Automated Author ProfileBobbitt, Maryanne
Bobbitt, Maryanne
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
To determine aquifer characteristics, pneumatic slug tests were performed on selected zones and aquifers at a monitoring site near the North and South Belridge oil fields in the Southern San Joaquin Valley in Kern County. On November 19th and 20th, 2018, pneumatic slug tests were performed at five monitoring wells located at the multiple-well groundwater-monitoring site BWSD (28S/21E-08M1 through -M5) near Lost Hills, CA in the Southern San Joaquin Valley. Data were collected using In-Situ LevelTROLL 500 30psig pressure transducers set to record the depth to water level below land surface at one second intervals. Computations were performed using Aqtesolv software and analyzed using the KGS Model package for overdamped and Butler-Zhan for underdamped slug tests performed in fully and partially penetrating wells in a confined aquifer (Hyder, 1994). Data presented in this data release include well construction information, well development information, observed water levels during the tests, parameters used for analysis, and test results.
Authors
- Everett, Rhett R ;
- Ledbetter, Brandon J ;
- Rodriguez, Olga ;
- Bobbitt, Maryanne
The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board compiled and analyzed data for mapping groundwater salinity and characterizing aquifer systems in and near selected oil and gas fields in California. Data for the Lost Hills, North Belridge, and South Belridge oil fields include production and injection volumes, oil show data, formation pressure data, digitized borehole geophysical data, geochemical analyses of produced water samples, geological formation depths, and geophysical data associated with estimating groundwater total dissolved solids (TDS) of formation water. All data reported here are used in an accompanying interpretive manuscript. These data have been compiled from many sources and span several decades. Some of these data have been in archived scanned pages in raster format on the California Division of Oil, Gas, and Geothermal Resources (DOGGR) website, but now have been compiled into computer readable numerical data sets. Other data were created by this project. All the data compiled and analyzed are part of the California State Water Resources Control Board's Program of Regional Monitoring of Water Quality in Areas of Oil and Gas Production and the USGS California Oil, Gas, and Groundwater (COGG) program. First posted: April 23, 2019 Revised: September 13, 2019
Authors
- Davis, Tracy A. ;
- Ball, Lyndsay B. ;
- Gillespie, Janice M. ;
- Wolpe, Zach ;
- Bobbitt, Maryanne ;
- Herrera, Phillip J ;
- Medrano, Victor ;
- Stephens, Michael J