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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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University of Ottawa; Ontario; Canada Resource Report Resource Website 1+ mentions |
University of Ottawa; Ontario; Canada (RRID:SCR_006319) | uOttawa | university | University of Ottawa often referred to as uOttawa or U of O, is a bilingual public research university in Ottawa, Ontario, Canada. |
is parent organization of: Ottawa Hospital Research Institute Labs and Facilities is parent organization of: XplorMed is parent organization of: Peer Review Radio is parent organization of: Subviral RNA Database is parent organization of: StemBase is parent organization of: Ottawa Hospital Research Institute StemCore Laboratories Core Facility is parent organization of: DAMBE is parent organization of: Autonomous Training of a Forelimb Motor Task project is parent organization of: University of Ottawa Louise Pelletier Histology Core Facility is parent organization of: University of Ottawa Preclinical Imaging Core Facility is parent organization of: University of Ottawa Cell Biology and Image Acquisition Core Facility is parent organization of: University of Ottawa Bioinformatics Core Facility is parent organization of: University of Ottawa Genome Editing and Molecular Biology Core Facility is parent organization of: University of Ottawa Flow Cytometry and Virometry Core Facility is parent organization of: Ottawa Hospital Research Institute Flow Cytometry and Cell Sorting Core Facility is parent organization of: University of Ottawa Electron Microscopy Core Facility is parent organization of: Cardio-Neuro-Mind Data Platform is parent organization of: Ottawa Hospital Research Institute Human Pluripotent Stem Cell Core Facility is parent organization of: University of Ottawa Integrated Neurocognitive and Social Psychophysiology Interdisciplinary Research Environment (INSPIRE) Core Facility |
Wikidata Q627969, Crossref Funder ID 100008572, ISNI 0000 0001 2182 2255, GRID grid.28046.38 | https://ror.org/03c4mmv16 | SCR_006319 | SciCrunch Registry | , uOttawa, U of O, University of Ottawa | 2026-10-24 12:52:09 | 4 | ||||||||
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University of Wurzburg; Bavaria; Germany Resource Report Resource Website |
University of Wurzburg; Bavaria; Germany (RRID:SCR_007008) | institution, university |
is parent organization of: InterSpecies Analysing Application using Containers is parent organization of: Neurofly |
SCR_007008 | SciCrunch Registry | University of Wurzburg, University of Würzburg, Julius-Maximilians-Universität Würzburg, Julius-Maximilian''s University of Würzburg | 2026-10-24 12:52:09 | 0 | ||||||||||||
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University of Santiago de Compostela; Santiago de Compostela; Spain Resource Report Resource Website |
University of Santiago de Compostela; Santiago de Compostela; Spain (RRID:SCR_007888) | USC | institution, university | is related to: Open PHACTS | SCR_007888 | SciCrunch Registry | Universidade de Santiago de Compostela, University of Santiago de Compostela | 2026-10-24 12:52:11 | 0 | |||||||||||
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Registry Builder Data Harmonization and Aggregation Tool Resource Report Resource Website |
Registry Builder Data Harmonization and Aggregation Tool (RRID:SCR_006559) | Registry Builder Data Harmonization and Aggregation Tool | commercial organization, software resource | Software to harmonize the data that you have in different Excel files, databases, repositories, biospecimen applications, etc. and maps it to one common registry. Remedy Informatics' platform aggregates data from multiple sources, harmonizes the data via Ontology, and provides data visualization and pattern recognition and querying tools. | registry, ontology, visualization, pattern recognition, querying tool | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Mosaic License, Http://www.nitrc.org/include/glossary.php#694 | nlx_155942 | http://www.nitrc.org/projects/registrybuilder | SCR_006559 | SciCrunch Registry | 2026-10-24 12:52:10 | 0 | |||||||
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University of Paris; Paris; France Resource Report Resource Website 1+ mentions |
University of Paris; Paris; France (RRID:SCR_006398) | institution, university | SCR_006398 | SciCrunch Registry | 2026-10-24 12:52:09 | 1 | ||||||||||||||
