Temperature of the soil at various depth below the soil surface from 2 cm up to 200 cm at non-permafrost sites (up to 300 cm at Alaskan sites). Data are from all five Instrumented Soil Plots per site and presented as 1-minute and 30-minute averages.

This data set consists of daily air, water, and soil temperature, wind speed, vapor pressure, and the sum of global radiation and unfrozen precipitation data from the Toolik Lake area of Alaska between 1998 and 2002. The data includes readings from two sites: the Toolik Arctic Long Term Ecological Research (LTER) Tundra site and the nearby Toolik Tussock Experimental plots site that includes soil measurements from fertilized and unfertilized greenhouse and 'shadehouse' areas.

Data loggers recorded soil temperatures at various intervals down to 150 cm. Air temperatures were recorded between 1 and 5 meters. The data consist of 28 comma-delimited ASCII text files, and are available via ftp. Data files for each site contain slightly different meteorological parameters. This data set is a subset of the more comprehensive data set, Monitoring and Manipulation of Tundra Response to Climate Change, Arctic LTER, Toolik Lake, Alaska.

The research project was funded by the Arctic System Sciences (ARCSS) Program, grant number OPP-9810222.

This dataset contains the USDA/NRCS Soil Moisture/Soil Temperature Network data. These data are provided as is and were not quality controlled by UCAR/JOSS. Please see the README file for more complete information. These data are PROVISIONAL and are subject to revision by the USDA/NRCS.

These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the regimes used in the R and R categories; 2) assess how these changes will impact the geographic distribution of soil temperature and moisture regimes; and 3) explore the implications for using R and R categories for estimating future ecosystem resilience and resistance.

The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2023.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.

At many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.

Liquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.

This database contains mean daily temperatures for sites associated with the Alaska Thermokarst Monitoring network. The data are from projects that we have conducted, as well as data compiled from some other project and publicly available data. The temperature data focus mainly on surface and deep (mainly ~ 1 meter [m], usually below the active layer) soils. This database is continually updated and currently includes only a portion of the soil temperature monitoring sites. The Access Database has 4 main data tables (tbl_) that include the MaintLog (maintenance log), Quality Assurance/Quality Control (QAQC) Summary (listing of gapfilling methods and quality), Sites (site environmental characteristics) and Soil_Temperatures_Daily (mean daily temperatures). Environmental characteristics in the Site table can be used for analyzing environmental effects on soil temperatures. Tables were exported to csv format for archiving.

This dataset is constructed using measurements of temperature-sensors at various depths. The dataset is neither validated nor are missing values completed.

Purpose: The STM2 model predicts the soil temperature and moisture conditions based on very limited user inputs. The input requirements are: A general soil characterization (soil texture and organic matter content) Daily weather information limited to maximum and minimum air temperatures with daily precipitation. There is a help file that describes the program included in the file list below (STM2_description.doc). Disclaimer: The USDA-ARS makes no warranties as to the merchantability or fitness of STM2 for any particular purpose, or any other warranties expressed or implied. Since some portions of STM2 have been validated with only limited data sets, it should not be used to make operational management decisions. The USDA-ARS is not liable for any damages resulting from the use or misuse of STM2, its output and its accompanying documentation. STM2 was written in Java, and therefore can run on multiple platforms (e.g. Windows, Mac, Unix). Resources in this dataset:Resource Title: Soil Temperature and Moisture Model. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=209&modecode=50-60-05-00 download page

Description: Microclimate datalogger recordings of belowground temperature Project: This dataset was collected as part of the following SAFE research project: Microclimate stratification in modified forests XML metadata: GEMINI compliant metadata for this dataset is available here Data worksheets: There are 1 data worksheets in this dataset:

Forest soil temperature data (Worksheet Data) Dimensions: 411690 rows by 6 columns Description: Microclimate datalogger recordings of belowground temperature Fields:

Plot: Location of record (Field type: Location) time: Date and time of record (Field type: Datetime) Temp: Air temperature 1 m above ground (Field type: Numeric) LoggerType: Make of datalogger that was used (Lascar or iButton) (Field type: ID) LoggerID: Unique reference number for the datalogger (Field type: ID) Date range: 2011-04-20 to 2012-07-10 Latitudinal extent: 4.6353 to 4.7714 Longitudinal extent: 116.9477 to 117.7028

This data set contains the Coordinated Energy and Water Cycle Observation Project (CEOP) Enhanced Observing Periods 3 and 4 (EOP-3 and 4) CEOP Asia-Australia Monsoon Project (CAMP) Northeast Thailand Hourly Soil Data Set. This dataset contains all of the EOP-3 and EOP-4 time periods (i.e., 1 October 2002 through 31 December 2004). This data set contains both ASCII data and netCDF data. The ASCII data file covers the entire time period for all stations. The netCDF data file covers the entire time period with one netCDF file for each station.

