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This study deployed acoustic telemetry at the Fox River Navigational System Authority (FRNSA) in lock #2 and the upstream and downstream pools in Kaukauna, WI to document movements and behavior of telemetered fish species in response to injection of carbon dioxide. Telemetry equipment was setup in the test area for approximately 2 months during the summer of 2019. CSV metadata includes telemetry data with position estimates for fish during this time.
These BioLake raster data provide global estimates (~10.0 x 12.4 km resolution) of twelve bioclimatic variables based on estimated lake temperature. Eleven of these twelve variables (BioLake01 - BioLake11) are estimated for each of three lake strata: lake mix (surface) layer, lake bottom, and total lake water column. These eleven variables correspond to CHELSA (Climatologies at high resolution for the earth's land surface areas) bioclimatic variables BIO1 - BIO11, except that these BioLake variables are based on lake water temperature and CHELSA BIO1 - BIO11 variables are based on air temperature. CHELSA BIO is also calculated a finer spatial resolution (~1 x 1 km). The twelfth variable (BioLake20; months with non-zero...
These data include dissolved silicon concentration and yield from 60 rivers across North America, the Caribbean, and Antarctica from 1964-2021 and are associated with the publication “Long-term change in concentration and yield of riverine dissolved silicon from the poles to the tropics”. Data were compiled from multiple public sources including the Long-term Ecological Research Network, Great Arctic Rivers Observatory, Upper Mississippi River Restoration program, and the U.S. Geological Survey. Concentration and yield estimates were generated by the Weighted Regressions on Time, Discharge and Season model (WRTDS; Hirsch et al. 2010). The dataset includes six files: discrete dissolved silicon data and daily discharge...
Categories: Data;
Tags: Antarctica,
North America,
Puerto Rico,
USGS Science Data Catalog (SDC),
Water Resources,
These data were collected to support the development of detection and classification algorithms to support Bureau of Ocean Energy Management (BOEM) studies and assessments associated with offshore wind energy production. There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It includes instructions and files necessary for training, validating, and testing a machine learning detection algorithm. 02_Imagery.zip contains imagery that were collected using a Partenavia P68 fixed-wing airplane using a PhaseOne iXU-R 180 forward motion compensating 80-megapixel digital frame camera with...
These data contain observation and null polygons for waterfowl aerial surveys of Lake Michigan collected through the years 2009-2014. Polygons were created adjacent to either side of the flight lines (transects). The right and left offset of the polygons from the flight path, was determined using the average altitude of the plane along the transect and the observation angle through the plane’s window. Observed birds were counted and identified by species. This count data was attributed to the polygon closest to the point along the transect where the observation occurred, and on the side of the plane in which the observation took place. The point data represent counts where each point represents a single species....
Data used in the Maumee River omics publication, Multi-omics responses in tree swallow (Tachycineta bicolor) nestlings from the Maumee Area of Concern, Maumee River, Ohio. Tseng et al. 2023 Sci. Total Environ. 856:159130
Categories: Data;
Tags: EROD,
Ecology,
Environmental Health,
USGS Science Data Catalog (SDC),
Wildlife Biology,
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 gage in Winona, MN (05378500). High-frequency sensor data were collected using water quality buoys (PISCES monitoring platforms; EMM350 Water Monitoring Pontoon Platform | ysi.com | ysi.com; Yellow Springs, Ohio) set up with EXO2 Multiparameter Sondes (YSI, Inc, Yellow Springs, Ohio) to monitor hourly or bi-hourly concentrations of...
Categories: Data;
Tags: Mississippi River,
USGS Science Data Catalog (SDC),
Water Quality,
chlorophyll a,
dissolved organic matter,
Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Asian Carp,
Emergent Vegetation,
Erie County,
Grass Carp,
Great Lakes,
Model Inputs: Midwest Climate Change Vulnerability Assessment for the U.S. Fish and Wildlife Service
This data release contains the climate change model inputs and Soil and Water Assessment Tool (SWAT) model outputs from 360 HUC-8 watersheds in the Midwest United States (Illinois, Indiana, Iowa, Michigan, Minnesota, Ohio, and Wisconsin), that were generated using the HAWQS (Hydrologic and Water Quality System) platform (https://hawqs.tamu.edu). The summarized data for a watershed-based climate change vulnerability assessment for U.S. Fish and Wildlife Service is also provided, along with the R code used to summarize the raw outputs. Watershed-based Midwest Climate Change Vulnerability Assessment Tool: https://rconnect.usgs.gov/CC_Vulnerabi
This data was collected by the US Fish and Wildlife Service to see if environmental DNA (eDNA) varied across pools and within pools in the Illinois River basin. The data was collected in 2015 from three different habitat types: shoreline, main channel, and bays. The resulting data were then analyzed using an occupancy model.
Categories: Data;
Tags: Illinois,
USGS Science Data Catalog (SDC),
biota,
environment,
environmental DNA,
Isoëtes are iconic but understudied wetland plants, despite having suffered severe losses globally mainly because of alterations in their habitats. We therefore provide the first global, comprehensive data set of aquatic Isoëtes and their habitats. We compiled a global database that includes all known environmental data collected from 1935 to 2023 regarding aquatic Isoëtes. This resulted in 2,179 records. The environmental data taken at Isoëtes' sampling stations varied but may include measures of water quality, water depth, and substrate composition.
