This study investigates a means through which commercially available computational electromagnetic modeling software can be used to predict radar cross sections (RCSs) of...

University Corporation for Atmospheric Research60

DF2 Hourly data from Monitoring insect numbers and biodiversity with a vertical-beam entomological radar

昆虫雷达监测

生物多样性动态

Hourly counts and averages for the half-month 2022JanA; from which Fig. 1 can be reproduced and representative entries in DF3a,b validated. Also an R script to read the data and perform the calculatio

NIAID Data Ecosystem50

DF4 Half-month data from Monitoring insect numbers and biodiversity with a vertical-beam entomological radar

昆虫雷达监测

生物多样性动态

DF4 Half-month numbers and masses for NovB and AprB of all 5 years; from which representative series of Fig. 3 can be reproduced. Also an R script to read the data and perform the calculations.

NIAID Data Ecosystem40

DF1 Individual insect data from Monitoring insect numbers and biodiversity with a vertical-beam entomological radar

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DF1 Individual insect data from Monitoring insect numbers and biodiversity with a vertical-beam entomological radar

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