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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Chronux Resource Report Resource Website 500+ mentions |
Chronux (RRID:SCR_005547) | Chronux | data analysis software, data processing software, software application, software resource | Open-source software package for the analysis of neural data. Chronux routines may be employed in the analysis of both point process and continuous data, ranging from preprocessing, exploratory and confirmatory analysis. The current release is implemented as a MATLAB library. Chronux offers several routines for computing spectra and coherences for both point and continuous processes. In addition, it also offers several general purpose routines that were found useful such as a routine for extracting specified segments from data, or binning spike time data with bins of a specified size. Since the data can be continuous valued, point process times, or point processes that are binned, methods that apply to all these data types are given in routines whose names end with ''''c'''' for continuous, ''''pb'''' for binned point processes, and ''''pt'''' for point process times. Thus, mtspectrumc computes the spectrum of continuous data, mtspectrumpb computes a spectrum for binned point processes, and mtspectrumpt compute spectra for data consisting of point process times. Hybrid routines are also available and similarly named - for instance coherencycpb computes the coherency between continuous and binned point process data. | fmri, brain mapping, brain, matlab |
is related to: Zebra Finch Song Learning Consortium has parent organization: Cold Spring Harbor Laboratory |
NIMH | Open-source. Please cite. | nif-0000-00082 | SCR_005547 | Chronux Analysis Software | 2026-09-12 01:00:11 | 571 | ||||||
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NIMH Brain Tissue Collection Resource Report Resource Website 1+ mentions |
NIMH Brain Tissue Collection (RRID:SCR_008726) | NIMH Brain Bank | biomaterial supply resource, brain bank, material resource, tissue bank | A collection of brain tissue from individuals suffering from schizophrenia, bipolar disorder, depression, anxiety disorders, and substance abuse, as well as healthy individuals. The research mission of the NIMH Brain Bank is to better understand the underlying biological mechanisms and pathways that contribute to schizophrenia and other neuropsychiatric disorders, as well as to study normal human brain development. | schizophrenia, bipolar disorder, depressive disorder, anxiety disorder, substance abuse, healthy, neurological disorder, mental disease, suicide, tourette's syndrome, dementia, brain development, brain, brain tissue, tissue, post-mortem, normal control, ClinicalTrials.gov Identifier: NCT00001260 |
is listed by: One Mind Biospecimen Bank Listing has parent organization: NIMH Intramural Research Program Clinical Brain Disorders Branch |
Schizophrenia, Bipolar Disorder, Depressiive Disorder, Anxiety Disorder, Drug Abuse, Healthy, Neurological disorder, Mental disease, Suicide, Tourette's Syndrome, Dementia, Normal control, Aging | NIMH | Samples available to investigators approved by an NIMH Oversight Committee, Molecular and genetic data available to the scientific community | nlx_143684 | http://cbdb.nimh.nih.gov/neuropath.htm | SCR_008726 | 2026-09-12 01:00:14 | 1 | |||||
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lapdftext Resource Report Resource Website |
lapdftext (RRID:SCR_006167) | lapdftext, LA-PDFText, | software application, software resource, text extraction software | Software that facilitates accurate extraction of text from PDF files of research articles for use in text mining applications. It is intended for both scientists and natural language processing (NLP) engineers interested in getting access to text within specific sections of research articles. The system extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles. The current version of LA-PDFText is a baseline system that extracts text using a three-stage process: * identification of blocks of contiguous text * classification of these blocks into rhetorical categories * extraction of the text from blocks grouped section-wise. | text mining, pdf, text extraction, natural language processing |
is listed by: FORCE11 has parent organization: University of Southern California; Los Angeles; USA |
NSF 0849977; NIGMS RO1-GM083871; NIMH 1R01MH079068-01A2; NCRR U24 RR025736-01 |
PMID:22640904 | Acknowledgement requested, GNU General Public License, v3 | nlx_151668 | SCR_006167 | Layout-Aware PDF Text Extraction, Layout-Aware Text Extraction from Full-text PDF of Scientific Articles, lapdftext: Layout-Aware Text Extraction from Full-text PDF of Scientific Articles | 2026-09-12 01:01:41 | 0 | |||||
