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Found 23 result(s)
The Infrared Space Observatory (ISO) is designed to provide detailed infrared properties of selected Galactic and extragalactic sources. The sensitivity of the telescopic system is about one thousand times superior to that of the Infrared Astronomical Satellite (IRAS), since the ISO telescope enables integration of infrared flux from a source for several hours. Density waves in the interstellar medium, its role in star formation, the giant planets, asteroids, and comets of the solar system are among the objects of investigation. ISO was operated as an observatory with the majority of its observing time being distributed to the general astronomical community. One of the consequences of this is that the data set is not homogeneous, as would be expected from a survey. The observational data underwent sophisticated data processing, including validation and accuracy analysis. In total, the ISO Data Archive contains about 30,000 standard observations, 120,000 parallel, serendipity and calibration observations and 17,000 engineering measurements. In addition to the observational data products, the archive also contains satellite data, documentation, data of historic aspects and externally derived products, for a total of more than 400 GBytes stored on magnetic disks. The ISO Data Archive is constantly being improved both in contents and functionality throughout the Active Archive Phase, ending in December 2006.
SOHO, the Solar & Heliospheric Observatory, is a project of international collaboration between ESA and NASA to study the Sun from its deep core to the outer corona and the solar wind. SOHO was launched on December 2, 1995. The SOHO spacecraft was built in Europe by an industry team led by prime contractor Matra Marconi Space (now EADS Astrium) under overall management by ESA. The twelve instruments on board SOHO were provided by European and American scientists.
The Entrez Protein Clusters database contains annotation information, publications, structures and analysis tools for related protein sequences encoded by complete genomes. The data available in the Protein Clusters Database is generated from prokaryotic genomic studies and is intended to assist researchers studying micro-organism evolution as well as other biological sciences. Available genomes include plants and viruses as well as organelles and microbial genomes.
Country
iDog, an integrated resource for domestic dog (Canis lupus familiaris) and wild canids, provides the worldwide dog research community a variety of data services. This includes Genes, Genomes, SNPs, Breed/Disease Traits, Gene Expressions, Single Cell, Dog-Human Homolog Diseases and Literatures. In addition, iDog provides Online tools for performing genomic data visualization and analyses.
mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions. Protein interaction databases archive protein-protein interaction (PPI) information from published articles. However, no database alone has sufficient literature coverage to offer a complete resource to investigate "the interactome". mentha's approach generates every week a consistent interactome (graph). Most importantly, the procedure assigns to each interaction a reliability score that takes into account all the supporting evidence. mentha offers eight interactomes (Homo sapiens, Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster, Escherichia coli K12, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae) plus a global network that comprises every organism, including those not mentioned. The website and the graphical application are designed to make the data stored in mentha accessible and analysable to all users. Source databases are: MINT, IntAct, DIP, MatrixDB and BioGRID.
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SILVA is a comprehensive, quality-controlled web resource for up-to-date aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains alongside supplementary online services. In addition to data products, SILVA provides various online tools such as alignment and classification, phylogenetic tree calculation and viewer, probe/primer matching, and an amplicon analysis pipeline. With every full release a curated guide tree is provided that contains the latest taxonomy and nomenclature based on multiple references. SILVA is an ELIXIR Core Data Resource.
The JPL Tropical Cyclone Information System (TCIS) was developed to support hurricane research. There are three components to TCIS; a global archive of multi-satellite hurricane observations 1999-2010 (Tropical Cyclone Data Archive), North Atlantic Hurricane Watch and ASA Convective Processes Experiment (CPEX) aircraft campaign. Together, data and visualizations from the real time system and data archive can be used to study hurricane process, validate and improve models, and assist in developing new algorithms and data assimilation techniques.
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).
The Neuroscience Information Framework is a dynamic index of data, materials, and tools. Please note, we do not accept direct data deposits, but if you wish to make your data repository or database available through our search, please contact us. An initiative of the NIH Blueprint for Neuroscience Research, NIF advances neuroscience research by enabling discovery and access to public research data and tools worldwide through an open source, networked environment.
Country
"TaiBIF" stands for Taiwan Biodiversity Information Facility. It is the Taiwan portal of GBIF, and is in charge of integrating Taiwan's biodiversity information, including lists of species and local experts, illustrations of species, introduction of endemic species and invasive species, Taiwan's terrestrial and marine organisms, biodiversity literature, geographical and environmental information, information about relevant institutions, organizations, projects, and observation spots, the Catalog of Life (a list of Taiwanese endemic species), and publications.
