Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Preparing word cloud

×

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

Search

Type in a keyword to search

Filter by records added date
See new records

Options


Current Facets and Filters

  • Funding Agency:nia (facet)

Facets


Recent searches

Snippet view Table view
Click the to add this resource to a Collection

204 Results - per page

Show More Columns | Download 204 Result(s)

Resource Name Proper Citation Abbreviations Resource Type Description Keywords Resource Relationships Related Condition Funding Defining Citation Availability Specification URL Alternate IDs Alternate URLs Old URLs Parent Organization Resource ID Authority Synonyms Record Last Update Mentions Count
CloudReg
 
Resource Report
Resource Website
CloudReg (RRID:SCR_022795) data processing software, image analysis software, software application, software resource Software automated, terascale, cloud based image analysis pipeline for preprocessing and cross modal, nonlinear registration between volumetric datasets with artifacts. Automatic terabyte scale cross modal brain volume registration. brain volume, nonlinear registration, automatic terabyte scale, cross modal brain volume registration, image analysis pipeline, volumetric datasets with artifacts is used by: BICCN AP Giannini Foundation ;
Johns Hopkins University Kavli Neuroscience Discovery Institute Postdoctoral Fellowship ;
Karen Toffler Charitable Trust ;
Kavli Neuroscience Discovery Institute ;
Microsoft Research ;
NIA P01AG009973;
NIA R01 AG066184;
NIDA 1K99DA050662;
NIMH K08MH113039;
NIMH R01 MH099647;
NIMH U19MH114821;
NINDS K99 NS116122;
NSF EEC 1707298
PMID:34253927 Free, Available for download, Freely available https://github.com/neurodata/CloudReg/ SCR_022795 SciCrunch Registry 2026-10-17 01:32:13 0
BRAIN Initiative Cell Atlas Network
 
Resource Report
Resource Website
10+ mentions
BRAIN Initiative Cell Atlas Network (RRID:SCR_022794) BICAN data or information resource, portal Provides molecular and anatomical foundational framework for study of brain function and disorders.Comprehensive Center on Human and Non-Human Primate Brain Cell Atlases with goal to build reference brain cell atlases that will be used throughout research community. Cell Atlas Network, study of brain function and disorders, build reference brain cell atlases uses: NIH NeuroBioBank
uses: NeMOarchive
uses: Terra
uses: Brain Image Library
uses: SpinalJ
uses: Cell Annotation Platform
uses: Connectome Workbench
uses: BALSA
uses: Cytosplore Viewer
uses: Cellarium
is related to: BICCN
is related to: Brain Cell Data Viewer
is related to: CZ CELLxGENE Discover
is related to: CATlas
is related to: Epi-Retro-Seq
is related to: NeMO Analytics
is related to: UCSC Cell Browser
is related to: MetaMarkers
is related to: Brain Knowledge Platform
is related to: Human Brain Variation Project
is related to: BRAIN Connects
has parent organization: Allen Institute
has parent organization: Allen Institute for Brain Science
works with: New York Genome Center Sequencing Core Facility
has organization facet: Slide-seq Pipeline
has organization facet: ATAC Pipeline
has organization facet: Multiome Pipeline
has organization facet: Whole Mouse Brain Cell and Genome Atlas
has organization facet: snm3C Pipeline
has organization facet: Paired-Tag Pipeline
has organization facet: NIMP: Neuroanatomy-anchored Information Management Platform for Collaborative BICAN Data Generation
has organization facet: NHash Identifier
has organization facet: Atlas Ontology Model
has organization facet: Allen Brain Map BICCN Data Catalog
has organization facet: Atlas Ontology Model
has organization facet: Early Postnatal Developmental Mouse Brain Atlas
has organization facet: BRAINCELL-AID
has organization facet: JOSA
has organization facet: Annotation Comparison Explorer
has organization facet: Brain Image Library
has organization facet: DELAY
has organization facet: chromograph
has organization facet: fetal_brain_multiomics
has organization facet: CBI BrAinPI
has organization facet: bkbit
has organization facet: BuildIndices
has organization facet: HOMBA Macaque Reference Atlas
has organization facet: HMBA Adult Marmoset Atlas
has organization facet: SlideTags.wdl
has organization facet: storm-control
has organization facet: PIANO:Probabilistic Inference Autoencoder Networks for multi-Omics
has organization facet: BICAN Basal Ganglia Epigenome Explorer
has organization facet: Brain Initiative Cell Atlas Network Data Catalog
has organization facet: BrainKB
has organization facet: CrossExpression
has organization facet: bican-mccarroll-manuscript1
has organization facet: HMBA Adult Human Brain Atlas
has organization facet: Harmonized Ontology of Mammalian Brain Anatomy (HOMBA)
has organization facet: NIMP Analytics
has organization facet: Human Striatum Slide-tags Viewer
has organization facet: Single Cell Multi-Omics Data Analysis Portal
has organization facet: HMBA Adult Rhesus Macaque Brain Atlas
has organization facet: HMBA Adult Cynomolgus Macaque Brain Atlas
has organization facet: Deep SSR
has organization facet: HMBA Adult Marmoset Atlas
has organization facet: Macaque D99 Atlas
has organization facet: SCALPEL
has organization facet: Human and Mammalian Brain Atlas: Basal Ganglia
NIA AG060909;
NIDA 75N95023D00006;
NIH MH130918;
NIMH MH130918;
NIMH MH130919;
NIMH MH130962;
NIMH MH130968;
NIMH MH134812;
NIMH R01MH134799;
NIMH R01MH134800;
NIMH R01MH134809;
NIMH R01MH134833;
NIMH U01MH130995;
NIMH U24MH130988;
NIMH UM1MH130966;
NIMH UM1MH130991;
NIMH UM1MH130994;
NINDS NS133077;
NINDS NS146314
Free, Freely available https://www.braininitiative.org/funding-opportunity/brain-initiative-cell-atlas-network-bican-comprehensive-center-on-human-and-non-human-primate-brain-cell-atlases-um1-clinical-trial-not-allowed/, https://braininitiative.nih.gov/funding-opportunies/brain-initiative-cell-atlas-network-bican-specialized-collaboratory-human-non SCR_022794 SciCrunch Registry 2026-10-17 01:32:39 33
VAMPIRE
 
Resource Report
Resource Website
1+ mentions
VAMPIRE (RRID:SCR_021721) data analysis software, data processing software, image analysis software, software application, software resource Software tool for analysis of cell and nuclear morphology from fluorescence or bright field images. Enables profiling and classification of cells into shape modes based on equidistant points along cell and nuclear contours. Robust method to quantify cell morphological heterogeneity. cell morphology analysis, nuclear morphology analysis, fluorescence images, bright field images NCI R01 CA174388;
NCI U54 CA143868;
NIA P30 AG021334;
NIA U01 AG060903
DOI:10.1038/s41596-020-00432-x Free, Available for download, Freely available SCR_021721 SciCrunch Registry Visually Aided Morpho-Phenotyping Image Recognition 2026-10-17 01:30:52 2
University of Kentucky Alzheimer's Disease Center
 
Resource Report
Resource Website
University of Kentucky Alzheimer's Disease Center (RRID:SCR_008767) UK-ADC data or information resource, disease-related portal, portal, topical portal Alzheimer's Disease Center that serves as the focal point for all Alzheimer's disease-related activities at the University of Kentucky and the Commonwealth of Kentucky providing an environment and core resources that catalyze innovative research, outreach, education, and clinical programs. Their ADC plans to build on its historic strengths and capitalize on emerging opportunities to provide an infrastructure that supports research designed to translate knowledge into therapeutic strategies for AD. They focus on two interrelated themes: Transitions and Translation. Their overall emphasis is to more effectively bridge the gap between basic research and clinical studies by facilitating translational efforts. They also carefully characterize transitions across the spectrum of cognitive impairment (normal/ preclinical AD/ MCI/ dementia), with focus on definition of early disease, and continue to support neuropathology as the bedrock of our center. The Alzheimer Disease Center's 2006-2011 grant award from the National Institute on Aging consists of five cores: * Administrative Core * Clinical Core * Biostatistics and Data Management Core * Neuropathology Core * Education & Information Transfer Core late adult human, brain, memory, clinic, alzheimer has parent organization: Sanders Brown Center on Aging
has parent organization: University of Kentucky; Kentucky; USA
is parent organization of: University of Kentucky's Alzheimer's Disease Center
Cognitive impairment, Alzheimer's disease, Aging, Mild cognitive impairment, Dementia NIA nlx_144058 http://www.mc.uky.edu/coa/clinicalcore/ADC%20home%20page.html SCR_008767 SciCrunch Registry UK Alzheimer's Disease Center, University of Kentucky Alzheimer's Disease Center, Alzheimer's Disease Center at the University of Kentucky 2026-10-17 01:31:10 0
SRI24 Atlas: Normal Adult Brain Anatomy
 
Resource Report
Resource Website
10+ mentions
SRI24 Atlas: Normal Adult Brain Anatomy (RRID:SCR_002551) SRI24 Atlas, SRI24, sri24-atlas atlas, data or information resource, reference atlas An MRI-based atlas of normal adult human brain anatomy, generated by template-free nonrigid registration from images of 24 normal control subjects. The atlas comprises T1, T2, and PD weighted structural MRI, tissue probability maps (GM, WM, CSF), maximum-likelihood tissue segmentation, DTI-based measures (FA, MD, longitudinal and transversal diffusivity), and two labels maps of cortical regions and subcortical structures. The atlas is provided at 1mm isotropic image resolution in Analyze, NIFTI, and Nrrd format. We are also providing an experimental packaging for use with SPM8. analyze, model, magnetic resonance, nifti, nrrd, neuroanatomy, adult human, brain, mri, dti is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC)
has parent organization: Stanford Research Institute International
Normal NIAAA AA005965;
NIAAA AA012888;
NIAAA AA017347;
NIAAA AA017168;
NIA AG017919
PMID:20017133 Free, Available for download, Freely available nlx_155957 SCR_002551 SciCrunch Registry sri24-atlas - MRI-based brain atlas of normal adult human brain anatomy, SRI24 Multi-Channel Atlas of Normal Adult Human Brain Structure 2026-10-17 01:31:52 10
DIAN - Dominantly Inherited Alzheimer Network
 
