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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Network-based Prediction of Human Tissue-specific Metabolism Resource Report Resource Website 1+ mentions |
Network-based Prediction of Human Tissue-specific Metabolism (RRID:SCR_007392) | data or information resource, data set | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Network visualizations in which the expression and predicted flux data are projected over the global human network. These network visualizations are accessible through the supplemental website using the publicly available Cytoscape software (Cline, Smoot et al. 2007). Since many high degree nodes exist in the network, special layouts are required to produce network visualizations that are readily interpretable. To this end we produced network visualizations in which hub nodes are repeated multiple times and hence layouts with a small number of edge crossings can be generated. Contains entries for brain compartments and brain pathways. | molecular neuroanatomy resource, brain, pathway, tissue-specific metabolism, human, network-based prediction, cytoscape 2.5, tissue-specific metabolic behavior, network visualization, high degree nodes, hub nodes, currency metabolites, cellular-compartments, cellular compartment, metabolite, cytoplasm, extracellular, lysosome, mitochondrion, nucleus, endoplasmic, peroxisome, metabolic flux |
is related to: Cytoscape has parent organization: Tel Aviv University; Ramat Aviv; Israel |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00431 | SCR_007392 | Network-based Prediction of Human Tissue-specific Metabolism | 2025-05-06 11:05:00 | 1 | ||||||||
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National Institutes of Health Stem Cell Tables Resource Report Resource Website |
National Institutes of Health Stem Cell Tables (RRID:SCR_008359) | NIH Stem Cells | data or information resource, data set | Data tables providing an overview of information about stem cells that have been derived from mice and humans. The tables summarize published research that characterizes cells that are capable of developing into cells of multiple germ layers (i.e., multipotent or pluripotent) or that can generate the differentiated cell types of another tissue (i.e., plasticity) such as a bone marrow cell becoming a neuronal cell. The tables do not include information about cells considered progenitor or precursor cells or those that can proliferate without the demonstrated ability to generate cell types of other tissues. The tables list the tissue from which the cells were derived, the types of cells that developed, the conditions under which differentiation occurred, the methods by which the cells were characterized, and the primary references for the information. | ectoderm, endoderm, adipocyte, astrocyte, bone marrow, brain, cardiac, chondrocyte, differentiation, germ layer, hematopoietic stem cell, human, liver, mesenchymal stem cell, mesoderm, mouse, muscle, neuron, neuronal, osteoblast, pancreas, plasticity, platelet, red blood cell, skeletal, skin, spinal cord, neural stem cell, tenocyte, tissue, white blood cell, stem cell, multipotent stem cell, pluripotent stem cell, embryonic stem cell, embryonic primordial germ cell, primordial germ cell, neural progenitor cell, mesenchymal progenitor cell | has parent organization: National Institutes of Health | NIH | nif-0000-25459 | http://stemcells.nih.gov/info/scireport/appendixD.asp | SCR_008359 | 2025-05-06 11:06:08 | 0 | |||||||
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Brain Segmentation Testing Protocol Resource Report Resource Website |
Brain Segmentation Testing Protocol (RRID:SCR_009445) | Brain Segmentation Testing Protocol | data or information resource, data set | A free collection of MRI brain images for testing segmentation algorithms. It is available for download to assess the accuracy, reproducibility and sensitivity of MRI segmentation software. It includes data from infants and adults as well as patients with Alzheimer's disease. | analyze, magnetic resonance, nifti, oasis, segmentation, software, test data, image collection, mri, segmentation software, infant, adult human, child, alzheimer's disease, brain imaging, data set, research, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: King's College London; London; United Kingdom |
PMID:21835253 | Available for download | nlx_155588 | SCR_009445 | 2025-05-06 11:06:41 | 0 | |||||||
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EEG time series Data Sets Resource Report Resource Website 1+ mentions |