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DNA Chromatogram Explorer Resource Report Resource Website 1+ mentions |
DNA Chromatogram Explorer (RRID:SCR_005585) | Chromatogram Explorer | commercial organization, software resource | A Windows Explorer clone dedicated to DNA sequence analysis and manipulation. View, edit, and convert chromatograms. Trim low quality ends automatically. The Lite version of Chromatogram Explorer is freeware. | chromatogram | is listed by: OMICtools | Commercial license, Free, (Lite version) | OMICS_01018 | SCR_005585 | SciCrunch Registry | DNA Chromatogram Explorer Lite, Chromatogram Explorer Lite | 2026-10-24 12:52:08 | 1 | |||||||
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University of Pittsburgh School of Medicine; Pennsylvania; USA Resource Report Resource Website 1+ mentions |
University of Pittsburgh School of Medicine; Pennsylvania; USA (RRID:SCR_006674) | UPSOM | institution, university |
has parent organization: University of Pittsburgh; Pennsylvania; USA is parent organization of: caTIES - Cancer Text Information Extraction System is parent organization of: National Center for Multiscale Modeling of Biological Systems is parent organization of: EDDA Study Design Terminology is parent organization of: University of Pittsburgh Department of Ophthalmology Tissue Culture and Histology Module Core Facility |
SCR_006674 | SciCrunch Registry | University of Pittsburgh School of Medicine | 2026-10-24 12:52:09 | 2 | |||||||||||
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Limited Access Datasets From NIMH Clinical Trials Resource Report Resource Website 1+ mentions |
Limited Access Datasets From NIMH Clinical Trials (RRID:SCR_005614) | Limited Access Datasets From NIMH Clinical Trials | data or information resource, data set | 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. | clinical trial, mental health, child |
uses: ClinicalTrials.gov uses: Sequenced Treatment Alternatives to Relieve Depression Study uses: CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness uses: CATIE - Alzheimers Disease uses: Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) uses: TADS - Treatment for Adolescents with Depression Study uses: Treatment of SSRI-resistant Depression in Adolescents (TORDIA) is listed by: re3data.org has parent organization: NIMH Clinical Trials |
Depressive Disorder, Attention deficit-hyperactivity disorder, Autism Spectrum Disorder, Bipolar Disorder, Alzheimer's disease, Anxiety, Schizophrenia, Pervasive Development Disorder | NIMH | Approval required, Data Use Certification required | nlx_146232 | http://www.nimh.nih.gov/funding/clinical-trials-for-researchers/datasets/ | http://www.nimh.nih.gov/trials/datasets/nimh-procedures-for-requesting-data-sets.shtml, http://www.nimh.nih.gov/health/trials/datasets/ | SCR_005614 | SciCrunch Registry | Available Limited Access Datasets From NIMH Clinical Trials | 2026-10-24 12:52:09 | 1 | |||
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1000 Genomes Project and AWS Resource Report Resource Website 5000+ mentions |
1000 Genomes Project and AWS (RRID:SCR_008801) | 1000 Genomes Project and AWS | data or information resource, data set | 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. | genomic data, genome, cloud computing, cloud, human, gene, genetic variation, research, dna |
is used by: HmtVar is related to: Broad Institute Genomics Platform has parent organization: Amazon Web Services |
nlx_144340 | SCR_008801 | SciCrunch Registry | 1000 Genomes Project and Amazon Web Services, 000 Genomes Project Amazon Web Services, 1000 Genomes Project AWS | 2026-10-24 12:52:11 | 7076 | ||||||||
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Alameda County Health and Ways of Living Study Resource Report Resource Website |
