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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Kymata Atlas Resource Report Resource Website 1+ mentions |
Kymata Atlas (RRID:SCR_000269) | data or information resource, atlas | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. An online atlas of neural function, maintained by Cambridge University and the MRC Cognition and Brain Sciences Unit (CBSU). | data visualization software, database, adult human, brain, function, computational model, sensory information, post-synaptic dendritic current |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Cambridge; Cambridge; United Kingdom has parent organization: MRC Cognition and Brain Sciences Unit |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_158115 | http://www.nitrc.org/projects/kymata_atlas | SCR_000269 | 2026-08-05 10:43:08 | 1 | ||||||||
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Neuroanatomy Atlas Resource Report Resource Website |
Neuroanatomy Atlas (RRID:SCR_002402) | Neuroanatomy Atlas | data or information resource, atlas | Annotated magnetic resonance brain images, both slices and surface views, normalized to Talairach space, along with annotations and a nice tutorial on image normalization. A viewer for MRI images (MRicro) is available and is described in a separate entry. Series of coronal, axial and sagittal brain slices along with some rendered volumes with major brain structures delineated. Slices are presented as static series with partial overlap of slices, so they are not suitable for 3d reconstruction. This neuroanatomy atlas shows regions on normalized MRI scans. Normalization is the process of warping a brain to match a standard size, orientation and shape of other brains. You can normalize MRI scans using programs like AIR, FLIRT or SPM. Once normalized, the overall shape of your MRI scan will approximately match those in this atlas. However, normalization preserves the unique sulcal features of each brain, so there will be some variation between your image and the images shown in this atlas. There is a great deal of individual variability even after normalization, so any atlas is only a rough guide to the shape and location of structures in an individuals brain. As I have noted before, secondary and tertiary sulci are not found in all individuals (Ono et al. 1990, Atlas of Cerebral Sulci). Another benefit of normalizing brains is it makes it easy to complete an accurate "scalp stripping" with brain extracting software (my MRIcro software implements Steve Smith's BET for this task). You can then create a useful volume rendering of the cortical surface. Typically, it is much easier to identify cortical sulci and gyri by looking at a rendered image of the brain's surface. This atlas shows you how to recognize these landmarks on a rendered MRI scan. | magnetic resonance imaging, neuroanatomy, brain | has parent organization: University of South Carolina; South Carolina; USA | Free, Available for download, Freely available | nif-0000-00121 | SCR_002402 | 2026-08-05 10:43:36 | 0 | ||||||||
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International Consortium of Brain Mapping DTI-81 Atlas Resource Report Resource Website 1+ mentions |
International Consortium of Brain Mapping DTI-81 Atlas (RRID:SCR_008066) | data or information resource, atlas | A stereotaxic probabilistic white matter atlas that fuses DTI-based white matter information with an anatomical template (ICBM-152). This atlas is based on probabilistic tensor maps obtained from 81 normal subjects acquired under an initiative of the International Consortium of Brain Mapping (ICBM). The subjects were normal right-handed adults ranging from 18 to 59 years of age. A hand-segmented white matter parcellation map was created from this averaged map. This map can be used for automated white matter parcellation. The precision of the affine-based image normalization and automated parcellation was measured for a group of normal subjects using manually defined anatomical landmarks. The raw diffusion-weighted images (DWIs) were first co-registered to one of the least diffusion-weighted images and corrected for subject motion with 6-mode rigid transformation with Automated Image Registgration (AIR). The average of all DWIs (aDWI) was calculated and used for a DTI-based anatomic image. For anatomical images to drive the normalization process, aDWIs were used. These images were normalized to the template (ICBM-152) using a 