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Mouse Brain Atlases Resource Report Resource Website 1+ mentions |
Mouse Brain Atlases (RRID:SCR_007127) | Mouse Brain Atlases | atlas, data or information resource | High-resolution electronic atlases for mouse strains c57bl/6j, a/j, and dba/2j in either coronal or horizontal section. About this Atlas: The anterior-posterior coordinates are taken from an excellent print atlas of a C57BL/6J brain by K. Franklin and G. Paxinos (The Mouse Brain in Stereotaxic Coordinates, Academic Press, San Diego, 1997, ISBN Number 0-12-26607-6; Library of Congress: QL937.F72). The abbreviations we have used to label the sections conform to those in the Franklin-Paxinos atlas. A C57BL/6J mouse brain may contain as many as 75 million neurons, 23 million glial cells, 7 million endothelial cells associated with blood vessels, and 3 to 4 million miscellaneous pial, ependymal, and choroid plexus cells (see data analysis in Williams, 2000). We have not yet counted total cell number in DBA/2J mice, but the counts are probably appreciably lower.The brain and sections were all processed as described in our methods section. The enlarged images have a pixel count of 1865 x 1400 and the resolution is 4.5 microns/pixel for the processed sections.Plans: In the next several years we hope to add several additional atlases of the same sort for other strains of mice. A horizontal C57BL/6J atlas and a DBA/2J coronal atlas were completed by Tony Capra, summer 2000, and additional atlases may be made over the next several years. As describe in the MBL Procedures Section is not hard to make your own strain-specific atlas from the high resolution images in the MBL. | genetics, anatomy, coronal, cerebellum, c57bl/6j, dba/2j, a/j, horizontal, morphology, subcortical, volume | has parent organization: Mouse Brain Library | Human Brain Project ; NIDA ; NSF ; NIMH P20-MH 62009 |
nif-0000-00044 | SCR_007127 | 2026-09-12 01:01:45 | 7 | ||||||||
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Add Health (National Longitudinal Study of Adolescent Health) Resource Report Resource Website 10+ mentions |
Add Health (National Longitudinal Study of Adolescent Health) (RRID:SCR_007434) | Add Health | data or information resource, database | Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database. | adolescent, longitudinal, adult human, interview, social, behavior, health, early adult human, FASEB list | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Aging | NICHD ; NCI ; CDC ; NIAID ; NIMHD ; NIDCD ; NIGMS ; NIMH ; NINR ; NIA ; NIAAA ; NIDA ; NSF ; NIH ; Department of Health and Human Services ; MacArthur Foundation ; Robert Wood Johnson Foundation |
Restricted use | nif-0000-00621 | SCR_007434 | National Longitudinal Study of Adolescent Health | 2026-09-12 01:01:47 | 37 | |||||
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Cell Properties Database Resource Report Resource Website |
Cell Properties Database (RRID:SCR_007285) | CellPropDB | data or information resource, database | A repository for data regarding membrane channels, receptor and neurotransmitters that are expressed in specific types of cells. The database is presently focused on neurons but will eventually include other cell types, such as glia, muscle, and gland cells. This resource is intended to: * Serve as a repository for data on gene products expressed in different brain regions * Support research on cellular properties in the nervous system * Provide a gateway for entering data into the cannonical neuron forms in NeuronDB * Identify receptors across neuron types to aid in drug development * Serve as a first step toward a functional genomics of nerve cells * Serve as a teaching aid | genetics, cellular, molecular, cerebellum, cortex, human, ion channel, mouse, olfactory, invertebrate, mammalian, physiology, rat, receptor, cat, molecular neuroanatomy resource | has parent organization: Yale University; Connecticut; USA | Aging | Multidisciplinary University Research Initiative ; NIMH ; NIA ; NICD ; NINDS ; NIDCD RO1 DC 009977 |
nif-0000-00055 | http://senselab.med.yale.edu/senselab/cellpropdb | SCR_007285 | Cellular Properties Database | 2026-09-12 01:01:46 | 0 | |||||
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Open Regulatory Annotation Database Resource Report Resource Website 50+ mentions |
Open Regulatory Annotation Database (RRID:SCR_007835) | ORegAnno | data or information resource, database | Open source, open access database and literature curation system for community based annotation of experimentally identified DNA regulatory regions, transcription factor binding sites and regulatory variants. Automatically cross referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, eVOC: Cell type ontology, and Taxonomy database. Community driven resource for curated regulatory annotation. | Collection, annotation, curated, experimentally, identified, DNA, regulatory, region, element, transcript, factor, binding, site, regulatory, variant, data, FASEB list |
