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EarthWorks is a discovery tool for geospatial (a.k.a. GIS) data. It allows users to search and browse the GIS collections owned by Stanford University Libraries, as well as data collections from many other institutions. Data can be searched spatially, by manipulating a map; by keyword search; by selecting search limiting facets (e.g., limit to a given format type); or by combining these options.
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<<<!!!<<< This repository is no longer available. >>>!!!>>> This page is not longer active, please use www.marine-data.de instead. Our data portal data.awi.de offers an integrative one-stop shop framework for discovering AWI research platforms including devices and sensors, tracklines, field reports, peer-reviewed publications, GIS products and mostly important data and data products archived in PANGAEA.
The main objective of the project is to digitize the data collected by the Maritime Administration and make it available for reuse by digitizing analog resources, integrating and harmonizing data and building a digital repository, and disseminating information about the resources collected in the system. The aim of the project is to make maritime administration data sets available on the Internet.
Queen's University Dataverse is the institutional open access research data repository for Queen's University, featuring Queen's University Biological Station (QUBS) which includes research related to ecology, evolution, resource management and conservation, GIS, climate data, and environmental science.
The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC. Aside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature.