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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
HeuDiConv: a heuristic-centric DICOM converter Resource Report Resource Website 10+ mentions |
HeuDiConv: a heuristic-centric DICOM converter (RRID:SCR_017427) | HeuDiConv | data processing software, software application, software resource | Software tool as flexible DICOM converter for organizing brain imaging data into structured directory layouts. | Flexible, DICOM, converter, organizing, brain, image, data, structured, directory, layout | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | http://www.nitrc.org/projects/heudiconv/ | SCR_017427 | heudiconv, heuristic-centric DICOM converter | 2026-09-12 01:01:05 | 34 | ||||||||
|
Mononucleotide Repeat Frameshift Portal Resource Report Resource Website |
Mononucleotide Repeat Frameshift Portal (RRID:SCR_021125) | MORF | data or information resource, organization portal, portal | Portal devoted to suite of MORF reporter mice labels of Cre positive neurons and glia distributed stochastically throughout brain and can be imaged with endogenous fluorescence (mNeonGreen in MORF1 and EGFP in TIGRE-MORF) or stained for multivalent immunoreporter (Spaghetti Monster fluorescent protein V5, or smFP-V5, in MORF3). MORF technology used to label and reconstruct thousands genetically defined cells per brain for large scale, unbiased classification and quantitative analyses of CNS cell types brainwide. | Sparsely label genetically defined neuronal populations, reporter mouse lines, Cre-dependent sparse cell labeling methodology, MORF stochastic translational switch, integrating molecular, morphological properties, connectomic properties, unbiased classification, neuronal cell types, brain | has parent organization: University of California at Los Angeles; California; USA | PMID:32795398 | Free, Freely available | SCR_021125 | MOnonucleotide Repeat Frameshift, MORF portal | 2026-09-12 01:01:09 | 0 | |||||||
|
zfishbook Resource Report Resource Website 1+ mentions |
zfishbook (RRID:SCR_006896) | zfishbook | biomaterial supply resource, material resource | Collection of revertible protein trap gene-breaking transposon (GBT) insertional mutants in zebrafish with active or cryopreserved lines from initially identified lines. Open to community-wide contributions including expression and functional annotation and represents world-wide central hub for information on how to obtain these lines from diverse members of International Zebrafish Protein Trap Consortium (IZPTC) and integration within other zebrafish community databases including Zebrafish Information Network (ZFIN), Ensembl and National Center for Biotechnology Information. Registration allows users to save their favorite lines for easy access, request lines from Mayo Clinic catalog, contribute to line annotation with appropriate credit, and puts them on optional mailing list for future zfishbook newletters and updates. | gene-breaking transposon, expression-tagged, revertible mutation, gene, transposon, mutation, mutant, brain, muscle, skin, secretory, cardiac, brain line, muscle line, skin line, secretory line, cardiac line, plasmid, expression, functional annotation, gene-breaking transposon line, gene-break transposon mutagenesis, cell line, annotation, embryonic zebrafish, larval zebrafish, bio.tools |
is listed by: One Mind Biospecimen Bank Listing is listed by: Debian is listed by: bio.tools is related to: Addgene is related to: Zebrafish International Resource Center has parent organization: Mayo Clinic Minnesota; Minnesota; USA |
Mayo Clinic Cancer Center ; Mayo Foundation ; NHGRI HG006431; NIDA DA14546; NIGMS GM63904 |
PMID:22067444 | Free, Freely available | biotools:zfishbook, nlx_151613 | https://bio.tools/zfishbook | SCR_006896 | book, z fish book, zfishbook, fish, z | 2026-09-12 01:02:36 | 4 | ||||
|
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 | ||||
|
Center for Computational Biology at UCLA Resource Report Resource Website |