<<<!!!<<<Noticed 26.08.2020: The NCI CBIIT instance of the CGAP no longer exist on this website. The Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer has a new home at the NCI-funded Institute for Systems Biology Cancer Genomics Cloud available at the following location: https://mitelmandatabase.isb-cgc.org>>>!!!>>>
The CPTAC Data Portal is the centralized repository for the dissemination of proteomic data collected by the Proteome Characterization Centers (PCCs) for the CPTAC program. The portal also hosts analyses of the mass spectrometry data (mapping of spectra to peptide sequences and protein identification) from the PCCs and from a CPTAC-sponsored common data analysis pipeline (CDAP).
Using a combination of remote sensing data and ground observations as inputs, CHC scientists have developed rainfall estimation techniques and other resources to support drought monitoring and predict crop performance in parts of the world vulnerable to crop failure. Policymakers within governments and non-governmental organizations rely on CHC decision-support products to make critical resource allocation decisions. The CHC's scientific focus is "geospatial hydroclimatology," with an emphasis on the early detection and forecasting of hydroclimatic hazards related to food-security droughts and floods. Basic research seeks an improved understanding of the climatic processes that govern drought and flood hazards in FEWS NET countries (https://fews.net/). The CHC develops better techniques, algorithms, and modeling applications in order to use remote sensing and other geospatial data for hazards early warning.
The Behavioral Risk Factor Surveillance System (BRFSS) is the world's largest, on-going telephone health survey system. As a result, surveys were developed and conducted to monitor state-level prevalence of the major behavioral risks among adults associated with premature morbidity and mortality. The basic philosophy was to collect data on actual behaviors, rather than on attitudes or knowledge, that would be especially useful for planning, initiating, supporting, and evaluating health promotion and disease prevention programs. Currently data are collected monthly in all 50 states.
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The International Network of Nuclear Reaction Data Centres (NRDC) constitutes a worldwide cooperation of nuclear data centres under the auspices of the International Atomic Energy Agency. The Network was established to coordinate the world-wide collection, compilation and dissemination of nuclear reaction data.
The GRSF, the Global Record of Stocks and Fisheries, integrates data from three authoritative sources: FIRMS (Fisheries and Resources Monitoring System), RAM (RAM Legacy Stock Assessment Database) and FishSource (Program of the Sustainable Fisheries Partnership). The GRSF content publicly disseminated through this catalogue is distributed as a beta version to test the logic to generate unique identifiers for stocks and fisheries. The access to and review of collated stock and fishery data is restricted to selected users. This beta release can contain errors and we welcome feedback on content and software performance, as well as the overall usability. Beta users are advised that information on this site is provided on an "as is" and "as available" basis. The accuracy, completeness or authenticity of the information on the GRSF catalogue is not guaranteed. It is reserved the right to alter, limit or discontinue any part of this service at its discretion. Under no circumstances shall the GRSF be liable for any loss, damage, liability or expense suffered that is claimed to result from the use of information posted on this site, including without limitation, any fault, error, omission, interruption or delay. The GRSF is an active database, updates and additions will continue after the beta release. For further information, or for using the GRSF unique identifiers as a beta tester please contact FIRMS-Secretariat@fao.org.
The Gateway to Global Aging Data is a platform for population survey data on aging around the world. This site offers a digital library of survey questions, a search engine for finding comparable questions across surveys, and identically defined variables for cross-country analysis. The Survey Meta Data Repository provides Health and Retirement Study metadata of family surveys. Survey Meta Data Repository primarily provides access to survey metadata so researchers can compare survey formats, types and identically defined variables. Additional resources include tools for cross-country analysis, general statistics by country and year, survey question library, and tools for comparing questions across the surveys. Datasets are in Stata format; users must register and request datasets.
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The mission of the platform is to enable access for academic projects towards experiments in high-throughput without loss of IP and on a cost basis, which does not restrict access towards HTS usage. The FMP hosts the central open access technology platform of EU-OPENSCREEN, the ChemBioNet and theHelmholtz-Initiative für Wirkstoffforschung, the Screening Unit. The Unit serves for systematic screening of large compound or genome-wide RNAi libraries with state-of-the-art equipment like automated microscopes and microfluidic systems. The Screening Unit is part of the Chemical Biology Platform of the FMP also supported by the MDC. See also: https://www.mdc-berlin.de/screening-unit