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390 results for “template”
Spreadsheet Template for Arthropod Trophic Ecology
<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.13320943">Arthropod Trophic Ecology Data</a></p>
Spreadsheet Template for Habitat Data for Aquatic Invertebrates
<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.13320933">Habitat data for aquatic invertebrates</a></p>
Spreadsheet Template for Invertebrate Phenology
<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.13320929">Invertebrate Phenology</a></p>
Spreadsheet Template for Habitat Data for Fungi
<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.13320905">Habitat data for fungi</a></p>
UNIC JSON template for uploading the individual files of aligned corpus data
<p>A ZIP of JSON files is needed to upload aligned corpus data to UNIC, with each file structured as the template. Please reach out to unic@dipintra.it for assistance. </p>
Tractography Templates for White Matter Microstructure Analysis in Aging and Alzheimer's Disease
<p>This dataset contains tractography templates derived from several studies focused on white matter microstructure and its associations with neurodegenerative diseases, particularly Alzheimer's disease and Parkinsonism. These templates span key tracts relevant to both cognitive decline and motor function, including but not limited to the medial temporal lobe white matter, transcallosal fibers, sensorimotor tracts, and the fornix. The templates were developed and validated using advanced diffusion MRI techniques across various populations, including aging individuals, dementia patients, and those at risk of neurodegenerative conditions. This resource serves as a valuable tool for researchers investigating the structural integrity of white matter in both health and disease, allowing for cross-study comparability and enhancing the understanding of neurodegenerative processes.</p>
UNIC Templates for alignment files v1.1
<p>The UNIC platform (https://unic.dipintra.it) accepts a ZIP of JSON files for uploading corpus alignments based on the JSON template here. Alternatively, use the spreadsheet template to structure the corpus alignment files and convert the resulting .xlsx files to a ZIP of JSON files using this application at https://huggingface.co/spaces/nannanliu/UNIC_alignment_conversion. </p>
y-band Template Light Curves for RR Lyrae
<p>The y-band light curve templates for both of the ab-type and c-type RR Lyrae were added to the original RRLyr_ugriz_templates.tar.gz (without changing the filename), which is required by the <a href="https://www.astroml.org/gatspy/">gatspy</a> period-search package (when using the template-search method). The original file, without the y-band light curve templates and only contains the ugriz-band light curve templates, is available from the <a href="https://github.com/astroML/astroML-data/tree/main/datasets">astroML data archive</a>.</p> <p>Users who want to use the RR Lyrae light curve templates fitting subroutines from the gatspy package can simply replace this file downloaded from here to the one in the local "astroML_data/Sesar2010" directory, and proceed the usage of gatspy as in other ugriz filters.</p> <p>A paper described the templates in detail was published in <a href="https://iopscience.iop.org/article/10.3847/1538-3881/ad99cf/pdf">AJ,</a> and the preprint is available in <a href="https://arxiv.org/pdf/2412.00644">ArXiV.</a> </p>
IXI025 - IT'IS Template Head Segmentation Repository
<p>The IXI025 head model is based on the IXI dataset (subject 025) and includes a whole head segmentation, surface-based model, anatomical images, diffusion weighted images, and fiducials for 10-10 system.</p>
Video Tutorial for the FAIR SAMPLES Template
<p>This video tutorial with audio contains FAIR WISH expert demonstrations and explanations for using the <em>FAIR SAMPLES Template</em>” of the project <strong>FAIR W</strong>orkflows to establish <strong>I</strong>GSN for <strong>S</strong>amples in the <strong>H</strong>elmholtz Association (FAIR WISH) funded by the Helmholtz Metadata Collaboration (HMC). It is part of Deliverable D3 of work package 3 “<em>Domain-specific metadata for terrestrial and aquatic Geo-Bio samples (vegetation, sediment, water, rocks</em>)”.