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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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HeadIT Resource Report Resource Website 1+ mentions |
HeadIT (RRID:SCR_005657) | HeadIT | data or information resource, data repository, data set, service resource, storage service resource | Platform for sharing, download, and re-analysis or meta-analysis of sophisticated, fully annotated, human electrophysiological data sets. It uses EEG Study Schema (ESS) files to provide task, data collection, and subject metadata, including Hierarchical Event Descriptor (HED) tag descriptions of all identified experimental events. Visospatial task data also available from, http://sccn.ucsd.edu/eeglab/data/headit.html: A 238-channel, single-subject EEG data set recorded at the Swartz Center, UCSD, by Arnaud Delorme, Julie Onton, and Scott Makeig is al. | electrophysiology, data sharing, eeg, visual-auditory cued attention shift paradigm, adult, early adult human, late adult human, memory task, modified sternberg working memory task, visual, auditory, auditory oddball, memory, task |
uses: HED Tags is related to: EEGLAB has parent organization: University of California at San Diego; California; USA |
Normal, Healthy, Others possible | NIMH R01-MH084819; NINDS R01-NS047293 |
Public, Must agree to Data Use Agreement and Terms of Use., Account required for collaboration and to upload data. | nlx_149081 | http://headit-beta.ucsd.edu/, http://sccn.ucsd.edu/eeglab/data/headit.html | http://HeadIT.org | SCR_005657 | SciCrunch Registry | Human Electrophysiology Anatomic Data & Integrated Tools (HeadIT) Resource, Human Electrophysiology Anatomic Data & Integrated Tools Resource, Human Electrophysiology Anatomic Data & Integrated Tools, Human Electrophysiology Anatomic Data and Integrated Tools (HeadIT) Resource | 2026-10-24 12:45:30 | 5 | |||
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MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia Resource Report Resource Website 1+ mentions |
MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia (RRID:SCR_005644) | MATRICS | knowledge environment | Cognitive deficits -- including impairments in areas such as memory, attention, and executive function -- are a major determinant and predictor of long-term disability in schizophrenia. Unfortunately, available antipsychotic medications are relatively ineffective in improving cognition. Scientific discoveries during the past decade suggest that there may be opportunities for developing medications that will be effective for improving cognition in schizophrenia. The NIMH has identified obstacles that are likely to interfere with the development of pharmacological agents for treating cognition in schizophrenia. These include: (1) a lack of a consensus as to how cognition in schizophrenia should be measured; (2) differing opinions as to the pharmacological approaches that are most promising; (3) challenges in clinical trial design; (4) concerns in the pharmaceutical industry regarding the US Food and Drug Administration''s (FDA) approaches to drug approval for this indication; and (5) issues in developing a research infrastructure that can carry out clinical trials of promising drugs. The MATRICS program will bring together representatives of academia, industry, and government in a consensus process for addressing all of these obstacles. Specific goals of the NIMH MATRICS are: * To catalyze regulatory acceptance of cognition in schizophrenia as a target for drug registration. * To promote development of novel compounds to enhance cognition in schizophrenia. * Leverage economic research power of industry to focus on important but neglected clinical targets. * Identify lead compounds and if deemed feasible, support human proof of concept trials for cognition in schizophrenia. | schizophrenia, cognitive deficit, memory, attention, executive function, disability, cognition, clinical | has parent organization: University of California at Los Angeles; California; USA | Schizophrenia | NIMH | nlx_146271 | SCR_005644 | SciCrunch Registry | Measurement And Treatment Research to Improve Cognition in Schizophrenia, Measurement Treatment Research to Improve Cognition in Schizophrenia | 2026-10-24 12:45:30 | 6 | ||||||
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MRI Research Safety and Ethics Resource Report Resource Website |
