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Found 12 result(s)
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depositar — taking the term from the Portuguese/Spanish verb for to deposit — is an online repository for research data. The site is built by the researchers for the researchers. You are free to deposit, discover, and reuse datasets on depositar for all your research purposes.
Country
prometheus is a digital image archive for Art and Cultural Sciences. prometheus enables the convenient search for images on a common user interface within different image archives, variable databases from institutes, research facilities and museums.
NWS/NCEP/Climate Prediction Center delivers climate prediction, monitoring, and diagnostic products for timescales from weeks to years to the Nation and the global community for the protection of life and property and the enhancement of the economy. The goal of the CPC website is to provide easy and comprehensive access to data and products that serve our mission. We serve a broad audience ranging from government to non-government entities like academia, NGO’s, and the public and private sectors. Specific sectors include agriculture, energy, health, transportation, emergency managers, etc.
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Contains data on patients who have been tested for COVID-19 (whether positive or negative) in participating health institutions in Brazil. This initiative makes available three kinds of pseudonymized data: demographics (gender, year of birth, and region of residency), clinical and laboratory exams. Additional hospitalization information - such as data on transfers and outcomes - is provided when available. Clinical, lab, and hospitalization information is not limited to COVID-19 data, but covers all health events for these individuals, starting November 1st 2019, to allow for comorbidity studies. Data are deposited periodically, so that health information for a given individual is continuously updated to time of new version upload.
This web site is provided by the United States Geological Survey’s (USGS) Earthquake Hazards Program as part of our effort to reduce earthquake hazard in the United States. We are part of the USGS Hazards Mission Area and are the USGS component of the congressionally established, multi-agency National Earthquake Hazards Reduction Program (NEHRP).
Including data and software from CrystalEye is this a open-access collection of crystal structures of organic, inorganic, metal-organic compounds and minerals, excluding biopolymers. At present, this is the most comprehensive open resource for small molecule structures, freely available to all scientists in Lithuania and worldwide. Including data and software from CrystalEye, developed by Nick Day at the department of Chemistry, the University of Cambridge under supervision of Peter Murray-Rust.
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Historical Climate Data (formerly: The National Climate Data and Information Archive - NCDC) is a web-based resource maintained by Environment and Climate Change Canada and the Meteorological Service of Canada. The site houses a number of statistical and data compilation and viewing tools. From the website, users can access historical climate data for Canadian locations and dates, view climate normals and averages, and climate summaries. A list of Canadian air stations and their meteorological reports and activities is also available, along with rainfall statistics for more than 500 locations across Canada. Users can also download the Canadian daily climate data for 2006/07. In addition, technical documentation is offered for data users to interpret the available data. Other documentation includes a catalogue of Canadian weather reporting stations, a glossary, and a calculation of the 1971 to 2000 climate normals for Canada. This resource carries authority and accuracy because it is maintained by a national government department and service. While the majority of the statistics are historical, the data is up-to-date and contains current and fairly recent climate data. This government resource is intended for an audience that has the ability and knowledge to interpret climatological data
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LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been much enlarged. LIAS light is storing phenotypic trait data. They includes > 10,700 descriptions (about 2/3 of all known lichen species), each with up to 75 descriptors comprising 2,000 traits (descriptor states and values), including 800 secondary metabolites. 500 traits may have biological functions and more than 1,000 may have phylogenetic relevance. LIAS is thus one of the most comprehensive trait databases in organismal biology. The online interactive identification key for more than 10,700 lichens is powered by the Java applet NaviKey and has been translated into 19 languages (besides English) in cooperation with lichenologists worldwide. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications with currently >50,000 names, including the c. 12,000 accepted species and recognized synonyms. The LIAS portal contents, interfaces, and databases run on servers of the IT Center of the Bavarian Natural History Collections and are maintained there. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication. The LIAS long-term project was initiated in the early 1990s and has since been continued with funding from the DFG, the BMBF, and the EU.
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SMHI's observation stations collect large quantities of data, including temperature, precipitation, wind, air pressure, lightning, solar radiation and ozone. Satellites and radar installations are also important sources. Data is presented continuously on smhi.se and used in SMHI's various weather services. In the Explorer SMHI’s data ( http://opendata-catalog.smhi.se/explore/ ) you find data available with open access (in Swedish). Information in English on Oceanographic observations, Model data (HIROMB BS01), Machine to machine – feeds, and Conditions of use.
<<<!!!<<< This repository is no longer available. >>>!!!>>> BioVeL is a virtual e-laboratory that supports research on biodiversity issues using large amounts of data from cross-disciplinary sources. BioVeL supports the development and use of workflows to process data. It offers the possibility to either use already made workflows or create own. BioVeL workflows are stored in MyExperiment - Biovel Group http://www.myexperiment.org/groups/643/content. They are underpinned by a range of analytical and data processing functions (generally provided as Web Services or R scripts) to support common biodiversity analysis tasks. You can find the Web Services catalogued in the BiodiversityCatalogue.