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Found 16 result(s)

Scholarly Database at Indiana University

SDB

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The Scholarly Database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. The online interface provides access to six datasets: MEDLINE papers, registered Clinical Trials, U.S. Patent and Trademark Office patents (USPTO), National Science Foundation (NSF) funding, National Institutes of Health (NIH) funding, and National Endowment for the Humanities funding – over 26 million records in total.

PAIN repository

Pain and Interoception Imaging Network Repository

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The PAIN Repository is a recently funded NIH initiative, which has two components: an archive for already collected imaging data (Archived Repository), and a repository for structural and functional brain images and metadata acquired prospectively using standardized acquisition parameters (Standardized Repository) in healthy control subjects and patients with different types of chronic pain. The PAIN Repository provides the infrastructure for storage of standardized resting state functional, diffusion tensor imaging and structural brain imaging data and associated biological, physiological and behavioral metadata from multiple scanning sites, and provides tools to facilitate analysis of the resulting comprehensive data sets.

NOAA Antarctic UV Monitoring Network

formerly: National Science Foundation Polar Programs UV Monitoring Network

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The National Science Foundation (NSF) Ultraviolet (UV) Monitoring Network provides data on ozone depletion and the associated effects on terrestrial and marine systems. Data are collected from 7 sites in Antarctica, Argentina, United States, and Greenland. The network is providing data to researchers studying the effects of ozone depletion on terrestrial and marine biological systems. Network data is also used for the validation of satellite observations and for the verification of models describing the transfer of radiation through the atmosphere.

Project Achilles

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Project Achilles is a systematic effort aimed at identifying and cataloging genetic vulnerabilities across hundreds of genomically characterized cancer cell lines. The project uses genome-wide genetic perturbation reagents (shRNAs or Cas9/sgRNAs) to silence or knock-out individual genes and identify those genes that affect cell survival. Large-scale functional screening of cancer cell lines provides a complementary approach to those studies that aim to characterize the molecular alterations (e.g. mutations, copy number alterations) of primary tumors, such as The Cancer Genome Atlas (TCGA). The overall goal of the project is to identify cancer genetic dependencies and link them to molecular characteristics in order to prioritize targets for therapeutic development and identify the patient population that might benefit from such targets. Project Achilles data is hosted on the Cancer Dependency Map Portal (DepMap) where it has been harmonized with our genomics and cellular models data. You can access the latest and all past datasets here: https://depmap.org/portal/download/all/

Growing Up Today Study

GUTS

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<<<!!!<<< The 2019-2020 Questionnaire is no longer live. >>>!!!>>>

Viral Bioinformatics Resource Center

VBRC

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Databases of viral genomic information (genes, gene families, and genomes), and software to perform comparative genomics analyses

GRACE ISDC

Gravity Recovery and Climate Experiment

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The twin GRACE satellites were launched on March 17, 2002. Since that time, the GRACE Science Data System (SDS) has produced and distributed estimates of the Earth gravity field on an ongoing basis. These estimates, in conjunction with other data and models, have provided observations of terrestrial water storage changes, ice-mass variations, ocean bottom pressure changes and sea-level variations. This portal, together with PODAAC, is responsible for the distribution of the data and documentation for the GRACE project.

TerraSAR-X TOR

TSX Tracking Occultation and Ranging

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TerraSAR-X is a German satellite for Earth Observation, which was launched on July 14, 2007. The mission duration was foreseen to be 5 years. TerraSAR-X carries an innovative high resolution x-band sensor for imaging with resolution up to 1 m. TerraSAR-X carries as secondary payload an IGOR GPS receiver with GPS RO capability. GFZ provided the IGOR and is responsible for the related TOR experiment (Tracking, Occultation and Ranging). TerraSAR-X provides continuously atmospheric GPS data in near-real time. These data from GFZ are continuously assimilated in parallel with those from GRACE-A by the world-leading weather centers to improve their global forecasts. TerraSAR-X, together with TanDEM-X also forms a twin-satellite constellation for atmosphere sounding and generates an unique data set for the evaluation of the accuracy of the GPS-RO technique.