Resource Report
Resource Website
DIAN - Dominantly Inherited Alzheimer Network (RRID:SCR_000812) DIAN biomaterial supply resource, material resource, tissue bank THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. An international research partnership of leading scientists determined to understand a rare form of Alzheimers disease that is caused by a gene mutation and to establish a research database and tissue repository to support research on Alzheimers disease by other investigators around the world. One goal of DIAN is to study possible brain changes that occur before Alzheimers disease is expressed in people who carry an Alzheimers disease mutation. Other family members without a mutation will serve as a comparison group. People in families in which a mutation has been identified will be tracked in order to detect physical or mental changes that might distinguish people who inherited the mutation from those who did not. DIAN currently involves eleven outstanding research institutions in the United States, United Kingdom, and Australia. John C. Morris, M.D., Friedman Distinguished Professor of Neurology at Washington University School of Medicine in St. Louis, is the principal investigator of the project., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. is listed by: One Mind Biospecimen Bank Listing
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC)
is related to: National Cell Repository for Alzheimer's Disease
has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA
NIA U01AG032438 PMID:23139856
PMID:24131566
THIS RESOURCE IS NO LONGER IN SERVICE nlx_149316 SCR_000812 SciCrunch Registry Dominantly Inherited Alzheimer Network (DIAN), Dominantly Inherited Alzheimer Network 2026-10-17 01:32:56 0
UniProt
 
Resource Report
Resource Website
10000+ mentions
UniProt (RRID:SCR_002380) UniProt data or information resource, database Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB. collection, protein, sequence, annotation, data, functional, information is used by: LIPID MAPS Proteome Database
is used by: ChannelPedia
is used by: Open PHACTS
is used by: DisGeNET
is used by: Smart Dictionary Lookup
is used by: MitoMiner
is used by: Cytokine Registry
is used by: MobiDB
is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition
is used by: Phospho.ELM
is used by: GEROprotectors
is used by: SwissLipids
is recommended by: NIDDK Information Network (dkNET)
is recommended by: National Library of Medicine
is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases
is listed by: re3data.org
is listed by: LabWorm
is related to: Clustal W2
is related to: UniProt DAS
is related to: UniParc at the EBI
is related to: ProDom
is related to: LegumeIP
is related to: Pathway Commons
is related to: NIH Data Sharing Repositories
is related to: FlyMine
is related to: IMEx - The International Molecular Exchange Consortium
is related to: 3D-Interologs
is related to: Biomine
is related to: EBIMed
is related to: STOP
is related to: Coremine Medical
is related to: BioExtract
is related to: STRAP
is related to: GOTaxExplorer
is related to: GoAnnotator
is related to: IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures
is related to: Whatizit
is related to: MOPED - Model Organism Protein Expression Database
is related to: Polbase
is related to: PredictSNP
is related to: PSICQUIC Registry
is related to: IntAct
is related to: p300db
is related to: UniProt Proteomes
is related to: SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation
has parent organization: European Bioinformatics Institute
has parent organization: SIB Swiss Institute of Bioinformatics
has parent organization: Protein Information Resource
is parent organization of: UniProtKB
is parent organization of: NEWT
is parent organization of: UniParc
is parent organization of: UniProt Chordata protein annotation program
is parent organization of: UniRef
works with: Genotate
works with: CellPhoneDB
works with: MOLEonline
works with: MiMeDB
ARUK ;
British Heart Foundation ;
EMBL ;
NCI ;
NCRR P20 RR016472;
NEI ;
NHGRI P41 HG02273;
NHGRI U24 HG007722;
NHGRI U41 HG006104;
NHLBI ;
NIAID ;
NIA ;
NIDDK ;
NIGMS 5R01GM080646;
NIGMS R01 GM080646;
NIMH ;
NLM G08 LM010720;
NSF DBI-0850319;
PDUK
PMID:19843607
PMID:18836194
PMID:18045787
PMID:17142230
PMID:16381842
PMID:15608167
PMID:14681372
nif-0000-00377, SCR_018750, r3d100010357 http://www.ebi.uniprot.org, http://www.uniprot.org/uniprot/, http://www.pir.uniprot.org, ftp://ftp.uniprot.org, https://doi.org/10.17616/R3BW2M SCR_002380 SciCrunch Registry , The Universal Protein Resource, Universal Protein Resource, UNIPROT Universal Protein Resource 2026-10-17 01:32:44 19823
Computational Neurobiology and Imaging Center
 
