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6,861 results for “Animals”
Fig. 3 in Animal remains of the Neolithic Ritual Burial Complex near Krum Village (Haskovo Region, SE Bulgaria)
Fig. 3. Cattle (Bos taurus) – pedal phalanges (Photograph: Z. Boev).
In vitro assessment of protein digestibility and mineral solubility of black soldier fly larvae meals for monogastric animals
Open the record for dataset details and reuse information.
WP8 Authorizations of animal procedures
<p>It contains the authorization of the habilitated organs in the animal research procedures</p>
Animal versus plant protein and adult bone health: a systematic review and meta-analysis from the National Osteoporosis Foundation- S1 File
<p>All calculations and meta-analyses for the systematic review "Animal versus plant protein and adult bone health: a systematic review and meta-analysis from the National Osteoporosis Foundation" were conducted in Stata SE 13 (Stata Corp) using this analytical dataset <strong>(S1 File).</strong></p>
Month-to-month proportion of LSD-vaccinated animals at regional level (NUTS3) in south-eastern Europe since January 2016 until November 2017 and reported LSD outbreaks
<p>The European Food Safety Authority (EFSA), under request of the European Commission, performed an epidemiological analysis of the lumpy skin disease (LSD) epidemics based on the data collected from the affected and at-risk Member States and non-EU countries in south-eastern Europe. The video at the link below shows the month-to-month proportion of LSD-vaccinated animals at regional level (NUTS3) since January 2016 until November 2017 and reported LSD outbreaks per month (red dots are the new outbreaks each month, grey dots are past outbreaks).</p> <p> </p> <p>*This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo Declaration of Independence.</p>
Supporting material for "Pharmacological validation of individual animal locomotion, temperature and behavioural analysis in group-housed rats using a novel automated home cage analysis system: a comparison with the modified Irwin test"
<p>The data were uploaded to support the manuscript "Pharmacological validation of individual animal locomotion, temperature and behavioural analysis in group-housed rats using a novel automated home cage analysis system: a comparison with the modified Irwin test" for the submission to Journal of Pharmacological and Toxicological Methods.</p>
Animated plots of the spectrum and polarisation of Cassiopeia A based on a 24 hour observation with LOFAR Station IE613 (LBA)
<p>This collection of animated plots over time of the variation in channel flux for the linear polarisation channels XX, XY and YY and Stokes Parameters U, V, I and Q against frequency for Cassiopeia A as observed at LOFAR station SE607 between 2018-04-06 and 2018-04-07 using the LBA</p>
Animated plots of the spectrum and polarisation of Cassiopeia A based on a 24 hour observation with LOFAR Station IE613 (LBA)
<p>This collection of animated plots over time of the variation in channel flux for the linear polarisation channels XX, XY and YY and Stokes Parameters U, V, I and Q against frequency for Cassiopeia A as observed at LOFAR station IE613 between 2018-04-06 and 2018-04-07 using the LBA</p>
Animated Plots of the variance of observed data from LOFAR Station IE613
<p>This series of animated plots illustrates the variation of the linear polarisation channels and Stokes parameters for an observation of CasA from LOFAR station IE613 against altitude and azimuth throughout the frequency range of LOFAR HBA.</p>
Data from: Individual Movement - Sequence Analysis Method (IM-SAM): characterising spatio-temporal patterns of animal trajectories across scales and landscapes
<p>Dataset included in Zenodo supports the analyses performed in "<em>Individual Movement - Sequence Analysis Methods (IM-SAM) characterising spatio-temporal patterns of animal trajectories across scales and landscapes.