MRI Research Safety and Ethics (RRID:SCR_005642) | MRI Research Safety and Ethics | data or information resource, narrative resource, standard specification | NIMH recognizes the need to consider safety and ethical issues related to both the administration of MR (magnetic resonance) facilities and the use of these facilities for research. This document summarizes the points to consider discussed by the National Advisory Mental Health Council (NAMHC) Workgroup. Examples of safe and ethical practices are discussed in relation to several issues. These examples are intended to be illustrative and should not be interpreted as an exhaustive or exclusive list. This document was presented to the full NIMH Council on September 15, 2006 and approved unanimously. By making the points to consider document available publicly, NIMH intends to provide a resource for researchers and institutions that use MRI in research. The agenda was organized into six topics, which provide the organization for the points to consider that follow: A. MRI screening B. Training, operating, and emergency procedures C. Physical facilities D. Scanning/participant health variables E. Context- Specific Considerations: University vs. medical settings F. Additional data needs and updating The NIMH believes that investigators, institutions and facilities can use this document as a resource for the development, administration, evaluation, and use of MRI research facilities. | mri, research, neuroscience, imaging | has parent organization: National Institute of Mental Health | NIMH | nlx_146267 | SCR_005642 | SciCrunch Registry | MRI Research Safety and Ethics: Points to Consider, MRI Research Safety Ethics | 2026-10-24 12:45:30 | 0 | |||||||
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Brain Basics Resource Report Resource Website |
Brain Basics (RRID:SCR_005606) | Brain Basics | data or information resource, narrative resource, training material, video resource | Brain Basics provides information on how the brain works, how mental illnesses are disorders of the brain, and ongoing research that helps us better understand and treat disorders. Mental disorders are common. You may have a friend, colleague, or relative with a mental disorder, or perhaps you have experienced one yourself at some point. Such disorders include depression, anxiety disorders, bipolar disorder, attention deficit hyperactivity disorder (ADHD), and many others. Some people who develop a mental illness may recover completely; others may have repeated episodes of illness with relatively stable periods in between. Still others live with symptoms of mental illness every day. They can be moderate, or serious and cause severe disability. Through research, we know that mental disorders are brain disorders. Evidence shows that they can be related to changes in the anatomy, physiology, and chemistry of the nervous system. When the brain cannot effectively coordinate the billions of cells in the body, the results can affect many aspects of life. Scientists are continually learning more about how the brain grows and works in healthy people, and how normal brain development and function can go awry, leading to mental illnesses. Brain Basics will introduce you to some of this science, such as: * How the brain develops * How genes and the environment affect the brain * The basic structure of the brain * How different parts of the brain communicate and work with each other * How changes in the brain can lead to mental disorders, such as depression. | brain, depression, anxiety disorder, bipolar disorder, attention deficit-hyperactivity disorder, depressive disorder, mental disease, gene, environment | has parent organization: NIMH Educational Resources | NIMH | nlx_146226 | SCR_005606 | SciCrunch Registry | NIMH Brain Basics | 2026-10-24 12:45:29 | 0 | |||||||
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NIMH Resources for Research Training and Career Development Resource Report Resource Website |
NIMH Resources for Research Training and Career Development (RRID:SCR_005624) | NIMH Resources for Research Training and Career Development | data or information resource, portal, topical portal, training resource | A portal to the National Institute of Mental Health''s Research Training, Career Development, and Related Programs. Topics cover Resources for Applicants, Individual Fellowship Programs, Individual Career Development Programs, Institutional Training Programs, Additional Career Development/Training-Related Opportunities, and Training Programs to Increase Workforce Diversity. | research, career development, fellowship, training, career | has parent organization: National Institute of Mental Health | NIMH | nlx_146240 | SCR_005624 | SciCrunch Registry | NIMH Research Training Career Development and Related Programs, NIMH Resources for Research Training Career Development, Research Training Career Development and Related Programs | 2026-10-24 12:45:30 | 0 | |||||||
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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 | SciCrunch Registry | Gene Ontology Explorer, GO Explorer | 2026-10-24 12:45:32 | 32 | ||||
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Computerized Anatomical Reconstruction and Editing Toolkit Resource Report Resource Website 50+ mentions |
Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) | CARET | data processing software, data visualization software, image processing software, software application, software resource | Software package to visualize and analyze structural and functional characteristics of cerebral and cerebellar cortex in humans, nonhuman primates, and rodents. Runs on Apple (Mac OSX), Linux, and Microsoft Windows operating systems. | reconstruction, visualization, cerebral cortex, surface, brain, dataset, cerebellar cortex, atlas application, mesh generation, quantitative shape analysis, segmentation, shape analysis, intersubject, image-to-template, gaussian curvature, mean curvature, animation, three dimensional display, two dimensional display, surface rendering, cortical flat map, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: SumsDB has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NEI EY02091; NIMH R01 MH60974 |
