UAV flights were conducted between August 26, 2024, and September 1, 2024, at and around the Rocky Mountain Biological Laboratory in the East River Valley, Gothic, Colorado, USA (38°57′ N, 106°59′ W; approximately 2900 m elevation). The study area included marmot colonies located in two core zones,

This data package includes hourly meteorological and soil sensor data at eight ecohydrology monitoring sites in East River Watershed, Colorado as part of the Watershed Function Scientific Focus Area (WFSFA) research led by Lawrence Berkeley National Lab (LBNL). Four field sites were located on the h

UAV flights were conducted between August 26, 2024, and September 1, 2024, at and around the Rocky Mountain Biological Laboratory in the East River Valley, Gothic, Colorado, USA (38°57′ N, 106°59′ W; approximately 2900 m elevation). The study area included marmot colonies located in two core zones,

This dataset represents field observations of vegetation samples collected as part of the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Samples were collected in the field using tablet computers and digital forms, with target data differing by sample type (i

Surface grids of the snow, ground, and vegetation surfaces derived from the six terrestrial scanning lidars that were deployed on three flux towers near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The data were collected to support the analysis of snow depth, snow surface var

This dataset contains Leaf Area Index (LAI) measurements made as part of the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Data were collected in the Upper Gunnison Basin, Colorado, across three study domains: the Upper East River (CRBU), Almont Triangle (AL

Raw point clouds from the terrestrial scanning lidar #1 (L1) that was deployed on the upwind east flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va

Raw point clouds from the terrestrial scanning lidar #2 (L2) that was deployed on the upwind east flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va

Raw point clouds from the terrestrial scanning lidar #3 (L3) that was deployed on the upwind west flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va

Raw point clouds from the terrestrial scanning lidar #4 (L4) that was deployed on the upwind west flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va

Raw point clouds from the terrestrial scanning lidar #6 (L6) that was deployed on the downwind flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to valua

Raw point clouds from the terrestrial scanning lidar #5 (L5) that was deployed on the downwind flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to valua

This dataset represents geolocation data associated with field observations and sampling from the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Location data were collected using Trimble DA2 Global Navigation Satellite System (GNSS) receivers with Trimble Ca

A regression-based analysis quantifies how basin characteristics modulate the snow-to-streamflow signal. First, we use the ERA5-Land reanalysis gridded product (European Centre for Medium Range Weather Forecasts reanalysis 5 -Land component) for 4,655 hydrologic unit code - 10 (HUC10) mountain basin

This data package contains surface water chemistry measurements collected in 2025 to evaluate how beaver damming and low-tech process-based stream restoration influence water quality and metal mobility in mountainous headwater systems of the Upper Colorado River Basin. Sampling was conducted at Trai

These data were compiled for monitoring riparian zone trends and changes in the Navajo Nation as part of a study to document riparian ecosystem health and its water use in support of potential restoration efforts. The objective of our study was to monitor the short and medium-term effects on the rip

By migrating, ungulates take advantage of cyclical fluctuations in resources, which allows them to persist at greater population numbers than they would in the absence of these seasonal movements. We sought to identify the drivers of spring elk (Cervus canadensis) migration and evaluate how well ind

These data were compiled for monitoring riparian zone trends and changes in the Navajo Nation as part of a study to document riparian ecosystem health and its water use in support of potential restoration efforts. The objective of our study was to monitor the short and medium-term effects on the rip

By migrating, ungulates take advantage of cyclical fluctuations in resources, which allows them to persist at greater population numbers than they would in the absence of these seasonal movements. We sought to identify the drivers of spring elk (Cervus canadensis) migration and evaluate how well ind

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/eguspher