Center for Computational Biology at UCLA (RRID:SCR_000334) | CCB, UCLA CCB, USC CCB | data or information resource, organization portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 31, 2022. Center focused on the development of computational biological atlases of different populations, subjects, modalities, and spatio-temporal scales with 3 types of resources: (1) Stand-alone computational software tools (image and volume processing, analysis, visualization, graphical workflow environments). (2) Infrastructure Resources (Databases, computational Grid, services). (3) Web-services (web-accessible resources for processing, validation and exploration of multimodal/multichannel data including clinical data, imaging data, genetics data and phenotypic data). The CCB develops novel mathematical, computational, and engineering approaches to map biological form and function in health and disease. CCB computational tools integrate neuroimaging, genetic, clinical, and other relevant data to enable the detailed exploration of distinct spatial and temporal biological characteristics. Generalizable mathematical approaches are developed and deployed using Grid computing to create practical biological atlases that describe spatiotemporal change in biological systems. The efforts of CCB make possible discovery-oriented science and the accumulation of new biological knowledge. The Center has been divided into cores organized as follows: - Core 1 is focused on mathematical and computational research. Core 2 is involved in the development of tools to be used by Core 3. Core 3 is composed of the driving biological projects; Mapping Genomic Function, Mapping Biological Structure, and Mapping Brain Phenotype. - Cores 4 - 7 provide the infrastructure for joint structure within the Center as well as the development of new approaches and procedures to augment the research and development of Cores 1-3. These cores are: (4)Infrastructure and Resources, (5) Education and Training, (6) Dissemination, and (7) Administration and Management. The main focus of the CCB is on the brain, and specifically on neuroimaging. This area has a long tradition of sophisticated mathematical and computational techniques. Nevertheless, new developments in related areas of mathematics and computational science have emerged in recent years, some from related application areas such as Computer Graphics, Computer Vision, and Image Processing, as well as from Computational Mathematics and the Computational Sciences. We are confident that many of these ideas can be applied beneficially to neuroimaging. | functional, genetic, biological system, brain, clinical, computational, computational mathematic, disease, health, image processing, physiological, population, structural, neuroimaging, computational neuroscience, imaging genomics, magnetic resonance, pet, spect |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: National Centers for Biomedical Computing has parent organization: Laboratory of Neuro Imaging |
NCRR U54 RR021813 | PMID:22081221 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10492 | http://ccb.loni.ucla.edu/ | http://www.nitrc.org/projects/ccb, http://cms.loni.ucla.edu/CCB/ | SCR_000334 | CCB at UCLA, Center for Computational Biology | 2026-09-12 01:00:51 | 0 | |||
|
International Brain Research Organization Resource Report Resource Website 1+ mentions |
International Brain Research Organization (RRID:SCR_007406) | IBRO | data or information resource, funding resource, organization portal, portal | A central organization that develops, supports, co-ordinates and promotes scientific research in all fields concerning the brain; promotes international collaboration and interchange of scientific information on brain research throughout the world; and provides for and to assist in education and the dissemination of information relating to brain research by all available means. IBRO represents the interests of more than 50,000 neuroscientists around the globe. Over the years, IBRO has set up a number of program to stimulate international contacts in brain research. Symposia and workshops are sponsored on the basis of competitive applications. Under its Publications Programme, IBRO publishes the journal Neuroscience and the annual newsletter IBRO News. IBRO offers post-doctoral fellowships and travel grants to students from less-developed countries. It has run a Neuroscience Schools Programme, organized by the committees of IBROs six Regions, aimed at forming interactive networks among students and teachers during training courses in Africa, Asia, Central and Eastern Europe, Latin America, Western Europe, and the US and Canada. With just three schools in 1999, expansion has been rapid - in 2007 there were 22 schools around the world. | neuroscience, brain | nif-0000-00471 | SCR_007406 | l''Organisation internationale de recherche sur le cerveau | 2026-09-12 01:00:50 | 2 | |||||||||
|
Visible Human Transverse Section Through the Head Resource Report Resource Website |
Visible Human Transverse Section Through the Head (RRID:SCR_001966) | atlas, data or information resource, portal | Portal for learning resources about the brain. It includes information and interactive images of transverse brain sections. | brain, imaging, education, learning | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10547 | SCR_001966 | 2026-09-12 01:00:52 | 0 | ||||||||||
