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http://www.unil.ch/central

Proper citation: University of Lausanne; Lausanne; Switzerland (RRID:SCR_004773) Copy   

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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   

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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   

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http://www.nimh.nih.gov/funding/clinical-trials-for-researchers/datasets/nimh-procedures-for-requesting-data-sets.shtml

A listing of data sets from NIMH-supported clinical trials. Limited Access Datasets are available from numerous NIMH studies. NIMH requires all investigators seeking access to data from NIMH-supported trials held by NIMH to execute and submit as their request the appropriate Data Use Certification pertaining to the trial. The datasets distributed by NIMH are referred to as limited access datasets because access is limited to qualified researchers who complete Data Use Certifications.

Proper citation: Limited Access Datasets From NIMH Clinical Trials (RRID:SCR_005614) Copy   

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http://aws.amazon.com/1000genomes/

A dataset containing the full genomic sequence of 1,700 individuals, freely available for research use. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research free of charge. The dataset containing the full genomic sequence of 1,700 individuals is now available to all via Amazon S3. The data can be found at: http://s3.amazonaws.com/1000genomes The 1000 Genomes Project aims to include the genomes of more than 2,662 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the data collection this year. Public Data Sets on AWS provide a centralized repository of public data hosted on Amazon Simple Storage Service (Amazon S3). The data can be seamlessly accessed from AWS services such Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic MapReduce (Amazon EMR), which provide organizations with the highly scalable compute resources needed to take advantage of these large data collections. AWS is storing the public data sets at no charge to the community. Researchers pay only for the additional AWS resources they need for further processing or analysis of the data. All 200 TB of the latest 1000 Genomes Project data is available in a publicly available Amazon S3 bucket. You can access the data via simple HTTP requests, or take advantage of the AWS SDKs in languages such as Ruby, Java, Python, .NET and PHP. Researchers can use the Amazon EC2 utility computing service to dive into this data without the usual capital investment required to work with data at this scale. AWS also provides a number of orchestration and automation services to help teams make their research available to others to remix and reuse. Making the data available via a bucket in Amazon S3 also means that customers can crunch the information using Hadoop via Amazon Elastic MapReduce, and take advantage of the growing collection of tools for running bioinformatics job flows, such as CloudBurst and Crossbow.

Proper citation: 1000 Genomes Project and AWS (RRID:SCR_008801) Copy   

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http://www.nber.org/papers/h0038

A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

Proper citation: Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets (RRID:SCR_008921) Copy   

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http://cdrewu.eagle-i.net/i/00000135-20a3-3d3f-f836-7d1b80000000

The AXIS Biomedical Informatics function is dedicated to providing investigators at Charles Drew University (CDU) with state-of-the-art informatics solutions for their research projects. AXIS Biomedical Informatics comprises a multi-disciplinary team of researchers with backgrounds and interest in clinical medicine, biomedical informatics, medical geography and geographical information systems, computer science, sociotechnical theories and qualitative methods.

Proper citation: CDU AXIS Biomedical Informatics function (RRID:SCR_009699) Copy   

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http://ccny-cuny.eagle-i.net/i/00000137-568a-3b40-bb24-040880000000

LSR II A State-of-the-Art RCMI Flow Cytometry Core is located in MR613 with full time technical support, provided by the Flow Technician Mr. Jeffrey Walker. Mr. Walker is BD trained and certified in both analysis and sorting and has extensive experience in sorting both lymphocytes and larger epithelial cells, as well as with specialized applications including cell cycle analysis and calcium flux. Mr. Walker provides training for regular users wishing to perform independent analysis, and is responsible for all sorting.

Proper citation: CCNY Fluorescence Activated Cell Sorting (RRID:SCR_009696) Copy   

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http://degradome.uniovi.es/domains.html

Domains found in human and mouse proteases colour-coded according to the catalytic class in which they appear. Some of them appear in more than one catalytic group, and two-colours are used. Yellow, aspartyl proteases; blue, cysteine proteases; green, metalloproteases; and red, serine proteases.

Proper citation: Ancillary Domains Associated With Human and Mouse Proteases (RRID:SCR_008363) Copy   

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http://cau.eagle-i.net/i/00000135-abf1-2607-ecf8-187780000000

CCRTD houses several major instruments to support structural studies of biological molecules, cells, modern cell, and molecular visualization applications. We have an Inverted Digitized Microscope (Zeiss) of general use, plus an advanced Fluorescence-enabled Inverted Digitized Microscope with Z-stacking and Live Cell Imaging modules (Zeiss). For advanced applications including In Situ Hybridization (ISH) and Immunohistochemistry (IHC), in addition to Zeiss microscope above we offer Confocal Fluorescent Microscope (Nikon). The latter is currently undergoing a major upgrade of computer system, software, and optics including addition of lasers.

