Life Sciences Commons^™

1994 Ieee Computer Society Press Reprint, James W. Brunt

Long Term Ecological Research Network

Effective management of ecological research data can insure the security and accessibility of data that cannot be collected again under the same conditions and plays a key role in every aspect of the research project from experimental design to publication. Commercial relational database management software, developed an adequate solution for long-term scientific data management. An archive file format provides the standard around which a data file management system is implemented. The system works within the parameters of existing components of the operating system software. Data filters and data engines are used to communicate data to and from applications. This paper …

Lter Correspondence & Letters, Jerry F. Franklin

Long Term Ecological Research Network

1st. Letter written by Jerry F. Franklin, chair of LTER Network, addressed to David Greenland of the department of Geography. Franklin extends an invitation to the upcoming Coordinating Committee meeting taking place from October 19-21.

2nd. Letter written by Jerry F. Franklin, chair of LTER Network, addressed to Joshua Greenberg of he College of Forest Resources. Franklin extends an invitation to the upcoming Coordinating Committee meeting taking place from October 19-21.

3rd. Letter written by Jerry F. Franklin, chair of LTER Network, he writes on the significant decisions taken place over the LTER/CC meeting held on April 22-24.

4th. Letter …

Agenda Lter/Coordinating Committee Meeting, April 22-24, 1994, Long Term Ecological Research

Long Term Ecological Research Network

The latest agenda update for the LTER April 1994 Coordinating Committee Meeting.

Analysis Of An Iowa Aridity Index In Relationship To Climate And Crop Yield, Soumare Harouna, R. E. Carlson

Journal of the Iowa Academy of Science: JIAS

An aridity index and its components, temperature and precipitation, for the period from 1900 through April 1993 were defined and characterized. This index describes the anomalous behavior of both temperature and precipitation over time. Our intent was to examine climate variability in Iowa. Moving mean and standard deviations over various lengths of time were calculated from three time series. We found that these indices fluctuate considerably from year to year and from month to month. The lowest aridity index values occurred in the recent summer of 1992, and the highest occurred during the very drought-prone 1930s. The 12-month moving mean …