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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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ABIDE Resource Report Resource Website 100+ mentions |
ABIDE (RRID:SCR_003612) | ABIDE | data or information resource, data set | Resting state functional magnetic resonance imaging (R-fMRI) datasets from 539 individuals with autism spectrum disorder (ASD) and 573 typical controls. This initiative involved 16 international sites, sharing 20 samples yielding 1112 datasets composed of both MRI data and an extensive array of phenotypic information common across nearly all sites. This effort is expected to facilitate discovery science and comparisons across samples. All datasets are anonymous, with no protected health information included. | phenotype, resting state functional magnetic resonance imaging, mri, image, fmri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: 1000 Functional Connectomes Project has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Autism spectrum disorder, Normal | Leon Levy Foundation ; Joseph P. Healy ; Stavros Niarchos Foundation ; NIMH K23MH087770; NIMH R03MH096321 |
Account required, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 | nlx_157761 | SCR_003612 | Autism Brain Imaging Data Exchange | 2026-07-27 09:31:49 | 212 | |||||
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Limited Access Datasets From NIMH Clinical Trials Resource Report Resource Website 1+ mentions |
Limited Access Datasets From NIMH Clinical Trials (RRID:SCR_005614) | Limited Access Datasets From NIMH Clinical Trials | data or information resource, data set | A listing of data sets from NIMH-supported clinical trials. Limited Access Datasets are available from numerous NIMH studies. NIMH requires all investigators seeking access to data from NIMH-supported trials held by NIMH to execute and submit as their request the appropriate Data Use Certification pertaining to the trial. The datasets distributed by NIMH are referred to as limited access datasets because access is limited to qualified researchers who complete Data Use Certifications. | clinical trial, mental health, child |
uses: ClinicalTrials.gov uses: Sequenced Treatment Alternatives to Relieve Depression Study uses: CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness uses: CATIE - Alzheimers Disease uses: Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) uses: TADS - Treatment for Adolescents with Depression Study uses: Treatment of SSRI-resistant Depression in Adolescents (TORDIA) is listed by: re3data.org has parent organization: NIMH Clinical Trials |
Depressive Disorder, Attention deficit-hyperactivity disorder, Autism Spectrum Disorder, Bipolar Disorder, Alzheimer's disease, Anxiety, Schizophrenia, Pervasive Development Disorder | NIMH | Approval required, Data Use Certification required | nlx_146232 | http://www.nimh.nih.gov/funding/clinical-trials-for-researchers/datasets/ | http://www.nimh.nih.gov/trials/datasets/nimh-procedures-for-requesting-data-sets.shtml, http://www.nimh.nih.gov/health/trials/datasets/ | SCR_005614 | Available Limited Access Datasets From NIMH Clinical Trials | 2026-07-27 09:32:19 | 1 | |||
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MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data or information resource, data set | An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease. | fmri, functional connectivity, resting-state, independent component analysis, connectome, adolescent, adult, mri, resting state network, connectivity, dataset | has parent organization: MIALAB - Medical Image Analysis Lab | Aging | NRC Bilatgrunn ; NIBIB 1R01-EB006841; NIBIB 1R01- EB005846; NIBIB 2R01-EB000840; NIBIB 1 P20 RR021938-01; DOE DE-FG02-08ER64581; NIMH 1R01-MH072681-01; John Templeton Foundation grant 12456; NIAAA 1P20 AA017068; NINDSR21NS064464 ; NIDA1 R03 DA022435-01A1 ; NIDA1 R03 DA024212-01A1 ; NIDA KO1-DA021632-02 |
PMID:21442040 | nlx_151552 | SCR_008914 | Medical Image Analysis Laboratory - Resting State Data, MIA Laboratory - Resting State Data, Medical Image Analysis Lab - Resting State Data, Medical Image Analysis (MIA) Laboratory - Resting State Data | 2026-07-27 09:33:14 | 10 | ||||||
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NIMH Educational Resources Resource Report Resource Website |
NIMH Educational Resources (RRID:SCR_004045) | NIMH Educational Resources | narrative resource, data or information resource, topical portal, portal, training material | A portal to educational resources. | education, mental health, science, human, child, young human |
has parent organization: National Institute of Mental Health is parent organization of: Brain Basics is parent organization of: Neuroscience and Psychiatry Module 1: Translating Neural Circuits into Novel Therapeutics is parent organization of: Science of Mental Illness: Grades 6- 8 is parent organization of: Brain's Inner Workings: Activities for Grades 9 through 12 is parent organization of: Neuroscience and Psychiatry Module 2: Fear/Safety Anxiety and Anxiety Disorders |