EEG time series Data Sets (RRID:SCR_001579) | EEG time series data | data or information resource, data set | Five data sets containing quasi-stationary, artifact-free EEG signals both in normal subjects and epileptic patients were put in the web by Ralph Andrzejak from the Epilepsy center in Bonn, Germany. Each data set contains 100 single channel EEG segments of 23.6 sec duration. | eeg, time series, brain, electrical activity, eyes closed, eyes open, intracranial, eeg recording, epileptic seizure |
is related to: Neural Cipher has parent organization: Pompeu Fabra University; Barcelona; Spain |
Epilepsy, Normal | PMID:11736210 | Acknowledgement required, Free, For research and education purposes only, Non-commercial | nlx_153816 | http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3&changelang=3 | SCR_001579 | 2025-05-06 10:59:49 | 1 | |||||
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Beijing: Short TR Study Resource Report Resource Website 1+ mentions |
Beijing: Short TR Study (RRID:SCR_003502) | Beijing Short TR | data or information resource, data set | Dataset of resting state fMRI scans obtained using two different TR's in healthy college-aged volunteers. Specifically, for each participant, data is being obtained with a short TR (0.4 seconds) and a long TR (2.0 seconds). In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 8-minute resting-state fMRI scan (TR = 2 seconds, # repetitions = 240) * 8-minute resting-state fMRI scans (TR = 0.4 seconds, # repetitions = 1200) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information | nifti, fmri, resting-state fmri, image collection, early adult human, mprage, diffusion tensor imaging, neuroimaging, brain, demographic |
has parent organization: Beijing Normal University; Beijing; China has parent organization: 1000 Functional Connectomes Project |
Healthy | National Natural Science Foundation of China 30770594; National High Technology Program of China 2008AA02Z405 |
Creative Commons Attribution-NonCommercial License | nlx_157642 | SCR_003502 | Beijing Normal University State Key Laboratory of Cognitive Neuroscience and Learning Short TR Sample, BNU Short TR Sample | 2025-05-06 11:01:37 | 6 | |||||
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NYU Institute for Pediatric Neuroscience Sample Resource Report Resource Website |
NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) | NYU IPN Sample, NYUIQ | data or information resource, data set | Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first. | adult human, young human, intelligence quotient, child, adolescent, clinical, resting state fmri, t1-weighted, mprage, diffusion tensor imaging, fsiq, viq, piq, neuroimaging, brain, image collection |
has parent organization: 1000 Functional Connectomes Project has parent organization: New York University; New York; USA |
Neurotypical, Aging | Autism Speaks ; Stavros Niarchos Foundation ; Leon Levy Foundation ; Phyllis Green and Randolph Cwen ; NIMH R01MH083246 |
Creative Commons Attribution-NonCommercial License | nlx_157644 | SCR_010458 | NYU Phyllis Green and Randolph Cwen Institute for Pediatric Neuroscience Sample | 2025-05-06 11:07:25 | 0 | |||||
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Virginia Tech Carilion Research Institute Sample Resource Report Resource Website |
Virginia Tech Carilion Research Institute Sample (RRID:SCR_010459) | VTCRI Sample | data or information resource, data set | Dataset including a T1 weighted anatomical image as well as two 10-minute resting state scans acquired during the same session from 25 psychiatrically screened healthy adults (community sample) ranging in age from 18 to 65 years old, with age, sex, education level, and ethnicity provided. Some subjects also returned several weeks after the first scan for a second scanning session. The number of days between scan sessions, for subjects that had two sessions, is indicated in the demographics spreadsheet. The study scanning protocol included: # 13 sec localizer # 4 minute 38 second T1 weighted anatomical # Subject given instructions for resting state scan #1 # 10 minute 4 second resting state scan #1 # Subject given instructions for resting state scan #2 # 10 minute 4 second resting state scan #2 Scanning was performed on one of three different 3T Siemens TIM TRIOs at the Human Neuroimaging Lab at Baylor College of Medicine in Houston, Texas. All scans were acquired using the standard Siemen''s TIM 12-channel head matrix. The resting state scans were acquired with a custom sequence that is a slight modification to the standard Siemen''s EPI sequence that supports real-time fMRI. Images were acquired slightly oblique to minimize dephasing in the orbito-frontal cortex. Detailed scanning parameters are included in separate .pdf files. | resting state fmri, t1-weighted, mprage, adult human, early adult human, late adult human, middle adult human, image collection, neuroimaging, brain, demographic, fmri, aging |
