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396 results for “Surface water”
water surface at about 80 m/s wind speed
<p>Filmed at University of Miami's SUSTAIN wind wave tank (http://sustain.rsmas.miami.edu/) with the imaging slope gauge (ISG) developed by the Air-Sea Interaction group of Heidelberg University (http://www.iup.uni-heidelberg.de/institut/forschung/groups/gw). More information about the ISG can be found at https://doi.org/10.2971/jeos.2014.14015.<br> filmed at: 10000fps<br> playback at: 60fps<br> image size: approx, 28cmx24cm</p>
Dataset of "Inner Edge of Habitable Zone for Earth-sized Planets with Various Surface Water Distribution"
<p>This dataset contains results to create figures in the paper "Inner Edge of Habitable Zone for Earth-sized Planets with Various Surface Water Distribution" by T. Kodama et al.</p> <p>It contains that temperature, ground temperature, ground specific water, evaporation efficiency, cloud fraction, latent heat flux, top radiative flux (long and short), precipitable water, cloud water ratio from our GCM calculations. We used Gtool3-dcl5 which is developed by the GFD-DENNOU Club for analysis (<a href="https://www.gfd-dennou.org/">https://www.gfd-dennou.org</a>). For more </p>
Ion-specific water structures at a metal surface and its effect on the hydrogen production
<p>Here lies the tabulated data used to create the Figures for the Nature Communications manuscript NCOMMS-23-54843A titled "Ion-specific water structures at a metal surface and its effect on the hydrogen production".</p>
Effect of ion-specific water structures at metal surfaces on hydrogen production
<p>Here lies the tabulated data used to create the Figures for the Nature Communications manuscript NCOMMS-23-54843B titled "Effect of ion-specific water structures at metal surfaces on hydrogen production".</p>
Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China
<p>Remote sensing technology has the potential to significantly enhance the lakes large-scale and long-term dynamic monitoring capabilities. High-quality in-situ datasets are essential for improving the accuracy and reliability of remote sensing retrieval of water optical parameters. This dataset provides satellite-ground synchronized in-situ data on water optical parameters for typical lakes in China spanning the period between 2020 and 2023. The dataset includes quality-checked remote sensing reflectance ( ) data and water optical parameter data for chlorophyll-a (Chl-a), total suspended matter (TSM), Secchi disk depth (SDD), andwater surface temperature (WST). It encompasses 586 sampling points across 18 lakes. The dataset exhibits two significant highlights: Firstly, synchronous observations from multiple satellites are coordinated during the data collection process, effectively supporting the retrieval and validation of water remote sensing products. Secondly, it encompasses diverse data types, collecting synchronous measurements of and various water optical parameters. This dataset will be continuously updated, thereby making a substantial contribution to enhancing regional and global lake monitoring capabilities through satellite remote sensing data.</p>
Monthly 30-m Surface Water Dataset of the Tibetan Plateau from 2000 to 2021
<p>This repository contains the relevant data for the paper <strong>Monthly 30-m Surface Water Dataset of the Tibetan Plateau from 2000 to 2021</strong></p> <p>T<span>he reconstructed Tibetan Plateau monthly water history dataset from 2000 to 2021 is stored in the file “TP2000_2021_MonthlyWaterHistory_afterSGF.zip.” This collection includes 264 GeoTIFF images, each viewable in QGIS software. The images use the EPSG: 4326-WGS84 Coordinate Reference System, with each image comprising a grid of 136,036 × 51,976 pixels at a 30-meter resolution, classifying each pixel as either water or non-water. Validation data obtained via stratified random sampling are provided in the file “TP_validation_samples.csv,” which contains 12,141 random samples. For each sample, the file includes the sample coordinates, Google Earth high-resolution image acquisition date, actual classifications by visual interpretation, and dataset classification results</span><span><span>.</span></span></p>
Groundwater and surface water quantity and quality measurement results for groundwater dependent ecosystem in Kazu leja, Latvia in 2019 and 2020
<p>Groundwater and surface water quantity and quality measurement results and methodology of the investigations of the groundwater dependant ecosystem in Kazu leja, Latvia in 2019 and 2020 is presented. The data comprises:</p> <ol> <li>Methodology</li> <li>Measurement site data [2_observation_sites.csv]</li> <li>Field and laboratory measurement results [3_field_and_lab_results.csv]</li> <li>Measurement uncertainty [4_measurement_uncertainity.csv]</li> <li>Automated water level, temperature, and electrical conductivity measurements [5_level_temperature_electricConductivity_loggers.csv]</li> </ol>
