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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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OSA Resource Report Resource Website 1+ mentions |
OSA (RRID:SCR_002016) | OSA | software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2025. Software application that allows the researcher to evaluate evidence for linkage even when heterogeneity is present in a data set. This is not an unusual occurrence when studying diseases of complex origin. Families are ranked by covariate values in order to test evidence for linkage among homogeneous subsets of families. Because families are ranked, a priori covariate cutpoints are not necessary. Covariates may include linkage evidence at other genes, environmental exposures, or biological trait values such as cholesterol, age at onset, and so on. | gene, genetic, genomic, c++, unix, solaris, linux |
is listed by: Genetic Analysis Software has parent organization: Duke University; North Carolina; USA |
NIMH R01 MH59528 | PMID:18473393 PMID:15185403 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154504 | http://wwwchg.duhs.duke.edu/software/osa.html | SCR_002016 | Ordered Subset Analysis, OSA Program, Ordered Subset Analysis Program | 2026-09-12 01:02:27 | 1 | ||||
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Knowledge Engineering from Experimental Design Resource Report Resource Website 1+ mentions |
Knowledge Engineering from Experimental Design (RRID:SCR_001238) | KEfED | software application, software resource | Knowledge engineering software for reasoning with scientific observations and interpretations. The software has three parts: (a) the KEfED model editor - a design editor for creating KEfED models by drawing a flow diagram of an experimental protocol; (b) the KEfED data interface - a spreadsheet-like tool that permits users to enter experimental data pertaining to a specific model; (c) a "neural connection matrix" interface that presents neural connectivity as a table of ordinal connection strengths representing the interpretations of tract-tracing data. This tool also allows the user to view experimental evidence pertaining to a specific connection. The KEfED model is designed to provide a lightweight representation for scientific knowledge that is (a) generalizable, (b) a suitable target for text-mining approaches, (c) relatively semantically simple, and (d) is based on the way that scientist plan experiments and should therefore be intuitively understandable to non-computational bench scientists. The basic idea of the KEfED model is that scientific observations tend to have a common design: there is a significant difference between measurements of some dependent variable under conditions specified by two (or more) values of some independent variable. | experimental design, observation, interpretation, reasoning, experimental data, observational assertion, knowledge engineering, java |
is listed by: FORCE11 is related to: Bioscholar has parent organization: Biomedical Informatics Research Network |
NIGMS R01-GM083871; NIMH 1R01MH079068-01A2; NCRR 1 U24 RR025736-01 |
PMID:21859449 | Free, Available for download, Freely available | nif-0000-07745 | https://wiki.birncommunity.org/display/NEWBIRNCC/Knowledge+Engineering+from+Experimental+Design+%28%27KEfED%27%29 | SCR_001238 | 2026-09-12 01:02:26 | 1 | |||||
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Spatial Analysis 3D Resource Report Resource Website |
Spatial Analysis 3D (RRID:SCR_002563) | SA3D | software application, software resource | A user-friendly, graphical user interface (GUI) that allows statistical and visual manipulations of real and simulated three-dimensional spatial point patterns. The analyses use files containing sets of X, Y, Z coordinates. These point patterns are frequently coordinates of cells of specific cell classes within in volumes of tissue derived from microscopy analyses. The analyses are scale independent so spatial analyses of coordinates from larger and smaller scale distributions are possible. The software can also generate sample sets of X, Y, Z coordinates for program exploration and modeling purposes. | eeg, meg, electrocorticography, matlab, modeling, magnetic resonance, position, quantification, simulation, statistical operation, cell, microscopy |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Santa Barbara; California; USA |
NIMH MH-069997; NEI EY-011087 |
PMID:18644136 | Free, Available for download, Freely available | nlx_155969 | http://www.nitrc.org/projects/sa3d | SCR_002563 | 2026-09-12 01:02:28 | 0 | |||||