</p> <p>The ultimate goal of the video tutorial is to instruct users how to use the FAIR SAMPLES Template. The video begins with an introduction to the Helmholtz Metadata Collaboration (HMC), the FAIR WISH project, the International Generic Sample Number (IGSN) and the overall motivation for making samples uniquely identifiable and citable by IGSN assignment. The content then changes to the main part of the tutorial, focussing on the FAIR SAMPLES “Excel” Template, its content and functionalities. In this part, the speaker guides the audience on how to use the template with the different categories of metadata for a sample.</p> <p><a title="The FAIR WISH project" href="https://dataservices-cms.gfz-potsdam.de/samples/the-fair-wish-project">FAIR WISH</a> is a joint project between the Helmholtz Centres GFZ, AWI and Hereon. It was was funded 2022-2023 by the Initiative and Networking Fund of the Helmholtz Association within the <a title="https://helmholtz-metadaten.de/en/projects/hmc-projects-2020" href="https://helmholtz-metadaten.de/en/projects/hmc-projects-2020" target="_blank" rel="noopener noreferrer">HMC Project Cohorte 2020</a> of the <a title="https://helmholtz-metadaten.de/en" href="https://helmholtz-metadaten.de/en" target="_blank" rel="noopener noreferrer">Helmholtz Metadata Collaboration Platform HMC</a>.</p>
TFOM: Generic Facilitation Template
<p>This spreadsheet is based on one created initially to manage "The Future of Meetings" symposium in 2020. It was developed from scratch to help track the various tasks and deadlines associated with managing an online meeting, though it would be useful in hybrid and in-person contexts too. Since then, it has been used in other events TFOM has been associated with, including ICWIP2021, SP21, S4PGxTFOM and the A4E symposium. It has also been improved over time, based on experience with later events.</p> <p>We are uploading it here in case it might be useful to others in terms of tracking your own conferences, meetings and events. We note that this spreadsheet is only indicative in terms of appropriate categories and items to track and expect that people will need to customise or improve it to match their own context better. We have always used it in an online cloud form (since this is the easiest way to manage multiple editors), and so we also make available the original Google sheet version here: <a href="https://docs.google.com/spreadsheets/d/1QwST-ETBYEw4llWZjtcv8za2hziweFIB8K84b4HKUYE/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1QwST-ETBYEw4llWZjtcv8za2hziweFIB8K84b4HKUYE/edit?usp=sharing</a></p> <p>We welcome feedback on the spreadsheet and any possible suggestions for improvement: <a href="https://twitter.com/futuremeetings">https://twitter.com/futuremeetings</a></p>
Experimental and Simulation Data for "Hierarchical structure formation by crystal growth-front instabilities during ice templating" (2023) PNAS
<pre>Experimental and Simulation Data for: "Hierarchical structure formation by crystal growth-front instabilities during ice templating" by Kaiyang Yin, Kaihua Ji, Louise Strutzenberg Littles, Rohit Trivedi, Alain Karma, Ulrike G.K. Wegst (2023) PNAS, DOI: 10.1073/pnas.2210242120. </pre>
Trinidad Zone 2008-2022 Template-Detected Earthquake Catalog & 2011-2012 Aftershock Array Catalog
<p>This dataset contains two earthquake catalogs for the Trinidad zone in the Raton Basin on the Colorado-New Mexico, USA border. The excel spreadsheet has three tabs and each has a descriptor. The "aftershock_catalog" tab is an earthquake catalog following the 2011 Mw 5.3 mainshock earthquake in the Trinidad zone. It spans from August 2011 to May 2012. The "template" tab contains the earthquakes used as templates for the template-detection earthquake catalog. The "template_detected_catalog" is an earthquake catalog spanning May 30, 2008 to April 1, 2022 built using Transportable Array seismometer T25A.</p>
Figure 2 in Revisiting the ideas of trees as templates and the competition paradigm in pairwise analyses of ground-dwelling ant species occurrences in a tropical forest
Figure 2 Presence probabilities of ant species in each tree species only for those one involved in nonrandom pairs for the two sampling techniques and seasons. PR: pitfall,rainy season; PD: pitfall, dry season; WR: Winkler, rainy season; WD: Winkler, dry season. GG= Guarea guidonia; IE= Inga edulis; NM= Nectandra membranacea; PG= Piptadenia gonoachanta.
Data and code from: Prey detection by a stepwise visual template matching mechanism
Open the record for dataset details and reuse information.