12-mode affine or 4th order polynomial non-linear transformation of AIR. The transformation matrix was then applied to the calculated diffusion tensor field. In the white matter parcellation map (WMPM), deep white matter regions were manually segmented into various anatomic structures based on fiber orientation information. | adult, echo-planar image sequence, external capsule, fornix, stria terminalis, anatomical template, anterior commissure, anterior limb of internal capsule, association fiber, brain, brainstem, cerebral peduncle, cingulum, commissural fiber, corona radiata, corpus callosum, corticospinal tract, inferior cerebellar peduncle, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, uncinate fasciculus, medial lemniscus, medial longitudinal fasciculus, middle cerebellar peduncle, posterior limb of internal capsule, projection fiber, retrolenticular part of the internal capsule, sagittal stratum, superior cerebellar peduncle, superior fronto-occipital fasciculus, superior longitudinal fasciculus, tapetum, tensor map, tract, white matter, magnetic resonance imaging | has parent organization: University of California at Los Angeles; California; USA | nif-0000-10495 | http://www.loni.ucla.edu/Atlases/Atlas_Detail.jsp?atlas_id=15 | SCR_008066 | ICBM DTI-81 | 2026-08-05 10:44:54 | 2 | ||||||||
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Probabilistic atlas of the human cerebellum Resource Report Resource Website 1+ mentions |
Probabilistic atlas of the human cerebellum (RRID:SCR_008797) | Probablistic Cerebellar Atlas | data or information resource, atlas | A probabilistic atlas of the cerebellar lobules in the space defined by the MNI152 template. The anatomical definitions are based on the fMRI atlas of an individual cerebellum by Schmahmann et al. (2000). To obtain a representative anatomical atlas, we separately masked the lobules on T1-weighted MRI scans (1mm isotropic resolution) of 20 healthy young participants (10 male, 10 female, average age 23.7 yrs). Using a different set of 23 participants, we also masked the deep cerebellar nucelei. These cerebella were then aligned using different commonly used normalization algorithms. The resultant probabilistic maps allow for the valid assignment of functional activations to specific cerebellar lobules and the nuclei, while providing a quantitative measure of the certainty of such assignments. Furthermore, maximum probability maps derived from these atlases can be used to define regions of interest (ROIs) in functional neuroimaging and neuroanatomical research. The atlas is included in the newer releases of FSL and the Anatomy toolbox. More version of the atlases for use with MRICroN are also available. | adult, early adult, cerebellum, functional magnetic resonance imaging | has parent organization: UCL Motor Control Group | NSF BSC 0726685 | PMID:19457380 | nlx_144298 | SCR_008797 | 2026-08-05 10:45:08 | 3 | |||||||
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Atlases of amygdala and hippocampus for pediatric populations Resource Report Resource Website |
Atlases of amygdala and hippocampus for pediatric populations (RRID:SCR_014085) | data or information resource, atlas | Anatomical atlases constructed by Computational Anatomy of Johns Hopkins University for analysis of shape vectors. The atlases were generated from segmented hippocampal and amygdala structures in acquired populations of children, adolescents and young adults in neuroimaging studies of major depression disorder (MDD) at Washington University at St Louis. | atlas, amygdala, hippocampus, children, adolescent, young adult, human brain, depression, shape vector, analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Johns Hopkins University; Maryland; USA |
SCR_014085 | 2026-08-05 10:46:06 | 0 | |||||||||||
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CRL Unbiased and Deformable Spatiotemporal Atlas of the Fetal Brain Resource Report Resource Website 10+ mentions |
CRL Unbiased and Deformable Spatiotemporal Atlas of the Fetal Brain (RRID:SCR_014176) | data or information resource, atlas | An atlas of of the fetal brain from MRI of normal fetuses scanned prenatally generated using a mathematical framework. The atlas shows the inter-subject anatomic variability of the fetal brain over the fetal brain growth period and is currently available between 27 weeks gestational age to 35 weeks. It has been constructed following an unbiased minimum distance template estimation approach which utilizes symmetric diffeomorphic deformation and the cross-correlation (CC) similarity metric integrated with kernel regression in age. | atlas, fetal brain, mri, fetal brain growth, normal fetus |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: CHB Computational Radiology Laboratory |
