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The Centre for Environmental Data Analysis (CEDA) serves the environmental science community through managing data centres, data analysis environments, and participation in a host of relevant research projects. We aim to support environmental science, further environmental data archival practices, and develop and deploy new technologies to enhance access to data. Additionally we provide services to aid large scale data analysis. The CEDA Archive operates the atmospheric and earth observation data centre functions on behalf of NERC for the UK atmospheric science and earth observation communities. It covers climate, composition, observations and NWP data as well as various earth observation datasets, including airborne and satellite data and imagery. Prior to November 2016 these functions were operted by CEDA under the titles of the British Atmospheric Data Centre (BADC) and the NERC Earth Observation Data Centre (NEODC). CEDA also operates the UK Solar System Data Centre (UKSSDC), which curates and provides access to archives of data from the upper atmosphere, ionosphere and Earth's solar environment.
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Strasbourg astronomical Data Center (CDS) is dedicated to the collection and worldwide distribution of astronomical data and related information. Alongside data curation and service maintenance responsibilities, the CDS undertakes R&D activities that are fundamental to ensure the long term sustainability in a domain in which technology evolves very quickly. R&D areas include informatics, big data, and development of the astronomical Virtual Observatory (VO). CDS is a major actor in the VO with leading roles in European VO projects, the French Virtual Observatory and the International Virtual Observatory Alliance (IVOA). The CDS hosts the SIMBAD astronomical database, the world reference database for the identification of astronomical objects; VizieR, the catalogue service for the CDS reference collection of astronomical catalogues and tables published in academic journals; and the Aladin interactive software sky atlas for access, visualization and analysis of astronomical images, surveys, catalogues, databases and related data.
ISRIC - World Soil Information is an independent foundation. As regular member of the ICS World Data System it is also known as World Data Centre for Soils (WDC-Soils). ISRIC was founded in 1966 through the International Soil Science Society (ISSS) and United Nations Educational, Scientific and Cultural Organization (UNESCO), with a mission to "help to increase the availability and use of soil data, information and knowledge to enable better decision making for sustainable land management around the world". Our work is organised according to four work streams: 1) Global soil information & standards, 2) Community of practice for soil information providers, 3) Products and services to support SLM (sustainable land management) decision making, and 4) Awareness, education and dialogues. data.isric.org is our central location for searching and downloading soil data bases/maps from around the world. We support Open Data whenever possible, respecting inherited rights (licenses).
The Language Bank features text and speech corpora with different kinds of annotations in over 60 languages. There is also a selection of tools for working with them, from linguistic analyzers to programming environments. Corpora are also available via web interfaces, and users can be allowed to download some of them. The IP holders can monitor the use of their resources and view user statistics.
The WDC is concerned with the collection, management, distribution and utilization of data from Chinese provinces, autonomous regions and counties,including: Resource data:management,distribution and utlilzation of land, water, climate, forest, grassland, minerals, energy, etc. Environmental data:pollution,environmental quality, change, natural disasters,soli erosion, etc. Biological resources:animals, plants,wildlife Social economy:agriculture, industry, transport, commerce,infrastructure,etc. Population and labor Geographic background data on scales of 1:4M,1:1M, 1:(1/2)M, 1:2500, etc.
Currently the institute has more than 700 collections consisting of (digital) research data, digitized material, archival collections, printed material, handwritten questionnaires, maps and pictures. The focus is on resources relevant for the study of function, meaning and coherence of cultural expressions and resources relevant for the structural, dialectological and sociolinguistic study of language variation within the Dutch language. An overview is here https://meertens.knaw.nl/en/datasets/