NIDDK Central Repository

The National Institute of Diabetes and Digestive and Kidney Diseases

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In 2003, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) at NIH established Data, Biosample, and Genetic Repositories to increase the impact of current and previously funded NIDDK studies by making their data and biospecimens available to the broader scientific community. These Repositories enable scientists not involved in the original study to test new hypotheses without any new data or biospecimen collection, and they provide the opportunity to pool data across several studies to increase the power of statistical analyses. In addition, most NIDDK-funded studies are collecting genetic biospecimens and carrying out high-throughput genotyping making it possible for other scientists to use Repository resources to match genotypes to phenotypes and to perform informative genetic analyses.

NIST FLYCHK

Collisional-Radiative Code

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FLYCHK provides a capability to generate atomic level populations and charge state distributions for low-Z to mid-Z elements under NLTE conditions.

Common Cold Project Data Sets

Carnegie Mellon University Digital Collections

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The Common Cold Project began in 2011 with the aim of creating, documenting, and archiving a database that combines final research data from 5 prospective viral-challenge studies that were conducted over the preceding 25 years: the British Cold Study (BCS); the three Pittsburgh Cold Studies (PCS1, PCS2, and PCS3); and the Pittsburgh Mind-Body Center Cold Study (PMBC). These unique studies assessed predictor (and hypothesized mediating) variables in healthy adults aged 18 to 55 years, experimentally exposed them to a virus that causes the common cold, and then monitored them for development of infection and signs and symptoms of illness.

CaPSURE

Cancer of the Prostate Strategic Urologic Research Endeavor

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CaPSURE™ is a longitudinal, observational study of approximately 15,000 men with all stages of biopsy-proven prostate cancer. Patients have enrolled at 43 community urology practices, academic medical centers, and VA hospitals throughout the United States since 1995. CEASAR stands for Comparative Effectiveness Analysis of Surgery and Radiation. The ongoing goal of CEASAR is to help learn more about what prostate cancer treatments work best, for which patients, in whose hands. There are currently about 3,600 men with a prostate cancer diagnosis participating in CEASAR. Three rounds of surveys have been completed, with the first carried out in the spring of 2010. We are currently in the process of conducting our fourth survey with the same group of men in our study. This survey, our Three Year Follow-up, will occur throughout the summer of 2014.

Central Neuroimaging Data Archive

CNDA

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The Central Neuroimaging Data Archive (CNDA) allows for sharing of complex imaging data to investigators around the world, through a simple web portal. The CNDA is an imaging informatics platform that provides secure data management services for Washington University investigators, including source DICOM imaging data sharing to external investigators through a web portal, cnda.wustl.edu. The CNDA’s services include automated archiving of imaging studies from all of the University’s research scanners, automated quality control and image processing routines, and secure web-based access to acquired and post-processed data for data sharing, in compliance with NIH data sharing guidelines. The CNDA is currently accepting datasets only from Washington University affiliated investigators. Through this platform, the data is available for broad sharing with researchers both internal and external to Washington University.. The CNDA overlaps with data in oasis-brains.org https://www.re3data.org/repository/r3d100012182, but CNDA is a larger data set.

Laboratory of Neuroimaging Image & Data Archive

LONI Image & Data Archive

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LONI’s Image and Data Archive (IDA) is a secure data archiving system. The IDA uses a robust infrastructure to provide researchers with a flexible and simple interface for de-identifying, searching, retrieving, converting, and disseminating their biomedical data. With thousands of investigators across the globe and more than 21 million data downloads to data, the IDA guarantees reliability with a fault-tolerant network comprising multiple switches, routers, and Internet connections to prevent system failure.

International Neuroimaging Data-sharing Initiative

INDI

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INDI was formed as a next generation FCP effort. INDI aims to provide a model for the broader imaging community while simultaneously creating a public dataset capable of dwarfing those that most groups could obtain individually.

Cancer Cell Line Encyclopedia

CCLE

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The Cancer Cell Line Encyclopedia project is a collaboration between the Broad Institute, and the Novartis Institutes for Biomedical Research and its Genomics Institute of the Novartis Research Foundation to conduct a detailed genetic and pharmacologic characterization of a large panel of human cancer models, to develop integrated computational analyses that link distinct pharmacologic vulnerabilities to genomic patterns and to translate cell line integrative genomics into cancer patient stratification. The CCLE provides public access to genomic data, analysis and visualization for about 1000 cell lines.