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Found 7 result(s)

Global carbon atlas

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The Global Carbon Atlas is an online platform to explore, visualize and interpret global and regional carbon data arising from both human activities and natural processes. The graphics and data sources are made available in the belief that their wide dissemination will lead to new knowledge and better-informed decisions to limit and cope with human-induced climate change. The Global Carbon Atlas is a community effort under the umbrella of the Global Carbon Project based on the contributions of many research institutions and individual scientists around the world who make available observations, models, and interpretation skills.

KNMI Data Platform

formerly: KDC

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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.

VMF Data Server

Vienna Mapping Functions Open Access Data

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This website provides a collection of all troposphere models published by TU Wien as well as all related data files.

Chapman University Digital Commons Datasets

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Chapman University Digital Commons is an open access digital repository and publication platform designed to collect, store, index, and provide access to the scholarly and creative output of Chapman University faculty, students, staff, and affiliates. In it are faculty research papers and books, data sets, outstanding student work, audiovisual materials, images, special collections, and more, all created by members of or owned by Chapman University. The datasets are listed in a separate collection.

EarthByte

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EarthByte is an internationally leading eGeoscience collaboration between several Australian Universities, international centres of excellence and industry partners. One of the fundamental aims of the EarthByte Group is geodata synthesis through space and time, assimilating the wealth of disparate geological and geophysical data into a four-dimensional Earth model including tectonics, geodynamics and surface processes. The EarthByte Group is pursuing open innovation via collaborative software development, high performance and distributed computing, “big data” analysis and by making open access digital data collections available to the community.

CARIBIC

Civil Aircraft for the Regular Investigation of the atmosphere Based on an Instrument Container

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CARIBIC is an innovative scientific project to study and monitor important chemical and physical processes in the Earth´s atmosphere. Detailed and extensive measurements are made during long distance flights. We deploy an airfreight container with automated scientific apparatus which are connected to an air and particle (aerosol) inlet underneath the aircraft. We use an Airbus A340-600 from Lufthansa since December 2004.

METIS

FMI’s Research Data Repository

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Finnish Meteorological Institute (FMI) research data repository METIS is provided by EUDAT and enables the institute data to be preserved, discovered, and accessed. FMI covers a wide range of research on weather, sea, climate and space. According to the FMI's Research Data policy , publicly funded research data must be made available to the widest possible audience (under CC BY license, at the minimum), as the best way to maximize the data impact but also to do justice to all the hard labor put into collecting, cleaning, and analyzing the data.