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https://simtk.org/home/cv-gmodels

Repository of geometric models collected from on-going and past research projects in the Cardiovascular Biomechanics Research Laboratory at Stanford University. The geometric models are mostly built from imaging data of healthy and diseased individuals. For each of the models, a short description is given with a reference. The geometric models are in VTK PolyData XML .vtp format. * Audience: Biomechanical and computational researchers interested in complex models of cardiovascular applications * Long Term Goals and Related Uses: Allow users to download geometric models for cardiovascular applications. These geometric models can be used for research purposes, such as meshing and scientific visualization. Users are welcome to contact the project administrator, join the project and contribute additional models.

Proper citation: Cardiovascular Model Repository (RRID:SCR_002679) Copy   

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http://anya.igsb.anl.gov/Geneways/GeneWays.html

System for automatically extracting, analzying, visualizing and integrating molecular pathway data from the research literature. System focuses on interactions between molecular substances and actions, providing a graphical consensus view on the collected information. GeneWays is designed as open platform, allowing researchers to query, review and critique integrated information.

Proper citation: GeneWays (RRID:SCR_000572) Copy   

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http://biogps.org/dataset/tag/kawasaki%20disease/

Collection of data sets on Kawasaki disease, a rare childhood illness that affects the blood vessels. The data includes biochemical measurements of myocardial strain, oxidative stress, and cardiomyocyte injury as well as protein level analysis.

Proper citation: Kawasaki Disease Dataset (RRID:SCR_001451) Copy   

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https://scicrunch.org/resources/Tools/record/nlx_144509-1/6b508d2a-fd5f-56f2-93cf-462fcd52548e/search?q=*&l=&facet%5B%5D=Parent%20Organization:University%20of%20Michigan;%20Michigan;%20USA&sort=added

THIS RESOURCE IS NO LONGER IN SERVICE. Documented September 12, 2017.

Dataset in Bilingual exposure optimizes left-hemisphere dominance for selective attention processes in the developing brain by Arredondo, Su, Satterfield, & Kovelman (XX) Does early bilingual exposure alter the representations of cognitive processes in the developing brain? Theories of bilingual development have suggested that bilingual language switching might improve children''s executive function and foster the maturation of prefrontal brain regions that support higher cognition. To test this hypothesis, we used functional Near Infrared Spectroscopy to measure brain activity in Spanish-English bilingual and English-monolingual children during a visuo-spatial executive function task of attentional control (N=27, ages 7-13). Prior findings suggest that while young children start with bilateral activation for the task, it becomes right-lateralized with age (Konrad et al., 2005). Indeed monolinguals showed bilateral frontal activation, however young bilinguals showed greater activation in left language areas relative to right hemisphere and relative to monolinguals. The findings suggest that bilingual experience optimizes attention mechanisms in the language hemisphere, and highlight the importance of early experiences for neurodevelopmental plasticity of higher cognition. These data are made available from Ioulia Kovelman''s Language and Literacy Lab at University of Michigan and may be exported through the NIF Data Federation. To cite these data please use this text Data were published by Arredondo et al. (XX) and made available via the NIF at XX

Proper citation: Arredondo ANT fNIRS dataset1 (RRID:SCR_002653) Copy   

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http://www.bsc.gwu.edu/dpp/protocol.htmlvdoc

Observational clinical trial studying the long term effect of diet and exercise and the diabetes medication, metformin, on the delay of type 2 diabetes in participants of the Diabetes Prevention Program (DPP). The Diabetes Prevention Program (DPP) was a multi-center trial examining the ability of an intensive lifestyle or metformin to prevent or delay the development of diabetes in a high risk population due to the presence of impaired glucose tolerance (IGT). The DPP has ended early demonstrating that lifestyle reduced diabetes onset by 58% and metformin reduced diabetes onset by 31%. The DPPOS is designed to take advantage of the scientifically and clinically valuable DPP participants. This group of participants is nearly 50% minority and represents the largest IGT population ever studied. Clinically important research questions remain that focus on 1)durability of the prior DPP intervention, 2) determination of the clinical course of precisely known new onset diabetes, in particular regarding CVD, CVD risk factors and atherosclerosis and microvascular disease, 3)close examination of these topics in men vs women and in minority populations. More than 87% of the original surviving DPP cohort has joined DPPOS as of December, 2007 and, to date, after 5 years of DPPOS and 10 years of combined DPP/DPPOS, 93% of the DPPOS cohort continue to attend annual follow-up visits. Interim analyses performed after 5 years of DPPOS have demonstrated a durable effect of diabetes prevention associated with the lifestyle and metformin interventions with 34 and 19% reductions in diabetes incidence, respectively, compared with the placebo group. Interim analyses also reveal significant reductions from baseline in CVD risk factors in the lifestyle intervention group, but with decreased utilization of glucose-lowering and lipid-lowering medications. Analyses of the participants in the placebo group who have developed diabetes during DPP/DPPOS, compared with those who have remained non-diabetic, reveal an increased frequency of retinopathy and microalbuminuria. The current, updated protocol describes the DPPOS including the revisions incorporated to complete the second five-years of the study. DPPOS participants have blood samples stored at the time of each annual visit. Specimens are stored at the study CBL until after the primary study outcomes are reported. DNA samples were previously collected and are stored at the NIDDKsample repository for DPP participants.

