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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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NIF Data Federation Resource Report Resource Website 10+ mentions |
NIF Data Federation (RRID:SCR_004834) | Data Federation | data or information resource, portal, service resource | Service that partners with the community to expose and simultaneously drill down into individual databases and data sets and return relevant content. This type of content, part of the so called hidden Web, is typically not indexed by existing web search engines. Every record links back to the originating site. In order for NIF to directly query these independently maintained databases and datasets, database providers must register their database or dataset with the NIF Data Federation and specify permissions. Databases are concept mapped for ease of sharing and to allow better understanding of the results. Learn more about registering your resource, http://neuinfo.org/nif_components/disco/interoperation.shtm Search results are displayed under the Data Federation tab and are categorized by data type and nervous system level. In this way, users can easily step through the content of multiple resources, all from the same interface. Each federated resource individually displays their query results with links back to the relevant datasets within the host resource. This allows users to take advantage of additional views on the data and tools that are available through the host database. The NIF site provides tutorials for each resource, indicated by the Professor Icon professor icon showing users how to navigate the results page once directed there through the NIF. Additionally, query results may be exported as an Excel document. Note: NIF is not responsible for the availability or content of these external sites, nor does NIF endorse, warrant or guarantee the products, services or information described or offered at these external sites. Integrated Databases: Theses virtual databases created by NIF and other partners combine related data indexed from multiple databases and combine them into one view for easier browsing. * Integrated Animal View * Integrated Brain Gene Expression View * Integrated Disease View * Integrated Nervous System Connectivity View * Integrated Podcasts View * Integrated Software View * Integrated Video View * Integrated Jobs * Integrated Blogs For a listing of the Federated Databases see, http://neuinfo.org/mynif/databaseList.php or refer to the Resources Listed by NIF Data Federation table below. | semantics, neuroscience, animal, annotation, antibody, biospecimen, brain activation foci, clinical trial, connectivity, dataset, disease, drug, grant, image, microarray, model, multimedia, negative data, pathway, people, plasmid, registry, software, brain region, cell, gene, molecule, multi-level, nervous system, nervous system function, model |
uses: MNI Podcasts uses: Educational Resources in Neuroscience uses: Mind Hacks uses: BAMS Nested Regions uses: Indeed uses: NINDS Disorder Index uses: Drug Design Data Resource uses: PubMed Health uses: This Week In Science uses: Science Talk uses: BAMS Connectivity uses: Lady Scientist uses: Psychology Corner uses: Wired Science uses: CENtral Science uses: RetractionWatch.com uses: The Guardian: Science Weekly uses: H2SO4Hurts uses: 60-Second Mind uses: PLoS Blogs uses: Clarity resources uses: Open Source Brain uses: Diabetic Complications Consortium uses: Integrated Animals uses: Kawasaki Disease Dataset uses: EEGbase uses: Integrated Models uses: Lifespan Observations Database uses: NIF Web Services uses: NIF Blog uses: ATCC uses: Cerebellar Platform uses: Brain Machine Interface Platform uses: Rafael Yustes Laboratory uses: ASAP uses: NIH VideoCasting uses: NIDA Data Share uses: Neurofed uses: Candida Genome Database uses: Addgene uses: ASPGD uses: Glomerular Activity Response Archive uses: WikiPathways uses: AmiGO uses: NeuroMorpho.Org uses: Cell Centered Database uses: Integrated uses: Community Structure-Activity Resource uses: ClinicalTrials.gov uses: Ensembl uses: GeneNetwork uses: Avian Brain Circuitry Database uses: EcoCyc uses: Entrez Gene uses: Zebrafish Information Network (ZFIN) uses: Arredondo ANT fNIRS dataset1 uses: Grants.gov uses: T3DB uses: Simtk.org uses: PharmGKB uses: DrugBank uses: Aging Genes and Interventions Database uses: Gene Expression Nervous System Atlas uses: SumsDB uses: bioDBcore uses: BioNumbers uses: Gene Ontology uses: Temporal-Lobe: Hippocampal - Parahippocampal Neuroanatomy of the Rat uses: Gramene uses: Retina Project uses: HomoloGene uses: ArrayExpress uses: Journal of Visualized Experiments uses: Allen Mouse Brain Reference Atlas uses: Gene Weaver uses: Visiome Platform uses: Developmental Therapeutics Program uses: NeuroMab uses: WormBase uses: NeuronDB uses: Integrated Grants uses: studyforrest.org uses: BrainInfo uses: Mouse Phenome Database (MPD) uses: NCBI Taxonomy uses: NCBI Protein Database uses: Psychoactive Drug Screening Program Ki Database uses: Nuclear Receptor Signaling