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Found 1187 result(s)
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caNanoLab is a data sharing portal designed to facilitate information sharing in the biomedical nanotechnology research community to expedite and validate the use of nanotechnology in biomedicine. caNanoLab provides support for the annotation of nanomaterials with characterizations resulting from physico-chemical and in vitro assays and the sharing of these characterizations and associated nanotechnology protocols in a secure fashion.
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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.
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The Cancer Genome Atlas (TCGA) Data Portal provides a platform for researchers to search, download, and analyze data sets generated by TCGA. It contains clinical information, genomic characterization data, and high level sequence analysis of the tumor genomes.
The Data Coordinating Center (DCC) is the central provider of TCGA data. The DCC standardizes data formats and validates submitted data.
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The Cancer in Young People in Canada (CYP-C) surveillance program collects in-depth data concerning risk factors, health outcomes, quality and accessibility of care, and late effects among children and youth with cancer. CYP-C represents a collaboration involving the C17 Council, Canadian Partnerships Against Cancer (CPAC), Public Health Agency of Canada (PHAC), provincial and territorial cancer registries, Statistics Canada and non-governmental organizations.
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>>>!!!<<< The NCI Cancer Models Database, caMOD, was retired on December 24, 2015. Information about many of the mouse models hosted in caMOD was obtained from the Jackson Laboratory Mouse Tumor Biology (MTB) Database and can be accessed through that resource http://tumor.informatics.jax.org/mtbwi/index.do . See caMOD Retirement Announcement https://wiki.nci.nih.gov/display/caMOD/caMOD+Retirement+Announcement >>>>!!<<< Query the Cancer Models database for models submitted by fellow researchers. Retrieve information about the making of models, their genetic description, histopathology, derived cell lines, associated images, carcinogenic agents, and therapeutic trials. Links to associated publications and other resources are provided.
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Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches.
We have expanded to organoids and cell lines and are now called CancerModels.Org
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Candida Genome Database, a resource for genomic sequence data and gene and protein information for Candida albicans and related species. CGD is based on the Saccharomyces Genome Database. The Candida Genome Database (CGD) provides online access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans and related species. C. albicans is the best studied of the human fungal pathogens. It is a common commensal organism of healthy individuals, but can cause debilitating mucosal infections and life-threatening systemic infections, especially in immunocompromised patients. C. albicans also serves as a model organism for the study of other fungal pathogens.
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>>>!!!<<<As stated 2017-05-23 Cancer GEnome Mine is no longer available >>>!!!<<< Cancer GEnome Mine is a public database for storing clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes.
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The Canine Inherited Disorders Database (CIDD) is a joint initiative of the Sir James Dunn Animal Welfare Centre at the Atlantic Veterinary College, University of Prince Edward Island, and the Canadian Veterinary Medical Association. The goals of the database are to reduce the incidence of inherited disorders in dogs by providing information to owners and breeders, and to facilitate the best management possible of these conditions by providing current information to veterinarians.
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This is CSDB version 1 merged from Bacterial (BCSDB) and Plant&Fungal (PFCSDB) databases. This database aims at provision of structural, bibliographic, taxonomic, NMR spectroscopic and other information on glycan and glycoconjugate structures of prokaryotic, plant and fungal origin. It has been merged from the Bacterial and Plant&Fungal Carbohydrate Structure Databases (BCSDB+PFCSDB). The key points of this service are:
High coverage. The coverage for bacteria (up to 2016) and archaea (up to 2016) is above 80%. Similar coverage for plants and fungi is expected in the future. The database is close to complete up to 1998 for plants, and up to 2006 for fungi.
Data quality. High data quality is achieved by manual curation using original publications which is assisted by multiple automatic procedures for error control. Errors present in publications are reported and corrected, when possible. Data from other databases are verified on import.
Detailed annotations. Structural data are supplied with extended bibliography, assigned NMR spectra, taxon identification including strains and serogroups, and other information if available in the original publication.
Services. CSDB serves as a platform for a number of computational services tuned for glycobiology, such as NMR simulation, automated structure elucidation, taxon clustering, 3D molecular modeling, statistical processing of data etc.
Integration. CSDB is cross-linked to other glycoinformatics projects and NCBI databases. The data are exportable in various formats, including most widespread encoding schemes and records using GlycoRDF ontology.
Free web access. Users can access the database for free via its web interface (see Help).
The main source of data is retrospective literature analysis. About 20% of data were imported from CCSD (Carbbank, University of Georgia, Athens; structures published before 1996) with subsequent manual curation and approval. The current coverage is displayed in red on the top of the left menu. The time lag between the publication of new data and their deposition into CSDB is ca. 1 year.
In the scope of bacterial carbohydrates, CSDB covers nearly all structures of this origin published up to 2016. Prokaryotic, plant and fungal means that a glycan was found in the organism(s) belonging to these taxonomic domains or was obtained by modification of those found in them. Carbohydrate means a structure composed of any residues linked by glycosidic, ester, amidic, ketal, phospho- or sulpho-diester bonds in which at least one residue is a sugar or its derivative.
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The repository is no longer available. <<<!!!<<< CPDB is retired >>>!!!>>>
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The team have established the CardiacAI Data Repository that brings large amounts of Australian healthcare data together in a secure environment with strict conditions for use of these data with an appropriate level of oversight of research activities.
The CardiacAI Data Repository collects de-identified EMR data about cardiovascular patients who are admitted to a group of urban and regional hospitals in NSW and links this with state-wide hospital and emergency deparment visit and mortality data and mobile-health remote monitoring data.
