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Found 1437 result(s)
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The Jülich Observatory for Cloud Evolution (JOYCE) operates ground-based active and passive remote sensing instruments for cloud and precipitation observations. ​JOYCE is based on a long-term successful collaboration between the University of Cologne, the University of Bonn and the Research Centre Jülich. Since 2017 JOYCE is transformed into a Core Facility (JOYCE - CF) funded by the DFG (Deutsche Forschungsgemeinschaft) with the aim of high quality radar and passive microwave observations of the atmosphere. JOYCE will serve as a reference center for best practices in data acquisition, storage and distribution. JOYCE instrumentation aims to observe spatial and temporal variability of atmospheric water cycle variables.
<<<!!!<<< Duplicate to https://www.re3data.org/repository/r3d100011116 , this entry is no longer maintained >>>!!!>>> GGOS is the Global Geodetic Observing System of the International Association of Geodesy (IAG). It provides observations of the three fundamental geodetic observables and their variations, that is, the Earth's shape, the Earth's gravity field and the Earth's rotational motion. GGOS integrates different geodetic techniques, different models, different approaches in order to ensure a long-term, precise monitoring of the geodetic observables in agreement with the Integrated Global Observing Strategy (IGOS). GGOS provides the observational basis to maintain a stable, accurate and global reference frame and in this function is crucial for all Earth observation and many practical applications.
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Applying the Terrestrial Systems Modeling Platform, TerrSysMP, this dataset consists of the first simulated long-term (1989-2018), high-resolution (~12.5km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of atmosphere (G2A). This data set constitutes a near-natural realization of the European terrestrial system, which cannot be obtained from observations, and can, thus, serve as a reference for global change simulations including human water use and climate change.
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<<<!!!<< With the implementation of GlyTouCan (https://glytoucan.org/) the mission of GlycomeDB comes to an end. >>>!!!>>> With the new database, GlycomeDB, it is possible to get an overview of all carbohydrate structures in the different databases and to crosslink common structures in the different databases. Scientists are now able to search for a particular structure in the meta database and get information about the occurrence of this structure in the five carbohydrate structure databases.
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 Phonogrammarchiv is a multi-disciplinary research sound and video archive, covering holdings from all continents. Since its foundation in 1899 the Phonogrammarchiv has been building up its holdings by cooperating with Austrian scholars and archiving their collected material, or by fieldwork conducted by staff members on special topics exploring new fields of methods and contents. The main tasks comprise the production, annotation, cataloguing and long-term preservation of audio-visual field recordings, making the cultural heritage available for future generations and enabling the dissemination of the recordings as well as technical developments in the field of AV recording and storage. Thus the Phonogrammarchiv adds to infrastructural performance valuable to both the scholarly community and the public at large.
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O Repositório Aleia é o repositório digital oficial do Ibict para arquivar, publicar, disseminar, preservar e compartilhar os dados digitais de pesquisa produzidos pela comunidade científica Ibict, com a missão de promover, apoiar e facilitar a adoção do acesso aberto aos dados de pesquisa, fomentar novas pesquisas e promover uma Ciência Aberta. Para efeito deste documento, a comunidade científica institucional é aquela constituída por seus servidores, pesquisadores visitantes, bolsistas e alunos do programa de pós-graduação.
EM-DAT is a global database on natural and technological disasters, containing essential core data on the occurrence and effects of more than 26,000 disasters in the world, from 1900 to present. EM-DAT provides geographical, temporal, human and economic information on disasters at the country level. The database is compiled from various sources, including UN agencies, non-governmental organisations, insurance companies, research institutes and press agencies.
This site is now made possible by University of Canterbury, New Zealand, and serves as historical repository of collections of files once housed at datacenterhub (without the interactive tools that were available on that site). Former description: We offer a public platform to help researchers organize, share, and explore their research data. DataCenterHub provides a simple, standardized yet flexible platform to preserve and share data. In the future, this platform will offer data visualization tools and the ability to compare directly data from different sources.
The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty.
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CosmoHub is a web application based on Hadoop to perform interactive exploration and distribution of massive cosmological datasets