Atlas uses: Brede Database uses: NeuroImaging Tools and Resources Collaboratory (NITRC) uses: Mouse Genome Informatics Transgenes uses: Reactome uses: Cell Image Library (CIL) uses: BAMS Cells uses: Synapse Web uses: Integrated Videos uses: NeuroVault uses: Royal College of Psychiatrists Podcasts uses: WU-Minn HCP 500 Subjects MR and MEG Release uses: Data.gov Science and Research Data Catalog uses: NITRC-IR uses: One Mind Biospecimen Bank Listing uses: Integrated Brain Gene Expression uses: BrainSpan uses: All In The Mind uses: Scientific American Cross-Check uses: PubChem uses: NeuroPod uses: BrainSpan uses: Health.Data.gov uses: Biointeractive uses: UniProtKB uses: Gray Matters uses: dkCOIN uses: Brain Science Podcast uses: NIGMS Human Genetic Cell Repository uses: DISCO uses: GeneDB Lmajor uses: TAIR uses: ScienceNOW uses: Daily Scan uses: SGD uses: Integrated Software uses: BrainPod uses: GeneDB Tbrucei uses: MPO uses: PANTHER uses: Neurology Podcast uses: Integrated Disease uses: VMD uses: UCSF Laboratory for Visual Neuroscience uses: NIMH Chemical Synthesis and Drug Supply Program uses: NIH Neuroscience Microarray Consortium uses: SGN uses: Protocol Online - Your labs reference book uses: Integrated Podcasts uses: OpenNeuro uses: National Academy of Sciences Podcasts uses: Beta Cell Biology Consortium uses: Naturejobs uses: Scientific American Guest Blog uses: jobs.ac.uk uses: New Scientist Jobs uses: Science Careers uses: Access-ScienceJobs.co.uk uses: ScienceBlogs: Life Science uses: ScienceBlogs: Brain and Behavior uses: TheScienceJobs.com uses: Nature Network Blogs uses: The Guardian: Science uses: LabSpaces uses: ScienceBlogs: Medicine and Health uses: Scientific American Observations uses: Scientific American Bering in Mind uses: QUEST uses: Daring Nucleic Adventures - genegeek uses: Oxford Science Blog uses: Sciblogs uses: New York Times - Well uses: SciLogs uses: Cassandras Tears uses: BioPortfolio uses: Now at NEJM uses: 1000 Functional Connectomes Project uses: Integrated Jobs uses: Integrated Blogs uses: JCVI CMR uses: SciCrunch Registry uses: Neuroskeptic uses: CRCNS uses: Expression Atlas of the Marmoset uses: IXI dataset uses: Integrated Auto-Extracted Annotation uses: EU Clinical Trials Register uses: Integrated Clinical Trials uses: Human Brain Atlas uses: goCognitive uses: Law and Neuroscience uses: International Mouse Phenotyping Consortium (IMPC) uses: ClinVar uses: Integrated Gene-Disease Interaction uses: XNAT Central uses: neuroelectro uses: Integrated Nervous System Connectivity uses: Antibody Registry uses: OMIA - Online Mendelian Inheritance in Animals uses: OMIM uses: Science Podcast uses: Mouse Genome Informatics (MGI) uses: Monster uses: NCBI uses: Wired Science Blogs uses: F1000 Posters uses: Neurophilosophy uses: Comparative Toxicogenomics Database (CTD) uses: FlyBase uses: GeneReviews uses: GeneDB Pfalciparum uses: Naturally Selected uses: PomBase uses: Pseudomonas Genome Database uses: The Guardian: Science Videos uses: Orphanet uses: Dictyostelium discoideum genome database uses: PeptideAtlas uses: NeuroSynth uses: neuropathology blog uses: Genomes Unzipped uses: National Institutes of Health Research Portfolio Online Reporting Tool uses: BrainMaps.org uses: It Takes 30 uses: Gait in Parkinson's Disease uses: Physiobank uses: Gait Dynamics in Neuro-Degenerative Disease Data Base uses: American Journal of Psychiatry Podcasts uses: Neurodatabase.org uses: Brain Architecture Management System uses: RanchoBiosciences uses: ModelDB uses: CoCoMac uses: Olfactory Bulb Odor Map DataBase (OdorMapDB) uses: Gene Expression Omnibus uses: Caenorhabditis Genetics Center uses: Labome uses: Open Access Series of Imaging Studies uses: Biological General Repository for Interaction Datasets (BioGRID) uses: Olfactory Receptor DataBase uses: T1DBase uses: Gemma uses: CellML Model Repository uses: ResearchCrossroads uses: Biocompare uses: BioNOT uses: Hays uses: Research Blogging uses: Discover Magazine uses: PolygenicBlog uses: Kawasaki Disease Dataset2 uses: Allen Mouse Brain Connectivity Atlas uses: Integrated Manually Extracted Annotation uses: Roadmap Epigenomics Project uses: Integrated Cell Lines uses: National Mouse Metabolic Phenotyping Centers uses: Mendelspod uses: Integrated Snippets uses: Integrated Datasets uses: Nature Podcast uses: GWAS: Catalog of Published Genome-Wide Association Studies uses: KEGG uses: USC Multimodal Connectivity Database uses: Inside NIA: A Blog for Researchers uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: NIF Registry Automated Crawl Data uses: Genetic Analysis Software uses: anage uses: Intestinal Stem Cell Consortium uses: Animal QTLdb uses: elements of morphology uses: Human Life-Table Database uses: Clinical Genomic Database uses: NIDDK Central Repository uses: MONARCH Initiative uses: Human Phenotype Ontology is used by: SciCrunch is used by: NIDDK Information Network (dkNET) lists: AutDB lists: Drug Related Gene Database lists: Gene Ontology Tools lists: CHEBI is listed by: 3DVC is related to: International Mouse Strain Resource is related to: Internet Brain Volume Database is related to: Resource Identification Portal is related to: Rat Genome Database (RGD) is related to: VISTA Enhancer Browser is related to: NIH Human Pluripotent Stem Cell Registry is related to: Zebrafish International Resource Center is related to: Bloomington Drosophila Stock Center is related to: Journal of Comparative Neurology Antibody database has parent organization: Neuroscience Information Framework |
