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.
1,453
datasets available to search
ShareScore release 0.9.0
Dataset results
1,453 results for “Outcome research”
Figure 3b from: Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502
Figure 3b - From Masclef (1891).
Figure 4b from: Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502
Figure 4b - From Bendiscioli (1827).
Figure 13b from: Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502
Figure 13b - Light color morph.
Figure 8 from: Penev L, Mietchen D, Chavan V, Hagedorn G, Smith V, Shotton D, Ó Tuama É, Senderov V, Georgiev T, Stoev P, Groom Q, Remsen D, Edmunds S (2017) Strategies and guidelines for scholarly publishing of biodiversity data. Research Ideas and Outcomes 3: e12431. https://doi.org/10.3897/rio.3.e12431
Figure 8 - Import of a data paper manuscript from EML file in the ARPHA Writing Tool.
Figure 2 from: Penev L, Mietchen D, Chavan V, Hagedorn G, Smith V, Shotton D, Ó Tuama É, Senderov V, Georgiev T, Stoev P, Groom Q, Remsen D, Edmunds S (2017) Strategies and guidelines for scholarly publishing of biodiversity data. Research Ideas and Outcomes 3: e12431. https://doi.org/10.3897/rio.3.e12431
Figure 2 - Import of specimen records from GBIF, BOLD, iDigBio and PlutoF into ARPHA manuscripts.
Figure 4 from: Jordan K, Keshavan A, Mandelli M, Henry R (2017) Cluster-viz: A Tractography QC Tool. Research Ideas and Outcomes 3: e12394. https://doi.org/10.3897/rio.3.e12394
Figure 4 - Flowchart of the Cluster-viz web application
Figure 2 from: Keshavan A, Klein A, Cipollini B (2017) Interactive online brain shape visualization. Research Ideas and Outcomes 3: e12358. https://doi.org/10.3897/rio.3.e12358
Figure 2 - Example of a selected region and its accompanying boxplot.
Figure 1 from: Keshavan A, Klein A, Cipollini B (2017) Interactive online brain shape visualization. Research Ideas and Outcomes 3: e12358. https://doi.org/10.3897/rio.3.e12358
Figure 1 - Example visualization
Figure 3 from: Keshavan A, Klein A, Cipollini B (2017) Interactive online brain shape visualization. Research Ideas and Outcomes 3: e12358. https://doi.org/10.3897/rio.3.e12358
Figure 3 - Example master/slave visualization
Figure 3 from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 3 - Example of new line graph function for longitudinal data
Figure 1b from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 1b -
Figure 1a from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 1a -
Figure 1 from: Ito K, Anglin J, Liew S (2017) Semi-automated Robust Quantification of Lesions (SRQL) Toolbox. Research Ideas and Outcomes 3: e12259. https://doi.org/10.3897/rio.3.e12259
Figure 1 - White Matter Correction Pipeline; WM = white matter; SD= standard deviation
Figure 1 from: Despot-Belmonte K, Neßhöver C, Saarenmaa H, Regan E, Meyer C, Martins E, Groom Q, Hoffmann A, Caine A, Bowles-Newark N, Bae H, Canhos D, Stenzel S, Bowler D, Schneider A, V. Weatherdon L, S. Martin C (2017) Biodiversity data provision and decision-making - addressing the challenges. Research Ideas and Outcomes 3: e12165. https://doi.org/10.3897/rio.3.e12165
Figure 1 - The main users of biodiversity data.
Figure 3 from: Despot-Belmonte K, Neßhöver C, Saarenmaa H, Regan E, Meyer C, Martins E, Groom Q, Hoffmann A, Caine A, Bowles-Newark N, Bae H, Canhos D, Stenzel S, Bowler D, Schneider A, V. Weatherdon L, S. Martin C (2017) Biodiversity data provision and decision-making - addressing the challenges. Research Ideas and Outcomes 3: e12165. https://doi.org/10.3897/rio.3.e12165
Figure 3 - Discussing the development of the "Red Book" of Brazilian plants - case study.
Figure 4b from: Despot-Belmonte K, Neßhöver C, Saarenmaa H, Regan E, Meyer C, Martins E, Groom Q, Hoffmann A, Caine A, Bowles-Newark N, Bae H, Canhos D, Stenzel S, Bowler D, Schneider A, V. Weatherdon L, S. Martin C (2017) Biodiversity data provision and decision-making - addressing the challenges. Research Ideas and Outcomes 3: e12165. https://doi.org/10.3897/rio.3.e12165
Figure 4b - Developing the brief
Figure 4a from: Despot-Belmonte K, Neßhöver C, Saarenmaa H, Regan E, Meyer C, Martins E, Groom Q, Hoffmann A, Caine A, Bowles-Newark N, Bae H, Canhos D, Stenzel S, Bowler D, Schneider A, V. Weatherdon L, S. Martin C (2017) Biodiversity data provision and decision-making - addressing the challenges. Research Ideas and Outcomes 3: e12165. https://doi.org/10.3897/rio.3.e12165
Figure 4a - Workshop participants
Figure 1d from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029
Figure 1d - All taxa
Figure 1b from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029
Figure 1b - Fungi
Figure 1c from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029
Figure 1c - Animals
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.