Resource Report
Resource Website
1+ mentions
Computational Neurobiology and Imaging Center (RRID:SCR_013317) CNIC data or information resource, data set, portal, software resource, topical portal Center to advance research and training in mathematical, computational and modern imaging approaches to understanding the brain and its functions. Software tools and associated reconstruction data produced in the center are available. Researchers study the relationships between neural function and structure at levels ranging from the molecular and cellular, through network organization of the brain. This involves the development of new computational and analytic tools for imaging and visualization of 3-D neural morphology, from the gross topologic characteristics of the dendritic arbor to the fine structure of spines and their synapses. Numerical simulations of neural mechanisms based on these structural data are compared with in-vivo and in-vitro electrophysiological recordings. The group also develops new theoretical and analytic approaches to exploring the function of neural models of working memory. The goal of this analytic work is to combine biophysically realistic models and simulations with reduced mathematical models that capture essential dynamical behaviors while reproducing the functionally important features of experimental data. Research areas include: Imaging Studies, Volume Integration, Visualization Techniques, Medial Axis Extraction, Spine Detection and Classification, Applications of Rayburst, Analysis of Spatially Complex Structures, Computational Modeling, Mathematical and Analytic Studies brain, confocal, in-vitro, in-vivo, microscopy, morphology, morphometric, multi-photon, neural, neural function, neuron, simulation, stack, structure, synapse, topologic, variable, vessel, visualization, image, neuroscience, neurobiology, reconstruction, modeling, spatial, rayburst, spine, arbor, visual, tiling, imaging lists: NeuronStudio
lists: Rayburst Open-Source Code
lists: Volume Integration and Alignment System
lists: Volume Integration and Alignment System Source Code
lists: Polygonized Viewer
lists: NeuroGL
lists: TIFF Stack Sub-Sampler
is related to: NeuroMorpho.Org
is related to: Rayburst Open-Source Code
is related to: Polygonized Viewer
is related to: NeuroGL
is related to: TIFF Stack Sub-Sampler
is related to: NeuronStudio
is related to: Volume Integration and Alignment System
is related to: Volume Integration and Alignment System Source Code
has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA
Aging Howard Hughes Medical Institute ;
NIDCD ;
NIA ;
NIMH
nif-0000-10200 http://www.mssm.edu/cnic/ SCR_013317 SciCrunch Registry 2026-10-17 01:31:37 7
ALSA - The Australian Longitudinal Study of Ageing
 
Resource Report
Resource Website
ALSA - The Australian Longitudinal Study of Ageing (RRID:SCR_013146) ALSA biomaterial supply resource, material resource The general purpose of ALSA is to examine how social, biomedical, psychological, economic, and environmental factors are associated with age-related changes in the health and wellbeing of persons aged 70 years and older. The aim is to analyze the complex relationships between individual and social factors and changes in health status, health care needs and service utilization dimensions, with emphasis given to the effects of social and economic factors on morbidity, disability, acute and long-term care service use, and mortality. The study was designed to have common instrumentation with US studies. ALSA collected data from a random, stratified sample of all persons (both community and institution-dwelling) aged 70 years and older living in the metropolitan area of Adelaide, South Australia, using the State Electoral Database as the sampling frame. Spouses aged 65 and older and other household members aged 70 years and older also were invited to participate. The initial baseline data collection for ALSA began in September 1992 and was completed in March 1993. In the first wave, personal interviews were carried out for 2,087 participants, including 566 couples (that is, persons 70 years of age and over and their spouse, if 65 and over). Clinical assessments were obtained for 1,620 of the participants. Respondents were recontacted by telephone a year after initial interview (wave 2). The third wave of the study began in September 1994 and involved a complete reassessment, with a total of 1,679 interviews and 1,423 clinical assessments. To date, eleven waves of data have been collected, with the latest collection in May 2010, from 168 participants. Six of these waves were conducted via face-to-face interviews and clinical assessments, and five were telephone interviews. Future waves are planned, however are dependent on grant funding. Ancillary data collection has been ongoing since the initiation of the study, e.g., from secondary providers. Lists of ALSA participants are compared biannually with the agencies'' lists to determine the prevalence and incidence of receipt of services from these organizations. Another source of information has been the collection of data from the participants'' general practitioners about the respondent''s health status, history of services received, medication use, referrals to specialists, and current services provided. Baseline Sample Size: 2087 Dates of Study: 1992����������2010 (potentially ongoing) Study Features: * Longitudinal * International * Anthropometric Measures * Biospecimens Waves 1-5 (ICPSR), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06707 Wave 6 (ICPSR), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03679 has parent organization: Flinders University; Adelaide; Australia Aging Office for the Ageing ;
ECH Inc ;
Premier Science Research Fund ;
National Health and Medical Research Council Australia ID22922;
Australian Research Council Discovery Projects DP0879152;
NIA AG08523
Public: The ALSA study welcomes requests from people for access to the data. Requests for data must be in writing, Using the ALSA Study Data Request Form (DOC 56KB). Data are archived at ICPSR. nlx_149436 SCR_013146 SciCrunch Registry Australian Longitudinal Study of Ageing, Australian Longitudinal Study of Aging (ALSA), Australian Longitudinal Study of Aging, ALSA - The Australian Longitudinal Study of Aging, Australian Longitudinal Study of Ageing (ALSA) 2026-10-17 01:34:10 0
Blood Exposome Database
 
Resource Report
Resource Website
10+ mentions
Blood Exposome Database (RRID:SCR_017610) data or information resource, database Collection of chemical compounds and associated information that were automatically extracted by text mining content of PubMed and PubChem databases. Unifies chemical lists from metabolomics, systems biology, environmental epidemiology, occupational expossure, toxiology and nutrition fields. Chemical, compound, collection, extracted, text, mining, PubMed chemical compounds list, PubChem chemical compounds list, bio.tools is listed by: Debian
is listed by: bio.tools
has parent organization: University of California at Davis; California; USA
NIAID U54 AI138370;
NIA U19 AG023122;
NIEHS U2C ES030158
PMID:31557052 Free, Available for download, Freely available biotools:blood-exposome-db https://github.com/barupal/exposome, https://bio.tools/blood-exposome-db SCR_017610 SciCrunch Registry The Blood Exposome Database, exposome 2026-10-17 01:35:30 11
Seattle Alzheimer Disease Brain Cell Atlas
 