NIDA ; NIH Blueprint for Neuroscience Research ; U.S. Department of Health and Human Services HHSN27120080035C |
Refer to individual databases | nlx_81822 | http://neuinfo.org/nif/nifgwt.html?query=* | SCR_004834 | SciCrunch Registry | Neuroscience Information Framework Data Federation | 2026-10-17 01:32:56 | 28 | |||||
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PolymiRTS Resource Report Resource Website 100+ mentions |
PolymiRTS (RRID:SCR_003389) | PolymiRTS | data or information resource, database | Database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression. The PolymiRTS database was created by scanning 3'UTRs of mRNAs in human and mouse for SNPs and INDELs in miRNA target sites. Then, the potential downstream effects of these polymorphisms on gene expression and higher-order phenotypes are identified. Specifically, genes containing PolymiRTSs, cis-acting expression QTLs, and physiological QTLs in mouse and the results of genome-wide association studies (GWAS) of human traits and diseases are linked in the database. The PolymiRTS database also includes polymorphisms in target sites that have been supported by a variety of experimental methods and polymorphisms in miRNA seed regions. | polymorphism, microrna, human, disease, trait, snp, indel, pathway, genetic variant, gene expression, phenotype, chromosome, chromosome location, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
PhRMA Foundation ; UT Center for Integrative and Translational Genomics ; NICHD HD052472; NIAAA AA014425; NIDA DA021131; NINR NR009270; NIAID AI081050; NIAID AI019782; American Heart Association 0830134N; United States Department of Defense W81XHW-05-01-0227 |
PMID:24163105 PMID:22080514 |
Free, Available for download, Freely available | nif-0000-03324, biotools:polymirts, OMICS_00391 | https://bio.tools/polymirts | http://compbio.utmem.edu/miRSNP/ | SCR_003389 | SciCrunch Registry | Polymorphism in microRNA Target Site, PolymiRTS Database, Polymorphism in microRNAs and their TargetSites | 2026-10-17 01:33:50 | 161 | |||
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Subcellular Location Image Finder Resource Report Resource Website 1+ mentions |
Subcellular Location Image Finder (RRID:SCR_006723) | SLIF | data or information resource, database, image | SLIF finds fluorescence microscope images in on-line journal articles, and indexes them according to cell line, proteins visualized, and resolution. Images can be accessed via the SLIF Web database. SLIF takes on-line papers and scans them for figures that contain fluorescence microscope images (FMIs). Figures typically contain multiple FMIs, to SLIF must segment these images into individual FMIs. When the FMI images are extracted, annotations for the images (for instance, names of proteins and cell-lines) are also extracted from the accompanying caption text. Protein annotation are also used to link to external databases, such as the Gene Ontology DB. The more detailed process includes: segmentation of images into panels; panel classification, to find FMIs; segmentation of the caption, to find which portions of the caption apply to which panels; text-based entity extraction; matching of extracted entities to database entries; extraction of panel labels from text and figures; and alignment of the text segments to the panels. Extracted FMIs are processed to find subcellular location features (SLFs), and the resulting analyzed, annotated figures are stored in a database, which is accessible via SQL queries. | fluorescence, annotation, cell, journal, microscope, protein, subcellular, image, cell line, fluorescence microscope, information retrieval, data mining |
is listed by: Biositemaps has parent organization: Carnegie Mellon University; Pennsylvania; USA |
Commonwealth of Pennsylvania Tobacco Settlement Fund ; National Center for Integrative Biomedical Informatics ; NIGMS R01 GM078622; NIDA U54 DA021519 |
PMID:17990497 | nif-0000-10308 | SCR_006723 | SciCrunch Registry | SLIF - Subcellular Location Image Finder | 2026-10-17 01:33:05 | 1 | ||||||
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Zebrafish - SCORE Imaging: Specimen in a Corrected Optical Rotational Enclosure Resource Report Resource Website 10+ mentions |
