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48 results for “moisture measurement”
Continuously measured soil moisture, soil temperature, and air temperature from stations within the Beetree Reservoir watershed, Swannanoa, NC
Long-term soil moisture stations were established within the forested Beetree Reservoir watershed 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.
Continuously measured soil moisture, soil temperature, and air temperature from stations in Watershed 2, Coweeta Hydrologic Laboratory
Long-term soil moisture stations were established within the Coweeta Hydrologic Lab Basin to collect measurements of soil moisture, soil temperature, air temperature, and relative humidity 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.
Continuously measured soil moisture, soil temperature, and air temperature from stations in Watershed 5, Coweeta Hydrologic Laboratory
Long-term soil moisture stations were established within the Coweeta Hydrologic Lab Basin to collect measurements of soil moisture, soil temperature, air temperature, and relative humidity 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.
Continuously measured soil moisture, soil temperature, and air temperature from stations in Watershed 7, Coweeta Hydrologic Laboratory
Long-term soil moisture stations were established within the Coweeta Hydrologic Lab Basin to collect measurements of soil moisture, soil temperature, air temperature, and relative humidity 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.
Continuously measured soil moisture, soil temperature, and air temperature from a side-slope station located in Watershed 27, Coweeta Hydrologic Laboratory
Long-term soil moisture stations were established within the Coweeta Hydrologic Lab Basin to collect measurements of soil moisture, soil temperature, air temperature, and relative humidity 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.
Continuously measured soil moisture, soil temperature, and air temperature from a ridge station in Watershed 18, Coweeta Hydrologic Laboratory
Long-term soil moisture stations were established within the Coweeta Hydrologic Lab Basin to collect measurements of soil moisture, soil temperature, air temperature, and relative humidity 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.
Continuously measured soil moisture, soil temperature, and air temperature from stations in Watershed 32, Coweeta Hydrologic Laboratory
Long-term soil moisture stations were established within the Coweeta Hydrologic Lab Basin to collect measurements of soil moisture, soil temperature, air temperature, and relative humidity 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.
Continuously measured soil moisture, soil temperature, and air temperature from stations in Watershed 36, Coweeta Hydrologic Laboratory
Long-term soil moisture stations were established within the Coweeta Hydrologic Lab Basin to collect measurements of soil moisture, soil temperature, air temperature, and relative humidity 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.
Supplementary Data for Remote soil moisture measurement from drone-borne reflectance spectroscopy: Applications to hydroperiod measurement in desert playas
<p>This supporting dataset includes:</p> <p>• Ground-based reflectance measurements for the two plume-crossing transects (AHT3 and AHT4). Data show reflectance by wavelength at each scan position.</p> <p>• Reduced data records (RDR) showing GPS position data for the drone and the associated reflectance measurement, by wavelength, averaged over 1 second intervals for the three mapping sorties, AHS4, 5, and 7.</p> <p>• The sample datasheet showing ground-based and lab-base measurements of the sampling transects.</p>
Data: Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts
<p>Data for: <br><br>Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts</p> <p>Marian Schönauer<sup>1</sup>, Anneli M. Ågren<sup>2</sup>, Klaus Katzensteiner<sup>3</sup>, Florian Hartsch<sup>1</sup>, Paul Arp<sup>4</sup>, Simon Drollinger<sup>5</sup>, Dirk Jaeger<sup>1</sup></p> <p><sup>1</sup>Department of Forest Work Science and Engineering, University of Göttingen, Göttingen, Germany</p> <p><sup>2</sup>Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden</p> <p><sup>3</sup>Institute of Forest Ecology, University of Natural Resources and Life Sciences, Vienna, Vienna, Austria</p> <p><sup>4</sup>Forestry and Environmental Management, University of New Brunswick, New Brunswick, Canada</p> <p><sup>5</sup>Department of Physical Geography, University of Göttingen, Göttingen, Germany</p>
Data in support to the manuscript: Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation by Gianessi et al. (2024)
<p>The files contain data presented and discussed in the manuscript: Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation by Gianessi et al. (2024).</p> <div> <div>Gianessi, Stefano, Matteo Polo, Luca Stevanato, Marcello Lunardon, Till Francke, Sascha E. Oswald, Hami Said Ahmed, et al. “Testing a Novel Sensor Design to Jointly Measure Cosmic-Ray Neutrons, Muons and Gamma Rays for Non-Invasive Soil Moisture Estimation.” <em>Geoscientific Instrumentation, Methods and Data Systems</em> 13, no. 1 (January 16, 2024): 9–25. <a href="https://doi.org/10.5194/gi-13-9-2024">https://doi.org/10.5194/gi-13-9-2024</a>.</div> </div> <p> </p>
Soil Moisture (Tensiometer) Measurements at LTER Floodplain Moisture Exclusion Treatment Plots: 1991-2003 (weekly)
Soil moisture measurements taken with tensiometers in both the control and rainout treatment plots at floodplain sites (FP3A, FP3B and FP3C); performed weekly during summer from 1991-2003.
