Tools   Select Another Resource Report Type

http://www.pazar.info/

Database that unites independently created and maintained data collections of transcription factor and regulatory sequence annotation. The flexible PAZAR schema permits the representation of diverse information derived from experiments ranging from biochemical protein-DNA binding to cellular reporter gene assays. Data collections can be made available to the public, or restricted to specific system users. The data ''boutiques'' within the shopping-mall-inspired system facilitate the analysis of genomics data and the creation of predictive models of gene regulation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PAZAR (RRID:SCR_005410) Copy   

•   Source: SciCrunch Registry
  

http://www.informatics.jax.org/expression.shtml

Community database that collects and integrates the gene expression information in MGI with a primary emphasis on endogenous gene expression during mouse development. The data in GXD are obtained from the literature, from individual laboratories, and from large-scale data providers. All data are annotated and reviewed by GXD curators. GXD stores and integrates different types of expression data (RNA in situ hybridization; Immunohistochemistry; in situ reporter (knock in); RT-PCR; Northern and Western blots; and RNase and Nuclease s1 protection assays) and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development. GXD also maintains an index of the literature examining gene expression in the embryonic mouse. It is comprehensive and up-to-date, containing all pertinent journal articles from 1993 to the present and articles from major developmental journals from 1990 to the present. GXD stores primary data from different types of expression assays and by integrating these data, as data accumulate, GXD provides increasingly complete information about the expression profiles of transcripts and proteins in different mouse strains and mutants. GXD describes expression patterns using an extensive, hierarchically-structured dictionary of anatomical terms. In this way, expression results from assays with differing spatial resolution are recorded in a standardized and integrated manner and expression patterns can be queried at different levels of detail. The records are complemented with digitized images of the original expression data. The Anatomical Dictionary for Mouse Development has been developed by our Edinburgh colleagues, as part of the joint Mouse Gene Expression Information Resource project. GXD places the gene expression data in the larger biological context by establishing and maintaining interconnections with many other resources. Integration with MGD enables a combined analysis of genotype, sequence, expression, and phenotype data. Links to PubMed, Online Mendelian Inheritance in Man (OMIM), sequence databases, and databases from other species further enhance the utility of GXD. GXD accepts both published and unpublished data.

Proper citation: Gene Expression Database (RRID:SCR_006539) Copy   

•   Source: SciCrunch Registry
  

https://docs.airr-community.org/en/stable/miairr/introduction_miairr.html

Checklist of minimally required information that we recommend journals adopt, and that could form requirements for submission to public data repository. AIRR sequencing studies apply high throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). Standards were developed by AIRR Community Minimal Standards Working Group.

Proper citation: Minimal information about Adaptive Immune Receptor Repertoires (RRID:SCR_022596) Copy   

•   Source: SciCrunch Registry
  

http://www.massbank.jp/?lang=en

Public repository of mass spectral data which allows users to search similar spectra on a peak-to-peak basis, on a neutral loss-to-neutral loss basis, or by the m/z value and molecular formula, search chemical compounds by substructures, and keyword search chemical compounds

Proper citation: MassBank (RRID:SCR_015535) Copy   

•   Source: SciCrunch Registry
  

http://neurodatabase.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 09, 2015. A repository of neurophysiology data conforming to BrainML data models and protocols: BrainML-formatted experimental data submissions are published in searchable, browsable form. Registered users may submit new experiments. The site contains spike trains, voltage time series, and some derived histograms from single cell and multi-unit activity. The database focuses on in vivo somatosensory and visual activity during task performance. This resource contains only a few datasets, but they are of high quality and have been used for reanalysis by several parties. There are three primary interfaces for querying data from this repository: a web-based browse interface, a web-based HTML query form, and a Java web start desktop application. In addition, there is an XML interface useful for direct access by software clients. To download the source code, please read and acknowledge the license agreement.