has parent organization: University of Manchester; Manchester; United Kingdom works with: PubMed works with: Entrez Gene works with: Ensembl works with: dbSNP |
American Cancer Society ; BioSapiens Network of Excellence ; British Columbia Cancer Foundation ; Canadian Institutes of Health Research ; Edward Mallinckrodt ; Jr. Foundation ; European Molecular Biology Laboratory ; European Network of Excellence ; Genome British Columbia ; Genome Canada ; Marie Curie Early Stage Research Training Fellowship ; Michael Smith Foundation for Health Research ; Natural Sciences and Engineering Research Council ; NCI K22 CA188163; NHGRI K99 HG007940; NHGRI R01 HG008150; NIMH R01 MH101814; Pleiades Promoter Project ; Research Foundation – Flanders ; Swedish Research Council |
PMID:18006570 PMID:26578589 |
Free, Freely available | nif-0000-03223, r3d100010656 | http://www.oreganno.org/, https://doi.org/10.17616/R3DG70 | SCR_007835 | Open REGulatory ANNOtation, ORegAnno 3.0 | 2026-09-12 01:01:53 | 88 | ||||
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ARGON Resource Report Resource Website 1+ mentions |
ARGON (RRID:SCR_021635) | simulation software, software application, software resource | Software tool as fast simulator of genetic data that samples from Discrete Time Wright Fisher process backwards in time. Used to simulate long chromosomes and large samples under DTWF, with computational time comparable to recent coalescent simulators. | DTWF, genetic data simulator, discrete time Wright Fisher, process backwards in time, large samples simulation, long chromosomes simulation, discrete time Wright Fisher, coalescent simulation | has parent organization: University of Oxford; Oxford; United Kingdom | NIMH R01 MH101244 | PMID:27312410 | Free, Available for download, Freely available | https://github.com/pierpal/ARGON | SCR_021635 | 2026-09-12 12:59:59 | 1 | |||||||
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NIMH/SNIDD Tracer Database Initiative Resource Report Resource Website 1+ mentions |
NIMH/SNIDD Tracer Database Initiative (RRID:SCR_008105) | data or information resource, database | A database of imaging probes useful for preclinical and clinical studies. The National Institute of Mental Health (NIMH) and the Society for Non-Invasive Imaging in Drug Development (SNIDD) are in the process of creating a centralized, searchable PET, SPECT, and MRI tracer database as a resource for the scientific community. The goal of this effort is to promote the use of imaging probes in preclinical and clinical research and in drug discovery to accelerate the identification and validation of novel targets for therapeutic intervention in human diseases, especially those with central nervous system components. NIMH will maintain the tracer database as part of the Psychoactive Drug Screening Program (PDSP). The database will contain records for each radiotracer with relevant information such as target, research uses, pharmacology, pharmacokinetics, synthesis protocols, toxicology and safety data, dosimetry, other clinical data, IND info, permission to cross-reference pharmacology, toxicology, or safety data in a drug master file (if an IND exists), contact information, patent, etc. with appropriate safeguards in place to protect the intellectual property of proprietary compounds. | magnetic resonance imaging assay, contrast agent | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | NIMH HHSN-271-2008-00025-C | nif-0000-12297 | SCR_008105 | SNIDD | 2026-09-12 01:01:57 | 8 | ||||||||
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NIMH Director's Blog Resource Report Resource Website |
NIMH Director's Blog (RRID:SCR_008841) | blog, data or information resource, narrative resource | Blog by the NIMH Director, Thomas R. Insel, M.D. Users may sort posts by topic and/or subsribe to the RSS Feed, http://www.nimh.nih.gov/site-info/feed-directors-blog.atom | attention deficit-hyperactivity disorder, autism, bipolar disorder, borderline personality disorder, depression, depressive disorder, eating disorder, obsessive-compulsive disorder, post-traumatic stress disorder, schizophrenia, woman, mental health, child, adolescent, research, military, trauma, diversity, ethnicity, genetics, aids, hiv, imaging, medication, suicide, treatment, human, anxiety disorder, prevention | has parent organization: National Institute of Mental Health | NIMH | nlx_146220 | SCR_008841 | National Institute of Mental Health Directors Blog, National Institute of Mental Health Director's Blog, NIMH Directors Blog | 2026-09-12 01:02:01 | 0 | ||||||||
