This dataset provides model output and post-processed analysis of model data used in the manuscript: "Measuring and Modeling Diel Oxygen Dynamics in a Shallow Hypereutrophic Estuary: Implications of Low Oxygen Exposure on Aquatic Life." Post-processed data are available for each figure or categorical analysis as described in the filename. All relevant metadata and descriptive headers are provided within each data file.

This data file contains the entire dataset applied to the analysis of biophysical effects on diel-cycling hypoxia in Pensacola Bay. Data include continuous water quality, wind, water level, discharge, irradiance, continuous depth profile water quality, and bathymetric data used for generation of figures and tables. Data are stored in an open source NETCDF data structure, and contain all descriptive column headers necessary to access and understand the data.

These data include field observations from Northern Gulf of Mexico research surveys from numerous research organizations between 1985 through 2015. Data also include hydrodynamic and water quality model data generated by the Coastal Generalized Ecosystem Model (CGEM) between 2003-2007.

These data include field observations from Northern Gulf of Mexico research surveys from numerous research organizations between 1985 through 2015. Data also include hydrodynamic and water quality model data generated by the Coastal Generalized Ecosystem Model (CGEM) between 2003-2007.

Data provided here include WASP input files and simulation outputs (Dissolved Oxygen (mg/l) and Phytoplankton (ug chl a/L). Simulation Outputs for base case year as well as scenario testing for changes in nutrient loads. Observed Data are also provided for sites of interest including sonde (15 min) and grab samples (depth profile). This dataset is associated with the following publication: Knightes, C. Simulating Hypoxia in a New England Estuary: WASP8 Advanced Eutrophication Module (Narragansett Bay, RI, USA). WATER. MDPI, Basel, SWITZERLAND, 15(6): 1204, (2023).

Data provided here include WASP input files and simulation outputs (Dissolved Oxygen (mg/l) and Phytoplankton (ug chl a/L). Simulation Outputs for base case year as well as scenario testing for changes in nutrient loads. Observed Data are also provided for sites of interest including sonde (15 min) and grab samples (depth profile). This dataset is associated with the following publication: Knightes, C. Simulating Hypoxia in a New England Estuary: WASP8 Advanced Eutrophication Module (Narragansett Bay, RI, USA). WATER. MDPI, Basel, SWITZERLAND, 15(6): 1204, (2023).

Data for manuscript titled, "Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system". The data is organized by figure. Abstract: Vertical density stratification often plays an important role in the formation and expansion of coastal hypoxic zones through its effect on near-bed circulation. However, the impact of future climate change on estuarine circulation and hypoxia is widely unknown. Here, we developed and calibrated a three-dimensional hydrodynamic model for Pensacola Bay, a shallow subtropical estuary in the northeastern Gulf of Mexico. Hindcast simulations for 2013 – 2017 were applied to examine changes in salinity, temperature, and density distribution under future climate scenarios, including increased radiative forcing (IR), temperature (T), freshwater discharge (D), sea-level (SLR), and wind (W). Simulations showed that the impacts of climate change on modeled state variables varied over time with external forcing conditions. The model demonstrated the potential for sea-level rise (+0.48 m) and increased freshwater discharge (110%) to episodically increase vertical density gradients in the Bay. However, increased wind forcing (150%) destabilized vertical gradients, reducing the spatial extent and duration of strong stratification. For example, from March – June 2014 total area, wherein the bottom to surface density difference (Δσt) exceeded16 kg m-3, decreased by 33% (8.5 km^2) for the climate change (T+D+SLR+W) model. Wavelet coherence analysis revealed that the greatest differences in temperature and salinity between Base and T+D+SLR+W models occurred at hourly to daily timescales and primarily impacted the bottom layer. Results from this study suggest decreased density stratification and bottom temperature due to enhanced wind mixing and saltwater intrusion may mitigate future expansion of summertime hypoxia due to climate change. This dataset is associated with the following publication: Duvall, M., B. Jarvis, and Y. Wan. Impacts of climate change on estuarine stratification and implications for hypoxia within a shallow subtropical system. Estuarine Coastal and Shelf Science. Elsevier Science Ltd, New York, NY, USA, 279: 14, (2022).

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 dataset is a collection of three spreadsheets with data that went in to the manuscript associated with this record. "Pensacola Mid Bay WQM Master_11.2023.xlsx" are data collected from Pensacola Bay, FL in 2017 and include continuous Water Quality Monitoring data from two sites in the mid-bay region of the estuary and dates when benthic surveys occurred. "Pensacola Mid Bay Environmental Data_11.2023.xlsx" are discrete water quality and sediment quality data collected from Pensacola Bay in 2016-2017. "Pensacola Mid Bay Bugs Master_11.2023.xlsx" are macrobenthic ("bugs") community data collected from Pensacola Bay in 2016-2017 and the condition index calculations and scores. Metadata are provided as separate tabs in the spreadsheets. This dataset is associated with the following publication: Paul, J., J. Nestlerode, and B. Jarvis. Timescales of Benthic Macrofaunal Response to Diel and Episodic Low Oxygen in a Subtropical Estuary. Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 47(6): 1376-1387, (2024).