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392 results for “tutorial”

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zenodo32/100

AnnData object for case study tutorials

<p>This dataset works for the Filter, Plot &amp; Explore tutorial: https://training.galaxyproject.org/training-material/topics/single-cell/tutorials/scrna-case_basic-pipeline/tutorial.html</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

AI tutorial data

<p>Preprocessing demo</p>

opencc-by-4.0Jan 2022View details →
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Training data for the "Metabarcoding/eDNA through Obitools" tutorial

<p>Training dataset for Obitools tutorial using Galaxy.</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

WESTPA 2.0 haMSM restarting tutorial sample data

<p>Sample dataset for use with the WESTPA-2.0 haMSM restarting plugin tutorial.</p>

opencc-by-4.0Apr 2022View details →
zenodo32/100

CView: tutorial 1 - overview (movie and script)

<p><strong>Overview of CView</strong></p> <p>This page&nbsp;contains the video tutorial,&nbsp;tutorial_1_overview.mp4, and accompanying script,&nbsp;as presented by Raquel Linheiro describing&nbsp;the general usage of CView.&nbsp;Further details about the software can be obtained from our manuscript&nbsp;<a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0259726">CView: A network based tool for enhanced alignment visualization</a>.</p> <p>&nbsp;</p> <p><strong>Other Tutorials</strong></p> <p>A general demonstration of how variants can be identified using&nbsp;CView&nbsp;is available&nbsp;<a href="https://zenodo.org/record/6514972">here</a>.</p> <p>&nbsp;</p> <p><strong>Case Study Data</strong></p> <p>The alignment used for the case study described within the manuscript is available&nbsp;<a href="https://zenodo.org/record/6475666">here</a>.</p> <p>&nbsp;</p> <p>A poster sumarization presented at <a href="https://www.iscb.org/ismb2022">ISMB 2022</a> is available <a href="https://doi.org/10.5281/zenodo.6798044">here</a>.</p> <p>The CView project page is located at:&nbsp;<a href="https://sourceforge.net/projects/cview/">https://sourceforge.net/projects/cview/</a>.&nbsp;</p> <p>&nbsp;</p> <p>Related software to this project are:<br> 1.&nbsp;<a href="http://sourceforge.net/projects/cstone/">CStone</a>&nbsp;<br> 2.&nbsp;<a href="http://sourceforge.net/projects/csreadgen/">CSReadGen</a><br> 3.&nbsp;<a href="https://sourceforge.net/projects/cview/">CView</a>&nbsp;&lt;<br> 4.&nbsp;<a href="https://sourceforge.net/projects/chimsim/">ChimSim</a><br> 5.&nbsp;<a href="https://sourceforge.net/projects/tvscript/">TVScript</a></p> <p>&nbsp;</p> <p>General details of the project are available&nbsp;<a href="https://cibio.up.pt/en/projects/de-novo-based-sequence-assembly-of-next-generation-sequence-data-without-chimeras-improved-annotation-gene-expression-profiles-and-haplotype-br-reconstruction/">here</a>.</p> <p>&nbsp;</p> <p><strong>| linkedIn . web . orcid |</strong><br> | <a href="https://www.linkedin.com/in/raquel-linheiro-50883873/">linheiro</a> . web . <a href="https://orcid.org/0000-0003-2659-0910">orcid</a> |---| sabatino . <a href="https://cibio.up.pt/en/people/details/stephen-joseph-sabatino/">web</a> . <a href="https://orcid.org/0000-0003-2815-2375">orcid</a> |---| <a href="https://www.linkedin.com/in/diana-lobo-6aa63328/">lobo</a> . <a href="https://cibio.up.pt/en/people/details/diana-lobo/">web</a> . <a href="https://orcid.org/0000-0001-6988-9993">orcid</a> |---| <a href="https://www.linkedin.com/in/john-archer-7b872872">archer</a> . <a href="https://cibio.up.pt/en/people/details/john-archer/">web</a> . <a href="https://orcid.org/0000-0001-6212-0962">orcid</a> |</p> <p>&nbsp;</p>

opencc-by-4.0May 2022View details →
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Example data for PlotsOfData tutorial

<p>Example data for PlotsOfData tutorial</p>

opencc-by-4.0May 2022View details →
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Downsampled metagenomic datasets for the metaFlye tutorial

<p>Downsampled metagenomic datasets for the metaFlye tutorial</p>

opencc-by-4.0May 2022View details →
zenodo32/100

Tutorial video to use the 'sm-dtw' assessment tool with simulated synthetic phyllotaxis data

