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Found 83 result(s)
The MGDS Academic Seismic Portal at Lamont-Doherty Earth Observatory (ASP-LDEO), now part of the IEDA Data Facility, was initiated in 2003 to preserve and provide open access to multi-channel seismic (MCS) and single channel seismic (SCS) field data collected for academic research supported by the US National Science Foundation. Multi-channel data are primarily from the marine seismic vessels operated by Lamont-Doherty Earth Observatory of Columbia University. Modern single channel seismic data from other vessels including the R/V Palmer and USCG Healy, as well as data from portable seismic systems, are also served. The development of the Academic Seismic Portal has focused on the need to recover high value MCS data from older surveys as well as to establish sustainable procedures for preservation of data from modern programs. During the final two years of R/V Ewing operations, procedures were established for routine transfer of MCS data along with navigation and acquisition parameters, and other needed documentation to the ASP. Transfer of seismic data and acquisition information is now routine for the National Marine Seismic Facility, the R/V Marcus G. Langseth, which began science operations in February 2008. Data are documented and incorporated into the data system with full access restrictions protecting the scientists' rights to exclusive access during the proprietary hold period. Submission of data to the ASP helps ensure that NSF requirements for data sharing as outlined in the NSF OCE Data Policy are satisfied. Data from the Academic Seismic Portal at UTIG has been migrated to LDEO. As we continue to verify the accuracy and completeness of this data, there may be temporary issues with some seismic metadata and web services.
>>>!!!<<< On June 1, 2020, the Academic Seismic Portal repositories at UTIG were merged into a single collection hosted at Lamont-Doherty Earth Observatory. Content here was removed July 1, 2020. Visit the Academic Seismic Portal @LDEO! https://www.marine-geo.org/collections/#!/collection/Seismic#summary (https://www.re3data.org/repository/r3d100010644) >>>!!!<<<
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The arctic data archive system (ADS) collects observation data and modeling products obtained by various Japanese research projects and gives researchers to access the results. By centrally managing a wide variety of Arctic observation data, we promote the use of data across multiple disciplines. Researchers use these integrated databases to clarify the mechanisms of environmental change in the atmosphere, ocean, land-surface and cryosphere. That ADS will be provide an opportunity of collaboration between modelers and field scientists, can be expected.
The Antarctic and Southern Ocean Data Portal, part of the US Antarctic Data Consortium, provides access to geoscience data, primarily marine, from the Antarctic region. The synthesis began in 2003 as the Antarctic Multibeam Bathymetry and Geophysical Data Synthesis (AMBS) with a focus on multibeam bathymetry field data and other geophysical data from the Southern Ocean collected with the R/V N. B. Palmer. In 2005, the effort was expanded to include all routine underway geophysical and oceanographic data collected with both the R/V N. B. Palmer and R/V L. Gould, the two primary research vessels serving the US Antarctic Program.
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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.
Antarctic marine and terrestrial biodiversity data is widely scattered, patchy and often not readily accessible. In many cases the data is in danger of being irretrievably lost. Biodiversity.aq establishes and supports a distributed system of interoperable databases, giving easy access through a single internet portal to a set of resources relevant to research, conservation and management pertaining to Antarctic biodiversity. biodiversity.aq provides access to both marine and terrestrial Antarctic biodiversity data.
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The Canadian Integrated Ocean Observing System (CIOOS) Data Catalogue is an online open-access data catalogue designed for sharing reliable and high-quality. CIOOS is a collaboration between institutional, governmental, and non-governmental partners located in the Pacific, the St. Lawrence, and the Atlantic. These Regional Associations (RAs) work closely with local organizations to meet end-user needs and develop place-based solutions for a diverse country.
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CanWIN is the data centre for the Centre for Earth Observation Science (CEOS). We support research and education, and inform management, policy and evidence based decision-making from the Nelson River Watershed to the Arctic.
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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.
Chapman University Digital Commons is an open access digital repository and publication platform designed to collect, store, index, and provide access to the scholarly and creative output of Chapman University faculty, students, staff, and affiliates. In it are faculty research papers and books, data sets, outstanding student work, audiovisual materials, images, special collections, and more, all created by members of or owned by Chapman University. The datasets are listed in a separate collection.
CAPE began as a collection of UK local governments' Climate Action Plans, and has expanded to include a number of useful datapoints around climate, carbon emissions and local government. The Climate Action Plan Explorer collects UK Council Climate Action Plans in a single database, alongside some data on area emissions estimates within the scope of influence of councils. It allows anyone to quickly and easily find out if their council has a plan, and put those plans into context.
