Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Neuron Tools Resource Report Resource Website 1+ mentions |
Neuron Tools (RRID:SCR_017450) | data processing software, software application, software resource | Software tools for converting data files into persistence diagrams and distance matrices. | Converting, data, file, diagram, distance, matice, BRAIN Initiative | is recommended by: BRAIN Initiative | NIBIB EB022899 | Free, Available for download, Freely available | SCR_017450 | SciCrunch Registry | 2026-10-17 01:33:13 | 3 | |||||||||
|
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 | atlas, data or information resource | 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 | SciCrunch Registry | UNC 0-1-2 Infant Atlases | 2026-10-17 01:32:35 | 2 | |||
|
Adult Wistar Rat Atlas Resource Report Resource Website 1+ mentions |
Adult Wistar Rat Atlas (RRID:SCR_006288) | Adult Wistar Rat Atlas | atlas, data or information resource | Multidimensional atlas of the adult Wistar rat brain based on magnetic resonance histology (MRH). The atlas has been carefully aligned with the widely used Paxinos-Watson atlas based on optical sections to allow comparisons between histochemical and immuno-marker data, and the use of the Paxinos-Watson abbreviation set. Our MR atlas attempts to make a seamless connection with the advantageous features of the Paxinos-Watson atlas, and to extend the utility of the data through the unique capabilities of MR histology: a) ability to view the brain in the skull with limited distortion from shrinkage or sectioning; b) isotropic spatial resolution, which permits sectioning along any arbitrary axis without loss of detail; c) three-dimensional (3D) images preserving spatial relationships; and d) widely varied contrast dependent on the unique properties of water protons. 3D diffusion tensor images (DTI) at what we believe to be the highest resolution ever attained in the rat provide unique insight into white matter structures and connectivity. The 3D isotropic data allow registration of multiple data sets into a common reference space to provide average atlases not possible with conventional histology. The resulting multidimensional atlas that combines Paxinos-Watson with multidimensional MRH images from multiple specimens provides a new, comprehensive view of the neuroanatomy of the rat and offers a collaborative platform for future rat brain studies. To access the atlas, click view supplementary materials in CIVMSpace at the bottom of the following webpage. | magnetic resonance histology, wistar rat, brain, mri, diffusion tensor imaging, histology, magnetic resonance imaging, neuroanatomy, histology | has parent organization: Duke University; North Carolina; USA | NIBIB ; NCRR P41 RR005959 |
PMID:22634863 | Free for academic use, We ask that you provide contact information, Acknowledgement required | nlx_151935 | SCR_006288 | SciCrunch Registry | Multidimensional Magnetic Resonance Histology Atlas of the Wistar Rat Brain | 2026-10-17 01:33:02 | 6 | |||||
|
Annotare Resource Report Resource Website |
Annotare (RRID:SCR_000319) | software application, software resource, standalone software | A software tool for annotating biomedical investigations and the resulting data, then producing a MAGE-TAB file. This software is a standalone desktop which features: an editor function, an annotation modifier, incorporation of terms from biomedical ontologies, standard templates for common experiment types, a design aid to help create a new document, and a validator that checks for syntactic and semantic violations. | biomedical research, magetab, editor, annotation, biomedical ontology | is listed by: OMICtools | NIBIB ; NCI ; NHGRI P41 HG003619 |
PMID:20733062 | Free, Available for download, Freely available | OMICS_00741 | SCR_000319 | SciCrunch Registry | annotare: a tool for annotating high-throughput biomedical investigations and resulting data | 2026-10-17 01:35:38 | 0 | ||||||
|
TARGETgene Resource Report Resource Website 1+ mentions |
TARGETgene (RRID:SCR_001392) | TARGETgene | software application, software resource | MATLAB tool to effectively identify potential therapeutic targets and drugs in cancer using genetic network-based approaches. It can rapidly extract genetic interactions from a precompiled database stored as a MATLAB MAT-file without the need to interrogate remote SQL databases. Millions of interactions involving thousands of candidate genes can be mapped to the genetic network within minutes. While TARGETgene is currently based on the gene network reported in (Wu et al.,Bioinformatics 26:807-813, 2010), it can be easily extended to allow the optional use of other developed gene networks. The simple graphical user interface also enables rapid, intuitive mapping and analysis of therapeutic targets at the systems level. By mapping predictions to drug-target information, TARGETgene may be used as an initial drug screening tool that identifies compounds for further evaluation. In