Soil Moisture Tension Measurements at LTER Floodplain Successional Sites (FP1A,FP2A,FP4A): 1985-2003 (hourly)
Soil moisture tension readings were collected hourly during summer months at LTER Floodplain Successional Sites (FP1A, FP2A and FP4A) with a Campbell data logger from 1985 until 2003.
Soil Moisture (TDR) Measurements at FP2A: 1993-1995
Soil moisture readings were collected hourly during summer months at FP2A with a Campbell data logger and Tektronix1502B Cable tester from 1993 until 1995.
Soil Moisture (TDR), Temperature, and Precipitation Measurements at UP2A Moisture Exclusion Treatment Plots: 1996-2000
Soil moisture and temperature readings taken with Campbell datalogger and Tektronix1502B Cable tester within control plot and summer rain exclusion plot.
Soil moisture near the surface measured by Thetaprobe:BAC: Biodiversity and Climate
Climate changes forecast for our region by GCM???s and shifts in biodiversity and composition each have the potential to alter ecosystem functioning; their interactive effects are unknown. The "BAC" experiment is designed to determine the direct and interactive effects of plant species numbers, plant community composition, temperature, and precipitation on 11 productivity, C and N dynamics, stability, and plant, microbe, and insect species abundances in CDR grassland ecosystems.
GPR Dataset of Moisture Measurements on Building Floors in Laboratory and On-Site
<h2>GPR Moisture Measurements on Building Floors in Laboratory and On-Site</h2> <p><strong>Related work</strong></p> <p>Laboratory Study: <br>Combining Signal Features of Ground-Penetrating Radar to Classify Moisture Damage in Layered Building Floors<br>https://doi.org/10.3390/app11198820</p> <p>On-Site Study:<br>Classification of Practical Floor Moisture Damage Using GPR - Limits and Opportunities <br>https://doi.org/10.1007/s10921-024-01111-7</p> <p>Doctoral Thesis:<br>Non-destructive classification of moisture deterioration in layered building floors using ground penetrating radar<br>https://doi.org/10.14279/depositonce-19306</p> <p><strong>Measurement Parameters</strong></p> <p>The GPR measurements were carried out with the SIR 20 from GSSI and a 2 GHz antenna pair (bandwidth 1 GHz to 3 GHz) in common-offset configuration. Each B-Scan consists of N A-Scans, each including 512 samples of a 11 ns time window. Survey lines were recorded with 250 A-Scans/ meter, which equals a 4 mm spacing between each A-Scan No Gains were applied. </p> <p><strong>Folder Description:</strong></p> <p><em>Lab_dry, Lab_insulDamage, Lab_screedDamage</em><br>- each contain 168 Measurements (B-Scans) in .csv on 84 dry floors, floors with insulation damage and screed damage.<br>- each floor setup was measured twice on two orthogonal survey lines, indicated by _Line1_ and _Line2_ in the file name.<br>- the file names encode the building floor setup e.g. CT50XP100 describes a 50 mm cement screed with 100 mm extruded polystyrene below<br>- the material codes are<br> CT: cement screed, CA: anhydrite screed, EP: expanded polystyrene, XP: extruded polystyrene, GW: glass wool, PS: perlites</p> <p>further information can be found in the publication https://doi.org/10.3390/app11198820<br><br><em>OnSite_</em><br>- 5 folders containing B-Scans on 5 different practical moisture damages<br>- the building floor setup is encoded according to the lab with an additional measurement point numbering at the start and a damage case annotation at the end of the file name with _dry, _insulationDamage and_screedDamage<br><br><strong>File Description:</strong></p> <p><em>B-Scans, Measurement files - no header</em><br>- dimension: 512 x N data point with N beeing the number of A-Scans including 512 samples of a 11 ns time window. <br>- survey lines were recorded with 250 A-Scans/ meter, which equals a 4 mm spacing between each A-Scan</p> <p><em>Moisture References</em><br>- Moist_Reference of On-Site Locations include the columns MeasPoint: Measurement point, wt%Screed: moisture content of screed layer in mass percent; wt%Insul: moisture content of insulation layer in mass percent. References were obtained by drilling cores with 68 mm diameter in the center of each survey line.