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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) Resource Report Resource Website 10+ mentions |
Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) (RRID:SCR_004226) | BBMRI | biomaterial supply resource, material resource | BBMRI is a pan-European and internationally broadly accessible research infrastructure and a network of existing and de novo biobanks and biomolecular resources. The infrastructure will include samples from patients and healthy persons, representing different European populations (with links to epidemiological and health care information), molecular genomic resources and biocomputational tools to optimally exploit this resource for global biomedical research. During the past 3 years BBMRI has grown into a 53-member consortium with over 280 associated organizations (largely biobanks) from over 30 countries, making it the largest research infrastructure project in Europe. During the preparatory phase the concept of a functional pan-European biobank was formulated and has now been presented to Member States of the European Union and for associated states for approval and funding. BBMRI will form an interface between specimens and data (from patients and European populations) and top-level biological and medical research. This can only be achieved through a distributed research infrastructure with operational units in all participating Member States. BBMRI will be implemented under the ERIC (European Research Infrastructure Consortium) legal entity. BBMRI-ERIC foresees headquarters (central coordination) in Graz, Austria, responsible for coordination of the activities of National Nodes established in participating countries. BBMRI is in the process of submitting its application to the European Commission for a legal status under the ERIC regulation, with an expected start date at the end of 2011. Major synergism, gain of statistical power and economy of scale will be achieved by interlinking, standardizing and harmonizing - sometimes even just cross-referencing - a large variety of well-qualified, up-to date, existing and de novo national resources. The network should cover (1) major European biobanks with blood, serum, tissue or other biological samples, (2) molecular methods resource centers for human and model organisms of biomedical relevance, (3) and biocomputing centers to ensure that databases of samples in the repositories are dynamically linked to existing databases and to scientific literature as well as to statistical expertise. Catalog of European Biobanks www.bbmriportal.eu Username: guest / Password: catalogue The catalogue is intended to be used as a reference for scientists seeking information about biological samples and data suitable for their research. The BBMRI catalogue of European Biobanks provides a high-level description of Europe''s biobanks characteristics using a portal solution managing metadata and aggregate data of biobanks. The catalogue can be queried by country, by biobank, by ICD-groups, by specimen types, by specific strengths, by funding and more. A search function is available for all data. | blood, serum, tissue, dna, cdna, rna, plasma, cell line, bodily fluid, urine, blood cell isolate, buffy coat, patient, healthy, normal, cryopreserved, paraffin embedded, clinical data |
is listed by: One Mind Biospecimen Bank Listing is related to: BioResource Impact Factor is related to: German Biobank Registry is related to: BioMedBridges is related to: Biological Resource Centre - National Institute for Cancer Research has parent organization: Medical University of Graz; Graz; Austria is parent organization of: BBMRI Wiki |
All, Patient, Healthy, Normal | European Union | Public: The catalogue is intended to be used as a reference for scientists seeking information about biological samples and data suitable for their research. | nlx_24389 | http://www.bbmri.eu/index.php | SCR_004226 | Biobanking and Biomolecular Resources Research Infrastructure, BBMRI: Biobanking Biomolecular Resources Research Infrastructure, Biobanking Biomolecular Resources Research Infrastructure, BBMRI: Biobanking and Biomolecular Resources Research Infrastructure, Biobanking Biomolecular Resources Research Infrastructure (BBMRI) | 2026-02-13 10:55:25 | 29 | ||||
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Biobank Graz Resource Report Resource Website |
Biobank Graz (RRID:SCR_004245) | Biobank Graz | biomaterial supply resource, material resource | Biobank Graz is a non-profit central Medical University of Graz (MUG) service facility that provides the logistics and infrastructure to optimally support MUG research teams in the collection, processing and storage of biological samples and their associated data. In the course of this, special attention is given to sample and data quality and to the protection of the individual rights of patients. Samples from selected patients at the Graz LKH-University Clinical Centre, who have signed an informed consent declaration, are deposited in Biobank Graz. This means that excess tissue and blood samples are collected and placed in storage. The samples are harvested in the course of routine interventions undertaken by the different departments and institutes of the Graz LKH-University Clinical Centre and approved for use in research projects only after the completion of all necessary laboratory and histopathological analyses. No additional material is removed: in other words, there are no associated drawbacks whatsoever for the patients involved. Biobank Graz operates a quality management system according to ISO 9001:2008 and offers the following services for the processing and storage of biological samples and the handling of data: * Consistently high sample quality through the processing of samples using standardized methods in accordance with written working instructions (SOPs) * Efficient use of resources through the building of shared infrastructure and the development of optimized processes * A high degree of reliability provided by the storage of samples in 24/7 - monitored storage systems. * Processing and storage of all data in accordance with data protection legislation. Biobank Graz comprises both population-based and disease-focused collections of biological materials. It currently contains approx. 