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.
56
datasets available to search
ShareScore release 0.7.1
Dataset results
56 results for “data curation”
Figure 6 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334
Figure 6 Metridia gerlachei (Copepoda, Calanoida; female, MNA-12439) acquired with fluorescence microscopy (Congo Red, 1.5 mg/ml). This species is one of the most adapted species in the Antarctic region and can perform diel vertical migrations that highly influence the surrounding waters in terms of trophic relationships in Terra Nova Bay.
Figure 1 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334
Figure 1 Sampling stations for IIIrd (yellow), Vth (blue), and Xth (red) expedition a overview of spatial extent in Antarctica b sampling stations in the Western Ross Sea c focus on Terra Nova Bay sampling stations. This map was produced using the collection of datasets "Quantarctica" (Matsuoka et al. 2017) and QGIS (QGIS Development Team 2020).
Figure 5 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334
Figure 5 Paraeuchaeta exigua (Copepoda, Calanoida; female, MNA-12333) acquired with scanning electron microscopy (SEM). This is one of the most common species in the coastal area of Terra Nova Bay. It plays a key role in the neritic trophic chain and highly contributes to the total mesozooplanktic biomass.
Data from: Inferring new relations between medical entities using literature curated term co-occurrences
ABSTRACT Objectives Identifying new relations between medical entities, such as drugs, diseases, and side-effects, is typically a resource-intensive task, involving experimentation and clinical trials. The increased availability of related data and curated knowledge enables a computational approach to this task, notably by training models to predict likely relations. Such models rely on meaningful representations of the medical entities being studied. We propose a generic features vector representation that leverages co-occurrences of medical terms, linked with PubMed citations. Materials and Methods We demonstrate the usefulness of the proposed representation by inferring two types of relations: a drug causes a side effect, and a drug treats an indication. To predict these relations and assess their effectiveness, we applied two modeling approaches: multi-task modeling using neural networks, and single-task modeling based on gradient-boosting machines and logistic regression. Results These trained models, which predict either side effects or indications, obtained significantly better results than baseline models that use a single direct co-occurrence feature. The results demonstrate the advantage of a comprehensive representation. Discussion Selecting the appropriate representation has an immense impact on the predictive performance of machine learning models. Our proposed representation is powerful, as it spans multiple medical domains and can be used to predict a wide range of relation types. Conclusion The discovery of new relations between various medical entities can be translated into meaningful insights, for example, related to drug development or disease understanding. Our representation of medical entities can be used to train models that predict such relations, thus accelerating healthcare-related discoveries.
Curated RNA Sequencing Data for Zebrafish (Danio rerio) snoRNA Expression Analysis
Open the record for dataset details and reuse information.
Data from: A Curated Cancer Clinical Outcomes Data Base (C3OD) for accelerating patient recruitment in cancer clinical trials
Open the record for dataset details and reuse information.
Data from: The effects of sub-curative praziquantel treatment on life-history traits and trade-offs in drug-resistant Schistosoma mansoni
Open the record for dataset details and reuse information.
Data from: Inferring new relations between medical entities using literature curated term co-occurrences
Open the record for dataset details and reuse information.
Figure 4 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334
Figure 4 Taxonomic diversity for museum vouchers.
Figure 3 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334
Figure 3 Taxonomic diversity for data report analysis.
Figure 2 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334
Figure 2 Flowchart representing all stages in dataset development and publishing.
Curated collection of yeast transcription factor DNA binding specificity data reveals novel structural and gene regulatory insights
GEO Series GSE34306. Saccharomyces cerevisiae; synthetic construct. 27 samples. Type: Other.
pathway curation tool data
<p>todo</p>
Introduction to curating and managing research data for re-use: natural gas infrastructure case study data set
<p>This data set underpins the report and data provided between 2004-2006 for registration in the restrictions application of Estonian Land Board.</p>
All the data of cnr_curation gitlab repository that was on the cluster
<p>https://gitlab.pasteur.fr/gmillot/cnr_curation</p> <p>C:\Users\gmillot\Documents\Hub projects\20210120 CNR Curation</p>
Introduction to curating and managing research data for re-use: North European Gas Pipeline case study data set
<p>The introductory data set illustrates briefly different relationships in the case study of the North European Gas Pipeline.</p>
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.