PROSEU Collective Renewable Energy Prosumers Database (Template)
<p>As part of work package nº2 of the H2020 PROSEU project, which aimed to establish a baseline review and characterisation of renewable energy sources (RES) prosumer (self-consumption) initiatives across Europe, databases identifying the diversity of collective forms of RES prosumers and related stakeholders were built by the project partners using the templates and respective variables presented here (English language). The databases served to create a stratified sample of RES prosumer initiatives for purposes of a survey, as well as distinguish them from other stakeholders in the field.</p>
All Luminosity Templates Associated with "Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates"
<p>Zip files for the luminosity normalized individual stellar templates, and all combinations of SB2 templates. The templates are in fits format. The first table extension contains the template (wavelength, luminosity, variance, error). These luminosity templates have units of erg /s /angstrom.</p>
Dataset for: Generation of model tissues with dendritic vascular networks via sacrificial laser-sintered carbohydrate templates
<p>Published in:<br> Nature Biomedical Engineering. doi: 10.1038/s41551-020-0566-1.</p> <p>Generation of model tissues with dendritic vascular networks via sacrificial laser-sintered carbohydrate templates</p> <p>Ian S. Kinstlinger (1), Sarah H. Saxton (2), Gisele A. Calderon (1), Karen Vasquez Ruiz (1), David R. Yalacki (1), Palvasha R. Deme (1), Jessica E. Rosenkrantz (3), Jesse D. Louis-Rosenberg (3), Fredrik Johansson (2), Kevin D. Janson (1), Daniel W. Sazer (1), Saarang S. Panchavati (1), Karl-Dimiter Bissig (4), Kelly R. Stevens (2,5), and Jordan S. Miller (1)</p> <p>1 Department of Bioengineering, Rice University, Houston, TX, USA.<br> 2 Department of Bioengineering, University of Washington, Seattle, WA, USA.<br> 3 Nervous System, Palenville, NY, USA.<br> 4 Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.<br> 5 Department of Pathology, University of Washington, Seattle, WA, USA</p> <p>Sacrificial templates for patterning perfusable vascular networks in engineered tissues have been constrained in architectural complexity, owing to the limitations of extrusion-based 3D-printing techniques. Here we show that cell-laden hydrogels can be patterned with algorithmically generated dendritic vessel networks and other complex hierarchical networks by using sacrificial templates made from laser-sintered carbohydrate powders. We quantified and modulated gradients of cell proliferation and cell metabolism emerging as a result of fluid convection through these networks and of diffusion of oxygen and metabolites out of them. We also show scalable strategies for the fabrication, perfusion culture and volumetric analysis of large tissue-like constructs with complex and heterogeneous internal vascular architectures. Perfusable dendritic networks in cell-laden hydrogels may help sustain thick and densely cellularized engineered tissues, and assist interrogations of the interplay between mass transport and tissue function.</p>
Diabetes-fact template with checklists to study Deaf people's understanding about diabetes
<p>This dataset contains 1) the template developed for analyzing Deaf respondent's understanding of diabetes, 2) the respondents' answers fit into the template, and 3) analyses on the respondents' answers in different topics.</p>
Performance of virtual screening against GPCR homology models: Impact of template selection and treatment of binding site plasticity
<p>Rational drug design for G protein-coupled receptors (GPCRs) is limited by the small number of available atomic resolution structures. We assessed the use of homology modeling to predict the structures of two therapeutically relevant GPCRs and strategies to improve the performance of virtual screening against modeled binding sites. Homology models of the D<sub>2</sub> dopamine (D<sub>2</sub>R) and serotonin 5-HT<sub>2A</sub> receptors (5-HT<sub>2A</sub>R) were generated based on crystal structures of 16 different GPCRs. Comparison of the homology models to D<sub>2</sub>R and 5-HT<sub>2A</sub>R crystal structures showed that accurate predictions could be obtained, but not necessarily using the most closely related template. Assessment of virtual screening performance was based on molecular docking of ligands and decoys. The results demonstrated that several templates and multiple models based on each of these must be evaluated to identify the optimal binding site structure. Models based on aminergic GPCRs displayed ligand enrichment and there was a trend toward improved virtual screening performance with increasing binding site accuracy. The best models even displayed ligand enrichment better than that of the D<sub>2</sub>R and 5-HT<sub>2A</sub>R crystal structures. Methods to consider binding site plasticity were explored to further improve predictions. Molecular docking to ensembles of structures did not outperform the best individual binding site models, but could increase the diversity of hits from virtual screens and be advantageous for GPCR targets with few known ligands. Molecular dynamics refinement resulted in moderate improvements of structural accuracy and the virtual screening performance of snapshots was either comparable to or worse than that of the raw homology models. These results provide guidelines for successful application of structure-based ligand discovery using GPCR homology models.</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.