addition, TARGETgene is expected to be applicable to identify potential therapeutic targets for any type or subtype of cancers, even those rare cancers that are not genetically recognized. Identification of Potential Therapeutic Targets * Prioritize potential therapeutic targets from thousands of candidate genes generated from high-throughput experiments using network-based metrics * Validate predictions (prioritization) using user-defined benchmark genes and curated cancer genes * Explore biologic information of selected targets through external databases (e.g., NCBI Entrez Gene) and gene function enrichment analysis Initial Drug Screening * Identify for further evaluation existing drugs and compounds that may act on the potential therapeutic targets identified by TARGETgene * Explore general information on identified drugs of interest through several external links Operating System: Windows XP / Vista / 7 | disease target, drug discovery, drug, matlab, gene network, genetic interaction, gene, drug screening, mutation driver, therapeutic target, drug candidate, compound, mapping, analysis | has parent organization: Biomedical Simulations Resource | Cancer | NIBIB P41-EB001978 | PMID:22952662 | Free, Under the terms of a Release Agreement., Please cite | nlx_152573 | http://bmsr.usc.edu/Software/TARGET/TARGET.html | SCR_001392 | SciCrunch Registry | 2026-10-17 01:33:48 | 8 | ||||
|
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 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30033 | SCR_002926 | SciCrunch Registry | Advanced Neuroscience Imaging Research Software, ANSIR Laboratory Software Packages | 2026-10-17 01:35:41 | 38 | ||||||
|
SPHARM-MAT Resource Report Resource Website 1+ mentions |
SPHARM-MAT (RRID:SCR_002545) | SPHARM-MAT | software application, software resource, software toolkit | A matlab-based 3D shape modeling and analysis toolkit, and is designed to aid statistical shape analysis for identifying morphometric changes in 3D structures of interest related to different conditions. SPHARM-MAT is implemented based on a powerful 3D Fourier surface representation method called SPHARM, which creates parametric surface models using spherical harmonics. | analyze, c, matlab, microsoft, morphology, magnetic resonance, nifti, posix/unix-like, quantification, quantitative shape analysis, shape analysis, shape decomposition, spherical harmonics, surface analysis, win32 (ms windows), windows, parametric surface model, spherical harmonics, 3d, shape modeling, analysis, morphometry |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Indiana University School of Medicine; Indiana; USA |
NIBIB R03EB008674-01 | Free, Available for download, Freely available | nlx_155952 | http://www.nitrc.org/projects/spharm-mat | SCR_002545 | SciCrunch Registry | 2026-10-17 01:35:41 | 2 | ||||||
|
Medical Information Mart for Intensive Care-III Resource Report Resource Website 100+ mentions |
Medical Information Mart for Intensive Care-III (RRID:SCR_017384) | MIMIC-III, MIMIC 3 | data or information resource, database | Collection of comprising deidentified health related data associated with patients who stayed in critical care units of Beth Israel Deaconess Medical Center between 2001 and 2012. Database includes information such as demographics, vital sign measurements made at bedside (~1 data point per hour), laboratory test results, procedures, medications, caregiver notes, imaging reports, and mortality (both in and out of hospital). | deidentified, health-related data, Beth Israel Deaconess Medical Center, , FASEB list | NIBIB | Freely Available, Free, Available for Download | https://physionet.org/users/help/data-sharing/ | SCR_017384 | SciCrunch Registry | , MIMIC-III, MIMIC 3, 3, MIMIC, Medical Information Mart for Intensive Care, Medical Information Mart for Intensive Care-III | 2026-10-17 01:33:41 | 252 | |||||||
|
Mind Research Network - COINS Resource Report Resource Website 10+ mentions |
Mind Research Network - COINS (RRID:SCR_000805) | COINS | data or information resource, data repository, data set, service resource, storage service resource | A web-based neuroimaging and neuropsychology software suite that offers versatile, automatable data upload/import/entry options, rapid and secure sharing of data among PIs, querying and export all data, real-time reporting, and HIPAA and IRB compliant study-management tools suitable to large institutions as well as smaller scale neuroscience and neuropsychology researchers. COINS manages over over 400 studies, more than 265,000 clinical neuropsychological assessments, and 26,000 MRI, EEG, and MEG scan sessions collected from 18,000 participants at over ten institutions on topics related to the brain and behavior. As neuroimaging research continues to grow, dynamic neuroinformatics systems are necessary to store, retrieve, mine and share the massive amounts of data. The Collaborative Informatics and Neuroimaging Suite (COINS) has been created to facilitate communication and cultivate a