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135 results for “Water content”
Data from: Development and calibration of a novel sensor to quantify the water content of surface soils and biological soil crusts
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Stage-specific changes in the water, Na+, Cl- and K+ contents of organelles during apoptosis, demonstrated by a targeted cryo correlative analytical approach
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BOREAS TE-06 Predawn Leaf Water Potentials and Foliage Moisture Content Data
The BOREAS TE-06 team collected several data sets to examine the influence of vegetation, climate, and their interactions on the major carbon fluxes for boreal forest species. This data set contains summaries of predawn leaf water potentials and foliage moisture contents collected at the TF and CEV sites that had canopy access towers. The data was collected on a nearly weekly basis from early June to late August 1994 by TE-06, members of the BOREAS staff, and employees of Environment Canada.
LBA-ECO ND-02 Soil Volumetric Water Content, Tapajos National Forest, Brazil
This data set reports monthly measured soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). There are two ASCII comma delimited files with measured VWC, one for the control plot and one for the rainfall exclusion plot.These measured values were used by the authors to develop a model of daily changes in the distribution of water through the soil layers. The simulated daily VWC values are also provided in the file with the measured VWC. For comparison, results of VWC simulation for the control and treatment plots using a STELLA model which incorporates rainfall and plant water uptake are provided. There are two ASCII comma delimited files of simulated results. See Belk et. al., 2007 for details.
LBA-ECO ND-02 Soil Gas and Water Content, Rainfall Exclusion, Tapajos National Forest
This data set reports soil carbon dioxide (CO2) and nitrous oxide (N2O) concentrations and soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. Samples were collected every two to three months. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002).Data provided are from December 9, 1999, and April 2, 2000-June 14, 2002. There is one comma-delimited data file with this data set.
HIRDLS-MLS/Aura Level 3 Monthly 10 x 20 deg Ice Water Content V002 (HIRMLS3IWC) at GES DISC
HIRMLS3IWC is the Joint EOS High Resolution Dynamics Limb Sounder (HIRDLS) and Microwave Limb Sounder (MLS) monthly 10 degreee lat x 20 degreee lon gridded product for ice water content (IWC) data. This is version 2 released to the public, with the original input coming from v3.3 MLS and v7 HIRDLS. The grid spatial coverage is near-global (-80 to +90 degrees latitude). The product contains HIRDLS and MLS IWC data for the time of the HIRDLS mission from February 1, 2005 through December 31, 2007. The useful vertical range of the data is from 215 to 82 hPa for both HIRDLS and MLS, and the vertical resolution is about 1.5 km for HIRDLS and 3 km for MLS. Users of the HIRMLS3IWC data product should read the Version 2 HIRDLS-MLS Level 3 IWC Data Description and Quality document for more information.The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF5. The data file contains two grid objects (one with HIRDLS data, the other with MLS data), each with a set of data fields, attributes, and metadata. Each grid contains data fields with IWC values, and the HIRDLS grid includes data fields with volume density, cloud top pressure and frequency of clouds. Time, latitude and vertical pressure information are also included in each grid.
SHIFT: AVIRIS-NG Derived Gridded Mosaicked Canopy Water Content, California, 2022
This dataset provides per-pixel vegetation canopy water content (CWC) derived from surface reflectance measured by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument from 2022-02-24 to 2022-05-17. This imagery was acquired as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign. AVIRIS-NG measures reflected radiance in 425 bands at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements were radiometrically and geometrically calibrated as well as atmospherically corrected, and are provided at approximately 5-meter spatial resolution. These data include mosaics of several flight lines that were flown on a weekly basis covering a 640-square-mile (1,656-square-kilometer) study area, which stretches from Los Padres National Forest in the east to the Central California coast and into the coastal ocean in the west, including Dangermond Preserve and UCSB's Sedgwick Reserve. These data will help track changes in vegetation characteristics from late winter through early summer by providing insights into health and resilience of ecosystems as California's climate grows drier. In particular, temporal and spatial patterns of CWC will indicate drought stress and increased wildfire risk. The CWC files in this publication were processed by applying a simple fitting of spectral absorption features of liquid water and are distributed in cloud-optimized GeoTIFF (COG) format.
Pre-ABoVE: Active Layer Thickness and Soil Water Content, Barrow, Alaska, 2013
This data set provides estimates of Active Layer Thickness (ALT) determined with ground-based measurements, and calculated soil volumetric water content (VWC) at four selected sites around Barrow, Alaska in August 2013. ALT was determined using a ground-penetrating radar (GPR) system and traditional mechanical probing. Calculated uncertainties are also included. GPR measurements were taken along four transects of varying length (approx. 1 to 7 km). Mechanical probing included several high-density surveys (every 1 m within 100-m survey line) along each GPR transect. VWC of the active layer soil was calculated at 3-8 calibration points per site where the probe measurement was exactly co-located with a GPR trace.
eauptic one-Effet of water shortage on the whole foliar elemental content (ie. Ionome)
GEO Series GSE179022. Brassica napus. 24 samples. Type: Expression profiling by high throughput sequencing.
