Data
UMESC Data
Long Term Resource Monitoring
Long Term Resource Monitoring
The LTRM element is one of two components of the federally mandated Upper Mississippi River Restoration Program.
ScienceBase
ScienceBase
ScienceBase is data and information management infrastructure that enables data upload, documentation, sharing, and dynamic data services using standards-compliant methods and technological components. ScienceBase furnishes a foundation for data stewardship, government open data, and scientific discovery.
Filter Total Items: 350
Biological and physical attributes of side channels of the Upper Mississippi River System
Fish richness and physical characteristics of side channels in the Upper Mississippi River and Illinois River.
White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030
This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." Gaussian process models were fitted to monitoring data on the spread of white-nose syndrome in North America from 2007-2022. These models are used to make p
R code to fit Gaussian process models to white-nose syndrome/Pseudogymnoascus destructans monitoring data across North America from 2006-2022
This code supports the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." The code is used to fit Gaussian process models to publicly accessible monitoring data on the spread of white-nose syndrome in North America. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of whit
Algal toxins and Mycobacterium avium ssp. paratuberculosis measured in surface-water, quarry-water, and sediment samples collected at Pipestone National Monument, Pipestone, Minnesota, 2018-19
The U.S. Geological Survey, in cooperation with the U.S. National Park Service, conducted a study to determine the presence of algal toxins and Mycobacterium avium ssp. paratuberculosis (MAP) within Pipestone National Monument located in Pipestone County in southwestern Minnesota. Three algal toxins (microcystins, saxitoxin, and anatoxin-a) were analyzed in 12 water-quality samples collected from
Minnesota Point post-nourishment surveys of the beach topography and near-shore bathymetry of Lake Superior, Duluth, MN, September - October, 2021 (ver. 2.0, September 2024)
This data represents elevation of the beach topography and near-shore bathymetry of Lake Superior at two beach nourishment locations along Minnesota Point, Duluth, Minnesota. The first location is near the Superior point of entry, and was surveyed in September 2021. The second location is near the Duluth Entry and was surveyed in October 2021. LiDAR data were collected using a Velodyne VLP-16 unit
Chemical characterization of water, sediments, and fish from Water Conservation Areas and Canals of the Florida Everglades (USA), 2012 to 2019
This dataset includes field and laboratory measurements of surface waters, pore waters, sediment, and fish from Water Conservation Areas and adjacent canals of the Florida Everglades (USA). Water, sediment, and fish samples were collected from Water Conservation Areas 1 (Arthur R. Marshall Loxahatchee National Wildlife Refuge), 2, and 3 and neighboring canals between 2012 and 2019. The sites sampl
Summary of Detection Data for Breeding Common Loons in North-central Minnesota (2021-2022) (ver. 1.1, August 2024)
The Deepwater Horizon oil spill caused extensive injury to natural resources in the Gulf of Mexico, and Gavia immer (common loon) were negatively affected from the spill. The Open Ocean Trustee Implementation Group funded the project Restoration of Common Loons in Minnesota to restore common loons lost to the spill. In 2020–21, study lakes in an eight-county region in north-central Minnesota were
MODFLOW-NWT simulations of regional groundwater flow under mining and pre-mining scenarios near the Mesabi Iron Range within the St. Louis River Basin, northeastern Minnesota
The U.S. Geological Survey developed two steady-state finite-difference regional groundwater-flow models using the MODFLOW-NWT computer code. These models simulate flow in the area of historical iron mining on and around the portion of the Mesabi Iron Range that is in the St. Louis River basin in northeastern Minnesota. The models are composed of 8 layers each; the upper four representing unconsol
African fish mercury burden and isotopic composition from archived museum specimens
Fish collected for taxonomic and systematic purposes are often preserved and then archived in museum collections. Preserved fish are commonly first fixed in a formalin solution and then transferred to ethanol for long-term storage. The wet preservation method can potentially introduce mercury (Hg) contamination or unintentionally extract Hg from tissue. An experiment was designed to test the utili
Great Lakes Restoration Initiative: Nutrient cycling in riverbed sediment in the Maumee River Basin, 2019 and 2021 Data (ver. 2.0, March 2024)
The Maumee River transports huge loads of nitrogen (N) and phosphorus (P) to Lake Erie. The increased concentrations of N and P are causing eutrophication of the lake, creating hypoxic zones, and contributing to phytoplankton blooms. It is hypothesized that the P loads are a major contributor to harmful algal blooms that occur in the western basin of Lake Erie, particularly in summer. The Maumee R
Functional diversity metrics of floodplain forests from Michigan's Lower Peninsula
Floodplain forest species are presumed to interact strongly with the environment, as evidenced by pronounced spatial variation in flood-driven abiotic constraints and forest composition. These data describe functional diversity and environmental characteristics for 156 forest assemblages sampled on floodplain landforms within transects from the lower peninsula of Michigan. The functional diversity
Regression and load estimates for the tributary nutrient and sediment monitoring program on the Great Lakes, 2011-2013
Nutrient and sediment regression information (diagnostics and coefficients) and estimated load data from 30 tributaries to the Great Lakes, beginning of the program (water year 2011) to water year 2013.