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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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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 | topical portal, data or information resource, 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 | NIMH Research Training Career Development and Related Programs, NIMH Resources for Research Training Career Development, Research Training Career Development and Related Programs | 2026-08-03 09:32:53 | 0 | |||||||
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MapMyCells Resource Report Resource Website 10+ mentions |
MapMyCells (RRID:SCR_024672) | algorithm resource, software resource, software application, web application | MapMyCells maps single cell and spatial transcriptomics data sets to massive, high-quality, and high-resolution cell type taxonomies. It enables speeding up the creation of brain reference atlases by facilitating the integration of datasets from the scientific community with a shared reference. MapMyCells is part of the growing Brain Knowledge Platform. Its key advantage is scale: researchers can provide up to 327 million cell-gene pairs from their own data, a huge leap forward for working with whole-brain datasets. Allen Institute and its collaborators continue to add new reference taxonomies and algorithms to MapMyCells. | mapping of single cell and spatial transcriptomics data, mapping to whole mouse brain taxonomy, mapping to human brain taxonomy, correlation mapping, hierarchical mapping, label transfer |
has parent organization: Allen Institute is organization facet of: BICCN |
NIMH U24MH130918; Paul G. Allen Foundation |
Free, Freely available | https://knowledge.brain-map.org/mapmycells/process/, https://portal.brain-map.org/atlases-and-data/bkp/mapmycells/mapmycells-use-case-single-cell-genomics | SCR_024672 | Map My Cells, Allen MapMyCells | 2026-08-03 09:38:20 | 34 | |||||||
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Mindboggle Resource Report Resource Website 100+ mentions |
Mindboggle (RRID:SCR_002438) | Mindboggle | software resource, software application, data processing software | Mindboggle (http://mindboggle.info) is open source software for analyzing the shapes of brain structures from human MRI data. The following publication in PLoS Computational Biology documents and evaluates the software: Klein A, Ghosh SS, Bao FS, Giard J, Hame Y, Stavsky E, Lee N, Rossa B, Reuter M, Neto EC, Keshavan A. (2017) Mindboggling morphometry of human brains. PLoS Computational Biology 13(3): e1005350. doi:10.1371/journal.pcbi.1005350 | analyze, anatomic, atlas application, console (text based), labeling, python, magnetic resonance, os independent, region of interest, segmentation, brain, label, mri, anatomy, cerebral cortex, human brain, parcellation, morphometry, shape measures, cortical thickness, cortical depth, Laplace-Beltrami spectra, Zernike moments | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | NIMH MH084029-02 | Free, Available for download, Freely available | nlx_155813 | http://www.nitrc.org/projects/mindboggle | SCR_002438 | 2026-08-03 09:31:57 | 211 | ||||||
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NIMH Chemical Synthesis and Drug Supply Program Resource Report Resource Website 1+ mentions |
NIMH Chemical Synthesis and Drug Supply Program (RRID:SCR_004921) | NIMH CSDSP, CSDSP | reagent supplier, material resource | A program that synthesizes, purifies, and distributes otherwise unavailable essential compounds to stimulate basic and clinical research in psychopharmacology relevant to mental health in areas such as the molecular pharmacology and signaling of CNS receptors, longitudinal studies to evaluate the molecular, biochemical, and behavioral actions of psychoactive compounds, and functional brain imaging in both primates and humans. WHAT IS AVAILABLE: * Ligands for CNS receptors, radiolabeled compounds for autoradiography and neuroimaging, biochemical markers, drug analogs and metabolites, and reference standards * Synthesis (including GMP) of promising compounds for mental health research, including preclinical toxicology and safety studies, especially compounds for PET neuroimaging * A listing of currently available NIMH CSDSP compounds is available online at www.nimh-repository.rti.org. RTI International scientists can provide investigators with