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Resource for Genetic Epidemiology Research on Adult Health and Aging Resource Report Resource Website 1+ mentions |
Resource for Genetic Epidemiology Research on Adult Health and Aging (RRID:SCR_010472) | GERA | data or information resource, database | Human genetics data from an immense (78,000) and ethnically diverse population available for secondary analysis to qualified researchers through the database of Genotypes and Phenotypes (dbGaP). It offers the opportunity to identify potential genetic risks and influences on a broad range of health conditions, particularly those related to aging. The GERA cohort is part of the Research Program on Genes, Environment, and Health (RPGEH), which includes more than 430,000 adult members of the Kaiser Permanente Northern California system. Data from this larger cohort include electronic medical records, behavioral and demographic information from surveys, and saliva samples from 200,000 participants obtained with informed consent for genomic and other analyses. The RPGEH database was made possible largely through early support from the Robert Wood Johnson Foundation to accelerate such health research. The genetic information in the GERA cohort translates into more than 55 billion bits of genetic data. Using newly developed techniques, the researchers conducted genome-wide scans to rapidly identify single nucleotide polymorphisms (SNPs) in the genomes of the people in the GERA cohort. These data will form the basis of genome-wide association studies (GWAS) that can look at hundreds of thousands to millions of SNPs at the same time. The RPGEH then combined the genetic data with information derived from Kaiser Permanente''s comprehensive longitudinal electronic medical records, as well as extensive survey data on participants'' health habits and backgrounds, providing researchers with an unparalleled research resource. As information is added to the Kaiser-UCSF database, the dbGaP database will also be updated. | genotype, phenotype, genome-wide association study, saliva, dna, male, female, health condition, electronic medical record, single nucleotide polymorphism, adult human, late adult human, gene, genome |
has parent organization: NCBI database of Genotypes and Phenotypes (dbGap) has parent organization: University of California at San Francisco; California; USA |
Aging, Cardiovascular disease, Osteoarthritis, Depressive Disorder, Insomnia, Eye disease, Cancer, Diabetes | NIMH ; NIH Office of the Director ; NIA AG036607 |
Application required, Non-commercial, Data Use Certification Agreement | nlx_157735 | SCR_010472 | Genetic Epidemiology Research on Aging | 2026-09-12 01:02:03 | 9 | |||||
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FMRLAB Resource Report Resource Website 1+ mentions |
FMRLAB (RRID:SCR_005164) | FMRLAB | data processing software, software application, software resource | A Matlab toolbox for fMRI data analysis using Independent Component Analysis (ICA). It provides an integrated environment to manage, process and analyze fMRI data in a single framework so that users can complete the analysis without switching between software. In addition, it provides an interactive Matlab graphic user interface (GUI). All the necessary processes to apply ICA to fMRI data and review its results can be run from the graphic interface. The FMRLAB processing flow is straightforward. Custom analyses can be performed with Matlab scripts using the FMRLAB functions and data structure. Since fMRI data analysis is a complex enterprise, including digital image processing, statistical analysis and data visualization, an integrated framework combining processing elements is desired eagerly by users in the neuroimaging community. Recently, large number of software tools for data analysis and visualization have been developed for this purpose. However, most of these tools use model-based statistical methods which assume that the users know the hemodynamic response (HR) for their paradigm in advance and can specify a reasonable HR model. Often, however, accurate or reasonable response HR models are unavailable. An alternative data-driven method, infomax ICA (McKeown et al., 1998), does not require that an a priori HR model, instead deriving HRs of spatially independent components of the entire data set from the higher-order statistics of the data themselves. FMRLAB is a toolbox running under Matlab containing necessary components for data-driven fMRI data analysis using the highly reliable infomax ICA algorithm (Bell & Sejnowski, 1995), normalized (Amari, 1999), extended (Lee, Girolami and Sejnowski, 1999) and automated by Makeig et al. FMRLAB has been developed under Matlab 6.1 running on Red Hat Linux. FMRLAB Features * Graphic user interface * Flexible data importing * Interactive data plotting * Computationally efficient * Defined FMRI data structure * Independent component browser * Smooth, transparent component exporting and spatial normalization process * Interface with other software for further analysis or visualization. * SPM-style component plots (MIP, 2-D slice overlay and 3-D) | fmri, fmr lab, anatomy, brain mapping, data analysis, independent component analysis, neuroimaging, image processing, statistical analysis, data visualization, matlab |
