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145 results for “field water”
Plant community light interception:Biodiversity: A field test of biofuel production and ground-water quality
Bioenergy could be an important part of the solution to the projected climate problems of the future, and in addition could provide auxiliary ecological services. The project described here aims to parameterize expected benefits of diverse prairie biofuel plantations for groundwater quality, and also to further evaluate its biofuel potential. This project, done in cooperation with the USGS, grows out of purely scientific discoveries in other Cedar Creek experiments. We know that diverse prairie systems are better able to retain inorganic nitrogen than monoculture systems (e.g., Dijkstra etal. 2007). However, nitrogen is just one pollutant of many being delivered to surface-water and ground-water from agricultural systems. There are a number of others including phosphorus, pesticides, and veterinary pharmaceuticals. This fact combined with the rising demand for corn grain ethanol could lead to further declines in the water quality of agricultural regions in the United States. Perennial vegetative buffers, in particular diverse prairies and/or hay (CRP), are proposed solutions. The vegetation in such buffers can be used for biofuel and simultaneously appear to be attenuate leaching of agricultural compounds through the unsaturated zone to groundwater. This 3-year cooperative USGS and UMN study will (1) examine the ability of prairies and hay (CRP) to attenuate leaching of agricultural compounds to ground-water (2) compare biofuel production of four cropping systems: diverse prairie, hay (CRP), corn grown with chemical fertilizer, and corn grown with a combination of manure and chemical fertilizer, (3) provide for future investigations into microbial antibiotic resistance and (4) provide a better understanding of the unsaturated zone hydrology and shallow groundwater recharge at Cedar Creek. The project will take place in the E120 field.
Field evidence reveals conservative water use of poplars under high aerosol conditions in Beijing
<ol> <li><span>Anthropogenic aerosols could alter multiple meteorological processes such as radiation regime and air temperature, thereby modifying plant transpiration. However, the lack of field observations at the leaf- and plant-level hinders our ability to understand how aerosols could affect plant water use. </span></li> <li><span>Aerosol concentrations in northern China fluctuates periodically over a wide range<a name="_Hlk47963537">.</a> Taking advantage of this unique natural experiment opportunity, we conducted a full series of supporting physiological and environmental measurements to explore aerosols' effect on leaf transpiration and sap flow in the field using poplar trees (<i>Populus </i>× <i>canadensis</i> Moench).</span></li> <li><span>We found that high aerosol concentrations suppressed sun-leaf transpiration by reducing leaf-to-air vapor pressure deficit (VPD<sub>leaf</sub>) while not affecting shade-leaf transpiration, mainly because the negative effect of reduced VPD<sub>leaf</sub> on transpiration offset the positive effects of the increased stomatal conductance (g<sub>s</sub>). As aerosol concentration increases, the g<sub>s</sub> of both sun and shade leaves decreased more rapidly with an increase in VPD<sub>leaf</sub>, which caused their transpiration rates to become less sensitive to VPD<sub>leaf</sub>. Similarly, aerosols reduced sap flow density and its sensitivity to VPD. </span></li> <li><span><i>Synthesis.</i> Our study provided observational evidence on aerosols' effects on plant transpiration at the leaf and canopy scales. The reduced transpiration and stronger stomatal control indicated that plant water use becomes more conservative under elevated aerosol concentrations.</span></li> </ol>
DESO-water force fields and MD systems
<p>DESO-water force fields and MD systems</p>
Supplementary material 1 from: Inoue N, Sato M, Furuichi N, Imaizumi T, Ushio M (2022) The relationship between eDNA density distribution and current fields around an artificial reef in the waters of Tateyama Bay, Japan. Metabarcoding and Metagenomics 6: e87415. https://doi.org/10.3897/mbmg.6.87415
Tables S1–S4
Supplementary material 2 from: Inoue N, Sato M, Furuichi N, Imaizumi T, Ushio M (2022) The relationship between eDNA density distribution and current fields around an artificial reef in the waters of Tateyama Bay, Japan. Metabarcoding and Metagenomics 6: e87415. https://doi.org/10.3897/mbmg.6.87415
Figures S1–S4
FIGURE 1. Mamersa rouxi Walter, genital field. A in New records of water mites from standing waters in Thailand, with the description of nine new species (Acari: Hydrachnidia)
FIGURE 1. Mamersa rouxi Walter, genital field. A = female; B = male. Scale bars = 50 µm.
Figures 2-9 from: Silva GL, Metzelthin MH, Da-Costa T, Rocha MS, Silva DE, Ferla NJ, Silva OS (2017) Responses of water mite assemblages (Acari) to environmental parameters at irrigated rice cultivation fields and native lakes. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19988
Figures 2-9 View of the study sites: (2) Detailed view of the rice-water samples, (3) Rice area 1 – R1, (4) Rice area 2 – R2, (5) Rice area 3 – R3, (6) Rice area 4 – R4, (7) Lake 1 – L1, (8) Lake 2 – L2, (9) Lake 3 – L3.
Figures 12-13 from: Silva GL, Metzelthin MH, Da-Costa T, Rocha MS, Silva DE, Ferla NJ, Silva OS (2017) Responses of water mite assemblages (Acari) to environmental parameters at irrigated rice cultivation fields and native lakes. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19988
Figures 12-13 Ordination diagram (first two axes) of Non-Metric Multidimensional Scaling (NMDS) using (12) Bray-Curtis and (13) Jaccard indexes with Envfit function for the evaluated environments. (▲ Lake 1, ■ Lake 2 and 3, ● Rice Area). Stress: 0.15.
