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446 results for “water bodies”
Fig. 1 in Fishes Of The Genus Ameiurus (Ictaluridae, Siluriformes) In The Transcarpathian Water Bodies
Fig. 1. Fishes of the Genus Ameiurus: а — A. nebulosus, b — A. melas (photo by O. Yu. Zhaporozhets).
GLOBMAP SWF: a global annual surface water cover frequency dataset since 2000 for change analysis of inland water bodies
<p>The extent of surface water has been changing significantly due to climatic change and human activities. However, it is challenging to capture the interannual changes and trends of inland water bodies due to their high seasonal variation and abrupt change. We generated a global annual surface water cover frequency dataset (GLOBMAP SWF) from the MODIS land surface reflectance products to describe the seasonal and interannual dynamics of surface water. Surface water cover frequency (SWF) was proposed as the percentage of the time period when a pixel is covered by water in a year. Instead of determination of the water observations directly, the SWF was estimated indirectly by identifying land observations among annual clear-sky observations to reduce the influence of clouds and variability of water body and surface background characteristics, which helps to improve the applicability of the algorithm for different regions across the globe. Regional analysis demonstrates that our estimation results show reasonable performances on frozen water, saline lake, bright surface and cloud-frequent regions. This dataset can be used to analyze the interannual variation and change trend of highly dynamic inland water body extent with consideration of its seasonal variation.</p> <p>The GLOBMAP SWF dataset is provided in Version 1.0 (https://zenodo.org/record/6462883#.YxC16HZBw2w). Here we provide the number of MOD09A1 (MODIS 8-day composite land surface reflectance) clear-sky snow/ice-free observations (<em>N<sub>Clear</sub></em>) data as a quality dataset of GLOBMAP SWF product. The clear-sky observation refers to the valid MOD09A1 observation that not covered with clouds and snow/ice. The more available clear-sky observations, the more reliable the estimated SWF.</p> <p>The <em>N<sub>Clear </sub></em>dataset is provided by 296 1200 km × 1200 km tiles at annual temporal and 500 m spatial resolutions in the sinusoidal projection with Geotiff format for each year during 2000-2020. The file is named as "GLOBMAPClearCount. AYYYY001.hHHvVV.V01.tif", where “YYYY” refers to the year of the file, and “HH” and “VV” explains the number of tiles that are the same with MODIS standard tile. The valid range is 0-46, scale factor is 1.0. The <em>N<sub>Clear </sub></em>of permanent water (land obervation count of 46), permanent snow/ice and terrain shadows are set to 50.</p>
Рис. 4. Частота встречаемости водных брюхоногих моллюсков Калининградской области (%). Fig. 4. The occurrence frequency of gastropods of Kaliningrad Region (%). in Spatial distribution of gastropods (Mollusca: Gastropoda) from the Kaliningrad Region (Russia) water bodies
Рис. 4. Частота встречаемости водных брюхоногих моллюсков Калининградской области (%). Fig. 4. The occurrence frequency of gastropods of Kaliningrad Region (%).
Рис. 1. Обзорная схема распоΛожения обсΛеΔованных воΔных объектов системы СреΔнего Енисея. Номера воΔных объектов привеΔены в соответствии с табΛицей 1 Fig. 1. The location scheme of the examined water bodies of the Middle Yenisei system. The water bodies are numbered in accordance with Table 1 in Extension Of The Range Of Amur Sleeper Dybowski, 1877 (Perciformes: Odontobutidae) In The Yenisei River System
Рис. 1. Обзорная схема распоΛожения обсΛеΔованных воΔных объектов системы СреΔнего Енисея. Номера воΔных объектов привеΔены в соответствии с табΛицей 1 Fig. 1. The location scheme of the examined water bodies of the Middle Yenisei system. The water bodies are numbered in accordance with Table 1
Figure 6.- Parahololepidella greeffi. Syntype ZMH 5692. A. Anterior end, dorsal view. B. Neurochaetae from anterior region, showing damaged tips. C. Notochaetae. D. Dissected parapodia from mid-body. E in New symbiotic associations involving polynoids (Polychaeta, Polynoidae) from Atlantic waters, with redescriptions of Parahololepidella greeffi (Augener, 1918) and Gorgoniapolynoe caeciliae (Fauvel, 1913)
Figure 6.- Parahololepidella greeffi. Syntype ZMH 5692. A. Anterior end, dorsal view. B. Neurochaetae from anterior region, showing damaged tips. C. Notochaetae. D. Dissected parapodia from mid-body. E. Neurochaetae of the same (black arrow pointing at the apparently bidentate chaetae). F. Notochaetae of the same. B, C, E, F: scale bar 125 µm.
