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Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States
A three-dimensional extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in groundwater across the conterminous United States (CONUS). Nitrate was predicted at a 1-square-kilometer (km) resolution for two drinking water zones, each of variable depth, one for domestic supply and one for public supply. The model used measured nitrate
An updated X-ray diffractogram library of geologic materials An updated X-ray diffractogram library of geologic materials
The X-ray diffraction (XRD) pattern library presented here is intended for qualitative or quantitative mineralogical analysis of geologic materials. The original collection of 169 reference diffractograms was released by Eberl (2003) as a part of RockJock, a USGS program for quantitative analysis of mineralogy, which included patterns of many of the major rock-forming minerals needed to...
Concentration of chemical constituents in lake sediments from selected coring locations on Lake Lanier, Georgia, May 2018 Concentration of chemical constituents in lake sediments from selected coring locations on Lake Lanier, Georgia, May 2018
The data herein were collected in support of a larger study in Gwinnett County, Georgia, on the potential impacts of on-site waste water treatment (septic systems) on Lake Lanier water quality. Until recently, a missing component in this assessment was the inclusion of historical sediment and associated nutrient accumulation data from the lake to place results in a broader context. To...
Water table depth, soil moisture, and meteorological data from Panola Mountain Research Watershed, 2017 - 2020 Water table depth, soil moisture, and meteorological data from Panola Mountain Research Watershed, 2017 - 2020
These data represent time-series of water table depth from nine monitoring wells, soil moisture from three depths at a single monitoring location, and meteorological data from a weather station at the Panola Mountain Research Watershed (PMRW) in Rockdale County Georgia. Water-level data were logged at a 5 minute interval. In total, the data span from April 2017 to April 2020 but some...
Monarch Butterfly patch and landscape data for Wisconsin, 2018-2019 Monarch Butterfly patch and landscape data for Wisconsin, 2018-2019
To ensure habitat restoration efforts are targeted towards areas maximizing monarch population growth, it is important to understand the effects of landscape heterogeneity on monarch occurrence in habitat patches (i.e. grasslands with milkweeds). Over two summers (2018-2019), monarch adults, larvae, and eggs were surveyed at sixty grassland sites in Wisconsin varying in patch size and...
R code: Landscape- and local-level variables associated with monarch breeding occurrence and abundance at patches in Wisconsin grasslands R code: Landscape- and local-level variables associated with monarch breeding occurrence and abundance at patches in Wisconsin grasslands
This code file accompanies a manuscript describing associations of monarch breeding occurrence and abundance with landscape and local characteristics at locations in northern and southern Wisconsin. Context for the study can be obtained from the manuscript (Bruce (nee Harnsberger), A.S., Thogmartin, W.E., Trosen, C., Oberhauser, K., and Gratton, C., In-Press, Landscape- and local- level...