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.
3,673
datasets available to search
ShareScore release 0.9.0
Dataset results
3,673 results for “practices”
Fig. 1 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 1. The reference highlighted in yellow is listed under the references section, even though it has not been cited anywhere else in the article (Coritico et al. 2017).
Fig. 4 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 4. The references highlighted in orange are not listed in the References section whereas the reference in yellow, because it is recent, is listed (Ardenghi et al. 2016).
Fig. 3 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 3. Contrary to the example in Fig. 2, and despite it being published in the same journal, here "Cholnoky 1957" is cited only in the taxonomic treatment (and nowhere else in the text) and referenced under the bibliographic section (Jahn et al. 2017).
Fig. 7 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 7. In this article the reference highlighted in orange indicates a reference that is only cited under taxonomic treatment and listed under the references section; in yellow a reference that is cited elsewhere thus listed under the references section; in blue are the references that should have been listed but are not in the references section (Waite R. & Allmon W.D. 2016).
Fig. 9 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 9. In this example the references in yellow are not provided in the bibliographic section, but the the one in green is, because it has been formally mentioned elsewhere in the article as a reference (Rakotondrainibe & Jouy 2016).
Fig. 10 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 10. In this article "Utinomi 1958" is cited only in the taxonomic treatment (but nowhere else in the text) and referenced in the bibliographic section (Yu et al. 2017).
Fig. 5 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 5. Authorship formally presented as a reference. A. Kim et al. (2017). B. Lanteri & del Rio (2017).
Fig. 8 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 8. All authorships cited highlighted in yellow are listed in the references section even though they are not cited as a bibliographic reference anywhere else in the text (Pole & McLoughlin 2017).
Comparing Lower-concentration Dysport Treatment Targeted to the Neuromuscular Junction With Current Clinical Practice
ClinicalTrials.gov study NCT01682148. IPD Sharing: YES. Countries: 4. Publications: 1.
Global Study to Assess the Safety and Effectiveness of Edoxaban (DU-176b) vs Standard Practice of Dosing With Warfarin in Patients With Atrial Fibrillation
ClinicalTrials.gov study NCT00781391. IPD Sharing: YES. Countries: 46. Publications: 35.
Horyzons: Implementation in Clinical Practice
ClinicalTrials.gov study NCT04673851. IPD Sharing: YES. Countries: 1. Publications: 1.
B-CD30 + Hodgkin Lymphoma International Multi-center Retrospective Study of Treatment Practices and Outcomes
ClinicalTrials.gov study NCT03327571. IPD Sharing: YES. Countries: 1. Publications: 2.
Intervention to Improve Driving Practices Among High-Risk Teen Drivers
ClinicalTrials.gov study NCT04317664. IPD Sharing: YES. Countries: 1. Publications: 17.
Implementing Evidence-Based Mental Health Practices in Primary Care
ClinicalTrials.gov study NCT00996775. IPD Sharing: YES. Countries: 1. Publications: 3.
Clinical Effectiveness of Body Fat Distribution Imaging in Real-World Practice: The BODY-REAL Study
ClinicalTrials.gov study NCT04763772. IPD Sharing: YES. Countries: 1. Publications: 1.
Phylogenomics and biogeography of Torreya (Taxaceae) – Integrating data from three organelle genomes, morphology, and fossils and a practical method for reducing missing data from RAD-seq
Open the record for dataset details and reuse information.
Data on transit history and anti-fouling practices for ships arriving to the Canadian Arctic
Open the record for dataset details and reuse information.
Agricultural plastic pollution reduces soil function even under best management practices
Open the record for dataset details and reuse information.
Data from: Impacts of management practices on habitat selection during juvenile mountain lion dispersal
Open the record for dataset details and reuse information.
The practice and promise of temporal genomics for measuring evolutionary responses to global change
Open the record for dataset details and reuse information.
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.