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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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BARI 2D Resource Report Resource Website 1+ mentions |
BARI 2D (RRID:SCR_001496) | BARI 2D, BARI-2D | clinical trial | A multicenter randomized clinical trial that aims to determine the best therapies for people with type 2 diabetes and moderately severe cardiovascular disease. 2368 participants were randomized at 49 sites in 6 countries. All subjects were given intensive medical therapy to control cholesterol and blood pressure and given counseling, if needed, to quit smoking and to lose weight. Beyond that, they compared whether prompt revascularization, either bypass surgery or angioplasty, e.g. stents, was more effective than medical therapy alone. At the same time, they also looked at which of two diabetes treatment strategies resulted in better outcomes����??insulin-providing versus insulin-sensitizing - that is, increasing the amount of insulin or making the insulin work better. Only patients with known type 2 diabetes and heart disease that could be treated appropriately with a revascularization OR medical therapy alone were eligible for the trial. Patients entered the study between January 2001 ����?? March 2005 and were followed for an average of five years. When a patient entered the study, physicians first decided whether that patient should receive stenting or bypass surgery. The patient then received their randomization assignment. All patients were treated in BARI 2D for both their diabetes and heart disease, as well as other risk factors that might effect those diseases, regardless of which group they were in. Diabetes-specific complications including retinopathy, nephropathy, neuropathy, and peripheral vascular disease were monitored regularly. Tests, blood samples, urine samples, and treatment cost data were obtained periodically through the trial and examined by experts at 7 central laboratories and other research partners. Experts on risk factors routinely oversaw treatments of all patients at 4 central management centers. A panel of independent experts reviewed data every six months to make sure that all patients were receiving safe care. | clinical, cholesterol, blood pressure, counseling, insulin, epidemiology, longitudinal, stenting, bypass surgery, standard-of-care study, standard-of-care, treatment, medication, outcome, medical cost, blood, urine, biomaterial supply resource |
is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) has parent organization: University of Pittsburgh; Pennsylvania; USA |
Type 2 diabetes, Cardiovascular disease, Heart attack, Stroke | NCRR 5M01RR000847-36 | PMID:23757426 PMID:23735723 PMID:23500245 PMID:23067918 PMID:23008442 PMID:22527794 PMID:22496082 PMID:21958742 |
Free, Freely available | nlx_152754 | SCR_001496 | Bypass Angioplasty Revascularization Investigation (BARI) 2 Diabetes, Bypass Angioplasty Revascularization Investigation 2 Diabetes | 2026-02-07 02:05:38 | 1 | ||||
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Proteome Commons Tranche repository Resource Report Resource Website 1+ mentions |
Proteome Commons Tranche repository (RRID:SCR_003441) | Tranche | software resource | A distributed file storage system that you can upload files to and download files from. All files uploaded to the repository are replicated several times to protect against their accidental loss. Files uploaded to the repository can be of any size, can be of any file type, and can be encrypted with a passphrase of your choosing. The Proteome Commons Tranche repository is the first instance of a Tranche repository. Tranche, was created so that anybody can take it and make their own Tranche repository. This is the first implementation of the Tranche software, and is useful as a test bed for the software. This repository relies on educational institutions to provide the hardware and facilities for Tranche servers. While we maintain a set of servers, the continued growth of this public resource will rely on the generosity of the institutions that use the repository most. | proteome, storage, proteomics, distributed, server, mass spectrometry, protein, peptide, file sharing, security |
is listed by: Biositemaps has parent organization: University of Michigan; Ann Arbor; USA has parent organization: Proteome Commons |
NCI ; Clinical Proteomics Technologies for Cancer ; NCRR P41-RR018627 |
PMID:21063945 PMID:20356086 |
Open unspecified license (Apache v2); registration required . See Terms of Use, Https://proteomecommons.org/terms.jsp | nif-0000-33195 | http://tranche.proteomecommons.org | SCR_003441 | Tranche Project | 2026-02-07 02:06:19 | 8 | ||||
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General Clinical Research Centers Program Resource Report Resource Website 10+ mentions |