PMID:25485391 | Available to the research community | http://crl.med.harvard.edu/research/fetal_brain_atlas/ | SCR_014176 | Computational Radiology Laboratory Unbiased and Deformable Spatiotemporal Atlas of the Fetal Brain | 2026-08-05 10:46:07 | 10 | |||||||
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Bravissima Resource Report Resource Website |
Bravissima (RRID:SCR_016229) | data or information resource, atlas | Project that is a translation of the BraVa arterial vasculature database into the NIFTI MRI file format that can be applied to stroke studies, fMRI resting state imaging studies and other clinical neuroscience studies. Group artery region labels and arterial density maps are provided as well. Human Brain Major Artery Atlas 10.7490/f1000research.1114378.1 | brain, neuroanatomy, artery, vascular, vasculature, |
is related to: BraVa is related to: DALAN Atlas has parent organization: U.S. Department of Veterans Affairs |
Free, Available for download | SCR_016229 | Bravissima: Human Brain Artery NIfTI Atlas, Human Brain Major Artery Atlas | 2026-08-05 10:46:35 | 0 | |||||||||
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Julich-Brain Cytoarchitectonic Atlas Resource Report Resource Website 1+ mentions |
Julich-Brain Cytoarchitectonic Atlas (RRID:SCR_023277) | JBA | data or information resource, atlas | Atlas presents cytoarchitectonic maps in several coordinate spaces, such as MNI colin27, MNI152, and freesurfer. These maps originate from peer-reviewed probability maps that define both cortical and subcortical brain regions and account for the brain's inter-individual variability by analyzing data from multiple post-mortem samples. For a whole-brain parcellation, the available probability maps are combined into a maximum probability map by considering for each voxel the probability of all cytoarchitectonic brain regions, and determining the most probable assignment. Atlas stands as reference atlas for the Human Brain Project and is embedded within the European research infrastructure platform, EBRAINS. | Interoperable atlas, human brain, 3D probabilistic atlas, human brain’s cytoarchitecture, cytoarchitectonic maps, cortical areas, subcortical nuclei |
is related to: BigBrain is related to: Human Brain Project EU is related to: EBRAINS has parent organization: Research Center Jülich; Jülich; Germany |
PMID:32732281 | Free, Freely available | SCR_023277 | Julich-Brain Atlas | 2026-08-05 10:47:48 | 3 | |||||||
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Cardiovascular Model Repository Resource Report Resource Website |
Cardiovascular Model Repository (RRID:SCR_002679) | storage service resource, service resource, data repository, data or information resource, image collection | Repository of geometric models collected from on-going and past research projects in the Cardiovascular Biomechanics Research Laboratory at Stanford University. The geometric models are mostly built from imaging data of healthy and diseased individuals. For each of the models, a short description is given with a reference. The geometric models are in VTK PolyData XML .vtp format. * Audience: Biomechanical and computational researchers interested in complex models of cardiovascular applications * Long Term Goals and Related Uses: Allow users to download geometric models for cardiovascular applications. These geometric models can be used for research purposes, such as meshing and scientific visualization. Users are welcome to contact the project administrator, join the project and contribute additional models. | aneurysm, arteriofemoral bypass, cardiovascular simulation, image-based geometric modeling, simvascular, stent, vtk, healthy, diseased, normal, cardiovascular, model, cardiovascular model, cardiovascular system, bypass, palmaz-stent, aorta, source code |
is listed by: Biositemaps has parent organization: Simtk.org |
Normal, Cardiovascular disease, Healthy | Free, Available for download, Freely available | nif-0000-23301 | SCR_002679 | 2026-08-06 09:25:41 | 0 | ||||||||
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HGNC Resource Report Resource Website 500+ mentions |
