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392 results for “tutorial”

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zenodo28/100

Input for QCxMS prediction tutorial

<p>Input table for QCxMS prediction tutorial available on Galaxy Training Network.&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo28/100

Clay tutorial videos

<p>Clay tutorial videos</p>

opencc-by-4.0Aug 2024View details →
zenodo28/100

SCimilarity Tutorial Data

<p>SCimilarity is a unifying representation of single-cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training. This enables a novel cell search capability, which sifts through millions of profiles to find cells similar to a query cell state and allows researchers to quickly and systematically leverage massive public scRNA-seq atlases to learn about a cell state of interest.</p> <p>This repository contains public datasets for SCimilarity tutorials, specifically:</p> <ol> <li>A subsample of single-cell data from Adams, et al. Science Advances, 2020 (GSE136831) as an AnnData object in&nbsp;h5ad format.</li> </ol> <p>&nbsp;</p> <p><strong>Terms of&nbsp;GSE136831:</strong></p> <p><em>Used with permission. Research developed by TLC4PF and the Yale School of Medicine led by Dr. Naftali Kaminski. &copy; 2023 Pulmonary Fibrosis Cell Atlas website and associated content. All rights reserved. Please see the project website for more information:&nbsp;www.IPFCellAtlas.com</em></p> <p><em>In addition, please cite (https://www.science.org/doi/10.1126/sciadv.aba1983&nbsp;&nbsp;and for a description of the website creation methodology please cite (https://doi.org/10.1152/ajplung.00451.2020).</em></p>

openother-atAug 2023View details →
zenodo28/100

AnnData set for single cell analysis tutorial

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo28/100

Sample datasets for E. coli C-1 genome assembly tutorial

<p>The dataset contains three files:</p> <ol> <li>Illumina_f.fq - forward reads from MiSeq run</li> <li>Illumina_r_fq - reverse reads from MiSeq run</li> <li>minion_2d.fq - Oxford Nanopore 2d reads</li> </ol> <p>Sequencing was done on genomic DNA of E. coli strain C-1 obtained from Yale Stock Center.</p>

opencc-by-4.0Sep 2017View details →
zenodo28/100

pypsa-earth_tutorial_networks_zip

<p>unsolved and solved networks for pypsa-earth tutorial config</p>

opencc-by-4.0Oct 2022View details →
zenodo28/100

OpenFWI Tutorial Pretrained Model and Figure

<p>OpenFWI Tutorial Pretrained Model and Figure</p>

opencc-by-4.0Nov 2022View details →
zenodo28/100

Datasets for MuSiC Compare Tutorial

<p>These datasets are used for the MuSiC compare tutorial in Galaxy.</p>

opencc-by-4.0Nov 2022View details →
zenodo28/100

Datasets for Deconvolution with MuSiC Tutorial

<p>These datasets are used in the MuSiC deconvolution tutorial in Galaxy. They were retrieved from the EBI&#39;s Array Express platform, originally published by:</p> <p>Segerstolpe &Aring;, Palasantza A, Eliasson P, Andersson EM, Andr&eacute;asson AC, Sun X, Picelli S, Sabirsh A, Clausen M, Bjursell MK, Smith DM, Kasper M, &Auml;mm&auml;l&auml; C, Sandberg R. Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes. Cell Metab. 2016 Oct 11;24(4):593-607. doi: 10.1016/j.cmet.2016.08.020. Epub 2016 Sep 22. PMID: 27667667; PMCID: PMC5069352.</p>

opencc-by-4.0Nov 2022View details →
zenodo28/100

Datasets for MuSiC Deconvolution benchmarking tutorial suite.

<p>These are the datasets for the MuSiC deconvolution benchmarking tutorial suite.</p>

opencc-by-4.0Nov 2022View details →
zenodo28/100

Data files for an RNA-Seq Tutorial

<p>These files&nbsp;go with a short transcriptomics (RNA-Seq) tutorial that I am preparing for an undergraduate level tutorial. &nbsp;The data analysis will be on a <a href="https://galaxyproject.org">Galaxy</a> server. I&#39;ll update the description with a link to the tutorial text when its ready.</p> <p>These data are a subset of those published by&nbsp;O&rsquo;Connell R, Thon M et al. 2012. Lifestyle transitions in plant pathogenic&nbsp;<em>Colletotrichum</em>&nbsp;fungi defined by genome and transcriptome analyses. Nature Genetics. 44:1060&ndash;1065.</p>

opencc-by-4.0Mar 2023View details →
zenodo28/100

solvent tutorial csc spring school 2023

<p>Input and output files tutorial solvent used in CSC spring school 26 April 2023</p>

opencc-by-4.0Apr 2023View details →
zenodo28/100

Pretrained model for tutorial from: "PartSeg v2: Bioimage segmentation using advanced Deep Learning techniques"

