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https://hugeamp.org

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   

•   Source: SciCrunch Registry
  

https://ahed.nasa.gov

Astrobiology Habitable Environments Database (AHED) is a new data system being developed as a long-term, open-access repository for astrobiology data. AHED is intended to store user-contributed results from NASA or externally-funded research in astrobiology, and to encourage sharing and synergy within the astrobiology community.

Proper citation: Astrobiology Habitable Environments Database (RRID:SCR_023133) Copy   

•   Source: SciCrunch Registry
  

http://www.conversantbio.com

Tissue bank that specifically provides human tissue and cell samples for research purposes. It offers PBMCs, whole blood, solid tumor tissues, circulating tumor cells, and a variety of other bio-specimens.

Proper citation: Conversant Biologics Inc. (RRID:SCR_010675) Copy   

•   Source: SciCrunch Registry
  

http://www.ncbi.nlm.nih.gov/sites/entrez?db=pcassay&cmd=search

Data and information collection and repository for biological activities of small molecules and small interfering RNAs (siRNAs) hosted by the US National Institutes of Health (NIH). Used to select and summarize the bioactivities of tested substances.

Proper citation: PubChem BioAssay (RRID:SCR_010734) Copy   

•   Source: SciCrunch Registry
  

https://fairassist.org/#!/

Portal that aggregates tools that assist users ascertain FAIR-ness. Offers guidance to discover standards and repositories in FAIRsharing, which should be used to make data FAIR, as well as signpost other resources that enable FAIRness.

Proper citation: FAIRassist.org (RRID:SCR_024469) Copy   

•   Source: SciCrunch Registry
  

https://cm.jefferson.edu/rna22/

Software tool as a pattern based algorithm for detecting microRNA binding sites and their corresponding microRNA and mRNA complexes. Allows interactive exploration and visualization of miRNA target predictions. Permits link-out to external expression repositories and databases.

Proper citation: RNA22 (RRID:SCR_016507) Copy   

•   Source: SciCrunch Registry
  

https://metafluidics.org/

Protocol repository for microfluidics experiments and chips. METAFLUIDICS provides a home for digital design files and other information necessary to reproduce or remix a microfluidic device.

Proper citation: METAFLUIDICS (RRID:SCR_015763) Copy   

•   Source: SciCrunch Registry
  

https://www.ddbj.nig.ac.jp/jga/index-e.html

A service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The JGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the JGA. Once processed, all data are encrypted. The JGA accepts only de-identified data approved by JST-NBDC. The JGA implements access-granting policy whereby the decisions of who will be granted access to the data resides with the JST-NBDC. After data submission the JGA team will process the data into databases and archive the original data files. The accepted data types include manufacturer-specific raw data formats from the array-based and new sequencing platforms. The processed data such as the genotype and structural variants or any summary level statistical analyses from the original study authors are stored in databases. The JGA also accepts and distributes any phenotype data associated with the samples. For other human biological data, please contact the NBDC human data ethical committee.

Proper citation: Japanese Genotype-phenotype Archive (JGA) (RRID:SCR_003118) Copy   

•   Source: SciCrunch Registry
  

https://anc.plus.ac.at/

Platform for sustainable research data management in cognitive neuroscience. Secure data storage and integrated tools to support maintenance, reuse, and FAIR-aligned management of neurocognitive research data. Data remains curated, documented, and accessible for the long term, supporting reproducibility and future discovery.

Proper citation: Austrian NeuroCloud (RRID:SCR_027771) Copy   

•   Source: SciCrunch Registry
  

http://www.bu.edu/alzresearch/about/cores/neuro.html

The Neuropathology Core leads neuropathological analyses of brains donated by research registry participants of the Boston University Alzheimer's Disease Center. The Core works with the Clinical Core to carry out the Brain Tissue Donation Program, which provides brain tissue for analyses that will help to understand the underlying pathology of AD. The Core also works closely with the Data Management and Statistics Core to maintain a comprehensive computerized database of information resulting from neuropathological analyses. The Boston University Brain Bank of the Neuropathology Core documents neuropathological findings of Center research registry participants, but also of brain donors from important related BUSM studies such as the Framingham Heart Study and the Centenarian Study.

Proper citation: Boston University Alzheimer's Disease Center Neuropathology Core Facility (RRID:SCR_000513) Copy   

•   Source: SciCrunch Registry
  

http://demo.onelaboratory.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 24, 2017.

Platform to enable dissemination of scientific findings, foster open peer commentary and promote collaboration among the research community. Widespread participation in OneLab will increase the quality, transparency and reproducibility of data thus accelerating the pace of scientific discoveries. The result will be a streamlined process from the bench to the clinic with tremendous benefits for the well-being of the general public. OneLab is a private professional network that mirrors the hierarchy of real world research laboratories. Users are designated as either principal investigators (PI) or lab members. PIs can invite lab members to join and data posted by lab members cannot be shared without PI approval. In this way the PI retains FULL CONTROL over the dissemination of scientific content thus safeguarding the primacy of authorship. This professional network will serve as a backdrop for sharing scientific findings, promote collaborations, and provide a basis for open peer commentary. Semantic Search of Structured Content OneLab implements a powerful search functionality that is based on structured content. Users describe their Single Figure Posts (SFPs) using defined fields such as model organism, genes, proteins and assay. This additional layer of structure provides the basis for a smarter and more accurate search engine that understands searcher intent and therefore generates more relevant results. Structured content allows OneLab to go one step further by offering recommendations based on similarities that might not be intuitive, thus increasing potential collaborations among scientists., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: OneLab (RRID:SCR_005545) Copy   

•   Source: SciCrunch Registry
  

http://library.ucsd.edu/dc

A discovery interface of digital objects, including documents, photographs, audio, video, and data sets, which reflect a range of materials collected, managed, and preserved by the UCSD Library to support teaching, learning and research. Content has been drawn from across the Library collections with strengths in the areas of Baja California, Melanesia, Oceanography, and UC San Diego history. Access to more content will increase over time. Items have been digitized from the original primary sources in our collections, and recently the Library began to partner with UC San Diego researchers on campus to make research data more readily available. The Digital Collections website gathers data into two broad categories of content: Library Digital Collections contains digitized versions of selected collections covering topics such as art, film, music, history and anthropology.

