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http://sv.gersteinlab.org/breakdb/

Data set developed to store, annotate and dsplay structural variant (SV) breakpoint events identified by PEMer and from other sources.

Proper citation: BreakDB (RRID:SCR_003134) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse13168/

Curated data set from a study that assessed the effects of epidermal growth factor and interleukin 1-beta stimulation, and the modulatory effects of glucocorticoids treatment and protein kinase A inhibition, on the airway smooth muscle transcriptome by microarray analysis. The samples from 4 donors were subjected to different stimulations by Il-1b and EGF (or both) with or without pre-treatment with fluticasone, and data was collected at different timepoints.

Proper citation: GSE13168 (RRID:SCR_003651) Copy   

•   Source: SciCrunch Registry

http://srs.ebi.ac.uk/srsbin/cgi-bin/wgetz?-page+LibInfo+-lib+FSSP

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 6, 2016. FSSP (families of structurally similar proteins) is a database of structural alignments of proteins in the Protein Data Bank. The database currently contains an extended structural family for each of 330 representative protein chains. Each data set contains structural alignments of one search structure with all other structurally significantly similar proteins in the representative set (remote homologs, below 30%% sequence identity), as well as all structures in the Protein Data Bank with 70-30%% sequence identity relative to the search structure (medium homologs). Very close homologs (above 70 % sequence identity) are excluded as they rarely have marked structural differences. The alignments of remote homologs are the result of pairwise all-against-all structural comparisons in the set of 330 representative protein chains. All such comparisons are based purely on the 3D co-ordinates of the proteins and are derived by automatic (objective) structure comparison programs. The significance of structural similarity is estimated based on statistical criteria. The FSSP database is available electronically and by anonymous ftp (file transfer protocol).

Proper citation: FSSP - Families of Structurally Similar Proteins (RRID:SCR_003534) Copy   

•   Source: SciCrunch Registry

http://qnl.bu.edu/SLDB

Curated lists of genes associated to speech / language phenotypes and structural or functional abnormalities observed in patient populations. Entrez ID gene information, as well as gene expression profiles from the Allen Brain Atlas are available. You can also download expression data for a given gene in JSON or XML format.

Proper citation: Speech Language Disorders Database (RRID:SCR_003655) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse8650/

Curated data set from analyzed gene expression profiles in 19 pediatric patients with SoJIA during the systemic phase of the disease (fever and/or arthritis), 25 SoJIA patients with no systemic symptoms (arthritis only or no symptoms), 39 healthy controls, 94 pediatric patients with acute viral and bacterial infections (available under GSE6269), 38 pediatric patients with Systemic Lupus Erythematosus (SLE), and 6 patients with a second IL-1 mediated disease known as PAPA syndrome.

Proper citation: GSE8650 (RRID:SCR_003647) Copy   

•   Source: SciCrunch Registry

http://memory.psych.upenn.edu/Electrophysiological_Data

Multiple data sets, and associated publications, of electrophysiological data from the Computational Memory Lab, University of Pennsylvania. Separate requests must be made for each dataset. A collection of behavioral testing data is also available.

Proper citation: Cognitive Electrophysiology Data Portal (RRID:SCR_003129) Copy   

•   Source: SciCrunch Registry

http://www.uconn.edu/

University of Connecticut is a public land-grant research university system with its main campus in Storrs, Connecticut, United States. It was founded in 1881 as the Storrs Agricultural School, named after two benefactors. In 1893, the school became a public land grant college, then took its current name in 1939.

Proper citation: University of Connecticut; Connecticut; USA (RRID:SCR_003764) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03253

Data set from six research sites that examined the feasibility and outcomes of the most promising home and community-based intervention approaches for enhancing family caregiving for Alzheimers Disease (AD) and related disorders (ADRD). A unique feature is the examination of AD burdens and interventions in three ethnic groups (Caucasians, Hispanics, and African Americans). Caregiver/care recipient dyads are entered into the study using standardized eligibility criteria. The dyads are randomized at each intervention site using site-specific procedures. Standardized assessment batteries are administered at baseline, 6, 12, and 18 months. The five general types of REACH interventions are: Individual Information and Support strategies that increase caregivers' understanding of dementia and their particular caregiving situation; Group Support and Family Systems efforts that provide caregivers with multiple forms of social support; Psychoeducational and Skill-Based Training approaches that teach caregivers coping and behavioral management strategies; Home-Based Environmental interventions that modify the home environment's effect on the care recipient and support the caregiver; and Enhanced Technology Systems such as home-centered computer/telephone networks that are designed to reduce caregiver distress and isolation. REACH II was funded in 2001 to test a single multi-component intervention among family caregivers of persons with ADRD, building upon the findings of REACH. Recruitment for REACH II was completed in January 2004 with 642 participants entering the study across 5 participating sites.