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Neuroimaging Informatics Technology Initiative Resource Report Resource Website 100+ mentions |
Neuroimaging Informatics Technology Initiative (RRID:SCR_003141) | NIfTI | knowledge environment, training resource | Coordinated and targeted service, training, and research to speed the development and enhance the utility of informatics tools related to neuroimaging. The initial focus will be on tools that are used in fMRI. If NIfTI proves useful in addressing informatics issues in the fMRI research community, it may be expanded to address similar issues in other areas of neuroimaging. Objectives of NIfTI * Enhancement of existing informatics tools used widely in neuroimaging research * Dissemination of neuroimaging informatics tools and information about them * Community-based approaches to solving common problems, such as lack of interoperability of tools and data * Unique training activities and research career development opportunities to those in the tool-user and tool-developer communities * Research and development of the next generation of neuroimaging informatics tools | neuroimaging, neuroinformatics, technology, service, training, research, mri, fmri, software, algorithm or reusable library, c, computed tomography, developers, information resource, java, matlab, magnetic resonance, nifti, other information resource, pet, spect, software |
is used by: Stark Cross-Sectional Aging is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: GIFTI has parent organization: National Institute of Mental Health is parent organization of: NIfTI Data Format Working Group |
NIH Blueprint for Neuroscience Research ; NIMH ; NINDS |
Free, Freely available | nif-0000-00561 | http://www.nitrc.org/projects/nifti | http://www.bic.mni.mcgill.ca/nifti/ | SCR_003141 | NIfTI: Neuroimaging Informatics Technology Initiative, Neuroimaging Informatics Technology Initiative (NIfTI) | 2026-09-12 01:02:29 | 349 | ||||
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Patient-Reported Outcomes Measurement Information System Resource Report Resource Website 1000+ mentions |
Patient-Reported Outcomes Measurement Information System (RRID:SCR_004718) | PROMIS | assessment test provider, material resource | Repository of person centered measures that evaluates and monitors physical, mental, and social health in adults and children. | adult, child, assessment, clinical, anger, pain, fatigue, physical function, depression, anxiety, social function, patient reported outcome, health, measure |
is recommended by: National Library of Medicine has parent organization: University of Washington; Seattle; USA |
NCCIH ; NCI ; NHLBI ; NIAMS ; NIA ; NIDA ; NIDCD ; NIDDK ; NIMH ; NINDS ; NINR ; OD |
nlx_143881 | http://www.healthmeasures.net/index.php?option=com_content&view=category&layout=blog&id=71&Itemid=817 | SCR_004718 | PROMIS, Patient Reported Outcomes Measurement Information System | 2026-09-12 01:02:33 | 3303 | ||||||
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KI Biobank - STAR Resource Report Resource Website 1+ mentions |
KI Biobank - STAR (RRID:SCR_005923) | KI Biobank - STAR | biomaterial supply resource, material resource | Large, ongoing, multifactorial study based on nation-wide ascertainment of patients with schizophrenia and bipolar disorder through the Swedish Twin Registry to include both neuroimaging data, neurocognitive function, molecular genetic data and early adverse environmental factors in the same model in a genetic sensitive design. Swedish schizophrenia research will benefit from this large study database of in total 240 affected and healthy twin pairs collected over a 5 year period. The specific aims are: * To elucidate neural endophenotypes for schizophrenia and bipolar disorder and to clarify the extent of overlap in these features between the two syndromes. * To investigate candidate genes and genomic regions for linkage and association with neural endophenotypes for schizophrenia and bipolar disease. * To determine the contributions of adverse prenatal and perinatal conditions to neural changes associated with schizophrenia and bipolar disease. Types of samples * EDTA whole blood * DNA * RNA Number of sample donors: 251 (June 2010) | twin, neuroimaging, environmental factor, environment, gene, endophenotype, behavioral symptom, phenotype, neural endophenotype, genetics, adverse fetal environment, prenatal event, perinatal condition, neurocognitive, mri |