Zebrafish - SCORE Imaging: Specimen in a Corrected Optical Rotational Enclosure (RRID:SCR_001300) | SCORE imaging | data or information resource, narrative resource | Narrative resource describing a visual data analysis and collection approach that takes advantage of the cylindrical nature of the zebrafish allowing for an efficient and effective method for image capture called, Specimen in a Corrected Optical Rotational Enclosure (SCORE) Imaging. To achieve a non-distorted image, zebrafish were placed in a fluorinated ethylene propylene (FEP) tube with a surrounding, optically corrected imaging solution: water. By similarly matching the refractive index of the housing (FEP tubing) to that of the inner liquid and outer liquid (water), distortion was markedly reduced, producing a crisp imagable specimen that is able to be fully rotated 360 degrees. A similar procedure was established for fixed zebrafish embryos using convenient, readily available borosilicate capillaries surrounded by 75% glycerol. The method described could be applied to chemical genetic screening and other, related high-throughput methods within the fish community and among other scientific fields. | format, authoring tool, embryo, microscopy, publishing format, image |
is listed by: FORCE11 has parent organization: Mayo Clinic Minnesota; Minnesota; USA has parent organization: University of Minnesota Twin Cities; Minnesota; USA |
NIGMS GM63904; NIDA DA14546 |
PMID:20528262 | nif-0000-07749 | SCR_001300 | SciCrunch Registry | Specimen in a Corrected Optical Rotational Enclosure imaging | 2026-10-17 01:34:24 | 11 | ||||||
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Substructure Index-based Approximate Graph Alignment Resource Report Resource Website 10+ mentions |
Substructure Index-based Approximate Graph Alignment (RRID:SCR_003434) | SAGA | software application, software resource | SAGA (Substructure Index-based Approximate Graph Alignment) is a tool for querying a biological graph database to retrieve matches between subgraphs of molecular interactions and biological networks. SAGA implements an efficient approximate subgraph matching algorithm that can be used for a variety of biological graph matching problems such as the pathway matching SAGA uses to compare pathways in KEGG and Reactome. You can also use SAGA to find matches in literature databases that have been parsed into semantic graphs. In this use of SAGA, portions of PubMed have been parsed into graphs that have nodes representing gene names. A link is drawn between two genes if they are discussed in the same sentence (indicating there is potential association between the two genes). SAGA lets you match graphs between different databases even though the content is distinct and the databases organize pathways in different ways. This cross-database matching is achieved by SAGA's flexible approximate subgraph matching model that computes graph similarity, and allows for node gaps, node mismatches, and graph structural differences. Comparing pathways from different databases can be a useful precursor to pathway data integration. SAGA is very efficient for querying relatively small graphs, but becomes prohibitory expensive for querying large graphs. Large graph data sets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of information encoded in graphs, effective and efficient graph matching tools are critical. Due to the noisy and incomplete nature of real graph datasets, approximate, rather than exact, graph matching is required. Furthermore, many modern applications need to query large graphs, each of which has hundreds to thousands of nodes and edges. TALE is an approximate subgraph matching tool for matching graph queries with a large number of nodes and edges. TALE employs a novel indexing technique that achieves a high pruning power and scales linearly with the database size. | gene, algorithm, alignment, biological, graph, interaction, literature, molecular, pathway, query, reactome, structural, subgraph, substructure, tool, graph similarity |
is listed by: Biositemaps has parent organization: National Center for Integrative Biomedical Informatics has parent organization: University of Michigan; Ann Arbor; USA |
Microsoft ; NIDA 1-U54-DA021519-01A1 |
PMID:17110368 | Access free via the web; Binaries are also freely available. If you use SAGA for any work that leads to a publication you must cite paper. | nif-0000-33157 | SCR_003434 | SciCrunch Registry | SAGA (Substructure Index-based Approximate Graph Alignment), SAGA - Substructure Index-based Approximate Graph Alignment, SAGA: A Fast and Flexible Graph Matching Tool | 2026-10-17 01:34:27 | 24 | |||||
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Pediatric Imaging Neurocognition and Genetics Resource Report Resource Website 50+ mentions |
