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Found 39 result(s)
The NOAA/ESRL Physical Sciences Division (PSD) conducts weather and climate research to observe and understand Earth's physical environment, and to improve weather and climate predictions on global-to-local scales. PSD archives a wide range of data ranging from gridded climate datasets extending hundreds of years to real-time wind profiler data at a single location. The data or products derived from this data, organized by type, are available to scientists and the general public .
Country
data.eaufrance.fr is an information system on water (EIS); it is registered in the National Plan for Water Data (NELS) and will be integrated into the data dissemination web pattern. It also complies with the European Directive 2003/98 / EC of November 2003 on the reuse of public sector information. data.eaufrance.fr is a public data distribution platform open for reuse in the terms and conditions of the Licence Open / Open License. Opendata SIE is coordinated by the National Office for Water and Aquatic Environments (Onema); it was developed by the BRGM and the International Office for Water (IOW).
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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.
The LINZ Data Service provides free online access to New Zealand’s most up-to-date land and seabed data. The data can be searched, browsed and downloaded. The LINZ web services can be also integrated into other applications.
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Through our decades of hydrological and ecological practices and the activities on the waterways of the German Federal a valuable inventory of hydrological information has emerged in the stuck our experience and knowledge base. Almost all environmental information have a direct or indirect spatial reference. This inventory of spatial data continues to grow. He is both the basis and results of our scientific work. With GGInA, the hydrological Geographical Information and Analysis System of BfG, you can research yourself in this inventory. Much of the information and data is accessed directly on the Metadata Catalog Search and specialist applications. The Geoportal also opens up databases of our partners in the transport and environment. At the same selected data can also be integrated into other environmental portals.
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.
The purpose of the Dataset Catalogue is to enhance discovery of GNS Science datasets. At a minimum, users will be able to determine whether a dataset on a specific topic exists and then whether it pertains to a specific place and/or a specific date or period. Some datasets include a web link to an online resource. In addition, contact details are provided for the custodian of each dataset as well as conditions of use.
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
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The CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre has managed marine data for Australia's government research organisation for over 30 years. They have an enduring archive of marine and climate research data, and regularly publish data (including physical, chemical, bathymetric and biological data) collected on board RV Investigator as part of the Marine National Facility. Data from the MNF is freely and publicly available.
Within WASCAL a large number of heterogeneous data are collected. These data are mainly coming from different initiated research activities within WASCAL (Core Research Program, Graduate School Program) from the hydrological-meteorological, remote sensing, biodiversity and socio economic observation networks within WASCAL, and from the activities of the WASCAL Competence Center in Ouagadougou, Burkina-Faso.
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.
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The COSYNA observatory measures key physical, sedimentary, geochemical and biological parameters at high temporal resolution in the water column and at the sediment and atmospheric boundaries. COSYNA delivers spatial representation through a set of fixed and moving platforms, like tidal flats poles, FerryBoxes, gliders, ship surveys, towed devices, remote sensing, etc.. New technologies like underwater nodes, benthic landers and automated sensors for water biogeochemical parameters are further developed and tested. A great variety of parameters is measured and processed, stored, analyzed, assimilated into models and visualized.
The GTN-P database is an object-related database open for a diverse range of data. Because of the complexity of the PAGE21 project, data provided in the GTN-P management system are extremely diverse, ranging from active-layer thickness measurements once per year to flux measurement every second and everthing else in between. The data can be assigned to two broad categories: Quantitative data which is all data that can be measured numerically. Quantitative data comprise all in situ measurements, i.e. permafrost temperatures and active layer thickness (mechanical probing, frost/thaw tubes, soil temperature profiles). Qualitative data (knowledge products) are observations not based on measurements, such as observations on soils, vegetation, relief, etc.
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.