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https://tbportals.niaid.nih.gov
Web based open access platform for global drug resistant tuberculosis data sharing and analysis. The NIAID TB Portals program and consortium of clinicians and scientists from countries with a heavy burden of TB, especially drug resistant TB, to collect TB data.
Proper citation: TB PORTALS (RRID:SCR_016594) Copy
Integrated healthcare biobank that operates under certified conditions and strict SOPs. Enables biomedical and translational researchers to perform their analyses using high quality biospecimens and data to generate reliable and reproducible research data. Core offers modular biobanking portfolio that can cover workflow from blood collection to storage, including all pre-analytical steps and their documentation. Offers spectrum of additional services ranging from DNA/RNA extraction and virtual microscopy to entire management of sample and data flow for national and international research consortia. Provides secure conventional and automated storage of samples at various temperatures as well as secure data management.
Proper citation: Charite University and Berlin Institute for Health Research Central Biobank Core Facility (RRID:SCR_023495) Copy
https://t1dexchange.org/research/biobank/
Collection of biological samples linked to participant medical data from individuals living with type 1 diabetes. Unifies samples and data from eight different clinical studies related to type 1 diabetes.
Proper citation: T1D Exchange Biobank (RRID:SCR_017195) Copy
BossDB (Brain Observatory Storage Service and Database) is a cloud-based ecosystem for the storage and management of public large-scale volumetric neuroimaging and connectomics datasets. This includes volumetric Electron Microscopy and X-Ray Micro/Nanotomography data with support for multi-channel image data, segmentations, annotations, meshes, and connectomes. BossDB integrates with community resources for data access, processing, visualization, and analysis, and includes an API that enables metadata management, rendering, datatype conversions, and ingest.
Proper citation: Brain Observatory Storage Service and Database (BossDB) (RRID:SCR_017273) Copy
https://www.beilstein-strenda-db.org/strenda/
Storage and search platform supported by Beilstein-Institut that incorporates STRENDA Guidelines. For authors who prepare manuscript containing functional enzymology data, STRENDA DB provides means to ensure that data sets are complete and valid before submitting them to journal.
Proper citation: STRENDA (RRID:SCR_017422) Copy
Open access database of all types of genetic variation data from all species. Users can download data from any study, or submit their own data to archive. You can also query all variants by study, gene, chromosomal location or dbSNP identifier using our Variant Browser.
Proper citation: European Variation Archive (EVA) (RRID:SCR_017425) Copy
Portal to facilitate integration and computing on and across large datasets generated by NHGRI programs, as well as initiatives funded by National Institutes of Health or by other agencies that support human genomics research. Resource for genomic scientific community, that leverages cloud based infrastructure for democratizing genomic data access, sharing and computing across large genomic, and genomic related data sets. Component of federated data ecosystem, and is expected to collaborate and integrate with other genomic data resources through adoption of FAIR (Findable, Accessible, Interoperable, Reusable) principles, as their specifications emerge from scientific community. Will provide collaborative environment, where datasets and analysis workflows can be shared within consortium and be prepared for public release to broad scientific community through AnVIL user interfaces.
Proper citation: Analysis, Visualization, and Informatics Lab-space (AnVIL) (RRID:SCR_017469) Copy
https://scdevdb.deepomics.org/
Database for insights into single cell gene expression profiles during human developmental processes. Interactive database provides DE gene lists in each developmental pathway, t-SNE map, and GO and KEGG enrichment analysis based on these differential genes.
Proper citation: Single Cell Developmental Database (RRID:SCR_017546) Copy
Tools for researchers to connect their data, code and computational methods to their published or soon to be published research in a convenient and easily citeable form. ResearchCompendia provides the tools to publish digital scholarly objects by hosting data, code, and methods in a form that is accessible, trackable, and persistent. They provide hosting and computational cloud resources for all researchers. Data and code should be citable and linked to the original publication.
Proper citation: ResearchCompendia (RRID:SCR_003223) Copy
http://www.openmicroscopy.org/site/products/omero
Client-server software for management, visualization, and analysis of biological microscopy images. OMERO handles images in a secure central repository where users can view, organize, analyze and share data from anywhere with internet access. Work with images from a desktop app (Windows, Mac or Linux), from the web or from 3rd party software.
Proper citation: OMERO (RRID:SCR_002629) Copy
Web application to perform automated model construction and genome annotation for large-scale metabolic networks. Platform for accessing, analyzing and manipulating genome-scale metabolic networks (GSM) as well as biochemical pathways.
Proper citation: MetaNetX (RRID:SCR_015882) Copy
Open community of researchers, educators, and professionals with goal of improving way we develop, share, use, and re-use agent based and computational models for study of social and ecological systems. Develops and maintains CoMSES Model Library, digital repository that supports discovery and good practices for software citation, digital preservation, reproducibility, and reuse.
