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http://phenome.jax.org/

Database enables integration of genomic and phenomic data by providing access to primary experimental data, data collection protocols and analysis tools. Data represent behavioral, morphological and physiological disease-related characteristics in naive mice and those exposed to drugs, environmental agents or other treatments. Collaborative standardized collection of measured data on laboratory mouse strains to characterize them in order to facilitate translational discoveries and to assist in selection of strains for experimental studies. Includes baseline phenotype data sets as well as studies of drug, diet, disease and aging effect., protocols, projects and publications, and SNP, variation and gene expression studies. Provides tools for online analysis. Data sets are voluntarily contributed by researchers from variety of institutions and settings, or retrieved by MPD staff from open public sources. MPD has three major types of strain-centric data sets: phenotype strain surveys, SNP and variation data, and gene expression strain surveys. MPD collects data on classical inbred strains as well as any fixed-genotype strains and derivatives that are openly acquirable by the research community. New panels include Collaborative Cross (CC) lines and Diversity Outbred (DO) populations. Phenotype data include measurements of behavior, hematology, bone mineral density, cholesterol levels, endocrine function, aging processes, addiction, neurosensory functions, and other biomedically relevant areas. Genotype data are primarily in the form of single-nucleotide polymorphisms (SNPs). MPD curates data into a common framework by standardizing mouse strain nomenclature, standardizing units (SI where feasible), evaluating data (completeness, statistical power, quality), categorizing phenotype data and linking to ontologies, conforming to internal style guides for titles, tags, and descriptions, and creating comprehensive protocol documentation including environmental parameters of the test animals. These elements are critical for experimental reproducibility.

Proper citation: Mouse Phenome Database (MPD) (RRID:SCR_003212) Copy   

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http://www.genenetwork.org/

Web platform that provides access to data and tools to study complex networks of genes, molecules, and higher order gene function and phenotypes. Sequence data (SNPs) and transcriptome data sets (expression genetic or eQTL data sets). Quantitative trait locus (QTL) mapping module that is built into GN is optimized for fast on-line analysis of traits that are controlled by combinations of gene variants and environmental factors. Used to study humans, mice (BXD, AXB, LXS, etc.), rats (HXB), Drosophila, and plant species (barley and Arabidopsis). Users are welcome to enter their own private data.

Proper citation: GeneNetwork (RRID:SCR_002388) Copy   

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https://adrc.mc.duke.edu/index.php/research/brain-bank

A research repository of human brains with neurological disorders and normal controls, recruited through the Autopsy and Brain Donation Program coordinator. The Kathleen Price Bryan Brain Bank contains brains from patients with Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis, Huntington's disease, Muscular Dystrophy, and other neurological and dementing disorders. The brain tissue is subjected to a detailed neuropathological evaluation and then stored as fixed and frozen hemispheres, paraffin blocks and histological slides. After receipt of an IRB approved request, tissue is supplied to investigators at Duke University, major medical centers and pharmaceutical companies across the United States and worldwide.

Proper citation: Duke University Kathleen Price Bryan Brain Bank (RRID:SCR_005022) Copy   

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http://health.usf.edu/byrd/adrc/index.htm

A statewide consortium dedicated to Alzheimer's disease research to better understand the disease and related memory disorders. It includes Alzheimer's researchers and clinicians from institutions across Florida such as USF Health, Mayo Clinic Jacksonville, and Mount Sinai Medical Center. The purpose of the ADRC is to assist institutions in developing an infrastructure (cores) that can be used for various research projects with the goal of better understanding Alzheimer's disease and related disorders. The Florida ADRC is comprised of six cores, three projects and three pilot projects among other collaborations that utilize these cores.