Resource Report
Resource Website
10+ mentions
Seattle Alzheimer Disease Brain Cell Atlas (RRID:SCR_023110) SEA-AD atlas, data or information resource Open atlas based on single cell profiling technologies with quantitative neuropathology and deep clinical phenotyping from middle temporal gyrus from neurotypical reference brains and brains from SEA-AD aged cohort that span spectrum of Alzheimer’s disease. Produced via collaboration between Allen Institute for Brain Science, University of Washington Alzheimer Disease Research Center and Kaiser Permanente Washington Health Research Institute. Alzheimer’s disease, single cell profiling, quantitative neuropathology, deep clinical phenotyping, middle temporal gyrus, neurotypical reference brains, SEA-AD aged cohort brains, is related to: BRAIN Initiative
is related to: Allen Institute for Brain Science
is related to: University of Washington; Seattle; USA
Alzheimer’s disease NIA U19AG060909 Free, Freely available SCR_023110 SciCrunch Registry 2026-10-17 01:35:36 17
New Beneficiary Data System
 
Resource Report
Resource Website
New Beneficiary Data System (RRID:SCR_013320) NBDS data or information resource, data set Data set of extensive information on the changing circumstances of aged and disabled beneficiaries - Living, noninstitutionalized population of the continental United States from the Social Security Administration''''s Master Benefit Record who were new recipients of Social Security benefits (first payment in mid-1980 through mid-1981) or who had established entitlement to Medicare and were eligible for, but had not received, Social Security benefits as of July 1982. Based initially on a national cross-sectional survey of new beneficiaries in 1982, the original data base was expanded with information from administrative records and a second round of interviews in 1991. Variables measured in the original New Beneficiary Survey (NBS) include demographic characteristics; employment, marital, and childbearing histories; household composition; health; income and assets; program knowledge; and information about the spouses of married respondents. The 1991 New Beneficiary Follow-up (NBF) updated marital status, household composition, and the economic profile and contains additional sections on family contacts, postretirement employment, effects of widowhood and divorce, major reasons for changes in economic status, a more extensive section on health, and information on household moves and reasons for moving. Disabled-worker beneficiaries were also asked about their efforts to return to work, experiences with rehabilitation services, and knowledge of SSA work incentive provisions. The NBDS also links to administrative files of yearly covered earnings from 1951 to 1992, Medicare expenditures from 1984 to 1999, whether an SSI application has ever been made and payment status at five points in time, and dates of death as of spring 2001. For studies of health, the Medicare expenditure variables include inpatient hospital costs, outpatient hospital costs, home health care costs, and physicians'''' charges. The survey data cover functional capacity including ADLs and IADLs. For studies of work in retirement, the survey includes yearly information on extent of work, characteristics of the current or last job, and reasons for working or not working. No other data set has such detailed baseline survey data of a population immediately after retirement or disability, enhanced with subsequent measures over an extended period of time. The data are publicly available through NACDA and the Social Security Administration Website. * Dates of Study: 1982-1991 * Study Features: Longitudinal * Sample Size: ** 18,136 (NBS 1981) ** 12,677 (NBF 1991) Links: * 1982 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08510 * 1991 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06118 late adult human, employment, marital status, childbearing, household composition, health, income, asset, program knowledge, spouse, survey, demographic, government service, job history, occupation, public program, social security, welfare service, longitudinal, health care, interview, questionnaire, insurance coverage, financial resource, family support, non-institutionalized, beneficiary, death, economic, health care access, health care service, health expenditure, health insurance, health services utilization, health status, medical care, medicare, social support 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: U.S. Social Security Administration
Aging, Disabled NIA ;
U.S. Social Security Administration ;
HCFA ;
ASPE ;
OASH ;
AHCPR
Public nlx_152057 SCR_013320 SciCrunch Registry New Beneficiary Data System (NBDS) 2026-10-17 01:35:44 0
International Data Base
 
