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Found 13 result(s)
GAWSIS is being developed and maintained by the Federal Office of Meteorology and Climatology MeteoSwiss in collaboration with the WMO GAW Secretariat, the GAW World Data Centres and other GAW representatives to improve the management of information about the GAW network of ground-based stations. The application is presently hosted by the Swiss Laboratories for Materials Testing and Research Empa. GAWSIS provides the GAW community and other interested people with an up-to-date, searchable data base of site descriptions, measurements programs and data available, contact people, bibliographic references. Linked data collections are hosted at the World Data Centers of the WMO Global Atmosphere Watch.
Content type(s)
CUGIR is an active online repository in the National Spatial Data Clearinghouse program. CUGIR provides geospatial data and metadata for New York State, with special emphasis on those natural features relevant to agriculture, ecology, natural resources, and human-environment interactions. In order to provide the best possible access to geospatial data for New York State, CUGIR coordinates its activities with those of the New York State GIS Clearinghouse
The Index to Marine and Lacustrine Geological Samples is a tool to help scientists locate and obtain geologic material from sea floor and lakebed cores, grabs, and dredges archived by participating institutions around the world. Data and images related to the samples are prepared and contributed by the institutions for access via the IMLGS and long-term archive at NGDC. Before proposing research on any sample, please contact the curator for sample condition and availability. A consortium of Curators guides the IMLGS, maintained on behalf of the group by NGDC, since 1977.
The datacommons@psu was developed in 2005 to provide a resource for data sharing, discovery, and archiving for the Penn State research and teaching community. Access to information is vital to the research, teaching, and outreach conducted at Penn State. The datacommons@psu serves as a data discovery tool, a data archive for research data created by PSU for projects funded by agencies like the National Science Foundation, as well as a portal to data, applications, and resources throughout the university. The datacommons@psu facilitates interdisciplinary cooperation and collaboration by connecting people and resources and by: Acquiring, storing, documenting, and providing discovery tools for Penn State based research data, final reports, instruments, models and applications. Highlighting existing resources developed or housed by Penn State. Supporting access to project/program partners via collaborative map or web services. Providing metadata development citation information, Digital Object Identifiers (DOIs) and links to related publications and project websites. Members of the Penn State research community and their affiliates can easily share and house their data through the datacommons@psu. The datacommons@psu will also develop metadata for your data and provide information to support your NSF, NIH, or other agency data management plan.
OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources. The OpenTopography Facility is based at the San Diego Supercomputer Center at the University of California, San Diego and is operated in collaboration with colleagues in the School of Earth and Space Exploration at Arizona State University and Earthscope Consortium. Core operational support for OpenTopography comes from the National Science Foundation Earth Sciences.
Earthdata powered by EOSDIS (Earth Observing System Data and Information System) is a key core capability in NASA’s Earth Science Data Systems Program. It provides end-to-end capabilities for managing NASA’s Earth science data from various sources – satellites, aircraft, field measurements, and various other programs. EOSDIS uses the metadata and service discovery tool Earthdata Search https://search.earthdata.nasa.gov/search. The capabilities of EOSDIS constituting the EOSDIS Science Operations are managed by NASA's Earth Science Data and Information System (ESDIS) Project. The capabilities include: generation of higher level (Level 1-4) science data products for several satellite missions; archiving and distribution of data products from Earth observation satellite missions, as well as aircraft and field measurement campaigns. The EOSDIS science operations are performed within a distributed system of many interconnected nodes - Science Investigator-led Processing Systems (SIPS), and distributed, discipline-specific, Earth science Distributed Active Archive Centers (DAACs) with specific responsibilities for production, archiving, and distribution of Earth science data products. The DAACs serve a large and diverse user community by providing capabilities to search and access science data products and specialized services.
Country
The Flanders Marine Institute (VLIZ) is a centre for marine and coastal research. As a partner in various projects and networks it promotes and supports the international image of Flemish marine scientific research and international marine education. In its capacity as a coordination and information platform, the Flanders Marine Institute (VLIZ) supports some thousand marine scientists in Flanders by disseminating their knowledge to policymakers, educators, the general public and scientists.
Country
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.
Country
DISS is a georeferenced repository of tectonic, fault, and paleoseismological information expressly devoted, but not limited, to potential applications in the assessment of seismic hazard at regional and national scale.
The Marine Geoscience Data System (MGDS) is a trusted data repository that provides free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor. Developed and operated by domain scientists and technical specialists with deep knowledge about the creation, analysis and scientific interpretation of marine geoscience data, the system makes available a digital library of data files described by a rich curated metadata catalog. MGDS provides tools and services for the discovery and download of data collected throughout the global oceans. Primary data types are geophysical field data including active source seismic data, potential field, bathymetry, sidescan sonar, near-bottom imagery, other seafloor senor data as well as a diverse array of processed data and interpreted data products (e.g. seismic interpretations, microseismicity catalogs, geologic maps and interpretations, photomosaics and visualizations). Our data resources support scientists working broadly on solid earth science problems ranging from mid-ocean ridge, subduction zone and hotspot processes, to geohazards, continental margin evolution, sediment transport at glaciated and unglaciated margins.
Alaska Ocean Observing System (AOOS) provides ocean and coastal observations data. The AOOS is governed by the Integrated Ocean Observing System (IOOS) which is a partnership among federal, regional, academic and private sector groups. The Ocean Data Explorer contains scientific and management information including real-time sensor feeds, operational oceanographic and atmospheric models, satellite observations and GIS data sets that describe the biological, chemical and physical characteristics of Alaska and its surrounding waters. This map offers many new updated features that build upon the existing data system.