NIMH | nlx_146225 | SCR_004045 | National Institute of Mental Health Educational Resources | 2026-07-28 09:40:54 | 0 | |||||||
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Yogo Data Management System Resource Report Resource Website |
Yogo Data Management System (RRID:SCR_004239) | software application, software toolkit, source code, software resource | 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 | Yogo Framework, Yogo Data Management Framework, Yogo | 2026-07-28 09:40:55 | 0 | ||||||||
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Brain Architecture Project Resource Report Resource Website 10+ mentions |
Brain Architecture Project (RRID:SCR_004283) | data or information resource, topical portal, 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 | BrainArchitecture.org, BrainArchitecture | 2026-07-28 09:40:58 | 14 | |||||||
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Psychiatric Genomics Consortium Resource Report Resource Website 100+ mentions |
Psychiatric Genomics Consortium (RRID:SCR_004495) | PGC | analysis service resource, service resource, community building portal, data or information resource, organization portal, data repository, data analysis service, computational hosting, consortium, production service resource, storage service resource, portal | 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 | Netherlands Genetic Cluster Computer ; Hersenstichting Nederland ; NIMH |
PMID:20955924 PMID:19895722 PMID:19648536 PMID:19339359 PMID:19002139 |
Restricted | nlx_143769 | https://pgc.unc.edu/ | SCR_004495 | Psychiatric Genomics Consortium, PGC, Psychiatric GWAS Consortium | 2026-07-28 09:41:03 | 104 | |||
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Mouse Brain Architecture Project Resource Report Resource Website 1+ mentions |
Mouse Brain Architecture Project (RRID:SCR_004683) | data or information resource, d spatial image, atlas, 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 | MBA Project, Mouse Brain Architecture | 2026-07-28 09:41:04 | 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 NS16668; NINDS NS050792 |
PMID:18974794 | Restricted | nlx_61376 | http://brancusi.usc.edu/bkms/bams-ontology.html | SCR_004616 | BAMS Ontology | 2026-07-28 09:41:03 | 2 | ||||||
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OpenNeuro Resource Report Resource Website 100+ mentions |
OpenNeuro (RRID:SCR_005031) | OpenNeuro, OpenfMRI | service resource, data or information resource, data repository, image repository, database, 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 |
NSF OCI1131441; NIDA ; Laura and John Arnold Foundation ; Stanford ; Squishymedia ; BRAIN Initiative ; NIMH |
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 | OpenfMRI, Open fMRI, OpenNeuro | 2026-07-28 09:41:12 | 247 | ||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | service resource, data or information resource, data repository, image repository, database, image collection, storage 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 | 2026-07-28 09:41:07 | 56 | |||||
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Army STARRS Resource Report Resource Website 1+ mentions |
Army STARRS (RRID:SCR_006708) | Army STARRS | research forum portal, disease-related portal, data or information resource, topical portal, portal | 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 | 2026-07-28 09:41:36 | 5 | |||||||
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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 | research forum portal, disease-related portal, data or information resource, clinical trial, topical portal, portal | 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 | 2026-07-28 09:42:17 | 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 | data set, data or information resource, software resource, topical portal, portal | 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 | 2026-07-28 09:43:15 | 6 | ||||||
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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 application, software resource, data analysis software, data processing 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 | 2026-07-28 09:44:12 | 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 | web application, project portal, data or information resource, database, software resource, 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 | 2026-07-28 09:43:58 | 20 | |||||||
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Seurat Resource Report Resource Website 5000+ mentions |
Seurat (RRID:SCR_016341) | software application, data analysis software, software resource, data processing software, software toolkit | 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 | 2026-07-28 09:44:15 | 9395 | |||||||
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LeafCutter Resource Report Resource Website 10+ mentions |
