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2021 McKenzie River Topobathymetric Lidar Validation - USGS Field Survey Data
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between July 19th and 31st, 2021 over a large stretch of the McKenzie River in Oregon using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data that was collected coincidentally between July 26th and 30th,
Digital maps of submarine landslides and mass wasting features offshore of southern California
This data release provides the locations and certain key metrics of landslide features offshore southern California, including landslide perimeters, scarps, evacuation zones, debris aprons, and slide-prone areas in geographic information system (GIS) shapefile format. The offshore region of southern California is a tectonically active area that includes more than 20 fault-bounded basins and ridges
Airborne Lidar Data (2016 and 2021) Capturing Debris Flow Erosion and Deposition after the Grizzly Creek Fire in Glenwood Canyon, Colorado
This dataset contains lidar digital elevation models (DEMs). The lidar data were collected before (2016) and after (2021) the Grizzly Creek Fire, which occurred in 2020. The 2016 lidar was collected during a series of flights between 10 June and 7 October 2016. The 2021 lidar flight was conducted in full on 24 August 2021. The files are named with the following convention: Vendor_Year_Resolution_m
Cenozoic and Mesozoic Denver Vertebrate Fossil Collection, U.S. Geological Survey Core Research Center (1948-1978)
Collection consist of vertebrates featuring stratigraphic and spatial data. Data is primarily type fossils from the USGS Denver vertebrate Catalog created and maintained by U.S. Geological Survey (USGS). Data were collected by paleontologist Dr. G. Edward Lewis during his years of service within the USGS Paleontology And Stratigraphy Branch. His catalogs were converted into digital form, Excel and
South Lake Lery Shoreline and Marsh Restoration (BS-16): 2012 and 2018 land-water classifications
The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting
Chemical Concentrations and Microbiological Results for Assessment of Mixed-Organic/Inorganic Chemical Exposures in Tapwater in Mead, Nebraska, June 2022 and January 2023
In the United States and globally, the lack of data on contaminant exposure from unregulated private-well point-of-use (POU) tapwater (TW) is a recognized public health data gap and an obstacle to risk management and homeowner decision making. Mead, Nebraska, is an agricultural community about 30 miles west of Omaha. To help address the lack of data on broad contaminant exposures in TW sourced fro
State-Wide Reconnaissance of Per- and Polyfluoroalkyl Substances, N-(1,3-Dimethylbutyl)-N-phenyl-p-phenylenediamine (6PPD), and 6PPD-Quinone in Iowa Streams, 2022-2023
Water-quality samples were collected at 49 surface water sites covering a range of land uses across the state of Iowa starting the summer of 2022 and continuing into the spring of 2023 by staff from the U.S. Geological Survey Central Midwest Water Science Center. Samples were submitted to the National Water Quality Laboratory in Denver, Colorado, and were analyzed for 32 per- and polyfluoroalkyl s
Digital Database for the Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California
This digital map database represents the general distribution of bedrock and surficial geologic units, and related data in the Fonts Point and Seventeen Palms 7.5’ quadrangles, California. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. This investigation delineates the geologic framework of
Vegetation and geomorphic surfaces in the Elwha River delta, Washington, after dam removal, derived from 2016 and 2018 aerial imagery and 2007, 2014, and 2018 field surveys
Removal of two large dams from the Elwha River, Washington USA, in 2011-2014 released ~20.5 metric tons (Mt) of impounded sediment, ~5.4 Mt of which was deposited in the river delta and estuary. This dataset presents measurements of geomorphic surfaces, vegetation colonization, and plant community development in the Elwha River delta and estuary after dam removal. Geomorphic surfaces and vegetatio
Data from "Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning"
Accurate, high-resolution maps of bedrock outcrops are extremely valuable. The increasing availability of high-resolution imagery can be coupled with machine learning techniques to improve regional bedrock maps. This data release contains training data created for developing a machine learning model capable of identifying exposed bedrock across the entire Sierra Nevada Mountains (California, USA).
Caligus Clemensi prevalence and counts on Clupea pallasii from Port Angeles Harbor, WA and from a controlled laboratory experiment conducted at USGS Marrowstone Marine Field Station, WA
We characterized a natural sea louse epizootic of Caligus clemensi and the effects of parasitism on Pacific herring Clupea pallasii in Port Angeles Harbor, WA, USA. Infestation prevalence on newly metamorphosed age0 Pacific herring reached 100% prevalence by mid-August. At this time, the mean louse intensity was 4.6 lice and a positive correlation occurred between louse intensity and Pacific herri
Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2020-2021 High-resolution mapping surveys
The dataset documents the spatial and temporal variability of nutrients, phytoplankton, and related water quality parameters at high spatial resolution in the Sacramento-San Joaquin River Delta and Suisun Bay of California, USA. The dataset includes nitrate, ammonium, orthophosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about