The definitive paper by Stuiver and Polach (1977) established the conventions for reporting of {sup 14}C data for chronological and geophysical studies based on the radioactive decay of {sup 14}C in the sample since the year of sample death or formation. Several ways of reporting {sup 14}C activity levels relative to a standard were also established, but no specific instructions were given for reporting nuclear weapons testing (post-bomb) {sup 14}C levels in samples. Because the use of post-bomb {sup 14}C is becoming more prevalent in forensics, biology, and geosciences, a convention needs to be adopted. We advocate the use of fraction modern with a new symbol F{sup 14}C to prevent confusion with the previously used Fm, which may or may not have been fractionation corrected. We also discuss the calibration of post-bomb {sup 14}C samples and the available datasets and compilations, but do not give a recommendation for a particular dataset.

The U.S. Postal Service (Postal Service) recently installed Energy Information Systems (EIS) at 30 facilities in California. These systems integrate electric utility meter data acquisition hardware, software, and communication systems to collect, archive, analyze, and display whole-facility energy consumption data. At some point in the future, these systems could also be integrated with sub-meters that measure the electricity consumption of key end-use equipment. The purpose of this guidebook is to help Postal Service facility managers interpret and act upon energy data available from their EIS, translating the abundance of information these systems provide into knowledge that can be used to reduce energy use and costs. The guidebook first describes basic EIS capabilities and explains the data and reports that Postal Service EIS provide. It outlines a set of strategies for utilizing this information to improve operations and maintenance of building energy use equipment and for facilitating demand response. Finally, the guidebook offers suggestions on creating a routine for tracking and analyzing energy data and integrating this information into regular energy management activities.