3.8 mio samples from approx. 1.2 mio patients representing a nonselected patient group characteristic of central Europe. Because the Institute of Pathology was, until 2003, the exclusive pathology service provider for major parts of the province of Styria, including its capital Graz (population approx. 1.2 mio people), samples from all human diseases, treated by surgery or diagnosed by biopsy, are included in the collection at their natural frequency of occurrence and thus represent cancers and non-cancerous diseases from all organs, and from all age groups. The scientific value of the existing tissue collection is, thus, not only determined by its size and technical homogeneity (all samples have been processed in a single institute under constant conditions for more than 20 years), but also by its population-based character. These features provide ideal opportunities for epidemiological studies and allow the validation of biomarkers for the identification of specific diseases and determination of their response to treatment. Prospectively collected tissues, blood samples and clinical data comprise, on the one hand, randomly selected samples from all diseases and patient groups to provide sufficient numbers of samples for the evaluation of the disease-specificity of any gene or biomarker. On the other hand, Biobank Graz adopts a disease-focused approach for selected diseases (such as breast, colon and liver cancers as well as some metabolic diseases) through the collection of a range of different human biological samples of highest quality and detailed clinical follow-up data. Graz Medical University established the Biobank to provide improved and sustainable access to biological samples and related (clinical) data both for its own academic research and for external research projects of academic and industrial partners. It is a major interest of the university to initiate co-operative research projects. Biological samples and data are available to external institutions performing high-quality research projects which comply with the Biobank''s ethical and legal framework according to the access rules (Contact: COO Karine Sargsyan, MD, PhD). | tissue, blood, dna, rna, serum, plasma, bodily fluid, urine, cryopreserved, formalin fixed paraffin embedded, csf, frozen, disease, population, patient, healthy, normal, clinical, patient, healthy, normal, disease, cancer, metabolic disease, breast cancer, colon cancer, liver cancer, clinical data, cerebral spinal fluid |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Medical University of Graz; Graz; Austria |
All, Patient, Healthy, Normal, Disease, Cancer, Metabolic disease, Breast cancer, Colon cancer, Liver cancer | Public: Graz Medical University established the Biobank to provide improved and sustainable access to biological samples and related (clinical) data both for its own academic research and for external research projects of academic and industrial partners. It is a major interest of the university to initiate co-operative research projects. Biological samples and data are available to external institutions performing high-quality research projects which comply with the Biobank''s ethical and legal framework according to the access rules. | nlx_25894 | SCR_004245 | 2026-02-13 10:55:23 | 0 | |||||||
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Dynamics of Health Aging and Body Composition (Health ABC) Resource Report Resource Website |
Dynamics of Health Aging and Body Composition (Health ABC) (RRID:SCR_008813) | Health ABC | biomaterial supply resource, material resource | A study that characterizes the extent of change in body composition in older men and women, identifies clinical conditions accelerating these changes, and examines the health impact of these changes on strength, endurance, disability, and weight-related diseases of old age. The study population consists of 3,075 persons age 70-79 at baseline with about equal numbers of men and women. Thirty-three percent of the men are African-Americans as are 46% of the women. All persons in the study were selected to be free of disability in activities of daily living and free of functional limitation (defined as any difficulty walking a quarter of a mile or any difficulty walking up 10 steps without resting) at baseline. The core yearly examination for HEALTH ABC includes measurement of body composition by dual energy x-ray absorptio��������metry (DXA), walking ability, strength, an interview that includes self-report of limitations, a medication survey, and weight (Measurements in the Health ABC Study). Provision has been made for banking of blood specimens and extracted DNA (HealthABC repository). Study investigators are open to collaboration especially for measures