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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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MEGSIM Resource Report Resource Website |
MEGSIM (RRID:SCR_002420) | MEGSIM | software resource, simulation software, software application, data or information resource, data set | Realistic simulated MEG datasets ranging from basic sensory to oscillatory sets that mimic functional connectivity; as well as basic visual, auditory, and somatosensory empirical sets. The simulated sets were created for the purpose of testing analysis algorithms across the different MEG systems when the truth is known. MEG baseline recordings were obtained from 5 healthy participants, using three MEG systems: VSM/CTF Omega, Elekta Neuromag Vectorview, 4-D Magnes 3600. Simulated signals were embedded within the CTF and Neuromag 306 baseline recordings (4-D to be added). Participant MRIs are available. Averaged simulation files are available as netcdf files. Neuromag 306 averaged simulations are also available in fif format. Also available: single trials of data where the simulated signal is jittered about a mean value, continuous fif files where the simulated signal is marked by a trigger, and simulations with oscillations added to mimic functional connectivity. | eeg, meg, electrocorticography, forward - inverse, mri, meg modeling, model, simulation, os independent, test data, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Mind Research Network |
NIMH R21MH080141 | PMID:22068921 | Free, Freely available | nlx_155793 | http://www.nitrc.org/projects/megsim | SCR_002420 | 2026-02-12 09:43:22 | 0 | |||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | data repository, service resource, image repository, storage service resource, database, data or information resource, image collection | 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 | 2026-02-12 09:44:00 | 56 | |||||
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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 | clinical trial, topical portal, research forum portal, disease-related portal, data or information resource, 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 | 2026-02-12 09:44:53 | 5 | |||||
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Army STARRS Resource Report Resource Website 1+ mentions |
Army STARRS (RRID:SCR_006708) | Army STARRS | topical portal, research forum portal, disease-related portal, data or information resource, 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 | 2026-02-12 09:44:23 | 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 | software resource, topical portal, data or information resource, portal, 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 | 2026-02-12 09:45:38 | 6 | ||||||
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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, software resource, web application, database, data or information 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 | 2026-02-12 09:46:36 | 20 | |||||||
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MapMyCells Resource Report Resource Website 10+ mentions |
MapMyCells (RRID:SCR_024672) | algorithm resource, software application, software resource, 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: BRAIN Initiative Cell Atlas Network |
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 | 2026-02-12 09:48:02 | 34 | |||||||
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Mindboggle Resource Report Resource Website 100+ mentions |
Mindboggle (RRID:SCR_002438) | Mindboggle | software application, software resource, 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 | 2026-02-12 09:43:22 | 211 | ||||||
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NeuroMab Resource Report Resource Website 1000+ mentions |
NeuroMab (RRID:SCR_003086) | NeuroMab | data or information resource, portal, organization 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 | 2026-02-12 09:43:31 | 1810 | |||||
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CloudReg Resource Report Resource Website |
CloudReg (RRID:SCR_022795) | image analysis software, software application, software resource, data processing software | Software automated, terascale, cloud based image analysis pipeline for preprocessing and cross modal, nonlinear registration between volumetric datasets with artifacts. Automatic terabyte scale cross modal brain volume registration. | brain volume, nonlinear registration, automatic terabyte scale, cross modal brain volume registration, image analysis pipeline, volumetric datasets with artifacts | is used by: BICCN | NIA R01 AG066184; NSF EEC 1707298; NIMH U19MH114821; Kavli Neuroscience Discovery Institute ; Karen Toffler Charitable Trust ; NIMH R01 MH099647; NIMH K08MH113039; NIDA 1K99DA050662; AP Giannini Foundation ; NINDS K99 NS116122; NIA P01AG009973; Johns Hopkins University Kavli Neuroscience Discovery Institute Postdoctoral Fellowship ; Microsoft Research |
PMID:34253927 | Free, Available for download, Freely available | https://github.com/neurodata/CloudReg/ | SCR_022795 | 2026-02-12 09:48:09 | 0 | |||||||