Alameda County Health and Ways of Living Study (RRID:SCR_008889) | Health and Ways of Living Study | data or information resource, data set | Data set from a long-term population-based prospective study of non-institutionalized residents (aged 21 or older, or aged 16-21 and older if married) in Alameda County, California investigating social and behavioral risk factors for morbidity, mortality, functioning and health. Questions were asked on marital and life satisfaction, parenting, physical activities, employment, health status, and childhood experiences. Demographic information on age, race, height, weight, education, income, and religion was also collected. Included with this dataset is a separate file (part 2) containing mortality data. With the aging of this cohort, data are becoming increasingly valuable for examining the life-long cumulative effects of social and behavioral factors on a well-characterized population. The first wave collected information for 6,928 respondents (including approximately 500 women aged 65 years and older) on chronic health conditions, health behaviors, social involvements, and psychological characteristics. The 1974 questionnaire was sent to 6,246 living subjects who had responded in 1965, and were able to be located. The third wave provides a follow-up of 2,729 original 1965 and 1974 respondents and examines health behaviors such as alcohol consumption and smoking habits, along with social activities. Also included is information on health conditions such as diabetes, osteoporosis, hormone replacement, and mental illness. Another central topic investigated is activities of daily living (including self-care such as dressing, eating, and shopping), along with use of free time and level of involvement in social, recreational, religious, and environmental groups. The fourth wave is a follow-up to the 1994 panel and examines changes in functional abilities such as self-care activities, employment, involvement in community activities, visiting friends/family, and use of free time since 1994. * Dates of Study: 1965-1999 * Sample Size: 1965: 6,928; 1974: 4,864; 1994: 2,729; 1995: 2,569, 1999: 2,123 * Study Features: Longitudinal Links: * 1965 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06688 * 1974 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06838 * 1994 and 1995 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03083 * 1999 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04432#summary | longitudinal, adult, adolescent, social, behavior, risk factor, morbidity, mortality, functioning, health, woman, late adult human, chronic health condition, psychological characteristic, questionnaire, activities of daily living, chronic illness, community involvement, health behavior, health care service, independent living, living arrangement, mental health, physical condition, social behavior, social life, social network, survey data |
is listed by: Inter-university Consortium for Political and Social Research (ICPSR) is related to: National Archive of Computerized Data on Aging (NACDA) has parent organization: University of Michigan; Ann Arbor; USA |
Households in Alameda County, California., Aging | NIA 5 R37 AG11375-03 | Public | nlx_151356 | SCR_008889 | SciCrunch Registry | Alameda County [California] Health and Ways of Living Study, Alameda County Health Ways Living Study | 2026-10-24 12:52:11 | 0 | |||||
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Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets Resource Report Resource Website 1+ mentions |
Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets (RRID:SCR_008921) | Early Indicators of Later Work Levels Disease and Death, EI project | data or information resource, data set | 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 | late adult human, male, caucasian, african-american, veteran, military, medical, socioeconomic, civil war, american civil war, cause of death, census data, demographic, disease, health status, labor force, medical record, midlife, military pension, pension, military recruitment, military service, mortality rate, nineteenth century, nutrition, socioeconomic status, twentieth century, union army, census |
is related to: National Archive of Computerized Data on Aging (NACDA) has parent organization: University of Chicago; Illinois; USA |
Aging | NIA PO1 AG10120; NSF SBR 9114981 |
Publicly available from ICPSR; copies on CD-ROM may be obtained from the CPE, Which also maintains an interactive Internet Data Archive and Documentation Library. | nlx_151822 | http://www.cpe.uchicago.edu/ | SCR_008921 | SciCrunch Registry | Public Health and Ecological Datasets, Aging of Veterans of the Union Army, Early Indicators of Later Work Levels Disease and Death ������?? Union Army Samples | 2026-10-24 12:52:11 | 1 | ||||
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Fungi Sequencing Projects Resource Report Resource Website 1+ mentions |