Resource Report
Resource Website
10+ mentions
International Data Base (RRID:SCR_013139) IDB data or information resource, data set A computerized data set of demographic, economic and social data for 227 countries of the world. Information presented includes population, health, nutrition, mortality, fertility, family planning and contraceptive use, literacy, housing, and economic activity data. Tabular data are broken down by such variables as age, sex, and urban/rural residence. Data are organized as a series of statistical tables identified by country and table number. Each record consists of the data values associated with a single row of a given table. There are 105 tables with data for 208 countries. The second file is a note file, containing text of notes associated with various tables. These notes provide information such as definitions of categories (i.e. urban/rural) and how various values were calculated. The IDB was created in the U.S. Census Bureau''s International Programs Center (IPC) to help IPC staff meet the needs of organizations that sponsor IPC research. The IDB provides quick access to specialized information, with emphasis on demographic measures, for individual countries or groups of countries. The IDB combines data from country sources (typically censuses and surveys) with IPC estimates and projections to provide information dating back as far as 1950 and as far ahead as 2050. Because the IDB is maintained as a research tool for IPC sponsor requirements, the amount of information available may vary by country. As funding and research activity permit, the IPC updates and expands the data base content. Types of data include: * Population by age and sex * Vital rates, infant mortality, and life tables * Fertility and child survivorship * Migration * Marital status * Family planning Data characteristics: * Temporal: Selected years, 1950present, projected demographic data to 2050. * Spatial: 227 countries and areas. * Resolution: National population, selected data by urban/rural * residence, selected data by age and sex. Sources of data include: * U.S. Census Bureau * International projects (e.g., the Demographic and Health Survey) * United Nations agencies Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08490 demographics, economic, social, population, health, nutrition, mortality, fertility, family planning, contraceptive use, literacy, housing, agriculture, birth control, birth rate, education, employment, ethnicity, fertility rate, gross national product, health care facility, household, housing, immigration, income, labor force, literacy, nutrition, occupation, migration, religion, unemployment, vital statistic, child, international is listed by: Inter-university Consortium for Political and Social Research (ICPSR)
has parent organization: U.S. Census Bureau
Aging, All NIA PMID:12267286 Public nlx_151837 SCR_013139 SciCrunch Registry International Database 2026-10-17 01:37:15 10
Stark Cross-Sectional Aging
 
Resource Report
Resource Website
1+ mentions
Stark Cross-Sectional Aging (RRID:SCR_014171) data or information resource, data set Behavioral and imaging data from about 120 participants aged 18-89. Data were collected as part of a grant to use high-resolution imaging and advanced behavioral tasks to understand how aging affects the hippocampus and how this is related to age-related cognitive decline. The full dataset includes traditional neuropsycholgical measures, hippocampal-specific behavioral measures, whole-brain DTI, high-resolution DTI of the medial temporal lobes, and structural MRI including segmentation of grey/white/CSF, of cortical regions and of hippocampal subfields. data set, aging, hippocampus, behavioral, dti, mri, image uses: Neuroimaging Informatics Technology Initiative
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC)
has parent organization: University of California at Irvine; California; USA
NIA R01 AG034613 Available to the research community SCR_014171 SciCrunch Registry 2026-10-17 01:35:44 1
Efficient Permutation Testing
 
Resource Report
Resource Website
Efficient Permutation Testing (RRID:SCR_014104) software resource, source code A Matlab implementation for efficient permutation testing by using matrix completion. permutation, nueroimaging, source code, fast, matlab uses: MATLAB
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC)
has parent organization: University of Wisconsin-Madison; Wisconsin; USA
Wisconsin Partnership Fund ;
NIA R01 AG040396;
NSF CAREER 1252725;
NSF RI 1116584;
UW ADRC NIA P50 AG033514;
UW ICTR NCRR 1UL1RR025011;
Veterans Administration Merit Review I01CX000165
Available for download, Acknowledgement requested http://pages.cs.wisc.edu/~vamsi/pt_fast.html SCR_014104 SciCrunch Registry Speeding Up Permutation Testing in Neuroimaging 2026-10-17 01:37:16 0
Aging Status and Sense of Control (ASOC)
 
Resource Report
Resource Website
Aging Status and Sense of Control (ASOC) (RRID:SCR_013500) ASOC data or information resource, data set A dataset generated longitudinal study that aims to explain the relationship between age and changes in the sense of control over one''''s life, over two follow-up periods. The main hypotheses are (a) over a period of time, the sense of control declines by an amount that increases with age; (b) the change in sense of control reflects an underlying change in biosocial function, which accelerates with age; (c) higher social status slows the decline in the sense of control, possibly by preserving biosocial function; and (d) changes in biosocial function and in the sense of control have deviation-amplifying reciprocal effects that accelerate age-dependent changes in the sense of control. This was a three-wave panel survey with fixed 3-year intervals and repeated assessments of the same variables. Questionnaire topics focused on: physical health (subjective health; activities of daily living; height and weight; health conditions; expected personal longevity); health behavior (exercise, smoking, diet, alcohol use); use of medical services (medical insurance coverage, prescription drug use); work status (current employment status; title of current job or occupation and job description; types of work, tasks, or activities; description of work or daily activity and interactions; supervisory status; management position and level; work history); sense of controlextent of agreement or disagreement with planning and responsibility versus luck and bad breaks; sense of victimhood versus control; social support and participation; personal and household demographics; marital and family relations; socioeconomic status; history of adversity. * Dates of Study: 1994-2001 * Sample Size: 2,593 (Waves 1-2); 1.144 (Wave 3) * Study Features: Longitudinal Data Archives: http://www.sscnet.ucla.edu/issr/da/da_catalog/da_catalog_titleRecord.php?studynumber=I3334V1 longitudinal, control, physical health, health behavior, late adult human, activities of daily living, disease, health services utilization, health status, life event, life satisfaction, mental health, physical fitness, self concept, social network, social status, survey data, telephone interview 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: University of Texas at Austin; Texas; USA
Aging NIA RO1-AG12393 Public: The first three waves of data are available at ICPSR. nlx_151355 SCR_013500 SciCrunch Registry Aging Status and Sense of Control, Aging Status Sense of Control (ASOC) 2026-10-17 01:35:43 0
Longitudinal Studies of Aging
 