uses: Swedish Twin Registry is listed by: One Mind Biospecimen Bank Listing has parent organization: Karolisnka Biobank |
Schizophrenia, Bipolar Disorder, Healthy, Normal control, Normal twin | NIMH ; Stockholm County Council ; ALF-medel |
nlx_149611 | http://ki.se/forskning/star | http://ki.se/ki/jsp/polopoly.jsp?d=29350&a=36309&l=en | SCR_005923 | Schizophrenia and Bipolar Disorder: Neural endophenotypes genetic liability and adverse fetal environment, KI Biobank - Schizophrenia Twins and Relatives, Schizophrenia Twins and Relatives | 2026-09-12 01:02:35 | 1 | ||||
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LONI MiND Resource Report Resource Website |
LONI MiND (RRID:SCR_004820) | MiND | service resource, software resource | The MiND: Metadata in NIfTI for DWI framework enables data sharing and software interoperability for diffusion-weighted MRI. This site provides specification details, tools, and examples of the MiND mechanism for representing important metadata for DWI data sets at various stages of post-processing. MiND framework provides a practical solution to the problem of interoperability between DWI analysis tools, and it effectively expands the analysis options available to end users. To assist both users and developers in working with MiND-formatted files, we provide a number of software tools for download. * MiNDHeader A utility for inspecting MiND-extended files. * I/O Libraries Programming libraries to simplify writing and parsing MiND-formatted data. * Sample Files Example files for each MiND schema. * DIRAC LONI''s Diffusion Imaging Reconstruction and Analysis Collection is a DWI processing suite which utilizes the MiND framework. | diffusion magnetic resonance imaging, metadata, dwi, dti, software interoperability, data sharing | has parent organization: David Geffen School of Medicine at UCLA; California; USA | NIH ; NCRR ; NIMH ; NCRR 1U54RR021813-01; NIGMS 5T32GM008042-25; NCRR P41 RR013642; NIMH R01 MH71940; NIBIB EB008432; NIBIB EB008281; NIBIB EB007813; NICHD HD050735 |
PMID:20206274 | nlx_143920 | http://mind.loni.ucla.edu/ | SCR_004820 | MiND: Metadata in NIfTI for DWI, Metadata in NIfTI for DWI | 2026-09-12 01:02:33 | 0 | |||||
|
Brain RNA-Seq Resource Report Resource Website 100+ mentions |
Brain RNA-Seq (RRID:SCR_013736) | data or information resource, database | Database containing RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of cerebral cortex. Collection of RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of mouse cerebral cortex. RNA-Seq of cell types isolated from mouse and human brain. | RNAseq, transcriptome, splicing, data, glia, neuron vascular, cell, cerebral, cortex, mouse, human, brain, FASEB list | has parent organization: Stanford University; Stanford; California | NIGMS T32GM007365; NIMH R01MH09955501; NINDS R01NS08170301 |
PMID:25186741 PMID:26687838 |
Free, Freely available | SCR_017483 | http://www.brainrnaseq.org/ | SCR_013736 | Barres Brain RNA-Seq | 2026-09-12 01:02:13 | 156 | |||||
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BALSA Resource Report Resource Website 1+ mentions |
BALSA (RRID:SCR_022960) | BALSA | data or information resource, database | Database for hosting and sharing neuroimaging and neuroanatomical datasets for human and primate species. Includes 1) curated, user created Study datasets, extensively analyzed neuroimaging data associated with published figures/manuscripts, 2) Reference datasets mapped to brain atlas surfaces and volumes in human and nonhuman primates for use as general resources (e.g., published cortical parcellations), and 3) ConnectomeDB powered by BALSA for distributing HCP-Young Adult and related HCP-style processed imaging and phenotypic datasets. Datasets in BALSA may include PMID and/or DOI that links them directly to relevant publications. | Brain Analysis Library, spatial maps and atlases, hosting and sharing neuroimaging and neuroanatomical datasets, human and primate species, neuroimaging data associated with published figures, datasets mapped to brain atlas, Human Connectome Project, HCP |
is used by: BRAIN Initiative Cell Atlas Network is related to: Human Connectome Coordination Facility is related to: Connectome Workbench |
NIMH MH060974; NIMH R01MH060974 |
PMID:27074495 | Free, Freely available | r3d100013646 | https://balsa.wustl.edu/about, https://doi.org/10.17616/R31NJN0U | SCR_022960 | Brain Analysis Library of Spatial maps and Atlases | 2026-09-12 01:02:21 | 8 | ||||
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PyMVPA Resource Report Resource Website 100+ mentions |
