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.
138
datasets available to search
ShareScore release 0.9.0
Dataset results
138 results for “Toolbox”
SPLICER: A Highly Efficient Base Editing Toolbox That Enables in vivo Exon Skipping For Targeting Alzheimer’s Disease
GEO Series GSE246588. Homo sapiens; Mus musculus. 183 samples. Type: Expression profiling by high throughput sequencing; Other.
Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox [RNA-seq]
GEO Series GSE242105. Homo sapiens. 19 samples. Type: Expression profiling by high throughput sequencing.
LASSIM -a network inference toolbox for genome-wide mechanistic modeling [Time-series polarization: CD4+ T cells toward Th2]
GEO Series GSE60681. Homo sapiens. 15 samples. Type: Expression profiling by array.
LASSIM -a network inference toolbox for genome-wide mechanistic modeling [MAF, MYB & GATA3 siRNA]
GEO Series GSE65880. Homo sapiens. 24 samples. Type: Expression profiling by array.
Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox [LR-RNA-Seq]
GEO Series GSE242104. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox
GEO Series GSE242107. Homo sapiens. 34 samples. Type: Expression profiling by high throughput sequencing; Other.
SPLICER: A Highly Efficient Base Editing Toolbox That Enables in vivo Exon Skipping For Targeting Alzheimer’s Disease [miSeq]
GEO Series GSE246586. Homo sapiens; Mus musculus. 177 samples. Type: Other.
A toolbox for epitope-tagging and genome-wide location analysis in Candida albicans
GEO Series GSE13427. Candida albicans. 6 samples. Type: Genome binding/occupancy profiling by array.
CRISPResso: sequencing analysis toolbox for CRISPR genome editing
GEO Series GSE78729. Homo sapiens. 3 samples. Type: Other.
LASSIM -a network inference toolbox for genome-wide mechanistic modeling
GEO Series GSE60683. Homo sapiens. 70 samples. Type: Expression profiling by array.
A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors
GEO Series GSE140819. Homo sapiens. 40 samples. Type: Expression profiling by high throughput sequencing.
Figure 11 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 11 - Submission of manuscripts to ARPHA Writing Tool through Application Programming Interface (API).
Figure 9 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 9 - The occurrence data from articles published in the Biodiversity Data Journal (in this case from the paper of Johnson 2013) are automatically indexed via Darwin Core Archive in the GBIF Integrated Publishing Toolkit.
Figure 4a from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 4a - Interactive mapping of geo-coordinated species occurrences (example from Frolov and Akhmetova 2013).
Figure 13 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 13 - Conversion of Ecological Metadata Language (EML) metadata into data paper manuscripts in ARPHA Writing Tool.
Figure 7 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 7 - Extraction and delivery of data and content from published articles to aggregators, nomenclators, archives, and indexers.
Figure 4d from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 4d - All taxon names usages (TNU) in an article are indexed and matched to their type of use (e.g. citations in the text, heading a taxon treatment, associated to images or present in identification keys, example from Brown et al. 2017).
Figure 8 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 8 - Export of data from articles published in Biodiversity Data Journal. Species occurrences and other structured data tables can be downloaded in CSV format (green arrow); all species occurrences are also available as Darwin Core Archives and are automatically harvested and indexed by GBIF (red box and arrow).
Figure 12 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 12 - Creation of data paper manuscripts from Ecological Metadata Language (EML) metadata hosted at the GBIF IPT
Figure 1 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 1 - ARPHA-BioDiv is a set of standards, guidelines, tutorials, tools, workflows, journals and services, designed to facilitate the scholarly publication and dissemination of biodiversity data.
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.