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Entry and spread of specialist and generalist infectious hematopoietic necrosis virus (IHNV) genotypes in Chinook salmon, steelhead and sockeye salmon Entry and spread of specialist and generalist infectious hematopoietic necrosis virus (IHNV) genotypes in Chinook salmon, steelhead and sockeye salmon

Infectious hematopoietic necrosis virus (IHNV) represents one of the most critical challenges for salmonids in the Pacific Northwest. There are three genogroups of IHNV, designated U, M, and L; the U is further delineated into two subgroups, UC and UP, and the M is further delineated into four subgroups (MA – MD). The UP, UC and MD subgroups co-occur in the Columbia River Basin where the...

Select structure observations, model results, and model input parameters for debris-flow runout model simulations of the 9 January 2018 Montecito debris-flow runout event Select structure observations, model results, and model input parameters for debris-flow runout model simulations of the 9 January 2018 Montecito debris-flow runout event

This dataset contains three comma separated value files that represent a combination of previously published structure observations and select model results at the location of each structure centroid from a separate previously published simulation study. -"buildings.csv" represents the merging of structure damage observations published in Kean et al. (2019) and structure locations from...

Mangrove damage along northern Gulf of Mexico from extreme freeze event on February 2021 Mangrove damage along northern Gulf of Mexico from extreme freeze event on February 2021

Climate change is altering the frequency and intensity of extreme weather events. Quantifying ecosystem responses to extreme events at the landscape scale is critical for understanding and responding to climate-driven change but is constrained by limited data availability. Here, we integrated remote sensing with ground-based observations to quantify landscape-scale vegetation damage from...

2021 Gulf of Mexico Mangrove Freeze Damage Data 2021 Gulf of Mexico Mangrove Freeze Damage Data

This data set contains measurements of black mangrove (Avicennia germinans) leaf damage following the February 2021 freeze event that affected mangroves in the northern Gulf of Mexico.

Potential Sea Turtle Nesting Areas for Cat and Ship Island, Mississippi for various years from 1998 to 2020 (ver. 4.0, November 2025) Potential Sea Turtle Nesting Areas for Cat and Ship Island, Mississippi for various years from 1998 to 2020 (ver. 4.0, November 2025)

The Mississippi Coastal Improvement Program (MsCIP) Monitoring and Adaptive Management Program (MAMP) notes that five sea turtle species are found in the northern Gulf of America (Gulf of Mexico), including loggerhead, green, Kemp’s ridley, leatherback, and hawksbill. Green, loggerhead, and Kemp’s ridley sea turtles are regularly documented in the waters surrounding the barrier islands...

Digital Database of Microfossil samples from Southwestern Coastal Oregon Digital Database of Microfossil samples from Southwestern Coastal Oregon

A geodatabase containing shapefiles representing the geologic units present within the study area, as well as the locations where sampling ocurred, field photography conducted by John Armentrout ocurred, and satellite imagery providing overhead views of key points of John Armentrout's study.

Monosex control within integrated pest management Monosex control within integrated pest management

This repository contains code to simulate the use of YY-males and direct mortality such as harvest or pesticide applicaion as a control tools for different aquatic invasive species.

Simulations for assessing the suitability of YY-males as a control method across life histories Simulations for assessing the suitability of YY-males as a control method across life histories

This repository contains code to simulate the use of YY-males as a control tool for different aquatic invasive species. The code uses the Meta-IPM Python package (https://doi.org/10.5066/P9PW673G) The code for this project assumes the reader is familiar with Jupyter Notebooks, enough Conda and Python to install the Meta-IPM package, and population ecology.

Physical and Biological Monitoring Data Collected from Restored Wetland Units at Shiawassee National Wildlife Refuge, Saginaw, MI, USA (2019) Physical and Biological Monitoring Data Collected from Restored Wetland Units at Shiawassee National Wildlife Refuge, Saginaw, MI, USA (2019)

Data represent physical (water quality, water nutrient analysis) and biological (fish, macroinvertebrate, and vegetation community) collections from the Shiawassee National Wildlife Refuge in Saginaw, MI, USA (specifically, historical management unit "Pool 1A" and the North and South management units of the Maankiki Marsh Complex.) The North and South management units of the Maankiki...

Continuous water quality sensor data from the main channel and a backwater of the Upper Mississippi River from 2015-2018 Continuous water quality sensor data from the main channel and a backwater of the Upper Mississippi River from 2015-2018

This dataset includes high-frequency sensor data collected during four consecutive summers from buoys deployed at main channel and backwater sites in Pool 8 of the Upper Mississippi River from 2015-2018. It also includes the event-specific concentration-discharge metrics (hysteresis and slope) calculated by combining the water quality sensor data with discharge data from a nearby USGS...

San Francisco Bay Area Reconnaissance Landslide Inventory, January 2023 San Francisco Bay Area Reconnaissance Landslide Inventory, January 2023

From late December 2022 to January 2023, a series of atmospheric river storms produced widespread landsliding in the San Francisco Bay area of California. USGS scientists performed reconnaissance field work to document the extent of landsliding in the region and compiled reports of landslides from media and California Highway Patrol (CHP) reports. This data release documents locations of...

Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey

The U.S. Geological Survey (USGS) developed a systematic, quantitative approach to prioritize candidate basins that can support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC4) with some of the smaller HUC4s being combined (hereafter referred to as modified HUC4 basins). Candidate basins for the...
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