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https://www.qut.edu.au/research/research-projects/landmark-biobanks
A repository of human tissue samples collected during the LANDMark study (Longitudinal Assessment of Neuropathy in Diabetes using novel ophthalmic markers). The LANDMark Biobank longitudinal dataset contains blood and tissue (skin) samples and matching detailed phenotypic data of three microvascluar complications of type 1 diabetes: neuropathy, nephropathy and retinopathy.
Proper citation: LANDMark BioBanks (RRID:SCR_014534) Copy
https://www.ebi.ac.uk/metabolights/
A cross-species, cross-technique database for metabolomics experiments, data, and derived information. It includes metabolite structures and their reference spectra, their biological roles, locations and concentrations, and experimental data from metabolic experiments.
Proper citation: MetaboLights (RRID:SCR_014663) Copy
Database of Coherent X-ray Imaging (CXI) experiments. This data is widely accessible to researchers worldwide.
Proper citation: Coherent X-Ray Imaging Data Bank (CXIDB) (RRID:SCR_014722) Copy
https://bioinformatics.niaid.nih.gov/hasp
Web server to visualize phylogenetic, biochemical, and immunological hemagglutinin data in the three-dimensional context of homology models. Database and structural visualization platform for comparative models of influenza A hemagglutinin proteins.
Proper citation: HASP (RRID:SCR_016615) Copy
Program to improve understanding of properties and functions of proteins that are currently unannotated within three most commonly drug protein families: targeted G-protein coupled receptors, ion channels, and protein kinases. Includes Data and Resource Generating Centers (DRGC), Knowledge Management Center (KMC), and Resource Dissemination and Outreach Center (RDOC).
Proper citation: Illuminating the Druggable Genome (RRID:SCR_016924) Copy
https://plusconsortium.umn.edu
Research consortium from many different fields to plan, perform and analyze the studies that are needed to help researchers conduct future prevention and intervention for Lower Urinary Tract Symptoms (LUTS) in women.
Proper citation: Prevention of Lower Urinary Tract Symptoms (RRID:SCR_016923) Copy
https://commonfund.nih.gov/hubmap
Project to facilitate research on single cells within tissues by supporting data generation and technology development to explore the relationship between cellular organization and function, as well as variability in normal tissue organization at the level of individual cells. Framework for functional mapping the human body with cellular resolution.Designed to support diverse spatial and non-spatial omics and imaging data types and to integrate with a wide range of analysis workflows.
Proper citation: The Human BioMolecular Atlas Program (RRID:SCR_016922) Copy
Project to ethically obtain and evaluate human kidney biopsies from participants with Acute Kidney Injury (AKI) or Chronic Kidney Disease (CKD), create a kidney tissue atlas, define disease subgroups, and identify critical cells, pathways, and targets for novel therapies. Used to develop the next generation of software tools to visualize and understand the various components of kidney diseases and to optimize data collection. Multi site collaboration comprised of patients, clinicians, and investigators from across the United States.
Proper citation: Kidney Precision Medicine Project (RRID:SCR_016920) 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
http://idr.openmicroscopy.org/about/
Public repository of reference image datasets from published scientific studies. Platform for publishing, mining and integrating bioimaging data, following FAIR principles and Euro-BioImaging/ELIXIR imaging strategy using OMERO and Bio-Formats open source software built by Open Microscopy Environment. Deployed on OpenStack cloud running on EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super resolution microscopy, and digital pathology.
Proper citation: Image Data Resource (IDR) (RRID:SCR_017421) Copy
Medical image repository to store medical research data.
Proper citation: SICAS Medical Image Repository (RRID:SCR_017420) 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
http://pcddb.cryst.bbk.ac.uk/home.php
Public repository for archiving circular dichroism spectroscopic data and associated bioinformatics and experimental metadata. For authors to deposit experimental data as well as detailed information on methods and calculations associated with published work. Includes links for each entry to bioinformatics databases. Data are freely available to accessors either as single files or as complete data bank downloads.
Proper citation: Protein Circular Dichroism Data Bank (PCDDB) (RRID:SCR_017428) 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
Software tool as text-mining engine that structures and standardizes knowledge of immune intercellular communication. Knowledgebase contains interactions and separate mentions of cells or cytokines in context of thousands of diseases. Intercellular interactions were text-mined from all available PubMed abstracts across disease conditions.
Proper citation: immuneXpresso (RRID:SCR_017578) Copy
Portal enables browsing, searching, and analysis of human genetic information linked to common metabolic diseases and traits, while protecting integrity and confidentiality of underlying data. Aggregates and analyzes genetic association results, epigenomic annotations, and results of computational prediction methods to provide data, visualizations, and tools in open access portal.
