Skip to main content

U.S Geological Survey - ScienceBase

thumbnail
This dataset is the result of measurements of groundwater levels in the Equus Beds aquifer near Wichita, Kansas, in January 2016. Potentiometric surfaces are interpolated for the shallow and deep parts of the aquifer, and rasters of the potentiometric surfaces are included in this data release. Wells were classified as being screened in the shallow or deep parts of the aquifer based on station name (some wells have a layer identifier in the station name) or, if no indication of aquifer layer was given in the station name, based on the depth of the well; wells with depths less than 80 feet below land surface were classified as shallow and wells with depths of 80 feet or deeper were classified as deep. Contours with...
thumbnail
This dataset is the result of measurements of groundwater levels in the Equus Beds aquifer near Wichita, Kansas, in January 2016. Potentiometric surfaces are interpolated for the shallow and deep parts of the aquifer, and rasters of the potentiometric surfaces are included in this data release. Wells were classified as being screened in the shallow or deep parts of the aquifer based on station name (some wells have a layer identifier in the station name) or, if no indication of aquifer layer was given in the station name, based on the depth of the well; wells with depths less than 80 feet below land surface were classified as shallow and wells with depths of 80 feet or deeper were classified as deep. Contours with...
thumbnail
Using nest records and locations to identify landscape-scale parameters (distance to coast, elevation, slope, and land cover) that provide potential nesting habitat, we produced a final map classifying 12% (70,411 km2) of the lands assessed as potential Kittlitz’s Murrelet nesting habitat with dense but distinct patches located in northern Alaska and a more uninterrupted, narrow band extended across coastal mountainous areas in the Pacific Coastal Mountains, Alaska Peninsula Mountains, and Aleutian Islands. The regional variation in habitat-capable parameter values indicate the Kittlitz’s Murrelet may be able to use a variety of habitats for nesting depending on availability. Future nesting habitat studies that...
thumbnail
This dataset is the result of measurements of groundwater levels in the Equus Beds aquifer near Wichita, Kansas, in January 2016. Potentiometric surfaces are interpolated for the shallow and deep parts of the aquifer, and rasters of the potentiometric surfaces are included in this data release. Wells were classified as being screened in the shallow or deep parts of the aquifer based on station name (some wells have a layer identifier in the station name) or, if no indication of aquifer layer was given in the station name, based on the depth of the well; wells with depths less than 80 feet below land surface were classified as shallow and wells with depths of 80 feet or deeper were classified as deep. Contours with...
thumbnail
This data release has been superceded by the data release entitled "Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through October 2016." The data set has been updated to include phytoplankton data collected from Cheney Reservoir, Kansas during December 2015 through October 2016. The updated data release is available online at: https://doi.org/10.5066/F7ZG6QFX. This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through November 2015. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.