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Dataset results
248 results for “research groups”
Research data for "Hutters in the Zamoyski Family Entail - history of an environmentally conditioned social group"
<p>Research data for "Hutters in the Zamoyski Family Entail - history of an environmentally conditioned social group" (v1_2024)</p>
Jisc Research Data Shared Service metadata focus group use cases
<p>Dataset of use cases collected between July and October 2016 during a series of metadata focus groups conducted with a number of the <strong>Research Data Shared Service</strong> pilots who volunteered for the process.</p> <p>This dataset is available in two formats (including an open format) with the same content: 180 use cases in the following user story structure: </p> <ul> <li><strong>As a</strong></li> <li><strong>Theme</strong></li> <li><strong>I want </strong></li> <li><strong>So that</strong></li> <li><strong>Comments</strong></li> </ul> <p>The .xlsx file contains additional formatting grouping the use cases by theme, role, data and community.</p>
Research Data Alliance Interest Group Professionalising Data Stewardship Career Tracks Survey Dataset
<p>This is the final dataset resulting from the data steward Career Tracks survey that the Reseach Data Alliance (RDA) Interest Group Professionalising Data Stewardship carried out in 2022. Data stewards were defined as professionals who aim at guaranteeing that data is appropriately treated in all stages of the research cycle (i.e., design, collection, processing, analysis, preservation, data sharing and reuse); we invited responses from participants who either now or in the past carried out data stewardship functions, regardless of their job title. The survey asked respondents about their job titles, the organizational context in which they work(ed) including contract types and domains, their educational background, and how they perceive their professional future. </p><p>This dataset publication includes:</p><ol><li>Survey response data in CSV format. The file includes data from 241 respondents who consented to participate in the survey and share the data via a repsoitory, who indicated that they either currently work or have worked in the past in a data stewardship role, and who responded to at least one further question.</li><li>Thematic analysis of the qualitative questions Q11 and Q12 in PDF format.</li></ol>
Small Group and Survey Datasets: "Fostering Metacognition and Feedback Loops in a Summer Undergraduate Research Program: A Pilot Study"
<p>These datasets accompany the paper "Fostering Metacognition and Feedback Loops in a Summer Undergraduate Research Program: A Pilot Study" by Chad Curtis PhD and Kaytlin Gomez.</p> <p>The first dataset consists of free responses from n=12 students researchers during a Small Group Metacognitive Practice (SGMP) intervention conducted during the 2023 INBRE Summer Undergraduate Research Fellowship (iSURF) at Nevada State University. The files include:</p> <ul> <li><strong>transcription.docx</strong>: Transcriptions of both individual (n=12) and small group (n=4) responses from the SGMP session.</li> <li><strong>codingR1.xlsx</strong>: Codings used for the thematic analysis, as coded by the primary investigator.</li> <li><strong>codingR2.xlsx: </strong>Codings used for the thematic analysis, as coded by the co-author.</li> <li><strong>KrippendorffAlpha.xlsx</strong>: Inter-coder reliability calculations using Krippendorff's alpha.</li> </ul> <p>The survey data was collected from n=11 participants at the end of the summer research program. The files include:</p> <ul> <li><strong>surveyData.csv</strong>: Anonymized responses to survey questions regarding the SGMP intervention.</li> </ul> <p>This study was approved by the Nevada State University Review Board (Protocol #2305-0346). All procedures in the study were conducted in accordance with approved protocols. Written informed consent was obtained from the subjects for their anonymized information to be published with the article.</p>
Data of Chinese treatment group for the research work "Disentangling material, social, and cognitive determinants of human behavior and belief".
<p>This repository contains data files of Chinese treatment group for the research work "Disentangling material, social, and cognitive determinants of human behavior and belief".</p>
HRE2021-0515-03 Research Data: Focus Group Transcripts
<p>The Centre for Culture and Technology (CCAT) at Curtin University undertook a project aiming to provide better support for grey literature research outputs including reports, working papers and blog posts. </p> <p>The research team for the project ‘Increasing the Visibility of Grey Literature’ was:</p> <ul> <li>Professor Katie Ellis, Centre for Culture and Technology</li> <li>Niamh Quigley, Research Associate, Centre for Culture and Technology</li> </ul> <p>This dataset contains the deidentified transcripts of two focus groups held with producers of grey literature at Curtin University, Perth, Australia. The participants have been deidentified, and named as P1 to P9. In focus group 1, P1 was an observer. In focus group 2, P8 was both an observer and also participated. The online focus groups were conducted on 27/01/2022 and 01/02/2022. This research project has approval from the Curtin University Human Research Ethics Office (HRE2021-0515-03).</p> <p>The focus group interview guide is available at <a href="https://doi.org/10.5281/zenodo.6139781">https://doi.org/10.5281/zenodo.6139781</a></p>
Evaluating an instrument of the research software related to software use and disclosure - Dimension 1 - Dataset of Focus Groups
<p>Artifacts used for data collection and analysis of the focus groups sessions during the evaluation of an instrument for research software related to software use and disclosure - dimension 1.</p>
Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group
<p>Example datasets and code for the recommended implementation of Quantitative Susceptibility Mapping (QSM) in "Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group".</p>
Illustrations from the Research Engineering Group: Shared under CC-BY 4.0 for reuse
<p>Illustrations created by <a href="http://www.scriberia.co.uk/">Scriberia</a> as part of the Research Engineering Group (REG) illustration sprints in 2022. They depict a variety of content to describe how REG work and the team’s makeup. More information about the team can be found at <a href="https://www.turing.ac.uk/research/research-engineering">https://www.turing.ac.uk/research/research-engineering</a>.</p> <p>When using any of the images, please include the following attribution with the specific DOI:</p> <blockquote> <p><em>This illustration is created by Scriberia with the Research Engineering Group. Used under a CC-BY 4.0 licence. DOI: </em><a href="https://doi.org/10.5281/zenodo.7785796">10.5281/zenodo.7785796</a></p> </blockquote> <p>Please note that these images are shared here in the original format and size. Individual illustrations are provided as <strong>.jpg</strong> and <strong>.tif</strong> files.</p> <p>We encourage the use and re-use of these images as much as possible. This includes remixing the images, for example changing the colours, translating text, or merging them together with additional (openly licensed) images. If you'd like to change the colours of the image, for example to align with other elements of your presentation, Alex Chan has written a <a href="https://alexwlchan.net/2020/02/adjusting-the-dominant-colour-of-an-image/">guide for changing the dominant colour in an image</a> which we hope is helpful.</p> <p>If you create something that others may benefit from, we encourage you to contribute your image back to REG.</p>
Companion documents of the article entitled "State of the art of research towards sustainable power electronics" from the workgroup CEPPS, research group SEEDS, CNRS, France.