Proper citation: Resources for Enhancing Alzheimers Caregiver Health (RRID:SCR_003638) Copy   

•   Source: SciCrunch Registry

http://genprotec.mbl.edu/files/MultiFun.html

MultiFun is a multifunctional classification scheme for Escherichia coli K-12 gene products. In the classification scheme, cellular functions are divided into 10 major categories: Metabolism, Information Transfer, Regulation, Transport, Cell Processes, Cell Structure, Location, Extra-chromosomal Origin, DNA Site, and Cryptic Gene. These major categories are further sub-divided into a hierarchical scheme. Two thousand nine hundred twenty-two gene products of E. coli K-12 were assigned to one or more functions depending on the role they play in the cell. Functional assignments were made to 66% of E. coli gene products, ranging from 1 to 16 assignments per gene product. The expansion of cellular function categories and the assignment to more than one category (multifunction) provides a more complete description of the gene products and their roles and hence better reflects the functional complexity of organisms. We believe this classification system will be useful in the field of genome analysis, both for annotation purposes and for comparative studies. The functional classification scheme and the cellular function assignments made to E. coli gene products can be accessed from the web at the databases GenProtEC (http://genprotec.mbl.edu) and EcoCyc (http://www.ecocyc.org).

Proper citation: MultiFun (RRID:SCR_004363) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/pro/Quiron-Valencia.html

Resting state datasets, including an anatomical as well as a resting state fMRI scan, collected from a community sample in Valencia, Spain. The first release includes data for 45 participants. Participants were instructed to keep their eyes open during the resting state scan, no visual stimulus was presented. The following data are released for every participant: * Scanner Type: Philips Achieva 3T-TX * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * At least one 6-minute resting state fMRI scan (R-fMRI), eyes open, no visual stimulus presented * Demographic Information

Proper citation: Quiron-Valencia Sample (RRID:SCR_003538) Copy   

•   Source: SciCrunch Registry

http://www.linked-neuron-data.org/

Neuroscience data and knowledge from multiple scales and multiple data sources that has been extracted, linked, and organized to support comprehensive understanding of the brain. The core is the CAS Brain Knowledge base, a very large scale brain knowledge base based on automatic knowledge extraction and integration from various data and knowledge sources. The LND platform provides services for neuron data and knowledge extraction, representation, integration, visualization, semantic search and reasoning over the linked neuron data. Currently, LND extracts and integrates semantic data and knowledge from the following resources: PubMed, INCF-CUMBO, Allen Reference Atlas, NIF, NeuroLex, MeSH, DBPedia/Wikipedia, etc.

Proper citation: Linked Neuron Data (RRID:SCR_003658) Copy   

•   Source: SciCrunch Registry

http://imkhp2.physik.uni-karlsruhe.de/~muehr/wetterwerte.html

Data sets of current German weather stations updated hourly or every twelve hours. Data sets, in German, include: * Daily mean values ??of temperature, updated hourly. Daily archive since 29.1.2008 * Daily maximum and minimum temperature, updated every 12 hours. Daily archive since 21.7.2008 * Monthly mean values ??of temperature and deviation, updated daily . * Rainfall in the last 12 hours and monthly total, updated every 12 hours . * Monthly totals of precipitation and relative to langj. means in%, updated every 12 hours. Monthly Archive since Feb. 2008 * Air pressure and pressure tendency, updated hourly.

Proper citation: Current German Weather Stations (RRID:SCR_003611) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/uniprot-das

The distributed annotation system (DAS) is a client-server system in which a single client integrates information from multiple servers. The UniProt DAS server provides access to sequence and annotation from UniProt, UniParc and IPI. Researchers can then provide annotation of their own results in the context of UniProt annotation, IPI annotation and UniParc cross references through the use of suitable DAS client such as Dasty2, the Ensembl DAS client or SPICE. The server also gives access to Gene Ontology Annotation of UniProt sequences (GOA) and theoretical tryptic digests of protein sequences in UniProt and IPI. An extremely useful resource for users of DAS is the DAS Registration Server that supports registry and discovery of DAS services. The datasources provided by the UniProt DAS server are all registered with this service.

Proper citation: UniProt DAS (RRID:SCR_004663) Copy   

•   Source: SciCrunch Registry

http://phewas.mc.vanderbilt.edu/

Catalog of phenome-wide association study (PheWAS) results for 3,144 single-nucleotide polymorphisms (SNPs) present in the NHGRI GWAS Catalog as of 4/17/2012 in 13,835 European-ancestry individuals from five sites of the Electronic Medical Records and Genomics (eMERGE) network. A total of 1,358 EMR-derived phenotypes were analyzed for each SNP. This PheWAS replicated 66% (51/77) of sufficiently powered prior GWAS associations, and 210/751 of all prior GWAS associations. They also identified 63 potentially pleiotropic associations with p < 4.6x10-6 (false discovery rate < 0.1); the strongest of these novel associations replicated in an independent cohort (n=7,406). The catalog contains all associations with p < 0.05 (uncorrected)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PheWAS Catalog (RRID:SCR_003562) Copy   

•   Source: SciCrunch Registry

http://www.cuhk.edu.hk/

Public research university in Sha Tin, New Territories, Hong Kong.