has parent organization: 1000 Functional Connectomes Project has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
Healthy | Creative Commons Attribution-NonCommercial License | nlx_157645 | SCR_010459 | Virginia Tech CRI Sample | 2025-05-06 11:07:25 | 0 | ||||||
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Virtual brain Resource Report Resource Website 10+ mentions |
Virtual brain (RRID:SCR_002249) | tvb | software resource, software application, simulation software | A simulation software for modeling the entire human brain by combining structural and functional data from empirical neuroimaging data. It can generate local field potentials, EEG, MEG and fMRI BOLD data based on neural mass models. The user can also modify the model parameters to match clinical conditions from focal lesions or degenerative disorders. | dti, simulation, modeling, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Toronto; Ontario; Canada |
James S. McDonnell Foundation | PMID:23442172 PMID:23774395 |
GNU General Public License v2 | nlx_155567 | http://www.nitrc.org/projects/tvb | SCR_002249 | thevirtualbrain.org, The Virtual Brain, thevirtualbrain | 2025-05-12 11:04:14 | 37 | ||||
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Ikaros Project Resource Report Resource Website 50+ mentions |
Ikaros Project (RRID:SCR_007391) | software resource, software application, simulation software | Ikaros is an open infrastructure for system level modeling of the brain including databases of experimental data, computational models and functional brain data. The system makes heavy use of the emerging standards for Internet based information and makes all information accessible through an open web-based interface. In addition, Ikaros can be used as a control architecture for robots which in the extension will lead to the development of a brain inspired robot architecture. The main components of the Ikaros systems are: a platform independent simulation kernel; a set of computational brain models; a set of I/O modules for interfacing with data files and peripheral such as robots or video cameras; tools for building systems of interconnected models; a plug-in architecture that allows new models to be easily added to the system; and a database with data from learning experiments that can be used for validation of the computational models. | model, computational neuroscience, brain, robot, simulation, FASEB list |
is listed by: 3DVC has parent organization: Lund University; Lund; Sweden |
nif-0000-00426 | SCR_007391 | Ikaros | 2025-05-12 11:09:14 | 79 | |||||||||
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Brian Simulator Resource Report Resource Website 10+ mentions |
Brian Simulator (RRID:SCR_002998) | Brian | software resource, software application, simulation software | Software Python package for simulating spiking neural networks. Useful for neuroscientific modelling at systems level, and for teaching computational neuroscience. Intuitive and efficient neural simulator. | simulation, spiking, neuron, brain, communication, modelling, computational neuroscience, python, spiking neuron, neural network |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Ecole Normale Superieure; Paris; France |
European Union ; French National Research Agency ; CNRS ; Ecole Normale Superieure; Paris; France |
DOI:10.7554/eLife.47314 DOI:10.3389/neuro.01.026.2009 DOI:10.7554/eLife.47314 |
Acknowledgement requested | nif-0000-30223 | http://www.nitrc.org/projects/brian | SCR_002998 | Brian 2, Brian spiking neural network simulator, Brian2 | 2025-05-12 11:04:56 | 23 | ||||
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TumorSim Resource Report Resource Website 1+ mentions |
TumorSim (RRID:SCR_002604) | software resource, software application, simulation software | Simulation software that generates pathological ground truth from a healthy ground truth. The software requires an input directory that describes a healthy anatomy (anatomical probabilities, mesh, diffusion tensor image, etc) and then outputs simulation images. | clinical neuroinformatics, magnetic resonance, mri, brain, segmentation, simulation, tumor, ground truth |
uses: BrainWeb - Simulated Brain Database is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Utah; Utah; USA |
Cancer | NIBIB R01 EB000219 | PMID:19119055 | Free, Available for download | nlx_156007 | SCR_002604 | 2025-05-12 11:04:37 | 1 | ||||||
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DPARSF Resource Report Resource Website 500+ mentions |
