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390 results for “template”
Spreadsheet Template for Trophic Guild Data for Fungi
<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.14646717">Trophic guild data for fungi</a></p>
Spreadsheet Template for Fungi Ecomorphological Trait Data
<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.14647411">Fungi ecomorphological trait data</a></p>
The data for new theoretical Fe II templates for bright quasars
<p>The compressed <strong>'.tar.gz' </strong>files contain new theoretical Fe II templates that can be used for fitting UV to near-IR (1000-10000 Angstrom) spectra of quasars. The templates were developed using the latest Fe II atomic database of <a href="http://doi.org/10.1093/mnras/sty3198">Smyth et al. (2019)</a> within the CLOUDY C23.0 photoionization code with the following set of parameters.</p> <ul> <li>H-ionizing photons flux: <strong>17 ≤ log ΦH (cm−2 s−1) ≤ 22</strong>, and</li> <li>Gas density: <strong>9≤ log nH (cm−3) ≤ 14, </strong></li> <li>Step size: <strong>0.25 </strong>on log scale.</li> <li>A fixed Hydrogen column density: <strong>10^24 cm−2 </strong></li> <li>Abundance: <strong>solar </strong></li> <li>SED shapes:</li> </ul> <p>(1) Standard "<strong>agn.sed</strong>", a continuum similar to <a href="https://ui.adsabs.harvard.edu/abs/1987ApJ...323..456M/abstract/">Mathews & Ferland (1987)</a></p> <p>(2) Intermediate SED of (<a href="https://ui.adsabs.harvard.edu/abs/2012MNRAS.425..907J/abstract/">Jin et al., 2012</a>) </p> <ul> <li>The Fe II template is available for the microturbulence values 0, 20, 50 and 100 km/s.</li> </ul> <p><strong>(Note: The Fe II templates are also available in the GitHub link: </strong><strong>https://github.com/Ashwani-88/Fe2_template)</strong></p> <p>Each <strong>tar.gz</strong> file consists of Fe II templates for different SED shapes. <br><br>For each SED shape;</p> <p>The new Fe II templates are available in the directory "Templates_including_only_total_Fe2". </p> <p>Additionally, we provide templates for the outward and inward Fe II emissions in the directory "Templates_including_outward_Fe2"</p> <p>The directory for Fe II templates for a microturbulence velocity is named as</p> <p>turb_v<em><strong>n</strong></em></p> <p>where<em> <strong>n</strong></em> is the microturbulence velocity in km/s. <br><br>The files within each directory are named as follows:</p> <p><br>phi<em><strong>a</strong></em>_nH<em><strong>b</strong></em>_m<em><strong>c</strong></em>.dat</p> <p>where <strong><em> a</em></strong> = log value of the H-ionizing photon flux in cm−2 s−1,<br><em><strong>b</strong></em> = log value of the Hydrogen gas density in cm−3, and<br><em><strong>c</strong></em> = the value of microturbulence in km/s.</p> <h2><strong>Each template file in ``Templates_including_only_total_Fe2'' has two columns </strong> </h2> <p> <br>First column: wavelength in Angstrom with 2 Angstrom binning <br>Second column: Fe II line intensity (in erg cm-2 s-1 A-1)</p> <h2>Templates in ``Templates_including_outward_Fe2'' has four columns.</h2> <p><br>First column: wavelength in Angstrom with 1000 logarithmic bins, each ~ 584 km/s wide, between 1000 and 7000 Angstrom. <br>Second column: Total Fe II line intensity (in erg cm-2 s-1 A-1) <br>Third column: Inward Fe II line intensity (in erg cm-2 s-1 A-1) <br>Fourth column: Outward Fe II line intensity (in erg cm-2 s-1 A-1) </p> <p>The Fe II line intensity includes a covering factor of 30 % and is scaled for our test object RM 102. </p> <p> </p>
IUCLID templates for PPP Risk Assessment - Template 7.2 - Template for presenting the results of the OECD 106 evaluators checklist