Proper citation: Common Metabolic Diseases Knowledge Portal (RRID:SCR_020937) 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 on August 1, 2015. Consortium that aims to facilitate interdisciplinary collaborations to advance the understanding of pancreatic islet development and function, with the goal of developing innovative therapies to correct the loss of beta cell mass in diabetes, including cell reprogramming, regeneration and replacement. They are responsible for collaboratively generating the necessary reagents, mouse strains, antibodies, assays, protocols, technologies and validation assays that are beyond the scope of any single research effort. The scientific goals for the BCBC are to: * Use cues from pancreatic development to directly differentiate pancreatic beta cells and islets from stem / progenitor cells for use in cell-replacement therapies for diabetes, * Determine how to stimulate beta cell regeneration in the adult pancreas as a basis for improving beta cell mass in diabetic patients, * Determine how to reprogram progenitor / adult cells into pancreatic beta-cells both in-vitro and in-vivo as a mean for developing cell-replacement therapies for diabetes, and * Investigate the progression of human type-1 diabetes using patient-derived cells and tissues transplanted in humanized mouse models. Many of the BCBC investigator-initiated projects involve reagent-generating activities that will benefit the larger scientific community. The combination of programs and activities should accelerate the pace of major new discoveries and progress within the field of beta cell biology.
Proper citation: Beta Cell Biology Consortium (RRID:SCR_005136) Copy
https://neuinfo.org/mynif/search.php?list=cover&q=*
Service that partners with the community to expose and simultaneously drill down into individual databases and data sets and return relevant content. This type of content, part of the so called hidden Web, is typically not indexed by existing web search engines. Every record links back to the originating site. In order for NIF to directly query these independently maintained databases and datasets, database providers must register their database or dataset with the NIF Data Federation and specify permissions. Databases are concept mapped for ease of sharing and to allow better understanding of the results. Learn more about registering your resource, http://neuinfo.org/nif_components/disco/interoperation.shtm Search results are displayed under the Data Federation tab and are categorized by data type and nervous system level. In this way, users can easily step through the content of multiple resources, all from the same interface. Each federated resource individually displays their query results with links back to the relevant datasets within the host resource. This allows users to take advantage of additional views on the data and tools that are available through the host database. The NIF site provides tutorials for each resource, indicated by the Professor Icon professor icon showing users how to navigate the results page once directed there through the NIF. Additionally, query results may be exported as an Excel document. Note: NIF is not responsible for the availability or content of these external sites, nor does NIF endorse, warrant or guarantee the products, services or information described or offered at these external sites. Integrated Databases: Theses virtual databases created by NIF and other partners combine related data indexed from multiple databases and combine them into one view for easier browsing. * Integrated Animal View * Integrated Brain Gene Expression View * Integrated Disease View * Integrated Nervous System Connectivity View * Integrated Podcasts View * Integrated Software View * Integrated Video View * Integrated Jobs * Integrated Blogs For a listing of the Federated Databases see, http://neuinfo.org/mynif/databaseList.php or refer to the Resources Listed by NIF Data Federation table below.
Proper citation: NIF Data Federation (RRID:SCR_004834) Copy
http://www.genepaint.org/R0_1.htm
A digital atlas of gene expression patterns in the mouse. Expression patterns are determined by non-radioactive in situ hybridization on serial tissue sections. An accompanying atlas based on maps of sagittal sections at embryonic day 14.5. E14.5 NMRI embryo was prepared, sectioned and imaged identically to the embryos used for in situ hybridization. Maps are accessed from the set viewer page using the appropriate button above the image directory. Both, the in situ hybridization section and the appropriate atlas section can be viewed side-by-side. Section thickness is 20 m and inter-section distance is 100 m. Tissue was stained with cresyl violet (Nissl-method). All sections were digitally scanned using a 5x objective. Structures annotated for gene expression are indicated in the maps with red pointers. Boundaries between brain regions are indicated with dashed yellow lines.
Proper citation: GenePaint Interactive Anatomy Atlas (RRID:SCR_007680) Copy
http://www.rarekidneystones.org
An organization of various participants and independent efforts representing four major diseases of hereditary nephrolithiasis. The Consortium facilitates cooperative exchange of information and resources among investigators, clinicians, patients, and researchers in order to improve care and outcomes for patients with rare stone diseases. The consortium promotes ready availability of diagnostic testing, pooling of clinical experiences, and availability of tissue banks in order to advance the science.
Proper citation: Rare Kidney Stone Consortium (RKSC) (RRID:SCR_014413) Copy
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