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http://www.phytozome.net/

A comparative platform for green plant genomics. Families of orthologous and paralogous genes that represent the modern descendents of ancestral gene sets are constructed at key phylogenetic nodes. These families allow easy access to clade specific orthology / paralogy relationships as well as clade specific genes and gene expansions. As of release v9.1, Phytozome provides access to forty-one sequenced and annotated green plant genomes which have been clustered into gene families at 20 evolutionarily significant nodes. Where possible, each gene has been annotated with PFAM, KOG, KEGG, and PANTHER assignments, and publicly available annotations from RefSeq, UniProt, TAIR, JGI are hyper-linked and searchable., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Phytozome (RRID:SCR_006507) Copy   

•   Source: SciCrunch Registry

https://repository.niddk.nih.gov/home/

NIDDK Central Repositories are two separate contract funded components that work together to store data and samples from significant, NIDDK funded studies. First component is Biorepository that gathers, stores, and distributes biological samples from studies. Biorepository works with investigators in new and ongoing studies as realtime storage facility for archival samples.Second component is Data Repository that gathers, stores and distributes incremental or finished datasets from NIDDK funded studies Data Repository helps active data coordinating centers prepare databases and incremental datasets for archiving and for carrying out restricted queries of stored databases. Data Repository serves as Data Coordinating Center and website manager for NIDDK Central Repositories website.

Proper citation: NIDDK Central Repository (RRID:SCR_006542) Copy   

•   Source: SciCrunch Registry

https://www.fludb.org/brc/home.spg?decorator=influenza

The Influenza Research Database (IRD) serves as a public repository and analysis platform for flu sequence, experiment, surveillance and related data.

Proper citation: Influenza Research Database (IRD) (RRID:SCR_006641) Copy   

•   Source: SciCrunch Registry

http://www.innatedb.com

Publicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection. The database captures coverage of the innate immunity interactome by integrating known interactions and pathways from major public databases together with manually-curated data into a centralized resource. The database can be mined as a knowledgebase or used with the integrated bioinformatics and visualization tools for the systems level analysis of the innate immune response. Although InnateDB curation focuses on innate immunity-relevant interactions and pathways, it also incorporates detailed annotation on the entire human, mouse and bovine interactomes by integrating data (178,000+ interactions & 3,900+ pathways) from several of the major public interaction and pathway databases. InnateDB also has integrated human, mouse and bovine orthology predictions generated using Ortholgue software. Ortholgue uses a phylogenetic distance-based method to identify possible paralogs in high-throughput orthology predictions. Integrated human and mouse conserved gene order and synteny information has also been determined to provide further support for orthology predictions. InnateDB Capabilities: * View statistics for manually-curated innate immunity relevant molecular interactions. New manually curated interactions are submitted weekly. * Search for genes and proteins of interest. * Search for experimentally-verified molecular interactions by gene/protein name, interaction type, cell type, etc. * Search genes/interactions belonging to 3,900 pathways. * Visualize interactions using an intuitive subcellular localization-based layout in Cerebral. * Upload your own list of genes along with associated gene expression data (from up to 10 experimental conditions) to interactively analyze this data in a molecular interaction network context. Once you have uploaded your data, you will be able to interactively visualize interaction networks with expression data overlaid; carry out Pathway, Gene Ontology and Transcription Factor Binding Site over-representation analyses; construct orthologous interaction networks in other species; and much more. * Access curated interaction data via a dedicated PSICQUIC webservice.

Proper citation: InnateDB (RRID:SCR_006714) Copy   

•   Source: SciCrunch Registry

http://www.peptideatlas.org

Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database.

Proper citation: PeptideAtlas (RRID:SCR_006783) Copy   

•   Source: SciCrunch Registry

https://vivli.org/

Independent, non-profit organization that has developed global data-sharing and analytics platform to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through creation and implementation of sustainable global data-sharing enterprise. Our focus is on sharing individual participant-level data from completed clinical trials. Users can search listed studies, request data sets from data contributors, aggregate data, or share data of their own. Vivli (Center for Clinical Research Data) is launching a portal to share participant-level data from COVID trials.

Proper citation: Vivli (RRID:SCR_018080) Copy   

•   Source: SciCrunch Registry

https://www.ada.edu.au

A consortium of leading national Australian universities which collects and preserves digital research data and makes these data available for secondary analysis. The consortium provides a data catalogue comprised of seven sub-archives: Social Science, HIstorical, Indigenous, Longitudinal, Qualitative, Crime and Justice, and International. All users can browse and search the catalogue, view study and variable documentation, and download related material. Registered users can also analyze and visualize most data online and users who have completed the relevant undertaking form(s) can download entire studies or subsets of variables. Deposited data are processed, reviewed, and published for research use.

Proper citation: Australian Data Archive (RRID:SCR_014706) Copy   

•   Source: SciCrunch Registry

https://data.mendeley.com/

Cloud-based data repository for storing, publishing and accessing scientific data. Mendeley Data creates a permanent location and issues Force 11 compliant citations for uploaded data.

Proper citation: Mendeley Data (RRID:SCR_015671) Copy   

•   Source: SciCrunch Registry

http://www.animalgenome.org/cgi-bin/QTLdb/index

Database of trait mapping data, i.e. QTL (phenotype / expression, eQTL), candidate gene and association data (GWAS) and copy number variations (CNV) mapped to livestock animal genomes, to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features, such as annotated genes. QTLdb is open to house QTL/association date from other animal species where feasible. Most scientific journals require that any original QTL/association data be deposited into public databases before paper may be accepted for publication. User curator accounts are provided for direct data deposit. Users can download QTLdb data from each species or individual chromosome.