</em>"</p> <p>The dataset includes one RDS file, that can be easily loaded into R using the readRDS function. The RDS file consists out of a list including two objects per animal:</p> <ul> <li>Object 1 contains a data frame with the real and simulated sequences for an animal. e.g., ls[[1]][[1]] </li> <li>Object 2 contains the home range in raster format of an animal. e.g., ls[[1]][[2]]</li> </ul> <p>The data frames in object 1 contain real habitat use sequences and corresponding simulated habitat use sequences generated in the home range of the specific individual (900 simulated sequences: 6 habitat selection rules x 3 selection coefficients x 50 repetitions). Open and closed habitats are respectively encoded by 0 and 1. The first 96 columns of each row in a data frame represent a 16-day habitat use sequence, with a fixed 4-hour relocation interval (0, 4, 8, 12, 16 and 20h). Column names are named as follows: Day_1_0h, Day_1_4h,..., Day_16_20h. In the next columns we provide the selection coefficients (columns 97-99), the habitat selection rules (or pattern, columns 100-102) and the number of missing values (mvs, columns, 103-104) for each of the real and simulated sequences. Note that simulated sequences have no missing values (i.e. values are always 0.00) and for real sequences there is no selection coefficient or habitat selection rule (i.e. values are always xxx).</p> <p>Rownames of simulated sequences are composed out of the habitat selection rule (c, o, a24, a33, a42 and u), the selection coefficient (5, 10, 50) and the replicate (1 to 50), separated by dashes. For example, the first simulated sequence in the first data frame (ls[[1]][[1]][1,]) is described as a24_10_1. The rownames of real sequences instead are composed out of the individuals' identifier, the biweekly period (1 to 23) and the year. For example, the first real sequence in the first data frame (ls[[1]][[1]][901,]) is described as 1_5_2006.</p> <p><br> </p>
The Toybox Dataset of Visual Object Transformations-Part 1: Animals
<p>We introduce a new video dataset called Toybox for computer vision research. Videos in Toybox come from first-person, wearable camera recordings of common household objects and toys being manually manipulated to undergo structured transformations like rotations and translations. This is part one of the three-part dataset. Part one contains videos of toy animals: cat, duck, giraffe, and horse. Part two and three include households and vehicles, respectively.</p>
Animation of 24h-metereologic radar data (maximum reflectivity and CFAD) for the Liebenbergvlei, Freestate, South Africa on December 30 2001
<p>The visualisation of metereologic radar data for the Liebenbergvlei, RSA, covers the time between December 30 2001 00:00:00 hours and 23:59:00 hours in five minute steps. The data war recorded by the X-band metereological radar station operated by the South African Weather Service in the Liebenbergvlei in the Freestate, South Africa. For each time step, the maximum reflectitivity is depicted on the left, while the contoured frequency by altitude (CFAD) diagram is shown on the right (derived from plan position indicator (PPI) volume data from 1 to 18km height above ground). The processing of the data based on MDV-files was done in GRASS GIS v5.0.</p>
3D hydrodynamic simulations of C ingestion into a convective O shell: Animated visualisations
<p>Animated visualisations of the 3D simulations presented by Andrassy et al. (2019), arXiv:1808.04014.</p>
Evaluation of tracking devices and elicitation of wearability requirements for animal-centred biotelemetry in cats
<p>Thirteen cat participants wearing GPS devices were monitored through ethologically-informed observations, designed specifically to measure the behaviour of the animals with the biotelemetry tags. Here, findings from the behavioural analysis are presented.</p>
Animations for "Remnants of Subdwarf Helium Donor Stars Ejected from Close Binaries with Thermonuclear Supernovae"
<p>Movies showing time evolution of the density in the z=0 plane for each of the seven Athena++ models in the paper. Each movie file corresponds to one model, labeled according to donor model number and the kinetic energy of the explosion in units of 10<sup>51</sup> ergs.</p>
Comparative whole genome phylogeny of animal, environmental and human strains confirms the genogroups organization and the diversity of Stenotrophomonas maltophilia
<p>Reannotation of Smc genomes from Refseq (Prokka v1.13) and gene presence and absence spreadsheet from Roary.</p>
Number of bovine animals tested by age group, reporting country and target group, 2018
<p>The tables contain the number of bovine animals tested by age group, reporting country and target group, 2018</p>
Applicability of the inverse dispersion method to measure emissions from animal housings - data set & R scripts
