This dataset includes discrete water quality and discharge data for three streams running through wetlands. Each location has two sites: one upstream from the wetland and one downstream from the wetland. Measurements were taken in 2010 and 2011 at West Twin Creek, AK; in 2019 and 2020 at Allequash Creek, WI; and in 2013, 2014, and 2017 at the Big Thompson River, CO. The upstream and downstream data from Allequash Creek and the Big Thompson River are from established USGS sites. At Allequash Creek, the downstream site is USGS 05357206 Allequash Creek Site No. 3 Nr Boulder Junction, WI, and the upstream site is USGS 5357205 Allequash Creek Near Sayner, WI. At the Big Thompson River, the downstream site is 402114105350101 Big Thompson Bl Moraine Park Nr Estes Park, CO, and the upstream site is USGS 402123105370401 Big Thompson R Nr Fern Lake Road, RMNP, CO. All measurements were recorded over water years (October 1 - September 30). Some of these data are also available in the National Water Information System by the United States Geological Survey, but are included here for dataset completeness. The overlapping data includes discharge at the Allequash Creek downstream gage and the Big Thompson River downstream gage, and specific conductivity at the Allequash Creek downstream gage, the Big Thompson River downstream gage, and the Big Thompson River upstream gage.

This data set is a compilation of discrete and high frequency water quality data from sites on Allequash Creek in Wisconsin, and within the Allequash Creek watershed, for the water years (WY) 2019-2021.

This data set is a compilation of discrete and high frequency water quality data from sites on Allequash Creek in Wisconsin, and within the Allequash Creek watershed, for the water years (WY) 2019-2021.

This dataset includes discrete water quality data and sensor data from 2009-2017 for Beaver Creek above Victoria Creek and West Twin Creek in Alaska.

This dataset includes discrete water quality data and sensor data from 2009-2017 for Beaver Creek above Victoria Creek and West Twin Creek in Alaska.

The data set contains temporal chloride concentrations (mg/L) and specific conductance (uS/cm) values for 32 wetlands and groundwater monitoring wells as well as the date(s) sampled and the laboratory where the water quality analyses were conducted. The ratio of chloride concentration to specific conductance is referred to as the Contamination Index. In this region, values greater than 0.035 are used to identify water quality samples that are contaminated with co-produced water from energy development.

The data set contains temporal chloride concentrations (mg/L) and specific conductance (uS/cm) values for 32 wetlands and groundwater monitoring wells as well as the date(s) sampled and the laboratory where the water quality analyses were conducted. The ratio of chloride concentration to specific conductance is referred to as the Contamination Index. In this region, values greater than 0.035 are used to identify water quality samples that are contaminated with co-produced water from energy development.

For about 10 years, the U.S. Geological Survey (USGS) has monitored water quality and streamflow in three agricultural drainage ditches in an effort to evaluate the influence of best management practices on water quality. These ditches are small tributaries to oxbow lakes located in the Mississippi Alluvial Plain of northwestern Mississippi--two sites (LWSR and LWT2) drain to Lake Washington and one site (BLT1) drains to Bee Lake. Streamflow was intermittent at these sites and the ditches were dry much of the year. When streamflow was present, flows were measured on 15-minute intervals and water-quality samples were collected over the course of the flow event using an automated sampler. These datasets were aggregated by flow event and include various flow statistics (mean flow, peak flow, total flow volume, and event duration), flow-weighted mean concentration (total constituent load divided by total flow volume) and total constituent load for each flow event. The water-quality constituents include total nitrogen, organic nitrogen, ammonia, ammonia plus organic nitrogen (total Kjeldahl nitrogen), nitrate plus nitrite, total phosphorus, organic carbon, chloride and suspended sediment; USGS parameter codes 00600, 00605, 00610, 00625, 00630, 00665, 00680, 99220, and 80154. All samples were unfiltered. Data were collected from approximately 2007-2016, depending on the site.

For about 10 years, the U.S. Geological Survey (USGS) has monitored water quality and streamflow in three agricultural drainage ditches in an effort to evaluate the influence of best management practices on water quality. These ditches are small tributaries to oxbow lakes located in the Mississippi Alluvial Plain of northwestern Mississippi--two sites (LWSR and LWT2) drain to Lake Washington and one site (BLT1) drains to Bee Lake. Streamflow was intermittent at these sites and the ditches were dry much of the year. When streamflow was present, flows were measured on 15-minute intervals and water-quality samples were collected over the course of the flow event using an automated sampler. These datasets were aggregated by flow event and include various flow statistics (mean flow, peak flow, total flow volume, and event duration), flow-weighted mean concentration (total constituent load divided by total flow volume) and total constituent load for each flow event. The water-quality constituents include total nitrogen, organic nitrogen, ammonia, ammonia plus organic nitrogen (total Kjeldahl nitrogen), nitrate plus nitrite, total phosphorus, organic carbon, chloride and suspended sediment; USGS parameter codes 00600, 00605, 00610, 00625, 00630, 00665, 00680, 99220, and 80154. All samples were unfiltered. Data were collected from approximately 2007-2016, depending on the site.

This U.S. Geological Survey (USGS) Data Release provides continuously measured water-quality data collected from four Indian Creek sites in Johnson County, Kansas during July 22-25, 2014 and August 21-27, 2015. Water-quality monitors were used to measure water temperature, dissolved oxygen, pH, specific conductance, turbidity, chlorophyll, phycocyanin, and nitrate at fifteen-minute intervals. This data release was produced in compliance with the federal open-data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. This dataset includes all continuously-measured data collected at short-term fixed site locations as part of a study to describe the spatiotemporal variability of nutrients in Indian Creek.