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Found 32 result(s)
SAHFOS is an internationally funded independent research non-profit organisation responsible for the operation of the Continuous Plankton Recorder (CPR) Survey. As a large-scale global survey, it provides the scientific and policy communities with a basin-wide and long-term measure of the ecological health of marine plankton. Established in 1931, the CPR Survey is the longest running, most geographically extensive marine ecological survey in the world. It has a considerable database of marine plankton and associated metadata that is used by researchers and policy makers to examine strategically important science pillars such as climate change, human health, fisheries, biodiversity, pathogens, invasive species, ocean acidification and natural capital. The Continuous Plankton Recorder (CPR) Survey has merged with the Marine Biological Association. Today the Survey is operated by the Marine Biological Association, based in Plymouth, UK.
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Our system consists of a portal (portal.geomar.de), providing access to several projects with personal password. The portal offers document exchange, common or individual blogs and fora and implementation of external webpages and -services. Moreover, you can access the expedition database, that organizes data description and exchange of cruises and expeditions for each project. Expeditions are linked to KML-files (Google-Earth compatible), allowing a visualization of all stations of a cruise/expedition. We established the linkage to the publications database /repository OceanRep (EPrints), as well as the description of model-output and linkage to paper publications.
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HALO-DB is the web platform of a data retrieval and long-term archive system. The system was established to hold and to manage a wide range of data based on observations of the HALO research aircraft and data which are related to HALO observations. HALO (High-Altitude and LOng-range aircraft) is the new German research aircraft (German Science Community (DFG)). The aircraft, a Gulfstream GV-550 Business-Jet, is strongly modified for the application as a research platform. HALO offers several advantages for scientific campaigns, such as its high range of more than 10000 km, a high maximum altitude of more than 15 km, as well as a relatively high payload.
The Magnetics Information Consortium (MagIC) improves research capacity in the Earth and Ocean sciences by maintaining an open community digital data archive for rock magnetic, geomagnetic, archeomagnetic (archaeomagnetic) and paleomagnetic (palaeomagnetic) data. Different parts of the website allow users access to archive, search, visualize, and download these data. MagIC supports the international rock magnetism, geomagnetism, archeomagnetism (archaeomagnetism), and paleomagnetism (palaeomagnetism) research and endeavors to bring data out of private archives, making them accessible to all and (re-)useable for new, creative, collaborative scientific and educational activities. The data in MagIC is used for many types of studies including tectonic plate reconstructions, geomagnetic field models, paleomagnetic field reversal studies, magnetohydrodynamical studies of the Earth's core, magnetostratigraphy, and archeology. MagIC is a domain-specific data repository and directed by PIs who are both producers and consumers of rock, geo, and paleomagnetic data. Funded by NSF since 2003, MagIC forms a major part of https://earthref.org which integrates four independent cyber-initiatives rooted in various parts of the Earth, Ocean and Life sciences and education.
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The Norwegian Marine Data Centre (NMD) at the Institute of Marine Research was established as a national data centre dedicated to the professional processing and long-term storage of marine environmental and fisheries data and production of data products. The Institute of Marine Research continuously collects large amounts of data from all Norwegian seas. Data are collected using vessels, observation buoys, manual measurements, gliders – amongst others. NMD maintains the largest collection of marine environmental and fisheries data in Norway.
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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.
>>>>!!!<<<<As of March 28, 2016, the 'NSF Arctic Data Center' will serve as the current repository for NSF-funded Arctic data. The ACADIS Gateway http://www.aoncadis.org is no longer accepting data submissions. All data and metadata in the ACADIS system have been transferred to the NSF Arctic Data Center system. There is no need for you to resubmit existing data. >>>>!!!<<<< ACADIS is a repository for Arctic research data to provide data archival, preservation and access for all projects funded by NSF's Arctic Science Program (ARC). Data include long-term observational timeseries, local, regional, and system-scale research from many diverse domains. The Advanced Cooperative Arctic Data and Information Service (ACADIS) program includes data management services.
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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.
