Tools   Select Another Resource Report Type

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   

•   Source: SciCrunch Registry

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   

•   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

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

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   

•   Source: SciCrunch Registry

http://www.internationalbrainbee.com

A world-wide neuroscience competition for high school students that aims to motivate them to learn about the brain and to pursue neuroscience careers. Brain Bee tests knowledge of the human brain, including topics like intelligence, emotions, memory, sleep, vision, hearing, sensations, Alzheimer's disease, Parkinson's disease, stroke, schizophrenia, epilepsy, depression, addictions and brain research.

Proper citation: Brain Bee (RRID:SCR_002248) 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

http://www.humanconnectome.org/documentation/S500/

Behavioral and 3T MR imaging data from over 500 healthy adult participants with 14 subjects also scanned in resting-state MEG (rMEG) and task MEG (tMEG). Highlights: * Behavioral and demographic data on 550 subjects. * MR imaging data preprocessed using updated pipelines (structural pipeline v3.1, functional pipeline v3.1, diffusion pipeline v3.1, task analysis pipeline v3.3). * Updates to pipelines include a new intersubject registration method called MSMSulc. All MR data from Q1-Q3 releases have been reprocessed. HCP strongly advises against mixing data from this release with previously-released data. * Individual task fMRI grayordinate-based analysis results (available at 2mm, 4mm, 8mm, and 12mm smoothing levels) and volume-based analysis results (4mm smoothing) are available for all complete 500 Subjects tfMRI data, using an updated task analysis pipeline v3.3. * New extensively processed 100- and 400+-subject group-average functional MR data. * Updates to MEG data and access in ConnectomeDB. Structural MRI-based MEG anatomical models and MR data for the 14 MEG1 Release subjects. * Improvements to behavioral data organization and data dictionary, including the addition of previously unreleased restricted behavioral and demographic data. * All imaging data soon to be available on the cloud through Amazon S3. (More information to come!)

Proper citation: WU-Minn HCP 500 Subjects MR and MEG Release (RRID:SCR_003922) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse27831/

Curated data set from gene expression profiles of 29 unique samples from uveal melanoma patients that were measured on Affymetrix microarray. In addition, expression of syntenin-1 was measured by RT-PCR and this data is also available in the study.

Proper citation: GSE27831 (RRID:SCR_003646) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse20194/

Curated data set of gene expression data from 230 stage I-III breast cancers that were generated from fine needle aspiration specimens of newly diagnosed breast cancers before any therapy. The biopsy specimens were collected sequentially during a prospective pharmacogenomic marker discovery study between 2000 and 2008. These specimens represent 70-90% pure neoplastic cells with minimal stromal contamination. In the study, patients received 6 months of preoperative (neoadjuvant) chemotherapy including paclitaxel, 5-fluorouracil, cyclophosphamide and doxorubicin followed by surgical resection of the cancer.

Proper citation: GSE20194 (RRID:SCR_003645) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse24060/

Curated data set from a gene expression profiling study investigating monozygotic twin pairs with various systemic autoimmune diseases. RNA microarray analyses (Agilent Human 1A(V2) 20K oligo arrays) quantified differential gene expression in blood from 20 monozygotic (MZ) twin pairs, to minimize polymorphic gene effects, discordant for SAID (six with systemic lupus erythematosus (SLE), six rheumatoid arthritis (RA), eight idiopathic inflammatory myopathies (IIM)) and 40 unrelated matched controls.

Proper citation: GSE24060 (RRID:SCR_003649) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse4698/

Curated data set where gene expression profiling was performed on 60 prospectively collected samples of children with first relapse of acute lymphoblastic leukemia enrolled on the relapse trial ALL-REZ BFM 2002 of the Berlin-Frankfurt-Muenster study group.

Proper citation: GSE4698 (RRID:SCR_003644) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse4271/

Curated data set from a study that investigated 77 primary high-grade astrocytomas and 23 matched recurrences so that changes in gene expression related to both survival and disease progression can be identified. Samples in the study include WHO grade III and IV astrocytomas with a wide range of survival times.

Proper citation: GSE4271 (RRID:SCR_003643) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse1456/

Curated series of expression data for 159 tumors from which RNA could be collected in sufficient amounts and quality for analysis from breast cancer patients. Tissue material was collected from all breast cancer patients receiving surgery at Karolinska Hospital from 1994-1996.

Proper citation: GSE1456 (RRID:SCR_003642) Copy   

•   Source: SciCrunch Registry