General Clinical Research Centers Program (RRID:SCR_002847) | GCRC | funding resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Through the General Clinical Research Centers (GCRC) program, NCRR funds a national network that provides settings for medical investigators to conduct safe, controlled, state-of-the-art, in-patient and out-patient studies of both children and adults. GCRCs also provide infrastructure and resources that support several career development opportunities. | clinical research program, career development |
has parent organization: National Center for Research Resources has parent organization: National Institutes of Health |
NCRR | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25308 | SCR_002847 | General Clinical Research Centers, General Clinical Research Centers (GCRC) | 2026-02-07 02:05:51 | 35 | ||||||
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GOEx - Gene Ontology Explorer Resource Report Resource Website 10+ mentions |
GOEx - Gene Ontology Explorer (RRID:SCR_005779) | GOEx | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. Gene Ontology Explorer (GOEx) combines data from protein fold changes with GO over-representation statistics to help draw conclusions in proteomic experiments. It is tightly integrated within the PatternLab for Proteomics project and, thus, lies within a complete computational environment that provides parsers and pattern recognition tools designed for spectral counting. GOEx offers three independent methods to query data: an interactive directed acyclic graph, a specialist mode where key words can be searched, and an automatic search. A recent hack included in GOEx is to load the sparse matrix index file directly into GOEx, instead of going through the report generation using the AC/T-fold methods. This makes it easy for GOEx to analyze any list of proteins as long as the list follows the index file format (described in manuscript) . Please note that if using this alternative strategy, there will be no protein fold information. Platform: Windows compatible | proteomics, visualization, statistical analysis, gene ontology, parse, pattern recognition, spectral counting, analysis, protein fold |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Scripps Research Institute |
CNPq ; CAPES ; FAPERJ BBP grant ; PAPES ; PDTIS ; Ary Frauzino Foundation ; NIAID ; NIH ; genesis molecular biology laboratory ; Fiocruz-INCA collaboration ; NIAID UCSD/MCB0237059; NCRR P41RR011823; NIMH 5R01 MH067880 |
PMID:19239707 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149249 | http://pcarvalho.com/patternlab/goex.shtml | SCR_005779 | Gene Ontology Explorer, GO Explorer | 2026-02-07 02:06:51 | 26 | ||||
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National Resource for Automated Molecular Microscopy Resource Report Resource Website 1+ mentions |
National Resource for Automated Molecular Microscopy (RRID:SCR_001448) | NRAMM | biomedical technology research center, training resource | Biomedical technology research center that develops, tests and applies technology aimed toward completely automating the processes involved in solving macromolecular structures using cryo-electron microscopy. The goal is to establish a resource that will serve both as a center for high-throughput molecular microscopy as well as for transferring this technique to the research community. Current Core Technology Research and Development is focused on 4 areas: improving grid substrates and specimen preparation; further automation and optimization of image acquisition; development of an integrated single particle analysis and processing pipeline; and the development of automated high throughput EM screening. NRAMM welcomes applications of both collaborative and service projects. | macromolecular structure, cryo-electron microscopy, macromolecule, structure, microscopy, automation, high throughput, specimen handling, image acquisition, data processing, data information integration, structural biology technology center | NIGMS 9 P41 GM103310; NCRR 2P41RR017573 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152671 | SCR_001448 | 2026-02-10 09:54:31 | 2 | ||||||||
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National Biomedical Center for Advanced ESR Technology Resource Report Resource Website 1+ mentions |
