Find research datasets worth reusing
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392
datasets available to search
ShareScore release 0.7.1
Dataset results
392 results for “tutorial”
ForceBalance Fitting Tutorial
<p>Video tutorials on how to use ForceBalance in force field fitting procedures used in the Open Force Field Initiative.</p>
video tutorials for inkscape in secondary school
<p>Video tutorials designed for the experimental phase of the study published in </p> <p>Sáez-LacaveA., Rodriguez-LopezA., Serrano-MuñozS., & Perez-FariñasR. (2020). Changing the Spanish arts curriculum for secondary school: the case for digital geometry and screencasting. <em>Research in Learning Technology</em>, <em>28</em>. https://doi.org/10.25304/rlt.v28.2342</p> <p> </p>
IPBES Data Management Tutorials - Session 3.2: Structure of a data management report and versioning
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>IPBES data management reports </em>chapter provides an overview and discussion of specific elements of IPBES data management reports.</p> <p>This session, <em>Structure of a data management report and versioning</em>, details the structure of a data management report and guidelines for versioning. </p>
IPBES Data Management Tutorials - Session 3.3: Data management report details: Data and metadata documentation and curation
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>IPBES data management reports </em>chapter provides an overview and discussion of specific elements of IPBES data management reports.</p> <p>This session <em>Data management report details: Data and metadata documentation and curation </em>reviews what should be included in metadata and why it should be tracked in a data management report.</p>
IPBES Data Management Tutorials - Session 5.1: Introduction to tools for data management
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The<em> Tools for data management </em>chapter provides IPBES authors with an overview of open source tools used frequently by the scientific community to help it implement data management for the entire data life cycle.</p> <p>The introductory session for the <em>Tools for data management</em> chapter reviews the characteristics that open source tools should have. </p>
Training data for "From small to large-scale genome comparison", a tutorial for the Galaxy Training Network
<p>This dataset comprises two sequence pairs in FASTA format, one including two mycoplasmas (<em>Hyopneumoniae</em> 232 and 7422) and the other including the first chromosome of two plant genomes (<em>Aegilops tauschii</em> and <em>Triticum aestivum</em>).</p>
GTN Tutorial: Visualization with Circos
<p>Data required for completing the Galaxy tutorial entitled "Visualization with Circos"</p>
Autoevaluación de la acción tutorial de docentes de educación primaria de la red n° 4 de Ventanilla - Callao
<p>La matriz de datos incluye las siguientes variables: Personal Social, Nivel_persona social, Académica, Nivel:_académica, Vocacional, Nivel_vocacional, Salud corporal y mental, nivel_salud corporal y mental, Ayuda social, Nivel_ayuda social, Convivencia y disciplina escolar, Nivel_convivencia y disciplina escolar, Cultura y actualidad, Nivel_cultura y actualidad.</p>
CD44 / CCP4 tutorial dataset
<p>A rotation data set from a protein crystal of selenomethionine-containing CD44, plus the amino acid sequence of CD44. This can be used for training diffraction data processing and phasing. The data set was collected at the ESRF beamline ID14-4 on the 3rd May 2002.</p>
QIIME2 2.0.5 feauture-classifier tutorial data
<p>Data for the QIIME2 2.0.5 feature-classifier tutorial.</p> <p>Some data reproduced from here: http://qiime.org/home_static/dataFiles.html</p>
Tutorial Dataset of MDANSE 2016 Workshop
<p>This dataset was distributed to delegates attending MDANSE (Molecular (and Lattice) Dynamics to Analyse Neutron Scattering Experiments) 2016 workshop, held at Abingdon, Oxfordshire, United Kingdom during 10-12 November, 2016.</p> <p>More information of this workshop will be found here: http://www.isis.stfc.ac.uk/news-and-events/events/2016/mdanse-201615848.html</p> <p>The tutorial document will be published here: https://epubs.stfc.ac.uk/index</p> <p> </p>
Sample datasets for Galaxy NGS tutorial
<p>Datasets in fastqsanger.gz format representing re-sequencing of human mitochondria </p>
Mothur MiSeq SOP Galaxy Tutorial Data
<p>These are files for use with the Galaxy metagenomics tutorial "Mothur MiSeq SOP"</p>
Instructions for ContinuousFlex software installation and Tutorial for running MDSPACE and MDTOMO with test datasets
<p>Instructions for ContinuousFlex software installation and Tutorial for running MSPACE and MDTOMO methods of ContinuousFlex, together with test datasets. The ContinuousFlex installation instructions also include the instructions for installing Scipion, Xmipp, ChimeraX, and VMD (required for using ContinuousFlex). This distribution was prepared for the practical session of AlgoSB 2023 thematic school (Novembre 20 - 24, 2023, Cargese, France) on hybrid methods MDSPACE and MDTOMO for obtaining continuous conformational landscapes from cryo electron microscopy and cryo electron tomography data. Instructions for the software installation are in Instructions-Installation-ContinuousFlex.txt. The tutorial for the practical session is in MDSPACE_Tutorial_v4.docx and MDSPACE_Tutorial_v4.pdf.</p>