Proper citation: Diabetes Prevention Program Outcomes Study (RRID:SCR_001502) Copy   

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http://fcon_1000.projects.nitrc.org/indi/retro/BeijingEOEC.html

Data set of 48 healthy controls from a community (student) sample from Beijing Normal University in China with 3 resting state fMRI scans each. During the first scan participants were instructed to rest with their eyes closed. The second and third resting state scan were randomized between resting with eyes open versus eyes closed. In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 6-minute resting state fMRI scan (R-fMRI) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information and information on the counterbalancing of eyes open versus eyes closed.

Proper citation: Beijing: Eyes Open Eyes Closed Study (RRID:SCR_001507) Copy   

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http://www.vis.caltech.edu/~rodri/data.htm

5 EEG, ERP and single cell recordings data sets where each file corresponds to the recording on a different subject in the left occipital electrode (O1), with linked earlobes reference. Each file contains several artifact-free trials, each of them containing 512 data points (256 pre- and 256 post-stimulation) stored with a sampling frequency of 250 Hz. Trials are stored consecutively in a 1 column file. Data was pre-filtered in the range 0.1-70Hz. All trials correspond to target stimulation with an oddball paradigm. STAR R based Data Sets Used * Dataset # 1: Human single-cell recording * Dataset # 2: Simulated extracellular recordings * Dataset # 3: EEG signals from rats * Dataset # 4: Pattern visual evoked potentials. * Dataset # 5: Tonic-clonic (Grand Mal) seizures.

Proper citation: Rodrigo Quian Quiroga EEG ERP and single cell recordings database (RRID:SCR_001580) Copy   

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http://www.eecs.qmul.ac.uk/mmv/datasets/deap/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 12,2025. Multimodal dataset for emotion analysis using EEG, Physiological and Video Signals of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participants rated each video in terms of the levels of arousal, valence, like/dislike, dominance and familiarity. For 22 of the 32 participants, frontal face video was also recorded. A novel method for stimuli selection was used, utilizing retrieval by affective tags from the last.fm website, video highlight detection and an online assessment tool. The dataset is made publicly available and other researchers are encouraged to use it for testing their own affective state estimation methods.

Proper citation: DEAPdataset (RRID:SCR_001586) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/projectbci/

EEG motor activity data sets used for Brain Computer Interface research project in Matlab MAT format. * Dataset 1 - 1D motion: This subject is a 21 year old, right handed male with no known medical conditions. The EEG consists of actual random movements of left and right hand recorded with eyes closed. Each row represents one electrode. The order of the electrodes is FP1 FP2 F3 F4 C3 C4 P3 P4 O1 O2 F7 F8 T3 T4 T5 T6 FZ CZ PZ. The recording was done at 500Hz using Neurofax EEG System which uses a daisy chain montage. The data was exported with a common reference using Eemagine EEG. AC Lines in this country work at 50 Hz. This info is also included in the MAT file. * Dataset 2 - 2D motion: This subject is a 21 year old, right handed male with no known medical conditions. The EEG consists of actual random movements of left and right hand recorded with eyes closed. Each row represents one electrode. The order of the electrodes is FP1 FP2 F3 F4 C3 C4 P3 P4 O1 O2 F7 F8 T3 T4 T5 T6 FZ CZ PZ. The recording was done at 500Hz using Neurofax EEG System which uses a daisy chain montage. The data was exported with a common reference using Eemagine EEG. AC Lines in this country work at 50 Hz. This data consists of the following movements # Three trials left hand forward movement # Three trials left hand backward movement # Three trials left hand forward movement # Three trials left hand forward movement # 1 trial imagined left hand forward movement # 1 trial imagined left hand backward movement # 1 trial imagined right hand forward movement # 1 trial imagined right hand backward movement # 1 trial left leg movement # 1 trial right leg movement

Proper citation: Project BCI - EEG motor activity data set (RRID:SCR_001585) Copy   

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http://www.med.upenn.edu/idom/drc/cores/mouse.html

Core which provides researchers with resources for performing metabolic studies in mice. It also provides services, innovative techniques, and helpful consultation to both experienced and novice investigators with regards to metabolic questions.

