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48 results for “moisture measurement”
Soil moisture and snowdepth measurements in the Black Sand experiment for East Knoll, Audubon, Lefty, Soddie and Trough, 2018 - 2024.
The purpose of the Black Sand experiment is to measure treatment effects on date of snowmelt on Niwot Ridge. Five sites with paired plots (treatment and control) were implemented across Niwot as part of the extended summer research program in order to understand the effects of earlier snowmelt. This dataset contains measurements of snowdepth throughout the melt season, manual measurements of volumetric water content and temperature data as an indication of snowmelt timing.
NRCS-USFS Soil Moisture Measurements - Fernow Experimental Forest, WV, 2022-2025
This dataset consists of soil moisture (volumetric water content and water potential), temperature, and electrical conductivity measurements at multiple depths within 20 soil pedons distributed across Watersheds 4, 5, 6, and 7 at the Fernow Experimental Forest from September 2022 to June 2025. This work is a part of a larger partnership between the U.S. Forest Service (USFS) and the Natural Resources Conservation Service (NRCS) to install, monitor and generate long-term soil moisture datasets across multiple forested watersheds in the U.S. Associated data packages from both the Coweeta Hydrologic Laboratory and Hubbard Brook Experimental Forest can be found on the EDI Data Portal. Dataset contributors: Fernow site selection and project planning conducted by Ben Rau (USFS), Ann Tan (NRCS), and James Leonard (NRCS). Megan Thomas (NRCS) and Joel Gebhard (NRCS) assisted with site installation. Site visits, data downloading, and logger maintenance was by Tyler Sharretts (USFS) and Chris Cassidy (USFS). The dataset was curated by Emily Piche (USFS, ORISE) and Amanda Pennino (NRCS). Overall partnership initiation and project management was by Stephanie Connolly (USFS) and Skye Wills (NRCS).
NRCS-USFS Soil Moisture Measurements - Hubbard Brook Experimental Forest, 2023-2025
This dataset consists of soil moisture (volumetric water content and water potential), temperature, and electrical conductivity measurements at multiple depths within 12 soil pedons distributed across Watersheds 3, 6, and 9 at Hubbard Brook Experimental Forest from July 2023 to June 2025. This work is a part of the Forest Soil Moisture Monitoring Network (FSMMN), which is an interagency partnership between the U.S. Forest Service and the Natural Resources Conservation Service (NRCS) to install, monitor and generate long-term soil moisture datasets across multiple forested watersheds in the U.S. Dataset contributors: Hubbard Brook site selection and project planning was conducted by Amanda Pennino (NRCS), Scott Bailey (Virginia Tech) and Mark Green (Case Western). Site visits, data downloading, and logger maintenance was by Lucy Zendzian (NRCS), Paul Gadecki (NRCS), and Jack Ferrara (NRCS). The dataset was curated by Emily Piche (USFS, ORISE) and Amanda Pennino (NRCS). Overall partnership initiation and project management was by Stephanie Connolly (USFS) and Skye Wills (NRCS).
NRCS-USFS Soil Moisture Measurements - Coweeta Hydrologic Laboratory, NC, 2022-2025
This dataset consists of soil moisture (volumetric water content and water potential), temperature, and electrical conductivity measurements at multiple depths within 12 soil pedons distributed across Watersheds 32 and 7 at the Coweeta Hydrologic Laboratory from March 2022 to April 2025. This work is a part of a larger partnership between the U.S. Forest Service (USFS) and the Natural Resources Conservation Service (NRCS) to install, monitor and generate long-term soil moisture datasets across multiple forested watersheds in the U.S. Associated data packages from both the Fernow and Hubbard Brook Experimental Forests can be found on the EDI Data Portal. Dataset contributors: Project planning led by Carlos Quintero (USFS, ORISE), with help from Amos Stead (NRCS) and Tiffany Allen (NRCS) in site selection. Scientific and logistical support from Chris Oishi (USFS), Amanda Pennino (NRCS), and Erin Rooney (NRCS). Seth Strickland (USFS), Amos Stead (NRCS), Ann Tan (NRCS), and Tiffany Allen (NRCS) assisted with site installation. Site visits, data downloading, and logger maintenance was by Seth Strickland (USFS). The dataset was curated by Emily Piché (USFS, ORISE) and Amanda Pennino (NRCS). Overall partnership initiation and project management was by Stephanie Connolly (USFS) and Skye Wills (NRCS)
Summary of soil temperature, moisture, and thaw depth for 14 chamber flux measurements sampled near Arctic LTER shrub sites at Toolik Field Station, Alaska, summer 2012.
Soil temperature at 5cm and 10cm depth, volumetric water content (VWC) and depth of thaw for 14 shrub canopy flux plots measured in vicinity of the Arctic LTER shrub site, Toolik Field Station, AK in 2012.