2017 Microbial Ecology of the Surface Ocean - SCOPE, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the MESO-SCOPE cruise in 2017. Mesoscale eddies affect the variability of ocean ecosystems through different dynamics, but an exhaustive description of their influence on the plankton community is still missing, partly due to the complex physical-biological interaction taking place inside the eddies. One of the most well known effects of mesoscale eddies is the vertical displacement of water in their interior due to the geostrophic balance with the eddy circular motion. Since eddies of different polarity displace water in opposite directions, their impact on pelagic ecosystems is postulated to be very different. Based on this information, one of the objectives of the MESO-SCOPE expedition was to study a mesoscale dipole, i.e. a system composed of adjacent cyclonic and anticyclonic eddies. The MESO-SCOPE (Microbial Ecology of the Surface Ocean - Simons Collaboration on Ocean Processes and Ecology) expedition collected oceanographic observations in the region north of the Hawaiian Islands with the aim of identifying the impact of mesoscale eddies on the ecosystem of the North Pacific Subtropical Gyre. The expedition was funded by the Simons Collaboration on Ocean Processes and Ecology (SCOPE) and hosted on the research vessel Kilo Moana between June 26 and July 15 2017, leaving from and returning to the port of Honolulu. Scientists from eight countries, representing eleven SCOPE laboratories, participated in the MESO-SCOPE expedition and contributed their expertise in research areas as ocean biogeochemistry, molecular biology, bio-optics, plankton taxonomy, microbiology, and ecology.</p>
FIG. 9 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean
FIG. 9. — SST curves based on the percentages of warm- and cool-water indices.
FIG. 8 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean
FIG. 8. — The score plots of the factors revealed from the R-mode analysis for each section.
FIG. 6 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean
FIG. 6. — Litho-, bio- and chronostratigraphy of the studied sections in Gavdos Island, Greece.
surface water datasets
<p>Satellite remote sensing provides an efficient pathway to map terrestrialinland surface water extent across different spatial and temporal scales. However, how to monitor the surface water distribution and its spatiotemporal variability via combining optical and radar remote sensing datasets still faces substantial challenges. In this study, we propose a Seamless Surface Water Mapping Framework (SSWMF) which synergizes both optical (MODIS, Landsat 8, Sentinel-2) and microwaveSAR (Sentinel-1) imageries. The validity of SSWMF was first proved over the middle and lower reaches of the Yangtze River (MLYR) of China with abundant lake resources, showing an overall accuracy of 92%. The90.72%, and the results indicate that SSWMF can provide surface water map with higher spatial and temporal continuity compared to the Joint Research Centre Global Surface Water dataset. Multi-source validation showed that the SSWMF-derived surface water maps can well capture the temporal fluctuation and spatial heterogeneity of water resources over China during the study period., with an overall accuracy of 92.39%. Overall, theour results suggest that the proposed water mapping framework is promising and is readily applicable to large-scale water resource management and drought/flood monitoring at large scale.</p> <p>1.Yang, Y.M., Huang, S.F., Qiu, J.X., Liu, C.J., & Jiang, W. (2022). A surface water mapping framework combining optical and radar remote sensing and its application in China. Geocarto International, DOI: 10.1080/10106049.2022.2129836</p>
Progeny Project MW1 surfactant at water-vacuum interface simulation data, 1 to 48 molecules per surface
<p>"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted.</p> <p>Different number of molecules per surface in each sub directory. See Readme.txt.</p>
Progeny Project MW1 surfactant at water-vacuum interface simulation data, 60 to 154 molecules per surface
<p>"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted.</p> <p>Different number of molecules per surface in each sub directory. See Readme.txt.</p>
Progeny Project MW1 surfactant at water-vacuum interface simulation data, 161 to 175 molecules per surface
<p>"MW1" terthiophene based surfactant molecule at the water-vacuum interface from the PROGENY project ,<br> gromacs 2021.2 input and output.<br> From the trajectories contained in this archive density profiles and surface tensions can be extracted.</p> <p>Different number of molecules per surface in each sub directory. See Readme.txt.</p>