<p>These documents accompany the article "State of the art of research towards sustainable power electronics", produced by members of the CEPPS working group, part of the SEEDS research group. These documents include: a list of keywords for bibliographic queries; a list of articles extracted; a list of journals, conferences and key players in the field; and a review of indicators.</p>
Biological Samples Inventory from the "Exercise, Nutrition, and Healthy Lifestyle Research Group" (INCLIVA)
<h4><strong>Title: </strong>Biological Matrices Inventory from the Exercise, Nutrition, and Healthy Lifestyle Research Group (INCLIVA)</h4> <h4><strong>Author: </strong>Exercise, Nutrition, and Healthy Lifestyle Research Group, INCLIVA</h4> <p><strong>Abstract:</strong><br>This dataset contains detailed information about the biological matrices available in the Exercise, Nutrition, and Healthy Lifestyle Research Group at INCLIVA. The dataset is in Excel format and is organized into three sheets:</p> <ol> <li><strong>Read-me:</strong> Explains how the data is organized and the conventions used.</li> <li><strong>Mouse Samples Inventory:</strong> Details the mouse-derived samples, including their origin and characteristics.</li> <li><strong>Human Samples Inventory:</strong> Provides information on the human-derived samples available, including their origin and characteristics.</li> </ol> <p>This resource is intended for researchers seeking collaborations.</p> <h4><strong>Keywords: </strong>Biological matrices, Nutrition, Healthy lifestyle, Physical exercise, Biobanks, INCLIVA, Public health</h4>
Databases and information systems for research output: digital humanities outlook (DARIAH Bibliographical Data Working Group, September, 30th 2022)
<p>The video recording of the workshop "Databases and information systems for research output: digital humanities outlook" organized by DARIAH Bibliographical Data Working Group.</p>
COAR RDM (Research Data Management) Working Group
<p>This presentation was made in the internal meeting of COAR RDM (Research Data Management) Working Group. It covered building up support structure for RDM and the requirements for infrastructures including a use case from Vienna University.</p>
Research data for: Patchy energy landscapes promote stability of small groups of active particles
<p>Research data supporting the pubblication "Patchy energy landscapes promote stability of small groups of active particles"</p>
logo innovation, sustainability and business development research group
<p>Logo research group. Innovación, Sostenibilidad y Desarrollo Empresarial (ISDE)</p>
Brian Vickery and the Classification Research Group:the legacy of faceted classification
<p>This paper considers the impact of faceted classification as it developed in the United<br> Kingdom; it examines the origins of the Classification Research Group and Brian Vickery’s<br> unique contribution to it, and the way in which faceted classification today has fulfilled<br> the objectives of the CRG’s 1955 manifesto to make ‘faceted classification the basis of all<br> information retrieval’.</p>
Results of the ISMRM 2020 joint Reproducible Research & Quantitative MR study groups reproducibility challenge on phantom and human brain T<sub>1</sub> mapping
<p>This dataset includes both raw data and processed T1 maps obtained from the 2020 challenge on inversion recovery T1 mapping organized by the International Society in Magnetic Resonance in Medicine (ISMRM) Reproducible Research Study Group (RRSG). For a comprehensive overview of the data distribution submitted for this challenge, please visit <a href="https://rrsg2020.db.neurolibre.org/">https://rrsg2020.db.neurolibre.org</a>. It's important to note that this dataset exclusively comprises ISMRM-NIST system phantom data.</p> <p>Dataset provided for NeuroLibre preprint. Author repo: https://github.com/rrsg2020/paper NeuroLibre fork:https://github.com/roboneurolibre/paper</p> <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/14">NeuroLibre technical screening.</a></p> <p><strong><a href="https://neurolibre.org">https://neurolibre.org</a></strong></p>
Collaborative Research Group for Necrotizing Enterocolitis
ClinicalTrials.gov study NCT00828451. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Course materials and datasets for the Alivisatos group-based undergraduate research program
Open the record for dataset details and reuse information.
ISMRM Reproducible Research Study Group: Data for the paper "CG-SENSE revisited: Results from the first ISMRM reproducibility challenge"
<p>Challange data (brain/heart) and supplementary data (cardiac/rawdata_sprial) for the paper "CG-SENSE revisited: Results from the first ISMRM reproducibility challenge".</p>
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.