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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   

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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://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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https://www.lookaheadtrial.org

16-center, randomized clinical trial investigating the long-term health consequences of an intensive lifestyle intervention program designed to achieve and maintain weight loss by decreased caloric intake and increased physical activity in overweight volunteers with type 2 diabetes. The Look AHEAD cohort comprises approximately 5,000 overweight or obese participants with type 2 diabetes, aged 45-76. Participants were randomized to one of two interventions: an intensive lifestyle intervention designed to produce and sustain weight loss over the long term or a diabetes support and education arm. Participants will be followed for a total of 11 to 13.5 years from randomization. The primary hypothesis is that the incidence rate of the first post-randomization occurrence of a composite outcome, which includes * cardiovascular death (including fatal myocardial infarction and stroke), * non-fatal myocardial infarction, * hospitalized angina, and * non-fatal stroke, over a planned follow-up period of up to 13.5 years will be reduced among participants assigned to the Lifestyle Intervention compared to those assigned to the control condition, Diabetes Support and Education. Look AHEAD will also test for reductions in the incidence of three secondary composite outcomes and examine the effect of the intervention on cardiovascular disease risk factors, diabetes control and complications, general health, and quality of life, and psychological outcomes. The cost and cost-effectiveness of the Lifestyle Intervention relative to Diabetes Support and Education will be assessed. The Look AHEAD intensive lifestyle intervention ended September, 2012. Participants continue to be followed to determine the long-term effects of the intervention on health outcomes.

Proper citation: Look AHEAD (RRID:SCR_001490) Copy   

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https://repository.niddk.nih.gov/study/44

Randomized controlled clinical trial to understand how increasing hemodialysis to six times a week from the standard of three times a week may result in improved heart health. Subjects were recruited from dialysis units associated with designated Clinical Centers in the U.S. and Canada and followed for 1 year. Subjects will be randomized to either conventional hemodialyis Daily HD delivered for at least 2.5 hours (typically 3 to 4 hours), 3 days per week, or to more frequent hemodialysis delivered for 1.5 - 2.75 hours, 6 days per week. The study has two co-primary outcomes: 1) a composite of mortality with the change over 12 months in left ventricular mass by magnetic resonance imaging, and 2) a composite of mortality with the change over 12 months in the SF-36 RAND physical health composite (PHC) quality of life scale. In addition, main secondary outcomes have been designated for each of seven outcome domains: 1) cardiovascular structure and function (change in LV mass), 2) health-related quality of life/physical function (change in the PHC), 3) depression/burden of illness (change in Beck Depression Inventory), 4) nutrition (change in serum albumin), 5) cognitive function (change in the Trail Making Test B), 6) mineral metabolism (change in average predialysis serum phosphorus), and 7) clinical events (rate of non-access hospitalization or death). Hypertension and anemia are also main outcome domains, but without designation of single first priority outcomes.

Proper citation: Frequent Hemodialysis Network Daily Trial (RRID:SCR_001527) Copy   

•   Source: SciCrunch Registry

http://www.bioinfor.com/zoom/general/overview.html

Software to map the Illumina/Solexa reads of 15x coverage of a human genome to the reference human genome in one CPU-day, allowing two mismatches, at full sensitivity.

Proper citation: ZOOM (RRID:SCR_002175) Copy   

•   Source: SciCrunch Registry

https://nbclab.github.io/talks/bottenhorn-brainhack-brainspell

Crowdsourcing site for annotating neuroimaging literature. Brainspell also allows for search across the literature.

Proper citation: Brainspell (RRID:SCR_001639) Copy   

•   Source: SciCrunch Registry

https://repository.niddk.nih.gov/study/47

Study designed to test the hypothesis that African-Americans respond less well to combination pegylated interferon and ribavirin therapy than Caucasian-Americans who have chronic hepatitis C genotype 1 and who were not previously treated with either interferon or ribavirin. Reasons for differences in response, regardless of race, will be studied. All patients were treated with combination therapy of pegylated interferon and ribavirin for 48 weeks, and were followed for an additional 48 week safter cessation of therapy. 400 patients, half African-American and half Caucasian American, from 8 clinical centers with the goals of establishing rates of response to optimal current therapy in the two ethnic groups, identify factors predictive of response, establish patterns of viral kinetics in response to antiviral therapy, and test hypotheses concerning viral and host factors determining response to therapy. Four ancillary studies designed to elucidate biological and virological basis for non-response are also included in Virahep-C. Additionally, the study has central facilitates for pathology, the virological testing laboratory and a serum/tissue repository.

Proper citation: Viral Resistance to Antiviral Therapy of Chronic Hepatitis C (RRID:SCR_001553) Copy   

•   Source: SciCrunch Registry

https://www.clinicaltrials.gov/study/NCT00392678?term=SALSALATE&viewType=Table&rank=8

Nationwide, randomized, double blind, multi-center research study to determine whether the drug salsalate, a member of the commonly used Non-Steroidal Anti-Inflammatory Drug (NSAID) class, is effective in lowering sugars in patients with type 2 diabetes. The study is conducted in two stages. The primary objective of the first stage is to select a dose of salsalate that is both well-tolerated and demonstrates a trend toward improvement in glycemic control. The primary objective of Stage 2 of the study is to evaluate the effects of salsalate on blood sugar control in diabetes; the tolerability of salsalate use in patients with type 2 diabetes (T2D); and the effects of salsalate on measures of inflammation, the metabolic syndrome, and cardiac risk.