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.

This data set contains the soil temperature and moisture data from the Argonne National Laboratory ABLE (Atmospheric Boundary Layer Experiments) Automated Weather Systems (AWS) that were located in Whitewater, Kansas and Smileyberg, Kansas. Data were collected during the Cooperative Atmospheric Surface Exchange Study 1999 (CASES-99).

This text presents the soil temperature data at 15-min frequency collected at Lysimeter 10 located at the National Green Infrastructure Facility between 03.05.2019 and 18.07.2019.

The West Fork of Dall Creek contains a burn scar surrounded by unburned black spruce forest. Soil temperature sensors were installed in the unburned black spruce forest adjacent to the burn scar on 5/10/2017 and removed on 6/26/2018. Data were collected from depths of 10, 30, 50, and 70 cm.

This data set contains soil temperature, soil moisture, and soil conductivity data in the vicinity of Palmer Station. TEROS12 sensors are installed in 40 plots that are distributed along an increasing primary productivity gradient (i.e., with increasing distance from the Marr Ice Piedmont glacier). The sensors are comprised of 5 cm long metal pins that are inserted straight down into the soil and hence, data are collected from the upper 0-5 cm of the soil. There are 4 sites along the gradient (site 1 is closest to the glacier and site 4 is farthest from the glacier), with ten plots at each site. Half of the plots at each site are plots that contain an open-top chamber and the other half of the plots are control (unwarmed) plots. Plot ids will contain "W" for warmed plots and "C" for control plots. Raw data from the loggers (logged every 20 minutes), as well as an R Markdown file is provided to facilitate reading in and displaying the daily average soil moisture and temperature data at the plot and at the treatment level for each productivity site. Loggers and sensors were installed in December 2022 and were downloaded in November (sites 2-4) and in December (site 1) of 2024.

The summary ground temperature database for northern Canada includes publicly available information from published and unpublished sources for 656 sites, 526 of which are in the permafrost region. The majority of the sites are currently abandoned, with only about 17% active. Measurements at the inactive sites were generally recorded between 1960 and the mid 1980s. Although ground temperatures were measured over a number of years at many sites, the database compilation contains mainly summary information. Information on site characteristics such as air temperature, snow cover and vegetation which influence the ground temperature regime has also been compiled. The database has been published as a Geological Survey of Canada Open File Report which also contains a series of maps and graphs illustrating site distribution, near-surface ground temperatures, and other attributes of the database.

This data set consists of soil temperature observations collected at the Rosemount, MN site operated by Dr. John Baker of the USDA/ARS. See the README file for more complete information.

These data were compiled as a supplement to a previously published journal article (Bradford et al., 2019), that employed a ecosystem water balance model to characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America. Also, these data are associated with a published USGS data release (Bradford and Schlaepfer, 2019). The objectives of our study were to (1) characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America, (2) evaluate the impact of these changes on estimation of resilience and resistance among a representative set of climate scenarios. These data represent geographic patterns in simulated soil temperature and soil moisture conditions and underlying variables based on SOILWAT2 simulations under climate conditions representing historical (current) time period (1980-2010) and two future projected time periods (2020-2050, d40yrs) and (2070-2100, d90yrs) for two representative concentration pathways (RCP4.5, RCP8.5) as medians across simulation runs based on output from each of the available downscaled global circulation models that participated in CMIP5 (RCP4.5, 37 GCMs; RCP8.5, 35 GCMs; Maurer et al. 2007). Additional information about the SOILWAT2 simulation experiments can be found in Bradford et al. 2019. These data were created in 2018, 2019, and 2021 for the area of the sagebrush region in the western North America. These data were created by a collaborative research project between the U.S. Geological Survey, Marshall University and Yale University. These data can be used with the high-resolution matching as defined by Renne et al. (in prep.), and within the scope of Bradford et al. 2019. These data may also be used to evaluate the potential impact of changing climate conditions on geographic patterns in simulated soil temperature and soil moisture conditions.

The BOREAS TF-01 team collected energy, carbon dioxide, and momentum flux data above the canopy along with meteorological and soils data at the BOREAS SSA-OA site from mid-April to the end of the year for 1996.

This dataset contains soil moisture, soil temperature, and air temperature collected from sensors installed across the Yukon River Basin as part of the USGS-YRITWC Active Layer Network. The data has been processed to show daily mean, minimum, and maximum soil moisture, soil temperature, and air temperature.