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6,861 results for “Animation”
Genome wide analysis of Suv4-20h1/2 depleted animal caps [dataset4]
GEO Series GSE161250. Xenopus tropicalis. 16 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome data of rat bladder tissues of chronic bladder ischemia injury mediated detrusor underactive animal model
GEO Series GSE122060. Rattus norvegicus. 6 samples. Type: Expression profiling by array.
Expression data from E14.5 Onecut1 WT and KO animals
GEO Series GSE57917. Mus musculus. 6 samples. Type: Expression profiling by array.
Comparative analysis of transcriptional profiles of adult Schistosoma japonicum from different laboratory animals and the natural host, water buffalo
GEO Series GSE65327. Schistosoma japonicum. 24 samples. Type: Expression profiling by array.
Expression data from the starved first larval stage (L1) C. elegans animals that were incubated in S-basal buffer for 30 hours after bleaching
GEO Series GSE45651. Caenorhabditis elegans. 6 samples. Type: Expression profiling by array.
Circadian Liver Gene Expression in Animals on Normal Chow or High Fat Diet
GEO Series GSE52333. Mus musculus. 36 samples. Type: Expression profiling by array.
Gene expression of mouse brain, mouse microglia, and mouse perivascular macrophages (pvm) in NRROS WT and NRROS KO animals
GEO Series GSE84148. Mus musculus. 29 samples. Type: Expression profiling by high throughput sequencing.
Two evolutionary developmental strategies for miRNA gene regulation in animal embryogenesis [CE_RNA-seq]
GEO Series GSE102680. Caenorhabditis elegans. 24 samples. Type: Expression 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.
Periodic dietary restriction of animal products induces metabolic reprogramming in humans with effects on health
<p>We conducted metabolomic and proteomic profiling in 411 healthy individuals, of whom almost a half follow a structured dietary pattern of animal product restriction.<br>Metabolite levels were measured on the Nightingale panel. Protein levels were measured on the Olink 1536 panel. Following QC, we conducted differential abundance analysis using limma (statistical software package in R) for metabolites and proteins, as described in our manuscript. Here we have deposited limma output results, annotated for each comparison made (eg. PRT2vsPRT1 for PR individuals at TImepoint 2 vs. Timepoint 1). For more details, please refer to the manuscript</p> <div> </div> <div>For metabolomics the files include:</div> <div>1. Nightingale_LIMMA_777ind_PRT2vsPRT1.txt 2. Nightingale_LIMMA_777ind_NRT2vsNRT1.txt 3. Nightingale_LIMMA_777ind_PRT1vsNRT1.txt 4. Nightingale_LIMMA_777ind_PRT2vsNRT2.txt</div> <div> </div> <div>For proteomics the files include:</div> <div>1. Olink_LIMMA_793ind_NRT2vsNRT1.txt 2. Olink_LIMMA_793ind_PRT1vsNRT1.txt 3. Olink_LIMMA_793ind_PRT2vsNRT2.txt 4. Olink_LIMMA_793ind_PRT2vsPRT1.txt</div> <div> </div> <div>The columns in the files refer to:</div> <div><strong>logFC:</strong> Log-fold change, indicating the magnitude of change in gene expression between conditions. <strong>CI.L and CI.R:</strong> Confidence intervals for the log-fold change. <strong>AveExpr:</strong> Average expression level of the gene across conditions. <strong>t:</strong> t-statistic, measuring the significance of the difference in expression between conditions. <strong>P.Value: </strong>P-value, indicating the probability of observing the data if the null hypothesis (no difference in expression) is true. <strong>adj.P.Val:</strong> Adjusted P-value, considering multiple testing corrections. <strong>B:</strong> B-statistic, a measure of the strength of evidence for differential expression. <strong>metabolite:</strong> metabolite that was measured.<strong>OlinkID: </strong>protein ID provided by Olink <strong>UniProt: </strong>Uniprot ID <strong>Assay: </strong>gene name</div> <p> </p>
Figure 5 in Shedding light on species boundaries in small endogeic animals through an integrative approach: species delimitation in the centipede Clinopodes carinthiacus (Chilopoda: Geophilidae) in the south-eastern Alps
Figure 5. Contribution of the bioclimatic variables on the first two principal components of climatic variation in the study area, and density of occurrence of Clinopodes carinthiacus s.s. and Clinopodes strasseri on the two principal components estimated with ecospat, based on 106 sites (former species) and 16 sites (latter). Continuous and dashed contour lines indicate 100% and 50% of the available climatic space, respectively.
FELDMANN Fuss - Transmutation & Animation
Source: Objaverse 1.0 / Sketchfab
Animated flag
It is a animated Indian flag . It is a Blend file. Hope useful Source: Objaverse 1.0 / Sketchfab
FIGURES 26–28 in Four new Megaselia species (Diptera: Phoridae) from animal carcasses in Bangi, Malaysia
FIGURES 26–28. Megaselia selangorensis sp. n. male: 26—right face of hypopygium; 27—middle leg; 28—hind femur.
ScienceDex guides
Understand access before you commit
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.