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).

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 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.

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).

These data include field observations from Northern Gulf of Mexico research surveys, as well as 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, as well as hydrodynamic and water quality model data generated by the Coastal Generalized Ecosystem Model (CGEM) between 2003-2007.

This dataset includes estuarine water physical (salinity, temperature, water depth) and chemical parameters (total dissolved inorganic carbon, total alkalinity, pH on total scale observed at 25˚C, dissolved oxygen concentration, ammonia, soluble reactive phosphate and silicate) in the semiarid Corpus Christi Bay, the northwestern Gulf of Mexico. The sample collections were done in June-August 2015 and June-September 2016. This dataset is described in the submitted article "Characteristics of the Carbonate System in a Semi-Arid Estuary that Experiences Summertime Hypoxia" by Melissa R. McCutcheon, Cory J. Staryk, Xinping Hu (https://doi.org/10.1007/s12237-019-00588-0) in the Journal Estuaries and Coasts.

These are the data hosted by Rhode Island Department of Environmental Management and are from a network of monitoring buoys in Narragansett Bay. The dataset inlcudes high frequency measurements of pH, dissolved oxygen, temperature, salinity, and chlorophyll a. This dataset is associated with the following publication: Wang, H., D.L. Codiga, H. Stoffel, C. Oviatt, K. Huizenga, and J. Grear. Effect of nutrient reductions on dissolved oxygen and pH: a case study of Narragansett Bay. Frontiers in Marine Science. Frontiers, Lausanne, SWITZERLAND, 11: 1374873, (2024).

To assess the distribution, frequency, and global extent of riverine hypoxia, we compiled 118 million paired dissolved oxygen (DO) and water temperature measurements from 125,158 unique locations in rivers in 93 countries and territories across the globe. The dataset also includes site characteristics derived from StreamCat, the National Hydrography and HydroAtlas datasets and proximal land cover derived from MODIS-based IGBP land cover types compiled using Google Earth Engine (GEE).