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ICD serves as the international standard for diagnostic classification for all general epidemiological, many health management purposes and clinical use. The ICD's resources include the analysis of different population groups' general health situations, monitoring of the incidence and prevalence of diseases in relation to the characteristics of the individuals affected, reimbursement, resource allocation, quality, and guidelines. The records provide the basis for the compilation of national mortality and morbidity statistics, and enable the storage and retrieval of diagnostic information for clinical epidemiological and quality purposes.
The National Earth Observation Science Data Center, whose predecessor was the National Integrated Earth Observation Data Sharing Platform, has formed a sustainable, cross-agency, one-stop data sharing service capability after years of construction, and it is also the main channel for international exchange of remote sensing data in China. In the future, it will manage and coordinate scientific data resources in the field of earth observation on behalf of the country, and build a national-level earth observation big data infrastructure. Coordinate various industry data centers, scientific research institutions and enterprises in the field of Earth observation in China to cooperate in building a national strategic, fundamental, scientific, internationalized, and independent and controllable scientific big data environment in the field of Earth observation. On the basis of the already formed data ecology and cooperation mechanism, data sharing services, and international data cooperation, we will actively expand to the whole life cycle management of data and carry out data management work such as the collection, management, analysis and mining, and sharing services of national scientific data resources for Earth observation. Form a unified technical support system and data sharing service environment for Earth observation data in China. Maintain and enhance its international influence and become a domestic and international first-class scientific data center for Earth observation!
<<<!!!<<< The repository is offline >>>!!!>>> A collection of open content name datasets for Information Centric Networking. The "Content Name Collection" (CNC) lists and hosts open datasets of content names. These datasets are either derived from URL link databases or web traces. The names are typically used for research on Information Centric Networking (ICN), for example to measure cache hit/miss ratios in simulations.
GRID-Geneva is a unique platform providing analyses and solutions for a wide range of environmental issues. GRID-Geneva serves primarily the needs of its three institutional partners - UNEP, the Swiss Federal Office for the Environment (FOEN) and the University of Geneva (UniGe) - which are linked by an ongoing, multi-year “Partnership Agreement”, along with other local-to-global stakeholders. GRID-Geneva is also a bilingual English and French centre and the key francophone link within the global GRID network of centres. GRID-Geneva is a key centre of geo-spatial know-how, with strengths in GIS, IP/remote sensing and statistical analyses, integrated through modern spatial data infrastructures and web applications. Working at the interface between scientific information and policy/decision-making, GRID-Geneva also helps to develop capacities in these fields of expertise among target audiences, countries and other groups.
mzCloud is an extensively curated database of high-resolution tandem mass spectra that are arranged into spectral trees. MS/MS and multi-stage MSn spectra were acquired at various collision energies, precursor m/z, and isolation widths using Collision-induced dissociation (CID) and Higher-energy collisional dissociation (HCD). Each raw mass spectrum was filtered and recalibrated giving rise to additional filtered and recalibrated spectral trees that are fully searchable. Besides the experimental and processed data, each database record contains the compound name with synonyms, the chemical structure, computationally and manually annotated fragments (peaks), identified adducts and multiply charged ions, molecular formulas, predicted precursor structures, detailed experimental information, peak accuracies, mass resolution, InChi, InChiKey, and other identifiers. mzCloud is a fully searchable library that allows spectra searches, tree searches, structure and substructure searches, monoisotopic mass searches, peak (m/z) searches, precursor searches, and name searches. mzCloud is free and available for public use online.
The COVID-19 pandemic has affected every country in the world. It is well documented that those most susceptible to the worst outcomes of COVID-19 are the immunocompromised and those with underlying comorbidities. Therefore, patients requiring treatment for COVID-19 will also be on additional medication, posing a risk for drug-drug interactions (DDIs). In order to address this, the Liverpool Drug Interactions website team developed this freely available drug interactions resource to provide information on the likelihood of interactions between the experimental agents used for the treatment of COVID-19 and commonly prescribed co-medications.
The Comparative Political Data Set 1960-2018 (CPDS) is a collection of political and institutional data which have been assembled in the context of the research projects “Die Handlungsspielräume des Nationalstaates” and “Critical junctures. An international comparison” directed by Klaus Armingeon and funded by the Swiss National Science Foundation. This data set consists of (mostly) annual data for 36 democratic OECD and/or EU-member coun-tries for the period of 1960 to 2018. In all countries, political data were collected only for the democratic periods. The data set is suited for cross-national, longitudinal and pooled time-series analyses.