We quantified the effects of dam sediment management operations on downstream salmonid spawning habitat during two fall water-level drawdown periods: an experimental drawdown leading to sediment release or a typical slower drawdown intended to minimize release of sediment. The experimental drawdown increased deposited fine sediment and decreased hyporheic dissolved oxygen levels. However, the typical drawdown did not increase fine sediment deposition or decrease hyporheic dissolved oxygen. We quantify the immediate impacts of dam operations using a number of water column and substrate metrics including total suspended sediment concentration, hyporheic dissolved oxygen concentration, and deposited sediment data from sediment infiltration bags.

These data were compiled to better understand the controls on the magnitude of the metalimnion low dissolved oxygen zone in Lake Powell reservoir. These data represent dissolved oxygen, total suspended sediment, and nutrient data collected during laboratory water and sediment incubations. These data also represent summaries of summertime metalimnion dissolved oxygen concentrations at seven sites in Lake Powell, largely drawing from a pre-existing data release. These data were collected in Lake Powell reservoir, in the inflow regions where the Colorado River and the San Juan River enter Lake Powell, and from the Chinle Wash, which flows into the San Juan River before its confluence with Lake Powell by the U.S. Geological Survey and in collaboration with the Bureau of Reclamation and the National Park Service. These data can be used to quantify dissolved oxygen demand and nutrient transformations in the Lake Powell inflows. These data can also be used to evaluate patterns in summertime metalimnion dissolved oxygen, although we recommend users consult the original data release (Andrews and Deemer 2024) cited herein for this purpose given the more extensive nature of that dataset.

These data were compiled to better understand the controls on the magnitude of the metalimnion low dissolved oxygen zone in Lake Powell reservoir. These data represent dissolved oxygen, total suspended sediment, and nutrient data collected during laboratory water and sediment incubations. These data also represent summaries of summertime metalimnion dissolved oxygen concentrations at seven sites in Lake Powell, largely drawing from a pre-existing data release. These data were collected in Lake Powell reservoir, in the inflow regions where the Colorado River and the San Juan River enter Lake Powell, and from the Chinle Wash, which flows into the San Juan River before its confluence with Lake Powell by the U.S. Geological Survey and in collaboration with the Bureau of Reclamation and the National Park Service. These data can be used to quantify dissolved oxygen demand and nutrient transformations in the Lake Powell inflows. These data can also be used to evaluate patterns in summertime metalimnion dissolved oxygen, although we recommend users consult the original data release (Andrews and Deemer 2024) cited herein for this purpose given the more extensive nature of that dataset.

The primary data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment, and discrete water-quality samples (total nitrogen, total phosphorus, suspended sediment concentration, and suspended sediment sieve diameter) collected during site visits at the USGS streamgage Iroquois River near Foresman, Indiana, April 7, 2015 to July 19, 2018. These continuous and discrete measurements were used to develop a regression model which may be used to compute concentrations and loads of suspended sediment. The secondary data set consists of daily streamflow and daily turbidity values collected continuously by in-situ monitors at Iroquois River near Foresman, Indiana March 20, 2015 to July 19, 2018 which serve as input explanatory variables for the developed regression model to compute suspended sediment at Iroquois River near Foresman. The tertiary data set for March 20, 2015 to July 19, 2018 is the output data set that was developed by application of the regression model and includes the computed daily mean suspended sediment concentration (concentration, upper 95-percent prediction interval, and lower 95-percent prediction interval) and daily mean suspended sediment load (load, upper 95-percent prediction interval, and lower 95-percent prediction interval) estimates.

The primary data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment, and discrete water-quality samples (total nitrogen, total phosphorus, suspended sediment concentration, and suspended sediment sieve diameter) collected during site visits at the USGS streamgage Iroquois River near Foresman, Indiana, April 7, 2015 to July 19, 2018. These continuous and discrete measurements were used to develop a regression model which may be used to compute concentrations and loads of suspended sediment. The secondary data set consists of daily streamflow and daily turbidity values collected continuously by in-situ monitors at Iroquois River near Foresman, Indiana March 20, 2015 to July 19, 2018 which serve as input explanatory variables for the developed regression model to compute suspended sediment at Iroquois River near Foresman. The tertiary data set for March 20, 2015 to July 19, 2018 is the output data set that was developed by application of the regression model and includes the computed daily mean suspended sediment concentration (concentration, upper 95-percent prediction interval, and lower 95-percent prediction interval) and daily mean suspended sediment load (load, upper 95-percent prediction interval, and lower 95-percent prediction interval) estimates.

This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in Upper Klamath Lake which were used to simulate daily maximum pH and daily minimum dissolved oxygen (DO) from May 18th to October 4th in 2005-12 and 2015-19 at four sites, and to evaluate variable effects and their importance. Simulations were not developed for 2013 and 2014 due to a large amount of missing meteorological data. The sites included: 1) Williamson River (WMR), which was located in the northern portion of the lake near the mouth of the Williamson River and had a depth between 0.7 and 2.9 meters; 2) Rattlesnake Point (RPT), which was located near the southern portion of the lake and had a depth between 1.9 and 3.4 meters; 3) Mid-North (MDN), which was located in the northwest portion of the lake and a depth between 2.4 and 4.2 meters; 4) Mid-Trench (MDT) , which was located in the trench that runs along the western portion of the lake and had a depth between 13.2 and 15 meters.

This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in Upper Klamath Lake which were used to simulate daily maximum pH and daily minimum dissolved oxygen (DO) from May 18th to October 4th in 2005-12 and 2015-19 at four sites, and to evaluate variable effects and their importance. Simulations were not developed for 2013 and 2014 due to a large amount of missing meteorological data. The sites included: 1) Williamson River (WMR), which was located in the northern portion of the lake near the mouth of the Williamson River and had a depth between 0.7 and 2.9 meters; 2) Rattlesnake Point (RPT), which was located near the southern portion of the lake and had a depth between 1.9 and 3.4 meters; 3) Mid-North (MDN), which was located in the northwest portion of the lake and a depth between 2.4 and 4.2 meters; 4) Mid-Trench (MDT) , which was located in the trench that runs along the western portion of the lake and had a depth between 13.2 and 15 meters.

Measurements of Dissolved Oxygen (DO) collected at Putah Creek Below Monticello Dam. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

This dataset includes dissolved oxygen data collected at 5-min intervals over a 24-hour period at three agricultural streams: Maple Creek in NE (2004), Morgan Creek in Delaware (2004) and Stalker Creek in Idaho (2007).

This dataset includes dissolved oxygen data collected at 5-min intervals over a 24-hour period at three agricultural streams: Maple Creek in NE (2004), Morgan Creek in Delaware (2004) and Stalker Creek in Idaho (2007).