Proper citation: TINSAL-T2D (RRID:SCR_001546) Copy   

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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

https://www.clinicaltrials.gov/study/NCT00580749

Randomized multi-center clinical trial designed to test whether duodenojejunal (DJ) feeding is more effective than nasogastric (NG) feeding in providing enteral nutrition to patients with severe acute pancreatitis. SNAP will enroll participants with severe acute pancreatitis admitted to the intensive care unit at eight clinical centers. Upon enrollment, participants are assigned to NG or DJ feeding and managed for up to 28 days or until weaned on to solid food. Follow-up continues until participants are discharged from the hospital or for a maximum of 60 days. Outcomes relate to feeding tolerance and failure, nutritional status, risk for life-threatening pancreatic/systemic complications, and hospital mortality.

Proper citation: Study of Nutrition in Acute Pancreatitis (RRID:SCR_001544) Copy   

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http://www.utsouthwestern.edu/education/medical-school/departments/airc/southwestern-nmr-center/index.html

Biomedical technology research center that develops and applies new methods for analysis of metabolic networks in intact tissues, animals and human patients. The importance of understanding abnormal metabolism in common diseases such as cancer, diabetes and heart disease has long been appreciated. Because of constraints in technology, however, much of this research has been conducted in isolated systems where clinical relevance may be uncertain. Progress in magnetic resonance technology provides a foundation for major advances towards new ways of imaging metabolism in patients. These new techniques offer the advantage of imaging biochemical pathways without radiation. The focus of this Resource is to bring these technologies to a level where clinical research is feasible through the development of new MR contrast agents, NMR spectroscopy at high fields, and imaging of hyperpolarized 13C.

Proper citation: Southwestern NMR Center for In Vivo Metabolism (RRID:SCR_001429) Copy   

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https://labnodes.vanderbilt.edu/community/profile/id/1133

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that provides training and expertise in nutrition/diet methodology to obtain valid and reliable assessment and analyses of dietary intakes, nutritional status, body composition and metabolism.

Proper citation: Vanderbilt Diabetes Research and Training Center Vanderbilt Diet Body Composition and Metabolism Core Facility (RRID:SCR_010191) Copy   

•   Source: SciCrunch Registry

http://genie.weizmann.ac.il/pubs/mir07/mir07_data.html

Catalogs of predicted microRNA targets in worm (based on ce6 genome assembly), fly (dm3), mouse (mm9) and human (hg18). We follow standard seed parameter settings and consider seeds of length 6-8 bases, beginning at position 2 of the microRNA. No mismatches or loops are allowed, but a single G:U wobble is allowed in 7- or 8-mers. In genes missing a 3' UTR annotation, 500 bp (fly), 800 bp (human and mouse) or 300 bp (worm) downstream of the annotated end of the coding sequence were used as the predicted UTR. For each organism, a catalog with zero flank and with a flank of 3 and 15 bases upstream and downstream.

Proper citation: PITA (RRID:SCR_010853) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/pro/eNKI_RS_TRT/FrontPage.html

A test-retest dataset to assess the reliability of multiband resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI) scans prior to launch of the Enhanced Nathan Kline Institute - Rockland Sample (NKI-RS). The dataset is primarily composed of individuals from the initial NKI-RS - for these individuals psychiatric assessment information is available and included (participants were not excluded due to history of illness. In addition to R-fMRI and DTI, they included: 1) simple visual checkerboard stimulation fMRI scans to allow for assessment of traditional fMRI data quality metrics (e.g., contrast-to-noise ratio), 2) breath holding data to enable assessment of regional differences in vascular responsiveness, and 3) eye movement calibration scans to enable the assessment of eye-movement related artifacts which may be particularly troublesome for multiband sequences since several slices are acquired simultaneously.

Proper citation: NKI-RS Multiband Imaging Test-Retest Pilot Dataset (RRID:SCR_010460) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/enhanced/

Dataset of 1000 characterized community-ascertained participants using state-of-the-art multiband imaging-based resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI), genetics, and a deep phenotyping protocol from a large cross-sectional sample of brain development, maturation and aging (ages 6 - 85 yrs). The Center for Magnetic Resonance Research (CMRR), University of Minnesota, provided the NKI-RS effort with the latest version of the Multiband EPI sequence (Xu et al. 2012) and associated image reconstruction algorithms, enabling the acquisition of state-of-the-art imaging datasets for this large-scale imaging effort. The enhanced NKI-RS expands upon the phenotypic protocol of the original NKI-RS and captures a broad range of behavioral and cognitive phenomenology relevant to psychiatric health and illness. The validity and value of assessments were evaluated by consulting leaders in the field of psychiatric phenotyping.

Proper citation: NKI-RS Enhanced Sample (RRID:SCR_010461) Copy   

•   Source: SciCrunch Registry

https://github.com/qqpigass/FREEPII

Software application encompassing autonomous feature extraction and feature representation enhancement for PPIs and protein complexes inference. FREEPII establishes feature maps that are consistent with model training, and emphasizes learning the feature representation of proteins rather than the feature representation of PPI, reducing the computational complexity from N^2 to N (N: number of proteins). FREEPII uses protein sequences to expand the information available for calculating data similarity between proteins. Furthermore, it introduces network-level information into the final feature representation to rescale the strength of interactions present in CF-MS data.

Proper citation: Feature Representation Enhancement End-to-end Protein Interaction Inference (RRID:SCR_026316) Copy   

•   Source: SciCrunch Registry