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390 results for “template”
SPH-EXA template glass blocks for initial conditions generation
<p>SPH-EXA can use template particle configurations to generate glass-like initial particle distributions of arbitrary size by stacking the template blocks. Unlike regularly spaced grids, glass-like particle arrangements are anisotropic with respect to mean inter-particle distances and prevent certain simulation artifacts, such as the hour-glass effect.</p> <p>The following files were generated with the code released at https://github.com/jdonnert/WVTICs, described here:<br> https://ui.adsabs.harvard.edu/abs/2017MNRAS.471.4587D/abstract</p> <p>50c.h5: 50^3 particles<br> 40c.h5: 40^3 particles<br> 30c.h5: 30^3 particles<br> <br> </p> <p> </p>
A database of the healthy human spinal cord morphometry in the PAM50 template space
<p><strong>About: </strong>This dataset is a collection of tabular files containing normative values of normalized metrics of human spinal cord MRI morphological measurements (cross-sectional area, AP diameter, transverse diameter, compression ratio, eccentricity, and solidity) of 105 male and 98 female participants. Aggregated metrics (for provenance recording) and demographics are also provided.</p><p>Dataset provided for NeuroLibre preprint. Author repo: https://github.com/valosekj/PAM50-normalized-metrics-paper NeuroLibre fork:https://github.com/roboneurolibre/PAM50-normalized-metrics-paper</p><p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/17">NeuroLibre technical screening.</a></p><p><a href="https://neurolibre.org"><strong>https://neurolibre.org</strong></a></p>
Identification of transient seismo-acoustic signals from crashing ocean waves: Template matching and location of discrete surf events
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Programmable liposome organization via DNA origami templates
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CRASHS templates and models
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Selectivity improvement of polysulfone-zeolite templated carbon membrane by annealing and coating treatment for CO2/CH4 and H2/CH4 separation
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Electron microscopy, energy-dispersive X-ray spectroscopy, & X-ray diffraction data from: Duck-billed dinosaur fleshy midline and hooves reveal terrestrial clay-template “mummification”
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Template-specific optimization of NGS genotyping pipelines reveals allele-specific variation in MHC gene expression
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Performance of virtual screening against GPCR homology models: Impact of template selection and treatment of binding site plasticity
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Templates for FAIRness evaluation criteria - RDA-SHARC ig
<p>The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment with the FAIR principles. It takes considerable time, energy, expertise and motivation. It is imperative to facilitate the processes to encourage scientists to share their data. To that aim, supporting FAIR principles compliance processes and increasing the human understanding of FAIRness criteria – i.e., promoting FAIRness literacy – and not only the machine-readability of the criteria, are critical steps in the data sharing process. Appropriate human-understandable criteria must be the first identified in the FAIRness assessment processes and roadmap. This document is a reusable template that aims to support FAIRification assessment with human understandable criteria. The level of compliance for each criterion can be used to prioritise the most appropriate and sufficient training, support and actions.</p>
Template for bundle-specific tractography
<p><strong>Bundle-specific tractography</strong></p> <p>This data is made to be used with the following script: <a href="https://github.com/scilus/scilpy/blob/master/scripts/scil_generate_priors_from_bundle.py">scil_generate_priors_from_bundle.py</a><br> This <a href="https://github.com/scilus/bstflow/">Nextflow pipeline</a> is made to simplify the execution.</p> <p>The script/pipeline and provided dataset are the same used in this publication:</p> <p><em>Rheault, Francois, et al. "Bundle-specific tractography with incorporated anatomical and orientational priors." NeuroImage 186 (2019): 382-398.</em><br> </p>
Multivariate MRI Templates and Myelin Imaging Atlases for Human Brain and Spinal Cord
<p>Multivariate structural MRI templates and quantitative atlases from<br> multi-echo T<sub>2</sub> relaxation (GRASE images, MWF quantitative maps)<br> and steady-state (mcDESPOT/IRSPGR images, fM quantitative maps)<br> myelin water imaging approaches, along with regions of interest generated and analyzed for <em>Myelin imaging in the central nervous system: Comparison of multi-echo T<sub>2</sub> relaxation and steady-state approaches</em></p>
Nanoscale Phase Segregation in Supramolecular π‑Templating for Hybrid Perovskite Photovoltaics from NMR Crystallography
<p>Raw and processed NMR data, molecular dynamics data, structure files, photovoltaic data, and additional characterisation data for Nanoscale Phase Segregation in Supramolecular π‑Templating for Hybrid Perovskite Photovoltaics from NMR Crystallography, DOI: 10.1021/jacs.0c11563. For more details see README file. </p> <p>NMR_data.zip: Raw and processed NMR data in the file structure of the TopSpin software, which is available from Bruker. </p> <p>NMR_calculations.zip: The input and output Quantum Espresso files are given for both the single point (*.scf.in and *.scf.out) and NMR calculations (*.nmr.in and *.nmr.out).</p> <p>cif_files_all_structures.zip: All structures in cif format. </p> <p>MD_*.zip: MD trajectories of (PEA)2PbI4, (FEA)2PbI4 and configuration 1 of (PF)2PbI4. The full trajectories are given in dcd format which can be opened using the VMD software. The trajectories are also shown as movies. </p> <p>PV+characterisation.zip: The data for the photovoltaic analysis, XPS spectra and XRD patterns in Excel format. </p>
Data from: The appropriateness of language found in research consent form templates: a computational linguistic analysis
Background: To facilitate informed consent, consent forms should use language below the grade eight level. Research Ethics Boards (REBs) provide consent form templates to facilitate this goal. Templates with inappropriate language could promote consent forms that participants find difficult to understand. However, a linguistic analysis of templates is lacking. Methods: We reviewed the websites of 124 REBs for their templates. These included English language medical school REBs in Australia/New Zealand (n=23), Canada (n=14), South Africa (n=8), the United Kingdom (n=34), and a geographically-stratified sample from the United States (n=45). Template language was analyzed using Coh-Metrix linguistic software (v.3.0, Memphis, USA). We evaluated the proportion of REBs with five key linguistic outcomes at or below grade eight. Additionally, we compared quantitative readability to the REBs' own readability standards. To determine if the template's country of origin or the presence of a local REB readability standard influenced the linguistic variables, we used a MANOVA model. Results: Of the REBs who provided templates, 0/94 (0%, 95% CI=0-3.9%) provided templates with all linguistic variables at or below the grade eight level. Relaxing the standard to a grade 12 level did not increase this proportion. Further, only 2/22 (9.1%, 95% CI= 2.5-27.8) REBs met their own readability standard. The country of origin (DF= 20, 177.5, F=1.97, p=0.01), but not the presence of an REB-specific standard (DF=5, 84, F=0.73, p=0.60), influenced the linguistic variables. Conclusions: Inappropriate language in templates is an international problem. Templates use words that are long, abstract, and unfamiliar. This could undermine the validity of participant informed consent. REBs should set a policy of screening templates with linguistic software.
Data from: Template for using biological trait groupings when exploring large-scale variation in seafloor multifunctionality
Understanding large-scale spatial variation in ecosystem properties and associated functionality is key for successful conservation of ecosystems. This study provides a template for how to estimate differences in ecosystem functionality over large spatial scales by using groupings of biological traits. We focus on trait groupings that describe three important benthic ecosystem properties, namely bioturbation, community stability and juvenile dispersal. Recognizing that groups of traits interact and are constrained within an organism, we statistically define important functional trait subgroups that describe each ecosystem property. The sub-groups are scored according to their weighted ecological impact to gain an overall estimation of the cumulative expression of each ecosystem property at individual sites. Furthermore, by assigning each property a value relative to its observed maximum, and by summing up the individual property values, we offer an estimate of benthic ecosystem multifunctionality. Based on a spatially extensive benthic data set, we were able to identify coastal areas with high and low potential for the considered benthic ecosystem properties and the measure of ecosystem multifunctionality. Importantly, we show that a large part of the spatial variation in functional trait sub-groups and in benthic ecosystem multifunctionality was explained by environmental change. Our results indicate that through this simplification it is possible to estimate the functionality of the seafloor. Such information is vital in marine spatial planning efforts striving to balance the utilization with the preservation of natural resources.
Template RPP Game Novita Wandasari
<p>Game RPP</p>
FIGURE 9. G. s p e l a e u s n in The first troglobitic Glomeridesmus from Brazil, and a template for a modern taxonomic description of Glomeridesmida (Diplopoda)
FIGURE 9. G. s p e l a e u s n. sp., paratype males, SEM, telopod, posterior view. A: right telopod, podomeres 2–4 (ZFMK Myr0936); B: left telopod, podomeres 2–4 (ISLA 3838); C: right telopod, podomere 2, detail of swollen membranous area (ZFMK Myr0936); D: right telopod, detail of podomere 3 & 4(ZFMK Myr0936). Abbreviations: mem = membranous area; pro = process of podomere 3; roman numerals refer to podomere number. Scale bars: A = 100 µm; B = 100 µm; C = 20 µm; D = 40µm.
FIGURE 6. G. spelaeus n in The first troglobitic Glomeridesmus from Brazil, and a template for a modern taxonomic description of Glomeridesmida (Diplopoda)
FIGURE 6. G. spelaeus n. sp., paratype male (ZFMK Myr0936), SEM, midbody tergite. A: dorsal view; B: lateral view; C: sclerotized knob with setae; D: posterior margin, 'limbus'; E: anterior margin. Abbreviations: ant = anterior; s = (sensorial) seta; str = stria; arrow points to oral side. Scale bars: A = 500 µm; B = 100 µm; C = 10 µm; D = 100 µm; E = 200 µm.
FIGURE 8. G. s p e l a e u s n in The first troglobitic Glomeridesmus from Brazil, and a template for a modern taxonomic description of Glomeridesmida (Diplopoda)
FIGURE 8. G. s p e l a e u s n. sp., paratype males, SEM, telopod, anterior view. A: left telopod with syncoxite and inner horns (ZFMK Myr0936); B: right telopod, podomeres 2–4, (ISLA 3838); C: right telopod, podomere 2, detail of swollen membranous area (ZFMK Myr0936). Abbreviations: IH = inner horns; mem = membranous area; roman numerals refer to podomere number. Scale bars: A = 300 µm; B = 30 µm; C = 50 µm.
FIGURE 5. G. spelaeus n in The first troglobitic Glomeridesmus from Brazil, and a template for a modern taxonomic description of Glomeridesmida (Diplopoda)
FIGURE 5. G. spelaeus n. sp., paratype male (ZFMK Myr0936), SEM. A: right male leg 2, posterior view; B: gonopore; C: tarsus 2 with tarsal claw, apical spine and paranychium; D: midbody tergite, underside; E: detail of anterior margin of underside; F: detail of posterior margin of underside, 'endotergum'. Abbreviations: Apo = tracheal apodeme; Cx-St = coxosternite; F = femur; Go = gonopore; Par = paranychium; poF = postfemur; prF = prefemur; Ta = tarsus; Ti = Tibia. Scale bars: A = 300 µm; B = 30 µm; C = 60 µm; D = 200 µm; E = 20 µm; F = 8 µm.
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.