HGNC (RRID:SCR_002827) | controlled vocabulary, database, data or information resource | Only worldwide authority that provides standardized nomenclature, i.e. gene names and symbols (short form abbreviations), for all known human genes, and stores all approved symbols in the HGNC database. Approved human gene nomenclature. Database of gene symbols and names. Manually curated genes into groups based on shared characteristics such as homology, function or phenotype. Data for protein-coding genes, pseudogenes and non-coding RNAs. | gene, owl, gene symbol, phenotype, nomenclature, gene family, gene groups, genomic, proteomic, ortholog, web service, locus, protein coding, genetics, gold standard, bio.tools, FASEB list, GCBR, ELIXIR Core Data Resource, DRKB |
is used by: Nowomics is used by: Cytokine Registry is listed by: BioPortal is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Rat Gene Symbol Tracker is related to: INFEVERS is related to: VGNC has parent organization: University of Cambridge School of Clinical Medicine; Cambridge; United Kingdom |
NHGRI U24HG003345 | PMID:36243972 PMID:32747822 PMID:34615987 PMID:33152070 |
Free, Freely available | biotools:genenames.org, nif-0000-02955, r3d100010901 | http://bioportal.bioontology.org/ontologies/HUGO, https://bio.tools/genenames.org, https://doi.org/10.17616/R3XC80 | SCR_002827 | HUGO symbols, HGNC Database, HGNC - HUGO Gene Nomenclature Committee, HUGO Gene Nomenclature Committee, Human Genome Organization Gene Symbols | 2026-08-06 09:25:44 | 974 | |||||
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UMMC Center for Psychiatric Neuroscience Labs and Facilities Resource Report Resource Website |
UMMC Center for Psychiatric Neuroscience Labs and Facilities (RRID:SCR_002688) | UMMC CPN Labs & Facilities, UMMC CPN Labs and Facilities | brain bank, tissue bank, material resource, biomaterial supply resource | Core facility that provides access to psychiatrically characterized post-mortem brain specimens, state-of-the-art equipment, cutting-edge technologies and the technical advice of highly trained faculty members who serve as Core Directors. The sophisticated imaging systems and biotechnologically advanced molecular core resources are provided on a shared-use basis to CPN and UMMC researchers. The CPN Research Resources Cores include the Human Brain Collection Core, Animal Core, Imaging Core, Molecular Biology Core, and Information Technologies Core. | postmortem, brain, tissue, imaging, molecular biology, genomics |
is listed by: One Mind Biospecimen Bank Listing is listed by: ScienceExchange is related to: University of Mississippi Medical Center Labs and Facilities is related to: University of Mississippi Medical Center Animal Behavior Core Facility has parent organization: University of Mississippi Medical Center; Mississippi; USA |
Depression, Normal, Mental disease | NCRR | Free | SciEx_8930 | SCR_002688 | CPN Research Resource Cores, University of Mississippi Medical Center Center for Psychiatric Neuroscience, UMMC Center for Psychiatric Neuroscience Research Resource Cores, UMMC Center for Psychiatric Neuroscience Labs & Facilities, UMMC CPN Research Resource Cores | 2026-08-06 09:25:42 | 0 | |||||
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International HapMap Project Resource Report Resource Website 5000+ mentions |
International HapMap Project (RRID:SCR_002846) | HapMap | database, experimental protocol, narrative resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project. | genetic variant, disease, genetic sequence, genetic variation, single nucleotide polymorphism, genetic diversity, dna, sequence, catalog, genome, chromosome, bio.tools |
is used by: BioSample Database at EBI is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: SNAP - SNP Annotation and Proxy Search is related to: Haploview is related to: NHGRI Sample Repository for Human Genetic Research is related to: DistiLD - Diseases and Traits in LD is related to: SNP at Ethnos is related to: GBrowse is related to: Broad Institute Genomics Platform has parent organization: NCBI |
Chinese Academy of Sciences ; Chinese Ministry of Science and Technology ; Delores Dore Eccles Foundation ; Genome Canada ; Genome Quebec ; Hong Kong Innovation and Technology Commission ; Japanese Ministry of Education Culture Sports Science and Technology MEXT ; National Natural Science Foundation of China ; SNP Consortium ; University Grants Committee of Hong Kong ; Wellcome Trust ; W. M. Keck Foundation ; NIH |