is related to: FreeSurfer has parent organization: Swartz Center for Computational Neuroscience |
NIMH 5RO1MHO61619-03 | nif-0000-00077 | SCR_005164 | 2026-09-12 01:00:55 | 3 | ||||||||
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NeuroSynth Resource Report Resource Website 1000+ mentions |
NeuroSynth (RRID:SCR_006798) | Neurosynth | data or information resource, database, software resource, source code | Platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. It''s a website wrapped around a set of open-source Python and JavaScript packages. Neurosynth lets you run crude but useful analyses of fMRI data on a very large scale. You can: * Interactively visualize the results of over 3,000 term-based meta-analyses * Select specific locations in the human brain and view associated terms * Browse through the nearly 10,000 studies in the database Their ultimate goal is to enable dynamic real-time analysis, so that you''ll be able to select foci, tables, or entire studies for analysis and run a full-blown meta-analysis without leaving your browser. You''ll also be able to do things like upload entirely new images and obtain probabilistic estimates of the cognitive states most likely to be associated with the image. | activation foci, magnetic resonance imaging assay, brain, human, fmri, neuroimaging, python, image, functional neuroimaging, FASEB list |
is used by: NeuroVault is used by: NIF Data Federation is listed by: GitHub is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Brainspell has parent organization: University of Texas at Austin; Texas; USA |
NIMH R01MH096906 | PMID:21706013 | Neurosynth Automated Coordinate Extraction (ACE) tools under, Open unspecified license, Open Software License, v3, Http://www.nitrc.org/include/glossary.php#552, Software is, Free, Copyright and permission notice required | nlx_55906 | http://www.nitrc.org/projects/neurosynth, https://github.com/tyarkoni/neurosynth | SCR_006798 | Neurosynth.org | 2026-09-12 01:00:57 | 1340 | ||||
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NIMP: Neuroanatomy-anchored Information Management Platform for Collaborative BICAN Data Generation Resource Report Resource Website 1+ mentions |
NIMP: Neuroanatomy-anchored Information Management Platform for Collaborative BICAN Data Generation (RRID:SCR_024684) | NIMP | data or information resource, organization portal, portal | Web application that tracks the status of the BICAN consortium tissue samples and related data.NIMP is developed under NIH BRAIN Initiative's BICAN U24MH130988 award as a part of the coordinating unit for biostatistics, informatics, and engagement (CUBIE) for the BRAIN Initiative Cell Atlas Network (BICAN) program.NIMP consists of two portals for BICAN collaborative data generation: the Specimen Portal and the Sequence Library (SeqLib) Portal. The Specimen Portal focuses on tissue management from donors to brain slabs and annotated brain samples. The SeqLib Portal manages the workflow starting from tissue, all the way downstream to track data deposition to assay-dependent, data-modality-specific archives. Both portals work in tandem to generate multimodal genomic data that can be traced back to their anatomical origins using the Allen Brain Atlas. The portals provide multiple types of data interfaces through dashboards, APIs, faceted queries, and batch data ingestion and exporting. All of the underlying functionalities are achieved through a robust agile development strategy using NHash resource identifiers, metadata standardization, active combinatorial dashboarding, resource provenance linkage and rendering (e.g. Sankey diagrams), and dedicated interfaces with NIH Neuro Biobank, sequencing centers, NeMO, and the larger BICAN data ecosystem. | BICAN, BICAN consortium tissue samples and related data, data tracking, |
works with: Connectome Workbench is organization facet of: BRAIN Initiative Cell Atlas Network |
NIMH U24MH130988 | Restricted | https://specimenportal.com | SCR_024684 | BICAN Specimen Portal | 2026-09-12 01:01:18 | 3 | ||||||