Proper citation: Florida Alzheimer's Disease Research Center (RRID:SCR_004940) Copy   

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http://www.brain.northwestern.edu/index.html

The Cognitive Neurology and Alzheimer's Disease Center (CNADC) is a multidisciplinary organization dedicated to conducting research to discover how the brain coordinates mental functions such as memory, language, attention, and emotion; transferring the benefits of this research to patients with brain diseases that impair cognitive function; and training researchers and clinicians who want to work in this field. The CNADC's mission is to investigate the neurological basis of cognitive function, to elucidate causes of dementia, and to ensure that the patients and their families are the beneficiaries of resultant discoveries. * Clinical Services: Neurobehavior and Memory Health Clinical Services * Annual Grant Opportunities: Annual Core Pilot Project Funding Opportunities * Research Areas & Faculty: Alzheimer's Disease / Primary Progressive Aphasia / Frontal Dementia, Brain Endowment (Brains are permanently stored, and requests for tissue for research purposes are submitted to Dr. Bigio for review by the Northwestern Alzheimer's Disease Center); Cognitive Brain Mapping Group, Volunteer For A Study * Fellowships: Neuropathology Fellowship, Behavioral Neurology & Neuropsychiatry Fellowship * Training Programs: Mechanisms of Aging and Dementia (M.A.D.) Training Program; Training Program in the Neuroscience of Human Cognition

Proper citation: Northwestern University Cognitive Neurology and Alzheimers Disease Center (RRID:SCR_012747) Copy   

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https://www.nia.nih.gov/alzheimers

Portal for Alzheimer's disease that compiles, archives and disseminates information about current treatments, diagnostic tools and ongoing research for health professions, people with AD, their families and the public. The Center provides informational services and referrals for AD symptoms, diagnosis and treatment for patients; clinical trial information and literature searches for researchers; training materials and guidelines for caregivers; and Spanish language resources.

Proper citation: Alzheimer's Disease Education and Referral Center (RRID:SCR_012787) Copy   

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http://umcd.humanconnectomeproject.org

Web-based repository and analysis site for connectivity matrices that have been derived from neuroimaging data including different imaging modalities, subject groups, and studies. Users can analyze connectivity matrices that have been shared publicly and upload their own matrices to share or analyze privately.

Proper citation: USC Multimodal Connectivity Database (RRID:SCR_012809) Copy   

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http://www.grc.nia.nih.gov/branches/blsa/blsanew.htm

America''s longest-running scientific study of human aging, begun in 1958. BLSA scientists are learning what happens as people age and how to sort out changes due to aging from those due to disease or other causes. More than 1,400 men and women are study volunteers. They range in age from their 20s to their 90s. This study is currently recruiting healthy seniors over 70.

Proper citation: Baltimore Longitudinal Study of Aging (BLSA) (RRID:SCR_013148) Copy   

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https://delaney.shinyapps.io/CAIRN/

Web tool to graph all copy number alterations present in segment file. Custom data is permitted. Allows to display copy number alterations which overlap user specified region, to quantify number of amplified CNAs and deleted CNAs. Visualization tool to explore copy number alterations discovered in published cancer datasets. Intended to help oncology community observe of relative rates of amplification, deletion, and mutation of interesting genes and regions.

Proper citation: CAIRN (RRID:SCR_019101) Copy   

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http://www.nitrc.org/projects/cta_toolbox

A Matlab tool to perform statistical analysis on cortical thickness signals on brain surfaces obtained from Freesurfer. It is used for multi-resolutional analysis of such cortical thickness signals and detecting group differences. It is based on the Spectral Graph Wavelet Transform (SGWT) toolbox and provides plug and play methods for deriving Wavelet Multiscale Descriptor (WMD), cortical thickness smoothing using SGWT, Multivariate General Linear Model (MGLM), and False Discovery Rate (FDR).

Proper citation: Wisconsin Cortical Thickness Analysis (CTA) Toolbox (RRID:SCR_014180) Copy   

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https://github.com/HussainiLab/BatchTINTV3

GUI created by the Taub Institute in order to create an end-user friendly batch processing solution to complement Axona's new command line modification of TINT. This GUI allows the user to define a directory. Within this directory it will be continuously (unless closed) searching for new files to analyze via TINT.

