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Data used to model and map manganese in the Northern Atlantic Coastal Plain aquifer system, eastern USA Data used to model and map manganese concentrations in groundwater in the Northern Atlantic Coastal Plain (NACP) aquifer system, eastern USA, are documented in this data release. The model predicts manganese concentration within four classes and is based on concentration data from 4492 wells. The well data were compiled from U.S. Geological Survey, U.S. Environmental Protection Agency, Suffolk County Water Authority (Suffolk County, New York), and state agency sources. The four concentration classes are based on guidelines for drinking water quality: below detection (class 1, less than 10 micrograms per liter (ug/L)); detected but less than the aesthetic guideline of 50 ug/L (class 2); greater than the aesthetic... Categories: Data; Tags: Aquia aquifer, Delaware, Delmarva Peninsula, Geochemistry, Hydrology, All tags... Long Island, Lower Chesapeake aquifer, Magothy aquifer, Maryland, Matawan aquifer, Monmouth - Mt. Laurel aquifer, NAWQA, New Jersey, New York, North Carolina, Northern Atlantic Coastal Plain aquifer system, Piney Point aquifer, Potomac - Patapsco aquifer, Potomac - Patuxent aquifer, Surficial aquifer, USGS Science Data Catalog (SDC), Upper Chesapeake aquifer, Virginia, Water Quality, Water Resources, XGboost, class imbalance, groundwater quality, machine learning, manganese, regional groundwater quality, Fewer tags Data used to model and map pH and redox conditions in the Northern Atlantic Coastal Plain aquifer system, eastern USA Data used to model and map pH and redox conditions in groundwater in the Northern Atlantic Coastal Plain aquifer system, eastern USA, are documented in this data release. The models use as input data measurements of pH and dissolved oxygen concentrations at about 3000 to 5000 wells, which were compiled primarily from U.S. Geological Survey and U.S. Environmental Protection Agency databases. The boosted regression trees machine learning method was used to build the models. Explanatory variables (predictors) describe geology, hydrology, chemistry, physical characteristics, anthropogenic influence, metrics from a groundwater flow model, and groundwater residence times in the aquifer system. Data for four models are... Categories: Data; Tags: Aquia aquifer, Cycle 3, Delaware, Delmarva Peninsula, Environmental Health, All tags... Hydrology, Long Island, Lower Chesapeake aquifer, Magothy aquifer, Maryland, Matawan aquifer, Monmouth - Mt. Laurel aquifer, NAWQA, New Jersey, New York, North Carolina, Northern Atlantic Coastal Plain aquifer system, Piney Point aquifer, Potomac - Patapsco aquifer, Potomac - Patuxent aquifer, Surficial aquifer, USGS Science Data Catalog (SDC), Upper Chesapeake aquifer, Virginia, Water Quality, boosted regression trees, groundwater quality, machine learning, pH, redox conditions, regional groundwater quality, Fewer tags