Proper citation: Animal QTLdb (RRID:SCR_001748) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/biomodels-main/

Repository of mathematical models of biological and biomedical systems. Hosts selection of existing literature based physiologically and pharmaceutically relevant mechanistic models in standard formats. Features programmatic access via Web Services. Each model is curated to verify that it corresponds to reference publication and gives proper numerical results. Curators also annotate components of models with terms from controlled vocabularies and links to other relevant data resources allowing users to search accurately for models they need. Models can be retrieved in SBML format and import/export facilities are being developed to extend spectrum of formats supported by resource.

Proper citation: BioModels (RRID:SCR_001993) Copy   

•   Source: SciCrunch Registry

https://dataverse.org/

Project portal for publishing, citing, sharing and discovering research data. Software, protocols, and community connections for creating research data repositories that automate professional archival practices, guarantee long term preservation, and enable researchers to share, retain control of, and receive web visibility and formal academic citations for their data contributions. Researchers, data authors, publishers, data distributors, and affiliated institutions all receive appropriate credit. Hosts multiple dataverses. Each dataverse contains studies or collections of studies, and each study contains cataloging information that describes the data plus the actual data files and complementary files. Data related to social sciences, health, medicine, humanities or other sciences with an emphasis in human behavior are uploaded to the IQSS Dataverse Network (Harvard). You can create your own dataverse for free and start adding studies for your data files and complementary material (documents, software, etc). You may install your own Dataverse Network for your University or organization.

Proper citation: Dataverse Network Project (RRID:SCR_001997) Copy   

•   Source: SciCrunch Registry

http://www.jgi.doe.gov/

Institute to advance genomics in support of the DOE missions related to clean energy generation and environmental characterization and cleanup. Supported by the DOE Office of Science, the DOE JGI unites the expertise at Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and the HudsonAlpha Institute for Biotechnology. The facility provides integrated high-throughput sequencing and computational analysis that enable systems-based scientific approaches to these challenges.

Proper citation: DOE Joint Genome Institute (RRID:SCR_003045) Copy   

•   Source: SciCrunch Registry

http://www.betacell.org/

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   

•   Source: SciCrunch Registry

https://data.aad.gov.au/

Centre is committed to free and open exchange of scientific data and is working collaboratively with international centres, networks and scientists to build sustainable polar data commons. Delivers professional data management and analysis services to Antarctic scientists and environmental managers. Supports logistical operations of Australian Antarctic Program. Data held in AADC data stores are qualified with metadata and discoverable through Catalogue of Australian Antarctic and Sub-antarctic Metadata (CAASM http://data.aad.gov.au/aadc/metadata) or through customized applications accessible via the website. All data is archived in AADC to permit its re-use. AADC has capability to create DOIs for datasets.

Proper citation: Australian Antarctic Data Centre (RRID:SCR_006320) Copy   

•   Source: SciCrunch Registry

http://www.aiddata.org/

Portal of information about international economic development assistance, dating back to 1947, that includes a database of nearly one million past and present aid activities around the world, aid information management services and tools, data visualization technologies, and research designed to increase understanding of development finance. AidData is searchable by topic such as disaster prevention, energy supply, water supply or reconstruction relief. You may also search by specific regions including Africa, Europe, America, Asia, or Oceania.

Proper citation: AidData (RRID:SCR_010480) Copy   

•   Source: SciCrunch Registry

http://www.aoos.org/

Portal for ocean and coastal observations data. They address regional and national needs for ocean information, gather specific data on key coastal and ocean variables, and ensure timely and sustained dissemination and availability of these data. . AOOS programmatic focus areas are: * Safe marine operations * Coastal hazard mitigation * Tracking ecosystem and climate trends * Monitoring water quality

Proper citation: Alaska Ocean Observing System (RRID:SCR_010481) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.brainimagelibrary.org

Public, NIH-funded repository and analysis ecosystem for brain microscopy data, designed to store, share, and process massive volumetric datasets. It enables researchers to access whole-brain images, neuron morphologies, and spatial data without needing to download, fostering collaborative discovery. Used to deposit, analyze, mine, share and interact with large brain image datasets.

Proper citation: Brain Image Library (RRID:SCR_017272) Copy   

•   Source: SciCrunch Registry

https://qdr.syr.edu/

Archive for storing and sharing digital data (and accompanying documentation) generated or collected through qualitative and multi method research in social sciences. QDR provides data management consulting services and actively curates all data projects, maintaining value and usefulness of data over time, and ensuring their availability and findability for re-use.

Proper citation: Qualitative Data Repository (RRID:SCR_022833) Copy   

•   Source: SciCrunch Registry

https://data.4tu.nl/portal

International data repository for science, engineering and design. Services include curation, sharing, long-term access and preservation of research datasets. These services are available to anyone around the world. In addition, 4TU.ResearchData also offers training and resources to researchers to support them in making research data findable, accessible, interoperable and reproducible (FAIR).

Proper citation: 4TU.ResearchData (RRID:SCR_023125) Copy   

•   Source: SciCrunch Registry