PMID:11522765 | Free, Available for download, Freely available | nif-0000-00279 | http://www.nitrc.org/projects/caret, https://sources.debian.org/src/caret/ | SCR_006260 | SciCrunch Registry | Computerized Anatomical Reconstruction Editing Toolkit | 2026-10-24 12:45:40 | 59 | ||||
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Brain Architecture Project Resource Report Resource Website 10+ mentions |
Brain Architecture Project (RRID:SCR_004283) | data or information resource, portal, topical portal | Evolving portal that will provide interactive tools and resources to allow researchers, clinicians, and students to discover, analyze, and visualize what is known about the brain's organization, and what the evidence is for that knowledge. This project has a current experimental focus: creating the first brainwide mesoscopic connectivity diagram in the mouse. Related efforts for the human brain currently focus on literature mining and an Online Brain Atlas Reconciliation Tool. The primary goal of the Brain Architecture Project is to assemble available knowledge about the structure of the nervous system, with an ultimate emphasis on the human CNS. Such information is currently scattered in research articles, textbooks, electronic databases and datasets, and even as samples on laboratory shelves. Pooling the knowledge across these heterogeneous materials - even simply getting to know what we know - is a complex challenge that requires an interdisciplinary approach and the contributions and support of the greater community. Their approach can be divided into 4 major thrusts: * Literature Curation and Text Mining * Computational Analysis * Resource Development * Experimental Efforts | central nervous system, connectivity, mapping, model, neuroanatomy, organism, post-mortem, structure, nervous system, structure, human, mouse, brain, zebra finch, addiction gene, addiction |
is used by: BICCN lists: Allen Institute for Brain Science lists: University of California at Los Angeles; California; USA is related to: Mouse Brain Architecture Project is related to: BICCN Anatomy and Morphology Project is related to: Allen Institute for Brain Science has parent organization: Cold Spring Harbor Laboratory is parent organization of: Human Brain Connectivity Database is parent organization of: OBART is parent organization of: Zebrafinch Brain Architecture Project is parent organization of: Mouse Brain Architecture Project |
W. M. Keck Foundation ; NIMH ; NIDA ; Crick-Clay Professorship in Biomathematics at CSHL ; Mathers Foundation ; Simons Foundation |
Free, Public | nlx_143664 | SCR_004283 | SciCrunch Registry | BrainArchitecture.org, BrainArchitecture | 2026-10-24 12:45:09 | 14 | |||||||
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Yogo Data Management System Resource Report Resource Website |
Yogo Data Management System (RRID:SCR_004239) | software application, software resource, software toolkit, source code | A set of software tools created to rapidly build scientific data-management applications. These applications will enhance the process of data annotation, analysis, and web publication. The system provides a set of easy-to-use software tools for data sharing by the scientific community. It enables researchers to build their own custom-designed data management systems. The problem of scientific data management rests on several challenges. These include flexible data storage, a way to share the stored data, tools to curate the data, and history of the data to show provenance. The Yogo Framework gives you the ability to build scientific data management applications that address all of these challenges. The Yogo software is being developed as part of the NeuroSys project. All tools created as part of the Yogo Data Management Framework are open source and released under an OSI approved license. | has parent organization: Montana State University | The Michael J. Fox Foundation for Parkinsons Research ; Lumina Foundation ; NSF ; EPSCoR Program ; Montana State University; Montana; USA ; NIMH MH0441-07 |
Open unspecified license | nlx_25179 | SCR_004239 | SciCrunch Registry | Yogo Framework, Yogo Data Management Framework, Yogo | 2026-10-24 12:45:09 | 0 | ||||||||
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Psychiatric Genomics Consortium Resource Report Resource Website 100+ mentions |
