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The Environmental Change Network is the UK’s long-term environmental monitoring and research (LTER) programme. We make regular measurements of plant and animal communities and their physical and chemical environment. Our long-term datasets are used to increase understanding of the effects of climate change, air pollution and other environmental pressures on UK ecosystems.
The Water Survey has flourished for more than a century by anticipating and responding to new challenges and opportunities to serve the citizens of Illinois. Today, the ISWS continues to demonstrate flexibility and adaptability by developing new programs, while continuing to provide long-standing services upon which Illinoisans have come to rely. The Scientific Surveys of the University of Illinois at Urbana-Champaign are the primary agencies in Illinois responsible for producing and disseminating scientific and technological information, services, and products related to the environment, economic development, and quality of life. To achieve this mission, the Scientific Surveys conduct state-of-the-art research and collect, analyze, archive, and disseminate high-quality, objective data and technical information. The information, services, and products provide a sound technical basis for the citizens and policymakers of Illinois and the nation to make wise social, economic, and environmental decisions.
EOL’s platforms and instruments collect large and often unique data sets that must be validated, archived and made available to the research community. The goal of EOL data services is to advance science through delivering high-quality project data and metadata in ways that are as transparent, secure, and easily accessible as possible - today and into the future. By adhering to accepted standards in data formats and data services, EOL provides infrastructure to facilitate discovery and direct access to data and software from state-of-the-art commercial and locally-developed applications. EOL’s data services are committed to the highest standard of data stewardship from collection to validation to archival.