|
Connectir Resource Report Resource Website 1+ mentions |
Connectir (RRID:SCR_000863) | Connectir | data processing software, image analysis software, software application, software resource | An R-based package to conduct brain connectivity analyses with a focus on a novel approach to conducting Connectome-Wide Association Studies (CWAS) using functional connectivity. | console (text based), magnetic resonance, r, connectivity, brain, connectome-wide association study, functional connectivity | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free, Available for download, Freely available | nlx_155729 | http://www.nitrc.org/projects/connectir | SCR_000863 | 2026-09-12 01:00:51 | 1 | |||||||
|
IMPACT: International Mission for Prognosis and Analysis of Clinical Trials in TBI Resource Report Resource Website 1+ mentions |
IMPACT: International Mission for Prognosis and Analysis of Clinical Trials in TBI (RRID:SCR_000539) | IMPACT | data or information resource, portal, project portal | Project focused on advancing knowledge of prognosis, trial design and treatment in Traumatic Brain Injury. IMPACT has developed and validated prognostic models for classification and characterization of TBI series, and participated in development of standardization of data collection in TBI studies. | traumatic brain injury, common data element, clinical research, treatment, head injury, data set, randomized controlled trial, one mind tbi, brain, clinical trial | is parent organization of: IMPACT Prognostic Calculator | Traumatic brain injury | NINDS NS 042691 | nlx_143883 | SCR_000539 | International Mission for Prognosis and Analysis of Clinical Trials in TBI, TBI-IMPACT | 2026-09-12 01:00:51 | 3 | ||||||
|
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 | ||||
|
Tennenbaum Center for the Biology of Creativity Resource Report Resource Website |
Tennenbaum Center for the Biology of Creativity (RRID:SCR_000668) | data or information resource, organization portal, portal | The purpose of this center is to study the molecular, cellular, systems and cognitive mechanisms that result in cognitive enhancements and explain unusual levels of performance in gifted individuals, including extraordinary creativity. Additionally, by understating the mechanisms responsible for enhancements in performance we may be better suited to intervene and reverse disease states that result in cognitive deficits. One of the key topics addressed by the Center is the biological basis of cognitive enhancements, a topic that can be studied in human subjects and animal models. In the past much of the focus in the brain sciences has been on the study of brain mechanisms that degrade cognitive performance (for example, on mutations or other lesions that cause cognitive deficits). The Tennenbaum Center for the Biology of Creativity at UCLA enables an interdisciplinary team of leading scientists to advance knowledge about the biological bases of creativity. Starting with a pilot project program, a series of investigations was launched, spanning disciplines from basic molecular biology to cognitive neuroscience. Because the concept of creativity is multifaceted, initial efforts targeted refinement of the component processes necessary to generate novel, useful cognitive products. The identified core cognitive processes: 1.) Novelty Generation the ability to flexibly and adaptively generate products that are unique; 2.) Working Memory and Declarative Memory the ability to maintain, and then use relevant information to guide goal-directed performance, along with the capacity to store and retrieve this information; and 3.) Response Inhibition the ability to suppress habitual plans and substitute alternate actions in line with changing problem-solving demands. To study the basic mechanisms underlying these complex brain functions we use translational strategies. Starting from foundational studies in basic neuroscience, we forged an interdisciplinary strategy that permits the most advanced techniques for genetic manipulation and basic neurobiological research to be applied in close collaboration with human studies that converge on the same core cognitive processes. Our integrated research program aims to reveal the genetic architecture and fundamental brain mechanisms underlying creative cognition. The work holds enormous promise for both enhancing healthy cognitive performance and designing new treatments for diverse cognitive disorders. Sponsors: The Tennenbaum Center for the Biology of Creativity was inspired by the vision and generosity of Michael Tennenbaum. | generation, genetic, animal, biological, brain, brain science, cellular, cognitive, cognitive deficit, cognitive disorder, cognitive neuroscience, creativity, declarative memory, disease, habitual, human, inhibition, mechanism, memory, model, molecular, molecular biology, neurobiological, performance, response, working memory | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10497 | SCR_000668 | UCLA CBC | 2026-09-12 01:00:51 | 0 | |||||||||