Calibration of TDR probes for water content measurements in partially saturated pyroclastic slope
<p>The file contains raw and processed data. The raw data consists of measurements of the soil dielectric constant and the soil samples weight. The data was processed in order to relate the soil dielectric constant to the soil volumetric water content. The calibrated relations are also found in the file.</p>
Dataset of global climatic soil water contents and consecutive dry days
<p>The climatic water content is calculated as previously described [1, 2] using the average number of consecutive dry days obtained from precipitation timeseries (MSWEP [3]), potential evapotranspiration [4] (based on WorldClim [5]) and soil information (SoilGrids [6]).<br> The maps are generated at 0.1° resolution with a global extent of -180 to 180 °E and -60 to 90 °N.</p> <p>References<br> [1] Bickel, Samuel, Xi Chen, Andreas Papritz, and Dani Or. “A Hierarchy of Environmental Covariates Control the Global Biogeography of Soil Bacterial Richness.” Scientific Reports 9, no. 1 (August 20, 2019): 1–10. https://doi.org/10.1038/s41598-019-48571-w.<br> [2] Bickel, Samuel, and Dani Or. “Soil Bacterial Diversity Mediated by Microscale Aqueous-Phase Processes across Biomes.” Nature Communications 11, no. 1 (January 8, 2020): 1–9. https://doi.org/10.1038/s41467-019-13966-w.<br> [3] Beck, Hylke E., Eric F. Wood, Ming Pan, Colby K. Fisher, Diego G. Miralles, Albert I. J. M. van Dijk, Tim R. McVicar, and Robert F. Adler. “MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment.” Bulletin of the American Meteorological Society 100, no. 3 (March 2019): 473–500. https://doi.org/10.1175/BAMS-D-17-0138.1.<br> [4] Jensen, M. E., and H. R. Haise. “Estimating Evapotranspiration from Solar Radiation.” Proceedings of the American Society of Civil Engineers, Journal of the Irrigation and Drainage Division 89, no. 0023 (1963): 15–41.<br> [5] Fick, Stephen E., and Robert J. Hijmans. “WorldClim 2: New 1-Km Spatial Resolution Climate Surfaces for Global Land Areas: New Climate Surfaces for Global Land Areas.” International Journal of Climatology 37, no. 12 (October 2017): 4302–15. https://doi.org/10.1002/joc.5086.<br> [6] Hengl, Tomislav, Jorge Mendes de Jesus, Gerard B. M. Heuvelink, Maria Ruiperez Gonzalez, Milan Kilibarda, Aleksandar Blagotić, Wei Shangguan, et al. “SoilGrids250m: Global Gridded Soil Information Based on Machine Learning.” PLOS ONE 12, no. 2 (February 16, 2017): e0169748. https://doi.org/10.1371/journal.pone.0169748.</p> <p> </p>
Liquid water content and vertical velocity from RICO-based LES simulations
<p>The RICO-based simulations by implementing the LES module of WRF model 4.0 generate the raw data. The simulation continued for 40 hours with a time step of 0.5 second. The domain size is 12.8×12.8×4 km<sup>3</sup>, with a resolution of 50 m and 40 m in the horizontal and vertical orientation, respectively. The outputs during 8~40 hour were retained every 20 minutes. Two parameters (LWC and vertical velocity) were then extracted by using MATLAB to create the following dataset. Additionally, LWC at 1 min before each moment was also uploaded for tracking. The "q" and "w" in the filename represent LWC and vertical velocity, respectively, and the number in the filename represents the corresponding hour and minute (e.g. "q24_20" means LWC value at 24h20m). The unit of "q" and "w" are "kg/kg" and "m/s' respectively.</p>
Ispaghula and Colonic Water Content
ClinicalTrials.gov study NCT01805999. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Body Water Content Sensor
ClinicalTrials.gov study NCT00643721. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of High Altitude Exposure, Acclimatization and Re-exposure on Lung Water Content by Ultrasound
ClinicalTrials.gov study NCT02760186. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Quantitative Determination of Brain Water Content in Patients During and After Hepatic Encepalopathy
ClinicalTrials.gov study NCT02177708. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Acetazolamide on Lung Water Content by Ultrasound in Lowlanders Older Than 40 Years at Altitude
ClinicalTrials.gov study NCT03539367. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Acetazolamide on Lung Water Content by Ultrasound in Patients With Respiratory Disease at Altitude
ClinicalTrials.gov study NCT03540901. IPD Sharing: Not stated. Countries: 1. Publications: 0.
SMEX03 Vegetation Water Content: Oklahoma, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set consists of Vegetation Water Content (VWC) data for two Soil Moisture Experiment 2003 (SMEX03) regional study areas, Oklahoma North and Oklahoma South. VWC was derived from the Normalized Difference Water Index (NDWI) which was obtained from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper (ETM+) imagery.
SMEX05 Vegetation Water Content Data: Iowa, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set contains vegetation water content data of the Ames, Iowa, USA area. A vegetation sampling campaign was conducted in coordination with satellite calibration and correction to result in an estimated map of Vegetation Water Content (VWC).
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.