National Biomedical Center for Advanced ESR Technology (RRID:SCR_001444) | ACERT | biomedical technology research center, training resource | Biomedical technology research center that develops methods, both experimental and theoretical, of modern electron spin resonance (ESR) for biomedical applications. Center technologies are applicable to the determination of the structure and complex dynamics of proteins. Principal areas of expertise: * Pulsed Fourier Transform and Two Dimensional ESR * High Frequency-High Field (HFHF) ESR * High Resolution ESR Microscopy * Theory and Computational Methods for Modern ESR Activities include: * making resources available to the biomedical community, * publishing results, * running workshops on the new methodologies, * addressing the need to bring these new technologies to other laboratories. | electron spin resonance, spectrometer, electron spin resonance spectrometer, structure, dynamics, protein, structural biology technology center | has parent organization: Cornell University; New York; USA | NIGMS P41GM103521; NCRR P41RR016292 |
Free, Freely Available | nlx_152669 | SCR_001444 | ACERT National ESR Center, National Biomedical Center for Advanced Electron Spin Resonance Technology | 2026-02-10 09:54:31 | 1 | ||||||
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BUSM Mass Spectrometry Resource Resource Report Resource Website |
BUSM Mass Spectrometry Resource (RRID:SCR_000823) | Mass Spectrometry Resource | biomedical technology research center, training resource | Biomedical technology research center that conducts high-sensitivity structural determinations and analyses of biological compounds via mass spectrometry. The emphasis is on glycoconjugates, oligosaccharides and proteins. | systems biology technology center, mass spectrometry, glycoconjugate, oligosaccharide, protein | has parent organization: Boston University School of Medicine; Massachusetts; USA | NCRR P41RR010888 | nlx_152679 | SCR_000823 | Mass Spectrometry Resource for Biology and Medicine, Boston University School of Medicine Mass Spectrometry Resource, Boston University Mass Spectrometry Resource for Biology and Medicine | 2026-02-10 09:54:24 | 0 | |||||||
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Yeast Resource Center Resource Report Resource Website 1+ mentions |
Yeast Resource Center (RRID:SCR_007942) | YRC | biomedical technology research center, training resource | Biomedical technology research center that (1) exploits the budding yeast Saccharomyces cerevisiae to develop novel technologies for investigating and characterizing protein function and protein structure (2) facilitates research and extension of new technologies through collaboration, and (3) actively disseminates data and technology to the research community. Through collaboration, the YRC freely provides resources and expertise in six core technology areas: Protein Tandem Mass Spectrometry, Protein Sequence-Function Relationships, Quantitative Phenotyping, Protein Structure Prediction and Design, Fluorescence Microscopy, Computational Biology. | systems biology technology center, protein function, protein structure, mass spectrometry, protein, structure prediction, fluorescence microscopy, computational biology, sequence, function, phenotyping | has parent organization: University of Washington; Seattle; USA | NCRR ; NIGMS P41 GM103533 |
nif-0000-03650 | SCR_007942 | YRC | 2026-02-10 09:55:44 | 6 | |||||||
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Center for Computational Mass Spectrometry Resource Report Resource Website 1+ mentions |
Center for Computational Mass Spectrometry (RRID:SCR_008161) | CCMS | biomedical technology research center, training resource | Biomedical technology research center that focuses on the computational bottlenecks that impair the interpretation of data, bringing modern algorithmic approaches to mass spectrometry and building a new generation of reliable, open-access software tools to support both new mass spectrometry instrumentation and emerging applications. | systems biology technology center, mass spectrometry, algorithm, computational proteomics, proteomics |
is listed by: DataCite has parent organization: University of California at San Diego; California; USA has parent organization: University of California; California; USA is parent organization of: NeuroPedia |
NCRR ; NIGMS |
nlx_152677 | https://api.datacite.org/dois?prefix=10.25345 | SCR_008161 | UCSD Center for Computational Mass Spectrometry | 2026-02-10 09:55:45 | 7 | ||||||
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National Resource for Network Biology Resource Report Resource Website 1+ mentions |
