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131 results for “aquatic ecology”

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edi48/100

Sampling sites where ecological indices were used to assess the impact of different environmental stressors in aquatic environments in Argentina

Dataset is a compilation of all sampling sites of articles where ecological indices were used to assess the impact of different environmental stressors in aquatic environments from Argentina. Points of this dataset were extracted from 78 papers published between 1996 and 2018. We selected articles that use ecological indices to analyze some local environmental problematics or stressors. Using the type of index from each article we performed the kml file, which contained the categorized sampling sites by different symbols according to the ecological index: physico-chemical, biological, geomorphological and multimetric. We carried out a map (shapefile) with all the sampling sites referenced to the ecoregions of Argentina proposed by Burkart (1999).

openCC (other)Jul 2019View details →
zenodo44/100

Supplementary file 1 from: Moliner Cachazo L, Makati K, Chadwick MA, Catford JA, Price BW, Mackay AW, Guiry MD, Murray-Hudson M, Murray-Hudson F (2023) A review of the freshwater diversity in the Okavango Delta and Lake Ngami (Botswana): taxonomic composition, ecology, comparison with similar systems and conservation status. Aquatic Sciences

<p>Dataset&nbsp;with 2,204&nbsp;freshwater species from the Okavango Delta and Lake Ngami (Botswana), with additional 355&nbsp;species found in other areas of Botswana that are likely to be present in the study region. The dataset&nbsp;covers the following groups: amphibians, birds, fishes, macroinvertebrates, macrophytes, mammals, reptiles, phytoplankton, and zooplankton. The following information is given for each species: status in the Okavango Delta and Lake Ngami (present/potentially present);&nbsp;conservation status globally,&nbsp;Phylum,&nbsp;Class,&nbsp;Order,&nbsp;Family, Genus, species name, cited synonyms, common name, habitat, presence in high water, presence in low water, ecology, distribution in continental Africa, confirmed locations in the Okavango Delta, site coordinates, references, notes.</p>

opencc-by-4.0May 2023View details →
edi44/100

Ecology and Evolutionary Biology Field Trip at the Coweeta Hydrologic Laboratory (Watershed 18) in 2004: Aquatic Invertebrates (Adult) data

As part of an educational project, we intend to conduct a short "bioblitz" that will focus on 4 major groups of organisms: (1) vertebrates, especially birds and salamanders; (2) the local flora, especially fungi, trees, and any herbaceous species present this early; (3) aquatic invertebrates; (4) terrestrial invertebrates. Data will be compared to available lists of taxa from Coweeta and Great Smoky Mountains National Park.

openCustomJan 2020View details →
dryad40/100

Mitigation of urbanisation effects on aquatic ecosystems by synchronous ecological restoration

<p>Ecosystem degradation and biodiversity loss have been caused by economic booms in developing countries over recent decades. In response, ecosystem restoration projects have been advanced in some countries but the effectiveness of different approaches and indicators at large spatio-temporal scales (i.e., whole catchments) remains poorly understood. Our datasets with a diverse array of 440 aquatic restoration projects including wastewater treatment, constructed wetlands, plant/algae salvage, and dredging of contaminated sediments implemented and maintained from 2007 to 2017 across more than 2000km2 of the northwest Taihu basin (Yixing, China). Synchronized investigations of water quality and invertebrate communities were conducted before and after restoration. Our datasets showed that even though there was rapid urbanization at this time, nutrient concentrations (NH<sub>4</sub><sup>+</sup>-N, TN, TP) and biological indices of benthic invertebrates (taxonomic richness, Shannon diversity, sensitive taxon density) improved significantly across most of the study area. Improvements were associated with the type of restoration project, with projects targeting pollution sources leading to the clearest ecosystem responses compared with those remediating pollution sinks. However, in some locations, the recovery of biotic communities appears to lag behind nutrients (e.g. nitrogen and phosphorus), likely reflecting long-distance re-colonization routes for invertebrates given the level of pre-restoration degradation of the catchment.</p>

opencc-zeroApr 2024View details →
zenodo40/100

Supplementary data for article "Small hydropower – small ecological footprint? A multi-annual environmental impact analysis using aquatic macroinvertebrates as bioindicators. Part 2: effects on functional diversity" by Scotti A., et al.

