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29
datasets available to search
ShareScore release 0.9.0
Dataset results
29 results for “collections users”
Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments
<p><strong>Supplemental data for the manuscript </strong></p> <p><strong>"Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments".</strong></p> <p>Content</p> <ul> <li>functional_annotations.tar.gz <ul> <li> functional annotations for 10 different functional annotation systems, for 5090 species</li> </ul> </li> <li> genome_info_and_statistics.tar.gz <ul> <li>basic genome info, annotation system statistics, user query statistics</li> </ul> </li> <li>example_user_queries.tar.gz <ul> <li>three example files for user query inputs used in the analysis </li> </ul> </li> <li>README.txt <ul> <li>details about the files and file formats</li> </ul> </li> </ul>
Grey literature strategies survey results and questionnaires: producers, users and collecting services
<p>Survey results from three online surveys conducted in 2013 of research producing organisations,research users and collecting services involved in research for public policy and practice. Most respondents were from Australia. </p> <p>Questionnaires and SPSS versions also provided.</p> <p>Results have been published in various publications available in this collection.</p> <p> </p> <p> </p>
User Generated Content (EOL v2): selected collection IDs
EOL v2 collections containing 3 or more taxa, not including content partner resource collections For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user activity collections (json format)
<p></p>https://eol-jira.bibalex.org/browse/DATA-1780 Data as of Oct 28, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user activity collections
<p></p>https://eol-jira.bibalex.org/browse/DATA-1780 Data as of Oct 28, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
Collection of user-specific configuration files (also known as dotfiles)
<p>A collection of dotfiles repositories collected from GitHub</p> <p> </p> <p>Also includes card sorting results based on 400 sampled commits from the dotfiles repositories.</p>
FREYA Ambassadors' Webinar - PIDs in use: collecting user stories
<p>Webinar outline</p> <ol> <li> <p><strong>Welcome and introduction FREYA team </strong></p> </li> <li> <p><strong>Go through structure of the webinar </strong></p> </li> <li> <p><strong>Introduction of what a user story is</strong></p> </li> <li> <p><strong>Discussion:</strong></p> </li> </ol> <p><strong> </strong></p>
Designing a User Interface to Explore Collections of Directly-Follows Graphs for Process Mining Analysis - Supplementary Material
<p>Supplementary Material for paper: "Designing a User Interface to Explore Collections of Directly-Follows Graphs for Process Mining Analysis", submitted to BPMDS 2024</p>
Finding Relevant User Comments Evaluation collection - FRUCE
<p>FRUCE (Finding Relevant User Comments Evaluation Collection) is an evaluation collection for IR systems created by the Semantic Access and Retrieval (SAR) group of ISL of FORTH. It is specifically designed for evaluating the retrieval of user reviews/comments about hotels. That means, that it contains query-review pairs alongside with their binary relevance, in contrast to the traditional IR evaluation collections, that mainly consist of query-document pairs. The main difference between those two, is the size of the retrieved source, which represents the informative power of the plain text that constitutes the source.</p>
Data collected from user evaluation of dataset search using similarity methods
<p>The data in this dataset was collected from a user evaluation of dataset search using similarity methods in data catalogs. It is linked to the dataset metadata in the data catalog used for the evaluation, which is available in https://doi.org/10.5281/zenodo.4433464.</p>
Supplementary material 14 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
Calculations for translation to value
Supplementary material 13 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
Calculations for key insights
Supplementary material 12 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
Researchers by country
Supplementary material 11 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
Publications by region of researcher
Supplementary material 8 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
UK peer reviewed journal articles over time
Supplementary material 3 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
Users and usage of UK collections data – researcher interview guide
Supplementary material 7 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
GBIF publications over time
Supplementary material 2 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
Data engineering user guide
Supplementary material 5 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
UK institution specimens by country of origin
Supplementary material 4 from: Hardy H, Livermore L, Kersey P, Norris K, Smith VS (2023) Understanding the users and uses of UK Natural History Collections. Research Ideas and Outcomes 9: e113378. https://doi.org/10.3897/rio.9.e113378
GBIF occurrences by continent of origin
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.