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48 results for “Aquatic animals”
Figure 2 from: Vinarski M (2015) Conceptual shifts in animal systematics as reflected in the taxonomic history of a common aquatic snail species (Lymnaea stagnalis). Zoosystematics and Evolution 91(2): 91-103. https://doi.org/10.3897/zse.91.4509
Figure 2 - Evolution of accuracy in illustrations of Lymnaea stagnalis shell through two centuries. Sources of images: A. Aldrovandi 1606. B. Lister 1678. C. Bonanni 1681. D. Klein 1753. E. Seba 1758. F. Schröter 1779.
Fig. 4 in Isolation and identification of 18 unrecorded prokaryotic species from the intestinal tracts of aquatic animals in Korea
Fig. 4. The phylogenetic tree based on 16S rRNA gene sequence showing the phylogenetic relatedness between the two isolated strains belonging to the phylum Bacteroidetes and the type species from each genus. The tree was mainly reconstructed using the NJ, ML, and MP algorithms. The filled diamonds indicate the branches present in the phylogenetic trees reconstructed using three different tree reconstruction methods. Numbers on the nodes represent bootstrap values with 1000 replicates (NJ/ML/MP). Escherichia coli ATCC 11775T was used as an outgroup. The bar indicates 0.05 accumulated substitutions per nucleotide.
Data from: Two-current choice flumes for testing avoidance and preference in aquatic animals
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Data from: Calculating the ecological impacts of animal-borne instruments on aquatic organisms
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Data from: Overall dynamic body acceleration measures activity differently on large vs small aquatic animals
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Data from: Performance assessment of two whole-lake acoustic positional telemetry systems - is reality mining of free-ranging aquatic animals technologically possible?
Acoustic positional telemetry systems (APTs) represent a novel approach to study the behaviour of free ranging aquatic animals in the wild at unprecedented detail. System manufactures promise remarkably high temporal and spatial resolution. However, the performance of APTs has rarely been rigorously tested at the level of entire ecosystems. Moreover, the effect of habitat structure on system performance has only been poorly documented. Two APTs were deployed to cover two small lakes and a series of standardized stationary tests were conducted to assess system performance. Furthermore, a number of tow tests were conducted to simulate moving fish. Based on these data, we quantified system performance in terms of data yield, accuracy and precision as a function of structural complexity in relation to vegetation. Mean data yield of the two systems was 40 % (Lake1) and 60 % (Lake2). Average system accuracy (acc) and precision (prec) were Lake1: acc = 3.1 m, prec = 1.1 m; Lake2: acc = 1.0 m, prec = 0.2 m. System performance was negatively affected by structural complexity, i.e., open water habitats yielded far better performance than structurally complex vegetated habitats. Post-processing greatly improved data quality, and sub-meter accuracy and precision were, on average, regularly achieved in Lake2 but remained the exception in the larger and structurally more complex Lake1. Moving transmitters were tracked well by both systems. Whereas overestimation of moved distance is inevitable for stationary transmitters due to accumulation of small tracking errors, moving transmitters can result in both over- and underestimation of distances depending on circumstances. Both deployed APTs were capable of providing high resolution positional data at the scale of entire lakes and are suitable systems to mine the reality of free ranging fish in their natural environment. This opens important opportunities to advance several fields of study such as movement ecology and animal social networks in the wild. It is recommended that thorough performance tests are conducted in any study utilizing APTs. The APTs tested here appear best suited for studies in structurally simple ecosystems or for studying pelagic species. In such situations, the data quality provided by the APTs is exceptionally high.
Figure 3 from: Vinarski M (2015) Conceptual shifts in animal systematics as reflected in the taxonomic history of a common aquatic snail species (Lymnaea stagnalis). Zoosystematics and Evolution 91(2): 91-103. https://doi.org/10.3897/zse.91.4509
Figure 3 - Illustrations of living Lymnaea stagnalis by Ginanni (1757).
Data from: Performance assessment of two whole-lake acoustic positional telemetry systems - is reality mining of free-ranging aquatic animals technologically possible?
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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.