Figures 10-11 from: Silva GL, Metzelthin MH, Da-Costa T, Rocha MS, Silva DE, Ferla NJ, Silva OS (2017) Responses of water mite assemblages (Acari) to environmental parameters at irrigated rice cultivation fields and native lakes. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19988
Figures 10-11 Abundance and richness of mites in rice areas cultivation and native lakes: (10) abundance adults (± SD) (Log10 X+1); (11) richness (± SD) (Log10 X+1). Different letters indicate significant differences, Tukey test, p < 0.05.
ORGANIZATION OF AUTOMATED TECHNOLOGY OF MIXING WATER FOR PREPARATION OF IRRIGATION WATER IN FIELD CONDITIONS
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Deuterium Magnetic Resonance Imaging Using Deuterated Water-Induced 2H-Tissue Labeling Allows Monitoring Cancer Treatment at Clinical Field Strength
<p>Raw 2H-NMR Data of deuterium content in tumor tissues. </p>
Field evidence reveals conservative water use of poplars under high aerosol conditions in Beijing
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SWOT Postlaunch Oceanography Field Campaign Shipboard CTD and Water Sample Data
The SWOT Postlaunch Oceanography Field Campaign Shipboard CTD and Water Sample Data collection provides the conductivity, temperature and depth (CTD) measurements and water sample measurements from shipboard instruments deployed by the Surface Water and Ocean Topography (SWOT) postlaunch field campaign. The SWOT satellite mission launched in late 2022 and underwent a calibration and validation (cal/val) phase in 2023. As part of cal/val, an array of oceanographic instruments was deployed at a site 300 km offshore of California. Shipboard data come from four research cruises on the Bold Horizon and the Sally Ride, with different time spans ranging from February 23, 2023 to November 2, 2024. These measurements were used to adjust the calibrations of mooring CTD sensors (deployed in the same field campaign) to a common and well-calibrated reference, to enable the calculation of steric height for SWOT cal/val analyses. <br><br>Most, but not all of the CTD casts were collected at the actual mooring sites. For some casts, mooring instruments were attached temporarily to the ship CTD system for cross-calibration, and these may have been done anywhere en route to/from the mooring sites. Due to the varying depth ratings of the mooring instruments thus attached, not all CTD casts covered the full water column. The resulting CTD data collection is an irregular pattern of sampling locations and depths, which includes a number of full-depth casts in the vicinity of the moorings.
Figure 1 from: Silva GL, Metzelthin MH, Da-Costa T, Rocha MS, Silva DE, Ferla NJ, Silva OS (2017) Responses of water mite assemblages (Acari) to environmental parameters at irrigated rice cultivation fields and native lakes. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19988
Figure 1 - Schematic map of Brazil and Rio Grande do Sul State illustrating the study area.
Current measurements from oil-on-water exercise in North Sea (Frigg oil field) June 2019
<p>Data from Accoustic Doppler Current Profiler.</p> <p>Position: 59.85N 2.4E<br> Deployment date: 12.06.2019<br> Depth: 12m below surface, upwards looking<br> Instrument: Nortek Signature 500<br> File type: Nortek Ocean Contour generated matlab file</p>
Visualization of the Multidimensional Volumetric Data-base by Video - Mapping Technology in field of Operational Oceanography (Algerian basin) (zooplankton expressed as carbon in sea water - mass concentration of chllorophyl a in sea water,Wekeo Data ) During 2022 year : (educational support resource in space oceanography)
<p>The multidimensional view of the Earth and its immediate environment that is provided by space borne sensors, operating at many wavelengths and directed at many different phenomena, has revolutionized man's understanding of his planet and the surrounding space environment.<strong>(John H. McElroy.,1985)</strong>,</p> <p>Earth observation satellites measuring in the visible and infrared spectral domain provide a global perspective for many required to determine the role of the ocean in the global climate system, as well as the effects on the ocean of a changing climate <strong>(James A. Yoder and all.,2014)</strong>.</p> <p>Data visualization by video graphics technology is a digital modeling technique also a description or analogy used to help visualize something that cannot be observed directly which exploits the bases of scientific knowledge in a data processing system by the use of mathematical and statistical tools and analysis and forecasting methods to visualize what is hidden behind the data. This work is inspired by the general principle of numerical modeling and data processing, which takes into consideration (the observation of natural phenomena, and the statistical processing of scientific data, which are at the base of the functioning of natural variation)</p> <p> </p> <p><strong>Bibliographic reference:</strong><br> <strong>-Monitoring Earth's Ocean, Land, and Atmosphere from Space-Sensors, Systems, and Applications, edited by Abraham Schnapf, American Institute of Aeronautics and Astronautics, 1985<br> -Optical Radiometry for Ocean Climate Measurements, Elsevier Science & Technology, 2014</strong></p> <p> </p>
A Comparison of Land and Water Based Plyometric Training on Fitness of Field Hockey Players
ClinicalTrials.gov study NCT02802800. IPD Sharing: NO. Countries: 1. Publications: 0.
Supporting Shellfish Aquaculture in the Chesapeake Bay using Artificial Intelligence to Detect Poor Water Quality through Field Sampling and Remote Sensing
We are collecting and analyzing biological, chemical, and physical variables in and above the water at target sites and in the lab, looking for hyperspectral proxies that covarying with pollutants. This project is applying an AI model to address water quality, using datasets collected around the Bay in combination with remotely sensed data during targeted field work to support the need to more effectively sort through disparate data sets to identify areas of poor water quality that result in shellfish bed closure.
Gene Expression changes induced by exposure to field water samples collected at Walker Mine, CA
GEO Series GSE7666. Daphnia magna. 24 samples. Type: Expression profiling by array.
Gene Expression changes induced by exposure to field water samples collected at Greenhorn Mine, CA
GEO Series GSE7667. Daphnia magna. 24 samples. Type: Expression profiling by array.
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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.