PMID:14685227 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02940, biotools:int_hapmap_project, r3d100011835, OMICS_00273 | http://www.hapmap.org/, https://bio.tools/int_hapmap_project, https://doi.org/10.17616/R3H06Q | http://snp.cshl.org | SCR_002846 | HapMap Project | 2026-08-06 09:25:44 | 6817 | |||
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HemBase Resource Report Resource Website 1+ mentions |
HemBase (RRID:SCR_002880) | resource, database, data or information resource | Database designed for web-based examination of the human erythroid transcriptome. The database is organized to provide a cytogenetic band position, a unique name as well as a concise annotation for each entry. Search queries may be performed by name, keyword or cytogenetic location. Search results are linked to primary sequence data and three major human genome browsers for access to information considered current at the time of each search. Hembase provides interested scientists and clinical hematologists with a genome-based approach toward the study of erythroid biology. Red blood cells in the circulation arise from hematopoietic stem cells that proliferate as erythroid progenitors and differentiate into erythroid precursor cells in response to the hormone erythropoietin. Messenger RNA was isolated from those cells and used to generate gene libraries. Sequencing several thousand expressed sequence tags (EST) from those libraries was then performed. Those EST and sequences encoding several hundred additional genes with known expression in erythroid cells are compiled here as a database of human erythroid gene activity. The database is organized and linked according to the location of these sequences within the human genome., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | erythroid, erythroid cell, erythroblast, expressed sequenced tag, transcriptome, gene, erythropoiesis, cytogenetic location, hematology, genome, red blood cell, progenitor cell, precursor cell, chromosome |
is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources has parent organization: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases |
Anemia, Erythroleukemia, Malaria, Erythroid cell related disease | NIDDK 1ZIADK025098 | PMID:14681483 PMID:10409428 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02949 | SCR_002880 | Hembase | 2026-08-06 09:25:44 | 4 | |||||
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Community Epidemiology Work Group Resource Report Resource Website |
Community Epidemiology Work Group (RRID:SCR_002751) | CEWG | meeting resource, training resource, report, data or information resource, knowledge environment, book, narrative resource | A network composed of researchers from major metropolitan areas of the United States and selected foreign countries which meet semiannually to discuss the current epidemiology of drug abuse. The primary mission of the Work Group is to provide ongoing community-level surveillance of drug abuse through analysis of quantitative and qualitative research data. Through this program the CEWG provides current descriptive and analytical information regarding the nature and patterns of drug abuse, emerging trends, characteristics of vulnerable populations and social and health consequences. Reports Reports are available from the biannual meetings at which the network members discuss current and emerging problems of substance abuse. At the meetings, CEWG members present data on drug abuse from a variety of city, State, Federal, and other sources. These data are enhanced with information gathered through ethnographic research, focus groups, interviews, and other qualitative methods. This integration of quantitative with qualitative data provides invaluable insight into emerging drug use trends. Book In 1998, the National Institute on Drug Abuse (NIDA) published the first edition of Assessing Drug Abuse Within and Across Communities: Community Epidemiology Surveillance Networks on Drug Abuse to share information on establishing drug abuse epidemiology networks at community and State levels. Its purpose is to provide guidelines for establishing epidemiology networks to monitor and assess drug abuse patterns and trends and emerging drug problems at community and State levels to provide a foundation of information for public health response. The second edition differs from the first in format. For each data source, there is a description of the source and database, followed by guidelines on how to access the data (including Web sites) and what to request, and examples of how the data have been used by epidemiology work groups or Federal agencies. NIDA hopes that this revised guide is helpful to agencies, organizations, and researchers that are involved in or wish to establish epidemiology networks in their communities or States. | emerging trend, epidemiology, health consequence, social consequence, substance-related disorder, vulnerable population, work group, drug abuse, pattern, trend, characteristic, population, social, health |