The Centre for Environmental Data Analysis (CEDA) serves the environmental science community through managing data centres, data analysis environments, and participation in a host of relevant research projects. We aim to support environmental science, further environmental data archival practices, and develop and deploy new technologies to enhance access to data. Additionally we provide services to aid large scale data analysis. The CEDA Archive operates the atmospheric and earth observation data centre functions on behalf of NERC for the UK atmospheric science and earth observation communities. It covers climate, composition, observations and NWP data as well as various earth observation datasets, including airborne and satellite data and imagery. Prior to November 2016 these functions were operted by CEDA under the titles of the British Atmospheric Data Centre (BADC) and the NERC Earth Observation Data Centre (NEODC). CEDA also operates the UK Solar System Data Centre (UKSSDC), which curates and provides access to archives of data from the upper atmosphere, ionosphere and Earth's solar environment.
TemperateReefBase is a resource for temperate reef researchers worldwide to use and contribute data. Unique in its role as a one-stop-shop for global temperate reef data, TemperateReefBase was initially established by IMAS in collaboration with the Kelp Ecology Ecosystem Network (KEEN). KEEN was instigated through a National Centre for Ecological Analysis and Synthesis (NCEAS) working group which assembled experts from around the world to examine the impacts of global change on kelp-bed ecosystem worldwide. The group has assembled significant global data for kelps, other seaweeds and associated species including fishes, and has embarked on unprecedented global experiments and surveys in which identical experiments and surveys are being conducted at sites in kelp beds around the world to determine global trends and examine the capacity of kelps to respond to disturbance in the face of climate change and other anthropogenic stressors. The TemperateReefBase Data Portal is an online discovery interface showcasing temperate reef data collected from around the globe. The portal aims to make this data freely and openly available for the benefit of marine and environmental science as a whole. The TemperateReefBase Data Portal is hosted and maintained by the Institute for Marine and Antarctic Studies at the University of Tasmania, Australia.
Additionally to the institutional repository, current St. Edward's faculty have the option of uploading their work directly to their own SEU accounts on stedwards.figshare.com. Projects created on Figshare will automatically be published on this website as well. For more information, please see documentation
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HYdrological cycle in the Mediterranean EXperiemnt. Considering the science and societal issues motivating HyMeX, the programme aims to : improve our understanding of the water cycle, with emphasis on extreme events, by monitoring and modelling the Mediterranean atmosphere-land-ocean coupled system, its variability from the event to the seasonal and interannual scales, and its characteristics over one decade (2010-2020) in the context of global change, assess the social and economic vulnerability to extreme events and adaptation capacity.The multidisciplinary research and the database developed within HyMeX should contribute to: improve observational and modelling systems, especially for coupled systems, better predict extreme events, simulate the long-term water-cycle more accurately, provide guidelines for adaptation measures, especially in the context of global change.
PISCO researchers collect biological, chemical, and physical data about ocean ecosystems in the nearshore portions of the California Current Large Marine Ecosystem. Data are archived and used to create summaries and graphics, in order to ensure that the data can be used and understood by a diverse audience of managers, policy makers, scientists and the general public.
The South African Marine Information Management System (MIMS) is an Open Archival Information System (OAIS) repository that plays a multifaceted role in archiving, publishing, and preserving marine-related datasets. As an IODE-accredited Associate Data Unit (ADU), MIMS serves as a national node for the IODE of the IOC of UNESCO. It archives and publishes collections and subsets of marine-related datasets for the National Department of Forestry, Fisheries, and the Environment (DFFE) and its regional partners. As an IOC member organization, DFFE is committed to supporting the long-term preservation and archival of marine and coastal data for South Africa and its regional partners, promoting open access to data, and encouraging scientific collaboration. Tasked with the long-term preservation of South Africa's marine and coastal data, MIMS functions as an institutional data repository. It provides primary access to all data collected by the DFFE Oceans and Coastal Research Directorate and acts as a trusted broker of scientific marine data for a wide range of South African institutions. MIMS hosts the IODE AFROBIS Node, an OBIS Node that coordinates and collates data management activities within the sub-Saharan African region. As part of the OBIS Steering Group, MIMS represents sub-Saharan Africa on issues around biological (biodiversity) data standards. It also facilitates data and metadata publishing for the region through the GBIF and OBIS networks. Operating on the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles, MIMS aligns its practices to maximize ocean data exchange and use while respecting the conditions stipulated by the Data Provider. By integrating various functions and commitments, MIMS stands as a vital component in the marine and coastal data landscape, fostering collaboration, standardization, and accessibility in alignment with international standards and regional needs.
