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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Mindboggle Resource Report Resource Website 100+ mentions |
Mindboggle (RRID:SCR_002438) | Mindboggle | data processing software, software application, software resource | 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 | 2026-02-16 09:45:47 | 211 | ||||||
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NeuroMab Resource Report Resource Website 1000+ mentions |
NeuroMab (RRID:SCR_003086) | NeuroMab | data or information resource, organization portal, portal | A national mouse monoclonal antibody generating resource for biochemical and immunohistochemical applications in mammalian brain. NeuroMabs are generated from mice immunized with synthetic and recombinant immunogens corresponding to components of the neuronal proteome as predicted from genomic and other large-scale cloning efforts. Comprehensive biochemical and immunohistochemical analyses of human, primate and non-primate mammalian brain are incorporated into the initial NeuroMab screening procedure. This yields a subset of mouse mAbs that are optimized for use in brain (i.e. NeuroMabs): for immunocytochemical-based imaging studies of protein localization in adult, developing and pathological brain samples, for biochemical analyses of subunit composition and post-translational modifications of native brain proteins, and for proteomic analyses of native brain protein networks. The NeuroMab facility was initially funded with a five-year U24 cooperative grant from NINDS and NIMH. The initial goal of the facility for this funding period is to generate a library of novel NeuroMabs against neuronal proteins, initially focusing on membrane proteins (receptors/channels/transporters), synaptic proteins, other neuronal signaling molecules, and proteins with established links to disease states. The scope of the facility was expanded with supplements from the NIH Blueprint for Neuroscience Research to include neurodevelopmental targets, the NIH Roadmap for Medical Research to include epigenetics targets, and NIH Office of Rare Diseases Research to include rare disease targets. These NeuroMabs will then be produced on a large scale and made available to the neuroscience research community on an inexpensive basis as tissue culture supernatants or purified immunoglobulin by Antibodies Inc. The UC Davis/NIH NeuroMab Facility makes NeuroMabs available directly to end users and is unable to accommodate sales to distributors for third party distribution. Note, NeuroMab antibodies are now offered through antibodiesinc. | antibody, brain, channel, disease-related protein, k channel subunit, mab, mammalian, membrane protein, monoclonal antibody, mouse, neuronal monoclonal antibody, neuronal protein, neuronal signaling molecule, reagent, receptor, research reagent, synaptic protein, transporter |
is used by: NIF Data Federation is listed by: OMICtools has parent organization: University of California at Davis; California; USA |
NINDS ; NIMH ; NIH Blueprint for Neuroscience Research ; NIH Roadmap for Medical Research ; Office of Rare Diseases Research ; Antibodies Inc. |
Free, Freely available | grid.482686.6, nif-0000-00175 | https://ror.org/00fyrp007 | SCR_003086 | UCDavis/NIH NeuroMab Facility, antibodies.inc, antibodiesinc.com, antibodiesinc | 2026-02-16 09:45:55 | 1810 | |||||
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SenseLab Resource Report Resource Website 10+ mentions |
SenseLab (RRID:SCR_007276) | SenseLab | data or information resource, database, organization portal, 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 | 2026-02-16 09:46:56 | 41 | ||||||
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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 | 2026-02-16 09:46:47 | 11 | ||||||
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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 set, data or information resource | 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 | 2026-02-16 09:46:40 | 1 | |||
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MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data set, data or information resource | 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 | 2026-02-16 09:47:18 | 10 | ||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | image repository, image collection, data repository, database, storage service resource, service resource, data or information 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 | 2026-02-16 09:46:24 | 56 | |||||
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Army STARRS Resource Report Resource Website 1+ mentions |
Army STARRS (RRID:SCR_006708) | Army STARRS | research forum portal, topical portal, portal, data or information resource, disease-related 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 | 2026-02-16 09:46:47 | 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, software resource, topical portal, portal, data or information resource | 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 | 2026-02-16 09:48:22 | 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 | research forum portal, clinical trial, topical portal, portal, data or information resource, disease-related 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 | 2026-02-16 09:47:17 | 5 | |||||
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University of Pittsburgh Conte Center for the Neuroscience of Mental Disorders Resource Report Resource Website |