Fungi Sequencing Projects (RRID:SCR_008524) | data or information resource, data set | Fungal genomes available from the Sanger Institute. Data are accessible in a number of ways; for each organism there is a BLAST server, allowing search of the sequences. Sequences can also be down-loaded directly by FTP. In addition, for those organisms being sequenced using a cosmid approach, finished and annotated cosmids are submitted to EMBL and other public databases. | genome, genomics, sequence, fungus, blast, data analysis service | has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom | nif-0000-30593 | SCR_008524 | SciCrunch Registry | Fungi Sequencing | 2026-10-24 12:52:11 | 6 | |||||||||
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Ancillary Domains Associated With Human and Mouse Proteases Resource Report Resource Website 1+ mentions |
Ancillary Domains Associated With Human and Mouse Proteases (RRID:SCR_008363) | Ancillary domains associated with human and mouse proteases | data or information resource, data set | 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. | protease, ancillary domain, catalytic domain, aspartyl protease, cysteine protease, metalloprotease, serine protease |
is related to: Mammalian Degradome Database has parent organization: University of Oviedo; Oviedo; Spain |
nif-0000-25547 | SCR_008363 | SciCrunch Registry | Ancillary Domains | 2026-10-24 12:52:12 | 2 | ||||||||
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MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data or information resource, data set | 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. | fmri, functional connectivity, resting-state, independent component analysis, connectome, adolescent, adult, mri, resting state network, connectivity, dataset | has parent organization: MIALAB - Medical Image Analysis Lab | Aging | NRC Bilatgrunn ; NIBIB 1R01-EB006841; NIBIB 1R01- EB005846; NIBIB 2R01-EB000840; NIBIB 1 P20 RR021938-01; DOE DE-FG02-08ER64581; NIMH 1R01-MH072681-01; John Templeton Foundation grant 12456; NIAAA 1P20 AA017068; NINDSR21NS064464 ; NIDA1 R03 DA022435-01A1 ; NIDA1 R03 DA024212-01A1 ; NIDA KO1-DA021632-02 |
PMID:21442040 | nlx_151552 | SCR_008914 | SciCrunch Registry | Medical Image Analysis Laboratory - Resting State Data, MIA Laboratory - Resting State Data, Medical Image Analysis Lab - Resting State Data, Medical Image Analysis (MIA) Laboratory - Resting State Data | 2026-10-24 12:52:11 | 10 | ||||||
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Puerto Rican Elderly: Health Conditions Resource Report Resource Website |
Puerto Rican Elderly: Health Conditions (RRID:SCR_008916) | PREHCO | data or information resource, data set | 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 | longitudinal, international, minority oversampling, anthropometric measure, late adult human, questionnaire, puerto rico, health, residence, social, economic, self-report, disability, dependency, labor force |
has parent organization: University of Wisconsin-Madison; Wisconsin; USA has parent organization: University of Puerto Rico; Puerto Rico; USA |
Late adult human, Aging | NIA RO1 AG1620901A2 | Public | nlx_151829 | SCR_008916 | SciCrunch Registry | Puerto Rican Elderly: Health Conditions (PREHCO), Health Conditions of Elderly Puerto Ricans (PREHCO) | 2026-10-24 12:52:11 | 0 | |||||
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CHB Ultrasound Resource Report Resource Website |
CHB Ultrasound (RRID:SCR_009608) | access service resource, core facility, service resource | Core facility that provides the following services: Ultrasound/sonography access service. Ultrasound, which is also known as sonography, is a painless, non-invasive imaging technique that lets us look inside your child''s body without the use of radiation. It uses high-frequency sound waves to create pictures of organs, bones, tissues and blood vessels. | ultrasonography | is listed by: Eagle I | nlx_156181 | http://www.childrenshospital.org/clinicalservices/Site1867/mainpageS1867P0.html | SCR_009608 | SciCrunch Registry | 2026-10-24 12:52:12 | 0 | |||||||||
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Neuroimage Analysis Center Resource Report Resource Website 1+ mentions |