data community. This tool suite offers versatile data upload/import/entry options, rapid and secure sharing of data among PIs, querying of data types and assessments, real-time reporting, and study-management tools suitable to large institutions as well as smaller scale researchers. It manages studies and their data at the Mind Research Network, the Nathan Kline Institute, University of Colorado Boulder, the Olin Neuropsychiatry Research Center (at) Hartford Hospital, and others. COINS is dynamic and evolves as the neuroimaging field grows. COINS consists of the following collaboration-centric tools: * Subject and Study Management: MICIS (Medical Imaging Computer Information System) is a centralized PostgreSQL-based web application that implements best practices for participant enrollment and management. Research site administrators can easily create and manage studies, as well as generate reports useful for reporting to funding agencies. * Scan Data Collection: An automated DICOM receiver collects, archives, and imports imaging data into the file system and COINS, requiring no user intervention. The database also offers scan annotation and behavioral data management, radiology review event reports, and scan time billing. * Assessment Data Collection: Clinical data gathered from interviews, questionnaires, and neuropsychological tests are entered into COINS through the web application called Assessment Manager (ASMT). ASMT's intuitive design allows users to start data collection with little or no training. ASMT offers several options for data collection/entry: dual data entry, for paper assessments, the Participant Portal, an online tool that allows subjects to fill out questionnaires, and Tablet entry, an offline data entry tool. * Data Sharing: De-identified neuroimaging datasets with associated clinical-data, cognitive-data, and associated meta-data are available through the COINS Data Exchange tool. The Data Exchange is an interface that allows investigators to request and share data. It also tracks data requests and keeps an inventory of data that has already been shared between users. Once requests for data have been approved, investigators can download the data directly from COINS. | mri, fmri, neuropsychological assessment, neuroimaging, diffusion tensor imaging assay, magnetic resonance imaging assay, functional mri assay, diffusion magnetic resonance imaging, magnetoencephalography, electroencephalography, brain, behavior, data sharing, data management, clinical, computed tomography, magnetic resonance, single photon emission computed tomography, positron emission tomography, clinical assessment clinical neuroinformatics, image collection, mri 2d image, database application |
is used by: Consortium for Reliability and Reproducibility is used by: DataLad is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NKI-RS Enhanced Sample has parent organization: Mind Research Network is parent organization of: MCIC |
Aging | NIBIB 1 R01 EB 000840; NIBIB 1 R01 EB 006841; NIBIB 1 R01 EB 005846 |
PMID:22275896 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144067 | http://www.nitrc.org/projects/coins | SCR_000805 | SciCrunch Registry | Mind Research Network - Collaborative Informatics and Neuroimaging Suite, Collaborative Informatics Neuroimaging Suite, Collaborative Informatics and Neuroimaging Suite | 2026-10-17 01:31:04 | 20 | |||
|
TumorSim Resource Report Resource Website 1+ mentions |
TumorSim (RRID:SCR_002604) | simulation software, software application, software resource | 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, Freely available | nlx_156007 | SCR_002604 | SciCrunch Registry | 2026-10-17 01:32:11 | 1 | ||||||
|
DeepNeuro Resource Report Resource Website 1+ mentions |
DeepNeuro (RRID:SCR_016911) | software resource, software toolkit | Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners. | Design and train neural network architectures, medical imaging, neuroimaging data, neuroimaging |
uses: Python Programming Language is related to: Massachusetts General Hospital has parent organization: Harvard University; Cambridge; United States |
NCI U01 CA154601; NCI U24 CA180918; NCI U24 CA180927; NIBIB P41 EB015896; NIBIB T32 EB1680; NIBI ; NIDA R90 DA023427; NIDA T90 DA022759; NIH Blueprint for Neuroscience Research |
PMID:32578020 | Free, Available for download, Freely available | SCR_016911 | SciCrunch Registry | 2026-10-17 01:34:21 | 2 | ||||||||
|
PhysioNet Resource Report Resource Website 500+ mentions |
