Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,576
datasets available to search
ShareScore release 0.7.1
Dataset results
2,576 results for “pet”
Fig. 3 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 3. Phylogenetic relationships of Cryptosporidium detected from the Arabian blue mastigure and closely-related species/subtypes as inferred by a maximum likelihood analysis of concatenated sequences were constructed from the partial DNA sequences of SSU (left), actin (middle), and HSP70 (right) loci. Numbers represent the boot strap values for NJ (left) and ML (Right). Bar represents the number of nucleotide substitutions per sites. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 1. Histological findings of the deceased Arabian blue mastigure. (A) jejunoileum showing villous atrophy, muscle layer edema, and degenerated epithelial cells in the lumen. Bar = 500 μm. (B) Cryptosporidium appear as rounded purple structures (arrowheads) on the microvilli of the epithelial cells. HE staining. Bar = 50 μm. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in First subtyping of Blastocystis sp. from pet rodents in southwestern China
Fig. 2. Phylogenetic relationships among nucleotide sequences of Blastocystis partial small subunit ribosomal RNA (SSU rRNA) genes. The neighbor-joining method was used to construct the trees from the Kimura-2- parameter model. Branch numbers represent percent bootstrapping values from 1000 replicates, with values of more than 50% shown in the tree. Each sequence is identified by its accession number, subtypes, host origin, and country. Blastocystis subtypes identified in the present study are indicated in bold-type.▲ are subtypes in this study.
Fig. 1. Phylogenetic relationships between the E in Molecular characterization and novel genotypes of Enterocytozoon bieneusi in pet snakes in Beijing, China
Fig. 1. Phylogenetic relationships between the E. bieneusi genotypes identified in this study and other reported genotypes. The relationships were inferred using maximum likelihood analysis of the ITS rRNA gene and the values generated greater than 70% are shown beside the nodes. Genotypes with filled circles and triangles are known and novel genotypes identified in this study, respectively.
Fig. 11. Pet trade. A in The herpetofauna of Hidalgo, Mexico: composition, distribution, and conservation status
Fig. 11. Pet trade. A boa constrictor (Boa imperator) captured by locals for maintenance in captivity as a pet in El Borbollon in the municipality of Huehuetla. Photo by Christian BerriozabalIslas.
GATE simulated cylindrical PET with NEMA-like phantom
<p>This is a GATE-simulated data using a cylindrical PET scanner (based on the GATE cylindrical PET example) and a NEMA-like phantom. Included are the sinograms created by OMEGA software, for both TOF and non-TOF cases as mat-files as well as normalization correction coefficients. You can open these mat-files in MATLAB, Octave, Python, Julia or in practically any other language. This data can be also used as a testing data for OMEGA. Included is also the ground truth image (i.e. the source image), attenuation image as created by GATE, as well as the original ROOT files. The ROOT file package also contains the original macros that give details on the scanner and the phantom.</p> <p>The sinogram data contains several different sinograms. raw_SinM is the raw sinogram with no modifications, SinM contains normalization and randoms correction precorrected (not available for TOF data), SinDelayed contains delayed coincidences, SinTrues the trues, SinRandoms the true randoms, SinScatter the true scattered photons, appliedCorrections show the corrections applied to SinM and RandProp and ScatterProp show whether variance reduction or smoothing was applied to the delayed coincidences or (not present) scatter estimation data. The attenuation data is already correctly scaled and is saved as a MetaImage file.</p> <p>Also included is the ground truth, or original source, image. This is saved as the variable C. RA is the randoms image while SC is the scatter image. The latter two are in singles mode, i.e. they show the locations of the photons that either were random (two different events) or scattered along the way.</p> <p>The normalization data works for other measurements with the same scanner as long as the sinogram dimensions remain the same. OMEGA will automatically use the normalization data if it's present in the mat-files folder.</p> <p>This new version includes also the detector coordinates for each measurement. This is mainly for OMEGA-example showcasing the use of custom data. See, for example, <a title="https://github.com/villekf/OMEGA/blob/master/main-files/custom_detector_exampleSimple.m" href="https://github.com/villekf/OMEGA/blob/master/main-files/custom_detector_exampleSimple.m" target="_blank" rel="noopener">https://github.com/villekf/OMEGA/blob/master/main-files/custom_detector_exampleSimple.m</a></p>