National Resource for Network Biology (RRID:SCR_004259) | NRNB | biomedical technology research center, training resource | Biomedical technology research center that develops new algorithms, visualizations and conceptual frameworks to study biological networks at multiple levels and scales, from protein-protein and genetic interactions to cell-cell communication and vast social networks. They are developing freely available, open-source suite of software technology that broadly enables network-based visualization, analysis, and biomedical discovery for NIH-funded researchers. This software is enabling researchers to assemble large-scale biological data into models of networks and pathways and to use these networks to better understand how biological systems operate under normal conditions and how they fail in disease. The National Resource for Network Biology is organized around the following key components: Technology Research and Development, Driving Biomedical Projects, Outreach, Training and Dissemination of Tools. The NRNB supports several types of training events, including both virtual and live workshops; tutorials sessions for clinicians, biologists and bioinformaticians; presentations and demonstrations at conferences; online tutorials and webcasts; and annual symposium. | protein-protein interaction, interaction, cell, cell communication, network, model, pathway, biological system, disease, visualization, analysis, biomedical, computing and informatics technology center | has parent organization: University of California at San Diego; California; USA | NIGMS GM103504; NCRR RR031228 |
nlx_27231 | SCR_004259 | 2026-02-10 09:55:03 | 6 | ||||||||
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Neuroimage Analysis Center Resource Report Resource Website 1+ mentions |
Neuroimage Analysis Center (RRID:SCR_008998) | NAC | biomedical technology research center, training resource | Biomedical Technology Resource Center that develops image processing and analysis techniques for basic and clinical neurosciences. The NAC research approach emphasizes both specific core technologies and collaborative application projects. The core activity of the center is the development of algorithms and techniques for postprocessing of imaging data. New segmentation techniques aid identification of brain structures and disease. Registration methods are used for relating image data to specific patient anatomy or one set of images to another. Visualization tools allow the display of complex anatomical and quantitative information. High-performance computing hardware and associated software techniques further accelerate algorithms and methods. Digital anatomy atlases are developed for the support of both interactive and algorithmic computational tools. Although the emphasis of the NAC is on the dissemination of concepts and techniques, specific elements of the core software technologies have been made available to outside researchers or the community at large. The NAC's core technologies serve the following major collaborative projects: Alzheimer's disease and the aging brain, morphometric measures in schizophrenia and schizotypal disorder, quantitative analysis of multiple sclerosis, and interactive image-based planning and guidance in neurosurgery. One or more NAC researchers have been designated as responsible for each of the core technologies and the collaborative projects. | brain, neuroimaging, image processing, image analysis, postprocessing, segmentation, registration, algorithm, technique, brain structure, visualization, neurosurgery | has parent organization: Harvard Medical School; Massachusetts; USA | Alzheimer's disease, Aging, Schizophrenia, Schizotypal disorder, Multiple Sclerosis, Neurosurgery | NIBIB P41 EB015902; NCRR P41 RR13218 |
nlx_152643 | SCR_008998 | Neuroimaging Analysis Center | 2026-02-10 09:55:54 | 8 | ||||||
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NIH / NCRR Mass Spectrometry Resource Washington University in St. Louis Resource Report Resource Website 1+ mentions |
NIH / NCRR Mass Spectrometry Resource Washington University in St. Louis (RRID:SCR_009009) | Mass Spectrometry Resource, WU Mass Spectrometry Resource | biomedical technology research center, training resource | Biomedical technology research center that develops mass spectrometry-based tools for the study of proteins, lipids and metaboilites. These include biomarker identification, stable isotope mass spectrometry and the analysis of intact proteins. Our goals are: * to conduct basic research in the science of mass spectrometry * to establish collaborative research projects with scientists at WU and at other institutions * to provide a service in mass spectrometry * to educate and train students in mass spectrometry * to disseminate results of our research and descriptions of the subject of mass spectrometry | systems biology technology center, mass spectrometry, protein, lipid, metaboilite, biomarker, isotope, analysis | has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA | NIGMS ; NCRR 2P41RR00954 |
nlx_152688 | SCR_009009 | Mass Spectrometry Resource at Washington University in St. Louis, Washington University Mass Spectrometry Resource | 2026-02-10 09:55:54 | 1 | |||||||
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Resource for Integrated Glycotechnology Resource Report Resource Website |
