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Dataset results
392 results for “tutorial”
Computer-based Tutorial as Supportive Means to Enhance the Informed Consent Process for Cataract Surgery
ClinicalTrials.gov study NCT04975126. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Web Based Therapist Tutorial on Prolonged Grief
ClinicalTrials.gov study NCT05121792. IPD Sharing: NO. Countries: 1. Publications: 3.
Parenting Your Young Child With Autism: A Web-Based Tutorial
ClinicalTrials.gov study NCT02184390. IPD Sharing: Not stated. Countries: 1. Publications: 1.
RAMP Data Management Tutorial Recordings
<p>These videos are a recorded tutorial concerning a system for managing data collected by the RAMP low-cost sensor system. The example folder and files used in the demonstrations are also included.</p>
JORG Tutorial Example
<p>JORG Tutorial Example</p>
Tutorial for High-Speed AFM (HS-AFM) imaging
<p>The video shows to the viewer the procedure for obtaining high-resolution images using the HS-AFM of the type 'Ando'</p>
Tutorial data for basic EEG ERP analysis
<p>This dataset represents a curated subset of https://freidok.uni-freiburg.de/data/154576 (DOI: 10.6094/UNIFR/154576) to be used as example data in a tutorial notebook.</p> <p>For in-depth details please refer to the original dataset.</p>
APRICOT-1.0 files required for tutorial and demonstration
<p>This folder contains the basic files required to run the APRICOT pipeline for tutorial and demonstration purpose.</p> <p>APRICOT is a computational pipeline for the identification of specific functional classes of interest in large protein sets. The pipeline uses efficient sequence-based algorithms and predictive models like signature motifs of protein families for the characterization of user-provided query proteins with specific functional features. The dynamic framework of APRICOT allows the identification of unexplored functional classes of interest in the large protein sets or the entire proteome.</p> <p>The step-by-step tutorial that requires this dataset is available at: https://github.com/malvikasharan/APRICOT/blob/master/APRICOT_tutorial.md</p> <p>The source codes of APRICOT are available via git https://github.com/malvikasharan/APRICOT and pip https://pypi.python.org/pypi/bio-apricot.</p>
Metaproteomics tutorial (training data)
<p><strong>Metaproteomics</strong> uses MS/MS data and matches it to peptide sequences.</p> <p>In the training available at https://galaxyproject.github.io/training-material//topics/proteomics/tutorials/metaproteomics/tutorial.html, we introduce the bioinformatics methods to analyze metaproteomics data.</p>
pyforce tutorials - ERMETE-LAB
<p>Companion dataset for pyforce tutorials (https://github.com/ERMETE-Lab/ROSE-pyforce).</p>
Python repositories with tutorials
<p>Email me at justine.gehring <at> gmail <.com> if you have any questions</p>
SleepTrip tutorial data
Open the record for dataset details and reuse information.
Video Tutorial Resources to Support Student Training in Tidal Data Digitization
<p>These videos serve as supplementary resources to assist students in digitizing high and low tidal points for two specific phases: Phase 1 (2023-2024), focusing on Dublin Port with selected years from the 1970s, and Phase 2 (2024-2025), centred on Kilrush (Training Dataset). These resources complement the paper titled "<em>Evaluating Student Involvement in Ocean Data Digitization Efforts"</em>, providing essential training aimed at improving accuracy and engagement in student-led tidal data digitization projects."</p>
Salmon Softcliping Tutorial - Prokaryotic Dataset
<p>This is a paired-end short read simulation dataset of Salmonella along with two different representations of Salmonella transcriptome. "genes.fasta" is the regular gene/CDS-based transcriptome that is commonly used in prokaryotic expression quantification. "operons.fasta" is an operon-based transcriptome in which the sequences of the co-transcribed genes are concatenated together to form a united operon sequence. The gene annotation and gene to operon assignments are provided in "salmonella_operons.gff" file.</p>
MolHyb - Getting Started Video Tutorial for New Users
<p>MolHyb - Getting Started Video Tutorial for New Users</p>
Retrieving API knowledge from Tutorials and Stack Overflow based on Natural Language Queries
<p>The replication package of PLAN</p>
FAIRmat Tutorial 6: Experimental data management in NOMAD
<p>Experiments are a key ingredient of materials science. Instruments are built, data are collected on a routine basis in every laboratory in universities, research institutes, and industrial sites, but often data is only used for answering a specific question in the hands of a local investigator. In the past, the full potential of data has not been explored, because the heterogeneity of research impeded meaningful comparisons beyond dedicated project teams. For the scientific community, this means that the same experiment has to be performed repeatedly, and there is no way to form a big data infrastructure enabling modern interoperable solutions, like artificial intelligence assisted research.</p> <p>FAIRmat, as one of the flagship projects of the <a href="https://www.nfdi.de/" target="_blank" rel="noopener">German National Research Data Infrastructure</a>, is working on providing experimental data management solutions from the lab scale to the national or international level. We are presenting a hands-on tutorial on how we support the data lifecycle from planning and running an experiment to collecting and annotating data according to international community standards for searchability, and reuse. For this purpose, we bring a very simple experiment of a temperature dependent I-V measurement in as an example and let every participant follow us and connect to our central data management services, to view, explore and work with the datasets collected on-the-fly.</p> <p><strong>Disclaimer:</strong> 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 <a href="https://nomad-lab.eu/prod/v1/docs/">https://nomad-lab.eu/prod/v1/docs/</a></p>
FAIRmat Tutorial 2: Electronic lab notebooks and FAIR data management
<p>This tutorial is reviewing the need of using Electronic Lab Notebooks (ELNs) in materials science research labs, synthesis, and experimental characterization facilities. A special emphasis is put on efficiently collecting all metadata and perform a FAIR data management which not only facilitates organizing the work better and making the processes in the lab more performant, but also guarantees the possibility of data reuse via offering machine readability and machine interpretability.</p> <p>The tutorial is also addressing the questions: Which kind of choices are available and how to set up such ELN system for a laboratory? A demonstration of such a lab setup will also be provided on the first day.</p> <p>On the second day, three more presentations will guide you through the details of implementing such a setup for your own lab. For this purpose, we have chosen relevant, but simple use cases which can help you in mapping our strategies and solutions onto your institute.</p> <p><strong>Disclaimer:</strong> 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 <a href="https://nomad-lab.eu/prod/v1/docs/">https://nomad-lab.eu/prod/v1/docs/</a></p>
Writing Tutorial Scaffolding Microanalysis--LBell
<p>Coding of scaffolding activities across three writing center tutorials with L2 writers</p>
SC24APDX146 - Tutorial Videos
Open the record for dataset details and reuse information.
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.