PyMVPA (RRID:SCR_006099) | PyMVPA | software application, software resource, software toolkit | A Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run. Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood oxygenation-level dependent (BOLD) signal, have proven successful in identifying anatomical regions based on signal increases during cognitive and perceptual tasks. Recently, researchers have begun to explore new multivariate techniques that have proven to be more flexible, more reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that could provide new insights into the functional properties of the brain. However, unlike the wealth of software packages for univariate analyses, there are few packages that facilitate multivariate pattern classification analyses of fMRI data. This Python-based, cross-platform, open-source software toolbox software toolbox for the application of classifier-based analysis techniques to fMRI datasets makes use of Python's ability to access libraries written in a large variety of programming languages and computing environments to interface with the wealth of existing machine learning packages. | python, machine learning, fmri, eeg, neuroimaging, image analysis, scripting, multivariate pattern analysis, brain, meg, extracellular recording, algorithm, reusable library, analyze, c, console (text based), eeg, meg, electrocorticography, frequency domain, independent component analysis, linear, modeling, magnetic resonance, multivariate analysis, nifti, nonlinear, os independent, pet, spect, principal component analysis, python, regression, spatial transformation, statistical operation, temporal transformation, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: neurodebian is related to: CoSMoMVPA has parent organization: Dartmouth College; New Hampshire; USA has parent organization: Otto-von-Guericke University Magdeburg; Saxony-Anhalt; Germany |
German Academic Exchange Service PPP-USA D/05/504/7; NIMH MH080526; NSF SBE 0751008; James McDonnell Foundation 220020127 |
PMID:19184561 PMID:19212459 PMID:20582270 |
MIT License | nlx_151596 | http://www.nitrc.org/projects/pymvpa | SCR_006099 | Python MVPA, Multivariate Pattern Analysis in Python, PyMVPA - Multivariate Pattern Analysis in Python | 2026-09-12 01:02:35 | 144 | ||||
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NIMH Publications Resource Report Resource Website |
NIMH Publications (RRID:SCR_008846) | NIMH Publications | data or information resource, narrative resource | Publications put out by the National Institute of Mental Health. Publications are available by topic: Disorders: * Attention Deficit Hyperactivity Disorder (ADHD) * Anxiety Disorders * Autism * Bipolar Disorder * Borderline Personality Disorder * Depression * Eating Disorders * Generalized Anxiety Disorder * Obsessive-Compulsive Disorder (OCD) * Panic Disorder * Post-Traumatic Stress Disorder * Schizophrenia * Social Phobia Populations * Older Adults * Men''s Mental Health * Women''s Mental Health * Children and Adolescents Research * Basic Research * Clinical Research and Trials * Research Funding * Mental Health Services Research Other * Coping with Traumatic Events * Genetics * HIV/AIDS * Imaging * Medications * NIMH * Prevention * Statistics * Suicide Prevention * Treatments | spanish, mental health, mental disease, human, booklet, brochure, fact sheet | has parent organization: National Institute of Mental Health | NIMH | nlx_146238 | SCR_008846 | National Institute of Mental Health Publications | 2026-09-12 01:02:38 | 0 | |||||||
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TrumpetPlots Resource Report Resource Website 1+ mentions |
TrumpetPlots (RRID:SCR_023742) | 3d visualization software, data processing software, data visualization software, software application, software resource, software toolkit | Software R package to visualize relationship between allele frequency and effect size in genetic association studies. | genetic association studies, visualization of genetic association studies, allele frequency, effect size, genetics, | Brain and Behavior Research Foundation ; Icahn School of Medicine at Mount Sinai ; NIMH R01 MH122866 |
DOI:10.1101/2023.04.21.23288923 | Free, Available for downlaod, Freely available | https://juditgg.shinyapps.io/shinytrumpets/ | SCR_023742 | 2026-09-12 01:00:42 | 1 | ||||||||
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Allen Brain Cell Atlas Resource Report Resource Website 50+ mentions |