<h2>Data availability</h2> <p>Provided are:<br>- raw data of the instruments<br>- R Scripts to reproduce the findings in the publication<br>- R outputs</p> <h2>Scripts</h2> <p>In total, there are 10 scripts provided, of which most of them are needed to reproduce the data in the publication.</p> <p>Below, a brief explanation of the content of the different scripts.</p> <ul> <li>01_Datatreatment_01_Weatherstation.r ## This script reads in the weather station data and makes it ready for further use.</li> <li>01_Datatreatment_02_Sonics.r ## This script reads in the 3D ultrasonic data and makes it ready for further use.</li> <li>01_Datatreatment_03_GasFinder.r ## This script reads in the GasFinder data and makes it ready for further use.</li> <li>01_Datatreatment_04_MFC_Pressuresensor.r ## This script reads in the mass flow controller (MFC) and pressure sensor data and makes it ready for further use.</li> <li>02_Calculation_01_bLS.r ## This script is made to run the bLSmodelR and tailored to the number cruncher of the University of Applied Sciences BFH. The code should also work on your computer but you have to adopt the number of cores.</li> <li>02_Calculation_02_Concentration.r ## This script treats the unprocessed concentration data. It removes false concentrations, applies an intercalibration, and makes the data ready for further use.</li> <li>02_Calculation_03_Emissions.r ## This script calculates emissions and makes it ready for further use.</li> <li>02_Calculation_04_contourXYZ_Plume.r ## This script calculates the plume contours in the XY and XZ plane. This script is not necessary to reproduce the findings of the publication.</li> <li>03_Apply_filter.r ## This script applies the quality filtering and makes the data ready for further use.</li> <li>04_Plots_Tables.r ## With this script one can recreate all the plots and values in the tables of the publication, the supplement, and the initial submission.</li> </ul> <p>Note, for the geometry, there is no script provided. The coordinates of the different sensors and the source are solely provided as R output.</p> <h3>Naming of instruments</h3> <p>The instruments in the publication have different names than in the scripts. In some scripts the final names are also provided but throughout the evaluation the original device names are used. Only in the script 04_Plots_Tables.r are the final names introduced. Below is an overview of what original name corresponds to the final name of the devices:</p> <h4><strong>GasFinder instruments called 'OP' in the publication</strong></h4> <ul> <li>OP-UW = GF26</li> <li>OP-2.0h = GF17</li> <li>OP-5.3h = GF18</li> <li>OP-6.8h = GF16</li> <li>OP-12h = GF25</li> </ul> <p><strong>3D ultrasonic anemometer instruments called 'UA' in the publication</strong></p> <ul> <li>UA-UW = SonicC</li> <li>UA-2.0h = SonicA</li> <li>UA-5.3h = Sonic2</li> <li>UA-6.8h = SonicB</li> </ul> <p><strong>Source</strong><br>In some of the scripts, the source might be called 'Schopf' which is a local term for 'shed'.</p> <h2>Note</h2> <p>This code was written by Marcel Bühler (minor code chunks were originally written by Christoph Häni) and is intended to reproduce the findings of the linked publication. Please feel free to use and modify it (e.g., use it to run different dispersion models), but attribution is appreciated.</p> <h2>Disclaimer</h2> <p>I do not guarantee that everything works. It might be that not all variables were changed to English for better understanding correctly. Unfortunately, it is not possible to provide all the catalogs of the bLS run, as the total size is several 100s of GB. In case you run the bLS model on your own, the result will have a minimal difference, as no bLS run produces the same result twice. This should, however, not alter the findings.</p> <h2>Contact</h2> <p>In case you have questions, please contact Marcel Bühler (mb@bce.au.dk). In case this does not work, Christoph Häni might also be able to help (christoph.haeni@bfh.ch).</p>
Shelled animal body mass
<p>estimates based on length measurements from specimens or specimen photos. Lengths from</p> <p>http://www.femorale.com. Conversion formulae from literature sources.</p>
Milk Chemical Data: Milk Composition of Non-Dairy Animals
"The Milk Composition of Non-Dairy Animals" is a database describing the composition of milk of non-dairy animals. It is a supplement to "Asdell__s Patterns of Mammalian Reproduction" by Hayssen, van Tienhoven, and van Tienhoven, 1993, published by Cornell University Press.
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.