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&#039;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.
coastDat is a model based data bank developed mainly for the assessment of long-term changes in data sparse regions. A sequence of numerical models is employed to reconstruct all aspects of marine climate (such as storms, waves, surges etc.) over many decades of years relying only on large-scale information such as large-scale atmospheric conditions or bathymetry.
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In the framework of the Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation’ (CRC/TR32, www.tr32.de), funded by the German Research Foundation from 2007 to 2018, a RDM system was self-designed and implemented. The so-called CRC/TR32 project database (TR32DB, www.tr32db.de) is operating online since early 2008. The TR32DB handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne, Bonn, Aachen, and the Research Centre Jülich) and research fields (e.g. soil and plant sciences, hydrology, geography, geophysics, meteorology, remote sensing). The data is resulting from several field measurement campaigns, meteorological monitoring, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected in the TR32DB.
CSDMS is a virtual home for a vibrant and growing community of about 1,000 international modeling experts and students who study the dynamic interactions of lithosphere, hydrosphere, cryosphere, and atmosphere at Earth’s surface. Participating in cross-disciplinary groups, members develop integrated software modules that predict the movement of water, sediment, and nutrients across landscapes and into the ocean. We share an open library of models, software, and access to high-performance computing. We also share knowledge that helps create higher-resolution simulations, often involving higher complexity algorithms. Together, we support the discovery, use, and conservation of natural resources; mitigation of natural hazards; geotechnical support of commercial and infrastructure development; environmental stewardship; and terrestrial surveillance for global security.
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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.
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Data Publication Server Forschungszentrum Juelich is a web server for providing large data sets to the general public. It's main application is publishing data belonging to scientific publications.
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.
DDE DPR is a repository of geoscience data established with the support of Deep-time Digital Earth international big science program (DDE), which is committed to building a resource base for long-term data sharing and data release. Users can provide their research results to consumers in a discoverable, shareable and referential way, provide long-term preservation, sharing and acquisition services for scientific data, and promote the findability, accessibility, interoperability and reusability (FAIR) of data on the basis of protecting the rights and interests of data authors, so as to promote the sharing of geoscience data.
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.
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Earth-Prints is an open archive created and maintained by Istituto Nazionale di Geofisica e Vulcanologia. This digital collection allows users to browse, search and access manuscripts, journal articles, theses, conference materials, books, book-chapters, web products. The goal of our repository is to collect, capture, disseminate and preserve the results of research in the fields of Atmosphere, Cryosphere, Hydrosphere and Solid Earth. Earth-prints is young and growing rapidly.
EartH2Observe brings together the findings from European FP projects DEWFORA, GLOWASIS, WATCH, GEOWOW and others. It will integrate available global earth observations (EO), in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length (several decades). The resulting data will allow for improved insights on the full extent of available water and existing pressures on global water resources in all parts of the water cycle. The project will support efficient and globally consistent water management and decision making by providing comprehensive multi-scale (regional, continental and global) water resources observations. It will test new EO data sources, extend existing processing algorithms and combine data from multiple satellite missions in order to improve the overall resolution and reliability of EO data included in the re-analysis dataset. The resulting datasets will be made available through an open Water Cycle Integrator data portal https://wci.earth2observe.eu/ : the European contribution to the GEOSS/WCI approach. The datasets will be downscaled for application in case-studies at regional and local levels, and optimized based on identified European and local needs supporting water management and decision making . Actual data access: https://wci.earth2observe.eu/data/group/earth2observe
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EarthByte is an internationally leading eGeoscience collaboration between several Australian Universities, international centres of excellence and industry partners. One of the fundamental aims of the EarthByte Group is geodata synthesis through space and time, assimilating the wealth of disparate geological and geophysical data into a four-dimensional Earth model including tectonics, geodynamics and surface processes. The EarthByte Group is pursuing open innovation via collaborative software development, high performance and distributed computing, “big data” analysis and by making open access digital data collections available to the community.
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Edmond is the institutional repository of the Max Planck Society for public research data. It enables Max Planck scientists to create citable scientific assets by describing, enriching, sharing, exposing, linking, publishing and archiving research data of all kinds. Further on, all objects within Edmond have a unique identifier and therefore can be clearly referenced in publications or reused in other contexts.