University of Pittsburgh Conte Center for the Neuroscience of Mental Disorders (RRID:SCR_000014) | Pitt CCNMD, Conte Center | data or information resource, organization portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16,2023. Conte Center for the Neuroscience of Mental Disorders (CCNMD) at the University of Pittsburgh offers a highly interactive scientific environment for the study of the neurobiology of schizophrenia. Integrates the laboratory and clinical research activities of investigators from the University of Pittsburgh Schools of Medicine and Arts and Sciences and the adjacent Carnegie Mellon University. | schizophrenia, gaba |
has parent organization: University of Pittsburgh; Pennsylvania; USA is parent organization of: University of Pittsburgh Brain Tissue Donation Program |
NIMH 5P50MH103204-03 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144496 | SCR_000014 | Conte Center for the Neuroscience of Mental Disorders | 2026-02-16 09:45:10 | 0 | ||||||
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EPMBA.ORG: Electronic Prenatal Mouse Brain Atlas Resource Report Resource Website 1+ mentions |
EPMBA.ORG: Electronic Prenatal Mouse Brain Atlas (RRID:SCR_001882) | EPMBA | data or information resource, atlas | The Electronic Prenatal Mouse Brain Atlas, EPMBA, at present consists of two sets of annotated images of coronal sections from Gestational Day (GD) 12 heads and GD 16 brains of C57BL/6J mice. Ten micron thick sections were stained with hematoxylin and eosin. Images were prepared at various resolutions for annotations and for high resolution presentation. A subset of sections were annotated and linked to anatomical terms. Additionally, horizontal sections of a GD 12 head were aligned and re-assembled into a 3D volume for digital sectioning in arbitrarily oblique planes. These images were captured using a Nikon E800 stereomicroscope with a 10X objective. The resolution is 1.35 pixels/micrometer. The PC program used to grab the images, Microbrightfield's Neurolucida (version 6), stitched together a mosaic of between 10 and 50 high-res images for each tissue slice, while the user focused the scope for each mosaic tile. Since the nature of optic lenses is to focus on one central point, it was difficult to obtain a uniformly-focused field of vision; as such, small areas of these images are blurred. Images were then transferred to a Macintosh and processed in Adobe Photoshop (version 7). Color levels were adjusted for maximum clarity of the tissue, and areas surrounding the tissue were cleared of artifacts. Each image is approximately 3350 pixels wide by 2650 pixels high. A scale bar with a length of 1350 pixels/mm is visible in the lower right-hand corner of each image. The annotations have been completed for the Atlas of Developing Mouse Brain Gestational (Embryonic) Day 12 (7/5/07) as well as the Atlas of Developing Mouse Brain Embryonic Day 16 (4/26/07). The 3D EPMBA data set has been mounted on a NeuroTerrain Atlas Server (NtAS). (6/27/07). | embryonic, brain, c57bl/6j, coronal, developing, developmental, gestational, head, horizontal sections, image, mouse, prenatal | has parent organization: East Tennessee State University; Tennessee; USA | Human Brain Project ; NIMH 263-MD-414639 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10452 | SCR_001882 | EPMBA.org, Electronic Prenatal Mouse Brain Atlas | 2026-02-16 09:45:37 | 1 | ||||||
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Mindboggle-101 atlases Resource Report Resource Website 10+ mentions |
Mindboggle-101 atlases (RRID:SCR_002439) | Mindboggle-101 | data or information resource, atlas | Complete set of free, publicly accessible, downloadable atlases, templates, and individual manually labeled brain image data, the largest collection of publicly available, manually labeled human brains in the world! http://journal.frontiersin.org/article/10.3389/fnins.2012.00171/full | clinical neuroinformatics, computational neuroscience, mgh/mgz, magnetic resonance, nifti, image collection | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | NIMH MH084029 | PMID:23227001 | Free, Freely available | nlx_155814 | http://www.nitrc.org/projects/mindboggle101 | SCR_002439 | Mindboggle-101 manually labeled brains | 2026-02-16 09:45:51 | 13 | ||||
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UNC Infant 0-1-2 Atlases Resource Report Resource Website 1+ mentions |
UNC Infant 0-1-2 Atlases (RRID:SCR_002569) | UNC Infant 0-1-2 Atlases | data or information resource, atlas | 3 atlases dedicated for neonates, 1-year-olds, and 2-year-olds. Each atlas comprises a set of 3D images made up of the intensity model, tissue probability maps, and anatomical parcellation map. These atlases are constructed with the help of state-of-the-art infant MR segmentation and groupwise registration methods, on a set of longitudinal images acquired from 95 normal infants (56 males and 39 females) at neonate, 1-year-old, and 2-year-old. | analyze, atlas application, linux, macos, microsoft, magnetic resonance, posix/unix-like, infant, pediatric, template, longitudinal, neonate, male, female, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Normal | NIH ; NIBIB EB006733; NIBIB EB008760; NIBIB EB008374; NIBIB EB009634; NIMH MH088520; NIMH MH070890; NIMH MH064065; NINDS NS055754; NICHD HD053000 |
PMID:21533194 | Free, Available for download, Freely available | nlx_155971 | http://www.nitrc.org/projects/pediatricatlas | SCR_002569 | UNC 0-1-2 Infant Atlases | 2026-02-16 09:45:46 | 2 | |||
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Mouse Connectome Project Resource Report Resource Website 10+ mentions |
