Volumetric estimates of organic carbon being created by photosynthesis or consumed by ecosystem respiration. Flow-MER deploys data loggers to record changes in dissolved oxygen, light and temperature over the course of 24 hours with continuous recording every 5 minutes. The data is analysed using the statistical model ‘BASEv2’ (BAyesian Single-station Estimation). The model (Grace et al. 2015) was updated during 2016 in accordance with methodological recommendations contained within Song et al. (2016). Flow-MER converts these BASE volumetric estimates (this data set) into reach-scale estimates with the appropriate hydraulic information (cross-sectional area) to estimate the amount of organic carbon being created by photosynthesis or consumed by ecosystem respiration in a nominal 1 kilometre (km) stream reach at the gauging site. The CEWH’s Flow-MER program examines the contribution of Commonwealth environmental water to the environmental objectives of the Basin Plan 2012 (Basin Plan) and is assisting the CEWH to demonstrate environmental outcomes and adaptively manage the water holdings. Monitoring and evaluation is focused in seven Selected Areas: the Junction of the Warrego and Darling rivers, Gwydir river system, Lachlan river system, Murrumbidgee river system, Edward/Kolety-Wakool river system, Goulburn River and Lower Murray River. This Flow-MER data set includes and extends the long-term data collected at the same sites during the Long Term Intervention Monitoring (LTIM) project (2014-2019). Grace MR, Giling DP, Hladyz S, Caron V, Thompson RM, Mac Nally R (2015) Fast processing of diel oxygen curves: estimating stream metabolism with BASE (BAyesian Single-station Estimation). Limnology & Oceanography: Methods, 13, 103-114 Song C, Dodds WK, Trentman MT, Rüegg J, Ballantyne F (2016) Methods of approximation influence aquatic ecosystem metabolism estimates. Limnology and Oceanography: Methods 14(9), 557–569. ###Acknowledgement The Commonwealth Environmental Water Holder and Flow-MER program acknowledge the First Nations peoples as the Traditional Owners and Custodians of the lands, waterways and skies of the Murray-Darling Basin. We respect their continuing connection to culture and Country, and we thank them for their knowledge and science and the values reflected in these data. ###Citation CEWH (2024) Metabolism BASE Model. Flow-MER Program. Commonwealth Environmental Water Office, Australian Government Department of Climate Change, Energy, the Environment and Water. Sourced on from https://data.gov.au/data/dataset/flow-mer-metabolism-base-model on [date-sourced].

This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015-2018 by the U.S. Geological Survey. Metabolism was estimated at each site using the streamMetabolizer package in the R computing environment. When data were collected for multiple years at a site, stream metabolism was separately estimated for each year. For each site and for each year, three files are provided; (1) the input data file, which includes continuous dissolved oxygen, solar time, water temperature, light, and stream depth, (2) the output data file, containing the daily metabolism estimates, and (3) a site-specific html file that serves as a guide for running the streamMetabolizer package for each site. File names include an abbreviated name for the site (The site 'short_name') to distinguish the files associated with each field site. Final metabolism models were run using a fixed value for K600, which is the mean reaeration rate coefficient scaled to a Schmidt number of 600; this fixed value was determined for each site based on initial model calibration runs. In addition to the stream metabolism files, a comma-delimited file containing basic site characteristics is included for reference. This site file includes the USGS site identifier, the site 'short name', the complete USGS site name, and the latitude and longitude of the sampling reach.

This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015-2018 by the U.S. Geological Survey. Metabolism was estimated at each site using the streamMetabolizer package in the R computing environment. When data were collected for multiple years at a site, stream metabolism was separately estimated for each year. For each site and for each year, three files are provided; (1) the input data file, which includes continuous dissolved oxygen, solar time, water temperature, light, and stream depth, (2) the output data file, containing the daily metabolism estimates, and (3) a site-specific html file that serves as a guide for running the streamMetabolizer package for each site. File names include an abbreviated name for the site (The site 'short_name') to distinguish the files associated with each field site. Final metabolism models were run using a fixed value for K600, which is the mean reaeration rate coefficient scaled to a Schmidt number of 600; this fixed value was determined for each site based on initial model calibration runs. In addition to the stream metabolism files, a comma-delimited file containing basic site characteristics is included for reference. This site file includes the USGS site identifier, the site 'short name', the complete USGS site name, and the latitude and longitude of the sampling reach.

This dataset consist of dissolved oxygen (DO) and temperature data collected using HOBO Dissolved Oxygen loggers (U26-001) under FRDC project 2016-067. Loggers are deployed on strings in two locations in Macquarie Harbour, Tasmania.

Fixed position oxygen and water temperature logger data from the Macquarie Harbour World Heritage Area (WHA). Two Hobo oxygen data loggers are positioned at approximately 15 m depth at different sites within the WHA, with the intent of monitoring representative mid-bottom water oxygen values in the WHA as these were identified in previous studies to be naturally low due to limited seawater exchange at the harbour entrance, and thus likely to be most susceptible to anthropogenic factors that may increase oxygen demand and alter WHA conservation values. These values include core habitat of the Maugean Skate, a listed threatened species. This work is funded by WHA advisory board via the Nature Conservation Branch of DPIPWE and is part of a larger study being conducted by IMAS undertaking a biological baseline study of the biodiversity of the Macquarie Harbour WHA. This data spans 08/11/14 to present (most recent update 02/02/17).

This dataset consist of dissolved oxygen (DO) and temperature data collected using HOBO Dissolved Oxygen loggers (U26-001) under FRDC project 2016-067. Loggers are deployed on strings in two locations in Macquarie Harbour, Tasmania.