<p>This word file contains the template for <strong>presenting the results of the OECD 106 evaluators checklist</strong>. The template has been draft based on the Technical report on the outcome of the pesticides peer review meeting on the OECD 106 evaluators checklist (EFSA, 2017).<br> The filled-in template shall be pasted in the "<strong>Any other information on results incl. tables</strong> " field of IUCLID document “<strong>Adsorption and desorption in soil</strong>”<strong> </strong>endpoint study record (Section 7.1.3.1 of active substance dataset).</p>
Astrophysical Templates for Crocker, Macias, et al. (2022)
<p>Astrophysical Templates for Crocker & Macias, et al. (2022)</p>
Human Population-Averaged dMRI Templates (FIB Files, NIFTI Files)
<p>The templates were constructed by DSI Studio using q-space diffeomorphic reconstruction.</p> <p>Methods and Data Source: https://brain.labsolver.org/hcp_template.html</p> <p> </p> <p> </p>
The Return of the Templates: Revisiting the Galactic Center Excess with Multi-Messenger Observations
<p>We provide here the galactic diffuse emission maps used in "The Return of the Templates: Revisiting the Galactic Center Excess with Multi-Messenger Observations". </p>
SED templates for "Dwarf AGNs from Variability for the Origins of Seeds (DAVOS): Intermediate-mass black hole demographics from optical synoptic surveys"
<p>FITS file containing the pre-computed grid of Done or Nemmen model SEDs. See Table 2 in the publication for details.</p>
Near-Infrared Spectral Templates of L Dwarfs
<p>As described in <em>Meeting the Cool Neighbors XII: An Optically-Anchored Analysis of the Near-Infrared Spectra of L Dwarfs</em> (Cruz et. al.), we have combined the NIR spectra of objects of the same optical spectral type to make NIR spectral average templates for field and low-gravity L dwarfs at each integer spectral type, in the range L0–L8. As more optical and/or NIR data are collected for L dwarfs, the templates could potentially be updated. In anticipation of this, we dub the templates presented here version 1.0.</p> <p>The naming convention of the ascii files is the following:</p> <p>Spectral type + Band + Gravity<br> <br> Gravity can be <br> 'f' (field objects) or <br> 'b' ({beta}-type low-gravity objects) or <br> 'g' ({gamma}-type very low-gravity objects)<br> <br> Example: L1H_f.txt is the template for the H band of the field L1 objects.<br> <br> Columns are:<br> 1. Wavelength in microns<br> 2. Average normalized flux<br> 3. Normalized flux standard deviation<br> 4. Min normalized flux<br> 5. Max normalized flux <br> The last two columns define the range of the strip at each wavelength.<br> <br> The files are formatted according to the machine readable format used by the AAS Journals and CDS/VizieR. The files can be read in python using the astropy package:<br> <br> from astropy.table import Table<br> data = Table.read("L1H_f.dat", format="ascii.cds")</p>
(a) template function
<p>In this tutorial, self-organization mechanisms are described in natural systems<br> and are used to design algorithms for distributed computing. Applications<br> on ecosytems or urban dynamics modeling are presented. A processus<br> to distribute decentralized simulations from its communication graph is also<br> presented. Standard algorithms extensions need to achieve these processes or<br> simulations are developed. The decentralized approaches, inherent to these<br> bio-inspired algorithms, allow to extend them, respecting the complexity of<br> the phenomena to model.</p>
FH7_FRACTESUS CT-0.16T test template
<div>Fractesus project. Fracture test mini-CT. Raw data 15Kh2MFAA. MTA-EK. </div> <div> <div> <p> </p> </div> </div>
Template for HFLAV results in Zenodo
The data corresponding to a specific release of results from HFLAV
Crystal Templates for BindingNet v2 Dataset
Open the record for dataset details and reuse information.
