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Dataset results
6 results for “OAI”
Video: Crashkurs Digitale Langzeitarchivierung - Das Referenzmodell Open Archival Information System (OAIS)
<p>Dieser Crashkurs stellt das Referenzmodell Open Archival Information System (OAIS) vor, das die verschiedenen Tätigkeitsbereiche eines Langzeitarchivs beschreibt. Als internationaler Standard (ISO 14721) bietet das OAIS-Modell eine Kommunikationsgrundlage zum Thema der Digitalen Langzeitarchivierung. So sind zentrale OAIS-Begriffe wie Preservation Planning, Archival Information Package und Designated Community in der Langzeitarchivierungs-Community etabliert.</p> <p>In dieser Einführung werden die Aufgaben eines Digitalen Langzeitarchivs anhand der verschiedenen OAIS-Funktionseinheiten beschrieben. Ebenso bietet der Crashkurs einen Überblick über die verschiedenen Verarbeitungsstadien von Informationspaketen (SIP, AIP, DIP) in einem Langzeitarchiv.</p> <p>Dieser Crashkurs wurde als Lehrvideo für das Teil-Modul "Digitale Langzeitarchivierung" des <a href="https://www.th-koeln.de/weiterbildung/zertifikatskurs-data-librarian_63393.php">Zertifikatskurses "Data Librarian"</a> erstellt. Der Zertifikatskurs wurde 2019/2020 vom Zentrum für Bibliotheks- und Informationswissenschaftliche Weiterbildung der Technischen Hochschule Köln unter wissenschaftlicher Leitung von Prof. Dr. Konrad Förstner ausgerichtet.</p>
ArXiv OAI-PMH arXivRaw publication metadata
<p>This dataset contains <a href="https://www.openarchives.org/pmh/">OAI-PMH</a> metadata for all <a href="https://arxiv.org/">ArXiv</a> publications up until 2024-04-23 in the <a href="http://arxiv.org/OAI/arXivRaw.xsd"><em>arXivRaw</em> XML format</a>.</p> <p>The metadata has been harvested using the <a href="https://github.com/miku/metha/releases/tag/v0.3.3"><em>metha</em> Go package v0.3.3</a> [1] on <a href="https://go.dev/"><em>go1.18</em></a>. Specifically, harvesting was run on a small HPC cluster using the following <a href="https://slurm.schedmd.com">SLURM</a> script. The script had to be scheduled twice due to the connection being reset by the peer (see <em>combined-slurm.out</em>). <em>metha</em> caters for these situations and is able to pick up where it left off with cumulative harvesting.</p> <pre><code>#!/bin/bash #SBATCH --job-name=metha #SBATCH --nodes=1 #SBATCH --cpus-per-task=1 #SBATCH --ntasks=1 #SBATCH --time=10-20:00:00 module purge echo "Installing Go module." module add go/go-1.18/go-1.18-gcc-9.4.0-okbjyoy echo "Installed Go module: $(go version)." echo "Installing metha." go install -v github.com/miku/metha/cmd/...@latest echo "Installed metha: $(<retracted>/go/bin/metha-sync -v)" echo "Harvesting ArXiv OAI-PMH metadata in format 'arXivRaw' from http://export.arxiv.org/oai2." <retracted>/go/bin/metha-sync -T 5m -base-dir /scratch/<retracted>/arxiv -format "arXivRaw" http://export.arxiv.org/oai2 # For the second run, '-from' was specified to pick up the harvest where it was left off. # <retracted>/go/bin/metha-sync -from 2020-09-29 -T 5m -base-dir /scratch/<retracted>/arxiv -format "arXivRaw" http://export.arxiv.org/oai2 echo "Done." exit 0</code></pre> <h2>Dataset contents</h2> <p>This deposit of the dataset contains the following files:</p> <ul> <li><strong>metha-output-OAI-PMH-arXivRaw-until-2024-03-24.tar.gz</strong>: an archive file containing the archive files (gzipped, <em>*.xml.gz</em>) produced by <em>metha</em>, which in turn contain the XML metadata files. The gzipped files contained in the archive are named following the pattern <em>YYYY-MM-DD-<8-digit zero-padded 0-index file count>.xml.gz</em>, e.g., <em>2024-03-24-00000001.xml.gz</em>.</li> <li><strong>README.md</strong>: This file, containing basic information about the dataset and deposit.</li> <li><strong>combined-slurm.out</strong>: The combined SLURM log for the two consecutive SLURM runs that have produced the dataset. Run-specific information has been retracted.</li> </ul> <h2>Reproducibility</h2> <p>As the OAI-PMH metadata is not static but may change at any time, this dataset isn't fully reproducible. However, running the same <em>metha</em> version on the same <em>go</em> version with the same commands should yield very similar results, but will contain newer metadata.</p> <h2>Licenses</h2> <ul> <li>All ArXiv OAI-PMH metadata is <a href="https://info.arxiv.org/help/license/index.html#metadata-license">licensed</a> under <a href="https://creativecommons.org/publicdomain/zero/1.0/deed">CC0-1.0</a>.</li> <li>combined-slurm.out is licensed under <a href="https://creativecommons.org/publicdomain/zero/1.0/deed">CC0-1.0</a>.</li> <li>README.md is licensed under <a href="https://creativecommons.org/publicdomain/zero/1.0/deed">CC0-1.0</a>.</li> </ul> <p>Licenses are documented in a machine-readble manner following the <a href="https://reuse.software/spec/">REUSE 3.0 Specification</a>. License deeds are included in this deposit as <em>.txt</em> files named using the respective SPDX license identifiers.</p> <p>[1] Martin Czygan, Thomas Gersch, ACz-UniBi, Justin Kelly, Gunnar Þór Magnússon, dvglc, & Natanael Arndt. (2024). miku/metha: v0.3.3 (v0.3.3). Zenodo. doi:<a href="https://doi.org/10.5281/zenodo.10940212">10.5281/zenodo.10940212</a>.</p>
The Outer OAIS - Inner OAIS (OO-IO) Model and use in Distributed Digital Preservation (DDP)
<p>This recording provides an overview (38 minutes) of the Outer OAIS-Inner OAIS (OO-IO) Model by Eld Zierau. The OO-IO model uses the Open Archival Information System (OAIS) Reference Model to provide a more detailed explanation of distributed digital preservation. Eld ZIerau, a digital preservation specialist at the Royal Danish Library, envisioned and specified the OO-IO model. Nancy McGovern, Director of Digital Preservation at MIT Libraries, collaborated on and contributed to the OO-IO model.</p> <p>This upload is identical to the version on Vimeo: https://vimeo.com/233024801</p>
OAI responses
<p>The 1193 OAI services and the number of records they returned</p>
Data and code from: Improving accuracy and reproducibility of cartilage T2 mapping in the OAI dataset through extended phase graph modeling
<p>The repository contains the OAI data used to run the experiments reported in the study "Improving accuracy and reproducibility of cartilage T2 mapping in the OAI dataset through extended phase graph modeling", along with their segmentation and processed T2 maps with the different fitting algorithms.</p> <p>The <em><strong>code_repository</strong></em> folder contains a snapshot of the <a href="https://github.com/barma7/EPGfit_for_cartilage_T2_mapping">GitHub repository</a> at the time of the submission of the manuscript. Please visit the GitHub repository for the latest version. </p>
Osteoarthritis Initiative (OAI): A Knee Health Study
ClinicalTrials.gov study NCT00080171. IPD Sharing: Not stated. Countries: 1. Publications: 35.
ScienceDex guides
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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.