Proper citation: CAU CCRTD-Structural Biology (RRID:SCR_009694) Copy   

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http://cau.eagle-i.net/i/00000135-abe7-77c7-ecf8-187780000000

CCRTD Core Facilities house major equipment for DNA and RNA-based applications. We offer polymerase chain reaction ( PCR ) instruments including Real-Time PCR machine (I-Cycle, Bio-Rad), Liquid Scintillation Counter (Beckman Coulter), Lyophilizer and Freeze-Dryer for biological samples, Cell Porator, high-speed and ultra-high-speed Centrifuges, ultra-sensitive Balances, and other supporting equipment. DNA and RNA quantification can be carried out on Spectrophotometers, both single-cuvette (DU650, Beckman Coulter) and 96-well plate based. DNA and RNA can be visualized, digitized, and quantified using Gel Documentation system (Bio-Rad) or Multi-Mode Imager Typhoon 9410, in fluorescent, luminescent, UV, or visible wavelengths; time-resolved fluorescence option is available on BioTek Plate Imager. For X-Ray imaging, we maintain an Automated X-Ray processor and Dark Room; radioisotope imaging is also supported on Typhoon 9410.

Proper citation: CAU CCRTD-Molecular Biology (RRID:SCR_009692) Copy   

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http://harvard.eagle-i.net/i/0000013a-8f55-ae5a-0802-e06e80000000

Core facility that provides the following services: Mouse Long Bone Scans, Mouse Vertebrae Scans. The Harvard School of Dental Medicine under the direction of The Office of Research operates a core facility composed of two micro CT machines.

Proper citation: HSDM Micro CT Core (RRID:SCR_009693) Copy   

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http://mialab.mrn.org/data/index.html

An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease.

Proper citation: MIALAB - Resting State Data (RRID:SCR_008914) Copy   

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http://prehco.rcm.upr.edu/

A dataset that provides researchers and policy makers information about issues affecting the elderly population in Puerto Rico: health status, housing arrangements, functional status, transfers, labor history, migration, income, childhood characteristics, health insurance, use of health services, marital history, mistreat, sexuality, etc. It investigates the characteristics of older adults (aged 60+) through an island-wide cross-sectional sample survey of target individuals and their surviving spouses. The sampling frame was constructed on the basis of an advance release of the 2000 US Census. The population for the study consists of the elderly population (60+) in households in Puerto Rico. The sample design used a multistage probabilistic sample by cluster. All elderly adults who lived in the selected households were eligible. If more than one person was in the target population, one 60+ adult was the target and one was the spouse. Respondents 80+ and males in couples who were both 80+ were oversampled. There were 4,293 targets aged 60+ and 1,444 spouses (all ages) in the first wave. Types of data include demographic; household composition; marital history; Cantrill Scale; mini-mental (designed to measure cognitive capacity of Spanish-speaking Latinos with low levels of education and to provide early indications of dementia); self-reported health status; diagnosed health conditions; childhood conditions; transfers; labor history; migration; housing; assets; Activities of Daily Living; Instrumental Activities of Daily Living; medicines; health insurance and use of health services; family structure; sexuality; anthropometric measures. Project innovations include: (1) the design and test of a new tool for assessing cognition among Spanish speaking elderly of low levels of education, (2) a symptoms section to assess the validity of selected self reported conditions, (3) a modification of the Cantrill''s Ladder Scale, (4) protocols for physical measurements to assess current, as well as past, conditions, and (5) the use of GIS and GPS in the fieldwork supervision and to geocoding the survey data. At this moment PREHCO has completed a second wave to become a longitudinal study. The questionnaire included questions regarding the changing conditions (health, residential, social and economic) of those individuals who responded the first questionnaire. The new questionnaire included novel components: vignettes for health status self-report, a new improved section on disability and dependency, and on labor force participation. We also expanded the section of anthropometry by adding a few measurements and physical efficiency tests. Those participants deceased or institutionalized were interviewed using a proxy. Data Availability: First and second wave data are available for public use through BADGIR, the online data archive at the University of Wisconsin-Madison, at: http://nesstar.ssc.wisc.edu/ * Dates of Study: 2002-2003, 2004-2006 * Study Features: Longitudinal, International, Minority Oversampling, Anthropometric measures * Sample Size: 5,336

Proper citation: Puerto Rican Elderly: Health Conditions (RRID:SCR_008916) Copy   

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https://confluence.crbs.ucsd.edu/display/NIF/StemCellInfo

Data tables providing an overview of information about stem cells that have been derived from mice and humans. The tables summarize published research that characterizes cells that are capable of developing into cells of multiple germ layers (i.e., multipotent or pluripotent) or that can generate the differentiated cell types of another tissue (i.e., plasticity) such as a bone marrow cell becoming a neuronal cell. The tables do not include information about cells considered progenitor or precursor cells or those that can proliferate without the demonstrated ability to generate cell types of other tissues. The tables list the tissue from which the cells were derived, the types of cells that developed, the conditions under which differentiation occurred, the methods by which the cells were characterized, and the primary references for the information.

Proper citation: National Institutes of Health Stem Cell Tables (RRID:SCR_008359) Copy   

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

A free collection of MRI brain images for testing segmentation algorithms. It is available for download to assess the accuracy, reproducibility and sensitivity of MRI segmentation software. It includes data from infants and adults as well as patients with Alzheimer's disease.

