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Found 7 result(s)
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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.
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.
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The NCI National Research Data Collection is Australia’s largest collection of research data, encompassing more than 10 PB of nationally and internationally significant datasets.
IRMA (Integrated Resource Management Applications) provides natural and cultural resources data from the National Park Service. Most entries are in the form of peer-reviewed publications, but some are raw data sets based on in-park research projects.
Data repository of a meteorological experiment conducted in Perdigão, Portugal between December 15, 2016 to June 15, 2017. The Perdigao field project is part of a larger joint US/European multi-year program in Portugal. The project is partially funded by the European Union (EU) ERANET+ to provide the wind energy sector with more detailed resource mapping capabilities in the form of a new digital EU wind atlas. A major goal of the Perdigão field project is to quantify errors of wind resource models against a benchmark dataset collected in complex terrain. The US participation will complement this activity by identifying physical and numerical weaknesses of models and developing new knowledge and methods to overcome such deficiencies.