Psychiatric Genomics Consortium (RRID:SCR_004495) | PGC | analysis service resource, community building portal, computational hosting, consortium, data analysis service, data or information resource, data repository, organization portal, portal, production service resource, service resource, storage service resource | Consortium conducting meta-analyses of genome-wide genetic data for psychiatric disease. Focused on autism, attention-deficit hyperactivity disorder, bipolar disorder, major depressive disorder, schizophrenia, anorexia nervosa (AN), Tourette syndrome (TS), and obsessive-compulsive disorder (OCD). Used to investigate common single nucleotide polymorphisms (SNPs) genotyped on commercial arrays, structural variation (copy number variation) and uncommon or rare genetic variation. To participate you are asked to upload data from your study to central computer used by this consortium. Genetic Cluster Computer serves as data warehouse and analytical platform for this study . When data from your study have been incorporated, account will be provided on central server and access to all GWAS genotypes, phenotypes, and meta-analytic results relevant to deposited data and participation aims. NHGRI GWAS Catalog contains updated information about all GWAS in biomedicine, and is usually excellent starting point to find comprehensive list of studies. Files can be obtained by any PGC member for any disease to which they contributed data. These files can also be obtained by application to NIMH Genetics Repository. Individual-level genotype and phenotype data requires application, material transfer agreement, and informed consent consideration. Some datasets are also in controlled-access dbGaP and Wellcome Trust Case-Control Consortium repositories. PGC members can also receive back cleaned and imputed data and results for samples they contributed to PGC analyses. | structural variation, genetic variation, single nucleotide polymorphism, attention deficit-hyperactivity disorder, bipolar disorder, schizophrenia, mental disease, one mind ptsd, data sharing, visualization, genome-wide association study, genomic, genotype, phenotype, psychiatry, gwas, copy number variation, FASEB list |
is related to: Ricopili is related to: GWAS: Catalog of Published Genome-Wide Association Studies is related to: NCBI database of Genotypes and Phenotypes (dbGap) is related to: Wellcome Trust Case Control Consortium has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
Mental disease, Attention deficit-hyperactivity disorder, Bipolar Disorder, Schizophrenia, Major Depressive Disorder, Autism, Cross-disorder | Hersenstichting Nederland ; Netherlands Genetic Cluster Computer ; NIMH |
PMID:20955924 PMID:19895722 PMID:19648536 PMID:19339359 PMID:19002139 |
Restricted | nlx_143769 | https://pgc.unc.edu/ | SCR_004495 | SciCrunch Registry | Psychiatric Genomics Consortium, PGC, Psychiatric GWAS Consortium | 2026-10-24 12:45:13 | 121 | |||
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Mouse Brain Architecture Project Resource Report Resource Website 1+ mentions |
Mouse Brain Architecture Project (RRID:SCR_004683) | atlas, d spatial image, data or information resource, reference atlas | An atlas project whose goal is to enerate brainwide maps of inter-regional neural connectivity that specify the inputs and outputs of every brain region, at a "mesoscopic" level of analysis. A 3D injection viewer is used to view the mouse brain. To determine the outputs of a brain region, anterograde tracers are used which are taken up by neurons locally ("the input"), then transported actively down the axons to the "output regions." The whole brain is then sliced thinly, and each slice is digitally imaged. These 2-D images are reconstructed in 3D. The majority of the resulting 3-D brain image is unlabeled. Only the injected region and its output regions have tracer in them, allowing for identification of this small fraction of the connectivity map. This procedure is repeated identically, to account for individual variability. To determine the inputs to the same brain region as above, a retrograde tracer is injected in the same stereotaxic location ("the input"), and the process is repeated. In order to accumulate data from different mice (each of whom has a slightly different brain shape and size), 3-D spatial normalization is performed using registration algorithms. These gigapixel images of whole-brain sections can be zoomed to show individual neurons and their processes, providing a "virtual microscope." Each sampled brain is represented in about 500 images, each image showing an optical section through a 20 micron-thick slice of brain tissue. A multi-resolution viewer permits users to journey through each brain, following the pathways taken through three-dimensional brain space by tracer-labeled neuronal pathways. A key point is that at the mid-range "mesoscopic" scale, the team expects to assemble a picture of connections that are stereotypical and probably genetically determined in a species-specific manner. By dividing the volume of a hemisphere of the mouse brain into 250 equidistant, predefined grid-points, and administering four different kinds of tracer injections at each grid point -- in different animals of the same sex and age a complete wiring diagram that will be stitched together in "shotgun" fashion from the full dataset. | atlas, brain, brain architecture, connectivity, mouse brain architecture, neuroanatomy |