PhysioNet (RRID:SCR_007345) | PhysioNet | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Collection of dissemination and exchange recorded biomedical signals and open-source software for analyzing them. Provides facilities for cooperative analysis of data and evaluation of proposed new algorithm. Providies free electronic access to PhysioBank data and PhysioToolkit software. Offers service and training via on-line tutorials to assist users at entry and more advanced levels. In cooperation with annual Computing in Cardiology conference, PhysioNet hosts series of challenges, in which researchers and students address unsolved problems of clinical or basic scientific interest using data and software provided by PhysioNet. All data included in PhysioBank, and all software included in PhysioToolkit, are carefully reviewed. Researchers are further invited to contribute data and software for review and possible inclusion in PhysioBank and PhysioToolkit. Please review guidelines before submitting material. | physiologic, physiology, signal, software, research, biomedical, cardiopulmonary, neural, healthy, patient, cardiac, death, congestive heart failure, epilepsy, gait, disorder, sleep apnea, cardioogy, computation, physiologic signal, workspace, time series, FASEB list, DRKB |
is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: DataCite is listed by: re3data.org is listed by: FAIRsharing has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; is parent organization of: CHB-MIT Scalp EEG Database is parent organization of: EEG Motor Movement/Imagery Dataset is parent organization of: Sleep-EDF Database |
Aging | NIBIB ; NIGMS ; NIH EB037545 |
PMID:22256277 PMID:14716615 PMID:14632011 PMID:11446213 PMID:10851218 |
Free, Freely available | r3d100011561, DOI:10.17616/R3D06S, nif-0000-00250, DOI:10.25504/FAIRsharing.bemzxg, DOI:10.13026 | https://doi.org/10.17616/R3D06S, https://doi.org/10.17616/r3d06s, https://doi.org/10.13026/, https://dx.doi.org/10.13026/, https://fairsharing.org/10.25504/FAIRsharing.bemzxg, https://doi.org/10.17616/R3D06S | SCR_007345 | SciCrunch Registry | Physionet: The Research Resource for Complex Physiologic Signals, PhysioNet, PhysioNet: The Research Resource for Complex Physiologic Signals | 2026-10-17 01:31:34 | 841 | |||
|
Open Anatomy Project Resource Report Resource Website |
Open Anatomy Project (RRID:SCR_022141) | data or information resource, portal, project portal | Project aims to change anatomy atlas by building atlases through open data, community based collaborative development, and free distribution of medical knowledge. Provides access to several 2D and 3D browser based tools. | Atlas, Brigham and Women's Hospital in Boston, digital anatomy atlas, open data, community based collaborative development, medical knowledge | NCRR ; NIBIB |
Free, Freely available | SCR_022141 | SciCrunch Registry | The Open Anatomy Project | 2026-10-17 01:32:38 | 0 | |||||||||
|
Center for Imaging of Neurodegenerative Diseases Resource Report Resource Website |
Center for Imaging of Neurodegenerative Diseases (RRID:SCR_001968) | CIND | data or information resource, organization portal, portal | Biomedical technology research center that develops and validates new imaging methods for detecting brain abnormalities in neurodegenerative diseases, including Alzheimer's disease, vascular dementia, frontotemporal dementia, Parkinson's disease, as well as epilepsy, depression, and other conditions associated with nerve loss in the brain. As people around the globe live longer, the impact of neurodegenerative diseases is expected to increase further with dire social and economical consequences for societies if no effective treatments are developed soon. The development at CIND is aimed to improve magnetic resonance imaging (MRI). The ultimate goal of the scientific program is to identify imaging markers that improve accuracy in diagnosing neurodegenerative diseases at early stages, achieve more reliable prognoses of disease progression, and facilitate the discovery of effective treatment interventions. In addition to addressing the general needs for studying neurodegenerative diseases, another focus of CIND concerns brain diseases associated with military service and war combat, such as post traumatic stress disorder (PTSD), brain trauma, gulf war illness and the long-term effects of these conditions on the mental health of veterans. The symbiosis between CIND and the Veterans Administration Medical Center in San Francisco makes this program uniquely suited to serve military veterans. | Biomedical Technology Research Center, depression, mri, imaging, neuroimaging | has parent organization: University of California at San Francisco; California; USA | Neurodegenerative disease, Alzheimer's disease, Vascular dementia, Frontotemporal dementia, Parkinson's disease, Epilepsy, Depressive Disorder, Post-Traumatic Stress Disorder, Brain injury, Gulf war illness | NIBIB | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10539 | http://www.cind.research.va.gov/index.asp | SCR_001968 | SciCrunch Registry | UCSF Center for Imaging of Neurodegenerative Diseases | 2026-10-17 01:31:51 | 0 | ||||
|
Center for Magnetic Resonance Research Resource Report Resource Website 1+ mentions |