is related to: NIDA Networking Project: Facilitating information exchange and research collaboration has parent organization: National Institute on Drug Abuse |
Drug use disorder | NIDA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24121 | SCR_002751 | Community Epidemiology Work Group (CEWG) | 2026-08-06 09:25:42 | 0 | |||||
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NIH NeuroBioBank Resource Report Resource Website 100+ mentions |
NIH NeuroBioBank (RRID:SCR_003131) | NBB | brain bank, tissue bank, material resource, biomaterial supply resource | National resource for investigators utilizing human post-mortem brain tissue and related biospecimens for their research to understand conditions of the nervous system. Federated network of brain and tissue repositories in the United States that collects, evaluates, stores, and makes available to researchers, brain and other tissues in a way that is consistent with the highest ethical and research standards. The NeuroBioBank ensures protection of the privacy and wishes of donors. Provides information to the public about the need for tissue donation and how to register as a donor. | human post-mortem brain tissue, human brain, brain tissue, tissue, adult, child, brain donation, human post-mortem brain tissue and related biospecimens, |
is used by: BRAIN Initiative Cell Atlas Network is used by: BICCN is listed by: One Mind Biospecimen Bank Listing has parent organization: National Institutes of Health |
Brain disorder, Autism spectrum disorder, Autism, Major Depressive Disorder, Schizophrenia, Multiple Sclerosis, Epilepsy, Traumatic brain injury | NIMH ; NINDS ; NICHD ; NIA ; NIDA |
PMID:29496155 | Free, Freely available | nlx_156783 | SCR_003131 | NeuroBioBank, National Institutes of Health NeuroBioBank | 2026-08-06 09:25:48 | 177 | ||||
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Brainscape Resource Report Resource Website 1+ mentions |
Brainscape (RRID:SCR_002962) | Brainscape | storage service resource, service resource, production service resource, data repository, data analysis service, data or information resource, analysis service resource, image repository, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 23, 2013. Database for resting state functional connectivity studies. Functional connectivity has shown tremendous promise in mapping the intrinsic functional topography of the brain, evaluating neuroanatomical models, and investigating neurological and psychiatric disease. Brainscape includes a repository of public and private data and an analysis engine for exploring the correlation structure of spontaneous fluctuations in the fMRI BOLD signal. (DICOM data is the image format that can be uploaded.) With Brainscape you can upload, analyze, and share your own data. You can search for, download, and analyze studies in the repository of shared data. The analysis engine works by selecting one or more studies, typing in the coordinates of a brain region of interest, and the seed-region correlation engine computes the correlation structure across the whole brain. (T1, T2 and EPI data are the scan types Brainscape can process.) You decide who can access your data. You can keep it to yourself, share with select colleagues, or share it with everyone. The Brainscape database and analysis tools are open source and freely available. | functional connectivity, fmri bold signal, brain, neuroanatomy, region of interest, resting state, fmri, analysis, processing, dicom, dicom data, t1, t2, epi data, 4-dimensional floating point, raw, statistical comparison, functional topography, neurological, psychiatric, disease, mri, functional, statistical operation, correlation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at San Diego; California; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00501 | SCR_002962 | 2026-08-06 09:25:45 | 2 | ||||||||
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CBU Imaging Wiki Resource Report Resource Website 50+ mentions |