Proper citation: Penn Diabetes Research Center Mouse Phenotyping Physiology and Metabolism Core (RRID:SCR_000888) Copy   

•   Source: SciCrunch Registry

http://bowtie-bio.sourceforge.net/recount/

RNA-seq gene count datasets built using the raw data from 18 different studies. The raw sequencing data (.fastq files) were processed with Myrna to obtain tables of counts for each gene. For ease of statistical analysis, they combined each count table with sample phenotype data to form an R object of class ExpressionSet. The count tables, ExpressionSets, and phenotype tables are ready to use and freely available. By taking care of several preprocessing steps and combining many datasets into one easily-accessible website, we make finding and analyzing RNA-seq data considerably more straightforward.

Proper citation: ReCount - A multi-experiment resource of analysis-ready RNA-seq gene count datasets (RRID:SCR_001774) Copy   

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http://neurobureau.projects.nitrc.org/ADHD200/Introduction.html

Preprocessed versions of the ADHD-200 Global Competition data including both preprocessed versions of structural and functional datasets previously made available by the ADHD-200 consortium, as well as initial standard subject-level analyses. The ADHD-200 Sample is pleased to announce the unrestricted public release of 776 resting-state fMRI and anatomical datasets aggregated across 8 independent imaging sites, 491 of which were obtained from typically developing individuals and 285 in children and adolescents with ADHD (ages: 7-21 years old). Accompanying phenotypic information includes: diagnostic status, dimensional ADHD symptom measures, age, sex, intelligence quotient (IQ) and lifetime medication status. Preliminary quality control assessments (usable vs. questionable) based upon visual timeseries inspection are included for all resting state fMRI scans. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project protocols, all datasets are anonymous, with no protected health information included. They hope this release will open collaborative possibilities and contributions from researchers not traditionally addressing brain data so for those whose specialties lay outside of MRI and fMRI data processing, the competition is now one step easier to join. The preprocessed data is being made freely available through efforts of The Neuro Bureau as well as the ADHD-200 consortium. They ask that you acknowledge both of these organizations in any publications (conference, journal, etc.) that make use of this data. None of the preprocessing would be possible without the freely available imaging analysis packages, so please also acknowledge the relevant packages and resources as well as any other specific release related acknowledgements. You must be logged into NITRC to download the ADHD-200 datasets, http://www.nitrc.org/projects/neurobureau

Proper citation: ADHD-200 Preprocessed Data (RRID:SCR_000576) Copy   

•   Source: SciCrunch Registry

http://www.nmr.mgh.harvard.edu/CFNT/index

Biomedical technology research center that develops and applies innovative neuroimaging technologies and techniques to enable closer examination of the human brain, and thereby contribute to better understanding of the brain in health and disease. They develop new techniques and advance existing technologies for acquisition and analysis of functionally specific images of the working brain, with unprecedented physiological precision and spatiotemporal resolution. The research and development aims to improve and extend existing methods for non-invasive magnetic resonance image analysis and acquisition, electromagnetic source imaging, optical neuroimaging, and most recently, combined MR-PET neuroimaging. The Resource provides an essential interactive environment, within which an interdisciplinary team of highly skilled scientists, engineers, and clinicians with diverse expertise in multiple modalities and disciplines. The resource supports service use of the Center's facilities by neuroscientists throughout the country, provide extensive training opportunities for students, fellows, and staff scientists, and seek to advance the field of brain mapping through active dissemination of new knowledge and technology.