Allen Brain Cell Atlas (RRID:SCR_024440) | atlas, data or information resource, expression atlas | Provides platform for visualizing multimodal single cell data across mammalian brain and aims to empower researchers to explore and analyze multiple whole brain datasets simultaneously. Allen Institute and its collaborators continue to add new modalities, species, and insights to the ABC Atlas. Atlas as part of Brain Knowledge Platform will enable neuroscience community to identify more cell types in brain; Investigate spatial location of cell types; Investigate gene expression and co-expression patterns in cell types; Refine boundaries and knowledge of brain regions defined by gene expression. | visualizing multimodal single cell data across mammalian brain, explore and analyze multiple whole brain datasets, identify cell types in brain, brain regions defined by gene expression, |
has parent organization: Allen Institute is organization facet of: BICCN |
NIMH MH130919 | Free, Freely available | SCR_024440 | Allen Brain Cell (ABC) Atlas, The Allen Brain Cell Atlas, ABC Atlas | 2026-09-12 01:00:47 | 50 | ||||||||
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Harvard - Oxford Cortical Structural Atlas Resource Report Resource Website 100+ mentions |
Harvard - Oxford Cortical Structural Atlas (RRID:SCR_001476) | Atlases | atlas, data or information resource, reference atlas | Probabilistic atlases covering 48 cortical and 21 subcortical structural areas, derived from structural data and segmentations kindly provided by the Harvard Center for Morphometric Analysis. T1-weighted images of 21 healthy male and 16 healthy female subjects (ages 18-50) were individually segmented by the CMA using semi-automated tools developed in-house. The T1-weighted images were affine-registered to MNI152 space using FLIRT (FSL), and the transforms then applied to the individual labels. Finally, these were combined across subjects to form population probability maps for each label. Segmentations used to create these atlases were provided by: David Kennedy and Christian Haselgrove, Centre for Morphometric Analysis, Harvard; Bruce Fischl, the Martinos Center for Biomedical Imaging, MGH; Janis Breeze and Jean Frazier from the Child and Adolescent Neuropsychiatric Research Program, Cambridge Health Alliance; Larry Seidman and Jill Goldstein from the Department of Psychiatry of Harvard Medical School. | male, female, t1-weighted image, cortical, subcortical, neuroanatomy, cortex |
has parent organization: Harvard University; Cambridge; United States is a plug in for: FSL |
Healthy | NCRR R01 RR16594-01A1; NIMH K01 MH01798; NIMH K08 MH01573; NINDS R01 NS052585-01 |
Free, Freely available | nlx_152707 | SCR_001476 | , Harvard Oxford Cortical Structural Atlas, Harvard-Oxford cortical and subcortical structural atlases, Harvard Oxford Atlas | 2026-09-12 01:00:52 | 154 | |||||
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HUDSEN Electronic Atlas of the Developing Human Brain Resource Report Resource Website 1+ mentions |
HUDSEN Electronic Atlas of the Developing Human Brain (RRID:SCR_002056) | EADHB, HUDSEN EADHB | atlas, data or information resource, video resource | Interactive digital atlas and movies comprising 3-D reconstructions at all stages of human development from Carnegie Stage 12 (CS12; ~26 days post conception (dpc)) to CS23 (~ 56 dpc) and anatomical annotations of the 3-D models linked to an anatomical database. The 3D models are generated using Optical Projection Tomography (OPT; Sharpe et al 2002). The digital atlas is also linked to a gene expression database that has been developed from the Edinburgh Mouse Atlas Project gene expression database (EMAGE). In the future, the HUDSEN EADHB aims to provide the wider scientific and medical communities with a dynamic tool for documenting and analyzing gene expression patterns and morphological changes in the developing human brain. | human development, carnegie stage, annotation, optical projection tomography, embryonic human, embryo, 3d, 3d model, brain, gene expression, anatomy, molecular neuroanatomy resource, developing |
is related to: EMAGE Gene Expression Database has parent organization: HUDSEN has parent organization: Newcastle University; Newcastle upon Tyne; United Kingdom |
NIMH R01 MH070370; NICHD HD39928-02 |
PMID:20979583 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-12494 | http://www.ncl.ac.uk/ihg/EADHB/ | SCR_002056 | Electronic Atlas of the Developing Human Brain | 2026-09-12 01:00:53 | 1 | ||||
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Functional Regression Analysis of DTI Tract Statistics Resource Report Resource Website |