Neuroimage Analysis Center (RRID:SCR_008998) | NAC | biomedical technology research center, training resource | Biomedical Technology Resource Center that develops image processing and analysis techniques for basic and clinical neurosciences. The NAC research approach emphasizes both specific core technologies and collaborative application projects. The core activity of the center is the development of algorithms and techniques for postprocessing of imaging data. New segmentation techniques aid identification of brain structures and disease. Registration methods are used for relating image data to specific patient anatomy or one set of images to another. Visualization tools allow the display of complex anatomical and quantitative information. High-performance computing hardware and associated software techniques further accelerate algorithms and methods. Digital anatomy atlases are developed for the support of both interactive and algorithmic computational tools. Although the emphasis of the NAC is on the dissemination of concepts and techniques, specific elements of the core software technologies have been made available to outside researchers or the community at large. The NAC's core technologies serve the following major collaborative projects: Alzheimer's disease and the aging brain, morphometric measures in schizophrenia and schizotypal disorder, quantitative analysis of multiple sclerosis, and interactive image-based planning and guidance in neurosurgery. One or more NAC researchers have been designated as responsible for each of the core technologies and the collaborative projects. | brain, neuroimaging, image processing, image analysis, postprocessing, segmentation, registration, algorithm, technique, brain structure, visualization, neurosurgery | has parent organization: Harvard Medical School; Massachusetts; USA | Alzheimer's disease, Aging, Schizophrenia, Schizotypal disorder, Multiple Sclerosis, Neurosurgery | NIBIB P41 EB015902; NCRR P41 RR13218 |
nlx_152643 | SCR_008998 | SciCrunch Registry | Neuroimaging Analysis Center | 2026-10-24 12:52:13 | 8 | ||||||
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Kravitz Dataset1 Resource Report Resource Website 1+ mentions |
Kravitz Dataset1 (RRID:SCR_008759) | Kravitz Dataset1 | data or information resource, data set | The data sets included in this resource are published in Kravitz et al, 2012 Distinct roles for direct and indirect pathway striatal neurons in reinforcement (Nat. Neurosci). The data shows: optogenetic activation of dopamine D1 or D2 receptor-expressing striatal projection neurons influenced reinforcement learning in mice. Stimulating D1 receptor-expressing neurons induced persistent reinforcement, whereas stimulating D2 receptor-expressing neurons induced transient punishment. These 3 recording files contain data collected in 2010 and 2011 by Lex Kravitz in Anatol Kreitzer''s lab at the Gladstone Institutes. Each file contains ~ 1 hour of awake in vivo recording data, containing the spike times for ~30 minutes of spontaneous activity, preceeded or followed by 400 laser pulses (473nm laser light, 1 sec pulses, 3 seconds inter-pulse-interval). The laser pulses were presented at 4 intensities: 0.1mW, 0.3mW, 1.0mW, and 3.0mW, and pulse times at each intensity are given in separate columns in each data file. Finally, each data file contains the identification of ''light-modulated units'' as we identified them (see methods below). Methods: Viral expression of DIO-ChR2-YFP and DIO-YFP We used double-floxed inverted (DIO) constructs to express ChR2-YFP fusions and YFP alone in Cre-expressing neurons, which virtually eliminates recombination in cells that do not express Cre-recombinase (Sohal et al, Nature, 2009). The double-floxed reverse ChR2-YFP or YFP cassette was cloned into a modified version of the pAAV2-MCS vector (Stratagene, La Jolla, CA) carrying the EF-1a promoter and the Woodchuck hepatitis virus posttranscriptional regulatory element (WPRE) to enhance expression. The recombinant AAV vectors were serotyped with AAV1 coat proteins and packaged by the viral vector core at the University of North Carolina. The final viral concentration was 4 x 10^12 virus molecules/mL (by Dot Blot, UNC vector core). This viral construct can now be ordered in single aliquots directly from UNC Vector core as product AAV-EF1a-DIO-hChR2(H134R)-EYFP, at http://genetherapy.unc.edu/services.htm) Implantation of electrode arrays for awake recordings Anaesthesia was induced with a mixture of ketamine and xylazine (100mg ketamine plus 5mg xylazine per kilogram of body weight i.p.) and maintained with isoflurane through a nose cone mounted on a stereotaxic apparatus (Kopf Instruments). The scalp was