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Found 15 result(s)
WISER is a self-service platform for data of the Global Networks of Isotopes in Precipitation (GNIP) and Rivers (GNIR), hosted within the IAEA's repository for technical resources (NUCLEUS). GNIP in WISER currently contains over 130,000 records, and stable isotopes are current to the end of 2013, and will be updated as verified data comes in. Parts of the GNIR water isotope data is online as well (synoptic/time series), although we are still in process of verifying and completing GNIR data uploads and for other isotopic parameters over the next year. Check back occasionally for GNIR updates. Tritium data after 2009 is in the process of being updated in the next year. When accessing WISER through the URL https://nucleus.iaea.org/wiser, you will be forwarded to the NUCLEUS log-in page. After entering your user credentials and validation, you will be forwarded to the WISER landing page.
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>>>>!!!<<< NEPTUNE Canada is now part of Ocean Networks Canada and this website is being phased out. Please visit us on our new website at oceannetworks.ca >>>!!!<<< NEPTUNE Canada, the North-East Pacific Time-series Undersea Networked Experiments, is the world's first regional scale cabled deep ocean observing network. It consists of an 800km network of electro‐optic cable laid on the seabed over the northern Juan de Fuca tectonic plate, off the coast of British Columbia. This tectonic plate serves as an exceptional natural laboratory for ocean observation and experiments. NEPTUNE Canada instruments yield continuous real‐time data and imagery from the ocean surface to beneath the seafloor, and from the coast to the deep sea. They respond to events such as earthquakes, tsunamis, fish migrations, plankton blooms, storms and volcanic eruptions. NEPTUNE Canada offers a unique and exciting approach to ocean science.
The International Soil Carbon Network (ISCN) is a science-based network that facilitates data sharing, assembles databases, identifies gaps in data coverage, and enables spatially explicit assessments of soil carbon in context of landscape, climate, land use, and biotic variables. The ISCN Database is an evolving data resource. Because it is too large to present in one file, it is available as a set of documents, reports, and tables; because it changes over time, it is important to note the version date stamped in the upper-left corner of any dataset that you access.
VertNet is a NSF-funded collaborative project that makes biodiversity data free and available on the web. VertNet is a tool designed to help people discover, capture, and publish biodiversity data. It is also the core of a collaboration between hundreds of biocollections that contribute biodiversity data and work together to improve it. VertNet is an engine for training current and future professionals to use and build upon best practices in data quality, curation, research, and data publishing. Yet, VertNet is still the aggregate of all of the information that it mobilizes. To us, VertNet is all of these things and more.
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The Coriolis Data Centre handles operational oceanography measurements made in situ, complementing the measurement of the ocean surface made using instruments aboard satellites. This work is realised through the establishment of permanent networks with data collected by ships or autonomous systems that are either fixed or drifting. This data can be used to construct a snapshot of water mass structure and current intensity.
China Earthquake Data Center provides Seismic data, geomagnetic data, geoelectric data, terrain data and underground fluid change data. It is only open in the Seismological Bureau.
The CZO Multiscale TROPIcal CatchmentS (M-TROPICS) consists in the merging, in 2016, of two previously-existing CZOs: BVET (India and Cameroon) and MSEC (Laos and Vietnam). The CZO Multiscale TROPIcal CatchmentS (M-TROPICS) provides the international scientific community with unique decennial time series of meteorological, hydrological, geochemical, and ecological variables in tropical environments. The CZO M-TROPICS involves academic and governmental partners in tropical countries (Cameroun, India, Lao PDR, and Vietnam) and is included in the Research Infrastructure OZCAR, the French contribution to the international CZO initiative.
BiGG is a knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. BiGG integrates several published genome-scale metabolic networks into one resource with standard nomenclature which allows components to be compared across different organisms. BiGG can be used to browse model content, visualize metabolic pathway maps, and export SBML files of the models for further analysis by external software packages. Users may follow links from BiGG to several external databases to obtain additional information on genes, proteins, reactions, metabolites and citations of interest.
The DIP database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both, manually by expert curators and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Please, check the reference page to find articles describing the DIP database in greater detail. The Database of Ligand-Receptor Partners (DLRP) is a subset of DIP (Database of Interacting Proteins). The DLRP is a database of protein ligand and protein receptor pairs that are known to interact with each other. By interact we mean that the ligand and receptor are members of a ligand-receptor complex and, unless otherwise noted, transduce a signal. In some instances the ligand and/or receptor may form a heterocomplex with other ligands/receptors in order to be functional. We have entered the majority of interactions in DLRP as full DIP entries, with links to references and additional information
EMSC collects real time parametric data (source parmaters and phase pickings) provided by 65 seismological networks of the Euro-Med region. These data are provided to the EMSC either by email or via QWIDS (Quake Watch Information Distribution System, developped by ISTI). The collected data are automatically archived in a database, made available via an autoDRM, and displayed on the web site. The collected data are automatically merged to produce automatic locations which are sent to several seismological institutes in order to perform quick moment tensors determination.
DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry) is an information management system that allows you to discover long-term ecosystem research sites around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR describes a wide range of sites, providing a wealth of information, including each site’s location, ecosystems, facilities, parameters measured and research themes. It is also possible to access a growing number of datasets and data products associated with the sites. All sites and dataset records can be referenced using unique identifiers that are generated by DEIMS-SDR. It is possible to search for sites via keyword, predefined filters or a map search. By including accurate, up to date information in DEIMS, site managers benefit from greater visibility for their LTER site, LTSER platform and datasets, which can help attract funding to support site investments. The aim of DEIMS-SDR is to be the globally most comprehensive catalogue of environmental research and monitoring facilities, featuring foremost but not exclusively information about all LTER sites on the globe and providing that information to science, politics and the public in general.
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SAMD is a repository for Standardized Atmospheric Measurement Data: Central Europe is a region with one of the most comprehensive networks for cloud and precipitation observations worldwide. To unify these observations, establish the infrastructure to store it and make it accessible to the research community is the goal of SAMD. SAMD is one result of the project "High Definition of Clouds and Precipitation in advancing Climate Prediction" (HD(CP)²).