focused on obesity and associated weight-related health conditions including osteoporosis, osteoarthritis, pulmonary function, cardiovascular disease, vascular disease, diabetes and glucose intolerance, and depression. The principal goals of the HEALTH ABC are: # To assess the association of baseline body weight, lean body mass, body fat, and bone mineral content, in relation to weight history, with: incident functional limitation; incidence and change in severity of weight-related health conditions; recovery of physical function after an acute event; baseline measures of strength, fitness and physical performance; gender, ethnicity and socioeconomic status # To access the contribution of episodes of severe acute illness in healthier older persons to changes in body weight, bone mineral content, lean body mass and body fat, and the relationship of these episodes to risk of functional limitation and recovery. # To assess the impact of weight-related co-morbid illness on the risk of functional limitation and recovery. # To assess the ways in which physiologic mediators of change in body composition influence and are influenced by changes in health in older adults and contribute to change in body composition; to understand how changes in body composition affect weight-related cardiovascular disease risk factors such as lipids, blood pressure and glucose tolerance. # To assess the interdependency of behavioral factors, such as nutrition and physical activity, co-morbid health conditions, and their association with change in body composition in old age. # To provide a firm scientific basis for understanding issues related to weight recommendations in old age through increased knowledge of the potential trade-offs between weight and risk of functional limitation, disability, morbidity and death; to provide information critical for developing effective strategies for the maintenance of health in older persons. | african-american, man, woman, late adult human, obesity, osteoporosis, osteoarthritis, pulmonary function, cardiovascular disease, vascular disease, diabetes, glucose intolerance, depressive disorder, dna, serum, plasma, cell, urine, platelet, blood, citrated plasma, edta plasma, red blood cell, scat-1, buffy coat, frozen, healthy, body composition |
is listed by: One Mind Biospecimen Bank Listing has parent organization: National Institute on Aging |
Late adult human, Healthy, Aging | NIA | Collaborators: Study investigators are open to collaboration especially for measures focused on obesity and associated weight-related health conditions including osteoporosis, Osteoarthritis, Pulmonary function, Cardiovascular disease, Vascular disease, Diabetes and glucose intolerance, And depression. | nlx_144412 | SCR_008813 | Dynamics of Health Aging and Body Composition, Health Aging and Body Composition (Health ABC) Study, Dynamics of Health Aging Body Composition, Health Aging and Body Composition Study, Health Aging Body Composition Study | 2026-02-13 10:56:16 | 0 | |||||
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Laser Biomedical Research Center Resource Report Resource Website 1+ mentions |
Laser Biomedical Research Center (RRID:SCR_000106) | LBRC | biomedical technology research center, service resource, access service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Biomedical technology research center that develops basic scientific understanding and new techniques required for advancing clinical applications of lasers and spectroscopy. LBRC merges optical spectroscopy, imaging, scattering, and interferometry techniques to study biophysics and biochemistry of healthy and diseased biological structures from subcellular to entire-organ scale. | spectroscopy, laser, biomedicine, optical spectroscopy, imaging, scattering, interferometry, optical probe, microscopy | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | Pre-cancer, Cancer, Atherosclerosis, Healthy, Diseased | NIBIB 4P41EB015871-30 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152645 | SCR_000106 | MIT Laser Biomedical Research Center, Laser Biomedical Research Center (LBRC) | 2026-02-13 10:54:37 | 4 | |||||
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HUPO Brain Proteome Project Resource Report Resource Website 1+ mentions |
HUPO Brain Proteome Project (RRID:SCR_007302) | HBPP | data or information resource, portal, topical portal | An open international project under the patronage of the Human Proteome Organisation (HUPO) that aims: To analyze the brain proteome of human as well as mouse models in healthy, neurodiseased and aged status with focus on Alzheimer's and Parkinson's Disease; To perform quantitative proteomics as well as complementary gene expression profiling on disease-related brain areas and bodily fluids; To advance knowledge of neurodiseases and aging in order to push new diagnostic approaches and medications; To exchange knowledge and data with other HUPO projects and national / international initiatives in the neuroproteomic field; To make neuroproteomic research and its results available in the scientific community and society. Recent work has shown that standards in proteomics and especially in bioinformatics are mandatory to allow comparable analyses, but still missing. To address this challenge, the HUPO BPP is closely working together with the HUPO Proteome Standards Initiative (HUPO PSI). | molecular neuroanatomy resource, brain, proteome, gene expression, expression profiling, proteomics, standard | has parent organization: HUPO - Human Proteome Organisation | Healthy, Neurodiseased, Aged, Alzheimer's disease, Parkinson's disease, Aging | BMBF | nif-0000-00173 | SCR_007302 | Human Brain Proteom Project, HUPO BPP | 2026-02-12 09:44:40 | 1 | ||||||