Proper citation: BatchTINT (RRID:SCR_014804) Copy   

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https://exrna-atlas.org

Software tool as data and metadata repository of Extracellular RNA Communication Consortium. Atlas includes small RNA sequencing and qPCR derived exRNA profiles from human and mouse biofluids. All RNAseq datasets are processed using version 4 of exceRpt small RNAseq pipeline. Atlas accepts submissions for RNAseq or qPCR data.

Proper citation: exRNA Atlas (RRID:SCR_017221) Copy   

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Issue

https://www.nature.com/articles/nprot.2014.042

Software tool as scripts for calculating NMR chemical shifts. Warning - this group of Python scripts used to process NMR data, described in Willoughby et al, 2014, has been found to contain bug. Please see PMID:31591889.

Proper citation: Willoughby–Hoye Python Scripts A-D (RRID:SCR_017562) Copy   

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http://www.iu.edu/~beca/

Visualization and analysis software for interactive visual exploration and mining of fiber-tracts and brain networks with their genetic determinants and functional outcomes. BECA includes an fMRI and Diseases Analysis version as well as a Genome Explorer version.

Proper citation: BECA (RRID:SCR_015846) Copy   

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https://github.com/dmgroppe/Mass_Univariate_ERP_Toolbox

Software toolkit of Matlab functions for analyzing and visualizing large numbers of t-tests performed on event-related potential data. The toolbox supports within-subject and between-subject t-tests with false discovery rate controls and control of the family-wise error rate via permutation tests.

Proper citation: Mass Univariate ERP Toolbox (RRID:SCR_016108) Copy   

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http://www.demogr.mpg.de/databases/ktdb/

A database that includes data on death counts and population counts classified by sex, age, year of birth, and calendar year for more than 30 countries. This database was established for estimating the death rates at the highest ages (above age 80). The core set of data in the database was assembled, tested for quality, and converted into cohort mortality histories by V��in�� Kannisto, the former United Nations advisor on demographic and social statistics. Comparable materials on England and Wales, was made available by A. Roger Thatcher, the former Director of the Office of Population Censuses and Surveys and Registrar-General of England and Wales (Kannisto, 1994). The Kannisto-Thatcher database was computerized under the supervision of James W. Vaupel at the Aging Research Unit of the Centre for Health and Social Policy at Odense University Medical School in 1993. Currently, the database is maintained by the Max Planck Institute for Demographic Research, Germany.

Proper citation: Kannisto-Thatcher Database on Old Age Mortality (RRID:SCR_008936) Copy   

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http://www.icpsr.umich.edu/icpsrweb/NACDA/Pledge/all.jsp