Resource Report
Resource Website
Longitudinal Studies of Aging (RRID:SCR_013355) LSOA, LSOAs data or information resource, data set A data set of a multicohort study of persons 70 years of age and over designed primarily to measure changes in the health, functional status, living arrangements, and health services utilization of two cohorts of Americans as they move into and through the oldest ages. The project is comprised of four surveys: * The 1984 Supplement on Aging (SOA) * The 1984-1990 Longitudinal Study of Aging (LSOA) * The 1994 Second Supplement on Aging (SOA II) * The 1994-2000 Second Longitudinal Study of Aging (LSOA II) The surveys, administered by the U.S. Census Bureau, provide a mechanism for monitoring the impact of proposed changes in Medicare and Medicaid and the accelerating shift toward managed care on the health status of the elderly and their patterns of health care utilization. SOA and SOA II were conducted as part of the in-person National Health Interview Survey (NHIS) of noninstitutionalized elderly people aged 55 years and over living in the United States in 1984, and at least 70 years of age in 1994, respectively. The 1984 SOA served as the baseline for the LSOA, which followed all persons who were 70 years of age and over in 1984 through three follow-up waves, conducted by telephone in 1986, 1988, and 1990. The SOA covered housing characteristics, family structure and living arrangements, relationships and social contracts, use of community services, occupation and retirement (income sources), health conditions and impairments, functional status, assistance with basic activities, utilization of health services, nursing home stays, and health opinions. Most of the questions from the SOA were repeated in the SOA II. Topics new to the SOA II included use of assistive devices and medical implants; health conditions and impairments; health behaviors; transportation; functional status, assistance with basic activities, unmet needs; utilization of health services; and nursing home stays. The major focus of the LSOA follow-up interviews was on functional status and changes that had occurred between interviews. Information was also collected on housing and living arrangements, contact with children, utilization of health services and nursing home stays, health insurance coverage, and income. LSOA II also included items on cognitive functioning, income and assets, family and childhood health, and more extensive health insurance information. The interview data are augmented by linkage to Medicare enrollment and utilization records, the National Death Index, and multiple cause-of-death records. Data Availability: Copies of the LSOA CD-ROMs are available through the NCHS or through ICPSR as Study number 8719. * Dates of Study: 1984-2000 * Study Features: Longitudinal * Sample Size: ** 1984: 16,148 (55+, SOA) ** 1984: 7,541(70+, LSOA) ** 1986: 5,151 (LSOA followup 1) ** 1988: 6,921 (LSOA followup 2) ** 1990: 5,978 (LSOA followup 3) ** 1994-6: 9,447 (LSOA II baseline) ** 1997-8: 7,998 (LSOA II wave 2) ** 1999-0: 6,465 (LSOA II wave 3) Link: * LSOA 1984-1990 ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08719 health, functional status, living arrangement, health services utilization, late adult human, american, longitudinal, assisted living, chronic disability, chronic illness, disability, health care, health care service, illness, independent living, medicare, mortality rate, supportive services, mortality, survey, behavior, interview, housing, demographic, social, economic, middle adult human is listed by: Inter-university Consortium for Political and Social Research (ICPSR)
is related to: Nihon University Japanese Longitudinal Study of Aging
has parent organization: Centers for Disease Control and Prevention
Aging National Center for Health Statistics ;
NIA
Public nlx_151843 SCR_013355 SciCrunch Registry LSOA - Longitudinal Studies of Aging, Longitudinal Studies of Aging (LSOAs) 2026-10-17 01:37:16 0
Alameda County Health and Ways of Living Study
 
Resource Report
Resource Website
Alameda County Health and Ways of Living Study (RRID:SCR_008889) Health and Ways of Living Study data or information resource, data set Data set from a long-term population-based prospective study of non-institutionalized residents (aged 21 or older, or aged 16-21 and older if married) in Alameda County, California investigating social and behavioral risk factors for morbidity, mortality, functioning and health. Questions were asked on marital and life satisfaction, parenting, physical activities, employment, health status, and childhood experiences. Demographic information on age, race, height, weight, education, income, and religion was also collected. Included with this dataset is a separate file (part 2) containing mortality data. With the aging of this cohort, data are becoming increasingly valuable for examining the life-long cumulative effects of social and behavioral factors on a well-characterized population. The first wave collected information for 6,928 respondents (including approximately 500 women aged 65 years and older) on chronic health conditions, health behaviors, social involvements, and psychological characteristics. The 1974 questionnaire was sent to 6,246 living subjects who had responded in 1965, and were able to be located. The third wave provides a follow-up of 2,729 original 1965 and 1974 respondents and examines health behaviors such as alcohol consumption and smoking habits, along with social activities. Also included is information on health conditions such as diabetes, osteoporosis, hormone replacement, and mental illness. Another central topic investigated is activities of daily living (including self-care such as dressing, eating, and shopping), along with use of free time and level of involvement in social, recreational, religious, and environmental groups. The fourth wave is a follow-up to the 1994 panel and examines changes in functional abilities such as self-care activities, employment, involvement in community activities, visiting friends/family, and use of free time since 1994. * Dates of Study: 1965-1999 * Sample Size: 1965: 6,928; 1974: 4,864; 1994: 2,729; 1995: 2,569, 1999: 2,123 * Study Features: Longitudinal Links: * 1965 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06688 * 1974 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06838 * 1994 and 1995 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03083 * 1999 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04432#summary longitudinal, adult, adolescent, social, behavior, risk factor, morbidity, mortality, functioning, health, woman, late adult human, chronic health condition, psychological characteristic, questionnaire, activities of daily living, chronic illness, community involvement, health behavior, health care service, independent living, living arrangement, mental health, physical condition, social behavior, social life, social network, survey data 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: University of Michigan; Ann Arbor; USA
Households in Alameda County, California., Aging NIA 5 R37 AG11375-03 Public nlx_151356 SCR_008889 SciCrunch Registry Alameda County [California] Health and Ways of Living Study, Alameda County Health Ways Living Study 2026-10-17 01:35:01 0
Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets
 