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The CardioVascular Research Grid (CVRG) project is creating an infrastructure for secure seamless access to study data and analysis tools.
CVRG tools are developed using the Software as a Service model, allowing users to access tools through their browser, thus eliminating the need to install and maintain complex software.
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<<<!!!<<< This repository is no longer available. >>>!!!>>>
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<<<!!!<<< This repository is no longer available. >>>!!!>>>
Message since 2018-06: This virtual host is being reconstructed.
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Breeding, molecular, genetics and genomics data on cassava (Manihot esculenta) and wild relatives
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Catena, the Digital Archive of Historic Gardens and Landscapes, is a collection of historic and contemporary images, including plans, engravings, and photographs, intended to support research and teaching in the fields of garden history and landscape studies. Created through the collaborative efforts of landscape historians and institutions, the initial offering of images is focused on the Villas as a Landscape Type.
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The CATH database is a hierarchical domain classification of protein structures in the Protein Data Bank. Protein structures are classified using a combination of automated and manual procedures. There are four major levels in the CATH hierarchy; Class, Architecture, Topology and Homologous superfamily.
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The CCC method yields accurate excitation and ionisation cross sections for atomic and ionic targets which are well-modelled by one or two valence electrons above a Hartree-Fock core. Inner core ionisation can be a major contributor to the total ionisation cross section. Such contributions can be estimated using various forms of Born-based approximations.
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The CDAWeb data system enables improved display and coordinated analysis of multi-instrument, multimission data bases of the kind whose analysis is critical to meeting the science objectives of the ISTP program and the InterAgency Consultative Group (IACG) Solar-Terrestrial Science Initiative. The system combines the client-server user interface technology of the World Wide Web with a powerful set of customized IDL routines to leverage the data format standards (CDF) and guidelines for implementation adopted by ISTP and the IACG. The system can be used with any collection of data granules following the extended set of ISTP/IACG standards. CDAWeb is being used both to support coordinated analysis of public and proprietary data and better functional access to specific public data such as the ISTP-precursor CDAW 9 data base that is formatted to the ISTP/IACG standards.
Many data sets are available through the Coordinated Data Analysis Web (CDAWeb) service and the data coverage continues to grow. These are largely, but not exclusively, magnetospheric data and nearby solar wind data of the ISTP era (1992-present) at time resolutions of approximately a minute. The CDAWeb service provides graphical browsing, data subsetting, screen listings, file creations and downloads (ASCII or CDF).
Public data from current (1992-present) space physics missions (including Cluster, IMAGE, ISTP, FAST, IMP-8, SAMPEX and others). Public data from missions before 1992 (including IMP-8, ISIS1/2, Alouette2, Hawkeye and others). Public data from all current and past space physics missions.
CDAWeb ist part of "Space Physics Data Facility" (https://www.re3data.org/repository/r3d100010168).
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>>> !!!!! The Cell Centered Database is no longer on serice. It has been merged with "Cell image library": https://www.re3data.org/repository/r3d100000023 !!!!! <<<<
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The Cellular Phenotype database stores data derived from high-throughput phenotypic studies and it is being developed as part of the Systems Microscopy Network of Excellence project.
The aim of the Cellular Phenotype database is to provide easy access to phenotypic data and facilitate the integration of independent phenotypic studies.
Through its interface, users can search for a gene of interest, or a collection of genes, and retrieve the loss-of-function phenotypes observed, in human cells, by suppressing the expression of the selected gene(s), through RNA interference (RNAi), across independent phenotypic studies.
Similarly, users can search for a phenotype of interest and retrieve the RNAi reagents that have caused such phenotype and the associated target genes. Information about specific RNAi reagents can also be obtained when searching for a reagent ID.
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The Census of Agriculture provides extensive data about U.S. agriculture at the country, state and county level. The census is conducted every 5 years, and it gathers uniform, detailed data about U.S. farms and ranches and their operators. Data from recent censuses are available in different formats, but historical censuses (back to 1840) are available in pdf format.
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- Empirical Social Research
- Economic and Social Policy
- Epidemiology, Medical Biometry, Medical Informatics
- Public Health, Health Services Research, Social Medicine
- Gerontology and Geriatric Medicine
- Social Sciences
- Social and Behavioural Sciences
- Humanities and Social Sciences
- Economics
- Medicine
- Medicine
- Life Sciences
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The CDHA assists researchers to create, document, and distribute public use microdata on health and aging for secondary analysis. Major research themes include: midlife development and aging; economics of population aging; inequalities in health and aging; international comparative studies of health and aging; and the investigation of linkages between social-demographic and biomedical research in population aging. The CDHA is one of fourteen demography centers on aging sponsored by the National Institute on Aging.
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Strong-motion data of engineering and scientific importance from the United States and other seismically active
countries are served through the Center for Engineering Strong Motion Data(CESMD). The CESMD now automatically posts strong-motion data from an increasing number of seismic stations in California within a few minutes following an earthquake as an InternetQuick Report(IQR). As appropriate,IQRs are updated by more comprehensive Internet Data Reports that include reviewed versions of the data and maps showing, for example, the finite fault rupture along with the distribution of recording stations. Automated processing of strong-motion data will be extended to post the strong-motion records of the regional seismic networks of the Advanced National Seismic System (ANSS) outside California.
- Current projects
- EOSC FAIR-IMPACT
- re3data COREF
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To the extent possible under law,
re3data.org
has waived all copyright and related or neighboring rights to
the database entries of re3data.org.
-
Except where otherwise noted, content on this site is licensed under a
Creative Commons Attribution 4.0 International License
.
- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-05-29
