Data

This dataset contains projected distributions for six non-native invasive tree and shrub species—autumn olive, bush honeysuckles, Callery pear, princess tree, privet, and tree-of-heaven—under four climate change scenarios, provided as ASCII (ASC) raster grids. Species distribution models were fitted using MaxEnt (Maximum Entropy) with occurrence data from EDDMapS and FIA and seven...

This dataset is a collection of TIFF file outputs from the forest dynamic model LANDIS PRO representing projections of the density and basal area for six invasive tree/shrub species under current climate conditions (avaraged from 1980-2009) in the Ozark region of the U.S. Midwest for the year 2050. The six species included in this study are autumn olive, bush honeysuckles, Callery pear...

This dataset compiles spatial occurrence and demographic information for six non-native invasive tree and shrub species—autumn olive, bush honeysuckles, Callery pear, princess tree, privet, and tree-of-heaven—across the eastern United States from 2000 to 2020. Occurrence points were obtained from the Early Detection and Distribution Mapping System (EDDMapS), and plot-level observations...

This dataset provides high spatial resolution (30 m) raster products of Suspended Particulate Matter (SPM) for the Northeastern United States over the past two decades (2000–2020). The product is derived from Landsat 5–8 using a particle composition-adaptive SPM retrieval algorithm (Teng et al., 2025) and is designed to resolve fine-scale coastal sediment dynamics that are not well...

These data are forest stand structure observations for high elevation red spruce and northern hardwood forest communities in the central Appalachians of Maryland, Virginia and West Virginia associated with known Virginia northern flying squirrel (Glaucomys sabrinus fuscus) presence points and user generated random points. Data were extracted from U.S. Forest Service TreeMap spatial model...

Data from high frequency sampling of multiple carbon forms were collected in a predominately rain-fed watershed in Southeast Alaska during the main run-off season (May-October 2021). The dataset includes hourly measurements of stream temperature, specific conductivity, turbidity, and fluorescent dissolved organic matter, point samples of dissolved organic carbon (DOC), alkalinity...

In 2005, a silvicultural restoration study was implemented to observe the response of individual red spruce to various percent basal area (BA; m2) removal treatments of competing hardwood species. These treatments consisted of four different basal area removals: control was 0 percent, low was about 33 percent, medium was about 67 percent, and high was about 100 percent around individual...

These data comprise the results of an analysis to 1. develop freshwater fish and mussel models using survey occurrence data, land use data, stream flow data, and stream temperature data within the Northeast United states, 2. predict the impacts of climate change on vulnerable groups of freshwater fish and mussel species, and 3. assess the potential for different management interventions...

The Coquí Llanero (Eleutherodactylus juanariveroi) is one of twelve remaining species of Eleutherodactylus frogs endemic to Puerto Rico. They are known only from three isolated populations separated from each other by ~30 km: Caño Tiburones, Arecibo; Sabana Seca, Toa Baja, and Carolina. These frogs are cultural icons and hold prominent roles in the energy flow of the island’s tropical...

This dataset includes data from a study examining the effects of managed disturbance regimes, winter snow depth manipulations, and plant functional traits on plant communities within restored temperates over a seven-year period. The “Treatments.csv” file details the experimental design, which involved eight blocks, each containing four plots. Each plot was subjected to one of four...

This dataset includes the original Precipitation Runoff Modeling System extractions from the USGS, the models that were calibrated to observed historic data, and the Global Circulation Model runs to simulate climate change.

Ecological restoration is essential to meet global biodiversity conservation goals. Given limited conservation budgets, deciding where to restore habitat is a key challenge for the coming decade. This dataset includes optimal restoration sites selected from multiple restoration model scenarios. We developed a modeling approach to maximize conservation benefit/restoration cost ratios to...