Data

The Everglades Vulnerability Analysis (EVA) is a series of connected, modular Bayesian networks that predict the response of several Everglades indicators of ecosystem health to changes in hydrology, salinity, and the landscape. EVA produces spatial explicit model outputs, and we created and compiled shapefiles to: 1) delineate boundaries that are relevant to the EVA project and 2)...

This release contains data from acceleration data logger (ADL) float packages designed to 'pop-off' in a set amount of time for recovery and platform terminal transmitter (PTT) satellite tags attached to 12 Kemp's ridley (Lepidochelys kempii) and 7 Loggerhead (Caretta caretta) turtles in several geographic locations, using the methods of Hart et al., 2013. These instrument packages...

Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of...

Exotic annual grasses [EAG] are one of the most damaging biological stressors in western North America. Despite numerous environmental and societal impacts associated with EAG there remains a need to enhance regional monitoring capabilities to better guide management and conservation efforts. Here we provide estimates of historic and potential future trends in EAG abundance that were...

Contemporary climate change in Alaska has resulted in amplified rates of press and pulse disturbances that drive ecosystem change with significant consequences for socio-environmental systems. Despite the vulnerability of Arctic and boreal landscapes to change, little has been done to characterize landscape change and associated drivers across northern high-latitude ecosystems. Here we

Datasets contain vertical land motion (VLM) rates (land uplift and subsidence) derived from Sentinel-1 A/B satellites between 2015 and 2023 for the Alaska coastline. Files are available as csv files.

This data release consists of flood hazard maps from compound coastal hazards--specifically sea-level rise (SLR) and projected coastal storms. Products include projected flood depths, flood extents including uncertainties, water elevations, wave heights, velocity hazard, and erosion and sedimentation pattern. These are generated using a suite of numerical models driven by outputs from...

Phenological correction of pre- and post-fire imagery is used to improve remotely-sensed burn severity predictions by standardizing vegetation greenness between image pairs. However, the efficacy of existing methods across diverse fire conditions and scenarios remains underexplored. In this study, we evaluated the impact of phenological offset corrections across various methodological...

This dataset describes the sensitivity (limit of detection and limit of quantification) and specificity (list of species tested against the assays) of two qPCR assays designed to detect the male mitotype of two freshwater mussel species Ortmanniana ligamentina and Cumberlandia monodonta from water samples (eDNA).

Data supporting the journal article titled “Variations in road exposure and traffic volumes in the United States in areas susceptible to landslides.” There have been many efforts in the United States (U.S.) to identify landslide threats for specific roads, but no efforts to examine the entire national road system. We use geospatial tools to estimate the length and percentage of total...

Potential evapotranspiration (PET) and reference evapotranspiration (ETo) are estimated at an approximately 1-kilometer spatial grid and daily time-step from January 1, 2024 to December 31, 2024 for Florida, Alabama, Georgia, South Carolina, and parts of Mississippi, North Carolina, and Tennessee. PET and ETo were computed from solar radiation, meteorological data (min/max temperature...

Potential evapotranspiration (PET) and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-step from January 1, 2024 to December 31, 2024 for the entire State of Florida. PET and ETo were computed from solar radiation, meteorological data (min/max temperature, min...