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464 results for “high density”
Experimental dataset: stereo-DIC experiment on uniaxially loaded, S-Shaped, high density polyethylene test sample
<p>Stereo-DIC experiments were performed on uniaxially loaded, s-shaped, high-density polyethylene test sample. 100 stationary images of unloaded test sample were taken for evaluation of DIC noise floor. Stereo calibration image dataset, involving a calibration target with rectangular grid (12 by 9 and pitch of 10 mm), is also made available. Tensile load from the test bench load-cell sampled at each moment an image is captured is available. </p>
Transient test on laboratory high-density polyethylene pipeline
<p>The file includes pressure signals acquired at three measurement sections during a transient test on a homogeneous high-density polyethylene pipeline installed at the Water Engineering Laboratory (WEL) of the University of Perugia. The sampling frequency was 2048 Hz.</p>
A High-Density Land cover Validation dataset in Xinjiang—HDLV-XJ
<p>A 2020 High-Density Land cover Validation dataset in Xinjiang. To ensure a sufficient number of samples in complex areas and to position appropriate sampling points in homogeneous and heterogeneous areas, the equal-area stratified random sampling method based on multiple indicators was utilized. </p><p>The HDLV_XJ includes 20,932 validation samples. It considerably higher sample numbers for each land cover type compared to the other datasets.The HDLV-XJ provides representative validation data with sufficient samples for rare categories, enabling a more accurate assessment of the accuracy of land cover products in the Xinjiang. We provide an xls file of this validation dataset and the code used in constructing the dataset.</p><p> </p>
Data for: Interplay of abiotic conditions, density, and body size in shaping demography in a high-elevation toad population
<p>This dataset is used to estimate vital rates of a common toad (<em>Bufo bufo</em>) alpine population, and how they are associated with either abiotic (environmental conditions), biotic (in our case population size), and individual factors (body size). We have individual capture histories for the period 1993-2020 for 1615 males and 933 females, as well as body size measurements taken during capture events. For more info about the study system see: https://peercommunityjournal.org/articles/10.24072/pcjournal.240/</p> <p>We run a capture-mark-recapture model coupled with a growth model, the latter to obtain information on body size for the years when the individuals were not captured. Aside from sex-specific survival, we estimate female breeding probability, since they show intermittent breeding. We include as covariates for these vital rates the length of the active season, the temperature at emergence from hibernation, population size, and body size. </p> <p>We obtained climatic data for the period 1980–2020 from the DaymetCH dataset (data obtained from Bioclimatic maps of Switzerland © WSL, based on station data from the Federal Office of Meteorology and Climatology MeteoSwiss, and elaborated by the Land Change Science group, WSL).</p> <p>The README file further describes each uploaded file</p>
Dataset for "Enhanced charge density wave coherence in a light-quenched high temperature superconductor"
<p>Dataset for "Enhanced charge density wave coherence in a light-quenched high temperature superconductor"</p>
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925). in Muridae
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925).
Dataset_Ultrasound guided hip injections with high density hyaluronic acid: outcome at one year follow up.
<p><span>The ultrasound-guided viscosupplementation of the hip joint with hyaluronic acid (HA) is considered a standard procedure among the conservative treatments for hip arthritis. The aim of this study was to evaluate the clinical benefit and the incidence of adverse events of the technique in an observational study at one year follow up. Methods:<span>We</span><strong><span> </span></strong><span>evaluated a consecutive series of 85 patients with a diagnosis of symptomatic arthritis who underwent intra-articular ultrasound-guided hyaluronic acid injections. The scales used for evaluation were </span></span><span>modified Harris Hip Score (mHHS), WOMAC</span><span>, and </span><span>Hip Outcome Score (HOS) with subscale Sport (HOSs), for pain the Visual Analogic Scale (VAS). The patients were classified according to Tonnis’ radiological classification of arthritis (range 0–3): 20 patients (grade 0), 32 (grade 1), 18 (grade 2), 15 (grade 3). Results:At last follow up, all the scales</span><span> increased: mHHS from 59.35 to 82.1, HOS from 69.45 to 78.53, HOss from 47.4 to 58.11, VAS from 6.09 to 3.97, WOMAC from 33.2 to 31.5 (<em>p </em><<em> </em>0.05 for all the parameters); the results were elaborated with GraphPad Prism v5.0 (Prism Software La Jolla, CA, USA) using Wilcoxon’s test. A total of </span><span>13 patients out of 85 needed arthroplasty, all classified as Tonnis grade 3.</span><span> No serious adverse events were noted due to the procedure.Conclusion:</span><span> <span>Based</span><strong> </strong>on our findings, indication for the use of hyaluronic acid is limited to patients with mild to moderate arthritis. Patients in advanced arthritis refusing replacement surgery and asking for this treatment should be informed about the poor results of the technique even in the short term.</span></p>
Inhomogeneous high temperature melting and decoupling of charge density waves in spin-triplet superconductor UTe2
Open the record for dataset details and reuse information.
