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Found 188 result(s)
The twin GRACE satellites were launched on March 17, 2002. Since that time, the GRACE Science Data System (SDS) has produced and distributed estimates of the Earth gravity field on an ongoing basis. These estimates, in conjunction with other data and models, have provided observations of terrestrial water storage changes, ice-mass variations, ocean bottom pressure changes and sea-level variations. This portal, together with PODAAC, is responsible for the distribution of the data and documentation for the GRACE project.
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The term GNSS (Global Navigation Satellite Systems) comprises the different navigation satellite systems like GPS, GLONAS and the future Galileo as well as rawdata from GNSS microwave receivers and processed or derived higher level products and required auxiliary data. The results of the GZF GNSS technology based projects are used as contribution for maintaining and studying the Earth rotational behavior and the global terrestial reference frame, for studying neotectonic processes along plate boundaries and the interior of plates and as input to short term weather forecasting and atmosphere/climate research. Currently only selected products like observation data, navigation data (ephemeriden), meteorological data as well as quality data with a limited spatial coverage are provided by the GNSS ISDC.
TerraSAR-X is a German satellite for Earth Observation, which was launched on July 14, 2007. The mission duration was foreseen to be 5 years. TerraSAR-X carries an innovative high resolution x-band sensor for imaging with resolution up to 1 m. TerraSAR-X carries as secondary payload an IGOR GPS receiver with GPS RO capability. GFZ provided the IGOR and is responsible for the related TOR experiment (Tracking, Occultation and Ranging). TerraSAR-X provides continuously atmospheric GPS data in near-real time. These data from GFZ are continuously assimilated in parallel with those from GRACE-A by the world-leading weather centers to improve their global forecasts. TerraSAR-X, together with TanDEM-X also forms a twin-satellite constellation for atmosphere sounding and generates an unique data set for the evaluation of the accuracy of the GPS-RO technique.
The European Environment Agency (EEA) is an agency of the European Union. Our task is to provide sound, independent information on the environment. We are a major information source for those involved in developing, adopting, implementing and evaluating environmental policy, and also the general public. Currently, the EEA has 33 member countries. EEA's mandate is: To help the Community and member countries make informed decisions about improving the environment, integrating environmental considerations into economic policies and moving towards sustainability To coordinate the European environment information and observation network (Eionet)
ScienceBase provides access to aggregated information derived from many data and information domains, including feeds from existing data systems, metadata catalogs, and scientists contributing new and original content. ScienceBase architecture is designed to help science teams and data practitioners centralize their data and information resources to create a foundation needed for their work. ScienceBase, both original software and engineered components, is released as an open source project to promote involvement from the larger scientific programming community both inside and outside the USGS.
DATA.NASA.GOV is NASA's clearinghouse site for open-data provided to the public. Tens of thousands of datasets are available for you. This site is a continually growing catalog of publicly available NASA Datasets, APIs, Visualizations, and more.
KDP has replaced the KNMI Data Centre (KDC), which was turned off on the 27th of July 2020. Not only a change of name, but also a transition to new technologies. Initially, the KDP will be more primitive than KDC. To fulfill future ambitions, a digital KNMI transformation has been initiated. Part of this transition is the development of a new KDP as a successor of the KDC. All data on the KNMI Data Platform is free to use. For some datasets a service agreement is available, which is indicated on the page of the dataset. The KNMI Data platform provides access to KNMI data on weather, climate and seismology. Here you will find KNMI data on various subjects such as the most recent 10-minute observations, historical series, data about meteorological measuring stations, model calculations, earthquake data and satellite products. In addition to KNMI datasets, we also make datasets from other parties available, such as ECMWF, ECOMET, EUMETSAT and WMO.
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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The Database for Hydrological Time Series of Inland Waters (DAHITI) was developed by the Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM) in 2013. DAHITI provides water level time series of lakes, reservoirs, rivers, and wetlands derived from multi-mission satellite altimetry for hydrological applications. All water level time series are free available for the user community after a short registration process.
NKN is now Research Computing and Data Services (RCDS)! We provide data management support for UI researchers and their regional, national, and international collaborators. This support keeps researchers at the cutting-edge of science and increases our institution's competitiveness for external research grants. Quality data and metadata developed in research projects and curated by RCDS (formerly NKN) is a valuable, long-term asset upon which to develop and build new research and science.
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.
MODES focuses on the representation of the inertio-gravity circulation in numerical weather prediction models, reanalyses, ensemble prediction systems and climate simulations. The project methodology relies on the decomposition of global circulation in terms of 3D orthogonal normal-mode functions. It allows quantification of the role of inertio-gravity waves in atmospheric varibility across the whole spectrum of resolved spatial and temporal scales. MODES is compiled by using gfortran although other options have been succesfully tested. The application requires the use of the netcdf and (optionally) grib-api libraries.
The Australian National University undertake work to collect and publish metadata about research data held by ANU, and in the case of four discipline areas, Earth Sciences, Astronomy, Phenomics and Digital Humanities to develop pipelines and tools to enable the publication of research data using a common and repeatable approach. Aims and outcomes: To identify and describe research data held at ANU, to develop a consistent approach to the publication of metadata on the University's data holdings: Identification and curation of significant orphan data sets that might otherwise be lost or inadvertently destroyed, to develop a culture of data data sharing and data re-use.
The figshare service for The Open University was launched in 2016 and allows researchers to store, share and publish research data. It helps the research data to be accessible by storing metadata alongside datasets. Additionally, every uploaded item receives a Digital Object Identifier (DOI), which allows the data to be citable and sustainable. If there are any ethical or copyright concerns about publishing a certain dataset, it is possible to publish the metadata associated with the dataset to help discoverability while sharing the data itself via a private channel through manual approval.
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The INGV Data Registry collects the metadata describing the Research Data that are the result of the scientific production of INGV and/or managed and/or published by INGV, regardless of whether these data are static or dynamic, and regardless of the procedures followed for their creation. The Data Registry is publicly accessible through INGV’s institutional Web portal https://data.ingv.it/, and use thereof aims at satisfying needs within INGV, but also the needs of outside users.
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The data page makes the data that PCIC collects and produces publicly available with an open license. The page presently provides access to BC Station Data, High-Resolution Climatology, Downscaled Climate Scenarios and VIC Hydrologic Model Output and Extreme Indices calculated from CMIP5.
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The BAW is a research institute for the Federal Ministry of Transport and acts as an advisor to the federal government for issues of waterway engineering. In this role the BAW consumes and produces large volumes of data and information. As part of the implementation of Open Data legislation and in support of Open Data and Open Access principles, the BAW provides access to scientific data together with their metadata. The BAW-Datenrepository was developed as a point of access for hydraulic engineering experts, contractors and customers of the BAW as well as the general public. It is a source for quality-assured information and provides standardised, long-term access to waterway engineering data. The BAW-Datenrepository supports the targeted search for information and data and gives direct access to them. By publishing its scientific data, the BAW promotes transparency in public discourse as well as accountability of public administration enabling the data to create value beyond the BAW.
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Repository of the Faculty of Science is institutional repository that gathers, permanently stores and allows access to the results of scientific and intellectual property of the Faculty of Science, University of Zagreb. The objects that can be stored in the repository are research data, scientific articles, conference papers, theses, dissertations, books, teaching materials, images, video and audio files, and presentations. To improve searchability, all materials are described with predetermined set of metadata.
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ISTA Research Explorer is an online digital repository of multi-disciplinary research datasets as well as publications produced at IST Austria, hosted by the Library. ISTA researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researches, are invited to upload their dataset for sharing and safekeeping. A persistent identifier and suggested citation will be provided.