technical assistance and additional information about the compounds on request. Data sheets containing purity, storage, and handling information are supplied with all NIMH CSDSP compounds. WHO IS ELIGIBLE: Investigators involved in basic or clinical research relevant to mental health are eligible to submit requests. To learn more about current NIMH research areas, please visit the NIMH website at www.nimh.nih.gov. NIMH CSDSP compounds are free to qualified academic investigators, but payment may be required from nonacademic requestors. Investigators interested in obtaining radiolabeled compounds but uncertain about what type of label or specific activity would work best for them may obtain help by communicating with the technical contacts listed on the website. | contrast agent, catalog, compound, radiolabeled compound, ligand, autoradiography, neuroimaging, biochemical marker, drug, analog, metabolite, reference standard, mental health, pet, toxicology, basic research, clinical research, clinical, research |
is used by: NIF Data Federation has parent organization: RTI International |
NIMH | Investigators involved in basic or clinical research relevant to mental health are eligible to submit requests. Compounds are, Free to qualified academic investigators, But payment may be required from nonacademic requestors. Repository compounds are offered only for research and development purposes. | nif-0000-00234 | SCR_004921 | NIMH Chemical Synthesis Drug Supply Program | 2026-08-03 09:32:33 | 5 | ||||||
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SenseLab Resource Report Resource Website 10+ mentions |
SenseLab (RRID:SCR_007276) | SenseLab | organization portal, data or information resource, database, portal | The SenseLab Project is a long-term effort to build integrated, multidisciplinary models of neurons and neural systems. It was founded in 1993 as part of the original Human Brain Project, which began the development of neuroinformatics tools in support of neuroscience research. It is now part of the Neuroscience Information Framework (NIF) and the International Neuroinformatics Coordinating Facility (INCF). The SenseLab project involves novel informatics approaches to constructing databases and database tools for collecting and analyzing neuroscience information, using the olfactory system as a model, with extension to other brain systems. SenseLab contains seven related databases that support experimental and theoretical research on the membrane properties: CellPropDB, NeuronDB, ModelDB, ORDB, OdorDB, OdorMapDB, BrainPharmA pilot Web portal that successfully integrates multidisciplinary neurocience data. | neuron, model, olfactory system, brain, disease, neuronal, olfactory |
is related to: Neuroscience Information Framework is related to: International Neuroinformatics Coordinating Facility has parent organization: Yale University; Connecticut; USA is parent organization of: SimToolDB |
Aging | Human Brain Project ; Multidisciplinary University Research Initiative ; NIMH ; NIA ; NICD ; NINDS ; NIDCD RO1 DC 009977 |
nif-0000-00017 | SCR_007276 | SenseLab Project, The SenseLab Project | 2026-08-03 09:33:26 | 41 | ||||||
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BrainColor: Collaborative Open Labeling Online Resource Resource Report Resource Website 1+ mentions |
BrainColor: Collaborative Open Labeling Online Resource (RRID:SCR_006377) | BrainCOLOR | data or information resource, knowledge environment | This resource was created to host descriptions of protocols, definitions and rules for the reliable identification and localization of human brain anatomy and discussions of best practices in brain labeling. Project for manual anatomical labeling of human brain MRI data, and the visual presentation of labeled brain images. | atlas, curation, map, mapping, mri, image, brain, label, neurolabel, neuroanatomy |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Neuromorphometrics has parent organization: Columbia University; New York; USA |
NIMH R43 MH084358; NIMH MH084029 |
Free, Available for download, Freely available | nif-0000-07727 | https://www.binarybottle.com/braincolor/, https://github.com/binarybottle/braincolor | http://www.braincolor.org/ | SCR_006377 | Neurolabels, Collaborative Open Labeling Online Resource, Neuroanatomical Labeling Methods | 2026-08-03 09:33:04 | 3 | ||||
