Data

Machine learning (ML) models were used to forecast streamflow drought from 1 to 13 weeks into the future at more than 3,000 streamgage locations across the conterminous United States. Long short-term memory [LSTM] neural network models were used to predict weekly streamflow percentiles with independent models for each forecast horizon. In this data release we specifically include an LSTM...

This data release contains predictions of stream biological condition as defined by the Chesapeake basin-wide index of biotic integrity for stream macroinvertebrates (Chessie BIBI) as well as prediction of the percentage of the benthic macroinvertebrate assemblage as 1) Ephemeroptera, Plecoptera, Trichoptera less Hydropsychidae, 2) Ephemeroptera, and 3) Clingers using Random Forest...

This data release contains model output from 640 model simulations of volcanic ash transport during the 26ka Oruanui eruption at Taupo Volcano, New Zealand. The simulations were run as part of a study (Mattin et al., in review) that reports the discovery of Oruanui ash in three ice cores in Antarctica. The simulations helped constrain the set of conditions under which particles of a...

These data were compiled in support of the Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (Post 2026) Environmental Impact Statement (EIS). These data were outputs from models that estimate annual minimum dissolved oxygen and daily water temperature in the Colorado River below Glen Canyon Dam. The objective of our study was to predict water temperatures and...

These data were compiled in support of the Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (Post-2026) Environmental Impact Statement (EIS). These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under...

These data were compiled in support of the Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (Post 2026) Environmental Impact Statement (EIS). Specifically, these data present modeled risks to paleontological and cultural resource preservation based on projected reservoir water level fluctuations between December 2026 and December 2060 within Lake Powell and...

These data were compiled in support of the Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (Post-2026) Environmental Impact Statement (EIS). These data were used to illustrate how six operational strategies (proposed alternatives) for Glen Canyon Dam could affect riparian plant communities along the Colorado River between Glen Canyon Dam and Lake Mead. The...

These data were compiled in support of the Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (Post-2026) Environmental Impact Statement (EIS). These data were compiled to predict the impact of different proposed alternatives for Glen Canyon Dam operations on sand resources, including sand mass balance, sandbar volume, and frequency/duration of controlled...

These data were compiled in support of the Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (Post 2026) Environmental Impact Statement (EIS). These data were outputs from models that estimate annual smallmouth bass entrainment through Glen Canyon Dam and annual smallmouth bass population growth rate (lambda) in the Colorado River below Glen Canyon Dam. The...

These data were compiled in support of the Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (Post-2026) Environmental Impact Statement (EIS). These data were used to illustrate how six operational strategies (one baseline and 5 alternatives) could affect subaerial shoreline exposure and potential dust emissions at the Lake Powell and Lake Mead reservoirs. The...

These data were compiled in support of the Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (Post 2026) Environmental Impact Statement (EIS). These data were used to illustrate how eight operational strategies (one baseline and 5 alternatives) for Glen Canyon Dam could affect sand exposure for aeolian landscape and cultural site resources within Grand Canyon...

This data release includes raster images of pre- and post-wildfire surface soil moisture modeled from Landsat Thermal-infrared and Sentinel-1A synthetic aperture radar for three fires that took place in the state of California (USA) between 2016 and 2017 and associated unburned, control locations for each wildfire. The model was trained and validated using In situ soil moisture data...