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20 results for “Running over animals”
ALICE Pb-Pb Run 2 event display with red/blue tracks: animation
<div> <p>This animated event display shows tracks in a Pb-Pb event recorded during Run 2 of the LHC. Individual tracks are shown following a red/blue colour code according to their charge, and tracks expand outwards with a velocity calculated with their measured momenta and using the pion mass hypothesis. Outer detectors are not shown for simplicity. </p> </div>
Plant-animal interactions between carnivorous plants, sheet-web spiders, and ground-running spiders as guild predators in a wet meadow community
<p>Plant-animal interactions are diverse and wide-spread shaping ecology, evolution and biodiversity of most ecological communities. Carnivorous plants are unusual in that they can be simultaneously engaged with animals in multiple mutualistic and antagonistic interactions including reversed plant-animal interactions where they are the predator. Competition with animals is a potential antagonistic plant-animal interaction unique to carnivorous plants when they and animal predators consume the same prey.</p> <p>The goal of this field study was to test the hypothesis that under natural conditions, sundews and spiders are predators consuming the same prey thus creating an environment where interkingdom competition can occur.</p> <p>Over 12 months, we collected data on 15 dates in the only protected Highland Rim Wet Meadow Ecosystem in Kentucky where sundews, sheet-web spiders and ground-running spiders co-exist. One each sampling day, we attempted to locate fifteen sites with: 1) both sheet-web spiders and sundews; 2) sundews only; and where neither occurred. Sticky traps were set at each of these sites to determine prey (springtails) activity-density. Ground-running spiders were collected on sampling days. DNA extraction was performed on all spiders to determine which individuals had eaten springtails and comparing this to the density of sundews where the spiders were captured. </p> <p>Sundews and spiders consumed springtails. Springtail activity-densities were lower the higher the density of sundews. Both sheet-web and ground-running spiders were found less often where sundew densities were high. Sheet-web size was smaller where sundews densities were high. </p> <p>The results of this study suggest that asymmetrical exploitative competition occurs between sundews and spiders. Sundews appear to have a greater negative impact on spiders, where spiders probably have little impact on sundews. In this example of interkingdom competition where the asymmetry should be most extreme, amensalism where one competitor experiences no cost of interaction may be occurring. </p>
Plant-animal interactions between carnivorous plants, sheet-web spiders, and ground-running spiders as guild predators in a wet meadow community
Open the record for dataset details and reuse information.
Fig. 2. A B in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 2. A B-spline solid is a closed object whose shape can be adjusted by moving control points (dark points) that deforms the local portion of the object near the control point. The initial cylindrical shape in A is adjusted (B and C) by pulling out the points at the ends and drawing the points in the middle closer to the axis.
Fig. 1 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 1. Body segments can be created using mass objects of different density and shape. Mass objects can be collected into mass sets to calculate their combined inertial properties; the most inclusive Tyrannosaurus mass set (whole body) is outlined here, as well as the trunk segment and its embedded mass objects.
Fig. 1 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 1. Body segments can be created using mass objects of different density and shape. Mass objects can be collected into mass sets to calculate their combined inertial properties; the most inclusive Tyrannosaurus mass set (whole body) is outlined here, as well as the trunk segment and its embedded mass objects.
movement in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
movement
mass properties in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
mass properties
High-throughput sequencing analysis of a “hit and run” cell and animal model of KSHV tumorigenesis. [MBD-Seq]
GEO Series GSE148741. Mus musculus. 15 samples. Type: Methylation profiling by high throughput sequencing.
High-throughput sequencing analysis of a “hit and run” cell and animal model of KSHV tumorigenesis. [RNA-Seq]
GEO Series GSE144101. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Voluntary wheel running did not alter gene expression in 5xFAD mice, but in wild-type animals exclusively after one-day exercise bout
GEO Series GSE164798. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
High-throughput sequencing analysis of a “hit and run” cell and animal model of KSHV tumorigenesis.
GEO Series GSE148742. Mus musculus. 30 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Fig. 7 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 7. The six cavities embedded in Tyrannosaurus Model 1's head, neck, and trunk segments, shown in right lateral (A) and dorsal (B) views. 'bc' indicates the buccal cavity; and 'pc' indicates the pharyngeal cavity.
Fig. 8 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 8. Six Tyrannosaurus models (in right lateral view) from our sensitivity analysis, representing the extreme high and low values obtained for mass, CM, and inertia. Shown: Model 1 (original 'skinny' model), Model 3 (largest torso), Model 7 (largest torso and legs), Model 21 (largest cavities), Model 27 (largest legs and cavities), and Model 30 ('best guess'). The right hip joint (pink circle; to left) and total body COM with respect to that point (red circle; to right) are indicated, with the x; y; z world axes (right hip joint) and the x; y; z principal axes for inertia calculations (COM) indicated by arrows.
Fig. 4 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 4. Ostrich trunk mass set models: (A) photograph of original trunk carcass in right lateral view, suspended on a cable for CM and inertia estimation experiments; (B) point cloud of carcass landmarks from digitization; (C) B-spline solid shrinkwrapped to fit underlying carcass landmarks (carcass model); (D) photograph of skeleton after defleshing of carcass, (E) point cloud of skeletal landmarks from digitization; (F) B-spline solid shrinkwrapped to fit underlying skeletal landmarks (skeleton model); and (G) Skeleton model with B-spline solid expanded laterally to simulate added flesh (fleshed-out model). Not to scale. The right hip joint (pink and black disk; caudal) and CM (red and black disk; cranial) are shown for the models, with principal axes (arrows). A dotted curve outlines the acetabulum in the carcass and skeleton pictures.
Fig. 5. Tyrannosaurus MOR 555 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 5. Tyrannosaurus MOR 555 skeleton: (A) Photograph of mounted skeleton in Berkeley, California (in left lateral view); (B) Torso skeletal landmark points digitized for our study, plus digitized pelvis and leg bones from Hutchinson et al. (2005); and (C, D) additional cranial and caudal photographic views of the skeleton from A.
Fig. 3. A B in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 3. A B-spline solid can have its boundary surface tessellated into triangles of different resolution. The more triangles are used, the better the approximation of a smooth surface can be achieved. Ostrich trunk models from Table 1 shown with increasing number of triangles: in lateral view (from A to F) and in dorsal view (from G to L). The warped appearances of the models are not errors but reflect the complex 3D surface of the dissected ostrich carcass, and the difficulty of representing this surface with simpler geometry.
Fig. 6 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 6. Original Tyrannosaurus mass set (Model 1) in right lateral (A), dorsal (B), cranial (C), caudal (D), and oblique right craniolateral (E) views. Not to scale. The odd shape of the hip region in (B) represents the 15° adbuction of the thigh segment (see Section 2), which makes the thigh seem laterally-flared in dorsal view. This is also evident in the abducted positions of the lower legs and feet in C–E. It is not yet clear precisely how theropod dinosaur hindlimb joints (especially the hip and knee) brought the feet close to the body midline (e.g., Paul, 1988; Hutchinson et al., 2005), so our model was left with its feet in an abducted position (making it easiest to edit 3D leg dimensions), which had no important effects on our results.
Fig. 7 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 7. The six cavities embedded in Tyrannosaurus Model 1's head, neck, and trunk segments, shown in right lateral (A) and dorsal (B) views. 'bc' indicates the buccal cavity; and 'pc' indicates the pharyngeal cavity.
Fig. 9 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 9. Mass sets used for the Tyrannosaurus turning body analysis; shown for Models 1, 30, and 3.
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.