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anage Resource Report Resource Website 100+ mentions |
anage (RRID:SCR_001470) | AnAge | data or information resource, database | Curated database of aging and life history in animals, including extensive longevity records and complementary traits for > 4000 vertebrate species. AnAge was primarily developed for comparative biology studies, in particular studies of longevity and aging, but can also be useful for ecological and conservation studies and as a reference for zoos and field biologists. | senescence, comparative biology, longevity |
is used by: Aging Portal is used by: NIF Data Federation has parent organization: Human Ageing Genomic Resources |
Healthy aging, Aging, Healthy | PMID:23193293 | Free, Freely Available | nlx_152700 | SCR_001470 | Animal Ageing and Longevity Database, AnAge Database of Animal Ageing and Longevity, AnAge: The Animal Ageing and Longevity Database | 2026-02-11 10:56:14 | 144 | |||||
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BraVa Resource Report Resource Website 1+ mentions |
BraVa (RRID:SCR_001407) | BraVa | data or information resource, database | A database of digital reconstructions of the human brain arterial arborizations from 61 healthy adult subjects along with extracted morphological measurements. The arterial arborizations include the six major trees stemming from the circle of Willis, namely: the left and right Anterior Cerebral Arteries (ACAs), Middle Cerebral Arteries (MCAs), and Posterior Cerebral Arteries (PCAs). | digital reconstruction, morphometric analysis, cerebrum, arterial vasculature, magnetic resonance angiography, adult human, morphology, artery, arborization, circle of willis, cerebral artery, male, female, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Bravissima has parent organization: George Mason University: Krasnow Institute for Advanced Study |
Healthy | NINDS NS39600; NIBIB EB001955; NINDS NS061770; NIMH P20 MH52176 |
PMID:23727319 | Free, Freely Available | nlx_152630 | http://www.nitrc.org/projects/breva | SCR_001407 | 2026-02-11 10:56:13 | 8 | ||||
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MIRIAD Resource Report Resource Website 50+ mentions |
MIRIAD (RRID:SCR_002422) | MIRIAD | data or information resource, database | A database of volumetric MRI brain-scans of 46 Alzheimer's sufferers and 23 healthy elderly people. Many scans were collected of each participant at intervals from 2 weeks to 2 years, the study was designed to investigate the feasibility of using MRI as an outcome measure for clinical trials of Alzheimer's treatments. It includes a total of 708 scans and should be of particular interest for work on longitudinal biomarkers and image analysis. | magnetic resonance, late adult human, longitudinal, mri, mini mental state examination, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: University College London; London; United Kingdom |
Alzheimer's disease, Healthy, Late adult human | UK Alzheimers Society ; GlaxoSmithKline ; MRC MR/J014257/1; EPSRC EP/H046410/1 ; Comprehensive Biomedical Research Centre Strategic Investment Award Ref. 168 ; National Institute for Health Research |
PMID:23274184 | Free, Available for download, Freely available | nlx_155795 | http://www.nitrc.org/projects/miriad | SCR_002422 | MIRIAD dataset, MIRIAD XNAT database, MIRIAD database, Minimal Interval Resonance Imaging in Alzheimer's Disease, Minimal Interval Resonance Imaging in Alzheimer's Disease - public dataset | 2026-02-11 10:56:32 | 50 | |||
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Chinese Longitudinal Healthy Longevity Survey (CLHLS) Resource Report Resource Website 1+ mentions |
Chinese Longitudinal Healthy Longevity Survey (CLHLS) (RRID:SCR_008904) | CLHLS | data or information resource, database | The project has been collecting detailed panel data about the health, disability, demographic, family, socioeconomic, and behavioral risk-factors for mortality and healthy longevity of the oldest old, with a comparative sub-sample of younger elders, to examine the factors in healthy longevity. The baseline survey was conducted in 1998 and the follow-up surveys with replacement to compensate for deceased elders were conducted in 2000, 2002, 2005, and 2008, For each centenarian, one near-by octogenarian (aged 80-89) and one near-by nonagenarian (aged 90-99) of pre-designated age and sex were interviewed. Near-by is loosely defined it could be in the same village or street if available, or in the same town or in the same county or city. The idea was to have comparable numbers of male and female octogenarians and nonagenarians at each age from 80 to 99. In 2002, the study added a refresher sub-sample of 4,845 interviewees aged 65-79, and a sub-sample of 4,478 adult children (aged 35-65) of the elderly interviewees aged 65-110 in eight provinces Comparative study of intergenerational relationships in the context of rapid aging and healthy longevity between Mainland China and Taiwan is possible. At each wave, the longitudinal survivors were re-interviewed, and the deceased interviewees were replaced by additional participants. Data on mortality and health status before dying for the 12,136 elders aged 65-112 who died between the waves were collected in interviews with a close family member of the deceased. The study also included interviews and follow-ups with 4,478 elderly interviewees'''' children aged 35-65. * Dates of Study: 1998-2005 * Study Features: Longitudinal, International * Sample Size: ** 1998: 8,993 ** 2000: 11,199 ** 2002: 16,064 ** 2005: 14,923 Links * Data Archive, http://www.geri.duke.edu/china_study/CLHLS6.htm * ICPSR, http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/03891 | health, longevity, chinese, male, female, late adult human, interview, adult, middle adult human, longitudinal, international, disability, demographic, family, socioeconomic, behavior, risk-factor |
is listed by: Inter-university Consortium for Political and Social Research (ICPSR) is related to: National Archive of Computerized Data on Aging (NACDA) has parent organization: Peking University; Beijing; China has parent organization: Duke University; North Carolina; USA |
Aging, Healthy | NIA ; UNFPA ; China National Foundation for Social Sciences |
The 1998 baseline and 2000, 2002, 2005 follow-up healthy longevity survey data are now available here pending signature of a data use agreement: http://www.geri.duke.edu/china_study/CLHLS6.htm. | nlx_151432 | SCR_008904 | Chinese Longitudinal Healthy Longevity Survey | 2026-02-11 10:57:58 | 1 | |||||
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Arredondo ANT fNIRS dataset1 Resource Report Resource Website |
Arredondo ANT fNIRS dataset1 (RRID:SCR_002653) | AAF Data, AAF Data1, AF Data, AF Data1 | data or information resource, data set |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented September 12, 2017. Dataset in Bilingual exposure optimizes left-hemisphere dominance for selective attention processes in the developing brain by Arredondo, Su, Satterfield, & Kovelman (XX) Does early bilingual exposure alter the representations of cognitive processes in the developing brain? Theories of bilingual development have suggested that bilingual language switching might improve children''s executive function and foster the maturation of prefrontal brain regions that support higher cognition. To test this hypothesis, we used functional Near Infrared Spectroscopy to measure brain activity in Spanish-English bilingual and English-monolingual children during a visuo-spatial executive function task of attentional control (N=27, ages 7-13). Prior findings suggest that while young children start with bilateral activation for the task, it becomes right-lateralized with age (Konrad et al., 2005). Indeed monolinguals showed bilateral frontal activation, however young bilinguals showed greater activation in left language areas relative to right hemisphere and relative to monolinguals. The findings suggest that bilingual experience optimizes attention mechanisms in the language hemisphere, and highlight the importance of early experiences for neurodevelopmental plasticity of higher cognition. These data are made available from Ioulia Kovelman''s Language and Literacy Lab at University of Michigan and may be exported through the NIF Data Federation. To cite these data please use this text Data were published by Arredondo et al. (XX) and made available via the NIF at XX |
attention, functional near infrared spectroscopy, fnirs, bilingualism, language, child, ant, developing, brain |
is used by: NIF Data Federation has parent organization: University of Michigan; Ann Arbor; USA |
Healthy | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156086 | SCR_002653 | ANT fNIRS Dataset1, ANT fNIRS Data Set1, Arredondo ANT fNIRS Data Set 1, Arredondo ANT fNIRS Data Set1, ANT fNIRS Data Set 1 | 2026-02-11 10:56:30 | 0 | ||||||
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WU-Minn HCP 500 Subjects MR and MEG Release Resource Report Resource Website 10+ mentions |
WU-Minn HCP 500 Subjects MR and MEG Release (RRID:SCR_003922) | WU-Minn S500, HCP S500 | data or information resource, data set | Behavioral and 3T MR imaging data from over 500 healthy adult participants with 14 subjects also scanned in resting-state MEG (rMEG) and task MEG (tMEG). Highlights: * Behavioral and demographic data on 550 subjects. * MR imaging data preprocessed using updated pipelines (structural pipeline v3.1, functional pipeline v3.1, diffusion pipeline v3.1, task analysis pipeline v3.3). * Updates to pipelines include a new intersubject registration method called MSMSulc. All MR data from Q1-Q3 releases have been reprocessed. HCP strongly advises against mixing data from this release with previously-released data. * Individual task fMRI grayordinate-based analysis results (available at 2mm, 4mm, 8mm, and 12mm smoothing levels) and volume-based analysis results (4mm smoothing) are available for all complete 500 Subjects tfMRI data, using an updated task analysis pipeline v3.3. * New extensively processed 100- and 400+-subject group-average functional MR data. * Updates to MEG data and access in ConnectomeDB. Structural MRI-based MEG anatomical models and MR data for the 14 MEG1 Release subjects. * Improvements to behavioral data organization and data dictionary, including the addition of previously unreleased restricted behavioral and demographic data. * All imaging data soon to be available on the cloud through Amazon S3. (More information to come!) | meg, mri, early adult human, behavioral, demographic, neuroimaging, resting state, task, multimodal, behavioral measure, fmri, image |
is used by: NIF Data Federation has parent organization: Human Connectome Coordination Facility |
Healthy | Account required, Open Access Data Use Terms, Open unspecified license | nlx_158287 | SCR_003922 | HCP 500 Subjects Release, HCP 500 Subjects, WU-Minn HCP 500 Subjects Release, WU-Minn HCP 500 Subjects, HCP 500 Subjects MR + MEG Release, HCP 500 Subjects MR and MEG Release, WU-Minn HCP 500 Subjects MR + MEG Release | 2026-02-11 10:56:46 | 14 | ||||||
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Noise Enhancement of Sensorimotor Function Resource Report Resource Website |
Noise Enhancement of Sensorimotor Function (RRID:SCR_006913) | Noise Enhancement of Sensorimotor Function | data or information resource, data set | Data set of postural sway measurements for 15 healthy young (mean age 23, standard deviation 2), and 12 healthy elderly (mean age 73, standard deviation 3) volunteers. Each subject''s postural sway was recorded during a test of 10 minutes for the young subjects, or 5 minutes for the elderly subjects, in all cases with a 2-minute seated break midway through the test. Each test was divided into 30-second trials, and each file of the database contains data for one of these 30-second trials. | aging, late adult human, early adult human |
has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; has parent organization: Physiobank |
Aging, Healthy | PMID:14550702 | Acknowledgement requested | nlx_58609 | SCR_006913 | 2026-02-11 10:57:28 | 0 | ||||||
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CANDI Share: Schizophrenia Bulletin 2008 Resource Report Resource Website 1+ mentions |
CANDI Share: Schizophrenia Bulletin 2008 (RRID:SCR_009451) | CANDI Share: Schizophrenia Bulletin 2008 | data or information resource, data set | This project hosts data for CANDI Share Schizophrenia Bulletin 2008 (reference below) as part of the CANDI Neuroimaging Access Point. This set includes preprocessed MRI images and segmentation results of all 4 diagnostic groups (Healthy Controls, N=29; Schizophrenia Spectrum, N=20; Bipolar Disorder with Psychosis, N=19; and Bipolar Disorder without Psychosis, N=35). Frazier JA, Hodge SM, Breeze JL, Giuliano AJ, Terry JE, Moore CM, Kennedy DN, Lopez-Larson MP, Caviness VS, Seidman LJ, Zablotsky B, Makris N. Diagnostic and sex effects on limbic volumes in early-onset bipolar disorder and schizophrenia. Schizophr Bull. 2008 Jan;34(1):37-46. | magnetic resonance, mri, segmentation, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: CANDI Neuroimaging Access Point |
Bipolar Disorder, Schizophrenia, Healthy, Bipolar Disorder without psychosis, Bipolar Disorder with psychosis, Psychosis | PMID:18003631 | Creative Commons Attribution License | nlx_155595 | SCR_009451 | 2026-02-11 10:58:01 | 2 | ||||||
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Database of Genomic Variants Resource Report Resource Website 100+ mentions |
Database of Genomic Variants (RRID:SCR_007000) | DGV | data or information resource, database | Collection of curated structural variation in the human genome. Catalogue of human genomic structural variation identified in healthy control samples for studies aiming to correlate genomic variation with phenotypic data. It is continuously updated with new data from peer reviewed research studies. The Database is no longer accepting direct submission of data as they are currently part of a collaboration with two new archival CNV databases at EBI and NCBI, called DGVa and dbVAR, respectively. One of the changes to DGV as part of this collaborative effort is that they will no longer be accepting direct submissions, but rather obtain the datasets from DGVa (short for DGV archive). This will ensure that the three databases are synchronized, and will allow for an official accessioning of variants. | genome, chromosome, control, deletion, structure, insertion, inversion, segmental duplication, structural variation, genomic variation, phenotype, copy number variation, indel, genetics, gene expression, chromosome abnormality, human genome, variation, dna, statistics, chromosome, FASEB list |
is used by: MARRVEL is listed by: OMICtools is related to: Database of Genomic Variants Archive (DGVa) is related to: dbVar |
Healthy, Control | Genome Canada ; Ontario Genomics Institute ; McLaughlin Centre ; Canadian Institutes of Health Research |
PMID:24174537 | Acknowledgement requested | nif-0000-02721, OMICS_00266, r3d100010346 | http://projects.tcag.ca/variation/ https://doi.org/10.17616/R3NC8H |
SCR_007000 | DGV, Database of Genomic Variants | 2026-02-11 10:57:30 | 380 | |||
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Beijing: Eyes Open Eyes Closed Study Resource Report Resource Website |
Beijing: Eyes Open Eyes Closed Study (RRID:SCR_001507) | Beijing EOEC | data or information resource, data set | Data set of 48 healthy controls from a community (student) sample from Beijing Normal University in China with 3 resting state fMRI scans each. During the first scan participants were instructed to rest with their eyes closed. The second and third resting state scan were randomized between resting with eyes open versus eyes closed. In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 6-minute resting state fMRI scan (R-fMRI) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information and information on the counterbalancing of eyes open versus eyes closed. | early adult human, resting state, fmri, diffusion tensor imaging, resting state fmri, eyes open, eyes closed, neuroimaging, mprage, image collection, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Beijing Normal University; Beijing; China has parent organization: 1000 Functional Connectomes Project |
Healthy | National Natural Science Foundation of China 30770594; National High Technology Program of China (863) 2008AA02Z405 |
Creative Commons Attribution-NonCommercial License | nlx_152810 | SCR_001507 | Beijing Eyes Open Eyes Closed Study, Beijing Normal University State Key Laboratory of Cognitive Neuroscience and Learning Eyes Open Eyes Closed Sample, Eyes Open Eyes Closed Sample, BNU Eyes Open Eyes Closed Sample | 2026-02-11 10:56:14 | 0 | |||||
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Harvard - Oxford Cortical Structural Atlas Resource Report Resource Website 100+ mentions |
Harvard - Oxford Cortical Structural Atlas (RRID:SCR_001476) | Atlases | data or information resource, atlas, reference atlas | Probabilistic atlases covering 48 cortical and 21 subcortical structural areas, derived from structural data and segmentations kindly provided by the Harvard Center for Morphometric Analysis. T1-weighted images of 21 healthy male and 16 healthy female subjects (ages 18-50) were individually segmented by the CMA using semi-automated tools developed in-house. The T1-weighted images were affine-registered to MNI152 space using FLIRT (FSL), and the transforms then applied to the individual labels. Finally, these were combined across subjects to form population probability maps for each label. Segmentations used to create these atlases were provided by: David Kennedy and Christian Haselgrove, Centre for Morphometric Analysis, Harvard; Bruce Fischl, the Martinos Center for Biomedical Imaging, MGH; Janis Breeze and Jean Frazier from the Child and Adolescent Neuropsychiatric Research Program, Cambridge Health Alliance; Larry Seidman and Jill Goldstein from the Department of Psychiatry of Harvard Medical School. | male, female, t1-weighted image, cortical, subcortical, neuroanatomy, cortex |
has parent organization: Harvard University; Cambridge; United States is a plug in for: FSL |
Healthy | NCRR R01 RR16594-01A1; NIMH K01 MH01798; NINDS R01 NS052585-01; NIMH K08 MH01573 |
Free, Freely available | nlx_152707 | SCR_001476 | , Harvard Oxford Cortical Structural Atlas, Harvard-Oxford cortical and subcortical structural atlases, Harvard Oxford Atlas | 2026-02-12 09:43:10 | 144 | |||||
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Ear Lab Resource Report Resource Website |
Ear Lab (RRID:SCR_002531) | Earlab | laboratory portal, data or information resource, organization portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13, 2026. Computationally oriented experimental laboratory interested in the encoding of auditory information in the cerebral cortex and brainstem, and in the mechanisms of tinnitus and the effect of various drugs (Lidocaine, steroids, anti-oxidants) in relieving noise trauma induced tinnitus. The ferret (Mustela putorius) and the rat serve as their system model. Through chronic implants, they obtain electrophysiological data from awake behaving animals in order to investigate the response properties and functional organization of the auditory system, both in health and after noise trauma that induces tinnitus in rats. Projects: * Response Modulation to Ongoing Broadband Sounds in Primary Auditory Cortex * Neuronal Response Characteristics in the Inferior Colliculus of the Awake Ferret and Rat * Spectro-Temporal Representation of Feature Onsets in Primary Auditory Cortex * Targeting the changes in inferior colliculus induced by tinnitus | ear, auditory, cerebral cortex, behavior, health, noise, trauma, research, engineering, primary auditory cortex, neuron, brainstem, tinnitus, drug, lidocaine, steroid, anti-oxidant, computation, auditory system, sound, mustela putorius, inferior colliculus | has parent organization: University of Maryland; Maryland; USA | Tinnitus, Healthy | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00404 | SCR_002531 | the ear lab | 2026-02-13 10:55:03 | 0 | ||||||
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Cardiovascular Model Repository Resource Report Resource Website |
Cardiovascular Model Repository (RRID:SCR_002679) | data repository, storage service resource, image collection, data or information resource, service resource | 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 | 2026-02-13 10:55:05 | 0 | ||||||||
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CCHMC Pediatric Brain Templates Resource Report Resource Website 1+ mentions |
CCHMC Pediatric Brain Templates (RRID:SCR_003276) | Pediatric Brain Templates | data or information resource, image collection, atlas, reference atlas | Brain imaging data collected from a large population of normal, healthy children that have been used to construct pediatric brain templates, which can be used within statistical parametric mapping for spatial normalization, tissue segmentation and visualization of imaging study results. The data has been processed and compiled in various ways to accommodate a wide range of possible research approaches. The templates are made available free of charge to all interested parties for research purposes only. When processing imaging data from children, it is important to take into account the fact that the pediatric brain differs significantly from the adult brain. Therefore, optimized processing requires appropriate reference data be used because adult reference data will introduce a systematic bias into the results. We have shown that, in the in the case of spatial normalization, the amount of non-linear deformation is dramatically less when a pediatric template is used (left, see also HBM 2002; 17:48-60). We could also show that tissue composition is substantially different between adults and children, and more so the younger the children are (right, see also MRM 2003; 50:749-757). We thus believe that the use of pediatric reference data might be more appropriate. | brain, child, human, normal, pediatric, spatial normalization, template, tissue segmentation, visualization, young human, neuroimaging | is related to: SPM | Normal, Healthy | Free, Freely available | nif-0000-01274 | https://jiscmail.ac.uk/cgi-bin/wa-jisc.exe?A2=SPM;981fd215.02 | SCR_003276 | 2026-02-13 10:55:12 | 3 | ||||||