A data set of cross-nationally comparable microdata samples for 15 Economic Commission for Europe (ECE) countries (Bulgaria, Canada, Czech Republic, Estonia, Finland, Hungary, Italy, Latvia, Lithuania, Romania, Russia, Switzerland, Turkey, UK, USA) based on the 1990 national population and housing censuses in countries of Europe and North America to study the social and economic conditions of older persons. These samples have been designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. A common set of nomenclatures and classifications, derived on the basis of a study of census data comparability in Europe and North America, was adopted as a standard for recoding. This series was formerly called Dynamics of Population Aging in ECE Countries. The recommendations regarding the design and size of the samples drawn from the 1990 round of censuses envisaged: (1) drawing individual-based samples of about one million persons; (2) progressive oversampling with age in order to ensure sufficient representation of various categories of older people; and (3) retaining information on all persons co-residing in the sampled individual''''s dwelling unit. Estonia, Latvia and Lithuania provided the entire population over age 50, while Finland sampled it with progressive over-sampling. Canada, Italy, Russia, Turkey, UK, and the US provided samples that had not been drawn specially for this project, and cover the entire population without over-sampling. Given its wide user base, the US 1990 PUMS was not recoded. Instead, PAU offers mapping modules, which recode the PUMS variables into the project''''s classifications, nomenclatures, and coding schemes. Because of the high sampling density, these data cover various small groups of older people; contain as much geographic detail as possible under each country''''s confidentiality requirements; include more extensive information on housing conditions than many other data sources; and provide information for a number of countries whose data were not accessible until recently. Data Availability: Eight of the fifteen participating countries have signed the standard data release agreement making their data available through NACDA/ICPSR (see links below). Hungary and Switzerland require a clearance to be obtained from their national statistical offices for the use of microdata, however the documents signed between the PAU and these countries include clauses stipulating that, in general, all scholars interested in social research will be granted access. Russia requested that certain provisions for archiving the microdata samples be removed from its data release arrangement. The PAU has an agreement with several British scholars to facilitate access to the 1991 UK data through collaborative arrangements. Statistics Canada and the Italian Institute of statistics (ISTAT) provide access to data from Canada and Italy, respectively. * Dates of Study: 1989-1992 * Study Features: International, Minority Oversamples * Sample Size: Approx. 1 million/country Links: * Bulgaria (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02200 * Czech Republic (1991), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06857 * Estonia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06780 * Finland (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06797 * Romania (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06900 * Latvia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02572 * Lithuania (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03952 * Turkey (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03292 * U.S. (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06219

Proper citation: Census Microdata Samples Project (RRID:SCR_008902) Copy   

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http://www.mhasweb.org/

A dataset of a prospective panel study of health and aging in Mexico. The study was designed to ensure comparability with the U.S. Health and Retirement Study in many domains, and the NHANES III. The baseline survey in 2001 is nationally representative of the 13 million Mexicans born prior to 1951. The six Mexican states which are home to 40% of all migrants to the U.S. were over-sampled at a rate of 1.7:1. Spouse/partners of eligible respondents were interviewed also, even if the spouse was born after 1950. Completed interviews were obtained in 9,862 households, for a total of 15,186 individual interviews. All interviews were face-to-face, with average duration of 82 minutes. A direct interview (on the Basic questionnaire) was sought, and Proxy interviews were obtained when poor health or temporary absence precluded a direct interview. Questionnaire topics included the following: * HEALTH MEASURES: self-reports of conditions, symptoms, functional status, hygienic behaviors (e.g., smoking & drinking history), use/source/costs of health care services, depression, pain, reading and cognitive performance; * BACKGROUND: Childhood health and living conditions, education, ability to read/write and count, migration history, marital history; * FAMILY: rosters of all children (including deceased children); for each, demographic attributes, summary indicators of childhood and current health, education, current work status, migration. Parent and sibling migration experiences; * TRANSFERS: financial and time help given to and received by respondent from children, indexed to specific child; time and financial help to parent; * ECONOMIC: sources and amounts of income, including wages, pensions, and government subsidies; type and value of assets. All amount variables are bracketed in case of non-response. * HOUSING ENVIRONMENT: type, location, building materials, other indicators of quality, and ownership of consumer durables; * ANTHROPOMETRIC: for a 20% sub-sample, measured weight, height; waist, hip, and calf circumference; knee height, and timed one-leg stands. Current plans are to conduct another two follow-up surveys in 2012 and 2014 and will field the 3rd and 4th waves of survey data collection in Mexico. For the 2012 wave, interviews will be sought for: every person who was part of the panel in 2003 and their new spouse / partner, if applicable, and a new sample of persons born between 1952 and 1962. For the 2014 wave, we will follow-up the whole sample from 2012. Interviews will be conducted person-to-person. Direct interviews will be sought with all informants, but proxy interviews are allowed for those unable to complete their own interview for health or cognitive reasons. A next-of-kin interview will be completed with a knowledgeable respondent for those who were part of the panel but have died since the last interview. A sub-sample will be selected to obtain objective markers such as blood sample and anthropometric measures. Data Availability: The 2001 baseline data, 2003 follow-up data, and documentation can be downloaded. * Dates of Study: 2001-2003 * Study Features: Longitudinal, International, Anthropometric Measures * Sample Size: 2001: 15,186 (Baseline) Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00142