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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, portal, organization 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 | 2026-02-12 09:42:54 | 0 | ||||||
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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 | 2026-02-12 09:43:22 | 13 | ||||
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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 | 2026-02-12 09:43:15 | 1 | ||||||
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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 | 2026-02-12 09:43:24 | 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, atlas, database | 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 | 2026-02-12 09:43:45 | 28 | ||||
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Olfactory Bulb Odor Map DataBase (OdorMapDB) Resource Report Resource Website |
Olfactory Bulb Odor Map DataBase (OdorMapDB) (RRID:SCR_007287) | OdorMapDB | data or information resource, atlas, database | OdorMapDB is designed to be a database to support the experimental analysis of the molecular and functional organization of the olfactory bulb and its basis for the perception of smell. It is primarily concerned with archiving, searching and analyzing maps of the olfactory bulb generated by different methods. The first aim is to facilitate comparison of activity patterns elicited by odor stimulation in the glomerular layer obtained by different methods in different species. It is further aimed at facilitating comparison of these maps with molecular maps of the projections of olfactory receptor neuron subsets to different glomeruli, especially for gene targeted animals and for antibody staining. The main maps archived here are based on original studies using 2-deoxyglucose and on current studies using high resolution fMRI in mouse and rat. Links are also provided to sites containing maps by other laboratories. OdorMapDB thus serves as a nodal point in a multilaboratory effort to construct consensus maps integrating data from different methodological approaches. OdorMapDB is integrated with two other databases in SenseLab: ORDB, a database of olfactory receptor genes and proteins, and OdorDB, a database of odor molecules that serve as ligands for the olfactory receptor proteins. The combined use of the three integrated databases allows the user to identify odor ligands that activate olfactory receptors that project to specific glomeruli that are involved in generating the odor activity maps. | odor, male, urine, mouse, methyl anisole, patchone, indole, helional, butyrophenone, fenchone, olfactory bulb, fmri, rat, odor ligand, olfactory receptor, smell |
is used by: NIF Data Federation has parent organization: Yale University; Connecticut; USA |
Aging | The Human Brain Project ; NIMH ; NIA ; NICD ; NINDS ; Multidisciplinary University Research Initiative ; NIDCD RO1 DC 009977 |
PMID:15067166 | nif-0000-00057 | SCR_007287 | OdorMap DB, Odor Map Database | 2026-02-12 09:44:25 | 0 | |||||
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LeafCutter Resource Report Resource Website 10+ mentions |
LeafCutter (RRID:SCR_017639) | software resource, software application, data analysis software, 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 | 2026-02-12 09:47:12 | 29 | ||||||||
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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, software application, 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 | 2026-02-12 09:46:41 | 1 | |||||||
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Drop-seq tools Resource Report Resource Website 50+ mentions |
Drop-seq tools (RRID:SCR_018142) | software resource, software application, 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 | 2026-02-12 09:46:46 | 94 | |||||||
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UCSC Cell Browser Resource Report Resource Website 100+ mentions |
UCSC Cell Browser (RRID:SCR_023293) | software resource, web service, data access protocol | Web based tool to visualize gene expression and metadata annotation distribution throughout single cell dataset or multiple datasets. Interactive viewer for single cell expression. You can click on and hover over cells to get meta information, search for genes to color on and click clusters to show cluster specific marker genes. | visualize gene expression, metadata annotation distribution, single cell data viewer, cluster specific marker genes, single cell expression, |
is related to: Allen Institute for Brain Science is related to: BRAIN Initiative Cell Atlas Network has parent organization: University of California at Santa Cruz; California; USA |
NHGRI 5U41HG002371; NHGRI 1U41HG010972; NHGRI 5R01HG010329; NIMH U01MH114825; NINDS K99 NS111731; NIMH RF1MH121268; NIMH DP2MH122400; Silicon Valley Community Foundation ; California Institute for Regenerative Medicine ; University of California Office of the President Emergency COVID-19 Research Seed Funding ; Chan Zuckerberg Initiative Foundation ; Simons Foundation ; Brain and Behavior Research Foundation |
PMID:34244710 | Free, Freely available | https://cellbrowser.readthedocs.io/en/master/ https://github.com/maximilianh/cellBrowser |
SCR_023293 | 2026-02-12 09:48:17 | 123 |
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