Mouse Connectome Project (RRID:SCR_004096) | MCP | data or information resource, database, atlas | Three-dimensional digital connectome atlas of the C57Black/6J mouse brain and catalog of neural tracer injection cases, which will eventually cover the entire brain. Serial sections of each case are available to view at 10x magnification in the interactive iConnectome viewer. The Image Gallery provides a glimpse into some of the highlights of their data set. Representative images of multi-fluorescent tracer labeling can be viewed, while more in depth examination of these and all other cases can be performed in the iConnectome viewer. Phase 1 of this project involves generating a physical map of the basic global wiring diagram by applying proven, state of the art experimental circuit tracing methods systematically, uniformly, and comprehensively to the structural organization of all major neuronal pathways in the mouse brain. Connectivity imaging data for the whole mouse brain at cellular resolution will be presented within a standard 3D anatomic frame available through the website and accompanied by a comprehensive searchable online database. A Phase 2 goal for the future will allow users to view, search, and generate driving direction-like roadmaps of neuronal pathways linking any and all structures in the nervous system. This could be looked on as a pilot project for more ambitious projects in species with larger brains, such as human, and for providing a reliable framework for more detailed local circuitry mapping projects in the mouse. | tract tracing assay, adult mouse, connectivity, c57bl/6j, brain, olfactory bulb, piriform cortical area, lateral olfactory tract, connectome, neuronal tract tracing, nissl, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse Biomedical Informatics Research Network is related to: BICCN has parent organization: Laboratory of Neuro Imaging |
NIMH MH094360-01A1; NCRR 3P41RR013642-12S3 |
PMID:22891053 | LONI Software License | nlx_143548 | http://www.nitrc.org/projects/mcp | SCR_004096 | UCLA Mouse Project | 2026-02-16 09:46:11 | 28 | ||||
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Automated Fiber Quantification in Python Resource Report Resource Website 10+ mentions |
Automated Fiber Quantification in Python (RRID:SCR_023366) | pyAFQ | software resource, software toolkit | Software package focused on automated delineation of major fiber tracts in individual human brains, and quantification of tissue properties within the tracts.Software for automated processing and analysis of diffusion MRI data. Automates tractometry. | Automates tractometry, automated delineation of major fiber tracts, individual human brains, quantification of tissue properties, tissue properties within fiber tracts, diffusion MRI data, | NIMH 1RF1MH121868; The BRAIN Initiative ; Gordon and Betty Moore Foundation ; Alfred P. Sloan Foundation ; NIBIB R01EB027585; NSF 1551330 |
PMID:35079748 | Free, Available for download, Freely available | SCR_023366 | 2026-02-16 09:50:29 | 12 | ||||||||
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ABIDE Resource Report Resource Website 100+ mentions |
ABIDE (RRID:SCR_003612) | ABIDE | data set, data or information resource | 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 | 2026-02-16 09:46:14 | 212 | |||||
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Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas Resource Report Resource Website 1+ mentions |
Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas (RRID:SCR_019267) | data or information resource, atlas | Website to visualize and share anatomical labels. Franklin and Paxinos (FP) based anatomical labels in Allen Common Coordinate Framework (CCF). Cell type specific transgenic mice and MRI atlas were used to adjust and further segment labels. New segmentations were created in dorsal striatum using cortico-striatal connectivity data. Anatomical labels were digitized based on Allen ontology, and web-interface was created for easy visualization. These labels provide resource to isolate and identify mouse brain anatomical structures. Open source data sharing will facilitate further refinement of anatomical labels and integration of data interpretation within single anatomical platform. | Anatomical labels, Allen Common Coordinate Framework, Franklin and Paxinos labels, MRI atlas, segment labels, transgenic mice, dorsal striatum, cortico-striatal connectivity data, mouse brain anatomical structure |
is used by: BICCN is related to: Allen Institute for Brain Science |
NIMH R01 MH116176; NINDS R01 NS10 8407; Pennsylvania Department of Health ; NIH Office of the Director R24 OD018559 |
PMID:31699990 | Free, Freely available | SCR_019267 | 2026-02-16 09:49:39 | 2 | ||||||||
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LeafCutter Resource Report Resource Website 10+ mentions |
LeafCutter (RRID:SCR_017639) | software application, data processing software, data analytics software, data analysis software, software resource | 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 | 2026-02-16 09:49:17 | 29 | ||||||||
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Human Reference Protein Interactome Project Resource Report Resource Website 10+ mentions |
Human Reference Protein Interactome Project (RRID:SCR_015670) | HuRI | project portal, database, software resource, portal, web application, data or information resource | 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 | 2026-02-16 09:48:51 | 20 |
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