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.
200
datasets available to search
ShareScore release 0.9.0
Dataset results
200 results for “Research integrity”
Figure 4 from: Toro R, Bakker R, Delzescaux T, Evans A, Tiesinga P (2018) FIIND: Ferret Interactive Integrated Neurodevelopment Atlas. Research Ideas and Outcomes 4: e25312. https://doi.org/10.3897/rio.4.e25312
Figure 4 Deep-zoom viewer. Functional prototype of a deep zoom viewer for histology data, with slice navigator, scale bar, vectorial overlay, and contact strip to select among several slices. Histology data obtained from the Allen Institute for Brain Research.
Figure 1 from: Toro R, Bakker R, Delzescaux T, Evans A, Tiesinga P (2018) FIIND: Ferret Interactive Integrated Neurodevelopment Atlas. Research Ideas and Outcomes 4: e25312. https://doi.org/10.3897/rio.4.e25312
Figure 1 Ferret brain development. (1) Quantitative T2 MRI. (2) Surface reconstructions. The ferret brain is smooth at birth. Brain folding develops during the 1st 2 postnatal weeks.
Figure 4 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Figure 4 Initial expertise (color of the bar) vs final confidence (y-axis) after the GRU workshop for participants responding to final survey. Example for how to interpret this graphic: the blue color bar at the top indicates that before the workshop roughly 50% of respondents said their knowledge of GEOLocate was "neither high nor low" but after the workshop these same respondents selected "much higher" for their knowledge of GEOLocate.
Figure 3 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Figure 3 An illustrative example of the two methods of uncertainty capture when georeferencing specimens. Method A, or polygon, creates a shape around the river (in blue). Method B, or point-radius, creates a circle of uncertainty around the origin. The illustration is based on output from GeoLocate software (Rios 2018) for both polygon and point-radius.
Figure 2 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Figure 2 This specimen record is an example from the University of California Collection Network Symbiota Portal. The large image is an edit of the record to include a medium size version of the image for easier viewing in this article. The portal software is open source and it is freely available for reuse through the Symbiota GitHub repository. The image is an example of a specimen record that includes an image of the specimen with label data. The image is contributed by the UCSB Invertebrate Zoology Collection at the Cheadle Center for Biodiversity and Ecological Restoration. The usage rights for the image is Creative Commons 0 (public domain).
Figure 1 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Figure 1 Map created using SimpleMappr (Shorthouse 2010) that illustrates geolocated specimens for Genus=Cicindela in California as found on iDigBio.
Exploring the ontological links between Human Ecodynamics and field Archaeology through the integration of archaeological reports into DataARC's landscape ontology (MPhil by research thesis)
<p>The Zip file contains another 8 different folders. In each one, you will find the images and charts from Skútustaðir’s Archaeological Reports (permalink to the reports: https://www.nabohome.org/cgi-bin/explore.pl?seq=3). Each folder corresponds to one report. File’s names are abbreviated. Please, see the attached metadata for a full understanding of the abbreviated names. These images and charts were produced as part of the creation of a dataset for my MPhil thesis.</p> <p>Project_files_metadata provides all the information necessary for understanding the Zip file (and its files) and the CSV.</p> <p>The CSV file contains the dataset created and used for my MPhil thesis.</p> <p>The project was carried out within the DataARC Project as an MPhil thesis. The thesis explores the creation of (archaeo-historical) knowledge using data within a general framework of Big Data. Human Ecodynamics is the <em>paradigm </em>which guides the DataARC Project. My project explores how to link grey data from archaeological reports into a general computational ontology developed for representing Human Ecodynamics by making use of multiple datasets.</p>
Figure 2 from: Evans N, Marusic A, Foeger N, Lofstrom E, van Hoof M, Vrijhoef-Welten S, Inguaggiato G, Dierickx K, Bouter L, Widdershoven G (2021) Virtue-based ethics and integrity of research: train-the-trainer programme for upholding the principles and practices of the European Code of Conduct for Research Integrity (VIRT2UE). Research Ideas and Outcomes 7: e68258. https://doi.org/10.3897/rio.7.e68258
Figure 2 Overview of the proposed Open platform for Blended learning. [Screenshot inset of Science Communicator, Derek Muller, of Veritasium Science Blog from the TED Talent Search You-Tube channel].
Figure 1 from: Evans N, Marusic A, Foeger N, Lofstrom E, van Hoof M, Vrijhoef-Welten S, Inguaggiato G, Dierickx K, Bouter L, Widdershoven G (2021) Virtue-based ethics and integrity of research: train-the-trainer programme for upholding the principles and practices of the European Code of Conduct for Research Integrity (VIRT2UE). Research Ideas and Outcomes 7: e68258. https://doi.org/10.3897/rio.7.e68258
Figure 1 Academic partners, advisory board and their associated networks. As shown, the networks that VIRT2UE PI's are involved in, together cover all European countries.
FIGURE 5 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 5. Male of T. q. pilleti Puissant ssp. n. in calling posture.
Integrated Cancer Repository for Cancer Research
ClinicalTrials.gov study NCT02012699. IPD Sharing: YES. Countries: 1. Publications: 0.
