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Bartram's Stonecrop (Graptopetalum bartramii) survey data from southern Arizona, 2020-2021 Bartram's Stonecrop (Graptopetalum bartramii) survey data from southern Arizona, 2020-2021
These data were compiled for the U.S. Fish and Wildlife Service to assist them with updating the current status of the species Bartram's Stonecrop (Graptopetalum bartramii). Objective(s) of our study were to survey selected sites within the of Bartram's Stonecrop for future management and protection. These data represent summary population counts at selected known sites for the Federally...
digger: A python package for D-Claw model inputs digger: A python package for D-Claw model inputs
Digger is a python package that provides a number of pre- and post-processing tools for working with the D-Claw model.
Groundwater level trends for 110 U.S. Geological Survey observation wells in the Delaware River Basin Groundwater level trends for 110 U.S. Geological Survey observation wells in the Delaware River Basin
This data release contains groundwater level trend results from 110 U.S. Geological Survey (USGS) observation wells in and near the Delaware River Basin. Mean annual groundwater level elevations from water years 2000-2020 were computed from mean daily recorded groundwater levels and discretely measured groundwater levels. Both time series were analyzed using the Mann-Kendall test for...
Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022 Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022
From October 2017 through September 2022, the National Water Quality Network (NWQN) monitored 110 surface-water river and stream sites and more than 1,800 groundwater wells for a large number of water-quality analytes, for which associated quality-control data and corresponding statistical summaries are included in this data release. The quality-control data—for samples that were...
R code for calculating imperilment of freshwater fish with a Bayesian belief network R code for calculating imperilment of freshwater fish with a Bayesian belief network
This R script is reproduces a Bayesian belief network built within the propriety software program, Netica. The R- and Netica-based belief networks were used in Dunn and Schumann et al. (in press), which presents an approach for calculating imperilment of freshwater fishes.
Hydrologic analysis of flow and transport for the Everglades DPM experiments Hydrologic analysis of flow and transport for the Everglades DPM experiments
Flow and transport of sediment and phosphorus through the low-gradient wetlands of the Everglades, FL were characterized using hydrologic, biological, geomorphic, and biogeochemical data as inputs to several types of simulations. The data were collected in the DPM (Decompartmentalization Physical Model) experimental high-flow facility in the central Everglades, FL. The DPM includes...