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446 results for “water bodies”
Figure 14 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 14. Relative variance of the principal components (in %). Method: ANOVA Method, Type I SS, columns denote cumulative sums of variance components.
Figure 13 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 13. The temporal variation of the principal components 1–5. the x-axis – years, the y-axis – the scores of the principal components 1–5.
Figure 10 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 10. Distribution histograms of the Pianka mean niche overlap indexes in different types of habitats: 1 – Nikolayev system of water bodies; 2 – river Protoch system and Obukhov floodplain; 3 – the channel of the river Dnipro; 4 – water bodies of the Taromske ledge.
Figure 4 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 4. Scalogram illustrating the scaling of temporally structured variation in polynomial trend residuals data. The abscissa axis – dbMEMs ordered decreasingly according to the scale of temporal patterns they represent (dbMEM 1 represents the broadest scale, dbMEM 104 the finest scale). The ordinate axis – value of R2 is the variation explained adj by individual dbMEM variables.
Figure 5. Broad-scale components RDA 1-3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 5. Broad-scale components RDA 1-3 of the annual temperature variation. Black line – the original data, colored lines – smoothed data. The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year
Рис. 4. Фотографии Theristus securus sp. nov., гоΛотип самца (a, c, d, e, h, j) и паратип самки (b, f, g, i). a, b — общий виΔ; c — переΔний конец теΛа; d, e, f — гоΛова; g — теΛо в обΛасти вуΛьвы; h, i — заΔний конец теΛа; j — терминус хвоста. Масштаб: a, b — 100 мкм; c, h, i — 50 мкм; g — 20 мкм; d, e, f, j — 10 мкм Fig. 4. Light micrograph of Theristus securus sp. nov, male holotype (a, c, d, e, h, i) and female paratype (b, f, g, i). a, b — general view; c — anterior body end; d, e, f — head; g — vulvar region; h, i — posterior body end; j — tail terminus. Scale bars: a, b — 100 μm; c, h, i — 50 m; g — 20 m; d, e, f, j – 10 μm in Two New Species Of The Family Xyalidae Chitwood, 1951 (Nematoda, Monhysterida) From The Water Bodies Of Vietnam
Рис. 4. Фотографии Theristus securus sp. nov., гоΛотип самца (a, c, d, e, h, j) и паратип самки (b, f, g, i). a, b — общий виΔ; c — переΔний конец теΛа; d, e, f — гоΛова; g — теΛо в обΛасти вуΛьвы; h, i — заΔний конец теΛа; j — терминус хвоста. Масштаб: a, b — 100 мкм; c, h, i — 50 мкм; g — 20 мкм; d, e, f, j — 10 мкм Fig. 4. Light micrograph of Theristus securus sp. nov, male holotype (a, c, d, e, h, i) and female paratype (b, f, g, i). a, b — general view; c — anterior body end; d, e, f — head; g — vulvar region; h, i — posterior body end; j — tail terminus. Scale bars: a, b — 100 μm; c, h, i — 50 m; g — 20 m; d, e, f, j – 10 μm
Рис. 1. Metadesmolaimus longicaudatus sp. nоv., гоΛотип самца (a, c, d, e), паратип самки (b). a, b — общий виΔ; c — гоΛова; e — спикуΛа и руΛек; d — заΔний конец теΛа. Масштаб: a, b — 100 мкм; d — 80 мкм; c — 15 мкм; e — 10 мкм Fig. 1. Metadesmolaimus longicaudatus sp. nоv., male holotype (a, c, d, e) and female paratype (b). a, b — general view; c — head; e — spicule and gubernaculum; d — posterior body end. Scale bars: a, b — 100 µm; d — 80 µm; c — 15 µm; e — 10 µm in Two New Species Of The Family Xyalidae Chitwood, 1951 (Nematoda, Monhysterida) From The Water Bodies Of Vietnam
Рис. 1. Metadesmolaimus longicaudatus sp. nоv., гоΛотип самца (a, c, d, e), паратип самки (b). a, b — общий виΔ; c — гоΛова; e — спикуΛа и руΛек; d — заΔний конец теΛа. Масштаб: a, b — 100 мкм; d — 80 мкм; c — 15 мкм; e — 10 мкм Fig. 1. Metadesmolaimus longicaudatus sp. nоv., male holotype (a, c, d, e) and female paratype (b). a, b — general view; c — head; e — spicule and gubernaculum; d — posterior body end. Scale bars: a, b — 100 µm; d — 80 µm; c — 15 µm; e — 10 µm
