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446 results for “Water body”
Figure 3a in Species diversity and community structure of zooplankton in three different types of water body within the Sakarya River Basin, Turkey
Figure 3a. CCA biplot diagram with three lakes (all seasons and stations), and eight environmental variables. For sample abbreviations, first letter indicates water body; s: Sorgun, p: Poyrazlar, c: Çubuk II; letters between 2 and 4 indicate the seasons: spr: spring, sum: summer, win: winter; numerical variables indicate sampling stations.
Figure 1 in Invasion of Corbicula fluminea (Müller, 1774) (Bivalvia: Corbiculidae) in water bodies from the East Aegean River Basin in Bulgaria
Figure 1. Map with the location of the sampling sites and an overall view of some of them (№ of pictures and sampling sites as in Tab. 1).
Figure 1 in Book Review: Small Water Bodies of the Western Balkans Vladimir Pešić, Djuradj Milošević & Marko Miliša (Editors),
Figure 1. Cover page of the book "Small Water Bodies of the Western Balkans" (Springer Water, 2022).
Fig. 2 in Spatial distribution of gastropods (Mollusca: Gastropoda) from the Kaliningrad Region (Russia) water bodies
Fig. 2. Freshwater habitats types of Gastropoda species of Kaliningrad Region classified by main ecological factors. Stagnant permanent freshwater bodies (sites of rich thanatocoenosis with rare mollusk's species): A – Melnichny Pond (Kaliningrad); Б – Polessky Canal (Krasnoe settlement); В – Western Canal (Zalivnoye settlement, Curonian Lagoon); Г – the mouth of the Guryevka River (Zalivnoye settlement, Curonian Lagoon); temporary water bodies and bogs (sites of rare Gastropoda species): Д – bogged polder near the shoreline of the Curonian Lagoon, Zalivnoye settlement (mouth of the Western Canal) where Bathyomphalus contortus (L., 1758) lives; E – ditch on the pasture of the Zalivnoye settlement populated by Omphiscola glabra (Müller, 1774) (in puddles); Ж – wet meadow swamp in the Polessk Town (near Slepenkov Str., «Veterinary Clinic», biotope was destroyed in 2014); З – a large bomb crater on the pasture of the Rybachiy Village (Curonian Spit) inhabited by Anisus sp.; watercourses with intensive currents are the main habitats of Ancylus fluviatilis Müller, 1774: И –«Ledyanaya» River above the Devil Bridge («Chortov most», «Berlinka», pre-war highway); К – Kornevka River above Vysokoje Village (mouth of a secondary stream); Л – Krasnaja River (Rominta, Tokarevka settlement, depth about 0.2–0.3 m, boulders river ground); М – Angerapp River (Ozersk Town, near stadium); intertidal zone (Curonian Lagoon): H, O – Zalivnoye settlement on the southern coastline of the Curonian Lagoon near the mouth of Western Canal; П – mouth of the Deima River (Zalivino settlement), eroded floodplain deposits of peat.
Linked collectors and determiners for: The occurrence, distribution and biology of invasive fish species in fresh and brackish water bodies of NE Morocco.
Natural history specimen data linked to collectors and determiners held within, "The occurrence, distribution and biology of invasive fish species in fresh and brackish water bodies of NE Morocco". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/55347db9-46a3-449d-8e55-ba6ed02e4820">https://bionomia.net/dataset/55347db9-46a3-449d-8e55-ba6ed02e4820</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/55347db9-46a3-449d-8e55-ba6ed02e4820">https://gbif.org/dataset/55347db9-46a3-449d-8e55-ba6ed02e4820</a>. Formatted as a Frictionless Data package.
Fig. 3 in Water level influences on body condition of Geophagus brasiliensis (Perciformes: Cichlidae) in a Brazilian oligotrophic reservoir
Fig. 3. Means and standard error (vertical lines) for gonadosomatic index (GSI) by sex and size classes for Geophagus brasiliensis in the Lajes Reservoir. Between-sex significant differences: * p <0.05; ** p <0.01.
Fig. 2 in Water level influences on body condition of Geophagus brasiliensis (Perciformes: Cichlidae) in a Brazilian oligotrophic reservoir
Fig. 2. Means and standard errors (vertical lines) for body condition (K) by sex and water level periods for Geophagus brasiliensis in the Lajes Reservoir. Distinct letters (a, b, c) indicate significant differences at 95% level of confidence.
