<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Replication Data for:  Alarm Propagation in Social Insects</dcterms:title><dcterms:identifier>https://doi.org/10.48349/ASU/OYZWEK</dcterms:identifier><dcterms:creator>Xiaohui Guo</dcterms:creator><dcterms:publisher>ASU Library Research Data Repository</dcterms:publisher><dcterms:issued>2020-12-16</dcterms:issued><dcterms:modified>2020-12-16T17:00:06Z</dcterms:modified><dcterms:description>This project studied alarm signal propagation in social insect colonies. The data
includes individual ants' x,y coordinates, speed and orientation, which
were used to train a machine learning regression model in order to identify
each individual ant's alarm state. By applying estimates of alarm state on
each individual, we could track the alarm signal propagation pathways.</dcterms:description><dcterms:subject>Medicine, Health and Life Sciences</dcterms:subject><dcterms:date>2020-12-16</dcterms:date><dcterms:contributor>Guo, Xiaohui</dcterms:contributor><dcterms:dateSubmitted>2020-11-23</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>