Mediso SCP PET NEMA IQ phantom
<p>NEMA iQ Phantom™ with Ge68</p> <p>includes hot sphere and cold sphere with internal diameters of 10, 13, 17, 22, 28, and 37 mm</p> <p>acquired with a Mediso AnyScan SCP<br>* 60 mins <br>* 1 bed position</p>
Synthesis and biological evaluation of a radiolabeled PET probe for visualization of in vivo -fucosidase expression - esi
<p>Supplementary data for paper titled: <strong>Synthesis and biological evaluation of a radiolabeled PET probe for visualization of <em>in vivo</em> </strong><strong>a</strong><strong>-fucosidase expression</strong></p>
Dataset related to article "Acetaldehyde in polyethylene terephthalate (PET) bottledwater: assessment and mitigation of health risk for consumers"
<p><em>The file contains the raw data related to the manuscript: "Acetaldehyde in Polyethylene Terephthalate (PET) Bottled Water: Assessment and Mitigation of Health Risk for Consumers"</em></p> <p><strong>Abstract</strong>: This study was designed to investigate the levels of acetaldehyde residues in polyethylene terephthalate bottled water and its significance in terms of consumer health. We analyzed 104 samples collected throughout Italy, so as to be representative of the national market. Parameters such as CO<sub>2</sub> level, shelf life, weight of the empty bottle and distance from the production sites to the point of sale were also collected. Although the levels of acetaldehyde complied with the limits established by Italian legislation, they varied widely, with concentrations ranging from 0.41 to 76.2 µg/L. An assessment of safety for human health, using the margin of exposure approach, showed that the amount of acetaldehyde in bottled water is unlikely to be of any safety concern for human health. The acetaldehyde residues were mainly due to CO<sub>2</sub> levels which influence solubility of acetaldehyde in water. They are also related to the size of the bottle and the distance from the store, but not to the shelf life, at least for 40 days. The findings suggest some good practices for a better product from the point of view of public health, like polymer quality and limitation of transport distances.</p> <p><strong>Funding</strong>: This research was funded by Mineracqua.</p> <p> </p>
Long term mean Potential Evapotranspiration (PET) and Actual Evapotranspiration (EAT) estimates using World-Wide HYPE and different PET-formula
<p>Data of the article "<strong>Which Potential Evapotranspiration Formula to Use in Hydrological Modelling World-wide? </strong>" (Pimentel et al. 2023, <em>Water Resources Research, </em><a href="https://doi.org/10.1029/2022WR033447">https://doi.org/10.1029/2022WR033447</a>)</p>
Diffusion MRI/ PET Simulation
<p>These data are designed to simulate diffusion-weighted images using Fibrefox, analytical PET simulation with ASIM, and PET image reconstruction with STIR.</p> <p> </p> <p>file description </p> <p>/MRI<br> Fibers.fib: the ground-truth fiber tracks file from Tractography Challenge ISMRM 2015 Data<br> bvals, bvecs: the encoding scheme files for DWI simulation (similar to HCP protocol)<br> t1.mif: the fabricated T1 image<br> dwi.mif: the example DWI file simulated</p> <p>/PET<br> AAL_ROI_upsample: a template phantom file with 3 lesions <br> asim_pipeline.sh: batch code for ASIM simulation<br> AAL_ROI_noisy_2: normalised PET sinogram 1e+08 total count, ready to be reconstructed<br> AAL_ROI_noisy.yaff: normalised PET sinogram 1e+07 total count, ready to be reconstructed<br> AAL_ROI_noisy_2.yhdr: ASIM header file<br> OSEM_m962,par hdr_E_m962.hs: header files for STIR reconstruction with OSMAPOSL</p>
Dataset and codes for "Direct and indirect effects of pets on the health of older adults"
<p>Dataset, codes and supplementary material for "<strong>Direct and indirect effects of pets on the health of older adults"</strong></p> <p>Life expectancy emphasizes the importance of adapting to and adopting new measures that will benefit healthy aging. A promising lead is the potential benefits of pets for older adults in their homes. This study aimed to test the influence of socio-demographic and environmental factors on the presence of dogs and cats around older adults. The direct and indirect effects of pets, using sociality and mobility factors, were tested on health variables. The social cohesion of a community and type of dwelling appeared to be related to the presence of pets. In addition, the results showed mixed effects of pets, namely a positive influence on mental health via the social network of older adults, and a negative influence in the form creation of a certain stress. In general, the effects of pets on the lives of older adults constitute an important research framework to pursue in the context of healthy aging.</p>