Alaska Peatland Experiment: Biweekly flux data and environmental measurements (soil temperature, soil moisture, seasonal thaw depth, water table depth)
This dataset contains ecosystem respiration data measured biweekly at the Alaska Peatland Experiment (APEX) gradient plots. Five plots encompass the gradient all changing in dominant vegetation type. Plot labels are as follows: BS (Black Spruce), WB (Shrub), TG (Grass), EC (Sedge/forb), Control (Rich fen). Data set also includes environmental data (soil temperature, soil moisture, seasonal thaw depth, water table depth) taken at the same time as each flux.
Post-fire succession in 1994 Hajdukovich Creek burn: Measurements of soil moisture
This dataset contains soil moisture measurements taken using a handheld Campbell Scientific Hydrosense probe during July and August 2009 in the 1994 Hajdukovich Creek Burn. Meaurements were taken at 2 cm below the soil surface (organic layer) and at 15 cm below the soil surface (mineral layer).
Continuously measured forest soil moisture at four sites in the Coweeta Basin
Volumetric soil water content was measured at four locations in the Coweeta Basin across a range of elevations. At each location, soil water content was measured from 0 to 30 cm and from 30 to 60 cm. In addition, air temperature was measured at 100 cm height and soil temperature was measured at 5 and 20 cm depth. At two locations photosynthetic available radiation (PAR) was measured below and above canopy. Measurements are recorded every 60 seconds and data output hourly.
Manual soil moisture measurements from ten artificial forest gaps at the Coweeta Hydrologic Laboratory, North Carolina, 2000-2018
Ten artificial forest gaps were created in March 2002 at Coweeta, following two years of pretreatment data collection. Experimental gaps were created by pulling canopy trees with a winch until they were down. Trees, saplings, and seedlings were censused and tracked as part of a demography study. Soil moisture data was collected during the growing season as an explanatory variable for tree survivorship and mortality.
Hourly soil moisture, soil temperature, groundwater temperature, and groundwater stage height measurements from 9 Hillslope Study sites located in Macon County, North Carolina, within the Upper Little Tennessee River Basin
The Hillslope Study was established to directly link land use impacts to streamwater quality in the southern Appalachian Mountains. Nine sites were selected in the Little Tennessee River watershed in Macon County, NC, representing four land use types: forest, mountain development, traditional valley, and large river valley. At each of these sites, three subsurface flowpaths were identified, and four plots were established along the flowpath following the elevation gradient. At seven of the nine sites, the three lower elevation plots at one of the subsurface flowpaths had ground water wells installed in order to measure groundwater stage and temperature along an elevational gradient. Additional sensors were installed adjacent to the groundwater wells to measure soil moisture at 0-30 cm and 30-60 cm below the ground surface uphill and downhill of the well, and soil temperature at 5 cm below the ground surface. Measurements were taken every 60 seconds and output as hourly averages. Data were used as part of the Regional HydroEcological Simulation System (RHESSys) ecohydrologic model. Please see the accompanying well construction data for additional groundwater well information.
In situ soil moisture measurements for the Hillslope study from 5 sites located in Macon County, North Carolina, within the Upper Little Tennessee River Basin
This study was conducted across 5 sites that served as part of the regional hillslope study. Synoptic soil moisture measurements were measured using a Theta Probe that measures surface soil moisture up to a depth of 6cm. Site locations include 18 plots in WS14, 17 plots in Fall Branch, 13 plots in WS18, 10 plots on Mica City Road, and 12 plots at Ammons Creek. The measurement period varied among sites. The most complete is WS14 lasting about 3 years of regular measurements starting in 2011.
PrISM satellite rainfall product (2010-2021) based on SMOS soil moisture measurements in Africa (3h, 0.1°)
<p>The PrISM product is a satellite precipitation product available for Africa over a regular grid at 0.1° (about 10x10 km²) and every 3 hours. It is obtained from the synergy of SMOS satellite soil moisture measurements and IMERG-Early Run precipitation product through the PrIMS algorithm (<em>Pellarin et al., 2009, 2013, 2020, 2022, Louvet et al., 2015, </em>Román-Cascón et al. 2017). </p>
Field measurements of moisture content of dead leaves of Pinus pinaster (2014-2023)
<p>The Association for the Development of Industrial Aerodynamics - Forest Fire Research Centre (ADAI-CEIF) has developed a daily measurement program for the moisture content of a set of representative fine fuels in forests of Central Portugal since 1987. The sampling site is located is in Lousã, and samples are collected daily during the main fire season (15<sup>th</sup> of May - 15<sup>th</sup> of October) and twice a week for the rest of the year. These samples are then analyzed at the Laboratory for Forest Fire Studies (LEIF), located less than 1km from the sampling plot.