Proper citation: Neurodatabase.org (RRID:SCR_007091) Copy   

•   Source: SciCrunch Registry
  

http://www.physionet.org/

Collection of dissemination and exchange recorded biomedical signals and open-source software for analyzing them. Provides facilities for cooperative analysis of data and evaluation of proposed new algorithm. Providies free electronic access to PhysioBank data and PhysioToolkit software. Offers service and training via on-line tutorials to assist users at entry and more advanced levels. In cooperation with annual Computing in Cardiology conference, PhysioNet hosts series of challenges, in which researchers and students address unsolved problems of clinical or basic scientific interest using data and software provided by PhysioNet. All data included in PhysioBank, and all software included in PhysioToolkit, are carefully reviewed. Researchers are further invited to contribute data and software for review and possible inclusion in PhysioBank and PhysioToolkit. Please review guidelines before submitting material.

Proper citation: PhysioNet (RRID:SCR_007345) Copy   

•   Source: SciCrunch Registry
  

http://conp.ca/

Web interface that facilitates open science for neuroscience community by simplifying global access to and sharing of datasets and tools. Portal internalizes typical data cycle of research project, beginning with data acquisition, followed by data processing with published tools, and ultimately publication of results with link to original dataset. Platform to form interactive network of collaborations in brain research, interdisciplinary student training, international partnerships, clinical translation and open publishing. Provides unified interface to Canadian neuroscience research community. Open neuroscience research with sharing of both data and methods, to create large-scale databases, development of standards for sharing, facilitation of advanced analytic strategies, open dissemination to global community of neuroscience data and methods, and establishment of training programs for next generation of computational neuroscience researchers.

Proper citation: Canadian Open Neuroscience Platform (RRID:SCR_016433) Copy   

•   Source: SciCrunch Registry
  

https://bolin.su.se/data/

Provides open access to Climate and Earth System Data from scientists at the centre and their collaborators. Helps to make your data open, FAIR and visually appealing. Each dataset and source code in the Bolin Centre Database is assigned a unique DOI. This makes it easy to cite and find your data. If dataset has more than one version, each version will have its own DOI.

Proper citation: Bolin Centre Database (RRID:SCR_023142) Copy   

•   Source: SciCrunch Registry
  

http://sidr-dr.inist.fr/

A searchable public data repository for multi-assay studies in the field of high-throughput biology. Studies are annotated and curated using ontologies and controlled vocabularies according to the recommendations of the OBO foundry (Open Biological and Biomedical Ontologies) and the NCBO bioportal. Each data set is assigned a digital object identifier (DOI) provided by DataCite. In addition, the SIDR team has developed an ISA-XML (ISA-ML) version of the ISA-TAB format and the mapping to the FuGE object model (ISA-TABtoFuGE); these improvements should facilitate further tool integration, including web services. SIDR contributes to the proof-of-concept addressing the critical success factor for data integration. The SIDR team will continue to put in place the building blocks for giving access to interoperable data through a world-wide network of national hubs in the context of the community-based ISA infrastructure.

Proper citation: Standards-based Infrastructure with Distributed Resources (RRID:SCR_004532) Copy   

•   Source: SciCrunch Registry
  

http://sciencecareers.sciencemag.org/

The journal Science is one of the most prestigious and widely cited scientific journals in the world. Founded by Thomas Edison in 1880, Science has been publishing breaking news and seminal research for more than 125 years. Science Careers is the careers component of Science that scientists rely on for career information and job postings. Science Careers offers a wide variety of content designed to assist scientists of all disciplines, backgrounds and experience levels navigate their career path. This includes over 3,000 job listings that are updated daily, thousands of career advice articles written by the Science Careers editorial staff, graduate program information, meetings and event information, funding opportunities on GrantsNet, and a Career Forum where scientists can join a community of experts and peers engaging in real time discussions around career issues. For employers, Science Careers provides multiple platforms for recruiting scientists and extending their employment brand including job postings, banner advertisements, email and newsletters and sponsorships.

