RU-IIEc

Links

• Open website ru.iiec.unam.mx

Tags

1. 
   DataRich

   DataRich is the data and information website for Richmond upon Thames, open to everyone. It provides statistics and analysis for the borough under themes including population, economy and employment, health and social care, transport and travel, crime, community wellbeing, housing and environment. It contains 2011 Census data and a profile of key facts, drawing on sources such as the Office for National Statistics, NOMIS, DCLG and Neighbourhood Statistics.

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   CCHDO

   CCHDO, the CLIVAR and Carbon Hydrographic Data Office, supports oceanographic research by providing access to global, vessel-based CTD and hydrographic data from GO-SHIP, WOCE, CLIVAR and other repeat hydrography programs. Data are openly accessible in standardized community formats, and search options include cruise, map and profile searches.

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   CESM Experiments

   CESM Experiments is a page from the Community Earth System Model project that lists climate model experiments and their resulting output data across CCSM and CESM release versions. It organizes materials by model version, including CESM2, CESM1.3 HR, CESM1.2, CCSM4.0 and earlier CCSM runs; some data is noted as available on the Earth System Grid with registration required.

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   Datenkatalog Kanton Luzern

   Browse government and civic datasets for Canton Lucerne, Switzerland.

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   Polar Geospatial Center

   The Polar Geospatial Center at the University of Minnesota provides geospatial support, mapping, and GIS and remote sensing solutions to researchers and logistics groups in the polar science community. It maintains a library of commercial satellite imagery, elevation models, and a historical and contemporary map catalog, and offers browser-based tools for accessing polar data.

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   Maelstrom Catalogue

   The Maelstrom Catalogue is a data discovery tool holding information about epidemiological research networks, studies, the data they collected, and harmonized data from those networks. Its search tools let users learn about networks, identify studies with targeted designs, search variables within and across studies, and find information on harmonization potential and harmonized variables.

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