Data

Rapid heating events, such as heatwaves, are becoming more frequent and intense as a result of climate change. Importantly, such extreme weather events can be more important drivers of extirpation and selection than changes in annual or seasonal averages and they pose a particularly large threat to poikilothermic organisms. In this study, we evaluate the thermal stress response of a...

The Landscape Water Requirement Satisfaction Index (L-WRSI) is an extension of the well-established water requirement satisfaction index (WRSI), which is an indicator of crop performance based on the availability of water to the crop during a growing season, by including the entire landscape and not just crop growing regions. L-WRSI is created using components generated by the VegET...

1. Abstract Landslides are damaging and deadly, and they occur in every U.S. state. However, our current ability to understand landslide hazards at the national scale is limited, in part because spatial data on landslide occurrence across the U.S. varies greatly in quality, accessibility, and extent. Landslide inventories are typically collected and maintained by different agencies and

Landslides hazards pose a serious threat to people and infrastructure in the Federated States of Micronesia (FSM). To develop a comprehensive understanding of the landslides hazards in FSM, the USGS-USAID Landslide Disaster Assistance Team (LDAT) has put together landslide inventories for each state using satellite imagery. Mapping was done using RGB satellite imagery from Maxar, Planet...

This data release provides datasets supporting research on landslides triggered by a series of storms in the San Francisco Bay Area, California, that occurred between December 25, 2022, through January 19, 2023. During this period, eight atmospheric river storms delivered intense and prolonged rainfall across the region, leading to significant hydrological responses and widespread...

In unconsolidated glacial sediments and exhumed bedrock of Minnesota, USA, landslides may occur on low-relief steep slopes generated by post-glacial fluvial network development and drainage of glacial lakes. As part of an investigation to understand the link between various environmental variables, post-glacial landscape development, and a previously mapped landslide inventory, we...

An atmospheric river storm on January 9, 2023, produced widespread landsliding in the Santa Ynez Mountains in Santa Barbara County and Ventura County, California (USA). Landslides occurred in the footprint of the 2008 Tea Fire, 2009 Jesusita Fire, 2017 Thomas Fire, and 2019 Cave Fire, as well as in areas that had not burned in more than 15 years. Most of these landslides were shallow...

We present an inventory of 346 landslides triggered by the July 29, 2025 M8.8 Kamchatka Peninsula, Russia earthquake. Landslides were mapped from 10 meter resolution openly available Sentinel-2 optical images. All landslides were manually identified by comparing pre- (using cloud free images as close to the earthquake date as possible from July 2024 - 2025) and post-earthquake real color...

Mine waste, including mill tailings, could host substantial critical mineral resources. Developing an understanding of the mineral hosts and occurrence of critical minerals in mine waste is essential to evaluating their resource potential. Volcanogenic massive sulfide (VMS) and sedimentary-exhalative (SEDEX) deposits are important global sources of copper, zinc, lead, gold, and silver...

This data release includes individual lengths, total dry mass, and taxonomic classification for a subset of adult aquatic insects captured emerging from the surface of wadeable wetlands in cropland and grassland landscapes across a salinity/hydrology gradient (N = 14 wetlands in 2015, N = 15 wetlands in 2016). Sampling was completed in late spring, after ice off was complete and during...

Demographic and morphological data from an adult female Burmese python and a clutch of hatchlings produced July 2024 in Big Cypress National Preserve in southern Florida.

These lidar point clouds and images cover, in high detail, the terrain at Great Sippewissett Marsh, Cape Cod, MA on November 2nd, 2022. USGS researchers tested different sensors that collected lidar and images for photogrammetry point cloud data using Uncrewed Aerial Systems (UAS) to look at differences in coverage and elevation accuracy. The lidar data were acquired with a YellowScan...