Proper citation: Center for Functional Neuroimaging Technologies (RRID:SCR_001423) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03255

Data set that looked at religion, self-rated health, depression, and psychological well-being in a sample of older Blacks and older Whites (aged 65 and over) within the United States. Questions were asked regarding religious status, activities, and beliefs among those who currently practice the Christian faith, those who used to be Christian but are not now, and those who have never been associated with any religion during their lifetimes. Demographic variables include age, race, sex, education, and income. Wave II was collected in 2004 and reinterviewed 1,024 respondents. There were 75 respondents who refused to participate, 112 who could not be located, 70 that were too ill for participation, 11 who had moved to nursing homes and 208 were deceased. * Dates of Study: 2001- 2004 * Study Features: Longitudinal, Minority Oversample * Sample Size: 1,500

Proper citation: Religion Aging and Health Survey (RRID:SCR_003625) Copy   

•   Source: SciCrunch Registry

http://cistrome.org/finder

Data portal that can help query, evaluate and visualize publicly available Chromatin immunoprecipitation and DNase I hypersensitivity assays with high-throughput sequencing data in human and mouse. The database currently contains 6378 samples over 4391 datasets, 313 factors and 102 cell lines or cell populations (May 2013). Each dataset has gone through a consistent analysis and quality control pipeline; therefore, users could evaluate the overall quality of each dataset before examining binding sites near their genes of interest. CistromeFinder is integrated with UCSC genome browser for visualization, Primer3Plus for ChIP-qPCR primer design and CistromeMap for submitting newly available datasets. It also allows users to leave comments to facilitate data evaluation and update.

Proper citation: CistromeFinder (RRID:SCR_005405) Copy   

•   Source: SciCrunch Registry

http://www.nihtoolbox.org/WhatAndWhy/Cognition/EpisodicMemory/Pages/NIH-Toolbox-Auditor-Verbal-Learning-Test-(Rey).aspx

Supplemental instrument that is a measure of immediate recall in which the participant is presented with a list of 15 unrelated words via audio recording and is asked to recall as many as he/she can. This process is repeated twice more, and the score is equal to the total number of words recalled across all three trials. This instrument is recommended for ages 8-85 as a supplement to the Picture Sequence Memory Test or as a potential alternative in cases where a participant's visual limitations would preclude administering the Picture Sequence Memory Test. The test takes approximately 3 minutes to administer. (The NIH Toolbox version of this test differs from some other available versions in that there are three rather than five learning trials and there is neither a delayed recall trial nor an interference trial.)

Proper citation: NIH Toolbox Auditory Verbal Learning Test (Rey) (RRID:SCR_003619) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse17755/

Curated data set from a study that contains a gene expression profile of peripheral blood cells (PBMCs) isolated from patients (248 in total) with rheumatoid arthritis (RA)/ systemic lupus erythematosus (SLE)/ polyarticular type juvenile idiopathic arthritis (polyJIA)/ Systemic onset juvenile idiopathic arthritis (sJIA) vs healthy children (HC) and healthy individual (HI).

Proper citation: GSE17755 (RRID:SCR_003650) Copy   

•   Source: SciCrunch Registry

http://www.broad.mit.edu/mpr/lung

Data set of a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, researchers analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct sub-classes of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.

Proper citation: Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes (RRID:SCR_003010) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00158

Data set from an ongoing, longitudinal-sequential study of adult-cognitive development, which began in 1956, that focuses on individual differences in age-related changes and differences across cohorts. The general purpose of the study is to examine the changes in intelligence and various abilities throughout adulthood. The data provide a normative base to determine the ages of detectable decrements in ability and the magnitudes of the decrements. The study also seeks to examine patterns of generational differences and age-related differences and to determine the effects of educational intervention on intellectual decline. This study is a mixed cross-sectional, longitudinal, and time-lag design. Included are family studies of cognitive similarity, prospective studies of early signs of dementia via psychological and genetic markers, as well as the investigation of personality and demographic variables that affect cognitive change in adults from young adulthood to advanced old age. Questionnaire topics include health behavior, behavioral rigidity, family environment, Life Complexity Inventory, CES-D Depression, and cognitive and neuropsychology batteries. Group Health Cooperative of Puget Sound Medical Records and Pharmacy Records. * Dates of Study: 1956-Present * Study Features: Longitudinal * Sample Size: 6,000+

Proper citation: Seattle Longitudinal Study (RRID:SCR_003654) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse13732/

Curated data set from a study that developed biomarkers that may predict development of Clinically Isolated Syndrome (CIS) into a full multiple sclerosis. Expression data was taken from 37 CIS patients and 28 healthy controls at baseline. 34 CIS patients and 10 healthy controls were resampled at a second time point, approximately one year later. Patients were followed clinically for up to two years to determine the TTC (time to conversion to MS).

Proper citation: GSE13732 (RRID:SCR_003648) Copy   

•   Source: SciCrunch Registry