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Cave climate data in Wood Valley pit crater, Hawai'i

Wood Valley Pit Crater is a nearly circular pit approximately 50m across and 50m deep with vertical walls. This pit is of particular interest because it hosts access to a cave entrance at its base, providing an opportunity to monitor cave climate throughout a type of cave structure that is ordinarily inaccessible. In-situ cave climate observations included cold trapping, cave breathing, possible e

Ice cave climate data and frost imagery at Sunset Crater, AZ: 02 March 2021 to 13 December 2022

The purpose of the data collection was to monitor the microclimate in the “Bonito Flow” Ice Cave located in Sunset Crater National Monument. This cave is considered a sacred spot for some southwestern tribes as it was a historical source for ice. The main purpose of the climate monitoring was to determine if the cave is still an active ice cave, i.e., a cave that contains perennial ice. The data a

Postfire erosion estimates for large California wildfires that occurred between 1984 and 2021

This data release presents a compilation of postfire sediment mobilization data from wildfires greater than 100 km2 that occurred in California or regions of southern Oregon that drain to the California coast between 1984 and 2021. This compilation includes three sources of sediment mobilization data: hillslope erosion modeled using the Water Erosion Prediction Project (WEPP) postfire erosion mode

Database for the Geologic Map of the Katmai Volcanic Cluster, Katmai National Park, Alaska

A database of the geologic map of the Katmai Volcanic Cluster as described in the original abstract: This digital publication contains all the geologic map information used to publish U.S. Geological Survey Geologic Investigations Map Series I-2778 (Hildreth and Fierstein, 2003). This is a geologic map of the Katmai volcanic cluster on the Alaska Peninsula (including Mount Katmai, Trident Volcano,

Enhanced Terrain Imagery of the Staunton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Staunton 30 x 60 minute quadrangle in West Virginia and Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2015 and 2021. The data were processed using geographic

Enhanced Terrain Imagery of the Buena Vista 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Buena Vista 30 x 60 minute quadrangle in Virginia and West Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2021. The data were processed using geograph

Enhanced Terrain Imagery of the Front Royal 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Front Royal 30 x 60 minute quadrangle in West Virginia and Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs) and lidar point cloud (LPC). The lidar source data were compiled from different acquisitions published between 2014 and 2021. The data w

High resolution natural color imagery collected by uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 2-mile reach of the Middle Green River at Grays Canyon near Green River, Utah from 2021-2023

The U.S. Geological Survey collected low-altitude airborne natural color imagery via a fixed-wing uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 2-mile reach of the Middle Green River at Grays Canyon near Green River, UT. Visual imagery was collected in jpg format and Structure-from-Motion (SfM) photogrammetry techniques were applied (Over et. al. 2021) using Agis

Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2023

Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2023. Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation

Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2024

Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2024. Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation

Oriental Bittersweet Microbial Communities Across a Post Glacial Successional Gradient at Indiana Dunes National Park, 2017

This data release contains soil and vegetation data collected along a post glacial chronosequence associated with populations of oriental bittersweet (Celastrus orbiculatus) at the Indiana Dunes National Park. The post glacial chronosequence includes sand dunes and moraines, representing a successional gradient from woodland transition, to oak savanna, woodland and forest, to oak hickory forests o

Maps of water depth derived from satellite images of selected reaches of the American, Colorado, and Potomac Rivers acquired in 2020 and 2021 (ver. 2.0, September 2024)

Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i
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