This data set represents initial forest communities developed for Isle Royale National Park. LANDIS-II requires an input data layer that contains the ages of each species cohort present within each cell of the landscape. To develop this layer, we matched the composition of forest inventory plots to a map of forest types, and randomly imputed U.S. Department of Agriculture Forest Inventory plots within each matching forest type
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Forest Succession,
Isle Royale National Park,
Lake Superior,
Michigan,
USGS Science Data Catalog (SDC),
To evaluate the ability of precipitation-based environmental DNA (eDNA) sample collection and mitochondrial 12S metabarcoding sequencing to reconstruct well-studied fish communities in lakes and rivers. Specific objectives were to 1) determine correlations between eDNA species detections and known community composition based on traditional field sampling, 2) compare efficiency of eDNA to detect fish biodiversity among systems with variable morphologies and trophic states, and 3) determine if species habitat preferences predicts eDNA detection. Fish community composition was estimated for seven lakes and two MIssissippi River navigation pools using sequence data from the mitochonrial 12S gene amplified from 10 to...
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 of each assemblage is characterized by two metrics of functional richness (Convex Hull Volume/CHV and Trait Onion Peeling/TOP), one metric of functional dispersion (FDis), and community weighted mean functional trait values. Functional diversity metrics were calculated from 12 quantitative and qualitative functional traits...
This study deployed acoustic telemetry into a red swamp crayfish-infested water retention pond (1.0 ac) near Novi, Michigan to document the movements and behavior of telemetered red swamp crayfish (Procambarus clarkii). Telemetry was setup in the pond for approximately 3 months. Spreadsheets include telemetry data with position estimates for individual crayfish.
Categories: Data;
Tags: Acoustic telemetry,
Aquatic Biology,
Aquatic biology,
Invasive crayfish,
Invasive species,
This dataset uses the ITIS recommended Ortmanniana pectorosa, Conrad, 1834 in place of Actinonaias pectorosa, which was used in the Richard et al. 2020 manuscript. Biologists monitoring freshwater mussel (Order Unionida) populations rely on behavioral, often subjective, symptoms to identify “sick” or stressed animals, such as gaping valves and slow response to probing and lack clinical indicators to support a diagnosis. As part of a multi-year study to investigate causes of reoccurring mortality of pheasantshell (Ortmanniana pectorosa, Conrad 1834) in the Clinch River, Virginia and Tennessee, USA, we analyzed the hemolymph metabolome of a subset of mussels from the 2018 sampling period. Mussels at the mortality...
Categories: Data;
Tags: Aquatic Biology,
Clinch River, VA, USA,
USGS Science Data Catalog (SDC),
Wildlife Biology,
biota
Between 1900 and 1932, a copper (Cu) mine operated near Gay, Michigan, along the shore of Lake Superior, discharged approximately 22.8 million metric tons of waste material known as ‘stamp sands’ (SS) to a nearby beach. This pile of SS has migrated via wind and rain along the beaches in northern Grand Traverse Bay and into Buffalo Reef, an important spawning area for Lake Trout and Lake Whitefish. During their first summer, these newly spawned fish consume benthic invertebrates and zooplankton in nearby beach habitats. SS contain elevated concentrations of metals (especially Cu) that are toxic to many invertebrate taxa, and studies have observed very few benthic taxa in areas with very high SS. Here, we sampled...
Categories: Data;
Tags: Aquatic Biology,
Keweenaw Bay NE,
Lake Superior,
Michigan,
Southcentral Lake Superior,
The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting missing values in a long-term water quality data set from the upper Mississippi River, USA.
Categories: Data;
Tags: Information Sciences,
Mississippi River,
North America,
USGS Science Data Catalog (SDC),
Upper Mississippi River,
The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential. The data and accompanying analysis scripts allow users to run the final random forests predictive model and reproduce the figures reported in the manuscript. Files from several data sources (aqa_2010_lvl3_pct_oute_joined_VEG_BARCODE.csv, eco_states_near_SAV.csv, ltrm_vegsrs_thru2019_GEOMORPHIC_METRICS_final.csv, vegetation_data.csv, and water_full.csv) were combined into a single .csv file (analysis_data_for_SAV_RandomForest.csv) used as the input for the random forest model. When intersecting points with geomorphic metrics some sites were moved slightly...
This dataset contains Sr:Ca of water and fin ray samples of native fish to evaluate upstream fish passage through a navigation lock in the Des Plaines River (Brandon Roads Lock and Dam). Fin ray samples from several native fish taxa (catostomids, ictalurids, centrarchids, and lepisosteids) were collected in two river reaches downstream of Brandon Roads Lock and Dam, and in a river reach upstream of Brandon Roads Lock and Dam. Fin ray Sr:Ca derived from microchemistry analyses of fin ray materials from a laser ablation transect is included as both edge values and entire transect (including edge). Edge values of Sr:Ca were used to characterize chemical signatures of residency for each of the rivers and make comparisons...
Categories: Data;
Tags: Aquatic Biology,
Asian carp,
Brandon Roads Lock and Dam,
Brandon Roads Lock and Dam,
Catostomidae,
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