Proper citation: UCSD Digital Collections (RRID:SCR_010221) Copy   

•   Source: SciCrunch Registry
  

http://www.biochemweb.org/

This site is provided as a service to scientists, educators, students and others simply interested in the Biological subjects. While many of the resources listed on these pages are designed for scientific professionals, those that require little or no background are labeled as Beginner's Level. Topics include: Angiogenesis, Apoptosis, Carbohydrates, Cell Adhesion & ECM, Cell Cycle, Cell Senescence, Chemical Biology, Cytoskeleton & Motility, Development, Enzymes, Genes, Lipids & Membranes, Metabolism, Microscopy, Organelles, Proteins, Signaling, Structural Biology, Systems Biology Other available categories include: General Resources & Tutorials, Scientific Research Groups, Databases & Tools, Methods, Software, Vendors, Books, Journals, Literature Search, Career & Funding, Organizations & Meetings

Proper citation: BioChemWeb.org - The Virtual Library of Biochemistry Molecular Biology and Cell Biology (RRID:SCR_001912) Copy   

•   Source: SciCrunch Registry
  

http://soybase.org

Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome.

Proper citation: SoyBase (RRID:SCR_005096) Copy   

•   Source: SciCrunch Registry
  

https://www.synapse.org/

A cloud-based collaborative platform which co-locates data, code, and computing resources for analyzing genome-scale data and seamlessly integrates these services allowing scientists to share and analyze data together. Synapse consists of a web portal integrated with the R/Bioconductor statistical package and will be integrated with additional tools. The web portal is organized around the concept of a Project which is an environment where you can interact, share data, and analysis methods with a specific group of users or broadly across open collaborations. Projects provide an organizational structure to interact with data, code and analyses, and to track data provenance. A project can be created by anyone with a Synapse account and can be shared among all Synapse users or restricted to a specific team. Public data projects include the Synapse Commons Repository (SCR) (syn150935) and the metaGenomics project (syn275039). The SCR provides access to raw data and phenotypic information for publicly available genomic data sets, such as GEO and TCGA. The metaGenomics project provides standardized preprocessed data and precomputed analysis of the public SCR data.

Proper citation: Synapse (RRID:SCR_006307) Copy   

•   Source: SciCrunch Registry
  

https://www.ipni.org/

Global repository for all plant names with citation of its place of origin. Provides nomenclatural data, including spelling, author, types and first place/date of publication, for scientific names of vascular plants from family to infraspecific ranks.

Proper citation: International Plant Name Index (RRID:SCR_025019) Copy   

•   Source: SciCrunch Registry
  

https://phenogen.org

Website for analyzing microarray data. Software toolbox for storing, analyzing and integrating microarray data and related genotype and phenotype data. The site is particularly suited for combining QTL and microarray data to search for candidate genes contributing to complex traits. In addition, the site allows, if desired by the investigators, sharing of the data. Investigators can conduct in-silico microarray experiments using their own and/or shared data. There are five major sections of the site: Genome/Transcriptome Data Browser, Microarray Analysis Tools, Gene List Analysis Tools, QTL Tools, and Downloads. The genome/transcriptome data browser combines a genome browser with all the microarray, RNA-Seq, and Genomic Sequencing data. This provides an effective platform to view all of this data side by side. Source code is available on GitHub.

Proper citation: PhenoGen Informatics (RRID:SCR_001613) Copy   

•   Source: SciCrunch Registry
  

http://cebs.niehs.nih.gov

Repository for toxicogenomics data, including study design and timeline, clinical chemistry and histopathology findings and microarray and proteomics data. Data derived from studies of chemicals and of genetic alterations, and is compatible with clinical and environmental studies. Data relating to environmental health, pharmacology, and toxicology. It is not necessary to have microarray data, but study design and phenotypic anchoring data are required.CEBS contains raw microarray data collected in accordance with MIAME guidelines and provides tools for data selection, pre-processing and analysis resulting in annotated lists of genes of interest. Biomedical Investigation Database is another component of CEBS system. used to load and curate study data prior to export to CEBS, in addition to capturing and displaying novel data types such as PCR data, or additional fields of interest, including those defined by the HESI Toxicogenomics Committee. BID has been shared with Health Canada and the US Environmental Protection Agency.

Proper citation: Chemical Effects in Biological Systems (CEBS) (RRID:SCR_006778) Copy   

•   Source: SciCrunch Registry
  

https://www.itntrialshare.org/

Immune tolerance data management and visualization portal for studies sponsored by Immune Tolerance Network (ITN) and collaborating investigators. Data from published studies are accessible to any user; data from current in-progress studies are accessible to study investigators and collaborators. Includes links to published Figures, tools for visualization and analysis of data, and ability to query study data by subject, group, or any other study parameter.

Proper citation: Immune Tolerance Network TrialShare (RRID:SCR_013699) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry