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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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HeadIT Resource Report Resource Website 1+ mentions |
HeadIT (RRID:SCR_005657) | HeadIT | data set, data repository, storage service resource, service resource, data or information resource | Platform for sharing, download, and re-analysis or meta-analysis of sophisticated, fully annotated, human electrophysiological data sets. It uses EEG Study Schema (ESS) files to provide task, data collection, and subject metadata, including Hierarchical Event Descriptor (HED) tag descriptions of all identified experimental events. Visospatial task data also available from, http://sccn.ucsd.edu/eeglab/data/headit.html: A 238-channel, single-subject EEG data set recorded at the Swartz Center, UCSD, by Arnaud Delorme, Julie Onton, and Scott Makeig is al. | electrophysiology, data sharing, eeg, visual-auditory cued attention shift paradigm, adult, early adult human, late adult human, memory task, modified sternberg working memory task, visual, auditory, auditory oddball, memory, task |
uses: HED Tags is related to: EEGLAB has parent organization: University of California at San Diego; California; USA |
Normal, Healthy, Others possible | NIMH R01-MH084819; NINDS R01-NS047293 |
Public, Must agree to Data Use Agreement and Terms of Use., Account required for collaboration and to upload data. | nlx_149081 | http://headit-beta.ucsd.edu/ http://sccn.ucsd.edu/eeglab/data/headit.html |
http://HeadIT.org | SCR_005657 | Human Electrophysiology Anatomic Data & Integrated Tools (HeadIT) Resource, Human Electrophysiology Anatomic Data & Integrated Tools Resource, Human Electrophysiology Anatomic Data & Integrated Tools, Human Electrophysiology Anatomic Data and Integrated Tools (HeadIT) Resource | 2026-02-16 09:46:40 | 5 | |||
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MRI Research Safety and Ethics Resource Report Resource Website |
MRI Research Safety and Ethics (RRID:SCR_005642) | MRI Research Safety and Ethics | data or information resource, standard specification, narrative resource | NIMH recognizes the need to consider safety and ethical issues related to both the administration of MR (magnetic resonance) facilities and the use of these facilities for research. This document summarizes the points to consider discussed by the National Advisory Mental Health Council (NAMHC) Workgroup. Examples of safe and ethical practices are discussed in relation to several issues. These examples are intended to be illustrative and should not be interpreted as an exhaustive or exclusive list. This document was presented to the full NIMH Council on September 15, 2006 and approved unanimously. By making the points to consider document available publicly, NIMH intends to provide a resource for researchers and institutions that use MRI in research. The agenda was organized into six topics, which provide the organization for the points to consider that follow: A. MRI screening B. Training, operating, and emergency procedures C. Physical facilities D. Scanning/participant health variables E. Context- Specific Considerations: University vs. medical settings F. Additional data needs and updating The NIMH believes that investigators, institutions and facilities can use this document as a resource for the development, administration, evaluation, and use of MRI research facilities. | mri, research, neuroscience, imaging | has parent organization: National Institute of Mental Health | NIMH | nlx_146267 | SCR_005642 | MRI Research Safety and Ethics: Points to Consider, MRI Research Safety Ethics | 2026-02-16 09:46:30 | 0 | |||||||
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Computerized Anatomical Reconstruction and Editing Toolkit Resource Report Resource Website 50+ mentions |
Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) | CARET | software application, data processing software, data visualization software, image processing software, software resource | Software package to visualize and analyze structural and functional characteristics of cerebral and cerebellar cortex in humans, nonhuman primates, and rodents. Runs on Apple (Mac OSX), Linux, and Microsoft Windows operating systems. | reconstruction, visualization, cerebral cortex, surface, brain, dataset, cerebellar cortex, atlas application, mesh generation, quantitative shape analysis, segmentation, shape analysis, intersubject, image-to-template, gaussian curvature, mean curvature, animation, three dimensional display, two dimensional display, surface rendering, cortical flat map, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: SumsDB has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIMH R01 MH60974; NEI EY02091 |
PMID:11522765 | Free, Available for download, Freely available | nif-0000-00279 | http://www.nitrc.org/projects/caret https://sources.debian.org/src/caret/ |
SCR_006260 | Computerized Anatomical Reconstruction Editing Toolkit | 2026-02-16 09:46:40 | 57 | ||||
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3D Developmental Mouse Brain Common Coordinate Framework Resource Report Resource Website 1+ mentions |
3D Developmental Mouse Brain Common Coordinate Framework (RRID:SCR_025544) | data or information resource, atlas | Open access multimodal 3D atlases of developing mouse brain that can be used to integrate mouse brain imaging data for visualization, education, cell census mapping, and more. Atlas ages include E11.5, E13.5, E15.5, E18.5, P4, P14, and P56. Web platform can be utilized to visualize and explore the atlas in 3D. Downloadable atlas can be used to align multimodal mouse brain data. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system. Anatomical labels are manually drawn in 3D based on the prosomeric model. For additional references, the P56 template includes templates and annotations from the aligned Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) and aligned Molecular Atlas of the Adult Mouse Brain. | multimodal 3D atlases, developing mouse brain, mouse brain data, |
is related to: Allen Mouse Brain Common Coordinate Framework is organization facet of: BRAIN Initiative |
NIMH RF1MH12460501; NINDS R01NS108407; NIMH R01MH116176; NIBIB R01EB031722 |
PMID:37745386 | Free, Freely available | SCR_025544 | DevCCF | 2026-02-16 09:50:58 | 2 | |||||||
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BEADL:BEhavioral tAsk Description Language Resource Report Resource Website 1+ mentions |
BEADL:BEhavioral tAsk Description Language (RRID:SCR_025464) | BEADL | narrative resource, standard specification, data or information resource | Universal framework for describing behavioral tasks. Language to abstract and standardize behavioral task descriptions on two layers. Graphical layer specifies elements to describe behavioral tasks as state machine in formal flow diagram and how task controlling system interacts with subject. This graphical layer has been designed to be easy to understand while retaining all aspects of behavioral task. The second layer is corresponding, XML-based description of task. This layer forms rigid, yet extensible foundation of BEADL and hides hardware implementation related details form graphical representation.BEADL-specific extension for Neurodata Without Borders data standard defines how behavioral outcomes of task are stored in NWB including corresponding BEADL task description. | Language to abstract and standardize behavioral task descriptions, two layers, graphical layer specifies elements, describe behavioral tasks as state machine, formal flow diagram, behavioral task | is related to: Neurodata Without Borders | NIMH RF1MH120034; NeuroNex NSF |
Free, Freely available, | SCR_025464 | BEhavioral tAsk Description Language | 2026-02-16 09:51:05 | 1 | |||||||
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Genetic Tools Atlas Resource Report Resource Website 1+ mentions |
Genetic Tools Atlas (RRID:SCR_025643) | GTA | database, data or information resource, catalog, atlas | Searchable catalog of enhancer-adeno-associated viruses (AAVs) that have been developed and tested at the Allen Institute for Brain Science. We present a suite of enhancer AAVs that can provide access to specific cell types when delivered to the whole brain. Multiple epigenomic and transcriptomic datasets were interrogated to reveal candidate enhancers that are selectively accessible in particular cell populations. Enhancer AAVs were constructed and screened for desirable expression and a sizeable subset of enhancer AAVs were subjected to further characterization by single cell transcriptomics and/or brain-wide expression imaging in mouse. In the GTA, we present a large toolkit for selective gene expression in cell types of interest. Genetic Tools Atlas is part of the growing Brain Knowledge Platform. | enhancer-adeno-associated viruses, enhancer AAVs, mouse transgenes, epifluorescence imaging, serial two-photon tomography, sc/snRNA-seq, genetic tools, |
is related to: Neuroglancer is related to: Addgene has parent organization: Allen Institute |
Paul G. Allen Foundation n/a; NIMH 1UF1 MH128339; NIMH 1UG3 MH120095; NIMH 1RF1 MH114126; NIMH 1RF1 MH121274 |
Free, Freely available | https://knowledge.brain-map.org/data/7CVKSF7QGAKIQ8LM5LC/summary https://knowledge.brain-map.org/data/7CVKSF7QGAKIQ8LM5LC/specimens |
SCR_025643 | Allen Genetic Tools Atlas | 2026-02-16 09:51:09 | 6 | ||||||
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NYU Institute for Pediatric Neuroscience Sample Resource Report Resource Website |
NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) | NYU IPN Sample, NYUIQ | data set, data or information resource | Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first. | adult human, young human, intelligence quotient, child, adolescent, clinical, resting state fmri, t1-weighted, mprage, diffusion tensor imaging, fsiq, viq, piq, neuroimaging, brain, image collection |
has parent organization: 1000 Functional Connectomes Project has parent organization: New York University; New York; USA |
Neurotypical, Aging | Autism Speaks ; Stavros Niarchos Foundation ; Leon Levy Foundation ; Phyllis Green and Randolph Cwen ; NIMH R01MH083246 |
Creative Commons Attribution-NonCommercial License | nlx_157644 | SCR_010458 | NYU Phyllis Green and Randolph Cwen Institute for Pediatric Neuroscience Sample | 2026-02-16 09:47:45 | 0 | |||||
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HCP Pipelines Resource Report Resource Website 10+ mentions |
HCP Pipelines (RRID:SCR_026575) | software application, data processing software, software toolkit, image processing software, software resource | Software package as set of tools, primarily shell scripts, for processing multi-modal, high-quality MRI images for the Human Connectome Project. Minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space. | Minimal preprocessing pipelines, Human Connectome Project, MRI images processing, MRI images, | NIMH MH091657; NIH Blueprint for Neuroscience Research ; NIMH F30 MH097312; NIMH ROI MH60974; NCRR U24 RR021382; NIBIB R01EB006758; NIA R01AG008122; NINDS R01 NS052585; NINDS R21NS072652; NINDS R01NS070963 |
PMID:23668970 | Free, Available for download, Freely available | https://www.humanconnectome.org/software/hcp-mr-pipelines | SCR_026575 | Human Connectome Project Pipelines | 2026-02-16 09:51:14 | 20 | |||||||
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SnapATAC2 Resource Report Resource Website 1+ mentions |
SnapATAC2 (RRID:SCR_026622) | software toolkit, source code, software resource | Software Python/Rust package for single-cell epigenomics analysis. | Single-cell epigenomics analysis, | NHGRI U01HG012059; NHGRI UM1HG011585; NIMH RF1MH128838; NIMH UM1MH130994; NIA R24AG073198; NIMH U01MH114828; NIA R56AG069107; NIA U54AG079758; NIMH U01MH121282; NIMH U19MH114831; NEI R01EY031663 |
PMID:38191932 | Free, Available for download, Freely available | SCR_026622 | 2026-02-16 09:51:14 | 3 | |||||||||
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Early Postnatal Developmental Mouse Brain Atlas Resource Report Resource Website 1+ mentions |
Early Postnatal Developmental Mouse Brain Atlas (RRID:SCR_024725) | epDevAtlas | laboratory portal, organization portal, atlas, portal, data or information resource | Suite of open access resources including 3D atlases of early postnatally developing mouse brain and mapped cell type density growth charts, which can be used as standalone resources or to implement data integration. Web platform can be utilized to analyze and visualize the spatiotemporal growth of GABAergic, microglial, and cortical layer-specific cell type densities in 3D. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system with an isotropic resolution of 20 μm (XYZ in coronal plane). Average transformations were conducted at 20 μm voxel resolution by interpolating high resolution serial two photon tomography images from primarily Vip-IRES-Cre;Ai14 mice at postnatal (P) ages P4, P6, P8, P10, P12, and P14. For all ages, anatomical labels from the P56 Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) were iteratively down registered to each early postnatal time point in a non-linear manner, aided by manual parcellations of landmarks in 3D, consistent with the Allen Mouse Reference Atlas Ontology. | 3D atlases, early postnatally developing mouse brain, mapped cell type density growth charts, Allen Mouse Reference Atlas Ontology, |
uses: Allen Mouse Reference Atlas Ontology uses: Allen Mouse Brain Common Coordinate Framework is organization facet of: BRAIN Initiative Cell Atlas Network |
NIMH RF1MH12460501; NINDS R01NS108407 |
DOI:10.1101/2023.11.24.568585 | Free, Freely available | SCR_024725 | 2026-02-16 09:50:52 | 3 | |||||||
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Reproducible Brain Charts Resource Report Resource Website |
Reproducible Brain Charts (RRID:SCR_027837) | data set, data or information resource | Open data resource for mapping brain development and its associations with mental health. Integrates data from 5 large studies of brain development in youth from three continents (N = 6,346). Bifactor models were used to create harmonized psychiatric phenotypes, capturing major dimensions of psychopathology. Neuroimaging data were carefully curated and processed using consistent pipelines in a reproducible manner. | Neuroimaging data, curated data, data resource, mapping brain development, mental health, | NIMH R01MH120482; NIMH R37MH125829; NIBIB R01EB022573; NIMH R01MH112847; NIMH R01MH113550; NIMH RF1MH121867; NIMH R01MH123550; NINDS U24NS130411; NIMH P50MH109429; NIMH R01MH123440; NIMH K08MH079364 |
PMID:40987284 | Free, Freely available | SCR_027837 | 2026-02-16 09:51:29 | 0 | |||||||||
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Baby Open Brains Resource Report Resource Website |
Baby Open Brains (RRID:SCR_027836) | data set, data or information resource | Open source resource of manually curated and expert reviewed infant brain segmentations hosted on OpenNeuro.org. and OSF.io. Anatomical MRI data was segmented from 71 infant imaging visits across 51 participants, using both T1w and T2w images per visit. Images showed dramatic differences in myelination and intensities across 1–9 months, emphasizing the need for densely sampled gold-standard segmentations across early life. This dataset provides a benchmark for evaluating and improving pipelines dependent upon segmentations in the youngest populations. As such, this dataset provides a vitally needed foundation for early-life large-scale studies such as HBCD. | MRI, image, dataset of infant brain segmentations, infant brain, brain segmentation, manually curated infant brain segmentations, | uses: OpenNeuro | Bill & Melinda Gates Foundation ; NIMH R01 MH104324; NIMH U01 MH110274; NINDS T32 NS109604; NIDA U01DA041148; NIDA U24DA055330; NIMH R01MH096773; NIMH R01MH125829; NIMH R37MH125829 |
PMID:40813378 | Free, Freely available, | SCR_027836 | , BOBs, Baby Open Brains (BOBs) Dataset | 2026-02-16 09:51:30 | 0 | |||||||
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neuropythy Resource Report Resource Website |
neuropythy (RRID:SCR_027787) | software resource, software toolkit, source code, software library | Software neuroscience library for Python, intended to complement the existing nibabel library. Can automatic download data and interpret them into Python data structures. | Python, complement nibabel library, can automatic download data and interpret them into Python data structures, | NEI R00 EY022116; NIMH R01 MH111417; NEI R01 EY027964; NEI R01 EY027401 |
PMID:30520736 | Free, Available for download, Freely available | https://hub.docker.com/r/nben/neuropythy | SCR_027787 | 2026-02-16 09:51:28 | 0 | ||||||||
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CBaSE Resource Report Resource Website |
CBaSE (RRID:SCR_027765) | software application, software resource, source code | Software tool which derives gene-specific probabilistic estimates of the strength of negative and positive selection in cancer. | Cancer Genes, SNV, indel, gene-specific probabilistic estimates, strength of negative and positive selection, cancer | NCI U54 CA143874; NIMH R01 MH101244; NIGMS R01 GM078598 |
PMID:29106416 | Free, Available for download, Freely available | https://github.com/weghornlab/CBaSE http://genetics.bwh.harvard.edu/cbase |
SCR_027765 | Cancer Bayesian SElection estimation | 2026-02-16 09:51:28 | 0 | |||||||
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NUNDA Resource Report Resource Website 1+ mentions |
NUNDA (RRID:SCR_013664) | NUNDA | A resource for managing study data collected by the Northwestern University neuroimaging community. It includes a secure database, automated pipelines for processing managed data, and tools for exploring and accessing the data. Access to data in the NUNDA is restricted to users authorized by the specific study's investigators. The NUNDA is hosted by the Neuroimaging & Applied Computational Anatomy Lab, and it is modeled after the Washington University's Central Neuroimaging Data Archive (CNDA). The NUNDA is powered by XNAT, an open source software package for managing neuroimaging and related data. | MRI, imaging, |
is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Northwestern University; Illinois; USA |
NIMH 1R01 MH0848803; NIMH 1U01 MH097435-01A1; NIDCD P50 DC012283-01A1 |
SCR_013664 | The Northwestern University Neuroimaging Data Archive | 2026-02-14 02:02:32 | 3 | |||||||||
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Language Map Experiment Management System Resource Report Resource Website |
Language Map Experiment Management System (RRID:SCR_004562) | Language Map EMS | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. An experiment management system for researchers studying language organization in the brain. Data from thirteen patients are available as a public demo. Language Map EMS | fmri, 3d models, anatomy, cortex, data managementas of 2006/11 data from 110 patients in repository., imaging, mri, segmentation, volume | has parent organization: University of Washington; Seattle; USA | Aging | NIMH ; NIDCD ; NIA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00065 | SCR_004562 | UW Integrated Brain Project Language Map Experiment Management System | 2026-02-14 02:06:20 | 0 | |||||
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SCAN Resource Report Resource Website 500+ mentions |
SCAN (RRID:SCR_005185) | SCAN | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | single nucleotide polymorphism, copy number variation, annotation, genetics, genomics, genome-wide association study, gene, linkage disequilibrium, function, expression quantitative trait loci, expression, quantitative trait loci, chromosome, chromosome region, affymetrix, cerebellum, parietal, liver |
is listed by: OMICtools is listed by: SoftCite has parent organization: University of Chicago; Illinois; USA |
NIMH R01MH090937; NHLBI U01HL084715; NIGMS U01GM61393; NIDDK P60 DK20595; NCI P50 CA125183 |
PMID:25818895 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00181 | SCR_005185 | SCAN: SNP and CNV Annotation Database, SCAN - SNP and CNV Annotation Database | 2026-02-14 02:06:25 | 740 | |||||
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NIMH Video Resource Report Resource Website |
NIMH Video (RRID:SCR_005594) | NIMH Video | data or information resource, video resource | A provider for videos available from the National Institute of Mental Health (NIMH). Visitors may sort by topic and/or subscribe to RSS feeds. | mental health, research, multimedia, trauma, diversity, ethnicity, imaging, medication, suicide, treatment, human | has parent organization: National Institute of Mental Health | NIMH | nlx_146218 | http://www.nimh.nih.gov/news/media/video/index.shtml | SCR_005594 | National Institute of Mental Health Video | 2026-02-14 02:06:29 | 0 | ||||||
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MethylomeDB Resource Report Resource Website 1+ mentions |
MethylomeDB (RRID:SCR_005583) | MethylomeDB | data or information resource, database | A database containing genome-wide brain DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples. Two species were included in the Brain Methylome Database: human and mouse. Human postmortem brain samples were obtained from three distinct cortical regions, i.e., dorsal lateral prefrontal cortex (dlPFC), ventral prefrontal cortex (vPFC), and auditory cortex (AC). Human samples were selected from our postmortem brain collection with extensive neuropathological and psychopathological data, as well as brain toxicology reports. The Department of Psychiatry of Columbia University and the New York State Psychiatric Institute have assembled this brain collection, where a validated psychological autopsy method is used to generate Axis I and II DSM IV diagnoses and data are obtained on developmental history, history of psychiatric illness and treatment, and family history for each subject. The mouse sample (strain 129S6/SvEv) DNA was collected from the entire left cerebral hemisphere. The three human brain regions were selected because they have been implicated in the neuropathology of depression and schizophrenia. Within each cortical region, both disease and non-psychiatric samples have been profiled (matching subjects by age and sex in each group). Such careful matching of subjects allows one to perform a wide range of queries with the ability to characterize methylation features in non-psychiatric controls, as well as detect differentially methylated domains or features between disease and non-psychiatric samples. A total of 14 non-psychiatric, 9 schizophrenic, and 6 depression methylation profiles are included in the database. | brain, dna methylation, dorsal lateral prefrontal cortex, ventral prefrontal cortex, auditory cortex, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
NIH ; NHGRI HG002915; NIMH MH074118 |
PMID:22140101 | OMICS_01843, nlx_146210, biotools:methylomedb | https://bio.tools/methylomedb | SCR_005583 | MethylomeDB - the Brain Methylome Database, Brain Methylome Database | 2026-02-14 02:06:24 | 1 | |||||
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Add Health (National Longitudinal Study of Adolescent Health) Resource Report Resource Website 10+ mentions |
Add Health (National Longitudinal Study of Adolescent Health) (RRID:SCR_007434) | Add Health | data or information resource, database | Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database. | adolescent, longitudinal, adult human, interview, social, behavior, health, early adult human, FASEB list | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Aging | NICHD ; NCI ; CDC ; NIAID ; NIMHD ; NIDCD ; NIGMS ; NIMH ; NINR ; NIA ; NIAAA ; NIDA ; NSF ; NIH ; Department of Health and Human Services ; MacArthur Foundation ; Robert Wood Johnson Foundation |
Restricted use | nif-0000-00621 | SCR_007434 | National Longitudinal Study of Adolescent Health | 2026-02-14 02:06:03 | 37 |
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