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NIMH Stem Cell Center Resource Report Resource Website 10+ mentions |
NIMH Stem Cell Center (RRID:SCR_006682) | NIMH Stem Cell Center | material resource, biomaterial supply resource, cell repository | Induced Pluripotent Stem Cell (iPSC) and Source Cells available for distribution for postnatal-to-adult human control and patient-derived cells and their reprogrammed derivatives in support of stem cell research relevant to mental disorders. This includes but is not limited to anxiety disorders, attention deficit hyperactivity disorder, autism spectrum disorders, bipolar disorder, borderline personality disorder, depression, eating disorders, obsessive-compulsive disorder, panic disorder, post-traumatic stress disorder, and schizophrenia. The capabilities of the repository range from derivation and banking of primary source cells from postnatal through adult human subject tissue to more comprehensive banking and validation of induced pluripotent stem cells (iPSCs) or similar reprogrammed / de-differentiated cells. Please send a message with the Contact page if you wish to contribute source cells or iPSC. | stem cell, cell, induced pluripotent stem cell, mental disease, anxiety disorder, attention deficit-hyperactivity disorder, autism spectrum disorder, bipolar disorder, borderline personality disorder, depressive disorder, eating disorder, obsessive-compulsive disorder, panic disorder, post-traumatic stress disorder, depression, schizophrenia, adult, postnatal, adolescent, normal |
is listed by: One Mind Biospecimen Bank Listing is related to: NIMH Repository and Genomics Resources has parent organization: Rutgers Cell and DNA Repository |
Mental disease, Anxiety Disorder, Attention deficit-hyperactivity disorder, Autism spectrum disorder, Bipolar Disorder, Borderline personality disorder, Depressive Disorder, Eating disorder, Obsessive-Compulsive Disorder, Panic Disorder, Post-Traumatic Stress Disorder, Schizophrenia, Normal | NIMH | Registration required | nlx_143795 | SCR_006682 | 2026-08-03 09:33:07 | 11 | ||||||
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TRACULA Resource Report Resource Website 10+ mentions |
TRACULA (RRID:SCR_013152) | TRACULA | software resource, software application, data processing software | Software tool developed for automatically reconstructing a set of major white matter pathways in the brain from diffusion weighted images using probabilistic tractography. This method utilizes prior information on the anatomy of the pathways from a set of training subjects. By incorporating this prior knowledge in the reconstruction procedure, our method obviates the need for manual intervention with the tract solutions at a later stage and thus facilitates the application of tractography to large studies. The trac-all script is used to preprocess raw diffusion data (correcting for eddy current distortion and B0 field inhomogenities), register them to common spaces, model and reconstruct major white matter pathways (included in the atlas) without any manual intervention. trac-all may be used to execute all the above steps or parts of it depending on the dataset and user''''s preference for analyzing diffusion data. Alternatively, scripts exist to execute chunks of each processing pipeline, and individual commands may be run to execute a single processing step. To explore all the options in running trac-all please refer to the trac-all wiki. In order to use this script to reconstruct tracts in Diffusion images, all the subjects in the dataset must have Freesurfer Recons. | tractography, white matter tract, white matter pathway, diffusion weighted image, diffusion magnetic resonance imaging, white matter, brain, reconstruct, diffusion tensor imaging |
is related to: FreeSurfer has parent organization: Harvard Medical School; Massachusetts; USA |
Aging | NIH Blueprint for Neuroscience Research ; Ellison Medical Foundation ; NIBIB EB008129; NIMH U01-MH093765; NCRR P41-RR14075; NCRR U24-RR021382; NIBIB R01-EB006758; NIA R01-AG022381; National Center for Complementary and Alternative Medicine RC1-AT005728; NINDS R01-NS052585; NINDS R21-NS072652; NINDS R01-NS070963 |
PMID:22016733 | nlx_143919 | SCR_013152 | TRACULA - TRActs Constrained by UnderLying Anatomy, TRACULA: TRActs Constrained by UnderLying Anatomy, TRActs Constrained by UnderLying Anatomy | 2026-08-03 09:35:19 | 17 | |||||