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BAMS Nested Regions Resource Report Resource Website 1+ mentions |
BAMS Nested Regions (RRID:SCR_000238) | BAMS Nested Regions | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 7th, 2019. BAMS is an online resource for information about neural circuitry. The BAMS Nested Regions view focuses on the major brain regions and their relationships. | neural circuitry, brain region, brain |
is used by: NIF Data Federation has parent organization: Brain Architecture Management System |
NIMH MH61223; NINDS NS16686; NINDS/NIMH/NIBIB NS50792-01 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10175 | SCR_000238 | Brain Architecture Management System Nested Regions | 2026-09-12 01:01:19 | 3 | ||||||
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Sullivan Lab Evidence Project Resource Report Resource Website 1+ mentions |
Sullivan Lab Evidence Project (RRID:SCR_000753) | SLEP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database of genetic and gene expression data from the published literature on psychiatric disorders. Users can search the accumulated data to find the evidence in support of the involvement of a particular genomic region with a set of important psychiatric disorders, ADHD, autism, bipolar disorder, eating disorder, major depressive disorder, schizophrenia, and smoking behavior. It contains findings from manual reviews of 144 papers in psychiatric genetics, 136 primary reports and 8 meta-analyses. Disorders covered include schizophrenia (44 papers), autism (24 papers), bipolar disorder (24 papers), smoking behavior (24 papers), major depressive disorder and neuroticism (14 papers), ADHD (8 papers), eating disorders (3 papers), and a combined schizophrenia-bipolar phenotype (3 papers). The unbiased searches integrated into SLEP include genomewide linkage (117 papers), genomewide association (15 papers), copy number variation (9 papers), and gene expression studies of post-mortem brain tissue (3 meta-analyses courtesy of the Stanley Foundation). In total, SLEP captures 3,741 findings from these 144 papers. SLEP also contains over 70,000 SignPosts. These annotations derive from many different sources and are designed to try to capture current state of knowledge about disease associations in the human genome. SignPosts can be searched simultaneously with the psychiatric genetics literature in order to integrate these two bodies of knowledge. The SignPosts include: accumulated GWAS findings from the human genetics literature, the OMIM database, candidate gene association study literature, CNV location and frequency data, SNPs that influence gene expression in brain, genes expressed in brain, genes with evidence of imprinting and random monoalleleic expression, genes mutated in breast or colorectal cancer, and pathway data from BioCyc. | eating disorder, gene, gene expression, adhd, autism, bipolar disorder, brain, breast, cancer, colorectal, combined schizophrenia-bipolar, disease, genomic region, imprinting, major depressive disorder, meta-analysis, monoalleleic, mutation, neuroticism, post-mortem, psychiatric disorder, schizophrenia, smoking behavior, tissue, molecular neuroanatomy resource | Eating disorder, Bipolar disorder, Brain, Breast cancer, Colorectal cancer, Combined schizophrenia-bipolar disease, Genomic region, Imprinting, Major depressive disorder, schizophrenia, Smoking behavior, Autism, Attention deficit-hyperactivity disorder | NIMH MH097281 | PMID:18548508 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10439 | SCR_000753 | 2026-09-12 01:01:20 | 3 | ||||||
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brainSCANr Resource Report Resource Website 1+ mentions |
brainSCANr (RRID:SCR_000500) | brainSCANr | data or information resource, database | A database of neuroscience-related concepts that utilizes visualization tools for the purpose of research, education and knowledge discovery. The data comes from PubMed abstracts and an algorithm that assumes related terms will appear together. The topics can include computational modeling, behavioral functions and neurological degeneration. | neuroscience, pubmed, visualization, education, computation, modeling, research |
is related to: Oscillatory Thoughts has parent organization: University of California at Berkeley; Berkeley; USA |
NIMH 5-T32-MH18882 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_143546 | SCR_000500 | Brain Systems Connections Associations and Network Relationships | 2026-09-12 01:01:19 | 1 | ||||||
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BraVa Resource Report Resource Website 1+ mentions |