Pediatric Imaging Neurocognition and Genetics (RRID:SCR_008953) | PING | data or information resource, database | A large multi-site pediatric MRI and genetics data resource to facilitate studies of the genomic landscape of the developing human brain. It includes information about the developing mental and emotional functions of the children to understand the genetic basis of individual differences in brain structure and connectivity, cognition, and personality. Investigators on the project are studying 1400 children between the ages of 3 and 20 years so that links between genetic variation and developing patterns of brain connectivity can be examined. Investigators interested in the effects of a particular gene will be able to search the database for any brain areas or connections between areas that differ as a function of variation in a particular gene, and also to determine if the genes appear to affect the course of brain development at some point during childhood. A data exploration tool has been created for mapping and analyzing MRI data sets collected for PING and related developmental studies. Approved investigators will be able to view raw image sets and derived 3D brain maps of MRI and DTI data, conduct hypothesis testing, and graph brain area measures as they change across the time course of development. PING Cores * Coordinating Core: Functions include project management, screening of participants and maintaining the database * Neuroimaging Core: applying a standardized high-resolution structural MRI protocol involving 3-D T1-weighted scans, a T2-weighted volume, and a set of diffusion-weighted scans with multiple b values and diffusion directions, scans to estimate MRI relaxation rates, and gradient echo EPI scans for resting state fMRI. Importantly, adaptive motion compensation, using ����??PROMO����??, a novel real-time motion correction algorithm will be used. Specific PING protocols for each scanner manufacturer: ** PING MRI Protocol - GE ** PING MRI Protocol - Philips ** PING MRI Protocol - Siemens * Assessment Core: Cognitive assessments for the PING project are conducted using the NIH Toolbox for Cognition. * Genomics Core: functions as a central repository for receipt of saliva samples collected for each study participant. Once received, samples are catalogued, maintained, and DNA is extracted using state-of-the-field laboratory techniques. Ultimately, genome-wide genotyping is performed on the extracted DNA using the Illumina Human660W-Quad BeadChip. PING involves 10 sites throughout the country including UCSD, University of Hawaii, Scripps Genomics, UCLA, UC Davis, Kennedy Krieger Institute/Johns Hopkins, Sacker Institute/Cornell University, University of Massachusetts, Massachusetts General Hospital/Harvard, and Yale. Families who may want to participate in the study, or others who want to know more about it, may email questions to ping (at) ucsd.edu. | pediatric, neuroimaging, genetics, child, early adult human, adolescent, genetic variant, magnetic resonance imaging, brain, gene, brain structure, connectivity, function, brain development, cognition, experimental protocol, saliva, dna, diffusion tensor imaging, image, genotype, dicom, imaging genomics, magnetic resonance, nifti, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIH Toolbox - Assessment of Neurological and Behavioral Function has parent organization: University of California at San Diego; California; USA has parent organization: Multimodal Imaging Laboratory |
NIDA ; ARRA ; NICHD |
Data Use Agreement required. | nlx_151904 | http://www.nitrc.org/projects/ping | http://ping.chd.ucsd.edu/ | SCR_008953 | SciCrunch Registry | PING Study, Pediatric Imaging Neurocognition and Genetics (PING) | 2026-10-17 01:34:51 | 80 | ||||
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OKCAM: Ontology-based Knowledgebase for Cell Adhesion Molecules Resource Report Resource Website |
OKCAM: Ontology-based Knowledgebase for Cell Adhesion Molecules (RRID:SCR_010696) | OKCAM | data or information resource, database, knowledgebase | OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families. Totally 496 human CAM genes were compiled and annotated. We have mapped these genes onto a novel cell adhesion molecule ontology (CAMO) that provides a hierarchical description of cell adhesion molecules and their functions. It is intended to provide a means to facilitate better and better understanding of the global and specific properties of CAMs through their genomic features, regulatory modes, expression patterns and disease associations become clearer. You may browse by CAM ontology, Chromosomes and Full Gene list. | cell adhesion molecule, gene, cell adhesion, molecule, cadherin, immunoglobulin, fibronectiniii, integrin, neurexin, neuroligin, catenin, chromosome |
has parent organization: Peking University; Beijing; China is parent organization of: CAMO - Cell Adhesion Molecule Ontology |
China Scholarship Council ; NCI P50CA/DA84718; NIDA P50CA/DA84718; China National High-tech 863 Programs 2006AA02A312; China National High-tech 863 Programs 2006AA02Z334; China National High-tech 973 Programs 2007CB946904 |
PMID:18790807 | nlx_81469 | SCR_010696 | SciCrunch Registry | OKCAM: Ontology-based Knowledgebase for Human Cell Adhesion Molecules | 2026-10-17 01:34:59 | 0 | ||||||
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Zebrafish Neurophenome Project Database Resource Report Resource Website 1+ mentions |