|
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 | ||||||
|
CLIMB Lesion Symptom Mapping Software Resource Report Resource Website 1+ mentions |
CLIMB Lesion Symptom Mapping Software (RRID:SCR_018298) | CLSM | data analysis software, data processing software, software application, software resource | Software package that performs several multivariate and mass univariate lesion symptom mapping analyses. Uses patient imaging lesion masks of brain insults and correlates them in multiple ways with patient behavioral and covariate data. Several permutation based SPMs are computed along with power, variance explained, and lesion coverage maps. | Multivariate analysis, principal component analysis, brain, patient behavioral data, covariate data | NIDCD R01 DC016345; VA Clinical Science Grant |
Free, Available for download, Freely available | SCR_018298 | CLIMB Lesion Symptom Mapping | 2026-09-12 01:00:21 | 2 | ||||||||
|
AGNOSIA APHASIA APRAXIA and Related Terms for Cognitive Behavioral and Neurological Disorders Resource Report Resource Website |
AGNOSIA APHASIA APRAXIA and Related Terms for Cognitive Behavioral and Neurological Disorders (RRID:SCR_005336) | AGNOSIA APHASIA APRAXIA and Related Terms for Cognitive Behavioral and Neurological Disorders | data or information resource, data set, terminological resource | Compilation terms with definitions that describe altered states that are associated with brain injury (e.g., trauma, stroke, tumor) or with developmental deficits. Although the list deals with primarily CNS-associated disorders, in some cases the term does not distinguish between a CNS cause or a peripheral or neuromuscular cause. Terms that are primarily psychiatric diagnoses (e.g., schizophrenia) are not included. AGNOSIA is a general term for a loss of ability to recognize objects, people, sounds, shapes, or smells; that is, the inability to attach appropriate meaning to objective sense-data. It usually is used when the primary sense organ involved is not impaired. APHASIA is a general term relating to a loss of language ability. APRAXIA is a general term for disorders of practice. These conditions are usually caused by brain injury due to trauma, stroke and/or tumor. Many of these terms have two synonymous forms that differ in whether the word starts with a- or with dys- such as alexia and dyslexia. Here the a- form is usually defined and the other is noted as syn:, except when the dys- form is the more common usage. (If you cannot find a term in one of these forms, look for it in the other. All other synonyms are defined in both forms.) Sources: These definitions are paraphrased from definitions in a large number or print and online dictionaries. Thus this list is not meant to be considered my own, but rather is a compilation. Note: When a word appears in italics, that indicates it is defined elsewhere in this list. | brain injury, trauma, stroke, tumor, brain tumor, developmental deficit, brain, central nervous system, definition, craniocerebral trauma, agnosia, aphasia, apraxia, lexicon | has parent organization: University of Colorado; Colorado; USA | nlx_144393 | SCR_005336 | AGNOSIA APHASIA APRAXIA Related Terms for Cognitive Behavioral Neurological Disorders | 2026-09-12 01:00:33 | 0 | ||||||||
|
SBIA Resource Report Resource Website 1+ mentions |
SBIA (RRID:SCR_013628) | SBIA | access service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 2, 2023. A section of the Penn department of radiology, it is devoted to the development of computer-based image analysis methods and their application to clinical research studies. Image analysis methodologies include image registration, segmentation, population-based statistical analysis, biophysical modeling of anatomical deformations, and high-dimensional pattern classification. Clinical research studies spans a variety of clinical areas and organs, and they include brain diseases such as Alzheimer's disease and schizophrenia, evaluation of treatment effects in large clinical trials, diagnosis of cardiac diseases, and diagnosis prostate, breast and brain cancer. SBIA also performs small animal imaging research aiming to understand brain development in mouse models. It has multiple resources which can be accessed by researcher. | effect, alzheimer's, analysis, anatomical, biomedical, biophysical, brain, cancer, breast cancer, cardiac, classification, clinical, computer, deformation, dimensional, disease, method, model, mouse, organ, pattern, prostate, registration, schizophrenia, segmentation, statistical analysis, study, treatment, image | has parent organization: University of Pennsylvania; Philadelphia; USA | THIS RESOURCE IS NO LONGER IN SERVICE. | nif-0000-33052 | SCR_013628 | The Section for Biomedical Image Analysis, Section for Biomedical Image Analysis | 2026-09-12 01:00:36 | 4 | |||||||