<p>Supplementary data for article &quot;Small hydropower &ndash; small ecological footprint? A multi-annual environmental impact analysis using aquatic macroinvertebrates as bioindicators. Part 2: effects on functional diversity&quot; by Scotti A., et al.:</p> <p><br> - Trait-based distances calculated for each pair of taxa;</p> <p>- CWM, CWM(LN) values, and their difference (CWMDIFF)</p> <p>Refer to the published articles for further details.</p>

opencc-by-4.0Mar 2022View details →
dryad40/100

Quantifying the ecological impacts of alien aquatic macrophytes: A global meta‐analysis of effects on fish, macroinvertebrate and macrophyte assemblages

<p>Biological invasions constitute a pervasive and growing threat to the biodiversity and functioning of freshwater ecosystems. Macrophytes are key primary producers and ecosystem engineers in freshwaters, meaning that alien macrophyte invasions have the capacity to alter the structure and function of recipient aquatic ecosystems profoundly. Although prevailing wisdom holds that alien macrophyte invasions tend to compromise freshwater ecosystem structure and function, the ecological impacts of alien macrophyte invasion have not been quantitatively reviewed to date.</p> <p>Here we present a global meta-analysis of 202 cases from 53 research articles, exploring the impacts of alien macrophyte invasion on the abundance and diversity of three ubiquitous and ecologically important focal groups, which together comprise the bulk of non-microbial freshwater biodiversity: resident macrophytes, macroinvertebrates and fish. Our synthesis includes data from all continents except Antarctica and Asia, covering 25 alien macrophyte species, but reveals considerable taxonomic and geographical biases in knowledge.</p> <p>Meta-analysis results reveal that invasion by alien macrophytes has an overall negative impact on taxonomic diversity of the three focal groups, but no consistent effect on abundance. At a finer resolution, we detect a strong negative effect of alien macrophyte invasion on resident macrophyte abundance and diversity, and a significant but smaller positive effect of submerged alien macrophyte invasion on macroinvertebrates. Effects on fish appear inconsistent.</p> <p>Our findings emphasise the importance of context- and taxon-specific ecological research in informing appropriate and proportionate management of alien macrophyte invasions, since alien macrophyte impacts are not consistently negative. We also identify significant geographical and taxonomic limitations in existing studies, quantitative data being lacking for many alien taxa.</p>

opencc-zeroAug 2022View details →
zenodo40/100

FIGURE 6 in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 6. Suggested head positions of Spinosaurus relative to water. A) when dipping the snout in the water to forage while leaving the naris above the waterline as per the wading model. Head angle of 45 degrees based on Schade et al. (2020) for Irritator. B) while lying submerged, keep the naris and orbit clear of the water while minimising the amount of head that is exposed as per Arden et al. (2019), C) fully submerged as if coming up for air and trying to expose only the nares to breathe. Scale bar equals 1 m.

opencc-by-4.0Jan 2021View details →
zenodo40/100

FIGURE 9 in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 9. Line drawings of mid caudal vertebrae and chevrons of assorted reptiles (all in left lateral view) compared to A) Spinosaurus (Ibrahim et al., 2020a). Taxa with known or inferred signaling structures linked to their elongate neural spines (top row), B) Bagaceratops (Tereschenko and Singer, 2013), the sail-finned lizards C) Hydrosaurus* and D) Basiliscus* (courtesy of Jeroen Costeseque), E) the drepanosaur Drepanosaurus (redrawn from Sues, 2019), F) the chameleon Trioceros (courtesy of Steven Huskey), and those which show adaptations for aquatic locomotion (bottom row), G) a juvenile specimen of the crocodylian Tomistoma* (courtesy of Mathew Wedel), H) the phytosaur Mystriosuchus (Renesto and Lombardo, 1999) I) the mosasaur Mosasaurus (modified from Lindgren et al., 2011), J) the sea snake Pelamis (modified from Lindgren et al., 2011), and K) diapsid Hovasaurus* (redrawn from Sues, 2019). Scale bars are A) 200 mm, B) 20 mm, C) 10 mm, D) 10 mm, E) 20 mm, F) 10 mm, G), 20 mm, H) 20 mm, I) 100 mm, J) 2 mm K) 20 mm.

opencc-by-4.0Jan 2021View details →
zenodo40/100

FIGURE 8 in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 8. Depth of water required for Spinosaurus to avoid the considerable effects of wave drag. Even with the hind limbs lifted up, the animal is nearly 3 m in dorsoventral height so to avoid wave drag (fully submerged by over 3.5 m) the water would need to be close to 6 m in depth for Spinosaurus to swim efficiently. This is a minimum and the real value is likely to be higher (see text for details). Outline modified from Ibrahim et al. (2020a) and scale bar equals 1 m.