Integrated Multi-Mission Ocean Altimeter Data for Climate Research Version 5.2
The Integrated Multi-Mission Ocean Altimeter Sea Surface Height (SSH) Version 5.2 dataset provides level 2 along track sea surface height anomalies (SSHA) for 10-day cycles from the TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6A missions geo-referenced to a mean reference orbit. It is produced by NASA Sea Surface Height (NASA-SSH) project investigators at Goddard Space Flight Center and Jet Propulsion Laboratory with support from NASA’s Physical Oceanography program, and was developed originally as an Earth System Data Record (ESDR) under the Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, which supported forward processing and incremental refinements through version 5.1 (released in April 2022).<br>Geophysical Data Records (GDRs) from each altimetry mission were interpolated to a common reference orbit with biases and cross-calibrations applied so that the derived SSHA are consistent between satellites to form a single homogeneous climate data record. The entire multi-mission data record covers the period from September 1992 to present; it is extended to include new observations approximately once each quarter. The previous release (version 5.1) integrated Jason-3 data and applied revised internal tides and pole tide across missions (GDR_F standard). The current release (version 5.2) includes the following revisions: a) GSFC std2006_cs21 orbit for all missions, b) GOT5.1 ocean tide model, c) TOPEX/Poseidon GDR_F data, d) Sentinel-6 LR version F08 data, e) Jason-3 re-calibrated radiometer wet troposphere correction. More information about the data content and derivation can be found in the v5.2 User’s Handbook (https://doi.org/10.5067/ALTUG-TJ152).<br>Please note that this collection contains the same data as https://doi.org/10.5067/ALTTS-TJA52, re-organized into one netCDF file per cycle for convenience.
Integrated Multi-Mission Ocean Altimeter Data for Climate Research complete time series Version 5.2
The Integrated Multi-Mission Ocean Altimeter Sea Surface Height (SSH) Version 5.2 dataset provides level 2 along track sea surface height anomalies (SSHA) from the TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6A missions geo-referenced to a mean reference orbit. It is produced by NASA Sea Surface Height (NASA-SSH) project investigators at Goddard Space Flight Center and Jet Propulsion Laboratory with support from NASA’s Physical Oceanography program, and was developed originally as an Earth System Data Record (ESDR) under the Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, which supported forward processing and incremental refinements through version 5.1 (released in April 2022).<br>Geophysical Data Records (GDRs) from each altimetry mission were interpolated to a common reference orbit with biases and cross-calibrations applied so that the derived SSHA are consistent between satellites to form a single homogeneous climate data record. The entire multi-mission data record covers the period from September 1992 to present; it is extended to include new observations approximately once each quarter. The previous release (version 5.1) integrated Jason-3 data and applied revised internal tides and pole tide across missions (GDR_F standard). The current release (version 5.2) includes the following revisions: a) GSFC std2006_cs21 orbit for all missions, b) GOT5.1 ocean tide model, c) TOPEX/Poseidon GDR_F data, d) Sentinel-6 LR version F08 data, e) Jason-3 re-calibrated radiometer wet troposphere correction. More information about the data content and derivation can be found in the v5.2 User’s Handbook (https://doi.org/10.5067/ALTUG-TJ152).<br>Please note that this collection is the same data as https://doi.org/10.5067/ALTCY-TJA52 but with all cycles included in one netCDF file.
YM500: An integrative small RNA sequencing (smRNA-seq) database for microRNA research
GEO Series GSE39841. Homo sapiens. 34 samples. Type: Non-coding RNA profiling by high throughput sequencing.
sCLIP – An integrated platform to study RNA-protein interactome(s) in biomedical research: identification of CSTF2tau in alternative processing of small nuclear RNAs [CLIP-Seq]
GEO Series GSE92995. Homo sapiens. 3 samples. Type: Other.
Figure 1 from: Häberlein L, Cengiz P-M, Demirova I, Dwojak-Matras A, Jacobsen MW, Koterwas A, Lopez B, Metodiev T, Palianopoulou M (2019) Validation of the mapping of innovative methods and research integrity curricula. Research Ideas and Outcomes 5: e49755. https://doi.org/10.3897/rio.5.e49755
Figure 1 Visual representation of the Path2Integrity map on RI/RE curricula.
Figure 1 from: Prieß-Buchheit J, Aro AR, Demirova I, Lanzerath D, Stoev P, Wilder N (2020) Rotatory role-playing and role-models to enhance the research integrity culture. Research Ideas and Outcomes 6: e53921. https://doi.org/10.3897/rio.6.e53921
Figure 1 The four phases of the Path2Integrity project.
Figure 5 from: Prieß-Buchheit J, Aro AR, Demirova I, Lanzerath D, Stoev P, Wilder N (2020) Rotatory role-playing and role-models to enhance the research integrity culture. Research Ideas and Outcomes 6: e53921. https://doi.org/10.3897/rio.6.e53921
Figure 5 Project overview.
Figure 6 from: Prieß-Buchheit J, Aro AR, Demirova I, Lanzerath D, Stoev P, Wilder N (2020) Rotatory role-playing and role-models to enhance the research integrity culture. Research Ideas and Outcomes 6: e53921. https://doi.org/10.3897/rio.6.e53921
Figure 6 Path2Integrity work plan.
Figure 2 from: Prieß-Buchheit J, Aro AR, Demirova I, Lanzerath D, Stoev P, Wilder N (2020) Rotatory role-playing and role-models to enhance the research integrity culture. Research Ideas and Outcomes 6: e53921. https://doi.org/10.3897/rio.6.e53921
Figure 2 Reliable scientific evidence and social innovation.
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.