is related to: Brain Architecture Project has parent organization: Brain Architecture Project |
NIH Office of the Director ; NIMH RC1MH088659; NIMH R01MH087988 |
Fully accessible to the neuroscience community as well as interested members of the general public, Acknowledgement requested | nlx_146201 | http://www.brainarchitecture.org | http://www.brainarchitecture.org/mouse/about | SCR_004683 | SciCrunch Registry | MBA Project, Mouse Brain Architecture | 2026-10-24 12:45:15 | 5 | |||||
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BAMS Neuroanatomical Ontology Resource Report Resource Website 1+ mentions |
BAMS Neuroanatomical Ontology (RRID:SCR_004616) | controlled vocabulary, data or information resource, ontology | Ontology designed for neuroscience. Includes complete set of concepts that describe parts of rat nervous system, growing set of concepts that describe neuron populations identified in different brain regions, and relationships between concepts. | has parent organization: Brain Architecture Management System | NIMH MH61223; NINDS NS050792; NINDS NS16668 |
PMID:18974794 | Restricted | nlx_61376 | http://brancusi.usc.edu/bkms/bams-ontology.html | SCR_004616 | SciCrunch Registry | BAMS Ontology | 2026-10-24 12:45:14 | 2 | ||||||
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OpenNeuro Resource Report Resource Website 100+ mentions |
OpenNeuro (RRID:SCR_005031) | OpenNeuro, OpenfMRI | data or information resource, data repository, database, image repository, service resource, storage service resource | Open platform for analyzing and sharing neuroimaging data from human brain imaging research studies. Brain Imaging Data Structure ( BIDS) compliant database. Formerly known as OpenfMRI. Data archives to hold magnetic resonance imaging data. Platform for sharing MRI, MEG, EEG, iEEG, and ECoG data. | neuroinformatics, database, storing, dataset, neuroimaging, data, MRI, MEG, EEG, iEEG, ECoG, FASEB list |
uses: Brain Imaging Data Structure (BIDs) uses: HED Tags is used by: studyforrest.org is used by: DataLad is used by: NIF Data Federation is used by: Integrated Datasets is used by: NIH Heal Project is used by: Baby Open Brains is recommended by: National Library of Medicine is recommended by: BRAIN Initiative is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is listed by: DataCite is listed by: FAIRsharing is affiliated with: NEMAR is related to: Integrated Manually Extracted Annotation has parent organization: Stanford University; Stanford; California has parent organization: Stanford Center for Reproducible Neuroscience has parent organization: BRAIN Initiative is provided by: OpenNeuro |
BRAIN Initiative ; Laura and John Arnold Foundation ; NIDA ; NIMH ; NSF OCI1131441; Squishymedia ; Stanford |
Free, Freely available | DOI:10.25504/FAIRsharing.s1r9bw, r3d100010924, nlx_144048, DOI:10.17616/R33047, DOI:10.18112 | http://www.nitrc.org/projects/openfmri, https://github.com/OpenNeuroDatasets, https://doi.org/10.17616/R33047, https://doi.org/10.17616/r33047, https://doi.org/10.18112/, https://dx.doi.org/10.18112/, https://fairsharing.org/10.25504/FAIRsharing.s1r9bw, https://doi.org/10.17616/R33047 | http://openfmri.org | SCR_005031 | SciCrunch Registry | OpenfMRI, Open fMRI, OpenNeuro | 2026-10-24 12:45:19 | 310 | ||||
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PennCNV Resource Report Resource Website 100+ mentions |
PennCNV (RRID:SCR_002518) | PennCNV | software resource | A free software tool for Copy Number Variation (CNV) detection from SNP genotyping arrays. Currently it can handle signal intensity data from Illumina and Affymetrix arrays. With appropriate preparation of file format, it can also handle other types of SNP arrays and oligonucleotide arrays. PennCNV implements a hidden Markov model (HMM) that integrates multiple sources of information to infer CNV calls for individual genotyped samples. It differs form segmentation-based algorithm in that it considered SNP allelic ratio distribution as well as other factors, in addition to signal intensity alone. In addition, PennCNV can optionally utilize family information to generate family-based CNV calls by several different algorithms. Furthermore, PennCNV can generate CNV calls given a specific set of candidate CNV regions, through a validation-calling algorithm. | imaging genomics, copy number variation, snp, genotyping array, array, oligonucleotide, hidden markov model, genotype, genome |
is listed by: OMICtools is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: VegaMC is related to: OpenBioinformatics.org has parent organization: University of Pennsylvania; Philadelphia; USA |
NIMH MH604687 | PMID:17921354 | Free | OMICS_00729, nlx_155921 | http://www.openbioinformatics.org/penncnv/ |
http://www.neurogenome.org/cnv/penncnv | SCR_002518 | SciCrunch Registry | PennCNV: copy number variation detection | 2026-10-24 12:44:44 | 372 | |||
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Cognitive Atlas Resource Report Resource Website 10+ mentions |
