Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
11,177
datasets available to search
ShareScore release 0.9.0
Dataset results
11,177 results for “identify”
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Philippus van Harreveld, <a href="http://www.wikidata.org/entity/Q112645031">http://www.wikidata.org/entity/Q112645031</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Julius von Haast, <a href="http://www.wikidata.org/entity/Q213922">http://www.wikidata.org/entity/Q213922</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Johannes Johannessen, <a href="http://www.wikidata.org/entity/Q109345602">http://www.wikidata.org/entity/Q109345602</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Data, Scripts underlying the publication: Identifying the critical turbidity threshold to maintain estuarine tidal flats worldwide
<p>Data & Scripts featured in the currently unpublished manuscript (as of 21-07-2023) Grandjean et al.: 'Identifying the critical turbidity threshold to maintain estuarine tidal flats worldwide'. This study explores the relationship between tidal range and turbidity concentrations on the morphological trajectory of unvegetated tidal flats at a global scale. These files include the scripts used to produce digital elevation models per estuary.</p> <p> </p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Hans Christian Lyngbye, <a href="http://www.wikidata.org/entity/Q323574">http://www.wikidata.org/entity/Q323574</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Similarity network fusion to identify phenotypes of small for gestational age fetuses
<p>Fetal growth restriction (FGR) affects 5-10% of pregnancies, is the largest contributor to fetal death, and can have long-term consequences for the child. Implementation of a standard clinical classification system is hampered by the multiphenotypic spectrum of small fetuses with substantial differences in perinatal risks. Machine learning and multiomics data can potentially revolutionize clinical decision-making in FGR by identifying new phenotypes. Herein, we describe a cluster analysis of FGR based on an unbiased machine-learning method. Our results <em>confirm</em> the existence of two subtypes of human FGR with distinct molecular and clinical features based on multi-omic analysis. In addition, we demonstrated that clusters generated by machine learning significantly outperform single data subtype analysis and biologically support the current clinical classification in predicting adverse maternal and neonatal outcomes. Our approach can aid in the refinement of clinical classification systems for FGR supported by molecular and clinical signatures. </p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Amy Angeline Lillibridge, <a href="http://www.wikidata.org/entity/Q112606352">http://www.wikidata.org/entity/Q112606352</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Katherine Esau, <a href="http://www.wikidata.org/entity/Q568623">http://www.wikidata.org/entity/Q568623</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Mary Ann Loveland, <a href="http://www.wikidata.org/entity/Q98343572">http://www.wikidata.org/entity/Q98343572</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Jean-Pierre Gosse, <a href="http://www.wikidata.org/entity/Q16729391">http://www.wikidata.org/entity/Q16729391</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Gunnar Samuelsson, <a href="http://www.wikidata.org/entity/Q6090892">http://www.wikidata.org/entity/Q6090892</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by John Trevillian Linzey, <a href="http://www.wikidata.org/entity/Q99360530">http://www.wikidata.org/entity/Q99360530</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Charles Stewart Parker, <a href="http://www.wikidata.org/entity/Q21522639">http://www.wikidata.org/entity/Q21522639</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Luis Sodiro, <a href="http://www.wikidata.org/entity/Q3266829">http://www.wikidata.org/entity/Q3266829</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Identifying Interdisciplinary Research in Research Projects
<p>The dataset is based on the paper: </p> <p>Hoang-Son Pham, Bram Vancraeynest, Hanne Poelmans, Sadia Vancauwenbergh and Amr Ali-Eldin ‘’Identifying Interdisciplinary Research in Research Projects’’, Scientometrics (Accepted).</p> <p>The dataset includes: </p> <p>1. FRIS_project_2019: a list of project metadata extracted from FRIS portal</p> <p>2. VODS_disciplines: a list of VODS disciplines</p> <p>3. Distance matrix: Distance matrix</p> <p> </p> <p>* Kindly refer to our paper for more details on the dataset.</p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Trevor William Tailby, <a href="http://www.wikidata.org/entity/Q121009346">http://www.wikidata.org/entity/Q121009346</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Thomas E. Talpey, <a href="http://www.wikidata.org/entity/Q121009126">http://www.wikidata.org/entity/Q121009126</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Richard W. Thorington Jr., <a href="http://www.wikidata.org/entity/Q19599659">http://www.wikidata.org/entity/Q19599659</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Pearl Lee Boone, <a href="http://www.wikidata.org/entity/Q56289965">http://www.wikidata.org/entity/Q56289965</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Erik Gustav Edelfelt, <a href="http://www.wikidata.org/entity/Q107451010">http://www.wikidata.org/entity/Q107451010</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
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.