations dataset using the site id column. This dataset contains a large number of records, to download only a particular sensor's readings see our attached guide on how to filter data. Different readings taken (based on unit column):- %VWC: Volumetric water content is a numerical measure of soil moisture. It is simply the ratio of water volume to soil volume.- ºC: Temperature in degrees celsius.- µS/cm: Salinity is the measure of the concentration of dissolved (soluble) salts in water from all sources. (microseimens per centimetre)Note this dataset may not contain a reading for every sensor for every hour as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site.

This dataset contains historical readings for soil sensors within parks across the City of Melbourne. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the data. This dataset can be joined to the soil sensor locations dataset using the site id column. This dataset contains a large number of records, to download only a particular sensor's readings see our attached guide on how to filter data. 📎 Note: An attachment file is available for download that contains the complete historical data for 2023. Different readings taken (based on unit column):- %VWC: Volumetric water content is a numerical measure of soil moisture. It is simply the ratio of water volume to soil volume.- ºC: Temperature in degrees celsius.- µS/cm: Salinity is the measure of the concentration of dissolved (soluble) salts in water from all sources. (microseimens per centimetre)Note this dataset may not contain a reading for every sensor for every hour as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site.

This dataset contains the locations of where soil sensors have been deployed across the city. The readings are stored in the soil sensor readings dataset. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the readings dataset. The dataset joins to the soil sensor readings dataset by matching the site_id column.

This dataset contains in-situ soil moisture profile and soil temperature data collected at 30-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites since 2021 in the United States and New Zealand. The SoilSCAPE network has used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data over varying durations since 2011. Since 2021, the SoilSCAPE has upgraded the two previously active sites in Arizona and added several new sites in the United States and New Zealand. These new sites typically use the METER Teros-12 soil moisture sensor. At its maximum, the new network consisted of 57 wireless sensor installations (nodes), with a range of 6 to 8 nodes per site. Each SoilSCAPE site contains multiple wireless end-devices (EDs). Each ED supports up to five soil moisture probes typically installed at 5, 10, 20, and 30 cm below the surface. Sites in Arizona have soil moisture probes installed at up to 75 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional and national (e.g. NASA's Cyclone Global Navigation Satellite System - CYGNSS and Soil Moisture Active Passive - SMAP) scales. The data are provided in NetCDF format.

This dataset contains in-situ soil moisture profile and soil temperature data collected at 30-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites since 2021 in the United States and New Zealand. The SoilSCAPE network has used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data over varying durations since 2011. Since 2021, the SoilSCAPE has upgraded the two previously active sites in Arizona and added several new sites in the United States and New Zealand. These new sites typically use the METER Teros-12 soil moisture sensor. At its maximum, the new network consisted of 57 wireless sensor installations (nodes), with a range of 6 to 8 nodes per site. Each SoilSCAPE site contains multiple wireless end-devices (EDs). Each ED supports up to five soil moisture probes typically installed at 5, 10, 20, and 30 cm below the surface. Sites in Arizona have soil moisture probes installed at up to 75 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional and national (e.g. NASA's Cyclone Global Navigation Satellite System - CYGNSS and Soil Moisture Active Passive - SMAP) scales. The data are provided in NetCDF format.

This data set contains in-situ soil moisture profile and soil temperature data collected at 20-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites in four states (California, Arizona, Oklahoma, and Michigan) in the United States. SoilSCAPE used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data at up to 12 sites over varying durations since August 2011. At its maximum, the network consisted of over 200 wireless sensor installations (nodes), with a range of 6 to 27 nodes per site. The soil moisture sensors (EC-5 and 5-TM from Decagon Devices) were installed at three to four depths, nominally at 5, 20, and 50 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. Temperature sensors were installed at 5 cm depth at six of the sites. Data collection started in August 2011 and continues at eight sites through the present. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional (airborne, e.g. NASA's Airborne Microwave Observation of Subcanopy and Subsurface Mission - AirMOSS) and national (spaceborne, e.g. NASA's Soil Moisture Active Passive - SMAP) scales.

,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.,CAF_sensors: folder with Daily and Hourly subfolders, each containing 42 '.txt' files of water content and temperature sensor readings. 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. 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:,Volumetric water content readings are calibrated according to: Gasch, CK, DJ Brown, ES Brooks, M Yourek, M Poggio, DR Cobos, CS Campbell. 2017. A pragmatic, automated approach for retroactive calibration of soil moisture sensors using a two-step, soil specific correction. Computers and Electronics in Agriculture, 137: 29-40. Temperature readings are factory calibrated.,CAF_BulkDensity.txt: file containing bulk density values ('BulkDensity' in g/cm^3) for sensor depths at each of the 42 instrumented locations at Cook Farm. Location is indicated in 'Location' field, and sample depths are defined (in cm) by the ’Depth’ field.,CAF_CropID.txt: 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. This is also part of the attribute table for 'CAF_strips.shp',CAF_CropCodes.txt: file containing crop code names and crop identities, used in 'CAF_CropID.txt' and 'CAF_strips.shp',CAF_ParticleSize.txt: file containing particle size fractions ('Sand', 'Silt', and 'Clay' as percent) for each 'Location' at sensor depths ('Depth', in cm).,All spatial data have spatial reference NAD83, UTM11N,CAF_sensors.shp: file containing locations of each of the 42 monitoring locations, the 'Location' field contains the location name, which coincides with locations in tabular files.,CAF_strips.shp: file containing areal extents of each sub-field, stip, and crop identities for 2007-2016. Crop identity codes are listed in 'CAF_CropCodes.txt',CAF_DEM.tif: file containing a 10 x 10 m elevation (in m) grid for Cook Farm.,CAF_Spring_ECa.tif, CAF_Fall_ECa.tif: files containing 10 x 10 m apparent electrical conductivity (dS/m) grids to 1.5 m depth for spring and fall at Cook Farm.,CAF_Bt_30cm.tif, CAF_Bt_60cm.tif, CAF_Bt_90cm.tif, CAF_Bt_120cm.tif, CAF_Bt_150cm.tif: files containing 10 x 10 m predictive surfaces for probability (0-1) of Bt horizon at the five sensor depths.,The Flags folder consists of the files containing the quality control flags for the Cook Farm Sensor Dataset.,The nomenclature for the files indicates flags for either temperature (T) or water content (VW) and sensor depths. For example:,Files starting with “missing” contain flags (“M”) for locations and dates (mm/dd/yyyy) with missing data (NA in original dataset).,Files starting with “range” contain flags for locations and dates (mm/dd/yyyy) with values outside acceptable ranges:,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.,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.,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.,Code (implemented in R) for the screening and flagging is included in “Code Snippet.txt”,A list of the sensor versions as of 06/16/16 at each location and depth.,

This dataset contains the locations of where soil sensors have been deployed across the city. The readings are stored in the soil sensor readings dataset. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the readings dataset. The dataset joins to the soil sensor readings dataset by matching the site_id column.

This dataset contains the locations of where soil sensors have been deployed across the city. The readings are stored in the soil sensor readings dataset. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the readings dataset. The dataset joins to the soil sensor readings dataset by matching the site_id column.