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Updated: Jun 27, 2026

Production and Measurement of Organic Particulate Matter in the Harvard Environmental Chamber
Published on: November 18, 2018
Semantically enhanced provenance capture for chamber model development with a master chemical mechanism
Chris J Martin1, Mohammed H Haji, Peter M Dew
1School of Chemistry, University of Leeds, Leeds LS2 9JT, UK. c.j.martin05@leeds.ac.uk
Abstract:
The development and maintenance of benchmark databases within scientific communities is reliant on interactions with database users. We explore the role of semantically enhanced provenance for computational modelling processes that make use of one such database: the master chemical mechanism, a key resource within the atmospheric chemistry community.
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