Zebrafish Neurophenome Project Database (RRID:SCR_004482) | ZNP | data or information resource, data repository, data set, service resource, storage service resource | Database of neurobehavioral and physiological data of adult zebrafish models, complementing the available repositories for zebrafish genetic information, by providing a dynamic, open-access data repository of comprehensive, curated collection of results from zebrafish neurobehavioral experiments. As of May 2012, it contains over 4,500 experimental results, from over 75 unique physiological and behavioral tests and 330 different drug treatments. ZNP incorporates validated and curated data from work published in this field, to improve the accessibility of current knowledge to researchers interested in using adult zebrafish models. Overall, this program will allow investigators to rapidly review data, to direct their research using these models. Data and protocol submissions are now being accepted. | zebrafish, behavior, pharmacology, psychopharmacology, drug, adult zebrafish, phenotype, model, neurobehavior, physiology |
is listed by: 3DVC has parent organization: Tulane University School of Medicine; Louisiana; USA has parent organization: Zebrafish Neuroscience Research Consortium |
Tulane University; Louisiana; USA ; NIDA DA030900-02 |
PMID:22171801 | Open-access, Please cite | nlx_143762 | http://www.tulane.edu/%E2%88%BCznpindex/search | SCR_004482 | SciCrunch Registry | ZNPdb, Zebrafish Neurophenome Project, ZNP Database, Zebrafish Neurophenome Database | 2026-10-17 01:31:10 | 2 | ||||
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FINDTHECAT Resource Report Resource Website 1+ mentions |
FINDTHECAT (RRID:SCR_016036) | software application, software resource | Software that conducts a jspsych test for response time evaluation. Used in the ABCD Study. | psych, jspsych, psychology, response, time, evaluation, task, test, abcd, adolescent | NIDA U24 DA041123 | Free, Available for download | SCR_016036 | SciCrunch Registry | 2026-10-17 01:34:20 | 1 | ||||||||||
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stroop-task Resource Report Resource Website 1+ mentions |
stroop-task (RRID:SCR_016033) | software application, software resource | Software that conducts the Stroop Color Task. Used in the ABCD Study. | stroop, task, color, vision, abcd, adolesence, study | NIDA U24 DA041123 | Free, Available for download | SCR_016033 | SciCrunch Registry | 2026-10-17 01:36:01 | 1 | ||||||||||
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DeepNeuro Resource Report Resource Website 1+ mentions |
DeepNeuro (RRID:SCR_016911) | software resource, software toolkit | Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners. | Design and train neural network architectures, medical imaging, neuroimaging data, neuroimaging |
uses: Python Programming Language is related to: Massachusetts General Hospital has parent organization: Harvard University; Cambridge; United States |
NCI U01 CA154601; NCI U24 CA180918; NCI U24 CA180927; NIBIB P41 EB015896; NIBIB T32 EB1680; NIBI ; NIDA R90 DA023427; NIDA T90 DA022759; NIH Blueprint for Neuroscience Research |
PMID:32578020 | Free, Available for download, Freely available | SCR_016911 | SciCrunch Registry | 2026-10-17 01:34:21 | 2 | ||||||||
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National Institute on Drug Abuse Center for Genetic Studies Resource Report Resource Website 1+ mentions |
National Institute on Drug Abuse Center for Genetic Studies (RRID:SCR_013061) | NIDA Center for Genetic Studies | data or information resource, data repository, data set, service resource, storage service resource | Site for collection and distribution of clinical data related to genetic analysis of drug abuse phenotypes. Anonymous data on family structure, age, sex, clinical status, and diagnosis, DNA samples and cell line cultures, and data derived from genotyping and other genetic analyses of these clinical data and biomaterials, are distributed to qualified researchers studying genetics of mental disorders and other complex diseases at recognized biomedical research facilities. Phenotypic and Genetic data will be made available to general public on release dates through distribution mechanisms specified on website. | drug abuse, family, family structure, genetic analysis, genetics, addiction, age, biomaterial, cell line, citation, clinical, clinical status, data, diagnosis, dna, genotyping, human, mental disorder, mutation analysis, phenotype, publications, sex, clinical data, genotype, gene, GWAS |
is recommended by: National Library of Medicine is listed by: One Mind Biospecimen Bank Listing is related to: One Mind Biospecimen Bank Listing is related to: NIH Data Sharing Repositories has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA has parent organization: Rutgers University; New Jersey; USA |
NIDA ; NIH Blueprint for Neuroscience Research |
Free, Freely available | nif-0000-00181 | https://zork5.wustl.edu//nida/ | http://zork.wustl.edu/nida/ | SCR_013061 | SciCrunch Registry | National Institute of Drug Abuse (NIDA) Human Genetics Initiative, NIDA Center for Genetic Studies | 2026-10-17 01:31:12 | 7 | ||||
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numerical-fitting Resource Report Resource Website |