<br>- Moist_Reference_Screed of Lab data include the columns Screed: Screed material and thickness in mm, wt%Screed moisture content of screed layer in mass percent<br>- Moist Reference_Insul of Lab data include the columns Insulation: Insulation material and thickness in mm, water addition in l: water added to the insulation layer in liters, V%Insulation: water added to the insulation layer in volume percent, RH%: resulting relative humidy in the insulation layer during measurement. These References are only avaible for Lab measurements on insulation damages.</p> <p> </p> <p> </p>
Data from: Growing at the arid edge: Leaf anatomy variations are more extensive than stems in five Mediterranean species across contrasting moisture regimes-all the raw data of the anatomic measurements
<p>Premise:</p> <p>The Mediterranean region is experiencing increasing aridity, affecting ecosystems and plant life. Plants exhibit various anatomical changes to cope with dry conditions, including anatomical changes. This study focused on five co-occurring Mediterranean plant species namely <em>Quercus calliprinos</em>, <em>Pistacia palaestina</em>, <em>Pistacia lentiscus</em>, <em>Rhamnus lycioides</em>, and <em>Phillyrea latifolia</em> in wet and dry sites, investigating anatomical differences in leaves and xylem.</p> <p>Methods:</p> <p>Leaf analysis involved stomatal density, stomatal length, Leaf Mass Area (LMA), lamina composition, quantification of leaf intercellular air spaces (IAS), and mesophyll cell area exposed to these spaces. Xylem anatomy was assessed through vessel length and area in branches.</p> <p>Results:</p> <p>In the dry site, three species showed increased stomatal density and decreased stomatal length. Four species exhibited increased palisade mesophyll (PM) and reduced air space volume. In contrast, the phenotypic change in the xylem was less pronounced, with vessel length remaining unaffected by the site conditions. Furthermore, vessel diameter decreased in two species. Intercellular air spaces (IAS) proved to be the most dynamic anatomical feature. <em>Quercus calliprinos</em> demonstrated the highest anatomical phenotypic changes, while <em>Rhamnus lycioides</em> exhibited minor changes.</p> <p>Conclusions:</p> <p>This study sheds light on the variation in anatomical responses among co-occurring Mediterranean plant species and identifies the most dynamic traits. Understanding these adaptations provides valuable insights into the ability of plants to thrive under changing climate conditions.</p>
Data from: Growing at the arid edge: Leaf anatomy variations are more extensive than stems in five Mediterranean species across contrasting moisture regimes-all the raw data of the anatomic measurements
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Macrosystems Soil Chemistry and Moisture Measurements at HFR, HJA, LUQ, NWT, CWT, and BCI
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. Soil chemistry (TN, TC, NH4-N, NO3-N, and pH) and moisture measurements were taken from soil cores from an array of 21 1m2 subplots at NWT, HJA, HFR, CWT, LUQ and BCI experimental sites and processed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
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