Best-fit SED templates of each CAMIRA member galaxy (Table 3)
<p>This upload includes individual SED templates as described in Table 3 of the related manuscript, "<em>Active Galactic Nucleus Properties of ~1 Million Member Galaxies of Galaxy Groups and Clusters at z < 1.4 Based on the Subaru Hyper Suprime-Cam Survey</em>", by Yoshiki Toba et al., published in the Astrophysical Journal (Accepted: 15-Feb-2024; published: 17-May-2024, doi:<a href="https://doi.org/10.3847/1538-4357/ad32c6">10.3847/1538-4357/ad32c6</a>).</p> <p>This archive is compressed with xz, part of <a href="https://github.com/tukaani-project/xz">XZ Utils</a>. </p> <p>A description of these files is given below.</p> <p>The "ID" field is captured in the file naming in the compressed archive:</p> <ul> <li> <p>1_SED.eps [EPS plot of SED, SED fit, for Object ID = 1]</p> </li> <li> <p>1_SED_data.fits [Binary Table FITS (HDU=1) where the contents of HDU=1 are given in the table below]</p> </li> </ul> <p> </p> <table> <tbody> <tr> <td> <div> <div> <div> <p>Column name</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>Format</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>Unit</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>Description</p> </div> </div> </div> </td> </tr> <tr> <td> <div> <div> <div> <p>Wavelength</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>DOUBLE</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>μm</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>Wavelength (observed frame)</p> </div> </div> </div> </td> </tr> <tr> <td> <div> <div> <div> <p>FNU</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>DOUBLE</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>mJy</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>Flux density at each wavelength</p> </div> </div> </div> </td> </tr> <tr> <td> <div> <div> <div> <p>log_L</p> </div> </div> </div> </td> <td> <div> <div> <div> <p>DOUBLE</p> </div> </div> </div> </td> <td>erg/s</td> <td> <div> <div> <div> <p>Luminosity at each wavelength</p> </div> </div> </div> </td> </tr> </tbody> </table> <p> </p> <p> </p>
Template matching catalog of the seismicity induced by hydraulic fracturing operations at Preston New Road (UK) in 2019
<p>The file PNR2_TMcatalog.csv contains the catalog of seismicity induced by the hydraulic fracturing operations carried out at Preston New Road (UK) in 2019. The catalog was created with template matching using a single downhole sensor located in a monitoring well.</p> <p>Here is the description of the columns found in the file:</p> <ul> <li>ARRTIME: P-wave arrival times at the reference station.</li> <li>X, Y, Z: hypocentral coordinates (easting, northing and depth). Northing and easting are expressed in the United Kingdom Ordnance Survey coordinate system (EPSG:27700). Depth is expressed in meters below sea level.</li> <li>MW: moment magnitudes.</li> <li>CLUSTER: cluster ID. Earthquakes with the same cluster ID were detected by the same template.</li> </ul>
Dataset: Molecular Templates, Inc. (MTEM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 2 Landmark templates for representative a lateral and b in Revision of the genus complex Gibbula: an integrative approach to delineating the Eastern Mediterranean genera Gibbula Risso, 1826, Steromphala Gray, 1847, and Phorcus Risso, 1826 using DNA-barcoding and geometric morphometrics (Vetigastropoda, Trochoidea)
Fig. 2 Landmark templates for representative a lateral and b ventral standardised views. Filled circles show fixed landmarks. Empty circles show semilandmarks, processed as sliding landmarks
Students' perceptions and attitudes towards science in PERFORM: Survey template
<p>This document contains the survey instrument developed to measure the impact of the PERFORM project RRI approach in students’ attitudes and pro-scientific behaviour and learning. It was a self-administered questionnaire combining close-ended with some open-ended qüestions. It was handled to students before and after the development of PERFORM participatory workshops to the participant students and a control group in order to:</p> <ul> <li>Obtain basic demographic data (those compatible with PERFORM ethical guidelines)</li> <li>Explore initial attitudes and perceptions towards science and STEM careers, with an emphasis on RRI-related dimensions (gender stereotypes, ethical issues, inclusiveness, engagement and critical/creative thinking) and potential changes after the implementation of participative performances (PERSEIAS in PERFORM jergon)</li> <li>Explore participants’ perceptions towards the PERSEIAS process, also as an input to inform the design of focus groups</li> </ul>
Video tutorial for Multi-Template-Matching implementation in Fiji and KNIME
<p>Set of tutorial videos on how to use Multi-Template-Matching as implemented in Fiji and KNIME by Thomas LSV and Gehrig J.</p> <p>Test datasets are also available on Zenodo</p> <p>Contact: l.thomas(at)acquifer.de, j.gehrig(at)acquifer.de</p>
Data Template for exchanging information between Decision Making System & Simulator
<p>Data Template for exchanging information between Decision Making System & Simulator. Under the prism of optimizing design/production and checking circularity of parts.</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.