Proper citation: Science Careers (RRID:SCR_005156) Copy   

•   Source: SciCrunch Registry
  

http://treebase.org/treebase-web/

Repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all kinds of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. Data in TreeBASE are exposed to the public if they are used in a publication that is in press or published in a peer-reviewed scientific journal, book, conference proceedings, or thesis. Data used in publications that are in preparation or in review can be submitted to TreeBASE but will not be available to the public until they have passed peer review.

Proper citation: TreeBASE (RRID:SCR_005688) Copy   

•   Source: SciCrunch Registry
  

https://www.med.unc.edu/pgc/

Consortium conducting meta-analyses of genome-wide genetic data for psychiatric disease. Focused on autism, attention-deficit hyperactivity disorder, bipolar disorder, major depressive disorder, schizophrenia, anorexia nervosa (AN), Tourette syndrome (TS), and obsessive-compulsive disorder (OCD). Used to investigate common single nucleotide polymorphisms (SNPs) genotyped on commercial arrays, structural variation (copy number variation) and uncommon or rare genetic variation. To participate you are asked to upload data from your study to central computer used by this consortium. Genetic Cluster Computer serves as data warehouse and analytical platform for this study . When data from your study have been incorporated, account will be provided on central server and access to all GWAS genotypes, phenotypes, and meta-analytic results relevant to deposited data and participation aims. NHGRI GWAS Catalog contains updated information about all GWAS in biomedicine, and is usually excellent starting point to find comprehensive list of studies. Files can be obtained by any PGC member for any disease to which they contributed data. These files can also be obtained by application to NIMH Genetics Repository. Individual-level genotype and phenotype data requires application, material transfer agreement, and informed consent consideration. Some datasets are also in controlled-access dbGaP and Wellcome Trust Case-Control Consortium repositories. PGC members can also receive back cleaned and imputed data and results for samples they contributed to PGC analyses.

Proper citation: Psychiatric Genomics Consortium (RRID:SCR_004495) Copy   

•   Source: SciCrunch Registry
  

http://www.cos.com/

COS mirrors grants.gov and several other funding resources. There may soon be some conditions for access the data. It also allows users to advertise their funding opportunities. COS is the leading global resource for hard-to-find information critical to scientific research and other projects across all disciplines. We aggregate valuable information so you spend less precious time and money searching for the information you need, leaving you more time and money for your projects. Find funding with COS Funding Opportunities: search the world''s most comprehensive funding resource, with more than 25,000 records worth over $33 billion. COS Expertise profiles and profile tools will no longer be available beginning January 18, 2012. Profiles will be available on COS Pivot, the new tool for connecting to funding and collaborators. The COS Funding Opportunities database includes announcements of grants, prizes and other funding available to researchers, educators and students, professionals, nonprofit organizations, and businesses such as faculty or medical staff spin-offs. * More than 25,000 records representing over $33 billion in funding. * Opportunities by sponsors throughout the world for recipients throughout the world. * Sponsors include private foundations, public agencies, national and local governments, corporations and more. * Monies available for work in all disciplines physical sciences, social sciences, life sciences, health & medicine, arts & humanities. * Funding for many purposes, such as research, collaborations, travel, curriculum development, conferences, fellowships, postdoctoral positions, equipment acquisitions, capital or operating expenses. * Updated daily, all information verified with sponsor, edited for consistency and optimized for accurate searching. If you would like to promote your institution''s funding opportunities, have them listed in our COS Funding Opportunities database.

