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Found 15 result(s)
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This platform aims to realize data storage, data management, data analysis, data sharing and data citation traceability of various data sets in the field of Humanities and Social Sciences of East China Normal University.
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The National Earth System Science Data Sharing Service Platform is one of the 23 national science and technology infrastructure platforms identified by the Ministry of Science and Technology and the Ministry of Finance as the first batch of platforms. The platform is led by the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Since its construction in 2003, more than 40 domestic and overseas units have participated in the platform construction. National Earth System Science Data Sharing Service Platform main development course: The overall goal of the platform is to integrate and integrate the data resources generated by data center groups, universities, research institutes and scientists in China and abroad, to import international data resources and to receive the data resources generated by major national scientific research projects. Based on this, Processing data products. We will improve standards and operational mechanisms and provide data support for Earth system science research and sustainable socio-economic development through the Earth System Scientific Data Sharing Network Platform and professional service teams. The recent consolidation of data resources required to share the research on land surface systems and human-land relations.
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.
The International Ocean Discovery Program’s (IODP) Gulf Coast Repository (GCR) is located in the Research Park on the Texas A&M University campus in College Station, Texas. This repository stores DSDP, ODP, and IODP cores from the Pacific Ocean, the Caribbean Sea and Gulf of Mexico, and the Southern Ocean. A satellite repository at Rutgers University houses New Jersey/Delaware land cores 150X and 174AX.
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.
The USGS Alaska Region has the largest geographic extent of the seven regional units within the USGS and represents a dynamic landscape of great natural wonder. It is a transforming landscape shaped by volcanoes, earthquakes, major rivers, and glaciers and a strategic landscape of yet untapped mineral and energy resources. The Region conducts research to help inform management of the extensive national parks and wildlife refuges of the far north and the international birds, fish, and marine mammals that migrate to these lands and waters; informs national Arctic energy policy through research on the National Petroleum Reserve-Alaska and the U.S. Outer Continental Shelf; and provides science to understand, help respond to and mitigate impacts from natural hazards. This work is accomplished in part by the Region's two Science Centers headquartered in Anchorage, the Alaska Science Center and the Volcano Science Center.
The NCAR Climate Data Gateway provides data discovery and access services for global and regional climate model data, knowledge, and software. The NCAR Climate Data Gateway supports community access to data products from many of NCAR's community modeling efforts, including the IPCC, PCM, AMPS, CESM, NARCCAP, and NMME activities. Data products are generally open and available, however, download access may require a login.
Discovery is the digital repository of research, and related activities, undertaken at the University of Dundee. The content held in Discovery is varied and ranges from traditional research outputs such as peer-reviewed articles and conference papers, books, chapters and post-graduate research theses and data to records for artefacts, exhibitions, multimedia and software. Where possible Discovery provides full-text access to a version of the research. Discovery is the data catalogue for datasets resulting from research undertaken at the University of Dundee and in some instances the publisher of research data.
Data Center of Geography was created in 2011 in the framework of the interdisciplinary structure – world data systems – to ensure gathering, processing and conversion of data and to solve fundamental and applied problems in the sphere of geographical sciences.
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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.
The purpose of the Dataset Catalogue is to enhance discovery of GNS Science datasets. At a minimum, users will be able to determine whether a dataset on a specific topic exists and then whether it pertains to a specific place and/or a specific date or period. Some datasets include a web link to an online resource. In addition, contact details are provided for the custodian of each dataset as well as conditions of use.
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Applying the Terrestrial Systems Modeling Platform, TerrSysMP, this dataset consists of the first simulated long-term (1989-2018), high-resolution (~12.5km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of atmosphere (G2A). This data set constitutes a near-natural realization of the European terrestrial system, which cannot be obtained from observations, and can, thus, serve as a reference for global change simulations including human water use and climate change.