|
National Chimpanzee Brain Resource Resource Report Resource Website 10+ mentions |
National Chimpanzee Brain Resource (RRID:SCR_019183) | NCBR | atlas, data or information resource, data repository, portal, service resource, storage service resource | Collection and distribution of chimpanzee neuroimaging data and postmortem brain tissue. Portal to access chimpanzee brain atlas tools, data repository, bibliography of publications, educational information, and links to other chimpanzee brain resources and datasets on the Internet. Serves as repository for in vivo structural MRI scans of chimpanzee brains, in vivo and postmortem diffusion tensor images (DTI), as well as postmortem fixed and frozen brain specimens. | Chimpanzee, Pan Troglodytes, Brain, MRI, DTI, chimpanzee neuroimaging data, postmortem brain tissue, chimpanzee brain atlas |
is related to: George Washington University; Washington D.C.; USA is related to: University of Texas MD Anderson Cancer Center is related to: Yerkes National Primate Research Center |
National Institute of Neurological Disorders and Stroke | Free, Freely available | SCR_019183 | 2026-09-12 12:59:10 | 36 | ||||||||
|
GingerALE Resource Report Resource Website 500+ mentions |
GingerALE (RRID:SCR_014921) | algorithm resource, data analysis software, data processing software, software application, software resource | Software available from brainmap.org to perform meta-analyses via the activation likelihood estimation (ALE) method. It also includes the transforms for icbm2tal conversions. | mri, brain, meta analysis, estimation, icbm2tal, conversion, software, coordinate, algorithm | has parent organization: brainmap.org | PMID:19172646 | Available for download | SCR_014921 | 2026-09-12 12:58:23 | 514 | |||||||||
|
StimVision Resource Report Resource Website 1+ mentions |
StimVision (RRID:SCR_017457) | data processing software, data visualization software, software application, software resource | Software tool to facilitate tractography based deep brain stimulation (DBS) electrode targeting within patient specific stereotactic coordinate system used in operating room. | Tractography, deep, brain, stimulation, BRAIN Initiative | is recommended by: BRAIN Initiative | NIMH R01 MH102238; NIMH R01 MH106173 |
PMID:28653482 | SCR_017457 | Stim Vision, StimVision | 2026-09-12 12:58:53 | 1 | ||||||||
|
The Decoding Toolbox Resource Report Resource Website 10+ mentions |
The Decoding Toolbox (RRID:SCR_017424) | TDT | data analysis software, data processing software, software application, software resource | Software Matlab toolbox for multivariate analysis of functional and structural MRI data. Software package for multivariate analyses of functional imaging data. | Multivariate, analysis, structural, MRI, data, functional, imaging, brain | German Ministry of Education and Research ; German Research Foundation |
PMID:25610393 | Free, Available for download, Freely available | SCR_017424 | 2026-09-12 12:58:52 | 16 | ||||||||
|
Neuroreader Resource Report Resource Website 10+ mentions |
Neuroreader (RRID:SCR_017309) | NeuroreaderTM | data processing software, image processing software, software application, software resource | Software application as image segmentation tool. Brain volumetry assessment software. Processes MRI scans and provides self explanatory patient report with total brain volume, hippocampal volume and volumetric data on key segments of brain measured against healthy database. | Brain, volumetry, assessment | is affiliated with: Brainreader | PMID:26484924 | Restricted | https://brainreader.net/p/product/neuroreader | SCR_017309 | Neuro Reader, Neuroreader | 2026-09-12 12:58:51 | 11 |
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 dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET 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 dkNET then you can log in from here to get additional features in dkNET 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 dkNET 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.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
