<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.48349/ASU/OYZWEK</identifier><creators><creator><creatorName nameType="Personal">Xiaohui Guo</creatorName><affiliation>Arizona State University</affiliation></creator></creators><titles><title>Replication Data for:  Alarm Propagation in Social Insects</title></titles><publisher>ASU Library Research Data Repository</publisher><publicationYear>2020</publicationYear><subjects><subject>Medicine, Health and Life Sciences</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Organizational">Xiaohui Guo</contributorName><affiliation>Arizona State University</affiliation></contributor></contributors><dates><date dateType="Submitted">2020-11-23</date><date dateType="Updated">2020-12-16</date></dates><resourceType resourceTypeGeneral="Dataset"/><sizes><size>12184496</size><size>13985804</size><size>63900485</size><size>3733424</size></sizes><formats><format>text/tab-separated-values</format><format>text/tab-separated-values</format><format>video/mp4</format><format>text/tab-separated-values</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</rights></rightsList><descriptions><description descriptionType="Abstract">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.</description></descriptions><geoLocations/></resource>