Proper citation: CoMSES Net (RRID:SCR_017598) Copy
https://github.com/di-0579/spatial_tri-omics
Software repository to share the raw data processing and visualization codes used in the spatial tri-omics project.
Proper citation: spatial_tri-omics (RRID:SCR_026194) Copy
https://www.openicpsr.org/openicpsr/
Web service of Inter-university Consortium for Political and Social Research. Self-publishing repository for social, behavioral, and health sciences research data. Used for deposit of replication data sets for researchers who need to publish their raw data associated with journal article so that other researchers can replicate their findings.
Proper citation: OpenICPSR (RRID:SCR_019106) Copy
Data collection for Xenopus laevis and Xenopus tropicalis biology and genomics.
Proper citation: Xenbase (RRID:SCR_003280) Copy
http://www.wholebraincatalog.org/
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016. An open source, downloadable, 3d atlas of the mouse brain and its cellular constituents that allows multi-scale data to be visualized in a seamless way, similar to Google earth. Data within the Catalog is marked up with annotations and can link out to additional data sources via a semantic framework. This next generation open environment has been developed to connect members of the neuroscience community to facilitate solutions for today's intractable challenges in brain research through cooperation and crowd sourcing. The client-server platform provides rich 3-D views for researchers to zoom in, out, and around structures deep in a multi-scale spatial framework of the mouse brain. An open-source, 3-D graphics engine used in graphics-intensive computer gaming generates high-resolution visualizations that bring data to life through biological simulations and animations. Within the Catalog, researchers can view and contribute a wide range of data including: * 3D meshes of subcellular scenes or brain region territories * Large 2D image datasets from both electron and light level microscopy * NeuroML and Neurolucida neuronal reconstructions * Protein Database molecular structures Users of the Whole Brain Catalog can: * Fit data of any scale into the international standard atlas coordinate system for spatial brain mapping, the Waxholm Space. * View brain slices, neurons and their animation, neuropil reconstructions, and molecules in appropriate locations * View data up close and at a high resolution * View their own data in the Whole Brain Catalog environment * View data within a semantic environment supported by vocabularies from the Neuroscience Information Framework (NIF) at http://www.neuinfo.org. * Contribute code and connect personal tools to the environment * Make new connections with related research and researchers 5 Easy Ways to Explore: * Explore the datasets across multiple scales. * View data closely at high resolution. * Observe accurately simulated neurons. * Readily search for content. * Contribute your own research.
Proper citation: Whole Brain Catalog (RRID:SCR_007011) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 23, 2013. Database for resting state functional connectivity studies. Functional connectivity has shown tremendous promise in mapping the intrinsic functional topography of the brain, evaluating neuroanatomical models, and investigating neurological and psychiatric disease. Brainscape includes a repository of public and private data and an analysis engine for exploring the correlation structure of spontaneous fluctuations in the fMRI BOLD signal. (DICOM data is the image format that can be uploaded.) With Brainscape you can upload, analyze, and share your own data. You can search for, download, and analyze studies in the repository of shared data. The analysis engine works by selecting one or more studies, typing in the coordinates of a brain region of interest, and the seed-region correlation engine computes the correlation structure across the whole brain. (T1, T2 and EPI data are the scan types Brainscape can process.) You decide who can access your data. You can keep it to yourself, share with select colleagues, or share it with everyone. The Brainscape database and analysis tools are open source and freely available.
Proper citation: Brainscape (RRID:SCR_002962) Copy
https://knights-lab.github.io/MLRepo/
Machine learning repository for microbiome datasets.
Proper citation: ML Repo (RRID:SCR_017079) Copy
http://www.bioconductor.org/packages/release/bioc/html/ArrayExpress.html
Software to access the ArrayExpress Repository at EBI and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
Proper citation: ArrayExpress (R) (RRID:SCR_000120) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented October 4, 2017.
A sub-project of the Cell Centered Database (http://ccdb.ucsd.edu) providing a public repository for animal imaging data sets from MRI and related techniques. The public AIDB website provides the ability for browsing, visualizing and downloading the animal subjected MRI data. The AIDB is a pilot project to serve the current need for public imaging repositories for animal imaging data. The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy. The AIDB data model is modified from the basic model of the CCDB where microscopic images are combined to make 2D, 3D and 4D reconstructions. The CCDB has made available over 40 segmented datasets from high resolution magnetic resonance imaging of inbred mouse strains through the prototype AIDB. These data were acquired as part of the Mouse BIRN project by Drs. G. Allan Johnson and Robert Williams. More information about these data can be found in Badea et al. (2009) (Genetic dissection of the mouse CNS using magnetic resonance microscopy - Pubmed: 19542887)
Proper citation: Animal Imaging Database (RRID:SCR_008002) Copy
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