Cognitive Atlas (RRID:SCR_002793) | Cognitive Atlas | controlled vocabulary, data or information resource, ontology | Knowledge base (or ontology) that characterizes the state of current thought in cognitive science that captures knowledge from users with expertise in psychology, cognitive science, and neuroscience. There are two basic kinds of knowledge in the knowledge base. Terms provide definitions and properties for individual concepts and tasks. Assertions describe relations between terms in the same way that a sentence describes relations between parts of speech. The goal is to develop a knowledge base that will support annotation of data in databases, as well as supporting improved discourse in the community. It is open to all interested researchers. A fundamental feature of the knowledge base is the desire and ability to capture not just agreement but also disagreement regarding definitions and assertions. Thus, if you see a definition or assertion that you disagree with, then you can assert and describe your disagreement. The project is led by Russell Poldrack, Professor of Psychology and Neurobiology at the University of Texas at Austin in collaboration with the UCLA Center for Computational Biology (A. Toga, PI) and UCLA Consortium for Neuropsychiatric Phenomics (R. Bilder, PI). Most tasks used in cognitive psychology research are not identical across different laboratories or even within the same laboratory over time. A major advantage of anchoring cognitive ontologies to the measurement level is that the strategy for determining changes in task properties is easier than tracking changes in concept definitions and usage. The process is easier because task parameters are usually (if not always) operationalized objectively, offering a clear basis to judge divergence in methods. The process is also easier because most tasks are based on prior tasks, and thus can more readily be considered descendants in a phylogenetic sense. | cognitive function, cognitive phenotype, cognitive process, cognitive science, cognitive state, human, cognitive ontology, cognitive task, experimental task, mental construct, concept, task, eeg, meg, electrocorticography, magnetic resonance, ontology, pet, spect, knowledge environment |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Speech Perception is related to: Brainspell has parent organization: University of Texas at Austin; Texas; USA is parent organization of: Cognitive Atlas Ontology |
NIMH RO1MH082795 | PMID:21922006 PMID:19634038 |
Free, Freely Available | nif-0000-24591 | http://www.nitrc.org/projects/cogatlas | SCR_002793 | SciCrunch Registry | cognitive atlas - a collaboratively developed cognitive science ontology | 2026-10-24 12:44:53 | 38 | ||||
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SumsDB Resource Report Resource Website 10+ mentions |
SumsDB (RRID:SCR_002759) | SumsDB, WebCaret | analysis service resource, atlas, data analysis service, data or information resource, data repository, database, image repository, production service resource, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 11, 2016. Repository of brain-mapping data (surfaces and volumes; structural and functional data) derived from studies including fMRI and MRI from many laboratories, providing convenient access to a growing body of neuroimaging and related data. WebCaret is an online visualization tool for viewing SumsDB datasets. SumsDB includes: * data on cerebral cortex and cerebellar cortex * individual subject data and population data mapped to atlases * data from FreeSurfer and other brainmapping software besides Caret SumsDB provides multiple levels of data access and security: * Free (public) access (e.g., for data associated with published studies) * Data access restricted to collaborators in different laboratories * Owner-only access for work in progress Data can be downloaded from SumsDB as individual files or as bundles archived for offline visualization and analysis in Caret WebCaret provides online Caret-style visualization while circumventing software and data downloads. It is a server-side application running on a linux cluster at Washington University. WebCaret "scenes" facilitate rapid visualization of complex combinations of data Bi-directional links between online publications and WebCaret/SumsDB provide: * Links from figures in online journal article to corresponding scenes in WebCaret * Links from metadata in WebCaret directly to relevant online publications and figures | segmentation, volume, neuroimaging, brain, fmri, stereotaxic foci, stereotaxic coordinate, brain-mapping, foci, structural mri, mri, cerebral cortex, cerebellar cortex, afni brik, analyze, atlas, nifti, registration, rendering, spatial transformation, surface analysis, surface rendering, visualization, volume rendering, brain mapping, neuroanatomy |
is used by: NIF Data Federation is listed by: Biositemaps is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is related to: Computerized Anatomical Reconstruction and Editing Toolkit is related to: Integrated Manually Extracted Annotation has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