Center for Magnetic Resonance Research (RRID:SCR_003148) | CMRR | access service resource, biomedical technology research center, service resource, training resource | Biomedical technology research center that focuses on development of unique magnetic resonance (MR) imaging and spectroscopy methodologies and instrumentation for the acquisition of structural, functional, and biochemical information non-invasively in humans, and utilizing this capability to investigate organ function in health and disease. The distinctive feature of this resource is the emphasis on ultrahigh magnetic fields (7 Tesla and above), which was pioneered by this BTRC. This emphasis is based on the premise that there exists significant advantages to extracting biomedical information using ultrahigh magnetic fields, provided difficulties encountered by working at high frequencies corresponding to such high field strengths can be overcome by methodological and engineering solutions. This BTRC is home to some of the most advanced MR instrumentation in the world, complemented by human resources that provide unique expertise in imaging physics, engineering, and signal processing. No single group of scientists can successfully carry out all aspects of this type of interdisciplinary biomedical research; by bringing together these multi-disciplinary capabilities in a synergistic fashion, facilitating these interdisciplinary interactions, and providing adequate and centralized support for them under a central umbrella, this BTRC amplifies the contributions of each of these groups of scientists to basic and clinical biomedical research. Collectively, the approaches and instrumentation developed in this BTRC constitute some of the most important tools used today to study system level organ function and physiology in humans for basic and translational research, and are increasingly applied world-wide. CMRR Faculty conducts research in a variety of areas including: * High field functional brain mapping in humans; methodological developments, mechanistic studies, and neuroscience applications * Metabolism, bioenergetics, and perfusion studies of human pathological states (tumors, obesity, diabetes, hepatic encephalopathy, cystic fibrosis, and psychiatric disorders) * Cardiac bioenergetics under normal and pathological conditions * Automated magnetic field shimming methods that are critical for spectroscopy and ultrafast imaging at high magnetic fields * Development of high field magnetic resonance imaging and spectroscopy techniques for anatomic, physiologic, metabolic, and functional studies in humans and animal models * Radiofrequency (RF) pulse design based on adiabatic principles * Development of magnetic resonance hardware for high fields (e.g. RF coils, pre-amplifiers, digital receivers, phased arrays, etc.) * Development of software for data analysis and display for functional brain mapping. | mri, imaging, magnetic resonance spectroscopy, clinical, core facility, in vivo, brain mapping | has parent organization: University of Minnesota Twin Cities; Minnesota; USA | NCRR ; NIH Blueprint for Neuroscience Research ; NIBIB ; W. M. Keck Foundation |
Free, Freely available | nif-0000-00563 | SCR_003148 | SciCrunch Registry | NMR Imaging and Localized Spectroscopy | 2026-10-17 01:34:46 | 5 | ||||||
|
National Biomedical Electron Paramagnetic Resonance Center Resource Report Resource Website |
National Biomedical Electron Paramagnetic Resonance Center (RRID:SCR_006601) | National Biomedical EPR Center, EPR Center | biomedical technology research center, training resource | Biomedical technology research center focusing on technological innovation and application of new techniques to biological problems. The main areas of research are free radicals, spin labeling, metal complexes, and metallo proteins. Spectrometers are available for S-, X-, L-, Q- , and W-band EPR, many with ENDOR, ELDOR, saturation-transfer, saturation-recovery, and multiquantum capabilities. * Development of multiquantum Q- and W-band spectrometers, including multiquantum ELDOR, development of time-locked sub-sampling (TLSS) for broadband detection of periodically modulated signals * Development of loop-gap resonators using finite element modeling of Maxwell''s equations * Application of multifrequency (1 to 100 GHz) electron paramagnetic resonance (EPR) to characterize paramagnetic centers * Study of relaxation processes using multifrequency pulse saturation recovery * Use of nitroxide radical spin labels to measure translational and rotational diffusion in biological systems, site-directed spin labeling (SDSL), and use of EPR for the detection of nitric oxide and oxy radicals | spectrometer, electron paramagnetic resonance, free radical, spin labeling, metal complex, metallo protein | has parent organization: Medical College of Wisconsin; Wisconsin; USA | NIBIB | nlx_152655 | SCR_006601 | SciCrunch Registry | National Biomedical EPR | 2026-10-17 01:34:58 | 0 | |||||||
|
MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data or information resource, data set | An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease. | fmri, functional connectivity, resting-state, independent component analysis, connectome, adolescent, adult, mri, resting state network, connectivity, dataset | has parent organization: MIALAB - Medical Image Analysis Lab | Aging | NRC Bilatgrunn ; NIBIB 1R01-EB006841; NIBIB 1R01- EB005846; NIBIB 2R01-EB000840; NIBIB 1 P20 RR021938-01; DOE DE-FG02-08ER64581; NIMH 1R01-MH072681-01; John Templeton Foundation grant 12456; NIAAA 1P20 AA017068; NINDSR21NS064464 ; NIDA1 R03 DA022435-01A1 ; NIDA1 R03 DA024212-01A1 ; NIDA KO1-DA021632-02 |
PMID:21442040 | nlx_151552 | SCR_008914 | SciCrunch Registry | Medical Image Analysis Laboratory - Resting State Data, MIA Laboratory - Resting State Data, Medical Image Analysis Lab - Resting State Data, Medical Image Analysis (MIA) Laboratory - Resting State Data | 2026-10-17 01:36:33 | 10 | ||||||
|
Neuroimage Analysis Center Resource Report Resource Website 1+ mentions |
Neuroimage Analysis Center (RRID:SCR_008998) | NAC | biomedical technology research center, training resource | Biomedical Technology Resource Center that develops image processing and analysis techniques for basic and clinical neurosciences. The NAC research approach emphasizes both specific core technologies and collaborative application projects. The core activity of the center is the development of algorithms and techniques for postprocessing of imaging data. New segmentation techniques aid identification of brain structures and disease. Registration methods are used for relating image data to specific patient anatomy or one set of images to another. Visualization tools allow the display of complex anatomical and quantitative information. High-performance computing hardware and associated software techniques further accelerate algorithms and methods. Digital anatomy atlases are developed for the support of both interactive and algorithmic computational tools. Although the emphasis of the NAC is on the dissemination of concepts and techniques, specific elements of the core software technologies have been made available to outside researchers or the community at large. The NAC's core technologies serve the following major collaborative projects: Alzheimer's disease and the aging brain, morphometric measures in schizophrenia and schizotypal disorder, quantitative analysis of multiple sclerosis, and interactive image-based planning and guidance in neurosurgery. One or more NAC researchers have been designated as responsible for each of the core technologies and the collaborative projects. | brain, neuroimaging, image processing, image analysis, postprocessing, segmentation, registration, algorithm, technique, brain structure, visualization, neurosurgery | has parent organization: Harvard Medical School; Massachusetts; USA | Alzheimer's disease, Aging, Schizophrenia, Schizotypal disorder, Multiple Sclerosis, Neurosurgery | NIBIB P41 EB015902; NCRR P41 RR13218 |
nlx_152643 | SCR_008998 | SciCrunch Registry | Neuroimaging Analysis Center | 2026-10-17 01:34:55 | 8 | ||||||
|
3D Developmental Mouse Brain Common Coordinate Framework Resource Report Resource Website 1+ mentions |
3D Developmental Mouse Brain Common Coordinate Framework (RRID:SCR_025544) | atlas, data or information resource | Open access multimodal 3D atlases of developing mouse brain that can be used to integrate mouse brain imaging data for visualization, education, cell census mapping, and more. Atlas ages include E11.5, E13.5, E15.5, E18.5, P4, P14, and P56. Web platform can be utilized to visualize and explore the atlas in 3D. Downloadable atlas can be used to align multimodal mouse brain data. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system. Anatomical labels are manually drawn in 3D based on the prosomeric model. For additional references, the P56 template includes templates and annotations from the aligned Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) and aligned Molecular Atlas of the Adult Mouse Brain. | multimodal 3D atlases, developing mouse brain, mouse brain data, |
is related to: Allen Mouse Brain Common Coordinate Framework is organization facet of: BRAIN Initiative |
NIBIB R01EB031722; NIMH R01MH116176; NIMH RF1MH12460501; NINDS R01NS108407 |
PMID:37745386 | Free, Freely available | SCR_025544 | SciCrunch Registry | DevCCF | 2026-10-17 01:36:43 | 2 | |||||||
|
NeuronUnit Resource Report Resource Website 1+ mentions |
NeuronUnit (RRID:SCR_015634) | software resource, software toolkit, source code | Software toolkit for data-driven validation of neuron and ion channel models using SciUnit. NeuronUnit implements an interface to several simulators and model description languages, handles test calculations according to domain standards, and enables automated construction of tests based on data from several major public data repositories. | ion channel, neuron, validation, simulation, model description language, modeling software | uses: SciUnit | NIBIB R01EB021711 | Tutorial available | SCR_015634 | SciCrunch Registry | 2026-10-17 01:35:50 | 4 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
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.