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CAWorks Resource Report Resource Website 1+ mentions |
CAWorks (RRID:SCR_014185) | image analysis software, software resource, software application, data processing software | A software application developed to support computational anatomy and shape analysis. The capabilities of CAWorks include: interactive landmark placement to create segmentation (mask) of desired region of interest; specialized landmark placement plugins for subcortical structures such as hippocampus and amygdala; support for multiple Medical Imaging data formats, such as Nifti, Analyze, Freesurfer, DICOM and landmark data; Quadra Planar view visualization; and shape analysis plugin modules, such as Large Deformation Diffeomorphic Metric Mapping (LDDMM). Specific plugins are available for landmark placement of the hippocampus, amygdala and entorhinal cortex regions, as well as a browser plugin module for the Extensible Neuroimaging Archive Toolkit. | image analysis software, computational anatomy, shape analysis, plugin, subcortex, landmark placement |
is used by: Northwestern University Schizophrenia Data and Software Tool (NUSDAST) is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Johns Hopkins University; Maryland; USA |
NIMH 1R01 MH084803; NIBIB R01 EB008171; NIA 5U01AG033655; NCRR P41 RR015241; NIBIB R01 EB000975 |
Available to the research community | http://www.cis.jhu.edu/software/caworks/ | SCR_014185 | Computational Anatomy Works | 2026-08-03 09:35:24 | 1 | |||||||
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DRIFTER Resource Report Resource Website 10+ mentions |
DRIFTER (RRID:SCR_014937) | image analysis software, software resource, software application, data processing software | Model based Bayesian method for eliminating physiological noise from fMRI data. This algorithm uses image voxel analysis to isolate the cardiac and respiratory noise from the relevant data. | bayesian, physiological noise, fMRI, algorithm, cardiac, respiratory, image anaylsis, bold signal | has parent organization: Aalto University; Espoo; Finland | NICHD R01HD040712; NINDS R01NS037462; NINDS R01NS048279; NCR P41RR014075; NIMH R01MH083744; NIDCD R21DC010060; NIBIB R21EB007298; National Science Council Taiwan NSC 98-2320-B-002-004-MY3; National Science Council Taiwan NSC 100-2325-B-002-046; National Health Research Institute Taiwan NHRI-EX100-9715EC; Academy of Finland 124698; Academy of Finland 125349; Academy of Finland 127624; Academy of Finland 129670; Academy of Finland 218054; Academy of Finland 218248 |
PMID:22281675 | Free, Available for download, Acknowledgement requested | SCR_014937 | DRIFTER Toolbox | 2026-08-03 09:35:40 | 28 | |||||||
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BICCN Resource Report Resource Website 100+ mentions |
BICCN (RRID:SCR_015820) | BICCN | consortium, organization portal, data or information resource, portal | Consortium for the cell census in the brain. Integrated network of data generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate brains. | cell census, neuroscience, brain, brain initiative cell census network, whole mouse brain, |
uses: QuickNII uses: HistoloZee uses: CellLocator uses: Semi-Manual Alignment to Reference Templates uses: LoomPy uses: Cytosplore Viewer uses: Allen Human Brain Atlas: BrainSpan (Atlas of the Developing Brain) uses: Blue Brain Cell Atlas uses: Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas uses: Hippocampome.org uses: Neuron Phenotype Ontology uses: Brain Image Library uses: Distributed Archives for Neurophysiology Data Integration uses: NeuroMorpho.Org uses: Azimuth uses: Brain Observatory Storage Service and Database (BossDB) uses: Optimus Pipeline uses: scATAC Pipeline uses: Smart-seq2 Single Nucleus Multi Sample Pipeline uses: CEMBA MethylC Seq Pipeline uses: Brain Architecture Project uses: Single Cell Portal uses: MorphoHub uses: Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas uses: Mouse Connectome Project uses: Allen Mouse Brain Reference Atlas uses: Allen Mouse Brain Common Coordinate Framework uses: Allen Human Reference Atlas, 3D, 2020 uses: NeMO Analytics uses: ANTS - Advanced Normalization ToolS uses: CloudReg uses: Brainome portal uses: CATlas uses: MetaNeighbor uses: Cell Annotation Platform uses: cellxgene uses: Neuroglancer uses: Vaa3D uses: QuickNII and VisuAlign uses: Hi5App uses: CloudVolume uses: neuroXiv uses: Brain Data Standards