Mental disease, Neurological disorder, Normal | Human Brain Project ; NSF ; NCI ; NLM ; NASA ; National Partnership for Advanced Computational Infrastructure ; NIMH R01 MH60974-06 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00016, r3d100010169 | http://brainvis.wustl.edu/wiki/index.php/Sums:About http://www.nitrc.org/projects/sumsdb, https://doi.org/10.17616/R3JC76 | SCR_002759 | SciCrunch Registry | SumsDB WebCaret, SumsDB Database, Web Caret, WebCaret Online Visualization, Surface Management System Database and WebCaret Online Visualization, SumsDB and WebCaret, Sums database, SumsDB (Surface Management System Database) and WebCaret Online Visualization, Sums DB, SumsDB (Surface Management System Database) WebCaret Online Visualization, Surface Management System Database | 2026-10-24 12:44:47 | 14 | ||||
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Neural Open Simulation Resource Report Resource Website |
Neural Open Simulation (RRID:SCR_002916) | NEOSIM | data processing software, simulation software, software application, software resource | Simulation software that includes a parallel discrete event simulation kernel for running models of spiking neurons on a cluster of workstations. Models are specified using NeuroML, and visualized using Java2D. Simulation components are distributed across a parallel machine or network and communicate using timestamped events. The successor NEOSIM2 project under the NeuroGems umbrella at Edinburgh University (http://www.neurogems.org) continues to distribute the software, http://www.neurogems.org/neosim2/ The NEOSIM project includes: * a parallel discrete event simulation kernel for running models of spiking neural networks on clusters of machines. * a modules kit for extending the behavior of neurons and connectivity patterns. * a user interface for building and running simulations. OS: Linux, MS-Windows | systems modeling, simulation, model, neuron, spiking, neural network, behavior, connectivity, source code, xml |
is related to: NeuroML has parent organization: University of Edinburgh; Scotland; United Kingdom |
NIMH MH-57358 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00161 | SCR_002916 | SciCrunch Registry | NEOSIM - Neural Open Simulation | 2026-10-24 12:44:49 | 0 | ||||||
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brainmap.org Resource Report Resource Website 100+ mentions |
brainmap.org (RRID:SCR_003069) | BrainMap | data or information resource, database, software application, software resource | A community database of published functional and structural neuroimaging experiments with both metadata descriptions of experimental design and activation locations in the form of stereotactic coordinates (x,y,z) in Talairach or MNI space. BrainMap provides not only data for meta-analyses and data mining, but also distributes software and concepts for quantitative integration of neuroimaging data. The goal of BrainMap is to develop software and tools to share neuroimaging results and enable meta-analysis of studies of human brain function and structure in healthy and diseased subjects. It is a tool to rapidly retrieve and understand studies in specific research domains, such as language, memory, attention, reasoning, emotion, and perception, and to perform meta-analyses of like studies. Brainmap contains the following software: # Sleuth: database searches and Talairach coordinate plotting (this application requires a username and password) # GingerALE: performs meta-analyses via the activation likelihood estimation (ALE) method; also converts coordinates between MNI and Talairach spaces using icbm2tal # Scribe: database entry of published functional neuroimaging papers with coordinate results | 3d model, atlas, data management, imaging, map, neuroinformatics, warping, neuroimaging, brain, talairach, mni, java, modeling, magnetic resonance, nifti-1, ontology, os independent, pet, spect, visualization, functional neuroimaging, fmri |
uses: Scribe is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Brede Database has parent organization: University of Texas Health Science Center at San Antonio; Texas; USA is parent organization of: Sleuth is parent organization of: GingerALE |
Healthy, Diseased | NIMH 2R01-MH074457 | PMID:15897617 PMID:11967563 PMID:15846810 |
Free, Freely available | nif-0000-00049 | http://www.nitrc.org/projects/brainmap | SCR_003069 | SciCrunch Registry | BrainMap Database | 2026-10-24 12:44:51 | 484 | |||
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BrainInfo Resource Report Resource Website 10+ mentions |