Rating results obtained during a review of original articles on radiomics and machine learning for outcome prediction based on PET
<p>This upload provides Open Data associated with the publication "Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET)" by Rogasch JMM <em>et al.</em> (2023).</p> <p>The upload contains the item-by-item results of rating for all criteria and all 100 original articles. PubMed IDs are also included.</p> <p>Furthermore, a description of all variable names and how the rating categories were encoded in the data tables can be found in the PDF file "ML_prediction_Dictionary_2023_08_27.pdf".</p>
Real-world human-robot interaction data with robotic pets in user homes in the United States and South Korea
<p>Socially-assistive robots (SARs) hold significant potential to transform the management of chronic healthcare conditions (e.g. diabetes, Alzheimer's, dementia) outside the clinic walls. However doing so entails embedding such autonomous robots into people's daily lives and home living environments, which are deeply shaped by the cultural and geographic locations within which they are situated. That begs the question of whether we can design autonomous interactive behaviors between SARs and humans based on universal machine learning (ML) and deep learning (DL) models of robotic sensor data that would work across such diverse environments. To investigate this, we conducted a long-term user study with 26 participants across two diverse locations (the United States and South Korea) with SARs deployed in each user's home for several weeks. We collected robotic sensor data every second of every day, combined with sophisticated ecological momentary assessment (EMA) sampling techniques, to generate a large-scale dataset of over 270 million data points representing 173 hours of randomly-sampled naturalistic interaction data between the human and robot pet. Interaction behaviors included activities like playing, petting, talking, cooking, etc.</p>
Examples of PET tracers synthesized via arene C-H radiofluorination (A) Maximum intensity projection (MIP) PET images of [18F]Fenoprofen (42) demonstrate higher uptake in TPA-treated mouse ear
<p>Examples of PET tracers synthesized via arene C-H radiofluorination (A) Maximum intensity projection (MIP) PET images of [18F]Fenoprofen (42) demonstrate higher uptake in TPA-treated mouse ear (A-1) compared with control (A-2) mouse ear. (B) PET/CT images demonstrate preferential tumor (MCF-7) accumulation of 39, compared with longer blood circulation and higher non-specific binding of 41 at 1 hour post-injection. (C) Structures of the tracers used in the preceding panels are shown.</p>
Ex vivo [18F]Fenoprofen PET imaging
<p>Coronal slice, maximum intensity projection (MIP) static PET image, and CT image of representative TPA-treated ear (A, C and E) or normal ear (B, D and F) harvested from the mice injected intravenously with [<sup>18</sup>F]Fenoprofen. (G) Dynamic PET time-activity curve (tac) of organ ROIs in nude mice injected with a rapid intravenous bolus of [<sup>18</sup>F]Fenoprofen, imaged for 30 minutes post-injection. (H) Uptake of [<sup>18</sup>F]Fenoprofen in TPA-treated or normal ear measured by ROIs hand-drawn on static <em>ex vivo</em> PET images. (I) Uptake of [<sup>18</sup>F]Fenoprofen in TPA-treated or normal ear measured by gamma counting.</p>
F-18 Fluorothymidine PET Imaging for Early Evaluation of Response to Therapy in Head & Neck Cancer Patients
ClinicalTrials.gov study NCT00721799. IPD Sharing: NO. Countries: 1. Publications: 3.
Datasets and code for manuscript: Age, breed, sex, and diet influence serum metabolite profiles of 2000 pet dogs
Open the record for dataset details and reuse information.
Home and hub: pet trade and traditional medicine impact reptile populations in source locations and destinations
Open the record for dataset details and reuse information.
Real-world human-robot interaction data with robotic pets in user homes in the United States and South Korea
Open the record for dataset details and reuse information.
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.