Proper citation: COS (RRID:SCR_008785) Copy   

•   Source: SciCrunch Registry
  

http://eyelab.biostr.washington.edu/repos/eyelab_repo/

The Image Repository contains a collection of images produced by the research of John Clark's Eye Lab. Experiments include: Irradiated CP49 KO and wildtype, Hypothesis: CP49 KO mice will be more sensitive to X-irradiation than controls Huntington Mice Cataract ID, Hypothesis: Individuals can be identified by the pattern of their cataract. Alpha-Synuclein Mice, Hypothesis: Mice transgenic for the EGFP-tagged, mutant and WT strains of human alpha-synuclein gene, will provide a model for the testing of drugs on aggregation of the protein. alpha B Crystallin/SPARC DKO, Hypothesis: The absence of the chaperone protein, alpha B-Crystallin, causes a greater intensity and earlier onset in the opacifying effects of an absence of the matricellular protein, SPARC. Survey of SPARC KO and WT Survey of SPARC KO and WT Mice The repository is being built through a collaboration between the University of Washington's Department of Biological Structure, led by John Clark, and the Structural Informatics Group, led by Jim Brinkley. As an aim of the Biomedical Information Sciences Technology Initiative (BISTI), members of the Structural Informatics Group have been talking with biomedical researchers to find out their informatics needs. Tools such as this repository are being created in response to those needs. This web tool allows the researchers to add their images to a repository facilitating the organization and management of their data.

Proper citation: The Eye Lab Image Database (RRID:SCR_002038) Copy   

•   Source: SciCrunch Registry
  

http://www.humanproteinpedia.org/

A community portal for sharing and integration of human protein data that allows research laboratories to contribute and maintain protein annotations. The Human Protein Reference Database (HPRD) integrates data that is deposited along with the existing literature curated information in the context of an individual protein. Data pertaining to post-translational modifications, protein-protein interactions, tissue expression, expression in cell lines, subcellular localization and enzyme substrate relationships can be submitted.

Proper citation: Human Proteinpedia (RRID:SCR_002948) Copy   

•   Source: SciCrunch Registry
  

http://www.plexdb.org/index.php

PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data. The integrated tools of PLEXdb allow investigators to use commonalities in plant biology for a comparative approach to functional genomics through use of large-scale expression profiling data sets.

Proper citation: PLEXdb - Plant Expression Database (RRID:SCR_006963) Copy   

•   Source: SciCrunch Registry
  

http://cistrome.org/pc/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A knowledgebase of all of the publicly available ChIP-Seq and DNase-Seq data in mouse and human. They have also manually curated metadata to ensure annotation consistency, and developed a user-friendly display matrix for quick navigation and retrieval of data for specific factors, cells, and papers. The community can contribute to this resource.

Proper citation: CistromeMap (RRID:SCR_002173) Copy   

•   Source: SciCrunch Registry
  

https://www.braincommons.org/

Scalable cloud-based platform for computational discovery designed for the brain health community.The BRAINCommons empowers the global research community by providing access to multi-model data, state-of-the-art tools and a secure interoperable system for data sharing.

Proper citation: BRAIN Commons (RRID:SCR_023140) Copy   

•   Source: SciCrunch Registry
  

http://www-bioc.rice.edu/~shamoo/prid.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2,2022. It is a repository of interactions found by Entangle and compiled into various tables for use by the RNA community. This data does not have a user interface, but data can be accessed in tables. It contains raw Excel/Access Databases and data processed into useful Figures for people who don't want to wade through the primary data. At present it contains informations from 42 PDBs.

Proper citation: Protein-RNA Interaction Database (RRID:SCR_000398) Copy   

•   Source: SciCrunch Registry
  

https://medicine.yale.edu/keck/nida/yped/

Open source system for storage, retrieval, and integrated analysis of large amounts of data from high throughput proteomic technologies. YPED currently handles LCMS, MudPIT, ICAT, iTRAQ, SILAC, 2D Gel and DIGE. The repository contains data sets which have been released for public viewing and downloading by the responsible Primary Investigators. It includes proteomic data generated by the Yale NIDA Neuroproteomics Center (http://medicine.yale.edu/keck/nida/index.aspx). Sample descriptions are compatible with the evolving MIAPE standards.

Proper citation: YPED (RRID:SCR_001436) Copy   

•   Source: SciCrunch Registry