HLWATER V1.0 Optical (water bodies Sentinel-2 TOA reflectance retrievals for 23/08/2019) - Western Nunavik (Subarctic Canada)
<p>This dataset refers to the retrieval of TOA reflectance from the Sentinel-2 L1C 10-m bands for 23/08/2019, having as reference the <a href="https://doi.org/10.5281/zenodo.12196313">Very High Resolution water body delineation dataset</a> computed with the <a href="https://doi.org/10.5281/zenodo.10203553">HLWATER V1.0 model</a> (<a href="https://doi.org/10.1016/j.rse.2024.114047">Freitas et al., 2024</a>) for Western Nunavik (Eastern Hudson Bay), Subarctic Canada. It covers a total area of 41,832 km2 within the latitudes 54° to 58° N and the longitudes 74° to 78° W.</p> <p>The dataset is composed of 167,755 water body reflectance retrievals. Additionally, 1 km2 hexagonal grids are provided with the calculation of the limnodiversity (diversity of water optical groups/colors). The optical groups were automatically defined using K-Means to 11 clusters, according to the highest Pseudo-F Score. Outputs are provided in shapefile and geodatabase formats.</p> <p>The manuscript detailing these outputs has been submitted to GIScience and Remote Sensing.</p>
Figure 5 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 5. Overall zebra mussel establishment risk categorization of 133 Texas water bodies based on calcium, pH, salinity, and temperature. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent. The Whittier et. al. low calcium/low risk zone delineation is shown to demonstrate level of agreement with that study, which is relatively high with some noteworthy exceptions. The Cypress, Sabine, and Neches River basins referenced in the text are the three East Texas basins with predominantly minimal risk water body categorizations.
Figure 2 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 2. pH-based zebra mussel establishment risk categorization of 133 Texas water bodies. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent.
Figure 4 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 4. Temperature-based zebra mussel establishment risk categorization of 126 Texas water bodies. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent.
Figure 3 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 3. Salinity-based zebra mussel establishment risk categorization of 133 Texas water bodies. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent.
Figure 1 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 1. Calcium-based zebra mussel establishment risk categorization of 85 Texas water bodies. Areas to the east of the Whittier et al. (2008) calcium risk delineation were predicted by that study to have ≤ 12 mg/l calcium (i.e., minimal establishment risk); this delineation is shown to demonstrate level of agreement with that study. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent. The Cypress, Sabine, and Neches River basins referenced in the text are the three East Texas basins with predominantly minimal risk water body categorizations.
Fig 5 in Species Diversity Of Wetland Birds, Depending On Area, Overgrowth Of Water Bodies On The Example Of Sovskie Ponds (Ukraine)
Fig 5. Percentage of species under conditions of overgrowth of a reservoir with macrophytes, a - 5% overgrowth, b - 90% overgrowth, c - 45% overgrowth, d - 55% overgrowth, e - 65% overgrowth.
Fig. 3 in Parasitofauna Of Perccottus Glenii Dybowski, 1877 (Osteichthyes, Odontobutidae) In Water Bodies Of The Southern Part Of Latgale (Latvia)
Fig. 3. Trichodina spp. from Amur sleeper gills (pond of Līksna) with 600x magnification, Nikon eclipse 90i (original foto).
Fig. 2 in Parasitofauna Of Perccottus Glenii Dybowski, 1877 (Osteichthyes, Odontobutidae) In Water Bodies Of The Southern Part Of Latgale (Latvia)
Fig. 2. The attachment apparatus and copulatory organ of Ancyrocephalus cruciatus from Amur sleeper (pond of Jersika) with 600x magnification, Nikon eclipse 90i (original photo).
Рис. 4. Фотографии Parasphaerolaimus minor sp. nov., гоΛотип самца (А–Г, Е, Ж), паратип самца (Á, З). А — общий виΑ; Б — переΑний конец теΛа; В, Г, Á — гоΛова; Е, Ж — теΛо в обΛасти кΛоаки; З — заΑний конец теΛа. Масштаб: А — 100 μm; Б, З — 20 μm; Á, Ж — 10 μm; В, Г, Е — 5 μm Fig. 4. Light micrograph Parasphaerolaimus minor sp. nov., male holotype (А–Г, Е, Ж), male paratype (Á, З). А — general view; Б — anterior view; В, Г, Á — head; Е, Ж — cloaca area; З — posterior view. Scale: А — 100 μm; Б, З — 20 μm; Á, Ж — 10 μm; В, Г, Е — 5 μm in Two New Species Of The Genus Ditlevsen, 1918 (Nematoda, Monhysterida) From Water Bodies Of Northern Vietnam
