Automated Author ProfileUniversity Of Kansas Field Station
University Of Kansas Field Station
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: 3.2 (sum of 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
These data were used in a publication by Moore et al. (in press, as of 2011; citation as follows: Clinton T. Moore, Christopher J. Fonnesbeck, Katriona Shea, Kristopher J. Lah, Paul M. McKenzie, Lianne C. Ball, Michael C. Runge and ,Helen M. Alexander. (2011). An adaptive decision framework for the conservation of a threatened plant. Journal of Fish and Wildlife Management. In press.) The following description is modified from the Moore et al. (2011) abstract: Mead's milkweed (Asclepias meadii), a long-lived perennial herb of tallgrass prairie and glade communities of the central United States, is a species designated as threatened under the U.S. Endangered Species Act. Challenges to its successful management include the facts that much about its life history is unknown, its age at reproductive maturity is very advanced, certain life stages are practically unobservable, its productivity is responsive to unpredictable environmental events, and most of the known populations occur on private lands unprotected by any legal conservation instrument. To aid in its management, Moore et al. developed a prototype population-level state-dependent decision-making framework that explicitly accounts for this uncertainty and for uncertainties related to stochastic environmental effects and vital rates. To parameterize the decision model, they used estimates found in the literature, and analyzed data from a long-term monitoring program where fates of individual plants were observed through time (the data archived here).
Authors
- University Of Kansas Field Station ;
- Kettle, Dean
These data were used in a publication by Moore et al. (in press, as of 2011; citation as follows: Clinton T. Moore, Christopher J. Fonnesbeck, Katriona Shea, Kristopher J. Lah, Paul M. McKenzie, Lianne C. Ball, Michael C. Runge and ,Helen M. Alexander. (2011). An adaptive decision framework for the conservation of a threatened plant. Journal of Fish and Wildlife Management. In press.) The following description is modified from the Moore et al. (2011) abstract: Mead's milkweed (Asclepias meadii), a long-lived perennial herb of tallgrass prairie and glade communities of the central United States, is a species designated as threatened under the U.S. Endangered Species Act. Challenges to its successful management include the facts that much about its life history is unknown, its age at reproductive maturity is very advanced, certain life stages are practically unobservable, its productivity is responsive to unpredictable environmental events, and most of the known populations occur on private lands unprotected by any legal conservation instrument. To aid in its management, Moore et al. developed a prototype population-level state-dependent decision-making framework that explicitly accounts for this uncertainty and for uncertainties related to stochastic environmental effects and vital rates. To parameterize the decision model, they used estimates found in the literature, and analyzed data from a long-term monitoring program where fates of individual plants were observed through time (the data archived here).
Authors
- University Of Kansas Field Station ;
- Kettle, Dean
This checklist is intended to provide an overview of the herpetofauna of KUFS. Forty species of amphibians and reptiles have been found on the University of Kansas Field Station (KUFS). Acknowledgement to Henry S. Fitch for providing this information
Authors
- University Of Kansas Field Station ;
- Kettle, Dean
Thirty-nine species of mammals have been recorded (confirmed) from the University of Kansas Field Station (KUFS) since 1948. This checklist provides an overview of the mammal community of KUFS and includes a generalized key to the abundance of each species .
Authors
- University Of Kansas Field Station ;
- Kettle, Dean
This checklist is intended to provide an overview of the avifauna of KUFS. Two hundred thirty-seven bird species have been recorded on University of Kansas Field Station (KUFS) lands from 1948 to present. Eighty-eight of these species are confirmed breeding birds and another eight are probable breeders.
Authors
- University Of Kansas Field Station ;
- Pittman, Galen
A checklist of spiders of the University of Kansas field station based on the following publication. Guarisco, H. and H. S. Fitch (1995) Spiders of the Kansas Ecological Reserves.TRANSACTIONS OF THE KANSAS ACADEMY OF SCIENCE 98(3-4): 118-129. It includes 249 species, which were approximately half the known spider fauna of the state at the time of publication.
Authors
- University Of Kansas Field Station ;
- Kettle, Dean
The University of Kansas Field Station (KUFS) acquired climate data from a single location, known as the Nelson Environmental Study Area (NESA), from 1986-2008. The weather station at NESA was set to sample eight atmospheric parameters (24 hours a day, 7 days a week) using a battery-powered datalogger. Raw data, data summeries, and complete metadata and documentation for the operation of the KUFS Weather Station at NESA are available. In August 2008, a new NRCS SCAN network weather station was installed adjacent to the KUFS weather station at NESA as its replacement.
Authors
- University Of Kansas Field Station ;
- Kettle, Dean
A checklist of spiders of the University of Kansas field station based on the folloing publication. Guarisco, H. and H. S. Fitch (1995) Spiders of the Kansas Ecological Reserves.TRANSACTIONS OF THE KANSAS ACADEMY OF SCIENCE 98(3-4): 118-129. It includes 249 species, which were approximately half the known spider fauna of the state at the time of publication.
Authors
- University Of Kansas Field Station ;
- Kettle, Dean
There are 255 bird species that have been recorded on KUFS lands from 1948 to the present. Of those, 102 species are confirmed breeders. Abundance information is presented for each of four standard seasons of the year.
Authors
- University Of Kansas Field Station ;
- Pittman, Galen