numerical-fitting (RRID:SCR_016025) | software library, software resource, software toolkit | Software for a numerical computation library that performs numerical calculations. Used in ABCD study. | numerical, computation, library, calculation, performing, client, side, javascript, js, abcd |
is related to: University of California at San Diego; California; USA works with: ABCD Study |
NIDA U24 DA041123 | Free, Available for download | SCR_016025 | SciCrunch Registry | 2026-10-17 01:31:38 | 0 | |||||||||
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pMAT Resource Report Resource Website 1+ mentions |
pMAT (RRID:SCR_022570) | pMAT | data analysis software, data processing software, software application, software resource | Open source software suite for analysis of fiber photometry data. | fiber photometry data analysis, fiber photometry | NIDA DA043572 | PMID:33385438 | SCR_022570 | SciCrunch Registry | Photometry Modular Analysis Tool | 2026-10-17 01:31:24 | 8 | ||||||||
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CloudReg Resource Report Resource Website |
CloudReg (RRID:SCR_022795) | data processing software, image analysis software, software application, software resource | Software automated, terascale, cloud based image analysis pipeline for preprocessing and cross modal, nonlinear registration between volumetric datasets with artifacts. Automatic terabyte scale cross modal brain volume registration. | brain volume, nonlinear registration, automatic terabyte scale, cross modal brain volume registration, image analysis pipeline, volumetric datasets with artifacts | is used by: BICCN | AP Giannini Foundation ; Johns Hopkins University Kavli Neuroscience Discovery Institute Postdoctoral Fellowship ; Karen Toffler Charitable Trust ; Kavli Neuroscience Discovery Institute ; Microsoft Research ; NIA P01AG009973; NIA R01 AG066184; NIDA 1K99DA050662; NIMH K08MH113039; NIMH R01 MH099647; NIMH U19MH114821; NINDS K99 NS116122; NSF EEC 1707298 |
PMID:34253927 | Free, Available for download, Freely available | https://github.com/neurodata/CloudReg/ | SCR_022795 | SciCrunch Registry | 2026-10-17 01:32:13 | 0 | |||||||
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BRAIN Initiative Cell Atlas Network Resource Report Resource Website 10+ mentions |
BRAIN Initiative Cell Atlas Network (RRID:SCR_022794) | BICAN | data or information resource, portal | Provides molecular and anatomical foundational framework for study of brain function and disorders.Comprehensive Center on Human and Non-Human Primate Brain Cell Atlases with goal to build reference brain cell atlases that will be used throughout research community. | Cell Atlas Network, study of brain function and disorders, build reference brain cell atlases |
uses: NIH NeuroBioBank uses: NeMOarchive uses: Terra uses: Brain Image Library uses: SpinalJ uses: Cell Annotation Platform uses: Connectome Workbench uses: BALSA uses: Cytosplore Viewer uses: Cellarium is related to: BICCN is related to: Brain Cell Data Viewer is related to: CZ CELLxGENE Discover is related to: CATlas is related to: Epi-Retro-Seq is related to: NeMO Analytics is related to: UCSC Cell Browser is related to: MetaMarkers is related to: Brain Knowledge Platform is related to: Human Brain Variation Project is related to: BRAIN Connects has parent organization: Allen Institute has parent organization: Allen Institute for Brain Science works with: New York Genome Center Sequencing Core Facility has organization facet: Slide-seq Pipeline has organization facet: ATAC Pipeline has organization facet: Multiome Pipeline has organization facet: Whole Mouse Brain Cell and Genome Atlas has organization facet: snm3C Pipeline has organization facet: Paired-Tag Pipeline has organization facet: NIMP: Neuroanatomy-anchored Information Management Platform for Collaborative BICAN Data Generation has organization facet: NHash Identifier has organization facet: Atlas Ontology Model has organization facet: Allen Brain Map BICCN Data Catalog has organization facet: Atlas Ontology Model has organization facet: Early Postnatal Developmental Mouse Brain Atlas has organization facet: BRAINCELL-AID has organization facet: JOSA has organization facet: Annotation Comparison Explorer has organization facet: Brain Image Library has organization facet: DELAY has organization facet: chromograph has organization facet: fetal_brain_multiomics has organization facet: CBI BrAinPI has organization facet: bkbit has organization facet: BuildIndices has organization facet: HOMBA Macaque Reference Atlas has organization facet: HMBA Adult Marmoset Atlas has organization facet: SlideTags.wdl has organization facet: storm-control has organization facet: PIANO:Probabilistic Inference Autoencoder Networks for multi-Omics has organization facet: BICAN Basal Ganglia Epigenome Explorer has organization facet: Brain Initiative Cell Atlas Network Data Catalog has organization facet: BrainKB has organization facet: CrossExpression has organization facet: bican-mccarroll-manuscript1 has organization facet: HMBA Adult Human Brain Atlas has organization facet: Harmonized Ontology of Mammalian Brain Anatomy (HOMBA) has organization facet: NIMP Analytics has organization facet: Human Striatum Slide-tags Viewer has organization facet: Single Cell Multi-Omics Data Analysis Portal has organization facet: HMBA Adult Rhesus Macaque Brain Atlas has organization facet: HMBA Adult Cynomolgus Macaque Brain Atlas has organization facet: Deep SSR has organization facet: HMBA Adult Marmoset Atlas has organization facet: Macaque D99 Atlas has organization facet: SCALPEL has organization facet: Human and Mammalian Brain Atlas: Basal Ganglia |