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NIH MRI Study of Normal Brain Development Resource Report Resource Website 1+ mentions |
NIH MRI Study of Normal Brain Development (RRID:SCR_003394) | Pediatric MRI Study | data or information resource, experimental protocol, narrative resource, data set | Data sets of clinical / behavioral and image data are available for download by qualified researchers from a seven year, multi-site, longitudinal study using magnetic resonance technologies to study brain maturation in healthy, typically-developing infants, children, and adolescents and to correlate brain development with cognitive and behavioral development. The information obtained in this study is expected to provide essential data for understanding the course of normal brain development as a basis for understanding atypical brain development associated with a variety of developmental, neurological, and neuropsychiatric disorders affecting children and adults. This study enrolled over 500 children, ranging from infancy to young adulthood. The goal was to study each participant at least three times over the course of the project at one of six Pediatric Centers across the United States. Brain MR and clinical/behavioral data have been compiled and analyzed at a Data Coordinating Center and Clinical Coordinating Center. Additionally, MR spectroscopy and DTI data are being analyzed. The study was organized around two objectives corresponding to two age ranges at the time of enrollment, each with its own protocols. * Objective 1 enrolled children ages 4 years, 6 months through 18 years (total N = 433). This sample was recruited across the six Pediatric Study Centers using community based sampling to reflect the demographics of the United States in terms of income, race, and ethnicity. The subjects were studied with both imaging and clinical/behavioral measures at two year intervals for three time points. * Objective 2 enrolled newborns, infants, toddlers, and preschoolers from birth through 4 years, 5 months, who were studied three or more times at two Pediatric Study Centers at intervals ranging from three months for the youngest subjects to one year as the children approach the Objective 1 age range. Both imaging and clinical/behavioral measures were collected at each time point. Participant recruitment used community based sampling that included hospital venues (e.g., maternity wards and nurseries, satellite physician offices, and well-child clinics), community organizations (e.g., day-care centers, schools, and churches), and siblings of children participating in other research at the Pediatric Study Centers. At timepoint 1, of those enrolled, 114 children had T1 scans that passed quality control checks. Staged data release plan: The first data release included structural MR images and clinical/behavioral data from the first assessments, Visit 1, for Objective 1. A second data release included structural MRI and clinical/behavioral data from the second visit for Objective 1. A third data release included structural MRI data for both Objective 1 and 2 and all time points, as well as preliminary spectroscopy data. A fourth data release added cortical thickness, gyrification and cortical surface data. Yet to be released are longitudinally registered anatomic MRI data and diffusion tensor data. A collaborative effort among the participating centers and NIH resulted in age-appropriate MR protocols and clinical/behavioral batteries of instruments. A summary of this protocol is available as a Protocol release document. Details of the project, such as study design, rationale, recruitment, instrument battery, MRI acquisition details, and quality controls can be found in the study protocol. Also available are the MRI procedure manual and Clinical/Behavioral procedure manuals for Objective 1 and Objective 2. | young human, child, pediatric, experimental protocol, brain, brain development, development, mri, minc, clinical, behavior, anatomical mri, diffusion tensor imaging, mr spectroscopy, adolescent, clinical data, behavioral data, data visualization software, clinical measure, behavioral measure, physical neurological examination, behavioral rating, neuropsychological testing, structured psychiatric interview, hormonal measure, image collection, neonate, clinical neuroinformatics, dicom, minc2, magnetic resonance, nifti |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: NIH Data Sharing Repositories is related to: NIH Data Sharing Repositories has parent organization: National Institutes of Health |
Healthy, Normal | NICHD ; NIDA ; NIMH ; NINDS ; NIH Blueprint for Neuroscience Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00201 | http://www.bic.mni.mcgill.ca/nihpd/info/, https://nihpd.crbs.ucsd.edu/nihpd/info/index.html | SCR_003394 | NIH Pediatric MRI Data Repository, Pediatric MRI Data Repository | 2026-02-13 10:55:14 | 6 |
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