Proper citation: Brain Segmentation Testing Protocol (RRID:SCR_009445) Copy   

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http://cau.eagle-i.net/i/00000135-abef-4d3d-ecf8-187780000000

We are equipped for proteomics research including Cell Fractionation on one floor and tabletop Ultracentrifuges (Beckman Coulter) , Fast Protein Liquid Chromatography (FPLC), Two-Dimensional Protein Electrophoresis (Protean II, Biorad), and Gel Documentation Systems (one Bio-Rad and one Fuji Medical). Protein quantification can be done using UV-Vis spectrophotometry ( DU650, Beckman Coulter) or multimode Plate Spectrophotometers in both 96-well and 384-well micro well plate formats. Protein gels can also be visualized, digitized, and documented on Multi-Mode Imager Typhoon 9410.

Proper citation: CAU CCRTD-Proteomics (RRID:SCR_009687) Copy   

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http://harvard.eagle-i.net/i/0000012e-e30c-f348-cb22-be8c80000000

Core facility that provides the following services: Immunoassay expertise for several methodologies, Specialty hormone analysis. The Specialty Assay Research Core Lab (CLIA certified laboratory) is an analytical research core designed to provide scientific and analytical services to the Partners and non-Partners research communities. The primary objective of the core is to provide sensitive, cost-effective, and reproducible clinical research assays to investigators for endocrine, diabetes, bone markers, inflammatory and sleep medicine related research in both human and animal clinical research protocols. The core hopes to collaborate with investigators in biomarkers discovery and to offer new tools to the scientific community. The core also serves as a central laboratory for multisite studies. The SARC facility offers tests for any investigators (local or national) or industry, but preference may be given to internal users. Different rates may apply.

Proper citation: BWH Specialty Assay Research Core Laboratory (RRID:SCR_009686) Copy   

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http://www.paris-neuroscience.fr/en/graduate-program

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 31, 2022. The Paris School of Neuroscience (ENP) is a network of outstanding neuroscience laboratories in Paris area, within major universities and research institutes. ENP aims at facilitating graduate training of selected students in the Paris area. It covers all areas of Neuroscience and associated methodologies, from fundamental to clinical and from molecular to cognitive. It brings together a majority of the outstanding teams in Neuroscience in le-de-France region. ENP forms a network of research groups, scientific and technological facilities, and research centers, with recognized expertise in Neuroscience, which is original at the international level. Pre-PhD and PhD programs are open to highly talented and motivated students, who received their undergraduate training outside of France, irrespective of their original disciplines. Pre-PhD > Up to a year of rotations in participating laboratories. This can include a Masters degree. PhD > Three year program (with possible one year extension). Training and Courses > Courses in neuroscience and relate topics ? International Conferences and seminars ? French language courses ? Individual supervision by a tutor and a thesis committee ? Annual retreat with faculty members and guest scientists. Principal activities : -Coordinating the offers of the associated universities to organize an advanced international doctoral training program -Facilitating collaborative efforts and innovative research of the participating laboratories -Attracting outstanding scientists to the le-de-France region and facilitating their setting up in Paris area -Organizing joint activities, including seminars, conferences, summer schools, workshops, symposia, etc.

Proper citation: Paris School of Neuroscience PhD Program (RRID:SCR_008355) Copy   

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http://harvard.eagle-i.net/i/0000013c-2506-8388-e81d-064c80000000

Core facility that provides the following services: PSG Procedures, PSG Data Archiving, PSG Training to Staff, PSG Data Processing and Analysis Support. The Sleep & EEG Core within the Division of Sleep Medicine (DSM) provides an integrated infrastructure and knowledge base in support of research projects that use polysomnography (PSG), quantitative EEG analysis and related methodologies. The Core consists of a team of specialists lead by the Core director and a chief PSG technologist. The Core provides support and services in different areas: # It provides basic training and certification in PSG and EEG instrumentation to technicians and investigators, particularly those conducting studies at the Center for Clinical Investigation (CCI) at Brigham and Women?s Hospital. # It acts as liaison between DSM investigators and CCI technical staff, and implements and monitors quality assurance measures. # It carries out standard vigilance state scoring of PSG recordings and different types of waking EEG and electrooculogram analyses. # It carries out spectral analysis of sleep and waking EEG. # It evaluates, acquires, and maintains PSG and EEG equipment used by investigators of the CCI. # It carries out PSG procedures such as sleep screens and multiple sleep latency tests. # It assists investigators in the analysis and interpretation of sleep and EEG data. Over the years, the Sleep & EEG Core has been a central part of many projects funded by NIH, the Air Force Office of Scientific Research (AFOSR), and the National Space Biomedical Research Institute (NSBRI) that had a main focus on the physiology of human sleep-wake regulation. Scientifically, the Core has contributed by providing investigators with important quantitative measures of homeostatic and circadian components of the human sleep-wake regulatory system.

Proper citation: BWH Sleep and EEG Core (RRID:SCR_009684) Copy   

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