Ontology uses: Pittsburgh Supercomputing Center uses: Molecular Biosensor and Imaging Center uses: Generative Diffeomorphic Mapping uses: NIH NeuroBioBank uses: NeMOarchive lists: ccf_streamlines is related to: Mouse Connectome Project is related to: BarensLab Mini-Atlas is related to: Cumulus is related to: Pegasus is related to: Cirrocumulus is related to: Gene functional conservation across cell types and species is related to: BRAIN Initiative Cell Atlas Network is related to: ATAC Pipeline is related to: Slide-seq Pipeline is related to: Brain Knowledge Platform has parent organization: Allen Institute has parent organization: Allen Institute for Brain Science provides: mBrainAligner provides: BICCN Cell Registry provides: Cell Type Knowledge Explorer provides: Epiviz has organization facet: BICCN Anatomy and Morphology Project has organization facet: Cell Type Knowledge Explorer has organization facet: mBrainAligner has organization facet: Terra has organization facet: Allen Brain Cell Atlas has organization facet: Multiome Pipeline has organization facet: Allen Software Development Kit has organization facet: BICCN Imaging and analysis Techniques to Construct Cell Census Atlas of Human Brain has organization facet: Allen Brain Map BICCN Data Catalog has organization facet: snm3C Pipeline has organization facet: Paired-Tag Pipeline has organization facet: BuildIndices has organization facet: MapMyCells |
NIMH U19 MH114821; NIMH U19 MH114830; NIMH U19 MH114831 |
PMID:37390046 | Restricted | SCR_017266 | SCR_015820 | BICCN 2.0, BRAIN Initiative Cell Census Network, BRAIN Initiative Cell Census Network (BICCN) | 2026-08-03 09:36:14 | 227 | |||||
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NeMOarchive Resource Report Resource Website 100+ mentions |
NeMOarchive (RRID:SCR_016152) | NeMO | data repository, service resource, database, storage service resource, data or information resource | Data repository specifically focused on storage and dissemination of omic data generated from BRAIN Initiative and related brain research projects. Data repository and archive for BCDC and BICCN project, among others. NeMO data include genomic regions associated with brain abnormalities and disease, transcription factor binding sites and other regulatory elements, transcription activity, levels of cytosine modification, histone modification profiles and chromatin accessibility. | omic, neuroscience, neurobiology, bcbc, biccn, nih, brain, genomic, region, abnormal, transcription, factor, binding, site, chromatin, regulatory, element, data |
is used by: BRAIN Initiative Cell Atlas Network is used by: BICCN is recommended by: BRAIN Initiative is related to: NeMO Analytics has parent organization: University of Maryland School of Medicine; Maryland; USA |
NIMH MH114788; BRAIN Initiative |
Free, Freely available | https://data.nemoarchive.org/ | SCR_016152 | NeMO Archive, Neuroscience Multi-omic Data Archive, The Neuroscience Multi-Omic Archive, Neuroscience Multi-Omic Archive | 2026-08-03 09:36:37 | 113 | ||||||
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Mapping Population-based Structural Connectomes Resource Report Resource Website |
Mapping Population-based Structural Connectomes (RRID:SCR_016232) | software resource, data processing software, software application, data analysis software | Data analysis software that can simultaneously characterize a large number of white matter bundles within and across different subjects for group analysis. It has three major components: construction of the structural connectome for the whole brain, low-dimensional representation of streamlines in each connection, and multi-level connectome analysis. | dwi, t1, tractography, algorithm, white matter, bundle, gray matter, shape, analysis, network, workflow | NIMH MH086633; NIMH MH092335; NSF SES-1357666; NSF DMS-1407655; CPRIT RR150054; NSF DMS1127914 |
Free for non-commercial use, Available for download | SCR_016232 | 2026-08-03 09:36:40 | 0 | ||||||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | image collection, data repository, data or information resource, database, image repository, storage service resource, service resource | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | 2026-08-03 09:32:44 | 56 | |||||
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Army STARRS Resource Report Resource Website 1+ mentions |
