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Found 16 result(s)
The objective of this Research Coordination Network project is to develop an international network of researchers who use genetic methodologies to study the ecology and evolution of marine organisms in the Indo-Pacific to share data, ideas and methods. DIPnet was created to advance genetic diversity research in the Indo-Pacific by aggregating population genetic metadata into a searchable database (GeOME).
The SAEON Data Portal provides meta-data-driven search and discovery facilities, and also serves as a repository for data contributed by stakeholders and providers.
The AOML Environmental Data Server (ENVIDS) provides interactive, on-line access to various oceanographic and atmospheric datasets residing at AOML. The in-house datasets include Atlantic Expendable Bathythermograph (XBT), Global Lagrangian Drifting Buoy, Hurricane Flight Level, and Atlantic Hurricane Tracks (North Atlantic Best Track and Synoptic). Other available datasets include Pacific Conductivitiy/Temperature/Depth Recorder (CTD) and World Ocean Atlas 1998.
OBIS strives to document the ocean's diversity, distribution and abundance of life. Created by the Census of Marine Life, OBIS is now part of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, under its International Oceanographic Data and Information Exchange (IODE) programme
Country
The CliSAP-Integrated Climate Data Center (ICDC) allows easy access to climate relevant data from in-situ measurements and satellite remote sensing. These data are important to determine the status and the changes in the climate system. Additionally some relevant re-analysis data are included, which are modeled on the basis of observational data.
The KNMI Data Centre (KDC) provides access to weather, climate and seismological datasets of KNMI. For each dataset descriptive information is available (metadata), including a point of contact. The KNMI Data Centre (KDC) provides access to KNMI data on weather, climate and seismology. You will find KNMI data on various topics such as: the most recent 10 minutes of observations, historical data, data on meteorological stations, modeling, earthquake data and satellite products.
The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) is a new data archive for Earth and environmental science data. ESS-DIVE is funded by the Data Management program within the Climate and Environmental Science Division under the DOE’s Office of Biological and Environmental Research program (BER), and is maintained by the Lawrence Berkeley National Laboratory. ESS-DIVE will archive and publicly share data obtained from observational, experimental, and modeling research that is funded by the DOE’s Office of Science under its Subsurface Biogeochemical Research (SBR) and Terrestrial Ecosystem Science (TES) programs within the Environmental Systems Science (ESS) activity. ESS-DIVE will include CDIAC that closed September 30, 2017. >>>!!!<<< March 2018: Some of the CDIAC data has not yet been transferred to ESS-DIVE. Click here http://cdiac.ess-dive.lbl.gov/ to check the CDIAC transition website. >>>!!!<<< The new archive for the CDIAC data will be ESS-DIVE except in the specific cases mentioned below: The Oceanic Trace Gas data have been transitioned to the new Ocean Carbon Data System (OCADS) operated by NOAA’s National Centers for Environmental Information (NCEI) at https://www.nodc.noaa.gov/ocads/. The Total Carbon Column Observing Network (TCCON) data have been transitioned to Caltech (http://tccondata.org/). HIAPER Pole-to-Pole Observations (HIPPO) data are transitioning to the NCAR Earth Observing Laboratory (https://www.eol.ucar.edu/data-software). - ESS-DIVE launched in July 2017, and is currently in the process of implementing a new archive designed to provide long-term stewardship and use of data from observational, experimental and modeling activities in the DOE in the Subsurface Biogeochemical Research (SBR) and Terrestrial Ecosystem Science (TES) Programs in the Environmental System Science (ESS) activity.
Using a combination of remote sensing data and ground observations as inputs, CHG scientists have developed rainfall and other models that reliably predict crop performance in parts of the world vulnerable to crop failure. Policy makers within governments and at non-governmental organizations rely on CHG decision-support products for making critical resource allocation decisions. The CHG's scientific focus is "geospatial hydroclimatology", with an emphasis on the early detection and forecasting of hydroclimatic hazards related to food security droughts and floods. Basic research seeks an improved understanding of the climatic processes that govern drought and flood hazards in FEWS.NET countries. We develop better techniques, algorithms, and modeling applications to use remote sensing and other geospatial data for hazard early warning.
Country
B2SHARE allows publishing research data and belonging metadata. It supports different research communities with specific metadata schemas. This server is provided for researchers of the Research Centre Juelich and related communities.
NSIDC offers hundreds of scientific data sets for research, focusing on the cryosphere and its interactions. Data are from satellites and field observations. All data are free of charge.
Country
The Climate Change Centre Austria - Data Centre provides the central national archive for climate data and information. The data made accessible includes observation and measurement data, scenario data, quantitative and qualitative data, as well as the measurement data and findings of research projects.
The Deep Carbon Observatory (DCO) is a global community of multi-disciplinary scientists unlocking the inner secrets of Earth through investigations into life, energy, and the fundamentally unique chemistry of carbon. Deep Carbon Observatory Digital Object Registry (“DCO-VIVO”) is a centrally-managed digital object identification, object registration and metadata management service for the DCO. Digital object registration includes DCO-ID generation based on the global Handle System infrastructure and metadata collection using VIVO. Users will be able to deposit their data into the DCO Data Repository and have that data discoverable and accessible by others.
The Arctic Data Center is the primary data and software repository for the Arctic section of NSF Polar Programs. The Center helps the research community to reproducibly preserve and discover all products of NSF-funded research in the Arctic, including data, metadata, software, documents, and provenance that links these together. The repository is open to contributions from NSF Arctic investigators, and data are released under an open license (CC-BY, CC0, depending on the choice of the contributor). All science, engineering, and education research supported by the NSF Arctic research program are included, such as Natural Sciences (Geoscience, Earth Science, Oceanography, Ecology, Atmospheric Science, Biology, etc.) and Social Sciences (Archeology, Anthropology, Social Science, etc.). Key to the initiative is the partnership between NCEAS at UC Santa Barbara, DataONE, and NOAA’s NCEI, each of which bring critical capabilities to the Center. Infrastructure from the successful NSF-sponsored DataONE federation of data repositories enables data replication to NCEI, providing both offsite and institutional diversity that are critical to long term preservation.