DPARSF (RRID:SCR_002372) | DPARSF | software resource, software toolkit, software application, data processing software | A MATLAB toolbox forpipeline data analysis of resting-state fMRI that is based on Statistical Parametric Mapping (SPM) and a plug-in software within DPABI. After the user arranges the Digital Imaging and Communications in Medicine (DICOM) files and click a few buttons to set parameters, DPARSF will then give all the preprocessed (slice timing, realign, normalize, smooth) data and results for functional connectivity, regional homogeneity, amplitude of low-frequency fluctuation (ALFF), fractional ALFF, degree centrality, voxel-mirrored homotopic connectivity (VMHC) results. DPARSF can also create a report for excluding subjects with excessive head motion and generate a set of pictures for easily checking the effect of normalization. In addition, users can also use DPARSF to extract time courses from regions of interest. DPARSF basic edition is very easy to use while DPARSF advanced edition (alias: DPARSFA) is much more flexible and powerful. DPARSFA can parallel the computation for each subject, and can be used to reorient images interactively or define regions of interest interactively. Users can skip or combine the processing steps in DPARSF advanced edition freely. | magnetic resonance, fmri, resting-state fmri, matlab, analysis, brain |
is used by: DPABI is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Beijing Normal University; Beijing; China has parent organization: RFMRI.ORG |
PMID:20577591 | GNU General Public License | nlx_155735 | http://www.nitrc.org/projects/dparsf | SCR_002372 | Data Processing Assistant for Resting-State fMRI | 2025-05-12 11:04:23 | 512 | |||||
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Mindboggle Resource Report Resource Website 100+ mentions |
Mindboggle (RRID:SCR_002438) | Mindboggle | software resource, software application, data processing software | Mindboggle (http://mindboggle.info) is open source software for analyzing the shapes of brain structures from human MRI data. The following publication in PLoS Computational Biology documents and evaluates the software: Klein A, Ghosh SS, Bao FS, Giard J, Hame Y, Stavsky E, Lee N, Rossa B, Reuter M, Neto EC, Keshavan A. (2017) Mindboggling morphometry of human brains. PLoS Computational Biology 13(3): e1005350. doi:10.1371/journal.pcbi.1005350 | analyze, anatomic, atlas application, console (text based), labeling, python, magnetic resonance, os independent, region of interest, segmentation, brain, label, mri, anatomy, cerebral cortex, human brain, parcellation, morphometry, shape measures, cortical thickness, cortical depth, Laplace-Beltrami spectra, Zernike moments | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | NIMH MH084029-02 | Apache License, v2 | nlx_155813 | http://www.nitrc.org/projects/mindboggle | SCR_002438 | 2025-05-12 11:04:29 | 163 | ||||||
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TRACULA Resource Report Resource Website 10+ mentions |
TRACULA (RRID:SCR_013152) | TRACULA | software resource, software application, data processing software | Software tool developed for automatically reconstructing a set of major white matter pathways in the brain from diffusion weighted images using probabilistic tractography. This method utilizes prior information on the anatomy of the pathways from a set of training subjects. By incorporating this prior knowledge in the reconstruction procedure, our method obviates the need for manual intervention with the tract solutions at a later stage and thus facilitates the application of tractography to large studies. The trac-all script is used to preprocess raw diffusion data (correcting for eddy current distortion and B0 field inhomogenities), register them to common spaces, model and reconstruct major white matter pathways (included in the atlas) without any manual intervention. trac-all may be used to execute all the above steps or parts of it depending on the dataset and user''''s preference for analyzing diffusion data. Alternatively, scripts exist to execute chunks of each processing pipeline, and individual commands may be run to execute a single processing step. To explore all the options in running trac-all please refer to the trac-all wiki. In order to use this script to reconstruct tracts in Diffusion images, all the subjects in the dataset must have Freesurfer Recons. | tractography, white matter tract, white matter pathway, diffusion weighted image, diffusion magnetic resonance imaging, white matter, brain, reconstruct, diffusion tensor imaging |
is related to: FreeSurfer has parent organization: Harvard Medical School; Massachusetts; USA |
Aging | NIH Blueprint for Neuroscience Research ; Ellison Medical Foundation ; NIBIB EB008129; NIMH U01-MH093765; NCRR P41-RR14075; NCRR U24-RR021382; NIBIB R01-EB006758; NIA R01-AG022381; National Center for Complementary and Alternative Medicine RC1-AT005728; NINDS R01-NS052585; NINDS R21-NS072652; NINDS R01-NS070963 |