Army STARRS (RRID:SCR_006708) | Army STARRS | portal, disease-related portal, topical portal, research forum portal, data or information resource | Study of mental health risk and resilience factors ever conducted among military personnel. The purpose of Army STARRS is to identify as quickly as possible factors that protect or pose risks to Soldiers'' emotional well-being and overall mental health so that the Army may apply the knowledge to its ongoing health promotion, risk reduction, and suicide prevention efforts. Army STARRS investigators will use four separate study components the Historical Data Study, New Soldier Study, All Army Study, and Soldier Health Outcomes Study to identify factors that help protect a Soldier''s mental health and factors that put a Soldier''s mental health at risk. Army STARRS is a five-year study that will run through 2014. Findings will be reported as they become available, so that the Army may apply them to its ongoing health promotion, risk reduction, and suicide prevention efforts. Given its length and scope, Army STARRS will generate a vast amount of information and will allow investigators to focus on periods in a military career that are known to be high risk for psychological problems. The information gathered from volunteer participants throughout the study will help researchers identify not only potentially relevant risk factors, but potential protective factors as well. Because promoting mental health and reducing suicide risk are important for all Americans, the findings from Army STARRS will benefit not only servicemembers but the nation as a whole. NIMH has assembled a group of renowned experts to carry out this research including teams from the Uniformed Services University of the Health Sciences (USUHS), the University of California, San Diego, University of Michigan, Harvard Medical School, and NIMH. Additional Army and NIMH program staff will contribute to the oversight and implementation of the study. This research team brings together international leaders in military health, health and behavior surveys, epidemiology, suicide, and genetic and neurobiological factors involved in psychological health. | mental health, suicide, mental disease, one mind ptsd, one mind tbi | has parent organization: U.S. Army | NIMH ; U.S. Army |
nlx_143810 | SCR_006708 | Army Study To Assess Risk and Resilience in Servicemembers | 2026-08-03 09:33:08 | 5 | |||||||
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Computational Neurobiology and Imaging Center Resource Report Resource Website 1+ mentions |
Computational Neurobiology and Imaging Center (RRID:SCR_013317) | CNIC | portal, topical portal, data or information resource, software resource, data set | Center to advance research and training in mathematical, computational and modern imaging approaches to understanding the brain and its functions. Software tools and associated reconstruction data produced in the center are available. Researchers study the relationships between neural function and structure at levels ranging from the molecular and cellular, through network organization of the brain. This involves the development of new computational and analytic tools for imaging and visualization of 3-D neural morphology, from the gross topologic characteristics of the dendritic arbor to the fine structure of spines and their synapses. Numerical simulations of neural mechanisms based on these structural data are compared with in-vivo and in-vitro electrophysiological recordings. The group also develops new theoretical and analytic approaches to exploring the function of neural models of working memory. The goal of this analytic work is to combine biophysically realistic models and simulations with reduced mathematical models that capture essential dynamical behaviors while reproducing the functionally important features of experimental data. Research areas include: Imaging Studies, Volume Integration, Visualization Techniques, Medial Axis Extraction, Spine Detection and Classification, Applications of Rayburst, Analysis of Spatially Complex Structures, Computational Modeling, Mathematical and Analytic Studies | brain, confocal, in-vitro, in-vivo, microscopy, morphology, morphometric, multi-photon, neural, neural function, neuron, simulation, stack, structure, synapse, topologic, variable, vessel, visualization, image, neuroscience, neurobiology, reconstruction, modeling, spatial, rayburst, spine, arbor, visual, tiling, imaging |
