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http://www.ncbi.nlm.nih.gov/pccompound

One of three primary databases of PubChem (Pcsubstance, Pccompound, and PCBioAssay), PubChem Compound Database contains validated chemical depiction information provided to describe substances in PubChem Substance. Structures stored within PubChem Compounds are pre-clustered and cross-referenced by identity and similarity groups. Additionally, calculated properties and descriptors are available for searching and filtering of chemical structures. A PubChem FTP and structure download are available. New data are accepted into the repository.

Proper citation: PubChem Compound (RRID:SCR_010578) Copy   

•   Source: SciCrunch Registry
  

https://datasetsearch.research.google.com/

Search engine for datasets hosted in web-based repositories and marked up according to schema.org. Helps users find datasets on the web. It aggregates information from publisher websites, digital libraries, and other sources, and uses metadata to allow users to filter results by criteria like last updated date, usage rights, download format, and topic. Users can find datasets across a wide variety of disciplines, including scientific, government, and commercial data.

Proper citation: Google Dataset Search (RRID:SCR_027615) Copy   

•   Source: SciCrunch Registry
  

http://www.msdiscovery.org/

Portal that aims to inspire connections, clinical advances and accelerate progress toward multiple sclerosis cures. MSDF updates its site with news and information about topics relevant to multiple sclerosis and hosts discussions about controversial subjects with the goal of spreading information and enabling collaboration between researchers. MSDF provides access to drug development pipelines, tissue repositories, the MS gene, animal models, and clinical trials.

Proper citation: Multiple Sclerosis Discovery Forum (RRID:SCR_000027) Copy   

•   Source: SciCrunch Registry
  

http://googlescholar.blogspot.com/

The official source of information about Google Scholar. Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research.

Proper citation: Google Scholar Blog (RRID:SCR_006895) Copy   

•   Source: SciCrunch Registry
  

https://commons.datacite.org/

Web discovery, analytics, and reporting tool powered by the links between works, people, and organizations in DataCite DOI metadata. DataCite Commons supports searches for works (with DOIs), people (with ORCID iDs), organizations (with ROR IDs), and repositories. By providing analytics dashboards, DataCite Commons empowers researchers and organizations to gain insights and make informed decisions based on comprehensive and interconnected metadata.

Proper citation: DataCite Commons (RRID:SCR_027609) Copy   

•   Source: SciCrunch Registry
  

https://openscicode.org/

Web platform built to automatically find, preserve, and link the programming code written by authors of open-access neuroscience research papers. OSCR scans the text of open-access neuroscience papers to extract direct links to code repositories (such as GitHub) shared by the authors. It actively monitors these source links to ensure they still function and are fully available online.

Proper citation: Open Scientific Code Registry (RRID:SCR_029242) Copy   

•   Source: SciCrunch Registry
  

http://igb.agri.gov.il/main/index.pl

Biobank which collects, preserves, and assesses gene information related to species of plants indigenous to Israel. The Bank's goal is to conserve representative gene pools of species whose economic potential has yet to be developed.

Proper citation: Israel Plant Gene Bank (RRID:SCR_001403) Copy   

•   Source: SciCrunch Registry
  

http://www.bioperl.org

BioPerl is a community effort to produce Perl code which is useful in biology. This toolkit of perl modules is useful in building bioinformatics solutions in Perl. It is built in an object-oriented manner so that many modules depend on each other to achieve a task. The collection of modules in the bioperl-live repository consist of the core of the functionality of bioperl. Additionally auxiliary modules for creating graphical interfaces (bioperl-gui), persistent storage in RDMBS (bioperl-db), running and parsing the results from hundreds of bioinformatics applications (Run package), software to automate bioinformatic analyses (bioperl-pipeline) are all available as Git modules in our repository. The BioPerl toolkit provides a library of hundreds of routines for processing sequence, annotation, alignment, and sequence analysis reports. It often serves as a bridge between different computational biology applications assisting the user to construct analysis pipelines. This chapter illustrates how BioPerl facilitates tasks such as writing scripts summarizing information from BLAST reports or extracting key annotation details from a GenBank sequence record. BioPerl includes modules written by Sohel Merchant of the GO Consortium for parsing and manipulating OBO ontologies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: BioPerl (RRID:SCR_002989) Copy   

•   Source: SciCrunch Registry
  

http://www.debian.org

Debian is Linux distribution composed of free and open source software, developed by community supported Debian Project, which was established by Ian Murdock on August 16, 1993.Debian comes with over 59000 packages (precompiled software that is bundled up in nice format for easy installation on your machine), package manager (APT), and other utilities that make it possible to manage thousands of packages on thousands of computers as easily as installing single application.

Proper citation: Debian (RRID:SCR_006638) Copy   

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http://bioinformatics.psb.ugent.be/

A University of Ghent center of excellence in the fields of gene prediction and genome annotation, comparative and evolutionary genomics, and systems biology. The team is involved in many international genome projects and has a particular interest in genome evolution and gene and genome duplication events.

Proper citation: Bioinformatics Gent (RRID:SCR_010251) Copy   

•   Source: SciCrunch Registry
  

http://www.nei.nih.gov/

Institute conducts and supports research, training, health information dissemination, and other programs with respect to blinding eye diseases, visual disorders, mechanisms of visual function, preservation of sight, and special health problems of individuals who are visually impaired or blind. Supports vision research through grants and training awards. Conducts laboratory and patient oriented research at its own facilities located on NIH campus in Bethesda, Maryland. NEI has established National Eye Health Education Program.

Proper citation: National Eye Institute (NEI) Commons (RRID:SCR_011411) Copy   

•   Source: SciCrunch Registry
  

https://ximbio.com/

Biobank for reagents such as antibodies, mice, and cell lines. Ximbio aims to maximise scientists' commercial opportunities and encourage the sharing of tools and information among the research community.

