Data

Riparian systems across the southwestern United States are immensely important ecosystems and serve as biodiversity hotspots for a number of plant and animal species. However, recent challenges including non-native vegetation expansion, increased wildfire activity, and widespread vegetation die-offs, have substantially impacted the conditions of these ecosystems. This study was...

Riparian systems across the southwestern United States are immensely important ecosystems and serve as biodiversity hotspots for a number of plant and animal species. However, recent challenges including non-native vegetation expansion, increased wildfire activity, and widespread vegetation die-offs, have substantially impacted the conditions of these ecosystems. This study was...

Data supporting the journal article titled "Influence of modeling assumptions on pedestrian evacuation success for non-eruptive lahar hazards at Mount Rainier, Washington" as described in the abstract: Previous efforts to characterize lahar threats posed to communities downstream of volcanoes have focused primarily on delineating hazard zones that lack information on lahar-arrival times...

This dataset contains a 6‑class soils map (30-meter) for the Los Planes basin in Baja California Sur, Mexico. The map was generated using a digital soil mapping approach that incorporates environmental covariables following the SCORPAN (soil, climate, organisms, topography, parent material, age, and time) framework. The data release also includes a point feature class representing...

Mercury pollution is a concern in aquatic environments where it binds to particles, is methylated, and bioaccumulates in food webs. In systems like San Francisco Bay that have a history of mercury contamination from mining, gold extraction, and industrial activity, tracking mercury in surface waters is critical. We developed the Mercury Mapping and Assessment Pipeline (HgMAP), a novel...

Ground-based field monitoring meteorological stations are used to collect real-time weather and environmental data. Data parameters range from weather variables (i.e., precipitation, wind speed and direction, air temperature, relative humidity, dew point), to environmental variables (i.e., solar radiation, air density, soil conductivity), to station status data (i.e., battery voltage...

Mercury is a prevalent pollutant and neurotoxin in south San Francisco Bay that forms strong associations with suspended sediments and dissolved organics. Changes in surface water mercury levels have implications for water quality and scale via bioaccumulation to toxicity on higher trophic levels. This dataset includes GeoTIFF raster maps of estimations of surface water mercury...

The data release contains spatial data sets in raster and vector formats that are used to quantify, analyze and visualize recent fire regimes for the Mogollon Rim-Colorado Plateau (also called the Mogollon Highlands), the Sky Islands, or Madrean Archipelago and the Northern Sierra Madre Occidental regions of the United States and Mexico. The data were generated as part of the Southwest...

These digital elevation models of difference (DEMs of Difference, or DoDs) display topographic change from the targeted stream channel at a controlled watershed #4 and study watershed #1 within the larger Los Planes Watershed.The DoDs are computed from a very-high resolution drone DEM surveyed in 2024 and aerial lidar DEM from 2021.Several processing steps were taken to align DEMs and...

Alluvial wetland ecosystems, such as the Cebolla Creek spring-fed wetland in east-central New Mexico, serve as biodiversity hotspots and directly affect processes such as water cycling and carbon sequestration. However, these systems are highly vulnerable to degradation because of drought, groundwater pumping, and channel incision. The "Zeedyk" approach for restoration employs methods...

This dataset includes raster images of trends in normalized difference vegetation index (NDVI) derived from Sentinel-2 imagery for riparian vegetation within the Los Planes watershed of Baja California Sur, Mexico. A model was first trained to identify riparian vegetation using cloud-masked Sentinel-2 imagery from 2016-2024 and stream delineations derived from a 10m Japanese Aerospace...

Ciénegas are wetlands in arid and semi-arid regions of North America. We quantified changes in ciénega condition and floodplain dynamics using the detailed boundaries of 31 ciénegas and their respective controls.This data release is a series of four data collections consisting of 68 tabular data files (.csv) that include the following: (i) “i_Cienega_Timeseries_CSVs.zip” data collection...