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Found 43 result(s)
The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is a team of researchers, data specialists and computer system developers who are supporting the development of a data management system to store scientific data generated by Gulf of Mexico researchers. The Master Research Agreement between BP and the Gulf of Mexico Alliance that established the Gulf of Mexico Research Initiative (GoMRI) included provisions that all data collected or generated through the agreement must be made available to the public. The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is the vehicle through which GoMRI is fulfilling this requirement. The mission of GRIIDC is to ensure a data and information legacy that promotes continual scientific discovery and public awareness of the Gulf of Mexico Ecosystem.
INDEPTH is a global network of research centres that conduct longitudinal health and demographic evaluation of populations in low- and middle-income countries (LMICs). INDEPTH aims to strengthen global capacity for Health and Demographic Surveillance Systems (HDSSs), and to mount multi-site research to guide health priorities and policies in LMICs, based on up-to-date scientific evidence. The data collected by the INDEPTH Network members constitute a valuable resource of population and health data for LMIC countries. This repository aims to make well documented anonymised longitudinal microdata from these Centres available to data users.
Intrepid Bioinformatics serves as a community for genetic researchers and scientific programmers who need to achieve meaningful use of their genetic research data – but can’t spend tremendous amounts of time or money in the process. The Intrepid Bioinformatics system automates time consuming manual processes, shortens workflow, and eliminates the threat of lost data in a faster, cheaper, and better environment than existing solutions. The system also provides the functionality and community features needed to analyze the large volumes of Next Generation Sequencing and Single Nucleotide Polymorphism data, which is generated for a wide range of purposes from disease tracking and animal breeding to medical diagnosis and treatment.
BindingDB is a public, web-accessible database of measured binding affinities, focusing chiefly on the interactions of proteins considered to be candidate drug-targets with ligands that are small, drug-like molecules. BindingDB supports medicinal chemistry and drug discovery via literature awareness and development of structure-activity relations (SAR and QSAR); validation of computational chemistry and molecular modeling approaches such as docking, scoring and free energy methods; chemical biology and chemical genomics; and basic studies of the physical chemistry of molecular recognition. BindingDB also includes a small collection of host-guest binding data of interest to chemists studying supramolecular systems. The data collection derives from a variety of measurement techniques, including enzyme inhibition and kinetics, isothermal titration calorimetry, NMR, and radioligand and competition assays. BindingDB includes data extracted from the literature by the BindingDB project, selected PubChem confirmatory BioAssays, and ChEMBL entries for which a well defined protein target ("TARGET_TYPE='PROTEIN'") is provided. Data extracted by BindingDB typically includes more details regarding experimental conditions, etc
Edinburgh DataShare is an online digital repository of multi-disciplinary research datasets produced at the University of Edinburgh, hosted by the Data Library in Information Services. Edinburgh University researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset for sharing and safekeeping. A persistent identifier and suggested citation will be provided.
SSDA Dataverse is one of the archiving opportunities of SSDA, the others are: Data can be archived by SSDA itself (http://dataarchives.ss.ucla.edu/index.html) or by ICPSR or by UCLA Library or by California Digital Library. The Social Science Data Archives serves the UCLA campus as an archive of faculty and graduate student survey research. We provide long term storage of data files and documentation. We ensure that the data are useable in the future by migrating files to new operating systems. We follow government standards and archival best practices. The mission of the Social Science Data Archive has been and continues to be to provide a foundation for social science research with faculty support throughout an entire research project involving original data collection or the reuse of publicly available studies. Data Archive staff and researchers work as partners throughout all stages of the research process, beginning when a hypothesis or area of study is being developed, during grant and funding activities, while data collection and/or analysis is ongoing, and finally in long term preservation of research results. Our role is to provide a collaborative environment where the focus is on understanding the nature and scope of research approach and management of research output throughout the entire life cycle of the project. Instructional support, especially support that links research with instruction is also a mainstay of operations.