Proper citation: Ximbio (RRID:SCR_015867) Copy   

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https://aperta.ulakbim.gov.tr

Aperta is the name of the Turkish Open Archive.You can upload your scientific studies within the scope of Aperta to this portal or you can easily access the uploaded studies.

Proper citation: Aperta Turkey Open Archive (RRID:SCR_023128) Copy   

•   Source: SciCrunch Registry
  

https://bayobab.africa/

Bayobab is a next-generation services company connecting Africa with digital solutions. We see Africa through the eyes of its’ population, a continent brimming with potential and possibility. Until May 2023, the company was known as MTN GlobalConnect. The transition to a new brand is a shift to an open-access business model structured to serve all industry participants and add value to stakeholders and partners.

Proper citation: Baobab Africa (RRID:SCR_027168) 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   

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https://www.kaggle.com

A group resource which connects organizations to data scientists who produce accurate predictive models. Kaggle uses competition to incentivize data scientists to create the most accurate and precise predictive models for an organization’s sets of data. The data scientist or team of data scientists who creates the best model is awarded a prize and the organization receives the predictive model.

Proper citation: Kaggle (RRID:SCR_013852) Copy   

•   Source: SciCrunch Registry
  

http://www.thearkdb.org/

The ArkDB database system aims to provide a comprehensive public repository for genome mapping data from farmed and other animal Species. The system also aims to provide a route in to genomic and other sequence from the initial viewpoint of linkage mapping, RH mapping, physical mapping or - possibly more importantly - QTL mapping data. Sponsors: ArkDB is funded by Biotechnology and Biological Sciences Research Council (BBSRC), UK. Cat, Chicken, Cow, Deer, Duck, Horse, Pig, Quail, Salmon, Sea Bass, Sheep, Turkey, QLT map, Linkage map, RH map, Farm animal, Genome map, Sequence, Mapping

Proper citation: ArkDB - Genomes For The Rest of Us (RRID:SCR_001838) Copy   

•   Source: SciCrunch Registry
  

https://research.ochsner.org/clinical-research/biobank

Biospecimen and clinical data repository for researchers that includes tumor and normal tissue, blood samples, and other bio fluids. Samples are refrigerated, frozen, deep frozen, or frozen in liquid nitrogen. Four service lines are provided: ExpressBank offers access to biospecimens, which are collected under IRB-approved core protocol for future unknown research projects; Service Bank offers services such as biospecimen procurement, processing, and temporary banking; PathBank offers access to high-quality, annotated formalin-fixed paraffin-embedded (FFPE) tissues and H&E slides from Pathology department on fee-for-sample basis; and On-DemandBank allows targeted development of a temporary Biobank that strictly meets the specifications of an IRB-approved collection protocol of a sponsor on fee-for-service basis.

Proper citation: Ochsner Biobank (RRID:SCR_001396) Copy   

•   Source: SciCrunch Registry
  

http://www.chickest.udel.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. A chicken EST Web site has been created to provide access to the data, and a set of unique sequences has been deposited with GenBank. This site contains over 40,000 EST sequences from the chicken cDNA libraries in the University of Delaware collection. Users can perform keyword searches, BLAST nucleotide sequences against our database, view clusters of similar or overlapping clones, and order clones. The cDNA and gene sequences of many mammalian cytokines and their receptors are known. However, corresponding information on avian cytokines is limited due to the lack of cross-species activity at the functional level or strong homology at the molecular level. To improve the efficiency of identifying cytokines and novel chicken genes, a directionally cloned cDNA library from T-cell-enriched activated chicken splenocytes was constructed, and the partial sequence of 5251 clones was obtained. Sequence clustering indicates that 2357 (42%) of the clones are present as a single copy, and 2961 are distinct clones, demonstrating the high level of complexity of this library. Comparisons of the sequence data with known DNA sequences in GenBank indicate that approximately 25% of the clones match known chicken genes, 39% have similarity to known genes in other species, and 11% had no match to any sequence in the database. Several previously uncharacterized chicken cytokines and their receptors were present in our library. This collection provides a useful database for cataloging genes expressed in T cells and a valuable resource for future investigations of gene expression in avian immunology. Therefore, the Chick EST database was created.

Proper citation: UD Chick EST Project (RRID:SCR_002236) Copy   

•   Source: SciCrunch Registry
  

http://www.stembase.ca

A publicly accessible database containing data on Affymetrix DNA microarray experiments, and Serial Analysis of Gene Expression, mostly on human and mouse stem cell samples and their derivatives to facilitate the discovery of gene functions relevant to stem cell control and differentiation. It has grown in both size and scope into a system with analysis tools that examine either the whole database at once, or slices of data, based on tissue type, cell type or gene of interest. There is currently more than 210 stem cell samples in 60 different experiments, with more being added regularly. The samples were originated by researchers of the Stem Cell Network and processed at the Core Facility of Stemcore Laboratories under the management of Ms. Pearl Campbell in the frame of the Stem Cell Genomics Project. Periodically, new expression data is submitted to the Gene Expression Omnibus (GEO) repository at the National Center for Biotechnological Information, in order to allow researchers to compare the data deposited in StemBase to a large amount of gene expression data sets. StemBase is different from GEO in both focus and scope. StemBase is concerned exclusively with stem cell related data. we are focused in Stem Cell research. We have made a significant effort to ensure the quality and consistency of the data included. This allows us to offer more specialized analysis tools related to Stem Cell data. GEO is intended as a large scale public archive. Deposition in a public repository such as GEO is required by most important scientific journals and it is advantageous for a further diffusion of the data since GEO is more broadly used than StemBase.

Proper citation: StemBase (RRID:SCR_006252) Copy   

•   Source: SciCrunch Registry