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These data describe the status of eggs in nests which had a foster egg added to them as part of an effort to relocate a common tern colony on Poplar Island. One data file (McGowanEtAl2018_FosterNestData_Data.csv) contains the data regarding the observations, while one definitions file (McGowanEtAl2018_FosterNestData_Definitions.csv) details the data.
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These data identify the time (0-1 min, 1-2 min,or 2-3 min) and distance (≤50 meters, >50 meters) category when birds were first detected during 3-minutes point counts at stop locations associated with North American Breeding Bird Survey routes or route equivalents that were surveyed on dates between 2009 and 2016 and provide point location coordinates of stop locations along North American Breeding Bird Survey routes or route equivalents within (or within 60 miles) the Gulf Coastal Plains & Ozarks Landscape Conservation Cooperative boundary.
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The hydrologic response units (HRUs) available here were used in the Precipitation Runoff Modeling System (PRMS) of southern Guam documented by Rosa and Hay (2017). A Geographic Information System (GIS) file for the HRUs is provided as a shapefile with attributes ParentHRU, Region, and RegionHRU identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (2017) report. Hydrologic response units (HRUs) were delineating using the processing steps outlined in Viger and Leavesley (2007) and a 5-meter digital elevation model (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National Oceanic and Atmospheric...
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Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States . Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves...
Freshwater mussels (Unionidae) are among the most imperiled groups of organisms in the world. Unionids are plagued with a lack of basic information regarding species distributions, life history characteristics, and ecological and biological requirements. We assessed the influence of hydrologic factors on the occurrence of the Suwannee Moccasinshell, Medionidus walkeri, a federally threatened freshwater mussel species endemic to the Suwannee River basin in Georgia and Florida. We also assessed the influence of survey effort on detection of M. walkeri during field surveys. All current (2013-2016) mussel survey records in the Suwannee River Basin were compiled, and cumulative discharge contributed by upstream springs...
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The Louisiana State Legislature created 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 persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Channel Armor Gap Crevasse (MR-06) project for 2016. This data set is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project...
The data are population sizes of yeast Saccharaomyces cerevisiae growth in laboratory cultures over a period of several days with different levels of growth inhibitor cycloheximide.
Over the past few decades, there has been a significant loss of pollinators, including honey bees, native bees, birds, bats, and butterflies (Committee on the Status of Pollinators in North America 2007). The problem is serious and requires immediate attention to ensure the sustainability of our food production systems, avoid additional economic impacts, and protect the health of our ecosystems. On June 20, 2014, President Obama issued a Presidential memorandum entitled “Creating a Federal Strategy to Promote the Health of Honey Bees and Other Pollinators.” In response to the President’s memorandum, the Louisiana Federal Pollinator Partnership was formed by the USGS, EPA, NRCS, and the FWS. The partnership is working...
Categories: Data, Project
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This dataset documents locations of and water temperature recorded by Hobo Water Temp Pro series loggers (Onset Computer Corp., Bourne, MA) deployed by the USGS Comprehensive Sturgeon Research Project at up to 24 locations in the Lower Missouri River (from the Gavins Point Dam near Yankton, South Dakota to its confluence with the Mississippi River near St. Louis, Missouri) and 13 selected tributaries (James River, Big Sioux River, Little Sioux River, Platte River (in Nebraska), Nishnabotna River, Nodaway River, Platte River (in Missouri), Kansas River, Grand River, Chariton River, Lamine River, Osage River, and Gasconade River) since 2005. Data document the site name, spatial location, temporal extent of water temperature...
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The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 National Aerial Imagery Program (NAIP) dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LandUse/LandCover (LULC) categories. This process involved stitching together more reliable sources for specific categories to...
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This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data." The four datasets, which contain only ASCII characters in a column-oriented format, are: (1) sel_qw_parm_full_time_series.csv: A comma-delimited file containing an irregular time series of 713 rows of discrete water-quality measurements that start on February 21, 1973 and end on September 14, 2016. (2) baye_network_initialize.cas: This tab-delimited file can be used to initialize...
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap.
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
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Remote sensing technologies, such as high-resolution sonar, can be used to collect more detailed information about the benthic and water column characteristics of macro habitats in the Illinois River. Multibeam echosounders (MBES) collect multibeam and sidescan simultaneously, providing high-resolution images of the riverbed. Sidescan images, in raster format, show the recorded intensity of acoustic signal returns from the riverbed. The acoustic data were collected from the main and side channels (where accessible) of the Dresden reach June 4 – 28, 2018.
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River collected in 1975.
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High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
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High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
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High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
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High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.


map background search result map search result map Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana Hydrologic Response Units (HRUs) for the Southern Guam watershed model, PRMS_2016 Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification Datasets to reproduce the exploratory Bayesian network developed in USGS SIR 2018-5053 for estimating water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, 1973-2016 Promoting Change in Common Tern (Sterna hirundo) Nest Site Selection to Minimize Construction Related Disturbance 2018 Western Lake Erie 4-Band Mosaics - 20180823_Elmore Illinois River, Dresden, Sidescan Image Mosaic June 2018 2018 Western Lake Erie 4-Band Mosaics - 20180823_RenoBeach 2018 Western Lake Erie 4-Band Mosaics - 20180824_MetzgerMarsh 2018 Western Lake Erie 4-Band Mosaics - 20180824_Oregon Time and Distance of Detection and Stop Locations along North American Breeding Bird Survey routes within the Gulf Coastal Plains & Ozarks Landscape Conservation Cooperative. Conservation and Restoration Priorities for Water Purification Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River Water temperature in the Lower Missouri River and selected tributaries Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification Promoting Change in Common Tern (Sterna hirundo) Nest Site Selection to Minimize Construction Related Disturbance 2018 Western Lake Erie 4-Band Mosaics - 20180824_Oregon 2018 Western Lake Erie 4-Band Mosaics - 20180823_Elmore 2018 Western Lake Erie 4-Band Mosaics - 20180824_MetzgerMarsh 2018 Western Lake Erie 4-Band Mosaics - 20180823_RenoBeach Illinois River, Dresden, Sidescan Image Mosaic June 2018 Hydrologic Response Units (HRUs) for the Southern Guam watershed model, PRMS_2016 Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana Datasets to reproduce the exploratory Bayesian network developed in USGS SIR 2018-5053 for estimating water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, 1973-2016 Water temperature in the Lower Missouri River and selected tributaries Time and Distance of Detection and Stop Locations along North American Breeding Bird Survey routes within the Gulf Coastal Plains & Ozarks Landscape Conservation Cooperative. Conservation and Restoration Priorities for Water Purification