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Water Temperature, Dissolved Oxygen, and pH Point Measurements from a Beaver Pond along Fanno Creek, Oregon, on four hot days in summers 2016-17 Water Temperature, Dissolved Oxygen, and pH Point Measurements from a Beaver Pond along Fanno Creek, Oregon, on four hot days in summers 2016-17
Water-quality point measurements were collected at various depths throughout a beaver pond along Fanno Creek in the Tualatin River Basin, Oregon. Parameters collected include water temperature, dissolved oxygen, and sometimes pH. All data were collected over a short period of time ( 4 hours) during 4 hot days in order to characterize the spatial (both horizontal and vertical) variability...
Combined wildfire datasets for the United States and certain territories, 1878-2019 Combined wildfire datasets for the United States and certain territories, 1878-2019
This dataset is comprised of four different zip files. Zip File 1: A combined wildfire polygon dataset ranging in years from 1878-2019 (142 years) that was created by merging and dissolving fire information from 12 different original wildfire datasets to create one of the most comprehensive wildfire datasets available. Attributes describing fires that were reported in the various source...
Chemical and biological data from acute and chronic nickel and zinc exposure bioassays to two sensitive freshwater benthic invertebrates Chemical and biological data from acute and chronic nickel and zinc exposure bioassays to two sensitive freshwater benthic invertebrates
The responses (survival, growth, and/or reproduction) of test organisms in six concentrations of toxicants in acute and chronic tests. Chemical and water quality parameters were measured for quality assurance and quality control purposes.
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Understanding how data are used across the scientific community provides many benefits to data authors, including building a better awareness and comprehension of 1) a dataset's scientific impact, 2) use cases to direct future versions, and 3) related efforts. Effectively tracking when and how data are used in the literature through time can be challenging. This is in part due to a lack...
Data used to describe hydrogeologic units and create contour maps and cross sections of the Boone and Roubidoux Aquifers, northeastern Oklahoma Data used to describe hydrogeologic units and create contour maps and cross sections of the Boone and Roubidoux Aquifers, northeastern Oklahoma
The Ozark Plateau aquifer system stretches across approximately 70,000 square miles (mi2) of Arkansas, Missouri, Kansas and Oklahoma, and is composed of many hydrogeologic units, such as the Boone aquifer and the Roubidoux aquifer. However, this data release is focused on only 11,000 mi2 in northern Arkansas, southeastern Kansas, southwestern Missouri, and northeastern Oklahoma. The...
Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity - including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations - across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because...