Resource for Integrated Glycotechnology (RRID:SCR_009008) | Resource for Integrated Glycotechnology | biomedical technology research center, training resource | Biomedical technology research center that develops technologies to increase understanding of the molecular basis of the involvement of carbohydrates in protein-carbohydrate interactions in disease and to develop more powerful technologies necessary to achieve this goal. Complex carbohydrates play an important role in many biomedically important processes, including inflammatory response, hormone action, malignancy, viral and bacterial infections and cell differentiation. The resource combines complimentary technologies: synthetic chemistry, nuclear magnetic resonance, mass spectrometry, computational biology, protein expression and cell-based assays. As new technologies are developed, application to these processes will be pursued through collaborative and service projects. | systems biology technology center, protein-carbohydrate interaction, disease, synthetic chemistry, nuclear magnetic resonance, mass spectrometry, computational biology, protein expression, cell-based assay, glycan, enzyme, carbohydrate | has parent organization: University of Georgia; Georgia; USA | NIGMS 8 P41 GM103390-23; NCRR 5P41RR005351-23 |
nlx_152685 | SCR_009008 | 2026-02-10 09:55:54 | 0 | ||||||||
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Integrated Technology Resource for Biomedical Glycomics Resource Report Resource Website 1+ mentions |
Integrated Technology Resource for Biomedical Glycomics (RRID:SCR_009003) | Integrated Technology Resource for Biomedical Glycomics | biomedical technology research center, training resource | Biomedical technology research center that develops and implements new technologies to investigate the glycome of cells, including glycoproteomics and glycoconjugate analysis, transcript analysis and bioinformatics. It develops the tools and technology to analyze in detail the glycoprotein and glycolipid expression of mouse embryonic stem cells and the cells into which they differentiate. The technology developed in the Center will allow an understanding of how glycosylation is controlled during differentiation and will allow the development of tools to promote the use of stem cells to treat human disease. In addition, the technology developed will be applicable to the study of other cell types, including cancer cells that are progressing to a more invasive phenotype. The technology developed will also allow others in the scientific community to participate in glycomics research through dissemination of the new methods developed and through the analytical services provided by the resource to other scientists requesting assistance in glycomic analyses. | systems biology technology center, glycome, cell, glycoproteomics, glycoconjugate analysis, transcript analysis, bioinformatics, glycoprotein, glycolipid, embryonic stem cell, glycosylation, stem cell, glycomics | has parent organization: University of Georgia; Georgia; USA | NCRR ; NIGMS |
nlx_152678 | SCR_009003 | NCRR Integrated Technology Resource for Biomedical Glycomics | 2026-02-10 09:55:54 | 1 | |||||||
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SSRL Structural Molecular Biology Resource Report Resource Website 1+ mentions |
SSRL Structural Molecular Biology (RRID:SCR_009000) | SSRL SMB | biomedical technology research center, training resource | Biomedical technology research center that operates as a integrated center with three primary areas (or cores) of technological research and development and scientific focus: macromolecular crystallography (MC), X-ray absorption spectroscopy (XAS) and small-angle X-ray scattering/diffraction (SAXS) . Central to the core technological developments in all three areas is the development and utilization of improved detectors and instrumentation, especially to be able to take maximum advantage of the high brightness of SSRL?s third-generation synchrotron X-ray storage ring (SPEAR3). A primary focus is the use of enhanced computing and data management tools to provide more user-friendly, real-time and on-line instrumentation control, including full remote access for crystallography, data reduction and analysis. | synchrotron, radiation, structural biology, structural biology technology center, macromolecular crystallography, x-ray absorption spectroscopy, small-angle x-ray scattering, diffraction | has parent organization: Stanford University; Stanford; California | DOE ; NIGMS ; NCRR P41RR001209 |
nlx_152676 | SCR_009000 | Stanford Synchrotron Radiation Lightsource Structural Molecular Biology, Synchrotron Radiation Structural Biology Resource | 2026-02-10 09:55:54 | 1 | |||||||
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NeuroPedia Resource Report Resource Website 10+ mentions |