BrainInfo (RRID:SCR_003142) | atlas, data or information resource, database, narrative resource, portal, standard specification, topical portal | Portal to neuroanatomical information on the Web that helps you identify structures in the brain and provides a variety of information about each structure by porting you to the best of 1500 web pages at 100 other neuroscience sites. BrainInfo consists of three basic components: NeuroNames, a developing database of definitions of neuroanatomic structures in four species, their most common acronyms and their names in eight languages; NeuroMaps, a digital atlas system based on 3-D canonical stereotaxic atlases of rhesus macaque and mouse brains and programs that enable one to map data to standard surface and cross-sectional views of the brains for presentation and publication; and the NeuroMaps precursor: Template Atlas of the Primate Brain, a 2-D stereotaxic atlas of the longtailed (fascicularis) macaque brain that shows the locations of some 250 architectonic areas of macaque cortex. The NeuroMaps atlases will soon include a number of overlays showing the locations of cortical areas and other neuroscientific data in the standard frameworks of the macaque and mouse atlases. Viewers are encouraged to use NeuroNames as a stable source of unique standard terms and acronyms for brain structures in publications, illustrations and indexing systems; to use templates extracted from the NeuroMaps macaque and mouse brain atlases for presenting neuroscientific information in image format; and to use the Template Atlas for warping to MRIs or PET scans of the macaque brain to estimate the stereotaxic locations of structures. | brain, neuroanatomy |
is used by: NIF Data Federation is listed by: Biositemaps is related to: INIA19 Primate Brain Atlas has parent organization: University of Washington; Seattle; USA has parent organization: University of California at San Diego; California; USA |
The Human Brain Project ; NIBIB ; NLM LM/OD-06243; NIH Office of the Director LM/OD-06243; NIMH MHO69259; NCRR RR-00166 |
PMID:21789500 PMID:21163300 PMID:18368361 PMID:15055392 |
Free, Freely available | nif-0000-00019 | SCR_003142 | SciCrunch Registry | Brain Info | 2026-10-24 12:44:52 | 16 | ||||||
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Mouse Phenome Database (MPD) Resource Report Resource Website 100+ mentions |
Mouse Phenome Database (MPD) (RRID:SCR_003212) | MPD | data or information resource, data repository, database, experimental protocol, narrative resource, service resource, storage service resource | Database enables integration of genomic and phenomic data by providing access to primary experimental data, data collection protocols and analysis tools. Data represent behavioral, morphological and physiological disease-related characteristics in naive mice and those exposed to drugs, environmental agents or other treatments. Collaborative standardized collection of measured data on laboratory mouse strains to characterize them in order to facilitate translational discoveries and to assist in selection of strains for experimental studies. Includes baseline phenotype data sets as well as studies of drug, diet, disease and aging effect., protocols, projects and publications, and SNP, variation and gene expression studies. Provides tools for online analysis. Data sets are voluntarily contributed by researchers from variety of institutions and settings, or retrieved by MPD staff from open public sources. MPD has three major types of strain-centric data sets: phenotype strain surveys, SNP and variation data, and gene expression strain surveys. MPD collects data on classical inbred strains as well as any fixed-genotype strains and derivatives that are openly acquirable by the research community. New panels include Collaborative Cross (CC) lines and Diversity Outbred (DO) populations. Phenotype data include measurements of behavior, hematology, bone mineral density, cholesterol levels, endocrine function, aging processes, addiction, neurosensory functions, and other biomedically relevant areas. Genotype data are primarily in the form of single-nucleotide polymorphisms (SNPs). MPD curates data into a common framework by standardizing mouse strain nomenclature, standardizing units (SI where feasible), evaluating data (completeness, statistical power, quality), categorizing phenotype data and linking to ontologies, conforming to internal style guides for titles, tags, and descriptions, and creating comprehensive protocol documentation including environmental parameters of the test animals. These elements are critical for experimental reproducibility. | female, genomic location, genotype, inbred strain, male, mouse strain, phenome, phenotype, qtl, reference data, single-nucleotide polymorphism, strain allele, strain characteristic, strain, trait, gene expression, variation, hypothesis testing, data set, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: Integrated Datasets is used by: NIH Heal Project is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Special Mouse Strains Resource is related to: Vertebrate Trait Ontology is related to: GenomeMUSter has parent organization: Jackson Laboratory |
NHGRI HG003057; NHLBI HL66611; NIA AG025707; NIA AG038070; NIDA ; NIDA DA028420; NIMH MH071984 |
PMID:24243846 PMID:22102583 PMID:18987003 PMID:17151079 |
Free, Freely available | biotools:mpd, nif-0000-03160, r3d100010101 | https://bio.tools/mpd, https://doi.org/10.17616/R3PC7F | http://www.jax.org/phenome | SCR_003212 | SciCrunch Registry | Mouse Phenome Database | 2026-10-24 12:44:53 | 230 |
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