opencc-by-4.0Jan 2021View details →
zenodo40/100

FIGURE 4 in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 4. Graph of theropod ungual curvature vs ungual length. The inset shows how the curvature of the unguals was measured. In lateral view a line AB is drawn between the ungual tip and the base. This is bisected by a perpendicular line until it contacts the ungual at point C. Lines are drawn from A to C and A to B and the internal angle measured. Unguals of Spinosaurus are in red, a further specimen attributed to a spinosaur is in yellow, and individual specimens are abbreviated as follows: Ab, abelisaurid; Ac, Acrocanthosaurus; Ai, Alioramus; Al, Allosaurus; Ca, Caudipteryx; Ce, ceratosaur; Co, Compsognathus; Di, Dilophosaurus; Ga, Gaulicho; Gg, Gigantoraptor; Gl, Gallimimus; Gu, Guanlong; Ha, Halszkaraptor; Ju, Juravenator; Ki, Kileskus; Li, Limusaurus; Mj, Majungasaurus; Sc, Spectrovenator; Sd, spinosaurid; Sn, Sinraptor; Sp, Spinosaurus; SB, Spinosaurus B; Tt, Tyrannotitan; Ty, Tyrannosaurus.

opencc-by-4.0Jan 2021View details →
zenodo40/100

FIGURE 3 in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 3. Graphs of various skull measurements to show the relationship between skull shape for different ecotypes. The red point is Spinosaurus, yellow are other spinosaurids, green are terrestrial taxa, pale blue are semi-aquatic and dark blue, fully aquatic animals. Least squares regressions are given for the terrestrial, semi-aquatic and aquatic datasets (the various spinosaurids were not included in these calculations), and the R2 values for these regressions are given.

opencc-by-4.0Jan 2021View details →
zenodo40/100

FIGURE 2 in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 2. Principal Components Analysis of various measurements of the skull rescaled to skull length. Principal Component 1 (83.5% of variance) plotted against Principal Component 2 (13.7% of variance), plotted using eigenvalue scale. The red point is Spinosaurus, yellow are other spinosaurids, green are terrestrial taxa, pale blue are semi-aquatic, and dark blue, fully aquatic animals. Silhouettes are from PhyloPic.org and color-coordinated with the lines of the convex hulls for the groups of taxa they represent: the red Suchomimus (representing Spinosauridae; red Xs), the light green Allosaurus (representing non-spinosaurid Theropoda; open light green circles), and the orange Paleorhinus (representing phytosaurs: light brown pluses) are by Scott Hartman; blue Peloneustes (representing Plesiosauria: solid dark blue circles) by Nobu Tamura; dark green Varanus (representing terrestrial lepidosaurs: green asterisks) and dark brown Crocodylus (representing Crocodyliformes: dark brown pluses) by Steven Traver. Additional taxa plot include thallatosuchians (solid light blue circles), the mosasauroid Plotosaurus (blue asterisk), the nothosauroid Lariosaurus (solid aqua circle), and freshwater semi-aquatic lepidosaurs (open orange squares). The inset shows a reptile skull and how measurements were taken for the data used here and in Figure 3.

opencc-by-4.0Jan 2021View details →
zenodo40/100

FIGURE 1 in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 1. Skeleton in a standing posture as if dip fishing in water following the wading model, and in a swimming posture (based on Ibrahim et al., 2020a) following the pursuit predator model. A non-exhaustive set of lines of evidence as described in the text are indicated by arrows that either directly support either model (white arrow), are ambiguous or do not contradict the model (grey arrow), or actively contradict the model (black arrow). Key traits are as follows: A) laterally compressed skull, B) nares position, C) mechanical jaw performance, D) orbit position, E) neck stiffness and posture, F) non-hydrodynamic shape, G) instability in water, H) sub-anguilliform locomotion, I) thin caudal neural spines, J) tail propulsion, K) distal tail flexibility, L) low swimming efficiency, M) somewhat reduced hind limbs, N) enlarged 1st toe, O) pachyostosis, P) pneumatic elements, Q) forelimbs not reduced, R) neck ventriflexion, S) quadrate shape, T) head posture (as determined for Irritator), U) isotopic data from teeth, V) tooth enamel ridges, W) rostral sensory system. Skeleton modified from the original by Genya Masukawa (used with permission) and scaled to the size of the neotype. Scale bar is 1 m.

opencc-by-4.0Jan 2021View details →
zenodo40/100

FIGURE 5 in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 5. Comparison of skull shape of Spinosaurus and Baryonyx scaled to the same size. The two are very similar, which although this may be expected from their shared evolutionary history would suggest that they fundamentally forage in similar ways for similar prey, which contradicts the idea that one is an aquatic specialist. Not to scale.

opencc-by-4.0Jan 2021View details →
zenodo40/100

FIGURE 7. A in Evaluating the ecology of Spinosaurus: Shoreline generalist or aquatic pursuit specialist?

