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392 results for “tutorial”
Simulations data for the HDXer tutorials
<p>Simulations data used for the HDXer tutorials found on GitHub: <a href="https://github.com/Lucy-Forrest-Lab/HDXer">https://github.com/Lucy-Forrest-Lab/HDXer</a></p>
Appendix for "A Data-Centric Study of Software Tutorial Design"
<p>This appendix contains details of the systematic study methodology and an evaluation sample of the data necessary to independently validate and replicate the findings on tutorial design that are presented in the paper "A Data-Centre Study of Software Tutorial Design".</p>
Tutorial videos on the application of XPS inelastic background for characterization of composition and morphology of nano-structures with QUASES software
<p>The tutorial videos illustrate the application of XPS inelastic background analysis for characterization of composition and morphology of nano-structures with QUASES software.</p> <p><strong>For an introduction to the method, see:</strong><br> S. Tougaard "Practical guide to the use of backgrounds in quantitative XPS." <em>J Vac Sci Technol A</em>. 2021;39:011201. doi:10.1116/6.0000661<br> S. Tougaard "Accuracy of the non-destructive surface nanostructure quantification technique based on analysis of the XPS or AES peak shape". <em>Surf Interface Anal</em>. 1998;26(4):249-269. doi:<a href="https://doi-org.proxy1-bib.sdu.dk/10.1002/(SICI)1096-9918(199804)26:4%3C249::AID-SIA368%3E3.0.CO;2-A">https://doi-org.proxy1-bib.sdu.dk/10.1002/(SICI)1096-9918(199804)26:4<249::AID-SIA368>3.0.CO;2-A</a></p> <p> </p> <p>The inelastic background analysis was done with the QUASES-Tougaard software . See www. quases.com.</p> <p>It is recommended to read first the short description in the pdf file: <strong>Guide to the 14 posted videos.pdf.</strong> This explains briefly the purpose of each video. </p> <p>To best understand what is done in Video 9 ("9.Practical procedure to correct for elastic electron scattering.mp4") you should first watch Video 8, then Video 6 and then Video 9.</p> <p> </p>
FieldTrip tutorial - CuttingEEG 2021
<p>This is the dataset for the FieldTrip tutorial at <a href="https://cuttingeeg2021.org/">CuttingEEG 2021</a>. It consists of the 64-channel EEG data of a single participant to the study published in <a href="https://doi.org/10.1371/journal.pone.0014465">https://doi.org/10.1371/journal.pone.0014465</a> and it is colloquially also known as the <a href="https://www.fieldtriptoolbox.org/tag/eeg-language/">eeg-language</a> tutorial dataset. </p> <p>The full tutorial can be found on <a href="https://www.fieldtriptoolbox.org/workshop/cuttingeeg2021">https://www.fieldtriptoolbox.org/workshop/cuttingeeg2021</a>.</p> <p>Running the tutorial requires MATLAB and a recent version of the FieldTrip toolbox that you can download from <a href="https://github.com/fieldtrip/fieldtrip/releases">https://github.com/fieldtrip/fieldtrip/releases</a>. Since we will use some cutting-edge functionality that was recently added to FieldTrip, you should download and install version <a href="https://github.com/fieldtrip/fieldtrip/releases/tag/20210928">20210928</a> or later.</p>
DEEPICE data training - tutorial - "A little journey in Zenodo"
<p>This tutorial aims to explain how DEEPICE project members can deposit their data on Zenodo. It recalls the specific recommendations in terms of metadata and data description, and describes the steps of the deposit process.</p>
Advanced Macroeconomics: An Easy Guide - Simulating a DSGE Model Video Tutorial
<p>Can Soylu talks you over Appendix C on how to estimate DSGE models.</p> <p>This video was produced to accompany <a href="https://doi.org/10.31389/lsepress.ame">Advanced Macro-Economics: an Easy Guide</a>, available open access from LSE Press. </p> <p>Macroeconomic concepts and theories are among the most valuable for policy makers. Yet up to now, there has been a wide gap between undergraduate courses and the professional level at which macroeconomic policy is practiced. In addition, PhD-level textbooks rarely address the needs of a policy audience. So advanced macroeconomics has not been easily accessible to current and aspiring practitioners.