</p> <p>As part of a study named "The role of field measurements of fine dead fuels moisture content in the Canadian Fire Weather Index System – a case study in the Central Region of Portugal" (https://doi.org/10.3390/f15081429) we present the field measurements of surface litter (<em>Pinus pinaster</em>) carried out from 2014 to 2023. Based on this dataset, the study proposes a correction for the moisture factor (<em>m<sub>f</sub></em>) in the Fine Fuel Moisture Code (FFMC) of the Canadian Fire Weather Index System (CFWIS). This moisture correction was used to directly determine the Initial Spread Index (ISI) and, subsequently, the Fire Weather Index (FWI).</p> <p>Acknowledgments:</p> <p>We gratefully acknowledge the researchers and laboratory technicians of the ADAI-CEIF team, who dedicated part of their time to the field collection of samples to determine the moisture content of forest fuels in Lousã (Coimbra, Portugal). In particular, we would like to thank the MCFIRE project (PCIF/MPG/0108/2017, https://mcfire.adai.pt/) for coordinating and supporting these measurements from 2019 to 2023. We also gratefully acknowledge the ongoing efforts of Nuno Luís and João Carvalho in ensuring the collection and processing of samples in the laboratory.</p>
Soil temperature, moisture, and ground heat flux measurements at LPTEG-TREES-1 site, 2019/07/01-2019/09/09
<p>This dataset includes the original measurements of soil temperature, moisture, and surface ground heat flux reconstructed from heat flux plate measurements at the LPTEG-TREES-1 site (N66°53’55’’, E66°45’27’’). Soil temperature (T_soil, °C) was measured at 2 cm below the peat layer surface. Soil liquid water content (theta_liq, m<sup>3</sup>/m<sup>3</sup>) was measured 2 cm below the mineral soil layer surface. Observation for ground heat flux at the soil surface (G_obs, W/m<sup>2</sup>) was reconstructed from the heat flux plate (buried 6 cm below the mineral soil surface) measurement plus the energy storage above the heat flux plate calculated based on soil temperature and soil heat capacity.</p>
Arctic LTER 1991: Percent moisture, bulk density, percent loss on ignition and percent organic carbon were measured for peat collected from soils in the Imnavait Creek watershed.
Percent moisture, bulk density, percent loss on ignition and percent organic carbon were measured for peat collected from soils in the Imnavait Creek watershed.
Soil Moisture (TDR) Measurements at LTER Moisture Exclusion Treatment Plots: 1994-Present (weekly)
Soil volumetric water content measurments made with Campbell datalogger and Tektronix1502B cable Tester in control and summer rain exclusion treatment plots.
Soil Moisture (TDR), Temperature, and Precipitation Measurements at FP3A Moisture Exclusion Treatment Plots: 2002-Present
Soil moisture and temperature readings taken with Campbell datalogger and Tektronix1502B Cable tester within control plot and summer rain exclusion plot.
Soil DOC and moisture measurements along climate and black spruce productivity gradients in interior Alaska
Water-soluble organic carbon data extracted from organic and mineral soils along gradients in stand productivity and soil temperature throughout 2004. 200g of organic soil or 400g of mineral (5 cm) soil were used. Values should be corrected for oven dry moisture percent of soil (also included in data set). Nine soil cores were obtained randomly on a 20 x 20 m sampling grid at each site in May, June-July, and again in September 2004. Cores were parsed in the field into organic (Oi+Oe+Oa) and mineral soil (5 cm, A+B). All cores were immediately sealed in polyethylene bags and were kept on ice in an insulated cooler while being transported to laboratory refrigerators kept at approximately 4 degC. All organic soil samples were extracted for WSOC content within 24 hours, and mineral soils were extracted within 48 hours. Water-soluble organic C concentrations from subsets of mineral soils extracted 24 and 48 hours after collection did not significantly differ (p = 0.30, 5.3 mg C l-1). The method for extracting WSOC from the soil followed Huang and Schoenau (1996), which was modified from McGill et al. (1986). Briefly, field moist soil samples were homogenized on a tray and roots greater then 2 mm were removed. Then 20 g of organic soil or 40 g of mineral soil were gently shaken on a rotary table with 100 ml (n = 9 per horizon per date) of deionized water for 1 hour, filtered through a Whatman GF/A filter, and then passed through a Whatman 0.45 um membrane filter. Soil extracts were preserved at pH 2 using H3PO4 and refrigerated at 4 degC prior to analysis. Each field moist soil sample was subsampled to determine moisture content (gravimetrically) and WSOC was adjusted to an oven-dry basis. Bulk density and depth measurements for each soil horizon were used to relate mg WSOC kg oven dry soil-1 on an area basis at each site (g WSOC m-2). Three zero-tension lysimeters (85 x 19 cm) were installed perpendicular to slope at the organic-mineral soil interface at the end of the g
Terrestrial gradient soil moisture measurements
This is part of a multi-disciplinary study to assess primary productivity on the terrestrial gradient plots, Coweeta Hydrologic Laboratory, Otto, NC. Soil moisture via Time Domain Reflectometry, TDR, was sampled at approximately 1 month intervals using the Tektronix 1502B cable tester.
Continuously measured forest soil moisture, soil temperature, and air temperature from the Bent Creek Experimental Forest, Asheville, NC
Long-term soil moisture stations were established within the Bent Creek Experimental Forest to collect measurements of soil moisture, soil temperature, and air temperature at a range of spatial scales, from ridge to cove and low to high elevations in the southern Appalachians, and across the regional range of rainfall amounts.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.