The bucket for tutorial 01
This model is for my pbr tutorial https://www.youtube.com/watch?v=fiArDWMLek8 Source: Objaverse 1.0 / Sketchfab
Colossal Bust Ramesses II - Livestream Tutorial
Produced as part of a live stream on photogrammetry & Sketchfab, watch now 👉 https://youtu.be/peejpa7zmt4 > Head and upper body of pink/grey granite monumental statue of Ramses II (one of a pair placed before the door of the Ramesseum) wearing nemes head-cloth and circlet of uraei (about half now lost), [...] the dorsal pillar is inscribed with vertical registers of hieroglyphs - giving the name and titles of the king and part of a dedication to Amun-Ra; - https://www.britishmuseum.org/collection/object/Y_EA19 Captured with 126 photos, iphone 13, processed with RealityCapture + Blender. Source: Objaverse 1.0 / Sketchfab
chewBBACA: step-by-step tutorial
<p>This dataset includes the datasets and results for the step-by-step tutorial of the chewBBACA software. chewBBACA is a comprehensive pipeline including a set of functions for the creation and validation of whole genome and core genome MultiLocus Sequence Typing (wg/cgMLST) schemas.</p> <p>The source code is available on <a href="https://github.com/B-UMMI/chewBBACA">GitHub</a>.</p>
SeuratExtend Tutorial: Curated Example Datasets for Single-Cell Analysis
<p>This repository contains example datasets specifically curated for the SeuratExtend tutorial, aimed at facilitating advanced analyses and visualization techniques in single-cell genomics. The datasets have been derived from publicly available data obtained from the 10X Genomics website and have undergone careful preprocessing to serve specific tutorial goals.</p> <p>The collection includes the following datasets:</p> <ol> <li> <p><strong>Myeloid Subset from PBMC 10k Dataset:</strong> This subset focuses on myeloid cells extracted from the larger PBMC 10k dataset, showcasing a preprocessed SeuratObject stored as an RDS file. The data serve as a primary example for demonstrating the capabilities of SeuratExtend differentiation trajectory analysis.</p> </li> <li> <p><strong>Velocyto LOOM File of Myeloid Subset from PBMC 10k Dataset:</strong> Accompanying the first dataset, this Velocyto-generated LOOM file represents a subset of the same myeloid cells, focusing on RNA velocity analyses. It provides a dynamic perspective on gene expression changes over time, enriching the tutorial with advanced single-cell transcriptomics insights.</p> </li> <li> <p><strong>SCENIC-Processed PBMC 3k Dataset:</strong> An outcome of running the SCENIC workflow on the PBMC 3k dataset, this LOOM file represents a refined dataset highlighting gene regulation networks. It serves as an advanced example for users interested in exploring gene regulatory mechanisms using SeuratExtend.</p> </li> </ol> <p>Each dataset has been subsetted and processed, making them ideal for users ranging from beginners to advanced researchers in the field of single-cell genomics. The provided data are intended for educational and tutorial purposes, allowing users to gain hands-on experience with real-world single-cell analysis scenarios.</p> <p> </p>
FAIRmat Tutorial 15: Use of pynxtools with Examples from Optical Spectroscopy
<p>The FAIRmat Tutorial 15 will address the necessity of FAIR research data management when working with experimental data in materials science. FAIRmat provides NOMAD (https://nomad-lab.eu/nomad-lab/) to the scientific community as a platform specifically developed for this purpose. </p> <p>NOMAD integrates the NeXus Ontology based on the NeXus community standard (https://www.nexusformat.org/). The NeXus standard has been significantly expanded over the years and now includes a comprehensive range of metadata definitions, making it applicable to various experimental techniques used in materials science. </p> <p>FAIRmat, in collaboration with the scientific community and technology partners, has developed pynxtools. These software tools simplify the conversion of experimental data and metadata according to the community standard, making it easy to integrate experimental data into NOMAD. </p> <p>This tutorial will cover using the pynxtools and how such datasets are managed within NOMAD. To demonstrate the functionality of pynxtools in combination with NOMAD, we will use ellipsometry and Raman spectroscopy data as examples.</p> <p>The main topics to be covered are: <br>• FAIR research data management <br>• NeXus data modelling <br>• Data conversion and verification using pynxtools<br>• Data management with NOMAD </p> <p>Disclaimer: NOMAD is being continuously developed based on input and feedback from the scientific community. Hence the features, services or interface may have changed since the time of recording of this video. For up-to-date information please consult our latest tutorials and the NOMAD documentation https://nomad-lab.eu/prod/v1/docs/</p>
TerrSet 2020 Tutorial Data
<p>The TerrSet software includes a comprehensive tutorial including an extensive dataset. The TerrSet tutorial is accessible from the TerrSet Help menu. The corresponding data for each tutorial can be downloaded here. You can download data for each module separately, or use the Download All button to download all of them toether. Please note that all files are zipped.</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.