</p> <p>This rigorous yet accessible book fills that gap. It was born as a Masters course that each of the authors taught for many years at Harvard’s Kennedy School of Government. And it draws on the authors’ own extensive practical experience as macroeconomic policymakers. It introduces the tools of dynamic optimization in the context of economic growth, and then applies them to policy questions ranging from pensions, consumption, investment and finance, to the most recent developments in fiscal and monetary policy.</p> <p>Written with a light touch, yet thoroughly explaining current theory and its application to policy-making, <em>Advanced Macroeconomics: An Easy Guide</em> is an invaluable resource for graduate students, advanced undergraduate students, and practitioners.</p>
Data for blockclust tutorial
<p>Data is taken from https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM769512.</p> <p>The 3' adapters of the reads were clipped and mapped to the reference genome (hg19) using segemehl.</p>
pypsa-earth_tutorial_networks
<p>Unsolved and solved networks for the tutorial config of pypsa-earth.</p>
Sample of seismic waveform data for rfmpy tutorial
<p>Sample of seismic waveform data for rfmpy tutorial (<a href="https://github.com/kemichai/rfmpy">https://github.com/kemichai/rfmpy</a>). Sub-set of seismic data from EASI seismic network that are cut around a number of different teleseismic events. The continuous full waveform data from EASI seismic network are available at: the European Integrated Data Archive EIDA; <a href="http://www.orfeus-eu.org/data/eida/">http://www.orfeus-eu.org/data/eida/</a> with the network code <strong>XT</strong>.</p>
Public Profile Settings (TRIPLE Video Tutorial Series)
<p>In this tutorial series, researcher Agnieszka Szulińska and Research Infrastructure Coordinator Edward Gray discuss gotriple.eu. This episode explores the opportunities GoTriple offers for the creation of a public profile.</p> <p>Video recorded and edited by Fabian Fess.</p>
MiniCorso Tutorial - Grafici in R
<p>In questo minicorso, facente parte della collezione <a href="https://www.youtube.com/playlist?list=PLXBZ0jvtlWH6qL7SOKOddJ_7MioDid_Oo">acasaconSE</a> organizzato dalla associazione <a href="http://www.successionecologica.it/">Successione Ecologica</a>, vi parlo di come utilizzare il software R per la costruzione di grafici. </p> <p> </p>
Single-molecule datasets for Slitflow tutorials
<p>Datasets used in tutorials on Slitflow, a Python framework for single-molecule dynamics and localization analysis. For more information see https://slitflow.readthedocs.io</p>
CRCMDS - Tutorial - Advanced search
<p>Tutorial - Advanced search linked to the CRCMDS's Disability and Deafhood Database</p> <p><a href="https://chairemediashandicaps.uqam.ca/database/">https://chairemediashandicaps.uqam.ca/database/</a></p>
CRCMDS - Tutorial - Simple search
<p>Tutorial - Simple search linked to the CRCMDS's Disability and Deafhood Database</p> <p><a href="https://chairemediashandicaps.uqam.ca/database/">https://chairemediashandicaps.uqam.ca/database/</a></p>
jjn7702/zenodo: Zenodo Tutorial
<p>This dataset 0 row and 0 feature</p>
Intersubject correlation tutorial: Example data
<p>This dataset comprises preprocessed fMRI data acquired while participants listened to the "Pie Man" spoken story. The data accompany the manuscript "Measuring shared responses across subjects using intersubject correlation" by Nastase, Gazzola, Hasson, and Keysers:</p> <p>Nastase, S. A., Gazzola, V., Hasson, U., & Keysers, C. (2019). Measuring shared responses across subjects using intersubject correlation. <em>Social Cognitive and Affective Neuroscience</em>, <em>14</em>(6), 667–685. https://doi.org/10.1093/scan/nsz037</p> <p>These data are used in a tutorial notebook on intersubject correlation (ISC) analysis located on GitHub: https://github.com/snastase/isc-tutorial</p>
uMAIA tutorial dataset
<p>These are raw MALDI IMS of embryonic zebrafish at 72 hours post fertilisation. They are used as an example dataset for the application of uMAIA, a method to process MALDI IMS data.</p>
XCT dataset for the Fiji tutorial
<p>A sample XCT dataset for the Fiji tutorial.</p>
Sample data for Galaxy genome assembly tutorials
<p>Datasets for assembly tutotorials.</p>
Web Based Patient Tutorial on Prolonged Grief
ClinicalTrials.gov study NCT05575817. IPD Sharing: NO. Countries: 1. Publications: 2.
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.