LeafCutter (RRID:SCR_017639) | software application, data analysis software, software resource, data processing software, data analytics software | Software tool for identifying and quantifying RNA splicing variation. Used to study sample and population variation in intron splicing. Identifies variable intron splicing events from short read RNA-seq data and finds alternative splicing events of high complexity. Used for detecting differential splicing between sample groups, and for mapping splicing quantitative trait loci (sQTLs). | Identify, quantitate, RNA, splicing, variation, intron, short, read, RNAseq, data, mapping, trait, loci, sQTL | has parent organization: Stanford University; Stanford; California | CEHG Fellowship ; Howard Hughes Medical Institute ; NHGRI HG007036; NHGRI HG008140; NHGRI HG009431; NIMH R01 MH107666 |
PMID:29229983 DOI:10.1038/s41588-017-0004-9 |
Free, Available for download, Freely available | SCR_017639 | 2026-07-28 09:44:39 | 29 | ||||||||
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Drop-seq tools Resource Report Resource Website 50+ mentions |
Drop-seq tools (RRID:SCR_018142) | software application, software resource, data analysis software, data processing software | Software Java tools for analyzing Drop-seq data. Used to analyze gene expression from thousands of individual cells simultaneously. Analyzes mRNA transcripts while remembering origin cell transcript. | Simultaneous analysis, Drop-seq data, gene expression, thousands individual cells |
is listed by: Debian has parent organization: Broad Institute |
Stanley Center for Psychiatric Research ; MGH Psychiatry Residency Research Program ; Stanley-MGH Fellowship in Psychiatric Neuroscience ; Stewart Trust Fellows Award ; Simons Foundation ; NHGRI P50 HG006193; Klarman Cell Observatory ; NIMH U01 MH105960; NIMH R25 MH094612; NICHD F32 HD075541; NSF ECS 0335765; NSF DMR 1310266; NSF DMR 1420570 |
PMID:26000488 | https://sources.debian.org/src/drop-seq-tools/ | SCR_018142 | Droplet sequencing tools, Droplet sequencing data analysis software tools | 2026-07-28 09:44:50 | 94 | |||||||
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NIH Blueprint NHP Atlas Resource Report Resource Website 10+ mentions |
NIH Blueprint NHP Atlas (RRID:SCR_010559) | NHP Atlas | data or information resource, database, atlas, expression atlas, reference atlas | Atlas of gene expression in the developing rhesus macaque brain. This atlas is a free online resource with a unique set of data and tools aimed to create a developmental neuroanatomical framework for exploring the cellular and molecular architecture of the developing postnatal primate brain with direct relevance for human brain development. The atlas includes: * Microarray ** Microdissection: Fine structure transcriptional profiling across postnatal development for fine nuclear subdivisions of the prefrontal cortex, primary visual cortex, hippocampus, amygdala and ventral striatum ** Macrodissection: Gross structure transcriptional profiling across postnatal development for the same structures * ISH: ** Cellular resolution in situ hybridization image data of five major brain regions during postnatal developmental periods for genes clinically important for a variety of human neurodevelopmental disorders, including prefrontal cortex, primary visual cortex, hippocampus, amygdala and ventral striatum. ** Serial analysis of selected genes across the entire adult brain, focusing on cellular marker genes, genes with cortical area specificity and gene families important to neural function. * ISH Anatomic Search: Detailed gene expression search on the ISH data based on expert annotation * Reference Data: Developmental stage-specific reference series, consisting of magnetic resonance imaging (MRI) and Nissl histology to provide a neuroanatomical context for the gene expression data. These data and tools are designed to provide a valuable public resource for researchers and educators to explore neurodevelopment in non-human primates, and a key evolutionary link between other Web-based gene expression atlases for adult and developing mouse and human brain. | molecular neuroanatomy resource, developing brain, development, brain, gene expression, postnatal, mrna transcript, in situ hybridization, prefrontal cortex, primary visual cortex, hippocampus, amygdala, ventral striatum, dna microarray, magnetic resonance imaging, nissl, histology, brain development, developmental stage, microdissection, macrodissection, microarray, cell density, neuroanatomy, non-human primate |
is related to: Allen Human Brain Atlas: BrainSpan (Atlas of the Developing Brain) has parent organization: Allen Institute for Brain Science |
Neurodevelopmental disorder | NIH Blueprint for Neuroscience Research ; NIMH contract HHSN-271-2008-0047 |
Free | nlx_37895 | SCR_010559 | NIH Blueprint Non-Human Primate Atlas | 2026-07-28 09:42:51 | 24 |
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