Data

We simulated a 3-hour, 1-km spatially seamless surface soil moisture (SSM) dataset (called STF_SSM) in the Contiguous United States (CONUS) using a virtual image pair-based spatio-temporal fusion method. This proposed approach effectively fuses the distinct advantages of two long-term SSM datasets, namely, the Soil Moisture Active Passive (SMAP) L4 SSM product and the Crop Condition and...

Tree loss is increasing rapidly due to drought- and heat-related mortality and intensifying fire activity. Consequently, the fate of many forests depends on the ability of juvenile trees to withstand heightened climate and disturbance anomalies. Extreme climatic events, such as droughts and heatwaves, are increasing in frequency and severity, and trees in mountainous regions must contend...

Defining a realized niche using key habitat components like temperature, water clarity, and dissolved oxygen (DO) is important to understanding how distributions and demographics of freshwater fish populations may respond to environmental changes. However, habitat preferences are often defined in a laboratory setting and may not accurately reflect preferred habitat in nature. To define a...

Development of this research design attempted to help understand the effects of differing cultural cultivation techniques of sourberry shrubs (Rhus aromatica) for basketry material in Mariposa County. With the permission of Chairman Ron Goode, a randomized complete block design experiment was implemented in a old growth sourberry stand to assess quantitative measures of basketry...

Reports of negative interactions between humans and bears in Maryland have increased steadily since the 1990s, requiring substantial investments of time and resources for their management. While managers typically possess a strong understanding of the spatial distribution of current and historical interactions, they lack the quantitative tools necessary to predict where future...

These datasets include the components of and results from the Rarity and Climate Sensitivity Index (RCS) and occurrence records used to calculate the index for 29 stream fishes native to the Pacific Northwest (Washington, Idaho, Oregon) of the United States. The RCS is an index that ranks species’ intrinsic sensitivity to climate change based on their area of occurrence and climate niche...

An assessment of the adaptive capacity of the NCSO Fisher (Pekania pennanti) that uses 37 factors, grouped by related characteristics: distribution, movement, evolutionary potential, ecological role, abiotic niche, life history, and demography. For each factor, species can be evaluated on a simple “low–moderate–high” scale, with criteria designed to accommodate either quantitative or...

Data includes monthly-average projected changes to climate for a 23-member ensemble of CMIP6 SSP2-4.5 GCMs downscaled using NASA’s Land Information System. Average snow outputs are generated using these climate projections for 20-year periods between 2016 and 2095. More information on this data, and comparisons versus various community snow projections in mountainous regions can be found...

The dataset consists of projections of 1-12 months Standardized Precipitation Evapotranspiration Index (SPEI) between 1950-2099 for the contiguous United States from 20 climate models and 2 emission scenarios at a 4km spatial resolution. The SPEI dataset was developed using the SPEI package in R (Beguería & Vicente-Serrano, 2023). SPEI quantifies standardized departures in the balance...

This dataset contains air and water temperature data recorded at multiple shoreline sites on five islands within Boston Harbor, MA USA over the period April - August, 2023. This data was collected using Onset HOBO U-22 temperature loggers that were deployed across 5 islands: Gallops, Georges, Lovell, Peddocks, and Thompson Island. The dataset contains the island name, site designation...

This dataset provides estimated daily ice cover fractions for 107,257 lakes across the Northern Hemisphere from 1980 to 2022. The ice cover fractions were generated using a deep learning model trained on Landsat observations. The model's code is publicly available in the USGS GitLab repository: https://doi.org/10.5066/P13ZGUGE. The dataset consists of 42 CSV files, each corresponding to...

This dataset contains the accumulated stream survey data collected to identify climate impacts to fish communities and assess stream restoration as a potential climate-change mitigation action across the Great Plains and High Desert of Wyoming and Montana (2021-2024). We also provide data of incidental observations of amphibians, reptiles, crayfishes, and mussels seen while conducting...