opened and a hole was drilled in the skull (0.0 to +1.0mm AP, -1.0 to -2.0mm ML from bregma). Two skull screws were implanted in the opposing hemisphere. Dental adhesive (C&B Metabond, Parkell) was used to fix the skull screws in place and coat the surface of the skull. An array of 16 or 32 microwires (35-��m tungsten wires, 100-��m spacing between wires, 200-��m spacing between rows; Innovative Physiology) and one optical fiber in a ferrule was lowered into the striatum (3.0mm below the surface of the brain) and cemented in place with dental acrylic (Ortho-Jet, Lang Dental). After the cement dried, the scalp was sutured shut. Animals were allowed to recover for at least seven days before striatal recordings were made. In vivo electrophysiology Voltage signals from each recording site on the microwire array were band-pass-filtered, such that activity between 150 and 8,000Hz was analysed as spiking activity. This data was amplified, processed and digitally captured using commercial hardware and software (Plexon). Single units were discriminated with principal component analysis (OFFLINE SORTER, Plexon). Two criteria were used to ensure quality of recorded units: (1) recorded units smaller than 100��V (~3 times the noise band) were excluded from further analysis and (2) recorded units in which more than 1% of interspike intervals were shorter than 2ms were excluded from further analysis. Average waveforms were exported with OFFLINE SORTER. During the recording we coupled the array to a laser and pulsed the laser at four intensities (0.1mW, 0.3mW, 1mW, and 3mW). Laser stimulation was run in a cyclical fashion, on for 1 second, and off for 3 seconds. Each neuron received 100 pulses at each laser intensity. Identification of ChR2 expressing units in in vivo recordings For all neurons, peri-event histograms were generated for each laser intensity independently. Neurons were classified as ChR2-expressing if they exhibited a firing rate greater than 3x above the standard deviation of the 1-second preceding the laser pulse within 10msec of the laser onset. Each neuron was tested independently at each laser power, and neurons that satisfied this criteria at any one power were defined as ChR2-expression. | dio-chr2-yfp, cre-recombinase, yellow fluorescent protein, channelrhodopsin, optogenetics, striatum, direct, indirect pathway, neostriatum medium spiny neuron, electrophysiology, recording, action potential, multiunit recording, gladstone institute | has parent organization: University of California at San Francisco; California; USA | PMID:22544310 DOI:10.1038/nn.3100 |
nlx_144028 | SCR_008759 | SciCrunch Registry | Kravitz Dataset 1, Kravitz Data set1, Kravitz Data set 1 | 2026-10-24 12:52:12 | 1 | |||||||
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experimental studies reporting connection probabilities and/or unitary PSP amplitudes Resource Report Resource Website 10+ mentions |
experimental studies reporting connection probabilities and/or unitary PSP amplitudes (RRID:SCR_008995) | data or information resource, data set | Data set of connection probabilities and PSP amplitudes from Chapeton, J., Fares, T., LaSota, D., and Stepanyants, A., Efficient associative memory storage in cortical circuits of inhibitory and excitatory neurons, PNAS, 109(51): E3614E3622 (2012). Available as a PDF under Resources tab. | electrophysiology, neuronal circuitry, cortical circuit, connectivity |
is related to: Neural Circuit Tracer has parent organization: Northeastern University; Massachusetts; USA |
PMID:23213221 | nlx_152604 | SCR_008995 | SciCrunch Registry | 2026-10-24 12:52:11 | 10 | |||||||||
|
SR Research EyeLink Eye Trackers Resource Report Resource Website 100+ mentions |
SR Research EyeLink Eye Trackers (RRID:SCR_009602) | EyeLink Eye Trackers | instrument supplier, material resource | THIS RESOURCE IS NO LONGER AVAILABLE,documented on February 1st, 2022. Instrument supplier providing eye tracking capabilities for behavioral labs as well as for MRI, MEG, and EEG research environments. | eeg, meg, electrocorticography, experiment control, eye tracking, hardware, magnetic resonance, physiological recording, response monitoring, mri, eye tracking device | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | THIS RESOURCE IS NO LONGER AVAILABLE | nlx_155956 | SCR_009602 | SciCrunch Registry | 2026-10-24 12:52:13 | 173 |
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