BraVa (RRID:SCR_001407) | BraVa | data or information resource, database | A database of digital reconstructions of the human brain arterial arborizations from 61 healthy adult subjects along with extracted morphological measurements. The arterial arborizations include the six major trees stemming from the circle of Willis, namely: the left and right Anterior Cerebral Arteries (ACAs), Middle Cerebral Arteries (MCAs), and Posterior Cerebral Arteries (PCAs). | digital reconstruction, morphometric analysis, cerebrum, arterial vasculature, magnetic resonance angiography, adult human, morphology, artery, arborization, circle of willis, cerebral artery, male, female, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Bravissima has parent organization: George Mason University: Krasnow Institute for Advanced Study |
Healthy | NINDS NS39600; NIBIB EB001955; NINDS NS061770; NIMH P20 MH52176 |
PMID:23727319 | Free, Freely Available | nlx_152630 | http://www.nitrc.org/projects/breva | SCR_001407 | 2026-09-12 01:01:22 | 8 | ||||
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WTCHG Genome Scan Viewer Resource Report Resource Website 1+ mentions |
WTCHG Genome Scan Viewer (RRID:SCR_001635) | GSCANDB | data or information resource, database, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database / display tool of genome scans, with a web interface that lets the user view the data. It does not perform any analyses - these must be done by other software, and the results uploaded into it. The basic features of GSCANDB are: * Parallel viewing of scans for multiple phenotypes. * Parallel analyses of the same scan data. * Genome-wide views of genome scans * Chromosomal region views, with zooming * Gene and SNP Annotation is shown at high zoom levels * Haplotype block structure viewing * The positions of known Trait Loci can be overlayed and queried. * Links to Ensembl, MGI, NCBI, UCSC and other genome data browsers. In GSCANDB, a genome scan has a wide definition, including not only the usual statistical genetic measures of association between genetic variation at a series of loci and variation in a phenotype, but any quantitative measure that varies along the genome. This includes for example competitive genome hybridization data and some kinds of gene expression measurements. | genome, gene, snp, trait, genotype, phenotype, visualization, region, chromosome, quantitative trait locus, hybridization, gene expression | has parent organization: University of Oxford; Oxford; United Kingdom | NIAAA U01AA014425; NCRR R24RR015116; NIGMS R01GM072863; NINDS R01NS049445; NIMH P20-MH 62009; NIAAA U24AA13513 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153902 | SCR_001635 | Wellcome Trust Centre for Human Genetics Genome Scan Viewer, Genome Scan Viewer, Genome Scan Database | 2026-09-12 01:01:22 | 3 | ||||||
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MPIDB Resource Report Resource Website 1+ mentions |
MPIDB (RRID:SCR_001898) | MPIDB | data or information resource, database | Database that collects and provides all known physical microbial interactions. Currently, 24,295 experimentally determined interactions among proteins of 250 bacterial species/strains can be browsed and downloaded. These microbial interactions have been manually curated from the literature or imported from other databases (IntAct, DIP, BIND, MINT) and are linked to 26,578 experimental evidences (PubMed ID, PSI-MI methods). In contrast to these databases, interactions in MPIDB are further supported by 68,346 additional evidences based on interaction conservation, co-purification, and 3D domain contacts (iPfam, 3did). (spoke/matrix) binary interactions inferred from pull-down experiments are not included. | 3d domain, conservation, co-purification, interaction, microbial, protein, microbial interaction, protein interaction, interaction conservation, interaction co-purification, 3d domain contact, protein-protein interaction, microbial protein, microbiology |
is listed by: re3data.org is related to: IMEx - The International Molecular Exchange Consortium is related to: IntAct is related to: Database of Interacting Proteins (DIP) is related to: BIND is related to: MINT is related to: Interaction Reference Index is related to: IMEx - The International Molecular Exchange Consortium is related to: PSICQUIC Registry has parent organization: J. Craig Venter Institute |
J. Craig Venter Institute ; Indgen Life Technologies ; NIH ; NIMH R01GM79710 |
PMID:18556668 | THIS RESOURCE IS NO LONGER IN SERVICE | r3d100010673, nif-0000-10467 | http://jcvi.org/mpidb/ | SCR_001898 | The Microbial Protein Interaction Database, Microbial Protein Interaction Database | 2026-09-12 01:01:23 | 5 |
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Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET 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.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