Proper citation: Mexican Health and Aging Study (RRID:SCR_000818) Copy   

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http://lgsun.grc.nia.nih.gov/cDNA/cDNA.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Project portal housing NIA Mouse EST Project, NIA Mouse cDNA Clone Sets, a NIA Mouse Gene Index, NIA Mouse cDNA Database, and NIA Mouse Microarrays. Characteristics of NIA 15K Mouse cDNA Clone Set * ~15,000 unique cDNA clones were rearrayed among 52,374 ESTs from pre- and periimplantation embryos, E12.5 female gonad/mesonephros, and newborn ovary. * Up to 50% are derived from novel genes. * ~1.5 kb average insert size. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H3001A01 to H3159G07. * Handling of NIA 15k cDNA Clone Set(June3, 2000) Characteristics of NIA mouse 7.4K cDNA Clone Set * ~7407 cDNA clones with no redundancy within the set or with NIA Mouse 15K. * ~1.5 kb average insert size for short insert clones and ~2.5-3.0 kb average insert size for long-insert enriched clones.. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H4001A01 to H4079G07. * Handling of NIA mouse 7.4k cDNA Clone Set (similar to handling of NIA mouse 15K, to be updated) Individual Clones are available from ATCC and MRC geneservice, UK. To obtain Clone, search the database using either the rearrayed clone name or GenBank accession number at the Key Word Search page. Follow the link to the sequence information page for the rearrayed clone to obtain source clone ATCC number. Clicking the ATCC number will bring up the ATCC ordering page for the source clone. There is essentially no overlap between the two clone sets (7.4K and 15K) said Minoru S.H. Ko, M.D., Ph.D., head of the Developmental Genomics and Aging Section in the NIA's Laboratory of Genetics. In addition, all cDNA clones in the NIA 7.4K set were purified by single colony isolation and sequence-verified, and more than half were prepared by a new procedure that yields long full-length cDNAs (average size 3-4 kb). The NIA Mouse 15k and 7.4k Clone Set Data and Published Microarray Data are available for download. NIA Mouse Microarrays *Microarray Data Download * 60-mer Oligo Array Platform ** (A) NIA 22k Oligo Microarray Gene List (21939 gene features) ( Carter et al 2003 ) ** (B) Agilent Mouse Development Oligo Microarray Gene List ** ( Subset of Microarray (A): 20,280 gene features ) * Data Analysis Tools

Proper citation: NIA Mouse cDNA Project Home Page (RRID:SCR_001472) Copy   

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http://cerad.mc.duke.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023.Consortium that developed brief, standardized and reliable procedures for the evaluation and diagnosis of patients with Alzheimer's disease (AD) and other dementias of the elderly. These procedures included data forms, flipbooks, guidebooks, brochures, instruction manuals and demonstration tapes, which are now available for purchase. The CERAD assessment material can be used for research purposes as well as for patient care. CERAD has developed several basic standardized instruments, each consisting of brief forms designed to gather data on normal persons as well as on cognitively impaired or behaviorally disturbed individuals. Such data permit the identification of dementia based on clinical, neuropsychological, behavioral or neuropathological criteria. Staff at participating CERAD sites were trained and certified to administer the assessment instruments and to evaluate the subjects enrolled in the study. Cases and controls were evaluated at entry and annually thereafter including (when possible) autopsy examination of the brain to track the natural progression of AD and to obtain neuropathological confirmation of the clinical diagnosis. The CERAD database has become a major resource for research in Alzheimer's disease. It contains longitudinal data for periods as long as seven years on the natural progression of the disorder as well as information on clinical and neuropsychological changes and neuropathological manifestations., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CERAD - Consortium to Establish a Registry for Alzheimer's Disease (RRID:SCR_003016) Copy   

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