Resource Report
Resource Website
1+ mentions
Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets (RRID:SCR_008921) Early Indicators of Later Work Levels Disease and Death, EI project data or information resource, data set A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836 late adult human, male, caucasian, african-american, veteran, military, medical, socioeconomic, civil war, american civil war, cause of death, census data, demographic, disease, health status, labor force, medical record, midlife, military pension, pension, military recruitment, military service, mortality rate, nineteenth century, nutrition, socioeconomic status, twentieth century, union army, census is related to: National Archive of Computerized Data on Aging (NACDA)
has parent organization: University of Chicago; Illinois; USA
Aging NIA PO1 AG10120;
NSF SBR 9114981
Publicly available from ICPSR; copies on CD-ROM may be obtained from the CPE, Which also maintains an interactive Internet Data Archive and Documentation Library. nlx_151822 http://www.cpe.uchicago.edu/ SCR_008921 SciCrunch Registry Public Health and Ecological Datasets, Aging of Veterans of the Union Army, Early Indicators of Later Work Levels Disease and Death ������?? Union Army Samples 2026-10-17 01:35:31 1
Puerto Rican Elderly: Health Conditions
 
Resource Report
Resource Website
Puerto Rican Elderly: Health Conditions (RRID:SCR_008916) PREHCO data or information resource, data set A dataset that provides researchers and policy makers information about issues affecting the elderly population in Puerto Rico: health status, housing arrangements, functional status, transfers, labor history, migration, income, childhood characteristics, health insurance, use of health services, marital history, mistreat, sexuality, etc. It investigates the characteristics of older adults (aged 60+) through an island-wide cross-sectional sample survey of target individuals and their surviving spouses. The sampling frame was constructed on the basis of an advance release of the 2000 US Census. The population for the study consists of the elderly population (60+) in households in Puerto Rico. The sample design used a multistage probabilistic sample by cluster. All elderly adults who lived in the selected households were eligible. If more than one person was in the target population, one 60+ adult was the target and one was the spouse. Respondents 80+ and males in couples who were both 80+ were oversampled. There were 4,293 targets aged 60+ and 1,444 spouses (all ages) in the first wave. Types of data include demographic; household composition; marital history; Cantrill Scale; mini-mental (designed to measure cognitive capacity of Spanish-speaking Latinos with low levels of education and to provide early indications of dementia); self-reported health status; diagnosed health conditions; childhood conditions; transfers; labor history; migration; housing; assets; Activities of Daily Living; Instrumental Activities of Daily Living; medicines; health insurance and use of health services; family structure; sexuality; anthropometric measures. Project innovations include: (1) the design and test of a new tool for assessing cognition among Spanish speaking elderly of low levels of education, (2) a symptoms section to assess the validity of selected self reported conditions, (3) a modification of the Cantrill''s Ladder Scale, (4) protocols for physical measurements to assess current, as well as past, conditions, and (5) the use of GIS and GPS in the fieldwork supervision and to geocoding the survey data. At this moment PREHCO has completed a second wave to become a longitudinal study. The questionnaire included questions regarding the changing conditions (health, residential, social and economic) of those individuals who responded the first questionnaire. The new questionnaire included novel components: vignettes for health status self-report, a new improved section on disability and dependency, and on labor force participation. We also expanded the section of anthropometry by adding a few measurements and physical efficiency tests. Those participants deceased or institutionalized were interviewed using a proxy. Data Availability: First and second wave data are available for public use through BADGIR, the online data archive at the University of Wisconsin-Madison, at: http://nesstar.ssc.wisc.edu/ * Dates of Study: 2002-2003, 2004-2006 * Study Features: Longitudinal, International, Minority Oversampling, Anthropometric measures * Sample Size: 5,336 longitudinal, international, minority oversampling, anthropometric measure, late adult human, questionnaire, puerto rico, health, residence, social, economic, self-report, disability, dependency, labor force has parent organization: University of Wisconsin-Madison; Wisconsin; USA
has parent organization: University of Puerto Rico; Puerto Rico; USA
Late adult human, Aging NIA RO1 AG1620901A2 Public nlx_151829 SCR_008916 SciCrunch Registry Puerto Rican Elderly: Health Conditions (PREHCO), Health Conditions of Elderly Puerto Ricans (PREHCO) 2026-10-17 01:35:02 0

Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
X
  1. Neuroscience Information Framework Resources

    Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Collections

    If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  6. Facets

    Here are the facets that you can filter the data by.

  7. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.