lists: NeuronStudio lists: Rayburst Open-Source Code lists: Volume Integration and Alignment System lists: Volume Integration and Alignment System Source Code lists: Polygonized Viewer lists: NeuroGL lists: TIFF Stack Sub-Sampler is related to: NeuroMorpho.Org is related to: Rayburst Open-Source Code is related to: Polygonized Viewer is related to: NeuroGL is related to: TIFF Stack Sub-Sampler is related to: NeuronStudio is related to: Volume Integration and Alignment System is related to: Volume Integration and Alignment System Source Code has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
Aging | Howard Hughes Medical Institute ; NIDCD ; NIA ; NIMH |
nif-0000-10200 | http://www.mssm.edu/cnic/ | SCR_013317 | 2026-08-03 09:35:12 | 6 | ||||||
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Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) Resource Report Resource Website 1+ mentions |
Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) (RRID:SCR_008844) | STEP-BD | portal, disease-related portal, clinical trial, topical portal, research forum portal, data or information resource | A long-term outpatient study designed to find out which treatments, or combinations of treatments, are most effective for treating episodes of depression and mania and for preventing recurrent episodes in people with bipolar disorder. This study has been completed. (2005) STEP-BD is evaluating all the best-practice treatment options used for bipolar disorder: mood-stabilizing medications, antidepressants, atypical antipsychotics, and psychosocial interventions - or talk therapies - including Cognitive Behavioral Therapy, Family-focused Therapy, Interpersonal and Social Rhythm Therapy, and Collaborative Care (psychoeducation). There are two kinds of treatment pathways in STEP-BD, and participants may have the opportunity to take part in both. The medications and psychosocial interventions provided in these pathways are considered among the best choices of treatment for bipolar disorder in everyday clinical practice. In the Best Practice Pathway, participants are followed by a STEP-BD certified doctor and all treatment choices are individualized. Everyone enrolled in STEP-BD may participate in this pathway. Participants and their doctors work together to decide on the best treatment plans and to change these plans if needed. Also, anyone who wishes to stay on his or her current treatment upon entering STEP-BD may do so in this pathway. Adolescents and adults age 15 years and older may participate in the Best Practice Pathway. For adults age 18 and older, another way to participate is in the STEP-BD Randomized Care Pathways. Depending on their symptoms, participants may be offered treatment in one or more of these pathways during the course of the study. The participants remain on mood-stabilizing medication. However, because doctors are uncertain which of several treatment strategies work best for bipolar disorder, another medication and/or talk therapy may be added. Each Randomized Care Pathway involves a different set of these additional treatments. Unlike in the Best Practice Pathway, the participants in the Randomized Care Pathways are randomly assigned to treatments. Also, in some cases, neither the participant nor the doctor will be told which of the different medications is being added. This is called a double-blind study and is done so that the medication effects can be evaluated objectively, without any unintended bias that may come from knowing what has been assigned. Participants will not be assigned medications that they have had bad reactions to in the past, that they are strongly opposed to, or that the doctor feels are unsuitable for them. The medication(s) participants may be randomly assigned to in the Randomized Care Pathways are free of charge. There are other treatment options for participants if they do not respond well to the treatment assigned to them. Also, participants may return to the Best Practice Pathway at any time. About 1,500 individuals will be enrolled in at least one Randomized Care Pathway during their period of participation in STEP-BD. It is important to note that STEP-BD provides continuity of care. For example, if a participant starts out in the Best Practice Pathway and later chooses to enter one of the Randomized Care Pathways, he or she continues