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →
zenodo28/100

GSI Tutorial associated data

<p>This record includes the two main datasets necessary to run the GSI tutorial presented <a href="https://paocorrales.github.io/DA-documentation/content/gsi/05-tutorial.html" target="_blank" rel="noopener">here</a>:</p> <p><strong>GUESS</strong></p> <p>The 10-member ensemble background files generated using the WRF-ARW numerical model for a regional domain centered in the center and northern Argentina. For more information about the model configuration see&nbsp;<a href="https://doi.org/10.1016/j.atmosres.2022.106456">https://doi.org/10.1016/j.atmosres.2022.106456</a></p> <ul> <li>The 00 subfolder includes a 10-member ensemble and the ensemble mean to run the GSI system using the ENKF version.&nbsp;</li> <li>The 01 to 10 subfolders include the background at the analysis time and files every 10 minutes inside the assimilation window to run the GSI system using the fGAT method.</li> </ul> <p><strong>OBS</strong></p> <p>Meteorological observations in bufr format.</p> <ul> <li>cimap.20181122.t12z.01h.prepbufr.nqc is derived from a prepbufr file available at https://rda.ucar.edu/datasets/ds337.0 plus observations from private automatic meteorological weather networks in Argentina.</li> <li>abig16.20181122.t12z.bufr_d was generated using GOES-16 data available at:&nbsp;</li> <li>The other radiance observations comes from the Global Data Assimilation System (GDAS) Model: https://www.nco.ncep.noaa.gov/pmb/products/gfs/ <ul> <li>1bamua.20181122.t12z.bufr_d</li> <li>ssmisu.20181122.t12z.bufr_d</li> <li>1bhrs4.20181122.t12z.bufr_d</li> <li>airsev.20181122.t12z.bufr_d &nbsp;</li> <li>mtiasi.20181122.t12z.bufr_d</li> <li>1bmhs.20181122.t12z.bufr_d &nbsp;</li> <li>atms.20181122.t12z.bufr_d &nbsp; &nbsp;</li> <li>satwnd.20181122.t12z.bufr_d</li> </ul> </li> </ul>

opencc-by-4.0Dec 2023View details →
zenodo28/100

Supplementary Materials of the Tutorial: "Promotion of Open Science in Requirements Engineering: Leveraging the ORKG and ORKG Ask for FAIR Scientific Information"