FIGURE 7. A) Skull of a stork (Leptoptilos - scale bar is 100 mm) with a posteriorly retracted naris allowing them to forage while keeping the nares free of the water as in B) showing Ephipporhynchus senegalensis feeding. Although proportionally much further back here than in Spinosaurus, the absolute distance of the naris from the anterior tip of the jaw is less in the stork. C) Skull of crocodylian (Crocodylus - scale bar is 100 mm) with dorsally positioned naris allowing them to rest with minimal exposure of the head as in D) Crocodylus niloticus resting at the surface (image courtesy of Jonathan J. Meisenbach).

opencc-by-4.0Jan 2021View details →
zenodo40/100

Рис. 2. А – Тусингайское водохранилиЩе; В – оросительный канал Дустлик у г. Гулистан. Фото Н. РуЗикуловой, 2020 г. Fig. 2. A – Tusingay water reservoir; B – irrigation channel Dustlik near the Gulistan Town. Photo by N. Ruzikulova, 2020. in Patterns of ecology and life cycles of aquatic molluscs from Central Asia

Рис. 2. А – Тусингайское водохранилиЩе; В – оросительный канал Дустлик у г. Гулистан. Фото Н. РуЗикуловой, 2020 г. Fig. 2. A – Tusingay water reservoir; B – irrigation channel Dustlik near the Gulistan Town. Photo by N. Ruzikulova, 2020.

opencc-by-4.0Dec 2020View details →
zenodo40/100

Рис. 4. Раковины видов Melanoididae иЗ термальных источников: А – Melanoides pamiricus Lindholm иЗ теплого источника ДЖаушангоЗ (Памир), высота раковины 16 мм; В – M. shahdaraensis Starobogatov et Izzatullaev, иЗ теплого источника ДЖаушангоЗ, высота раковины 15 мм; С – M. kainarensis Starobogatov et Izzatullaev иЗ теплого источника ХадЖа-Кайнар (юго-восток Туркмении), высота раковины 23 мм. Фото З. ИЗЗатуллаева, 1976, 1980 гг. Fig. 4. Shells of the Melanoididae species from thermal springs: A – Melanoides pamiricus Lindholm, the hot spring Dzhaushangoz (Pamir), shell height 16 mm; B – M. shahdaraensis Starobogatov et Izzatullaev, the hot spring Dzhaushangoz, shell height 15 mm; C – M. kainarensis Starobogatov et Izzatullaev, the hot spring Khadzha-Kainar (south-eastern Turkmenistan). Photo by Z. Izzatullaev, 1976, 1980. in Patterns of ecology and life cycles of aquatic molluscs from Central Asia

Рис. 4. Раковины видов Melanoididae иЗ термальных источников: А – Melanoides pamiricus Lindholm иЗ теплого источника ДЖаушангоЗ (Памир), высота раковины 16 мм; В – M. shahdaraensis Starobogatov et Izzatullaev, иЗ теплого источника ДЖаушангоЗ, высота раковины 15 мм; С – M. kainarensis Starobogatov et Izzatullaev иЗ теплого источника ХадЖа-Кайнар (юго-восток Туркмении), высота раковины 23 мм. Фото З. ИЗЗатуллаева, 1976, 1980 гг. Fig. 4. Shells of the Melanoididae species from thermal springs: A – Melanoides pamiricus Lindholm, the hot spring Dzhaushangoz (Pamir), shell height 16 mm; B – M. shahdaraensis Starobogatov et Izzatullaev, the hot spring Dzhaushangoz, shell height 15 mm; C – M. kainarensis Starobogatov et Izzatullaev, the hot spring Khadzha-Kainar (south-eastern Turkmenistan). Photo by Z. Izzatullaev, 1976, 1980.

opencc-by-4.0Dec 2020View details →
zenodo40/100

Рис. 1. А – р. Зарафшан в среднем течении (предгорнаЯ река); В – р. Зарафшан в ниЖнем течении (равниннаЯ река). Фото Н. РуЗикуловой, 2019 г. Fig. 1. А – the Middle Zarafshan River (submountain river); B – the Lower Zarafshan River (lowland river). Photo by N. Ruzikulova, 2019. in Patterns of ecology and life cycles of aquatic molluscs from Central Asia

Рис. 1. А – р. Зарафшан в среднем течении (предгорнаЯ река); В – р. Зарафшан в ниЖнем течении (равниннаЯ река). Фото Н. РуЗикуловой, 2019 г. Fig. 1. А – the Middle Zarafshan River (submountain river); B – the Lower Zarafshan River (lowland river). Photo by N. Ruzikulova, 2019.

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 15. P in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 15. P.sinensis laid eggs after breeding in captivity (Latgales Zoo, shelter for exotic turtles).

opencc-by-4.0Dec 2016View details →
zenodo40/100

Fig.13 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig.13. Old adult female of Emys orbicularis from the habitat, where Pelodiscus sinensis #PeSi0003 was found in 2014 (Daugavpils, Latvia) (Photo: 2003).

opencc-by-4.0Dec 2016View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record