Exposure to exogenous egg cortisol does not rescue juvenile Chinook salmon body size, condition, or survival from the effects of elevated water temperatures
<p class="NormalThesis">Climate change is leading to altered temperature regimes which are impacting aquatic life, particularly for ectothermic fish. The impacts of environmental stress can be translated across generations through maternally-derived glucocorticoids, leading to altered offspring phenotypes. Although these maternal stress effects are often considered negative, recent studies suggest this maternal stress signal may prepare offspring for a similarly stressful environment (environmental match). We applied the environmental match hypothesis to examine whether a prenatal stress signal can dampen the effects of elevated water temperatures on body size, condition, and survival during early development in Chinook salmon <i>Oncorhynchus tshawytscha</i> from Lake Ontario, Canada. We exposed fertilized eggs to prenatal exogenous egg cortisol (1000ng*mL<sup>-1</sup> cortisol or 0ng*mL<sup>-1</sup> control) and then reared these dosed groups at temperatures indicative of current (+0°C) and future (+3°C) temperature conditions. Offspring reared in elevated temperatures were smaller and had a lower survival at the hatchling developmental stage. Overall, we found that our exogenous cortisol dose did not dampen effects of elevated rearing temperatures (environmental match) on body size or early survival. Instead, our eyed stage survival indicates that our prenatal cortisol dose may be detrimental, as cortisol-dosed offspring raised in elevated temperatures had lower survival than cortisol-dosed and control reared in current temperatures. Our results suggest that a maternal stress signal may not be able to ameliorate the effects of thermal stress during early development. However, we highlight the importance of interpreting the fitness impacts of maternal stress within an environmentally relevant context.</p>
Differential utilization of surface and arboreal water bodies by birds and mammals in a seasonally dry Neotropical forest in southern Mexico
<p>Water availability significantly influences bird and mammal ecology in terrestrial ecosystems. However, our understanding of the role of water as a limiting resource for birds and mammals remains partial because most of the studies have focused on surface water bodies of desert and semi-desert ecosystems. This study assessed the use of two types of surface water bodies (waterholes and epikarst rock pools) and one arboreal (water-filled tree holes) by birds and mammals in the seasonally dry tropical forests of the Calakmul Biosphere Reserve in southern Mexico. We deployed camera traps in 23 waterholes, 22 rock pools, and 19 water-filled tree holes in this karstic region to record visits by small, medium, and large-bodied birds and mammals during the dry and rainy seasons. These cameras were set up to record videos documenting when animals were making use of water for drinking, bathing, or both. We compared the species diversity and composition of bird and mammal assemblages using the different types of water bodies by calculating Hill numbers and conducting non-metric multidimensional scaling (NMDS), indicator species, and contingency table analyses. There was a greater species richness of birds and mammals using surface water bodies than tree holes during both seasons. There were significant differences in species composition among bird assemblages using the different water bodies, but dominant species and diversity remained the same. Terrestrial and larger mammalian species preferentially used surface water bodies whereas arboreal and scansorial small and medium mammals were more common in arboreal water bodies. These findings suggest that differences in water body characteristics might favor segregation in mammal activity. The different water bodies may act as alternative water sources for birds and complementary sources for mammals, potentially favoring species coexistence and increasing community resilience to environmental variation (e.g., fluctuation in water availability). Understanding how differences in water bodies favor species coexistence and community resilience is of great relevance from a basic ecological perspective but is also crucial for anticipating the effects that the increased demand for water by humans and climate change can have on wildlife viability.</p>
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method
<p>We design a tunnel electromagnetic joint scan observation system and present a deep learning-based parametric inversion for improved tunnel electromagnetic imaging, designed specifically for tunnel prediction of water filled structures. It utilizes a configuration wherein transmitters scan along the surface while receivers are positioned within the tunnel, employing time-domain and frequency-domain transmitters and a multi-component receiver. The DL model for the first time provides parametric imaging of two different view, forming a self-checking mechanism, which can help constrain the predictions and reduce the non-uniqueness of the inversion. Trained by synthetic data, our system shows impressive adaptability to predict the 3D spatial position of water-filled anomalies and strong robustness in the tunnel environment with metal interference.</p> <p> </p> <p>Before prediction, you need to download the pre-trained weight model which contain UNet_model/FTEM.ckpt.data-00000-of-00001, UNet_model/FTEM.ckpt.index, UNet_model/FTEM.h5. Then place the directory containing the weight model in the same directory as the prediction code. Then run: python predi.py</p>
Fig. 1 in Diversity And Distribution Of Naked Amoebae In Water Bodies Of Sumy Region (Ukraine)
Fig. 1. Sampling localities (Sumy Region, Ukraine).