<h1>Summary</h1> <p>This collection contains all the supplementary materials of the second tutorial titled "<a href="https://conf.researchr.org/details/RE-2025/RE-2025-tutorials/1/Promotion-of-Open-Science-in-Requirements-Engineering-Leveraging-the-ORKG-and-ORKG-A" target="_blank" rel="noopener">Promotion of Open Science in Requirements Engineering: Leveraging the ORKG and ORKG Ask for FAIR Scientific Information</a>", accepted at the <a href="https://conf.researchr.org/home/RE-2025" target="_blank" rel="noopener">33rd IEEE International Requirements Engineering Conference 2025</a>.</p> <p>The materials complement the tutorial sessions and provide participants with resources to enhance their understanding and application of open science principles in the field of Requirements Engineering (RE) by leveraging the&nbsp;<a href="https://orkg.org/" target="_blank" rel="noopener">Open Research Knowledge Graph (ORKG)</a> and <a href="https://ask.orkg.org/" target="_blank" rel="noopener">ORKG Ask</a> for FAIR scientific information. These materials contain all the presentation slides and exercise materials so that everyone can repeat the theoretical presentations independently and carry out the practical exercises themselves at any time.</p> <h1>Contents</h1> <h2>1. Slides - All slides used in the tutorial.</h2> <table> <tbody> <tr> <td><strong>Files</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>0. RE25 Tutorial - All Sessions.pdf</td> <td>The complete set of all slides used in the tutorial, which are also provided individually for each session of the tutorial.</td> </tr> <tr> <td>1. RE25 Tutorial - Welcome.pdf</td> <td>The welcome with an overview of the content of the tutorial.</td> </tr> <tr> <td>2. RE 25 Tutorial - Introduction to Open Science in RE.pdf</td> <td>The theoretical introduction to open science regarding its importance, benefits, and incentives for researchers themselves and the wider RE community.</td> </tr> <tr> <td>3. RE25 Tutorial - Introduction to ORKG and ORKG Ask.pdf</td> <td>The theoretical introduction to the Open Research Knowledge Graph (ORKG) and ORKG Ask.</td> </tr> <tr> <td>4. RE25 Tutorial - Using SciKGTeX.pdf</td> <td>The practical exercise, with detailed step-by-step instructions on how to use the LaTeX package <a href="https://github.com/Christof93/SciKGTeX" target="_blank" rel="noopener">SciKGTeX</a> to create a FAIR-annotated publication and import it into the ORKG.</td> </tr> <tr> <td>5. RE25 Tutorial - Using the ORKG.pdf</td> <td>The practical exercise, with detailed step-by-step instructions on how to use the <a href="https://orkg.org/" target="_blank" rel="noopener">ORKG </a>to describe publications regarding their scientific information and use these descriptions to create and publish an ORKG comparison.</td> </tr> <tr> <td>6. RE25 Tutorial - Using the ORKG Ask and ORKG CSV Import.pdf</td> <td>The practical exercise, with detailed step-by-step instructions on how to use <a href="https://ask.orkg.org/" target="_blank" rel="noopener">ORKG Ask</a> and the <a href="https://orkg.org/" target="_blank" rel="noopener">ORKG</a> CSV Import to describe publications regarding their scientific information and use these descriptions to create and publish an ORKG comparison.</td> </tr> <tr> <td>7. RE25 Tutorial - Reflection and Closing.pdf</td> <td>The summary, reflection, and closing of the tutorial with an outlook to the future of <a href="https://gitlab.com/TIBHannover/orkg/ExtracTable" target="_blank" rel="noopener">ExtracTable</a>.</td> </tr> </tbody> </table> <h2>2. Exercise Materials - All exercise materials used in the tutorial.</h2> <h3>2.1 SciKGTeX Materials</h3> <table> <tbody> <tr> <td><strong>Folder</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>SciKGTeX_Example</td> <td> <p>The folder contains an example publication and all required SciKGTeX files for annotating the scientific information.</p> <p>Files:</p> <ol> <li>example.tex : LaTeX file of the example publication.</li> <li>scikgtex.lua : Required LaTeX package file for using SciKGTeX.</li> <li>scikgtex.sty : Required LaTeX package file for using SciKGTeX.</li> <li>project.zip : Zip file containing all above files for uploading as a project in Overleaf.</li> </ol> <p><em>Remark:</em> SciKGTeX is constantly being further developed. For the latest version of the required files, please refer to the corresponding <a href="https://github.com/Christof93/SciKGTeX" target="_blank" rel="noopener">GitHub project</a>.</p> </td> </tr> <tr> <td>SciKGTeX_Solution</td> <td> <p>The folder contains an Overleaf project with the solution for a possible annotation of the example publication provided.</p> <p>Files:</p> <ol> <li>example.pdf : PDF with annotations embedded into the PDF's XMP metadata.</li> <li>example.tex : LaTeX file of the example publication with annotations.</li> <li>output.xmp_metadata.xml : XMP file generated by SciKGTeX to check the annotations created.</li> <li>scikgtex.lua : Required LaTeX package file for using SciKGTeX.</li> <li>scikgtex.sty : Required LaTeX package file for using SciKGTeX.</li> <li>project.zip : Zip file containing all above files for uploading as a project in Overleaf.</li> </ol> <p><em>Remark:</em> SciKGTeX is constantly being further developed. For the latest version of the required files, please refer to the corresponding <a href="https://github.com/Christof93/SciKGTeX" target="_blank" rel="noopener">GitHub project</a>.</p> </td> </tr> </tbody> </table> <h3>2.2 ORKG Materials</h3> <table> <tbody> <tr> <td><strong>Folder</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>ORKG_Exemplary_Comparison</td> <td> <p>The folder contains a created ORKG comparison as a PDF and PNG file, consisting of 4 exemplary publications that were described with the ORKG template provided for the tutorial.</p> </td> </tr> <tr> <td>ORKG_Exemplary_Publications</td> <td> <p>The folder contains 20 PDF files with short summaries of scientific findings on empirical research practices from 20 different publications of the IEEE International Requirements Engineering Conference. The participants have received these PDFs to enter them in the ORKG and then create an ORKG Comparison.</p> <p><em>Remark:</em> We have provided the short summaries instead of the full publications to simplify the extraction process due to time constraints.</p> </td> </tr> <tr> <td>ORKG_Template</td> <td> <p>The folder contains an overview of the ORKG template used in the tutorial as a PNG file and an N3 file of its RDF structure.</p> </td> </tr> </tbody> </table> <h3>2.3 ORKG Ask &amp; ORKG CSV Import Materials</h3> <table> <tbody> <tr> <td><strong>File</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>empty_orkg_csv_file_for_orkg_csv_import.csv</td> <td> <p>The file contains an empty template for creating an ORKG CSV file for the ORKG CSV Import with own content.</p> </td> </tr> <tr> <td>empty_orkg_csv_file_for_orkg_csv_import.xlsx</td> <td> <p>&nbsp;</p> The file contains an empty template for creating an ORKG CSV file for the ORKG CSV Import with own content. <p>&nbsp;</p> </td> </tr> <tr> <td>orkg_ask_synthesized_answer_and_link_to search.txt</td> <td>The file contains the synthesized answer with references from ORKG Ask for the question "What is the state of the art in empirical research applied in requirements engineering?" with a link to the associated saved search.</td> </tr> <tr> <td>original_orkg_ask_export_for_orkg_csv_import.csv</td> <td> <p>The file contains the original content of an exported ORKG Ask result table that is revised in the tutorial to create an ORKG Comparison using the ORKG CSV Import.</p> </td> </tr> <tr> <td>original_orkg_ask_export_for_orkg_csv_import.xlsx</td> <td> <p>The file contains the original content of an exported ORKG Ask result table that is revised in the tutorial to create an ORKG Comparison using the ORKG CSV Import.</p> </td> </tr> <tr> <td>revised_orkg_ask_export_for_orkg_csv_import.csv</td> <td> <p>The file contains the revised content of an exported ORKG Ask result table that is used in the tutorial to create an ORKG Comparison using the ORKG CSV Import.</p> </td> </tr> <tr> <td>revised_orkg_ask_export_for_orkg_csv_import.xlsx</td> <td> <p>The file contains the revised content of an exported ORKG Ask result table that is used in the tutorial to create an ORKG Comparison using the ORKG CSV Import.</p> </td> </tr> </tbody> </table> <h1>Usage Notes</h1> <p>These materials are intended for use by the participants of the tutorial, the broader RE community, and everyone interested in open science. They are provided to support the long-term transition towards FAIR scientific information and to empower researchers to integrate open science infrastructures into their work.</p> <h1>License</h1> <p>The materials are released under&nbsp;<a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">Creative Commons Attribution 4.0 International (CC BY 4.0) license</a>, allowing for reuse and distribution in accordance with open science practices.</p>