CBU Imaging Wiki (RRID:SCR_003014) | CBU Imaging Wiki | portal, topical portal, data or information resource | Portal where neuroimaging studies are carried out using a Siemens 3T Tim Trio Magnetic Resonance Imaging (or MRI) scanner that is wholly dedicated to studies in Cognitive Neuroscience. From emotions and memories to language and learning, functional neuroimaging is being applied in many different areas of Cognitive Neuroscience. In many cases, this research relies upon support from healthy volunteers although neuroimaging studies are also being conducted in various clinical populations, including depression, anxiety, Parkinson's disease and Alzheimer's disease. | neuroimaging, cognitive neuroscience, mri, scanner, neuroscience, emotion, memory, language, learning, functional neuroimaging, clinical, population, human, analysis, software, disease, brain, imaging, fmri, cognition |
is related to: FslAtlasIntegration has parent organization: MRC Cognition and Brain Sciences Unit is parent organization of: MNI brain and the Talairach atlas is parent organization of: MNI brain and the Talairach atlas |
Depressive Disorder, Anxiety, Parkinson's disease, Alzheimer's disease | MRC | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30307 | SCR_003014 | CBUImaging, MRC CBU Imaging Wiki, MRC Cognition and Brain Sciences Unit Imaging Wiki, Cognition and Brain Sciences Unit Imaging Wiki | 2026-08-06 09:25:46 | 58 | |||||
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ADNI - Alzheimer's Disease Neuroimaging Initiative Resource Report Resource Website 1000+ mentions |
ADNI - Alzheimer's Disease Neuroimaging Initiative (RRID:SCR_003007) | ADNI | storage service resource, service resource, data repository, data or information resource, database | Database of the results of the ADNI study. ADNI is an initiative to develop biomarker-based methods to detect and track the progression of Alzheimer's disease (AD) that provides access to qualified scientists to their database of imaging, clinical, genomic, and biomarker data. | mri, alzheimer’s disease, cognitive assessment, neuroimaging, disease study, disease progression, biomarker, FASEB list |
is used by: Biomarkers Across Neurodegenerative Diseases is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Consortia-pedia is related to: Alzheimers Association is related to: Alzheimers Drug Discovery Foundation |
Alzheimer's disease, Mild Cognitive Impairment, Elderly control, Traumatic brain injury, Post-Traumatic Stress Disorder, Aging | NIA U01AG024904; NIA P30AG010129; NIA K01AG030514 |
Application required, Account required, This resource is available to the scientific community | SciRes_000144, nif-0000-00516 | http://adni.loni.usc.edu/, http://www.nitrc.org/projects/adni/, http://www.adni3.org/ | http://www.loni.ucla.edu/ADNI/ | SCR_003007 | Alzheimers Disease Neuroimaging Initiative, Alzheimer's Disease Neuroimaging Initiative (ADNI), Alzheimer's Disease Neuroimaging Initiative | 2026-08-06 09:25:46 | 3850 | |||
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DGAP Resource Report Resource Website 1+ mentions |
DGAP (RRID:SCR_003036) | DGAP | experimental protocol, data or information resource, resource, narrative resource, database | Produce resources to unravel the interface between insulin action, insulin resistance and the genetics of type 2 diabetes including an annotated public database, standardized protocols for gene expression and proteomic analysis, and ultimately diabetes-specific and insulin action-specific DNA chips for investigators in the field. The project aims to identify the sets of the genes involved in insulin action and the predisposition to type 2 diabetes, as well as the secondary changes in gene expression that occur in response to the metabolic abnormalities present in diabetes. There are five major and one pilot project involving human and rodent tissues that are designed to: * Create a database of the genes expressed in insulin-responsive tissues, as well as accessible tissues, that are regulated by insulin, insulin resistance and diabetes. * Assess levels and patterns of gene expression in each tissue before and after insulin stimulation in normal and genetically-modified rodents; normal, insulin resistant and diabetic humans, and in cultured and freshly isolated cell models. * Correlate the level and patterns of expression at the mRNA and/or protein level with the genetic and metabolic phenotype of the animal or