Fig. 2 in Breeding Potential Of Adventitious Species Of Carassius Auratus And Carassius Gibelio (Cypriniformes, Cyprinidae) In Water Bodies Of Ukraine
Fig. 2. Percentage ratio of hard roe and body weight of C. auratus and C. gibelio females.
Fig. 1 in Naked Lobose Amoebae Of The Genus Mayorella (Amoebozoa, Discosea, Dermamoebida) In Ukrainian Water Bodies
Fig. 1. Sampling localities (Ukraine).
Fig. 2 in Naked Lobose Amoebae Of The Genus Mayorella (Amoebozoa, Discosea, Dermamoebida) In Ukrainian Water Bodies
Fig. 2. Naked amoeba of the
Fig. 1 in Symbiont Fauna Of Freshwater Zooplankton In Several Water Bodies Of The Dnipro River Basin
Fig. 1. Symbionts of fresh-water zooplankton: A — abdomen with zoo-
Fig. 2 in Fishes Of The Genus Ameiurus (Ictaluridae, Siluriformes) In The Transcarpathian Water Bodies
Fig. 2. Present distribution of species of the genus Ameiurus in Transcarpathia waters.
Cutaneous Evaporative Water Loss in Lizards is Variable across Body Regions and Plastic in Response to Humidity
<p>Data and code associated with the 2022 publication in Herpetologica (doi:10.1655/Herpetologica-D-21-00030.1).</p>
Fig. 1 in Breeding Potential Of Adventitious Species Of Carassius Auratus And Carassius Gibelio (Cypriniformes, Cyprinidae) In Water Bodies Of Ukraine
Fig. 1. Individual fecundity of C. auratus and C. gibelio females in age groups.
Water, acetonitrile, and methanol MD simulations driven by many-body ML potentials
<p>Input, output, and trajectories of molecular dynamics (MD) simulations of water, acetonitrile, and methanol. Simulations were driven by many-body machine learning (mbML) potentials including explicit 1-, 2-, and 3-body contributions. <a href="https://keithgroup.github.io/mbGDML/">GDML</a>, <a href="https://libatoms.github.io/GAP/">GAP</a>, and <a href="https://schnetpack.readthedocs.io/en/stable/">SchNet</a> models are provided in a <a href="https://doi.org/10.5281/zenodo.7112163">separate repository</a>. All simulations were performed in the <a href="https://wiki.fysik.dtu.dk/ase/">atomic simulation environment (ASE)</a>. Analyses including radial distribution function (rdf) curves are provided <a href="https://github.com/keithgroup/mbgdml-h2o-meoh-mecn">here</a>.</p> <p><strong>Manifest</strong></p> <p>The following simulations are included in this repository for each solvent.</p> <ul> <li>1 ps hexamer NVE MD simulation driven by MP2/def2-TZVP (in ORCA v4.2.0), mbGDML, mbGAP, mbSchNet, and GFN2-xTB started with the same positions and velocities. Velocities were initialized at 298.15 K with a Maxwell-Boltzmann distribution.</li> <li>Periodic NVT MD simulation at 298.15 K for 10 or 30 ps with a 1 fs time step driven by mbGDML. These simulations contained <ul> <li>58 or <strong>137</strong> water molecules,</li> <li><strong>67</strong> or 122 acetonitrile molecules,</li> <li><strong>61</strong> methanol molecules.</li> </ul> </li> </ul> <p>Systems that are not bolded were used for testing purposes.</p>
Data Set "Accurate quantum-chemical fragmentation calculations for ion–water clusters with the density-based many-body expansion"
<p>This data set accompanies the publication "Accurate quantum-chemical fragmentation calculations for ion–water clusters with the density-based many-body expansion"</p> <p>It contains:</p> <p>- xyz files of all considered molecular structures.</p> <p>- PyADF input scripts for running the eb-MBE and db-MBE calculations.</p> <p>- raw results data from the eb-MBE and db-MBE calculations</p> <p>- Jupyter notebooks for generating the plots and tables</p>
ScienceDex guides
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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.