Processing Difficult B. anthracis Sample Matrices 6-2022 Manuscript Submission Dataset
Dataset for bench-scale project evaluating methods to improve detection and sensitivity of Bacillus anthracis detection in 'difficult' sample matrices (i.e., soil, wet vacuum, stormwater runoff).
This dataset is associated with the following publication:
Nelson, S., K. Hofacre, S. Shah, E. Silvestri, V. Gallardo, A. Mikelonis, R. James, and M. Calfee. Evaluation of Sample Processing Methods to Improve Detection of Bacillus anthracis in Difficult Sample Matrices. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 194(10): 789, (2022).
Complete Metadata
| bureauCode |
[ "020:00" ] |
|---|---|
| identifier | https://doi.org/10.23719/1526539 |
| programCode |
[ "020:000" ] |
| references |
[ "https://doi.org/10.1007/s10661-022-10467-0" ] |
| rights | null |