<p>This tutorial explain how to use &#39;sm-dtw&#39;, an assessment tool which has been designed to evaluate how good a phyllotaxis measure is from a plant phenotyping experiment. To get data to play with and explore all possible case scenarios, we also designed a program to generate phyllotaxis data and simulate typical errors produced by a phenotyping experiment.</p> <p>This tutorial explains:</p> <p>1) the context in which such a tool is useful (what is a phyllotaxis measure ? What kind of phenotyping experiment ? Why do need to evaluate your results ? What are typical errors you want to detect ?)</p> <p>2) how to download and use the two programs (&#39;sm-dtw&#39; and the generator of phyllotaxis data)</p> <p>3) how to play with the programs thanks to pedagogical demonstrator notebooks.</p> <p>In brief, there are 3 notebooks that are meant to be run as three successive steps:</p> <ul> <li>step1 / Notebook 1: it allows anybody to simulate phyllotaxis data (pair of sequences consisting of ground truth sequences and their error-prone measures),</li> <li>step2 / Notebook 2: assess the measure performance with our new program &lsquo;sm-dtw&rsquo; (detect errors and quantify precision)</li> <li>step3/Notebook 3: control that sm-dtw program correctly interprets the differences between the measure and its ground truth reference.</li> </ul>

opencc-by-4.0Jul 2022View details →
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GTN Tutorial: Data Manipulation Olympics

<p>Input datasets for the Galaxy Tutorial on Data manipulation</p>

opencc-by-4.0Jun 2022View details →
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16S metabarcoding tutorial

<p>Tutorial for the analysis of 16S rRNA metabarcoding sequences using the MiSeq SOP pipeline.&nbsp;https://github.com/AndresICM/16S-rRNA-Metabarcoding-analysis</p>

opencc-by-4.0Jul 2022View details →
zenodo32/100

mosartwmpy tutorial data 1981-05

<p>Input data for following along with&nbsp;the mosartwmpy model tutorial:&nbsp;https://github.com/IMMM-SFA/mosartwmpy</p>

openother-openApr 2021View details →
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Trajectories_Jupyter_Tutorial

<p>These datasets and Jupyter notebooks are used in the single cell trajectories tutorial on the Galaxy Training Network site.</p>

opencc-by-4.0Mar 2021View details →
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Data for GNPS Tutorial

<ol> <li>Quantification file = <em>DDA_PeakArea_for_GNPS.txt</em></li> <li>MS/MS spectra file = <em>GnpsMgf_0_20228151332.mgf</em></li> </ol>

opencc-by-4.0Oct 2022View details →
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Intermediate files for dRep / inStrain tutorial

<p>Intermediate files for&nbsp;dRep / inStrain tutorial</p>

opencc-by-4.0Oct 2022View details →
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Cases used in EMRNA tutorial

<p>EMRNA: Accurate RNA structure determination from cryo-EM maps by deep learning and integrated modeling.</p> <p>Here stores the 4 cases used in the EMRNA tutorial.</p>

opencc-by-4.0Dec 2023View details →
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Lantern from Substance Painter tutorial

The lantern I textured following the newest Allegorithmic tutorial. Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-1.0Mar 2018View details →
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Data for the rethomics + ethoscope tutorial

<p>A toy dataset to tech readers hor to use rethomics&#39; scopr package. See https://rethomics.github.io/scopr.html</p>

opencc-by-4.0Nov 2017View details →
zenodo32/100

Tutorial: Sicherheitsausnahme für Internetprogramme Hinzufügen (Windows)

<p>In diesem Video zeigen wir dir, wie du eine Sicherheitsausnahme hinzuf&uuml;gst, um auf deinem Windows-Rechner ein aus dem Internet geladenes Programm zu starten. Im Video werden zwei m&ouml;gliche Wege kurz aber Schritt-f&uuml;r-Schritt erkl&auml;rt, sodass du sie ganz einfach nachvollziehen kannst. Da viele Programme der digitalen Geisteswissenschaften frei aus dem Internet heruntergeladen werden k&ouml;nnen, geh&ouml;rt das Hinzuf&uuml;gen von Sicherheitsausnahmen fast zu jedem Installationsprozess dieser Tools dazu.</p>

opencc-by-4.0Jan 2019View details →
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Tutorial: Sicherheitsausnahme für Internetprogramme Hinzufügen (Mac)

<p><span><span>In diesem Video zeigen wir dir, wie du eine Sicherheitsausnahme hinzuf&uuml;gst, um auf deinem Mac ein aus dem Internet geladenes Programm zu starten. Im Video werden zwei m&ouml;gliche Wege kurz aber Schritt-f&uuml;r-Schritt erkl&auml;rt, sodass du sie ganz einfach nachvollziehen kannst. Da viele Programme der digitalen Geisteswissenschaften frei aus dem Internet heruntergeladen werden k&ouml;nnen, geh&ouml;rt das Hinzuf&uuml;gen von Sicherheitsausnahmen fast zu jedem Installationsprozess dieser Tools dazu.</span></span></p> <div></div> <div> <div> <div></div> </div> </div> <p>&nbsp;</p>

opencc-by-4.0Jan 2019View details →
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Data files for Bioinformatics Tutorial May 2024

<p>These files are for use in a bioinformatics tutorial on the Galaxy platform.</p>

opencc-by-4.0May 2024View 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