Рис. 4. Фотографии Parasphaerolaimus minor sp. nov., гоΛотип самца (А–Г, Е, Ж), паратип самца (Á, З). А — общий виΑ; Б — переΑний конец теΛа; В, Г, Á — гоΛова; Е, Ж — теΛо в обΛасти кΛоаки; З — заΑний конец теΛа. Масштаб: А — 100 μm; Б, З — 20 μm; Á, Ж — 10 μm; В, Г, Е — 5 μm Fig. 4. Light micrograph Parasphaerolaimus minor sp. nov., male holotype (А–Г, Е, Ж), male paratype (Á, З). А — general view; Б — anterior view; В, Г, Á — head; Е, Ж — cloaca area; З — posterior view. Scale: А — 100 μm; Б, З — 20 μm; Á, Ж — 10 μm; В, Г, Е — 5 μm
Рис. 3. Parasphaerolaimus minor sp. nov., cамец. А — общий виΑ; Б — переΑний конец теΛа; В — заΑний конец теΛа. Масштаб: А — 75 мкм; Б, В — 30 мкм Fig. 3. Parasphaerolaimus minor sp. nov., male. А — general view; Б — anterior view; В — posterior view. Scale: А — 75 μm Б, В — 30 μm in Two New Species Of The Genus Ditlevsen, 1918 (Nematoda, Monhysterida) From Water Bodies Of Northern Vietnam
Рис. 3. Parasphaerolaimus minor sp. nov., cамец. А — общий виΑ; Б — переΑний конец теΛа; В — заΑний конец теΛа. Масштаб: А — 75 мкм; Б, В — 30 мкм Fig. 3. Parasphaerolaimus minor sp. nov., male. А — general view; Б — anterior view; В — posterior view. Scale: А — 75 μm Б, В — 30 μm
Рис. 2. Фотографии Parasphaerolaimus tropicus sp. nоv., гоΛотип самца (А, Б, В, Á), паратип самца (Г, Е). А — общий виΑ; Б — переΑний конец теΛа; В, Г — гоΛова; Á, Е — заΑний конец теΛа. Масштаб: А — 200 мкм; Б, Á, Е — 50 мкм; В, Г — 20 мкм Fig. 2. Light micrograph Parasphaerolaimus tropicus sp. nоv., male holotype (А, Б, В, Á), male paratype (Г, Е). А — general view; Б — anterior view; В, Г — head; Á, Е — posterior view. Scale: А — 200 μm; Б, Á, Е — 50 μm; В, Г — 20 μm in Two New Species Of The Genus Ditlevsen, 1918 (Nematoda, Monhysterida) From Water Bodies Of Northern Vietnam
Рис. 2. Фотографии Parasphaerolaimus tropicus sp. nоv., гоΛотип самца (А, Б, В, Á), паратип самца (Г, Е). А — общий виΑ; Б — переΑний конец теΛа; В, Г — гоΛова; Á, Е — заΑний конец теΛа. Масштаб: А — 200 мкм; Б, Á, Е — 50 мкм; В, Г — 20 мкм Fig. 2. Light micrograph Parasphaerolaimus tropicus sp. nоv., male holotype (А, Б, В, Á), male paratype (Г, Е). А — general view; Б — anterior view; В, Г — head; Á, Е — posterior view. Scale: А — 200 μm; Б, Á, Е — 50 μm; В, Г — 20 μm
Рис. 1. Parasphaerolaimus tropicus sp. nov., самец. А — общий виΑ; Б — переΑний конец теΛа; В — заΑний конец теΛа. Масштаб: А — 150 мкм; Б, В — 50 мкм Fig. 1. Parasphaerolaimus tropicus sp. nov., male. А — general view; Б — anterior body end; В — posterior body end. Scale bars: А — 150 μm; Б, В — 50 μm in Two New Species Of The Genus Ditlevsen, 1918 (Nematoda, Monhysterida) From Water Bodies Of Northern Vietnam
Рис. 1. Parasphaerolaimus tropicus sp. nov., самец. А — общий виΑ; Б — переΑний конец теΛа; В — заΑний конец теΛа. Масштаб: А — 150 мкм; Б, В — 50 мкм Fig. 1. Parasphaerolaimus tropicus sp. nov., male. А — general view; Б — anterior body end; В — posterior body end. Scale bars: А — 150 μm; Б, В — 50 μm
Figure 15 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 15. The variation of the Pianka mean niche overlap index deviation from random alternative within principal components 3 and 4. Spawning start: B_bjoerkna – Blicca bjoerkna, C_gibelio – Carassius gibelio, S_erythrophthalmus – Scardinius erythrophthalmus, A_brama – Abramis brama, P_fluviatilis – Perca fluviatilis, R_rutilus – Rutilus rutilus, E_lucius – Esox lucius; regression residuals of the spawning end dependence from the start: B_delta – Blicca bjoerkna, C_delta – Carassius gibelio, S_delta – Scardinius erythrophthalmus, A_delta – Abramis brama, P_delta – Perca fluviatilis, R_delta – Rutilus rutilus, E_delta – Esox lucius.
Figure 12 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 12. Spawning variance partitioning between broad-, medium-, and fine-scale temporal temperature patterns and biotope type explanatory variables. Notes: [a] – variation explained solely by broad temperature variables; [b] – variation explained solely by medium temperature variables; [c] – variation explained solely by fine temperature variables; [d] – variation explained solely by biotope type. The intersection of the ellipses corresponds to the variations explained by the respective sources together All the variance fractions shown are significant (p <0.001).
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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.
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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.
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