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Flow-MER program - Flow-MER Metabolism BASE Model Estimates
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].
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Flow-MER program - Flow-MER metabolism oxygen logger data
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Dissolved oxygen in the water column is a primary input into the calculation of metabolism and respiration (refer Metabolism BASE Model dataset). Data loggers are deployed at multiple locations in the rivers of each of the Flow-MER Area-scale project to measure continuously at 10 minute intervals: * Light * Water temperature * Dissolve oxygen * Atmospheric pressure The data record aims to be continuous over the summer water management period, however there are breaks in the data record due to high water levels preventing data retrieval and equipment losses. There is generally at least one data logger deployed near locations where fish are also sampled. 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). References to the metabolism methods using these oxygen data: 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 oxygen logger data. Flow-MER Program. Commonwealth Environmental Water Holder, Australian Government Department of Climate Change, Energy, the Environment and Water. Sourced from https://data.gov.au/data/dataset/flow-mer-oxygen-logger on [date-sourced].
Flow-MER program - Flow-MER Water Quality Measurements
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Water quality parameters that are measured by field teams at various sampling points within the Murray-Darling Basin on discrete dates as part of the CEWH's Flow-MER program. Includes measures of: * discharge * ecosystem respiration * gross primary productivity * water velocity * chlorophyll a * total nitrogen * nitrate and nitrite * ammonium * total phosphorus * filterable reactive phosphorus * dissolved organic carbon 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). ###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 CEWO (2024) Water Quality Measurements. 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-water-quality on [date-sourced].
Stream metabolism estimates for the Regional Stream Quality Assessments of the National Water Quality Program, 2013 to 2016
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This dataset provides details from stream metabolism models for 20 stream sites in the United States that were sampled as part of the National Water Quality Program's Regional Stream Quality Assessments (RSQA). Metabolism was estimated at each site using the streamMetabolizer package in R. For each of the 20 sites, three files are provided; (1) the input data, which includes continuous dissolved oxygen, water temperature, light, and stream depth, (2) the output data containing the daily metabolism estimates, and (3) a site-specific html 'guide' for running the streamMetabolizer package in R. The site 'short_name' is included in each file name to distinguish the files associated with each field site. Final metabolism models were run using a constant value for K600, the mean reaeration rate coefficient scaled to a Schmidt number of 600, which was determined for each site based on initial model calibration runs. Model input data were downloaded directly from the USGS National Water Information System (NWIS) (dissolved oxygen and temperature) or directly from data loggers deployed in the field (light and depth). 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 ID (SITE_NO), the RSQA study name, the state where the site is located, the site 'short name', the USGS site name, and the decimal degree latitude and longitude of the sampling reach.
Stream metabolism estimates for the Regional Stream Quality Assessments of the National Water Quality Program, 2013 to 2016
공공데이터포털
This dataset provides details from stream metabolism models for 20 stream sites in the United States that were sampled as part of the National Water Quality Program's Regional Stream Quality Assessments (RSQA). Metabolism was estimated at each site using the streamMetabolizer package in R. For each of the 20 sites, three files are provided; (1) the input data, which includes continuous dissolved oxygen, water temperature, light, and stream depth, (2) the output data containing the daily metabolism estimates, and (3) a site-specific html 'guide' for running the streamMetabolizer package in R. The site 'short_name' is included in each file name to distinguish the files associated with each field site. Final metabolism models were run using a constant value for K600, the mean reaeration rate coefficient scaled to a Schmidt number of 600, which was determined for each site based on initial model calibration runs. Model input data were downloaded directly from the USGS National Water Information System (NWIS) (dissolved oxygen and temperature) or directly from data loggers deployed in the field (light and depth). 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 ID (SITE_NO), the RSQA study name, the state where the site is located, the site 'short name', the USGS site name, and the decimal degree latitude and longitude of the sampling reach.
Flow-MER program - Flow-MER Vegetation Species Abundance
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Ground storey vegetation species cover data (species x percent cover) collected as part of the Commonwealth Environmental Water Holder (CEWH) Flow-MER program in the Murray-Darling Basin. 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). ###Acknowledgement The Commonwealth Environmental Water Office 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. Data provided by Flow-MER program Selected Area teams: Junction of the Warrego and Darling Rivers and Gwydir river system (University of New England), Lachlan river system (University of Canberra), Murrumbidgee river system (Charles Sturt University), Edward/Kolety-Wakool river system (Charles Sturt University), Goulburn River (Arthur Rylah Institute). ###Citation CEWH (2024) Vegetation Species Abundance. Flow-MER Program. Commonwealth Environmental Water Holder, Australian Government Department of Climate Change, Energy, the Environment and Water. Sourced from https://data.gov.au/data/dataset/flow-mer-vegetation-species-abundance on [date-sourced].
Stream metabolism estimated from dissolved oxygen data in Connecticut streams, 2015-18
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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.
Commonwealth Environmental Water Holder - Flow-MER Lower Murray River salt and nutrient export (loads and concentrations)
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Water quality parameters expressed as concentrations as the total export from the Murray-Darling Basin contained within all water sources (total combined natural flows plus managed environmental water). Data are collected to calibrate transport models by the Lower-Murray Selected Area for as part of the Commonwealth Environmental Water Holder's (CEWH) Flow-MER program. Total daily concentrations for: * Salinity (practical salinity units) * Phosphate * Particulate Organic Phosphorus * Ammonium * Particulate Organic Nitrogen * Dissolved Silica * Chlorophyll a 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). ###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) Flow-MER Lower Murray salt and nutrient export (loads/concentrations), Flow-MER Program. Commonwealth Environmental Water Office, Australian Government Department of Climate Change, Energy, the Environment and Water. Sourced from https://data.gov.au/data/dataset/flow-mer-lower-murray-salt-and-nutrient-export on [date-sourced].
Metabolism estimates for 356 U.S. rivers (2007-2017): 2b. Site catchment boundaries
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This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.
Metabolism estimates for 356 U.S. rivers (2007-2017): 2b. Site catchment boundaries
공공데이터포털
This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.
Metabolism estimates for 356 U.S. rivers (2007-2017): 4. Model inputs
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This dataset provides input data formatted for use in estimating metabolism. The format is tables of prepared time series inputs (1 tab-delimited file per site, in 1 zip file per site). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.
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