NIA AG060909; NIDA 75N95023D00006; NIH MH130918; NIMH MH130918; NIMH MH130919; NIMH MH130962; NIMH MH130968; NIMH MH134812; NIMH R01MH134799; NIMH R01MH134800; NIMH R01MH134809; NIMH R01MH134833; NIMH U01MH130995; NIMH U24MH130988; NIMH UM1MH130966; NIMH UM1MH130991; NIMH UM1MH130994; NINDS NS133077; NINDS NS146314 |
Free, Freely available | https://www.braininitiative.org/funding-opportunity/brain-initiative-cell-atlas-network-bican-comprehensive-center-on-human-and-non-human-primate-brain-cell-atlases-um1-clinical-trial-not-allowed/, https://braininitiative.nih.gov/funding-opportunies/brain-initiative-cell-atlas-network-bican-specialized-collaboratory-human-non | SCR_022794 | SciCrunch Registry | 2026-10-17 01:32:39 | 33 | |||||||
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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 | SciCrunch Registry | NeuroPedia: Neuropeptide database and spectra library | 2026-10-17 01:32:29 | 12 | |||||
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JAX Animal Behavior System Resource Report Resource Website 1+ mentions |
JAX Animal Behavior System (RRID:SCR_023721) | JABS | software resource | Video based phenotyping platform for laboratory mouse. Provides complete details of software and hardware, including 3D designs used for data collection. Data acquisition system consists of video collection hardware and software, behavior labeling and active learning app, and online database for sharing classifiers. Hardware and software solution collects high quality data for behavior analysis. | OpenBehavior, data acquisition system, integrated mouse phenotyping platform, behavior analysis, | is listed by: OpenBehavior | Jackson Laboratory Directors Innovation Fund ; NIDA DA041668; NIDA DA048634 |
DOI:10.1101/2022.01.13.476229 | Free, Available for download, Freely available | SCR_023721 | SciCrunch Registry | 2026-10-17 01:32:37 | 1 | |||||||
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Integrated Auto-Extracted Annotation Resource Report Resource Website |
Integrated Auto-Extracted Annotation (RRID:SCR_005892) | Integrated AEA, Auto-Extracted Annotation | data or information resource, data set | A virtual database that indexes both BioNOT for negation data, and the Resource Discovery Pipeline: an automated resource discovery and semi-automated type characterization with text-mining scripts that facilitate curation team efforts to discover, integrate and display new content. This virtual database currently indexes the following resources: * BioNOT, http://snake.ims.uwm.edu/bionot/index.php?searchterm=mecp2+autism&submit=Search * Resource Discovery Pipeline, http://lucene1.neuinfo.org/nif_resource/current/ | annotation, negative data |
is used by: NIF Data Federation is related to: BioNOT is related to: NIF Registry Automated Crawl Data is related to: PubMed has parent organization: Integrated |
NIH Blueprint for Neuroscience Research ; NIDA Contract HHSN271200577531C |
PMID:22434839 | Data are licensed by their respective owners. Use and distribution is subject to the Terms of Use by the original resource as well as the, Creative Commons Attribution License | nlx_149462 | http://neuinfo.org/nif/nifgwt.html?query=nlx_149462 | SCR_005892 | SciCrunch Registry | NIF Integrated Automatically Extracted Annotation, NIF Integrated Auto. Extracted Annotation, NIF Integrated Auto-Extracted Annotation, Integrated Automatically Extracted Annotation, Integrated Auto Extracted Annotation, NIF Auto-Extracted Annotation | 2026-10-17 01:34:50 | 0 | ||||
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MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data or information resource, data set | An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease. | fmri, functional connectivity, resting-state, independent component analysis, connectome, adolescent, adult, mri, resting state network, connectivity, dataset | has parent organization: MIALAB - Medical Image Analysis Lab | Aging | NRC Bilatgrunn ; NIBIB 1R01-EB006841; NIBIB 1R01- EB005846; NIBIB 2R01-EB000840; NIBIB 1 P20 RR021938-01; DOE DE-FG02-08ER64581; NIMH 1R01-MH072681-01; John Templeton Foundation grant 12456; NIAAA 1P20 AA017068; NINDSR21NS064464 ; NIDA1 R03 DA022435-01A1 ; NIDA1 R03 DA024212-01A1 ; NIDA KO1-DA021632-02 |
PMID:21442040 | nlx_151552 | SCR_008914 | SciCrunch Registry | Medical Image Analysis Laboratory - Resting State Data, MIA Laboratory - Resting State Data, Medical Image Analysis Lab - Resting State Data, Medical Image Analysis (MIA) Laboratory - Resting State Data | 2026-10-17 01:36:33 | 10 |
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