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Found 11 result(s)
The Comprehensive Epidemiologic Data Resource (CEDR) is the U.S. Department of Energy (DOE) electronic database comprised of health studies of DOE contract workers and environmental studies of areas surrounding DOE facilities. DOE recognizes the benefits of data sharing and supports the public's right to know about worker and community health risks. CEDR provides independent researchers and educators with access to de-identified data collected since the Department's early production years. Current CEDR holdings include more than 76 studies of over 1 million workers at 31 DOE sites. Access to these data is at no cost to the user.
Content type(s)
The future of tropical forests matter to future climate. NGEE-Tropics is advancing model predictions of tropical forest carbon cycle responses to a changing climate over the 21st Century.
eBird is among the world’s largest biodiversity-related science projects, with more than 1 billion records, more than 100 million bird sightings contributed annually by eBirders around the world, and an average participation growth rate of approximately 20% year over year. A collaborative enterprise with hundreds of partner organizations, thousands of regional experts, and hundreds of thousands of users, eBird is managed by the Cornell Lab of Ornithology. eBird data document bird distribution, abundance, habitat use, and trends through checklist data collected within a simple, scientific framework. Birders enter when, where, and how they went birding, and then fill out a checklist of all the birds seen and heard during the outing. Data can be accessed from the Science tab on the website.
Country
National Genomic Resources Repository is established as an institutional framework for methodical and centralized efforts to collect, generate, conserve and distribute genomic resources for agricultural research.
ArrayExpress is one of the major international repositories for high-throughput functional genomics data from both microarray and high-throughput sequencing studies, many of which are supported by peer-reviewed publications. Data sets are submitted directly to ArrayExpress and curated by a team of specialist biological curators. In the past (until 2018) datasets from the NCBI Gene Expression Omnibus database were imported on a weekly basis. Data is collected to MIAME and MINSEQE standards.
Earthdata powered by EOSDIS (Earth Observing System Data and Information System) is a key core capability in NASA’s Earth Science Data Systems Program. It provides end-to-end capabilities for managing NASA’s Earth science data from various sources – satellites, aircraft, field measurements, and various other programs. EOSDIS uses the metadata and service discovery tool Earthdata Search https://search.earthdata.nasa.gov/search. The capabilities of EOSDIS constituting the EOSDIS Science Operations are managed by NASA's Earth Science Data and Information System (ESDIS) Project. The capabilities include: generation of higher level (Level 1-4) science data products for several satellite missions; archiving and distribution of data products from Earth observation satellite missions, as well as aircraft and field measurement campaigns. The EOSDIS science operations are performed within a distributed system of many interconnected nodes - Science Investigator-led Processing Systems (SIPS), and distributed, discipline-specific, Earth science Distributed Active Archive Centers (DAACs) with specific responsibilities for production, archiving, and distribution of Earth science data products. The DAACs serve a large and diverse user community by providing capabilities to search and access science data products and specialized services.
Country
The National Archives makes Denmark's largest collection of questionnaire-based research data available to researchers and students. Order quantitative research data, conduct analyzes online and access register data and international survey data. Formerly known as the Danish Data Archive (DDA), it was the national social science data archive.
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.
The Immunology Database and Analysis Portal (ImmPort) archives clinical study and trial data generated by NIAID/DAIT-funded investigators. Data types housed in ImmPort include subject assessments i.e., medical history, concomitant medications and adverse events as well as mechanistic assay data such as flow cytometry, ELISA, ELISPOT, etc. --- You won't need an ImmPort account to search for compelling studies, peruse study demographics, interventions and mechanistic assays. But why stop there? What you really want to do is download the study, look at each experiment in detail including individual ELISA results and flow cytometry files. Perhaps you want to take those flow cytometry files for a test drive using FLOCK in the ImmPort flow cytometry module. To download all that interesting data you will need to register for ImmPort access.
Country
More than a quarter of a million people — one in 10 NSW men and women aged over 45 — have been recruited to our 45 and Up Study, the largest ongoing study of healthy ageing in the Southern Hemisphere. The baseline information collected from all of our participants is available in the Study’s Data Book. This information, which researchers use as the basis for their analyses, contains information on key variables such as height, weight, smoking status, family history of disease and levels of physical activity. By following such a large group of people over the long term, we are developing a world-class research resource that can be used to boost our understanding of how Australians are ageing. This will answer important health and quality-of-life questions and help manage and prevent illness through improved knowledge of conditions such as cancer, heart disease, depression, obesity and diabetes.
!!! >>> merged with https://www.re3data.org/repository/r3d100012653 <<< !!! RDoCdb is an informatics platform for the sharing of human subjects data generated by investigators as part of the NIMH's Research Domain Criteria initiative, and to support this initiative's aims. It also accepts and shares appropriate data related to mental health from other sources.