Proper citation: Chinese University of Hong Kong; Hong Kong; China (RRID:SCR_003440) Copy   

•   Source: SciCrunch Registry

http://www.broad.mit.edu/annotation/fungi/fgi/

Produces and analyzes sequence data from fungal organisms that are important to medicine, agriculture and industry. The FGI is a partnership between the Broad Institute and the wider fungal research community, with the selection of target genomes governed by a steering committee of fungal scientists. Organisms are selected for sequencing as part of a cohesive strategy that considers the value of data from each organism, given their role in basic research, health, agriculture and industry, as well as their value in comparative genomics.

Proper citation: Fungal Genome Initiative (RRID:SCR_003169) Copy   

•   Source: SciCrunch Registry

http://sccn.ucsd.edu/~arno/fam2data/publicly_available_EEG_data.html

A collection of 32-channel EEG / ERP data from 14 subjects (7 males, 7 females) acquired using the Neuroscan software (3.6 Gb), made available by the laboratory of Arnaud Delormes, along with electrode files and images presented in the experiment. Subjects are performing a go-nogo categorization task and a go-no recognition task on natural photographs presented very briefly (20 ms). Images are only available for viewing. Each subject responded to a total of 2500 trials. Data is CZ referenced and is sampled at 1000 Hz (total data size is 4Gb). Alternate datasets are also compiled including one from the EEGLAB software tutorial.

Proper citation: EEG / ERP Data Set (RRID:SCR_004890) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse4922/

Curated data set of a study that investigated the expression profiles of 347 primary invasive breast tumors on Affymetrix microarrays. Three separate breast cancer cohorts were analyzed: 1) Uppsala (n=249), 2) Stockholm (n=58), 3) Singapore (n=40). The Uppsala and Singapore data can be accessed in GSE4922. The Stockholm cohort data can be accessed at GEO Series GSE1456.

Proper citation: GSE4922 (RRID:SCR_003557) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/02744/version/1

Data set of a follow-up study (one of four Established Populations for Epidemiologic Studies of the Elderly - EPESE) that obtains information on four primary outcome variables (cognitive status, depression, functional status, and mortality) and four primary independent variables (social support, social class, social location, and chronic illness); and examines the relationships between social factors and chronic disease on the one hand and health outcomes on the other. This data set complements the other three sites providing a population which is both urban and rural and contains approximately equal numbers of black and white participants across a broad socioeconomic base. The Duke site was originally funded by the NIA Epidemiology, Demography and Biometry Program (EDBP) to complete seven waves of data collection (three in-person and four telephone interviews) in order to examine the health of a sample of 4,162 persons aged 65+, and factors that influence their health and use of health services. The cohort was originally interviewed in 1986/87 and followed annually for 6 years thereafter. The study design consisted of a random stratified household sample with an over-sampling of blacks. Questionnaire topics include the following: Demographics, Alcohol Use, Independence, Health condition, Cognition, Personal mastery, Health Service Utilization, Activity of daily living, Social Support, Hearing and Vision, Incontinence, Social Interaction, Weight and Height, Smoking, Religion, Nutrition, Life Satisfaction, Self Esteem, Sleep, Medications, Economic Status, Depression, Life Changes, Blood pressure. National Death Index files have been searched and death certificates obtained for the members of this study. Sample members have been matched with Medicare Part A files to obtain information on hospitalizations, and will be matched on Medicare Part B (outpatient) files. Data from the first wave of the survey is in the public domain and can be obtained from NACDA or from the National Archives, Center for Electronic Records in Washington, DC. * Dates of Study: 1996-1997 * Study Features: Longitudinal, Oversampling * Sample Size: 1986-1988: 4,162 Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02744 * National Archives: http://www.archives.gov/research/electronic-records/

Proper citation: Piedmont Health Survey of the Elderly (RRID:SCR_006349) Copy   

•   Source: SciCrunch Registry

https://neuinfo.org/mynif/search.php?q=nlx_149462&t=indexable&list=cover&nif=nlx_144509-1

A virtual database that indexes both BioNOT for negation data, and the Resource Discovery Pipeline: an automated resource discovery and semi-automated type characterization with text-mining scripts that facilitate curation team efforts to discover, integrate and display new content. This virtual database currently indexes the following resources: * BioNOT, http://snake.ims.uwm.edu/bionot/index.php?searchterm=mecp2+autism&submit=Search * Resource Discovery Pipeline, http://lucene1.neuinfo.org/nif_resource/current/

Proper citation: Integrated Auto-Extracted Annotation (RRID:SCR_005892) Copy   

•   Source: SciCrunch Registry