opencc-by-4.0Jun 2023View details →
dryad28/100

Data from: Simplified models of the symmetric single-pass parallel-plate counterflow heat exchanger: a tutorial

Open the record for dataset details and reuse information.

publicJan 2018View details →
zenodo24/100

SICSS - Tutorial Dataset File

<p>Code for analyzing this data&nbsp;<a href="https://github.com/virallab/SICSS_Tutorial">https://github.com/virallab/SICSS_Tutorial</a></p>

opencc-by-4.0Jun 2020View details →
zenodo24/100

FITS data file for Learn Astropy Celestial Coords #1 tutorial

<p>This is for hosting the fits data file of the planetary nebula NGC 7293 for use in the Learn Astropy Celestial Coords #1 tutorial.&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo24/100

Training material for Galaxy 101 tutorial

<p>The data provided here are part of a Galaxy&nbsp;tutorial &quot;Galaxy 101&quot;. The files contain BED-formatted 1) coding exons on chromosome 22 of human genome version hg38, 2)&nbsp;SNPs from dbSNP version 153 located in whole genes, and 3) repeats from hg38 chr22.</p>

opencc-by-4.0Oct 2020View details →
zenodo24/100

Mock datasets for MPoL tutorials and tests

<p>`*.npz` and `*.asdf` files&nbsp;containing visibilities are in the TMS format (opposite that of CASA).</p><p>logo_cube.noise.npz visibilities have been rescaled such that&nbsp;data - model / sigma follows the expected Gaussian envelope.</p><p>HD 143006 continuum visibilities have flagged outliers removed and weights rescaled such that the data - model / sigma follows the expected Gaussian envelope, for each spectral window.</p><p>AS 209 continuum visibilities have been averaged across frequency and have their weights rescaled such that&nbsp;the data - model / sigma follows the expected Gaussian envelope, for each spectral window.</p>

opencc-by-4.0Oct 2013View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record