Data from: Surface Acoustic Wave-based Lab-On-a-Chip for the fast detection of Legionella pneumophila in water
<p><span>Surface acoustic wave (SAW) -based immuno-biosensors are used for several applications, thanks to their versatility and faster response than conventional analytical methods. SAW immuno-biosensors can be usefully applied to promptly detect bacteria and prevent bacterial infections that can lead to severe diseases. Here, we present a SAW immuno-biosensor to detect <em>Legionella</em> <em>pneumophila</em> in water. Our device, working at ultra-high frequency (740 MHz), is functionalized with an anti-<em>L</em>. <em>pneumophila</em> antibody to maximize the specificity. We report the characteristic curve of the sensor, calculated measuring bacterial samples at known densities, and its related parameters. We also measure <em>L</em>. <em>pneumophila</em> samples contaminated with different Gram-positive and Gram-negative bacterial species (<em>Escherichia</em> <em>coli</em> and <em>Enterococcus</em> <em>faecium</em>) and samples diluted in mains waters. The proposed device is able to detect <em>L</em>. <em>pneumophila</em> in the range from 1</span><span>×</span><span>10<sup>6</sup> to 1</span><span>×</span><span>10<sup>8</sup> CFU/mL, with a limit of blank of 1.22</span><span>×</span><span>10<sup>6</sup> CFU/mL and a limit of detection of 2.01</span><span>×</span><span>10<sup>6</sup> CFU/mL. The nonspecific signal due to contaminant bacteria is very limited and measurements of <em>L</em>. <em>pneumophila</em> are not affected by contamination. We obtain a good detection also in mains water, representing a realistic matrix for <em>L</em>. <em>pneumophila</em>. Our results are encouraging and pave the way to the use of fast, easy-to-use, reliable and precise sensors to prevent bacterial infections in human activities.</span></p>
Bio-Optic bio-shortwave model code, initial conditions, river and boundary forcing for "Estimating the seaonal impact of optically significant water constituents on surface heating rates in the Western Baltic Sea" paper.
<p>Bio-Optic bio-shortwave model code, initial conditions, river and boundary forcing as well as selected model output used for analysis and producing figures in the paper "Estimating the seaonal impact of optically significant water constituents on surface heating rates in the Western Baltic Sea". Contact Bronwyn Cahill if you have questions at: bronwyn.cahill@io-warnemuende.de</p>
Monthly surface water in the Tibet Plateau in 2020
<p>We produced a new high-resolution dataset (10 m spatial resolution) about the month-by-month surface water in the Tibet Plateau in 2020 by using the deep learning method and Sentinel-1 image.</p> <p>The related source code can be found at: https://github.com/xinluo2018/Tibet-Water-2020.git.</p> <p> </p>
Convection-permitting projections of future changes in water balance and groundwater-surface water interactions
<p>This dataset consists of processed data in the manuscript of "Convection-permitting projections of future changes in water balance and groundwater-surface water interactions".</p>
Data for "Upward migration of calanoid copepods is driven by high food quality in surface waters in an alpine lake"
<p>In this study, we explored why zooplankton migrated to surface waters at night from the perspective of their physiological characteristics and adaptability to the environment. The calanoid Arctodiaptomus sp. accumulated large amounts of polyunsaturated fatty acids (PUFAs) and astaxanthin, which relieved oxidative stress to fatty acids. The concentrations of lutein, a precursor of astaxanthin synthesis, were highest in surface water, indicating the enhancement of ultraviolet radiation (UVR) to precursor synthesis, which was confirmed by our indoor experiment. The calanoids migrated to surface water at night to obtain high concentrations of lutein and PUFAs from their diets. Relevant data for this study include: the vertical distribution of <em>Arctodiaptomus</em> sp. during the day and at night; concentrations of total astaxanthin, free astaxanthin, astaxanthin esters in <em>Arctodiaptomus</em> sp. at night and during the day; fatty acid concentration and the ratio of SAFAs (saturated fatty acids), MUFAs (monounsaturated fatty acids), and PUFAs in<em> Arctodiaptomus</em> sp. during the day and at night; the carotenoid concentrations in seston at different depth of Lake Heihai during the day and at night; the lutein concentration in seston under UVR and dark treatment; main characteristics of Lake Heihai; fatty acid concentrations and the ratio of SAFAs , MUFAs, and PUFAs of seston in Lake Heihai; the relative abundance of Chlorophytes with the size of greater than 5 μm and 0.2-5 μm in different layers of Lake Heihai; fatty acid concentrations of the calanoids in Fuxian Lake.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.