Country
The FDZ-DZA (Forschungsdatenzentrum DZA) is a facility of the German Centre of Gerontology (Deutsches Zentrum für Altersfragen, DZA) and has received accreditation as research data center DZA by the German Data Forum (RatSWD). Its main task is to make data of the German Ageing Survey DEAS and the German Survey on Volunteering (FWS) accessible to researchers by providing user-friendly Scientific Use Files (SUF), documentation of the contents and instruments as well support for scholars using the data.
Country
Federal Health Reporting (Gesundheitsberichterstattung des Bundes, GBE) continuously supplies current data and information on the German population's state of health and the country's healthcare services. It covers a broad spectrum of topics, ranging from diseases, symptoms and risk factors to subjective well-being and health-related quality of life, utilization of preventive and healthcare services as well as the structures and costs of healthcare system.
The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States. Operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan, HMCA preserves and disseminates data collected by selected research projects funded by the Foundation and facilitates secondary analyses of the data. Our goal is to increase understanding of health and health care in the United States through secondary analysis of RWJF-supported data collections
Reactome is a manually curated, peer-reviewed pathway database, annotated by expert biologists and cross-referenced to bioinformatics databases. Its aim is to share information in the visual representations of biological pathways in a computationally accessible format. Pathway annotations are authored by expert biologists, in collaboration with Reactome editorial staff and cross-referenced to many bioinformatics databases. These include NCBI Gene, Ensembl and UniProt databases, the UCSC and HapMap Genome Browsers, the KEGG Compound and ChEBI small molecule databases, PubMed, and Gene Ontology.
The Cancer Imaging Archive is a freely accessible repository containing medical images and supporting data from cancer patients. Images are stored in DICOM file format. The images are organized as “Collections”, typically patients related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Search functionality allows users to query across Collections or within them to filter out only the data they are most interested in.
The NCAA Student-Athlete Experiences Data Archive provides access to data about student athletes and will grow to include a handful of user-friendly data collections related to graduation rates; team-level Academic Progress Rates in Division I; and individual-level data on the experiences of current and former student-athletes from the NCAA's Growth, Opportunities, Aspirations and Learning of Students in college study (GOALS), and the Study of College Outcomes and Recent Experiences (SCORE). In the long run, the NCAA expects to follow this initial release with the publication of as much data as possible from its archives. The data is used by college presidents, athletic personnel, faculty, student-athlete groups, media members, and researchers in looking at issues related to intercollegiate athletics and higher education.
OHSU Digital Commons is a repository for the scholarly and creative work of Oregon Health & Science University. Developed by the OHSU Library, Digital Commons provides the university community with a platform for publishing and accessing content produced by students, faculty, and staff. OHSU Digital Commons documents the history and growth of the university, as well as current progress in education, research, and health care.
Content type(s)
The JCB DataViewer is an image hosting and presentation platform for original image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal from the Rockefeller University Press.
NACDA acquires and preserves data relevant to gerontological research, processing as needed to promote effective research use, disseminates them to researchers, and facilitates their use. By preserving and making available the largest library of electronic data on aging in the United States, NACDA offers opportunities for secondary analysis on major issues of scientific and policy relevance
CPES provides access to information that relates to mental disorders among the general population. Its primary goal is to collect data about the prevalence of mental disorders and their treatments in adult populations in the United States. It also allows for research related to cultural and ethnic influences on mental health. CPES combines the data collected in three different nationally representative surveys (National Comorbidity Survey Replication, National Survey of American Life, National Latino and Asian American Study).
Country
Edmond is the institutional repository of the Max Planck Society for public research data. It enables Max Planck scientists to create citable scientific assets by describing, enriching, sharing, exposing, linking, publishing and archiving research data of all kinds. A unique feature of Edmond is the dedicated metadata management, which supports a non-restrictive metadata schema definition, as simple as you like or as complex as your parameters require. Further on, all objects within Edmond have a unique identifier and therefore can be clearly referenced in publications or reused in other contexts.