Fig. 2 in Not only pond sliders: freshwater turtles in the water bodies of the Milan northern urban area (Italy)
Fig. 2 - Distribution maps of the species found in the study area. Circled letters: species records; when the position is approximated, the circle is dashed. P. subrufa records are omitted because the species was recovered far from the wetlands; also T. scripta is not shown, because the species was excluded from the study. Letters indicate the wetlands as in Fig. 1 (modified from https://d-maps.com/ and GeoPortale Regione Lombardia). / Mappa di distribuzione delle specie rinvenute nell'area di studio. Lettera cerchiata: specie presente; quando la posizione è approssimativa, il cerchio è tratteggiato. Il dato per P. subrufa è omesso in quanto la specie è stata rinvenuta lontano dalle zone umide; la distribuzione di T. scripta non è indicata poiché la specie non è oggetto del presente studio. Le aree umide sono indicate da lettere secondo la nomenclatura usata in Fig. 1 (modificato da https://d-maps.com/ e GeoPortale Regione Lombardia).
Fig. 1 in Not only pond sliders: freshwater turtles in the water bodies of the Milan northern urban area (Italy)
Fig. 1 - Study area (Lombardy region, Northern Italy). Letters indicate each studied wetland (modified from www.d-maps.com and GeoPortale Regione Lombardia). / Area di studio (Lombardia, Italia Settentrionale). Ogni lettera identifica un'area umida indagata (modificato da https://d-maps.com/ e GeoPortale Regione Lombardia).
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>
Figure 6 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 6. Dendrogram of cluster analysis of the species composition in SH (see the abbreviations in Section 2).
Figure 2 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 2. Relative share of FFGs (%) in the mountain stations of the studied river basins (see the abbreviations in Section 2).
Figure 8 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 8. Ordination diagram (CCA analysis) of the distribution of studied benthic communities along the gradient of environmental factors (see the abbreviations in Section 2).
Figure 3 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 3. Relative share of FFGs (%) in the foothill stations of the studied river basins (see the abbreviations in Section 2).
Figure 4 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 4. Relative share of FFGs (%) in the plain stations of the studied river basins (see the abbreviations in Section 2).
Figure 5 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 5. Similarity of species composition of the FFGs between studied sites (MDS plot) (the numbers correspond to the surveyed stations as described in Section 2).
Figure 7 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 7. Dendrogram of cluster analysis of the species composition in DF (see the abbreviations in Section 2).
Figure 3b in Species diversity and community structure of zooplankton in three different types of water body within the Sakarya River Basin, Turkey
Figure 3b. CCA biplot diagram with three lakes (all seasons and stations) and 81 species (Rot: Rotifera, Cla: Cladocera, Cop: Copepoda, species abbreviations are listed in Table 2).
Figure 1 in Species diversity and community structure of zooplankton in three different types of water body within the Sakarya River Basin, Turkey
Figure 1. Species richness, evenness, and diversity boxplots in each lake. The horizontal thick black band represents the median value, and the boxplot margins indicate first and third quartiles.
Figure 2 in Species diversity and community structure of zooplankton in three different types of water body within the Sakarya River Basin, Turkey
Figure 2. nMDS plots between lakes in terms of zooplankton species composition and abundance (a: all zooplankton species, b: rotifers, c: cladocerans.), Triangle: Lake Poyrazlar, Square: Çubuk II Reservoir, Circle: Sorgun Pond.
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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
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.