NeuroPedia (RRID:SCR_001551) | NeuroPedia | data or information resource, database | A neuropeptide encyclopedia of peptide sequences (including genomic and taxonomic information) and spectral libraries of identified MS/MS spectra of homolog neuropeptides from multiple species. | proteomics, peptide, neuropeptide, mass spectrometry assay, peptide sequence, spectrum, homolog | has parent organization: Center for Computational Mass Spectrometry | NCRR P41-RR024851; NIDA 5K01DA23065; NINDS R01 NS24553; NIDA R01 DA04271; NIMH R01 MH077305; NHLBI P01 HL58120 |
PMID:21821666 | Free, Freely available | nlx_152894 | SCR_001551 | NeuroPedia: Neuropeptide database and spectra library | 2026-02-11 10:56:15 | 12 | |||||
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UniProt Resource Report Resource Website 10000+ mentions |
UniProt (RRID:SCR_002380) | UniProt | data or information resource, database | Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB. | collection, protein, sequence, annotation, data, functional, information |
is used by: LIPID MAPS Proteome Database is used by: ChannelPedia is used by: Open PHACTS is used by: DisGeNET is used by: Smart Dictionary Lookup is used by: MitoMiner is used by: Cytokine Registry is used by: MobiDB is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is used by: Phospho.ELM is used by: GEROprotectors is used by: SwissLipids is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: LabWorm is related to: Clustal W2 is related to: UniProt DAS is related to: UniParc at the EBI is related to: ProDom is related to: LegumeIP is related to: Pathway Commons is related to: NIH Data Sharing Repositories is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: 3D-Interologs is related to: Biomine is related to: EBIMed is related to: STOP is related to: Coremine Medical is related to: BioExtract is related to: STRAP is related to: GOTaxExplorer is related to: GoAnnotator is related to: IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures is related to: Whatizit is related to: MOPED - Model Organism Protein Expression Database is related to: Polbase is related to: PredictSNP is related to: PSICQUIC Registry is related to: IntAct is related to: p300db is related to: UniProt Proteomes is related to: SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation has parent organization: European Bioinformatics Institute has parent organization: SIB Swiss Institute of Bioinformatics has parent organization: Protein Information Resource is parent organization of: UniProtKB is parent organization of: NEWT is parent organization of: UniParc is parent organization of: UniProt Chordata protein annotation program is parent organization of: UniRef works with: Genotate works with: CellPhoneDB works with: MOLEonline works with: MiMeDB |
NHGRI U41 HG006104; NHGRI P41 HG02273; NIGMS 5R01GM080646; NIGMS R01 GM080646; NLM G08 LM010720; NCRR P20 RR016472; NSF DBI-0850319; British Heart Foundation ; NEI ; NHLBI ; NIA ; NIAID ; NIDDK ; NIMH ; NCI ; EMBL ; PDUK ; ARUK ; NHGRI U24 HG007722 |
PMID:19843607 PMID:18836194 PMID:18045787 PMID:17142230 PMID:16381842 PMID:15608167 PMID:14681372 |
nif-0000-00377, SCR_018750, r3d100010357 | http://www.ebi.uniprot.org http://www.uniprot.org/uniprot/ http://www.pir.uniprot.org ftp://ftp.uniprot.org https://doi.org/10.17616/R3BW2M |
SCR_002380 | , The Universal Protein Resource, Universal Protein Resource, UNIPROT Universal Protein Resource | 2026-02-11 10:56:28 | 17565 | |||||
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Open Access Series of Imaging Studies Resource Report Resource Website 100+ mentions |
Open Access Series of Imaging Studies (RRID:SCR_007385) | OASIS | data or information resource, database | Project aimed at making neuroimaging data sets of brain freely available to scientific community. By compiling and freely distributing neuroimaging data sets, future discoveries in basic and clinical neuroscience are facilitated. | early, stage, alzheimer, disease, mri, fmri, image, brain, dicom, magnetic, resonance, collection, data, FASEB list |
is used by: NIF Data Federation is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Automatic Registration Toolbox is related to: 2012 MICCAI Multi-Atlas Labeling Challenge Data has parent organization: Howard Hughes Medical Institute has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA has parent organization: Biomedical Informatics Research Network is parent organization of: Cover Pages |
Alzheimer's disease, Dementia, Normal, Nondemented, Aging | NIA P50 AG05681; NIA P01 AG03991; NIA R01 AG021910; NIMH P50 MH071616; NCRR U24 RR021382; NIMH R01 MH56584 |
Free, Acknowledgement required | r3d100012182, nif-0000-00387 | http://www.nitrc.org/projects/oasis https://doi.org/10.17616/R3RS8K |
SCR_007385 | The Open Access Series of Imaging Studies, Open Access Series of Imaging Studies, OASIS | 2026-02-11 10:57:34 | 299 | ||||