Content type(s)
The IDR makes datasets that have never previously been accessible publicly available, allowing the community to search, view, mine and even process and analyze large, complex, multidimensional life sciences image data. Sharing data promotes the validation of experimental methods and scientific conclusions, the comparison with new data obtained by the global scientific community, and enables data reuse by developers of new analysis and processing tools.
Science3D is an Open Access project to archive and curate scientific data and make them available to everyone interested in scientific endeavours. Science3D focusses mainly on 3D tomography data from biological samples, simply because theses object make it comparably easy to understand the concepts and techniques. The data come primarily from the imaging beamlines of the Helmholtz Center Geesthacht (HZG), which make use of the uniquely bright and coherent X-rays of the Petra3 synchrotron. Petra3 - like many other photon and neutron sources in Europe and World-wide - is a fantastic instrument to investigate the microscopic detail of matter and organisms. The experiments at photon science beamlines hence provide unique insights into all kind of scientific fields, ranging from medical applications to plasma physics. The success of these experiments demands enormous efforts of the scientists and quite some investments
The Integrated Fertility Survey Series (IFSS) is a project of the Population Studies aiming in view to produce a harmonized dataset of U.S. family and fertility surveys spanning five decades (1955-2002). IFSS integrates data from ten underlying component studies of family and fertility encompassing the Growth of American Families (GAF) in 1955 and 1960; National Fertility Surveys (NFS) in 1965 and 1970; as well as National Surveys of Family Growth (NSFG) in 1973, 1976, 1982, 1988, 1995, and 2002. The first release contains harmonized sociodemographic variables for all respondents from all ten component studies, including those related to marital status, race and ethnicity, etc. Thus it provides access to researchers, educators, students, policy makers, and others with a data resource to examine issues related to families and fertility in the United States. Potential users can download original/ harmonized datasets (along with documentation) and numerous analytic tools make it possible to quickly and easily explore the data and obtain information about changes in behaviors and attitudes across time.
NURSA began in 2002 with the objective to accrue, develop and communicate information about the nuclear receptor superfamily. Over the last ten years, NURSA has developed a website that has developed into a comprehensive source of information about nuclear receptors, and their co-regulators, ligands, and downstream targets. Through a series of integrated 'omics-scale and informatic approaches projects, NURSA has fostered a systems biology understanding of nuclear receptor function, physiology and regulation of target gene networks in vivo.
Recode2 is a database of genes that utilize non-standard translation for gene expression purposes. Recoding events described in the database include programmed ribosomal frameshifting, translational bypassing (aka hopping) and mRNA specific codon redefinition. Frameshifting at a particular site often yields two protein products from one coding sequence and sometimes serves a regulatory purpose by acting as a sensor of the level of product protein or of some external ligand. Bypassing (hopping) allows the coupling of two ORFs separated on an mRNA by a coding gap. Codon redefinition occurs when a stop codon is decoded as a standard amino acid (often glutamine or tryptophan), or the 21st amino acid selenocysteine. These recoding events are in competition with standard decoding and are site specific. The efficiency of recoding is often modulated by cis-stimulators and sometimes by trans-factors. The sequences of the genes that use recoding for their expression are in the database. The recoding sites and the known stimulatory signals are annotated in the database together with notes on factors that are known to affect recoding efficiencies.
PSI is a global health organization dedicated to improving the health of people in the developing world by focusing on serious challenges like a lack of family planning, HIV and AIDS, barriers to maternal health, and the greatest threats to children under five, including malaria, diarrhea, pneumonia and malnutrition. A hallmark of PSI is a commitment to the principle that health services and products are most effective when they are accompanied by robust communications and distribution efforts that help ensure wide acceptance and proper use. PSI works in partnership with local governments, ministries of health and local organizations to create health solutions that are built to last. We use original data to monitor and evaluate our programs, generate consumer insight, estimate the impact of our solutions, and evaluate the health of the markets we work to strengthen.
The SICAS Medical Image Repository is a database for the management of medical images and subsequently generated models of the bony anatomy. The database will provide a framework for the integration of statistical shape models. This will contribute to less invasive procedures, e.g. by reduced radiation exposure, and it will enable patient specific implant design.