PMID:22016733 | nlx_143919 | SCR_013152 | TRACULA - TRActs Constrained by UnderLying Anatomy, TRACULA: TRActs Constrained by UnderLying Anatomy, TRActs Constrained by UnderLying Anatomy | 2025-05-12 11:14:31 | 15 | |||||
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Registration Software Mitra Lab Resource Report Resource Website |
Registration Software Mitra Lab (RRID:SCR_018353) | software resource, software application, data processing software | Software package to align brain slice images in atlas free manner. | Align, brain, brain slice, brain slice image, atlas free manner | Free, Available for download, Freely available | SCR_018353 | 2025-05-12 11:19:51 | 0 | |||||||||||
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FSL Resource Report Resource Website 1000+ mentions |
FSL (RRID:SCR_002823) | software resource, software toolkit, software library | Software library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. Include registration, atlases, diffusion MRI tools for parameter reconstruction and probabilistic taractography, and viewer. Several brain atlases, integrated into FSLView and Featquery, allow viewing of structural and cytoarchitectonic standard space labels and probability maps for cortical and subcortical structures and white matter tracts. Includes Harvard-Oxford cortical and subcortical structural atlases, Julich histological atlas, JHU DTI-based white-matter atlases, Oxford thalamic connectivity atlas, Talairach atlas, MNI structural atlas, and Cerebellum atlas. | dti, brain, imaging, data, structural, mri, diffusion, function, preprocessing, analysis, statistical, tractography, atlas, neuroimaging, parameter, reconstruction, volumetric, segmentation, independent, component, temporal, transformation |
uses: Neuroimaging Data Model is used by: Spinal Cord Toolbox is used by: Functional Real-time Interactive Endogenous Neuromodulation and Decoding (FRIEND) is used by: XFSL: An FSL toolbox is used by: CMIND PY lists: SUSAN lists: FUGUE lists: Miscvis lists: BayCEST lists: ICA-PNM is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: SoftCite is related to: Rodent Brain Extraction Tool is related to: Human Connectome Coordination Facility is related to: BASH4RfMRI is related to: DW-MRI registration in FSL is related to: FSL extensions is related to: Diffusion MRI of Traumatic Brain Injury is related to: Segmentation of Hippocampus Subfields is related to: masked ICA (mICA) Toolbox has parent organization: University of Oxford; Oxford; United Kingdom has plug in: Multivariate Exploratory Linear Optimized Decomposition into Independent Components has plug in: FMRI Expert Analysis Tool has plug in: FABBER has plug in: BASIL has plug in: VERBENA has plug in: Brain Extraction Tool has plug in: FMRIB's Automated Segmentation Tool has plug in: FMRIB’s Integrated Registration and Segmentation Tool has plug in: Harvard - Oxford Cortical Structural Atlas has plug in: FMRIB's Linear Image Registration Tool has plug in: FNIRT has plug in: FSLVBM has plug in: SIENA has plug in: SIENAX has plug in: Multimodal Image Segmentation Tool has plug in: Brain Intensity AbNormality Classification Algorithm has plug in: Multimodal Surface Matching has plug in: fsl_anat has plug in: FMRIB's Diffusion Toolbox has plug in: Tract Based Spatial Statistics has plug in: XTRACT has plug in: eddy has plug in: topup has plug in: eddyqc has plug in: randomise has plug in: PALM has plug in: fsl-cluster has plug in: FDR has plug in: DualRegression has plug in: FLOBS has plug in: FSLeyes has plug in: Fslutils has plug in: Atlasquery has plug in: MCFLIRT has plug in: POSSUM has plug in: FSL-MRS |
EPSRC ; MRC ; BBSRC ; GlaxoSmithKline ; Pfizer |
PMID:21979382 PMID:19059349 PMID:15501092 |
Free, Available for download, Freely available | nif-0000-00305, birnlex_2067, SCR_007368 | http://www.nitrc.org/projects/fsl http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/ https://sources.debian.org/src/fsl/ |
SCR_002823 | , FMRIB Software Library, fMRIB Software Library, Functional Magnetic Resonance Imaging of the Brain Software Library | 2025-05-13 11:12:35 | 4449 | |||||
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studyforrest.org Resource Report Resource Website 10+ mentions |