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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.
The CCHDO provides access to standard, well-described datasets from reference-quality repeat hydrography expeditions. It curates high quality full water column Conductivity-Temperature-Depth (CTD), hydrographic, carbon and tracer data from over 2,500 cruises from ~30 countries. It is the official data center for CTD and water sample profile data from the Global Ocean Ship-Based Hydrographic Investigations Program (GO-SHIP), as well as for WOCE, US Hydro, and other high quality repeat hydrography lines (e.g. SOCCOM, HOT, BATS, WOCE, CARINA.)
WHOI is the world's leading non-profit oceanographic research organization. WHOI maintains unparalleled depth and breadth of expertise across a range of oceanographic research areas. Institution scientists and engineers work collaboratively within and across six research departments to advance knowledge of the global ocean and its fundamental importance to other planetary systems. At the same time, they also train future generations of ocean scientists and address problems that have a direct impact in efforts to understand and manage critical marine resources.
MERMex is focused on the biogeochemical changes that will take place in the Mediterranean Sea due to natural changes as well as the socio-economic impacts, and how they will affect marine ecosystems and biodiversity.
The goal of NGEE–Arctic is to reduce uncertainty in projections of future climate by developing and validating a model representation of permafrost ecosystems and incorporating that representation into Earth system models. The new modeling capabilities will improve our confidence in model projections and will enable scientist to better respond to questions about processes and interactions now and in the future. It also will allow them to better communicate important results concerning climate change to decision makers and the general public. And let's not forget about summer in the Antarctic, which happens during our winter months.
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The Lamont-Doherty Core Repository (LDCR) contains one of the world’s most unique and important collection of scientific samples from the deep sea. Sediment cores from every major ocean and sea are archived at the Core Repository. The collection contains approximately 72,000 meters of core composed of 9,700 piston cores; 7,000 trigger weight cores; and 2,000 other cores such as box, kasten, and large diameter gravity cores. We also hold 4,000 dredge and grab samples, including a large collection of manganese nodules, many of which were recovered by submersibles. Over 100,000 residues are stored and are available for sampling where core material is expended. In addition to physical samples, a database of the Lamont core collection has been maintained for nearly 50 years and contains information on the geographic location of each collection site, core length, mineralogy and paleontology, lithology, and structure, and more recently, the full text of megascopic descriptions.
UNAVCO promotes research by providing access to data that our community of geodetic scientists uses for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. After processing, these data enable millimeter-scale surface motion detection and monitoring at discrete points, and high-resolution strain imagery over areas of tens of square meters to hundreds of square kilometers. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.
The MHKDR is the repository for all data collected using funds from the Water Power Technologies Office (WPTO) of the U.S. Department of Energy (DOE). It was established to receive, manage, and make available all water power relevant data generated from projects funded by the DOE Water Power Technologies Office. This includes data from WPTO-funded projects associated with any portion of the water power project life-cycle (exploration, development, operation), as well as data produced by WPTO-funded research.
EOL’s platforms and instruments collect large and often unique data sets that must be validated, archived and made available to the research community. The goal of EOL data services is to advance science through delivering high-quality project data and metadata in ways that are as transparent, secure, and easily accessible as possible - today and into the future. By adhering to accepted standards in data formats and data services, EOL provides infrastructure to facilitate discovery and direct access to data and software from state-of-the-art commercial and locally-developed applications. EOL’s data services are committed to the highest standard of data stewardship from collection to validation to archival.