Unveiling a Common Phase Transition Pathway of High-Density Amorphous Ices through Time-Resolved X-ray Scattering
<p>XFEL Pump-Probe experiments on VHDA.</p> <p><strong><span>DOI: 10.1063/5.0216904</span></strong></p> <p>The data that support the findings of this study are available here.</p> <p> </p>
High Density Sheep Genotypes used for Aseasonal GWAS
<p>Illumina Ovine HD genotypes of 257 ewes used for an out of season lambing GWAS</p>
Data used in the publication "High Energy Emissions induced by air density fluctuations of discharges"
<p>This data was used to generate the Figures in the publication "High Energy Emissions induced by air density fluctuations of discharges".</p>
Files for "Ocellaris: a discontinuous Galerkin finite element solver for two-phase flows with high density differences"
<p>Input files and scripts sufficient to reproduce the results shown in the paper "Ocellaris: a discontinuous Galerkin finite element solver for high density ratio two phase flows".</p> <p>A version of Ocellaris similar to version 2019.0.1 was used and all results should be reproducible by this version of Ocellaris. See <a href="https://bitbucket.org/ocellarisproject/ocellaris/">the Ocellaris source code repository</a>, <a href="https://pypi.org/project/ocellaris/2019.0.1/">Ocellaris 2019.0.1 on PyPi</a>, or DOI <a href="https://zenodo.org/record/2558303">10.5281/zenodo.2558303</a>.</p> <p>The Ocellaris user guide can be found at <a href="https://www.ocellaris.org">www.ocellaris.org</a> and it includes guides to how to run Ocellaris in Singularity or Docker containers for ease of installation and testing. Containers for Ocellaris 2019.0.0 are available, for Docker run:</p> <pre><code class="language-bash"># On the host machine: docker run -it trlandet/fenics-dev:2018.1.0.r3 # Inside the Docker container pip3 install ocellaris==2019.0.1 --user </code></pre> <p> </p>
Data from: Single-nucleotide polymorphism discovery and validation in high-density SNP array for genetic analysis in European white oaks
An Illumina Infinium SNP genotyping array was constructed for European white oaks. Six individuals of Quercus petraea and Q. robur were considered for SNP discovery using both previously obtained Sanger sequences across 676 gene regions (1371 in vitro SNPs) and Roche 454 technology sequences from 5112 contigs (6542 putative in silico SNPs). The 7913 SNPs were genotyped across the six parental individuals, full-sib progenies (one within each species and two interspecific crosses between Q. petraea and Q. robur) and three natural populations from south-western France that included two additional interfertile white oak species (Q. pubescens and Q. pyrenaica). The genotyping success rate in mapping populations was 80.4% overall and 72.4% for polymorphic SNPs. In natural populations, these figures were lower (54.8% and 51.9%, respectively). Illumina genotype clusters with compression (shift of clusters on the normalized x-axis) were detected in ~25% of the successfully genotyped SNPs and may be due to the presence of paralogues. Compressed clusters were significantly more frequent for SNPs showing a priori incorrect Illumina genotypes, suggesting that they should be considered with caution or discarded. Altogether, these results show a high experimental error rate for the Infinium array (between 15% and 20% of SNPs potentially unreliable and 10% when excluding all compressed clusters), and recommendations are proposed when applying this type of high-throughput technique. Finally, results on diversity levels and shared polymorphisms across targeted white oaks and more distant species of the Quercus genus are discussed, and perspectives for future comparative studies are proposed.
Figure 3 in A snapshot of a high density seahorse population in a tropical rocky reef
Figure 3. Population parameters of the seahorse H. reidi at all eight sites around Guaíba Island, Mangaratiba, RJ: (a) operational sex ratio; (b) mean heights (cm) and standard deviations; (c) depth (m).
Figure 2 in A snapshot of a high density seahorse population in a tropical rocky reef
Figure 2. Density (ind m−2) of the seahorse H. reidi at all eight sites around Guaíba Island, Mangaratiba, RJ.
Figure 4 in A snapshot of a high density seahorse population in a tropical rocky reef
Figure 4. Frequency of occurrence of the seahorse H. reidi in different holdfasts in Guaíba Island, Mangaratiba, RJ.
FIGURES 1–2 in High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis.
FIGURES 1–2. Helichus cordubensis: 1, male genitalia, ventral view; 2, lateral view of same. Locality of specimen used for the illustration: "Alta Gracia, La Granja. Sierra de Córdoba, Cordoba province, Argentina".
A highly accurate and constrained density functional obtained with differentiable programming
<p>Set of data and codes needed to reproduce the manuscript : "A highly accurate and constrained density functional obtained with differentiable programming"</p>
Rabbit spotlight counts are a better index of population density when density is high
<p>Context: The management of the European rabbit is of strong interest to land managers. However, rabbits can be difficult to detect due to being nocturnal and living in dense vegetation or burrows. Consequently, rabbit spotlight counts are frequently used as an index of their density, but they are generally not expected to accurately reflect their true density. Indices place paramount importance on the precision of the estimator, which is directly driven by variability in individual estimates.</p> <p>Aims: To investigate how the variability of rabbit spotlight counts changes with the number of rabbits counted, repeated counts, and environmental variables.</p> <p>Key results: We identified a significant negative association between the number of rabbits counted and count variability; spotlight counts as an index of rabbit density have greater statistical power and are more likely to detect similar proportional differences in density when density is high compared to when density is low. We did not find any effects of rainfall, temperature, cloud cover, wind strength, season or additional consecutive spotlight count nights on count variability.</p> <p>Conclusions: Despite our comparatively large dataset, our results contrasted those of several previous studies; this suggests that many of the environmental factors that have previously been shown to impact rabbit activity or spotlight counts likely have small effects in reality.</p> <p>Implications: Appreciating and recognising that spotlight counts are less likely to accurately detect or reflect changes in population size when rabbit numbers are low is critical to their effective use.</p>
High-resolution emission density dataset from on-road mobile source in Hong Kong
<p>This dataset provides the detailed emission density (g/m) of NOx, CO, CO2, PMs, NMVOC, and CH4 on each road segment in Hong Kong. </p>
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.