Functional Regression Analysis of DTI Tract Statistics (RRID:SCR_002293) | FRATS | data processing software, image analysis software, software application, software resource | Software for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles. | computational neuroscience, imaging genomics, magnetic resonance, regression analysis, dti, statistics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
NSF BCS-08-26844; NCRR UL1-RR025747-01; NIMH MH086633; NIA AG033387; NIMH MH064065; NICHD HD053000; NIMH MH070890; NINDS R01NS055754; NIBIB U54 EB005149-01 |
PMID:20335089 | Academic Free License | nlx_155629 | SCR_002293 | Functional Regression Analysis of DTI | 2026-09-12 01:00:53 | 0 | |||||
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Research Services Branch National Institutes of Mental Health Resource Report Resource Website 500+ mentions |
Research Services Branch National Institutes of Mental Health (RRID:SCR_001633) | RSB | data or information resource, portal | Portal for NIH, NIMH, and NINDS scientific and computer resources including Mac sites, PC sites, Linux sites, intramural programs, intranet and the NIH JumpStart and Directory. | mac, pc, linux |
has parent organization: National Institutes of Health is parent organization of: ImageJ |
NIMH ; NINDS |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156832 | SCR_001633 | Research Services Branch National Institutes of Mental Health National Institutes of Neurological Disorders and Stroke | 2026-09-12 01:00:52 | 560 | ||||||
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DTI-TEMPLATE-RHESUS-MACAQUES Resource Report Resource Website 1+ mentions |
DTI-TEMPLATE-RHESUS-MACAQUES (RRID:SCR_002482) | DTI-TEMPLATE-RHESUS-MACAQUES | atlas, data or information resource, reference atlas | A population-specific DTI template for young adolescent Rhesus Macaque (Macaca mulatta) monkeys using 271 high-quality scans. Using such a large number of animals in generating a template allows it to account for variability in the species. Their DTI template is based on the largest number of animals ever used in generating a computational brain template. It is anticipated that their DTI template will help facilitate voxel-based and tract specific WM analyses in non-human primate species, which in turn may increase our understanding of brain function, development, and evolution. | magnetic resonance, dti, young, adolescent, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Wisconsin-Madison; Wisconsin; USA |
NIMH MH62015; NIMH MH084051; NIMH MH080826; NIMH MH46729; NIMH MH81884; NIMH MH018931; NIBIB R03-EB009321 |
PMID:21803162 | Free, Available for download, Freely available | nlx_155872 | SCR_002482 | 2026-09-12 01:00:53 | 3 | ||||||
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Minian Resource Report Resource Website 1+ mentions |
Minian (RRID:SCR_022601) | data analysis software, data processing software, software application, software resource, software toolkit | Software miniscope analysis pipeline that requires low memory and computational demand so it can be run without specialized hardware. Offers interactive visualization that allows users to see how parameters in each step of pipeline affect output. | Miniscope, analysis pipeline, calcium imaging, mouse, Visualization, OpenBehavior |
is listed by: OpenBehavior has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
NIA F32AG067640; NIBIB R01EB028166; NIDA R21 DA049568; NIMH DP2MH122399; NIMH R01MH120162; NINDS R01 NS116357; NINDS R03 NS111493; NINDS U01NS094286; NSF 1700408; NSF 1926800; NSF 2046583 |
PMID:35642786 | Free, Available for download, Freely available | https://edspace.american.edu/openbehavior/project/minian/ | SCR_022601 | 2026-09-12 01:00:27 | 6 | |||||||
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nTracer Resource Report Resource Website |
nTracer (RRID:SCR_023032) | data processing software, image processing software, software application, software resource | Software tool as plug-in for ImageJ software. Used for tracing microscopic images. | tracing microscopic images | is a plug in for: ImageJ | Michigan miBRAIN initiative ; Multidisciplinary University Research Initiative Army Research Office ; NIAID R01AI130303; NIGMS F31GM116517; NIGMS P41GM10371; NIH Office of the Director DP2OD006514; NIMH P50MH09427; NIMH R01MH110932; NINDS R01NS076467; NINDS R01NS095367; NINDS U01NS090449; NSF NSF-1707316 |
PMID:30715234 | Free, Available for download, Freely available | SCR_023032 | 2026-09-12 01:00:32 | 0 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
