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486 results for “water use”
Figure 3 in The influence of land use-impacted tributaries on water quality and phytoplankton in the Mooi River, North West Province, South Africa
Figure 3: Canonical Correspondence Analysis (CCA) of the physico-chemical environmental variables, natural log of the phytoplankton data, and the different sites located in the Mooi River for 2015.
Fig. 525. Water extraction for agricultural use. A in Fig. 4 in Fig. 4 in Fig. 3 in Fig. 21. Sesarmops mora n in Paralbunea dayriti
Fig. 525. Water extraction for agricultural use. A: Qarasu River; this locality is the natural habitat and spawning site of some rare species such as Sabanejewia aurata. B: Karun River.
Dataset used in "Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an Unmanned Aerial Vehicle". https://doi.org/10.5194/hess-2017-625.
<p>Dataset used in</p> <p>Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an Unmanned Aerial Vehicle</p> <p>Filippo Bandini<sup>1</sup>, Daniel Olesen<sup>2</sup>, Jakob Jakobsen<sup>2</sup>, Cecile Marie Margaretha Kittel<sup>1</sup>, Sheng Wang<sup>1</sup>, Monica Garcia<sup>1</sup>, and Peter Bauer-Gottwein<sup>1</sup></p> <ul> <li><sup>1</sup>Department of Environmental Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark</li> <li><sup>2</sup>National Space Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark</li> </ul> <p><strong>Hydrol. Earth Syst. Sci.</strong></p> <p><strong>https://doi.org/10.5194/hess-2017-625</strong></p> <p> </p> <p>The dataset contains</p> <p>-data/observations that were used to obtain the figures shown in the paper. Data have .mat extension (Binary data container format used by MATLAB; may include arrays, variables, functions, and other types of data;)</p> <p>-scripts to compute statistics and plot data, with .m extension (contain MATLAB code, either in the form of a script or a function)</p> <p>-shape files (shp — shape format; the feature geometry itself, .shx — shape index format, .dbf — attribute format, .prj — projection format; .sbn and .sbx — spatial index of the features, .cpg — used to specify the code page, .<em>qpj</em> QGIS projection file) or raster files (.geotiff) to reproduce the map contents reported in the referenced paper.</p> <p>The repository is subdivided into directories containing the dataset shown in the paper. These directories are named with the figures and/or tables numbers of the referenced paper. </p>
China's transboundary water resources estimation using machine learning approaches
<p>China's transboundary water resources estimated using machine learning models (random forest, gradient boosting, and stacking).</p>
Data used in Quantifying the impact of uncertainty in the dispersion coefficient on water quality modelling in rivers
<p>Hydraulic and tracer data used in the Chillan case study presented in "Data used in Quantifying the impact of uncertainty in the dispersion coefficient on water quality modelling in rivers"</p>
Figure 2 in Investigation of GH and GHR Alu I gene polymorphisms on meat yields in Anatolian water buffalo breed using PCR-RFLP method
Figure 2. Enzyme digestion results of exons 4 and 5 of the GH gene (M: 50-bp DNA ladder; 1–5 and 7: LL genotype, 6: LV genotype).
Figure 4 in Investigation of GH and GHR Alu I gene polymorphisms on meat yields in Anatolian water buffalo breed using PCR-RFLP method
Figure 4. Enzyme digestion results of the exon 10 region of the GHR gene (M: 50-bp DNA ladder, A: AG genotype, B: AA genotype).
Figure 1 in Impact of Drought and Land - Use Changes on Surface - Water Quality and Quantity: The Sahelian Paradox
Figure 1. - Location of the sampling site (star) of flying gurnard Dactylopterus volitans in the Eastern English Channel.
Figure 3 in Impact of Drought and Land - Use Changes on Surface - Water Quality and Quantity: The Sahelian Paradox
Figure 3. - Specimen of flying gurnard Dactylopterus volitans (MNHN 2013-0612; 47 cm TL) caught in the Eastern English Channel in 2011.
Figure 2 in Impact of Drought and Land - Use Changes on Surface - Water Quality and Quantity: The Sahelian Paradox
Figure 2. - Whole otolith of flying gurnard (Dactylopterus volitans) with annotation of growth rings (red stars).
FIGURE 3 in Water column use by reef fishes of different color patterns
FIGURE 3 | Coloration of reef fish species by their position in the water column (benthic, n = 35; demersal, n = 35; pelagic, n = 30). Homogeneous refers to the presence of a moderately homogenous non-silvering color pattern without large contrasting patches (typical of background matching); patches refer to the presence of contrasting contour breaks patches (typical of disruptive coloration); stripes refer to the presence of highly contrasting regular stripes (e.g., black and white stripes, typical of motion-dazzle strategy), and silvering to fishes with silvery homogenous body coloration.
FIGURE 2 in Water column use by reef fishes of different color patterns
FIGURE 2 | Phylogeny of the 100 species used in this study generated from data in the Open Tree of Life. Branch lengths represent phylogenetic distance and were estimated by the Grafen's method. Color bars denote the water column use (blue shades) and coloration pattern (red shades) we attributed to them.
FIGURE 4 in Water column use by reef fishes of different color patterns
FIGURE 4 | Results of the Bayesian statistical analysis showing the difference in the proportion of coloration types between positions in the water column. Points denote the mode; thick and thin lines denote 67% and 95% credible intervals. Comparisons based on the expected values of the posterior predictive distribution. The analysis indicated that presence of contrasting contour breaks patches is more frequent in benthic than in demersal and pelagic species; and that silvering is more frequent in pelagic species than in demersal and benthic species.
FIGURE 1 in Water column use by reef fishes of different color patterns
FIGURE 1 | Species exemplifying the color patterns used in this study. A. Large contrasting patterns typical of disruptive coloration in Hippocampus reidi (~ 13 cm of total length, TL); B. Silvery bodies in Haemulon aurolineatum Cuvier, 1830 (~ 18 cm TL); C. Contrasting stripes typical of motion-dazzle in Elacatinus figaro Sazima, Moura & Rosa, 1997 (~ 3 cm TL); D. Homogeneous coloration in adult female Parablennius pilicornis (Cuvier, 1829) (~ 6 cm TL). Photographs by Gualter Pedrini.
Dataset used in "Ocean floor imaging with Distributed Acoustic Sensing and water phases reverberations" by Spica et al. in Geophysical Research Letters
<p>earthquake #1<br> earthquake #2</p>
Fig. 7 in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 7. Activity Index showing proportion of each behavioural activity (foraging; socialising; traveling; resting) per sector.
Fig. 8 in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 8. Monthly (N=25) and yearly (N=8) sighting rate (please see Material and Methods) for 19 identified Irrawaddy dolphins from Bago-Pulupandan (includes entire period of the sightings of these identified dolphins).
Fig. 3 in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 3. Discovery curve of marked individual dolphins in the study area over 25 survey months from 2010 to 2016.
Fig. 1 in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 1. Coastal waters of Bago City and the Municipality of Pulupandan in Guimaras Strait; Left inset: location of Western Visayas Region in the Philippines; Right inset: Guimaras Strait located between Negros Island and Guimaras Island.
Fig. 4. A in Habitat use and site fidelity of Irrawaddy dolphins (Orcaella brevirostris) in the coastal waters of Bago-Pulupandan, Negros Occidental, Philippines
Fig. 4. A, sightings of Irrawaddy dolphins (in yellow dots) relative to sectors; B, minimum convex polygon (MCP) of all sightings in Bago-Pulupandan coastal waters.
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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
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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.