cell. * Generate genomic sequence from a panel of humans with type 2 diabetes focusing on the genes most highly regulated by insulin and diabetes to determine the range of sequence and expression variation in these genes and the proteins they encode, which might affect the risk of diabetes or insulin resistance. The DGAP project will define: * the normal anatomy of gene expression, i.e. basal levels of expression and response to insulin. * the morbid anatomy of gene expression, i.e., the impact of diabetes on expression patterns and the insulin response. * the extent to which genetic variability might contribute to the alterations in expression or to diabetes itself. | gene, insulin action, predisposition, gene expression, metabolic abnormality, diabetes, insulin resistance, genetics, insulin, genetic variation, proteomics, genomics, affymetrix oligonucleotide array, microarray, protein, genomic sequence, data set |
is related to: NIDDK Information Network (dkNET) has parent organization: Harvard Medical School; Massachusetts; USA has parent organization: Broad Institute has parent organization: Dana-Farber Cancer Institute has parent organization: University of Massachusetts Medical School; Massachusetts; USA has parent organization: University of Southern Denmark; Odense; Denmark |
Type 2 diabetes, Normal, Insulin resistance | NIDDK | PMID:19786482 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30414 | SCR_003036 | The Diabetes Genome Anatomy Project, Diabetes Genome Anatomy Project | 2026-08-06 09:25:47 | 9 | ||||
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IMGT/HLA Resource Report Resource Website 100+ mentions |
IMGT/HLA (RRID:SCR_002971) | IMGT HLA, IMGT/HLA | storage service resource, service resource, data repository, data or information resource, database | Database for sequences of the human major histocompatibility complex (HLA) and includes the official sequences for the WHO Nomenclature Committee For Factors of the HLA System. It currently contains 9,310 allele sequences (2013) along with detailed information concerning the material from which the sequence was derived and data on the validation of the sequences. It is established procedure for authors to submit the sequences directly to the IMGT/HLA Database for checking and assignment of an official name prior to publication, this avoids the problems associated with renaming published sequences and the confusion of multiple names for the same sequence. The need for reasonably rapid publication of new HLA allele sequences has necessitated an annual meeting of the WHO Nomenclature Committee for Factors of the HLA System. Additionally they now publish monthly HLA nomenclature updates both in journals and online to provide quick and easy access to new sequence information. The IMGT/HLA Database is part of the international ImMunoGeneTics project. In collaboration with the Imperial Cancer Research Fund (ICRF) and European Bioinformatics Institute (EBI) they have developed an Oracle database to house the HLA sequences in such a way as to allow users to present complex queries about the sequence, sequence features, references, contacts and allele designations to the database via a graphical user interface over the web. The IMGT/HLA Database Submission Tool allows direct submission of sequences to the WHO HLA Nomenclature Committee for Factors of the HLA System. The IMGT/HLA Database provides an FTP site for the retrieval of sequences in a number of pre-formatted files. | alignment, allele, cell, hla, sequence alignment, major histocompatibility complex, nomenclature, blast, immunogenetics, histocompatibility, gene mapping, gene rearrangement, genetic recombination, genetics, gold standard, bio.tools |
is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: dbMHC has parent organization: European Bioinformatics Institute has parent organization: Anthony Nolan Research Institute has parent organization: IMGT - the international ImMunoGeneTics information system |
EU Biotech grant BIO4CT960037; Anthony Nolan Trust ; Imperial Cancer Research Fund |
PMID:21071412 PMID:10777106 PMID:18838392 |
Creative Commons Attribution-NoDerivs License | nif-0000-03014, biotools:ipd-imgt_hla, r3d100010804 | https://bio.tools/ipd-imgt_hla, https://doi.org/10.17616/R3T31N | SCR_002971 | IMGT HLA, IMGT/HLA DB, IMGT/HLA Database, International ImMunoGeneTics/Human Leukocyte Antigen Database | 2026-08-06 09:25:46 | 279 |
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