with the same STEP-BD doctor and treatment team. Then, after completing the Randomized Care Pathway, the participant may return to the Best Practice Pathway for ongoing, individually-tailored treatment. Follow the link to view study info at Clinicaltrials.gov, http://www.clinicaltrials.gov/ct/show/NCT00012558?order=1 | treatment, depression, mania, bipolar disorder, depressive disorder, clinical trial, psychosocial therapy, lithium, drug, valproate, bupropion, paroxetine, lamotrigine, risperidone, inositol, tranylcypromine, behavioral therapy, cognitive behavioral therapy, family-focused therapy, interpersonal and social rhythms therapy, adolescent, adult human, outpatient, best-practice, antidepressant, atypical antipsychotic, psychosocial intervention, medication |
is used by: Limited Access Datasets From NIMH Clinical Trials is related to: NIMH Repository and Genomics Resources has parent organization: ClinicalTrials.gov |
Mania, Bipolar Disorder, Depressive Disorder | NIMH | nlx_146235 | http://www.nimh.nih.gov/health/trials/practical/step-bd/index.shtml | SCR_008844 | Systematic Treatment Enhancement Program for Bipolar Disorder | 2026-08-03 09:34:09 | 5 | |||||
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Vocal Inventory Clustering Engine (VoICE) Resource Report Resource Website 1+ mentions |
Vocal Inventory Clustering Engine (VoICE) (RRID:SCR_016004) | VoICE | software resource, data processing software, software application, data analysis software | Software that groups vocal elements of birdsong by creating a high dimensionality dataset through scoring spectral similarity between vocalizations. | bird, song, birdsong, vocal, audio, analysis, vocalization, spectral similarity, avian, matlab | uses: MATLAB | Autism Speaks 7657; UCLA ; 5T32HC00722834 ; NIMH RO1MH081754; NICHD P50 HD055784; NIMH R01 MH081754; NIMH R01 MH070712 |
Free, Available for download | SCR_016004 | VoICE (Vocal Inventory Clustering Engine), Vocal Inventory Clustering Engine (VoICE), VoICE: Vocal Inventory Clustering Engine, VoICE: A semi-automated pipeline for standardizing vocal analysis across models | 2026-08-03 09:36:16 | 1 | |||||||
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Human Reference Protein Interactome Project Resource Report Resource Website 10+ mentions |
Human Reference Protein Interactome Project (RRID:SCR_015670) | HuRI | portal, database, web application, data or information resource, software resource, project portal | Project portal for the Human Reference Protein Interactome Project, which aims generate a first reference map of the human protein-protein interactome network by identifying binary protein-protein interactions (PPIs). It achieves this by systematically interrogating all pairwise combinations of predicted human protein-coding genes using proteome-scale technologies. | protein interactome, protein-protein interaction, ppi, pairwise combination, proteome, human reference | NHGRI R01/U01HG001715; NHGRI P50HG004233; NHLBI U01HL098166; NHLBI U01HL108630; NCI U54CA112962; NCI R33CA132073; NIH RC4HG006066; NICHD ARRA R01HD065288; NICHD ARRA R21MH104766; NICHD ARRA R01MH105524; NIMH R01MH091350; NSF CCF-1219007; NSERC RGPIN-2014-03892 |
PMID:25416956 | Freely Available, Free, Available for download | SCR_015670 | HuRI: The Human Reference Protein Interactome Mapping Project | 2026-08-03 09:36:22 | 20 | |||||||
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Seurat Resource Report Resource Website 5000+ mentions |
Seurat (RRID:SCR_016341) | software toolkit, software application, data processing software, data analysis software, software resource | Software R package designed for QC, analysis, and exploration of single cell RNA-seq data. Enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. Used for quality control, analysis, and exploration of single-cell RNA sequencing (scRNA-seq) data. | single, cell, genomic, RNA-seq, data, QC, analysis, source, heterogeneity, transcriptomic, measurement, integrate, diverse |
is used by: Stardust is used by: Seurat MapQuery is related to: DoubletFinder is related to: Azimuth works with: SeuratWrappers works with: Connectome |
NHGRI 1DP2HG009623; NIMH 5R01MH071679; NSF |
PMID:29608179 | Free, Available for download, Freely available | https://satijalab.org/seurat/get_started.html | SCR_016341 | 2026-08-03 09:36:43 | 9395 |
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