studyforrest.org (RRID:SCR_003112) | studyforrest.org | image repository, storage service resource, data repository, service resource | An MRI data repository that holds a set of 7 Tesla images and behavioral metadata. Multi-faceted brain image archive with behavioral measurements. For each participant a number of different scans and auxiliary recordings have been obtained. In addition, several types of minimally preprocessed data are also provided. The full description of the data release is available in a dedicated publication. This project invites anyone to participate in a decentralized effort to explore the opportunities of open science in neuroimaging by documenting how much (scientific) value can be generated out of a single data release by publication of scientific findings derived from a dataset, algorithms and methods evaluated on this dataset, and/or extensions of this dataset by acquisition and integration of new data. | neuroimaging, open data, brain, brain scan, fmri, stimulus material, participant demographic, stimulus, demographic, experimental protocol, structure mri, mri, 7-tesla, data set, auditory system, language, perception |
uses: OpenNeuro uses: rsync uses: XNAT - The Extensible Neuroimaging Archive Toolkit is used by: NIF Data Federation is listed by: NITRC-IR is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Otto-von-Guericke University Magdeburg; Saxony-Anhalt; Germany |
BMBF 01GQ1112; BMBF 01GQ1411; NSF 1129855; DFG PO 548/15-1 |
ODC Public Domain Dedication and License, Acknowledgement requested | nlx_156710 | http://www.nitrc.org/projects/studyforrest | SCR_003112 | study forrest, studyforrest | 2025-05-13 11:12:39 | 33 | |||||
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Niftilib Resource Report Resource Website 1+ mentions |
Niftilib (RRID:SCR_003355) | Niftilib | software resource, software toolkit, source code, software library | Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future. Niftilib has been developed by members of the NIFTI DFWG and volunteers in the neuroimaging community and serves as a reference implementation of the nifti-1 file format. In addition to being a reference implementation, we hope it is also a useful i/o library. Niftilib code is released into the public domain, developers are encouraged to incorporate niftilib code into their applications, and, to contribute changes and enhancements to niftilib. Please contact us if you would like to contribute additonal functionality to the i/o library. | image data, mri, fmri, brain image, image, brain, neuroimaging |
is related to: NIfTI Data Format Working Group has parent organization: SourceForge |
nif-0000-32011 | SCR_003355 | The Nifti Libraries, Nifti Libraries | 2025-05-13 11:12:45 | 3 | ||||||||
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LONI Image and Data Archive Resource Report Resource Website 50+ mentions |
LONI Image and Data Archive (RRID:SCR_007283) | IDA, LONI IDA, | data or information resource, database, image collection | Archive used for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities. | data storage, mri, pet, mra, dti, neuroimaging, image storage, histology, fmri, spect, normal, control, alzheimer's disease, mild cognitive impairment, data sharing, clinical, protection, brain, cryosection, FASEB list |
is recommended by: National Library of Medicine is listed by: NIH Data Sharing Repositories |
Control, Autism, Parkinson's disease, Alzheimer's disease, Mild Cognitive Impairment, Normal control, Aging | NIBIB | Restricted | nif-0000-00040 | https://ida.loni.usc.edu/login.jsp?search=true | https://ida.loni.ucla.edu/login.jsp | SCR_007283 | , IDA, LONI Database, LONI, Image Data Archive | 2025-05-13 11:14:26 | 73 | |||
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Advanced Neuroscience Imaging Research Laboratory Software Packages Resource Report Resource Website 10+ mentions |
Advanced Neuroscience Imaging Research Laboratory Software Packages (RRID:SCR_002926) | ANSIR Software | software resource, software toolkit | Research group based in the Department of Radiology of Wake Forest University School of Medicine devoted to the application of novel image analysis methods to research studies. The ANSIR lab also maintains a fully-automated functional and structural image processing pipeline supporting the image storage and analysis needs of a variety of scientists and imaging studies at Wake Forest. Software packages and toolkits are currently available for download from the ANSIR Laboratory, including: WFU Biological Parametric Mapping Toolbox, WFU_PickAtlas, and Adaptive Staircase Procedure for E-Prime. | multimodal, image, analysis, biological, parametric, mapping, voxel, linear, model, regressor, software, matlab, visualization, statistical, inference, in vivo, brain imaging, brain | has parent organization: Wake Forest School of Medicine; North Carolina; USA | NIBIB R01EB004673; NIBIB 1R03EB008670 |
Public, Free, Software contains license agreement | nif-0000-30033 | SCR_002926 | Advanced Neuroscience Imaging Research Software, ANSIR Laboratory Software Packages | 2025-05-12 11:04:52 | 36 |
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