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Biological General Repository for Interaction Datasets (BioGRID) Resource Report Resource Website 1000+ mentions |
Biological General Repository for Interaction Datasets (BioGRID) (RRID:SCR_007393) | BioGRID | data or information resource, database | Curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts. | budding yeast, fission yeast, protein, gene, protein interaction, genetic interaction, model organism, interaction, dataset, gene annotation, phenotype, orthologous interaction, yeast, cellular interaction network, physical interaction, protein-peptide, protein-rna, protein-protein interaction, genetics, publication, raw protein, genetic interaction, web service, pathway, network, biology, gene mapping, statistics, bio.tools, FASEB list |
is used by: NIF Data Federation is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: OMICtools is listed by: DataCite is listed by: NIH Data Sharing Repositories is listed by: bio.tools is listed by: Debian is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: Pathway Commons is related to: Cytoscape is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: Integrated Molecular Interaction Database is related to: PSICQUIC Registry is related to: PSI-MI is related to: NIH Data Sharing Repositories is related to: Agile Protein Interactomes DataServer is related to: Integrated Manually Extracted Annotation has parent organization: Princeton University; New Jersey; USA has parent organization: University of Edinburgh; Scotland; United Kingdom has parent organization: University of Montreal; Quebec; Canada works with: IMEx - The International Molecular Exchange Consortium |
NCRR R01 RR024031; NHGRI HG02223; Canadian Institutes of Health Research ; BBSRC ; NIH Office of the Director R24 OD011194 |
PMID:23203989 PMID:21071413 PMID:16381927 PMID:12620108 |
Free, Freely available | nif-0000-00432, r3d100010350, OMICS_01901, biotools:the_grid | https://orip.nih.gov/comparative-medicine/programs/genetic-biological-and-information-resources https://bio.tools/the_grid https://doi.org/10.17616/R34C7G |
SCR_007393 | , BioGRID, Biological General Repository for Interaction Datasets | 2026-02-11 10:57:38 | 2554 | ||||
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COBRE Resource Report Resource Website 100+ mentions |
COBRE (RRID:SCR_010482) | COBRE | data or information resource, data set | Data set of raw anatomical and functional MR data from 72 patients with Schizophrenia and 75 healthy controls (ages ranging from 18 to 65 in each group). All subjects were screened and excluded if they had: history of neurological disorder, history of mental retardation, history of severe head trauma with more than 5 minutes loss of consciousness, history of substance abuse or dependence within the last 12 months. Diagnostic information was collected using the Structured Clinical Interview used for DSM Disorders (SCID). A multi-echo MPRAGE (MEMPR) sequence was used with the following parameters: TR/TE/TI = 2530/(1.64, 3.5, 5.36, 7.22, 9.08)/900 ms, flip angle = 7��, FOV = 256x256 mm, Slab thickness = 176 mm, Matrix = 256x256x176, Voxel size =1x1x1 mm, Number of echos = 5, Pixel bandwidth =650 Hz, Total scan time = 6 min. With 5 echoes, the TR, TI and time to encode partitions for the MEMPR are similar to that of a conventional MPRAGE, resulting in similar GM/WM/CSF contrast. Rest data was collected with single-shot full k-space echo-planar imaging (EPI) with ramp sampling correction using the intercomissural line (AC-PC) as a reference (TR: 2 s, TE: 29 ms, matrix size: 64x64, 32 slices, voxel size: 3x3x4 mm3). Slice Acquisition Order: Rest scan - collected in the Axial plane - series ascending - multi slice mode - interleaved MPRAGE - collected in the Sag plane - series interleaved - multi slice mode - single shot The following data are released for every participant: * Resting fMRI * Anatomical MRI * Phenotypic data for every participant including: gender, age, handedness and diagnostic information. | resting fmri, anatomical mri, phenotype, gender, age, handedness, diagnosis, adult human, fmri, mri, neuroimaging, mental state assessment, clinical |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Mind Research Network has parent organization: 1000 Functional Connectomes Project has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Schizophrenia, Normal control, Aging | NCRR 1P20RR021938-01A2 | Creative Commons Attribution-NonCommercial License, Account required | nlx_157762 | SCR_010482 | Center for Biomedical Research Excellence, Center for Biomedical Research Excellence (COBRE) | 2026-02-11 10:58:20 | 108 |
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If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
