{"dcterms:modified":"2024-11-03","dcterms:creator":"ASU Library Research Data Repository","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.0","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.4 build 1609-906f874","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://dataverse.asu.edu/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.48349/ASU/OYZWEK","ore:describes":{"author":{"citation:authorName":"Xiaohui Guo","citation:authorAffiliation":"Arizona State University"},"citation:dsDescription":{"citation:dsDescriptionValue":"This project studied alarm signal propagation in social insect colonies. The data\nincludes individual ants' x,y coordinates, speed and orientation, which\nwere used to train a machine learning regression model in order to identify\neach individual ant's alarm state. By applying estimates of alarm state on\neach individual, we could track the alarm signal propagation pathways.","citation:dsDescriptionDate":"2020-11-23"},"citation:datasetContact":{"citation:datasetContactName":"Xiaohui Guo","citation:datasetContactAffiliation":"Arizona State University","citation:datasetContactEmail":"xguo49@asu.edu"},"title":"Replication Data for:  Alarm Propagation in Social Insects","citation:depositor":"Guo, Xiaohui","subject":"Medicine, Health and Life Sciences","dateOfDeposit":"2020-11-23","@id":"https://doi.org/10.48349/ASU/OYZWEK","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Replication Data for: Alarm Propagation in Social Insects","schema:dateModified":"Wed Dec 16 17:00:06 UTC 2020","schema:datePublished":"2020-12-16","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"ASU Library Research Data Repository","schema:isPartOf":{"schema:name":"ASU Library Research Data Repository","@id":"https://dataverse.asu.edu/dataverse/asulibrary","schema:description":"<h2>Share, find and cite research data produced at Arizona State University.</h2><p>The Arizona State University (ASU) Research Data Repository provides a platform for ASU-affiliated researchers to share, preserve, cite, and make research data accessible and discoverable. The ASU Research Data Repository provides a permanent digital identifier for research data, which complies with data sharing policies. The repository is powered by the Dataverse open-source application, developed and used by Harvard University. Both the ASU Research Data Repository and the <a href=\"https://keep.lib.asu.edu\">KEEP Institutional Repository</a> are managed by the ASU Library to ensure research produced at Arizona State University is discoverable and accessible to the global community.</p><br />"},"ore:aggregates":[{"schema:description":"Ants' trajectories in the video of post-dropping alarmed seed ants.","schema:name":"AlarmEventsAntTrajectories.csv","dvcore:restricted":false,"schema:version":3,"dvcore:datasetVersionId":24,"@id":"doi:10.48349/ASU/OYZWEK/7AI319","schema:sameAs":"https://dataverse.asu.edu/api/access/datafile/:persistentId?persistentId=doi:10.48349/ASU/OYZWEK/7AI319&format=original","@type":"ore:AggregatedResource","schema:fileFormat":"text/csv","dvcore:filesize":12481037,"dvcore:storageIdentifier":"s3://dataverse-prod-user-files:1760d80057c-69079f28257e","dvcore:currentIngestedName":"AlarmEventsAntTrajectories.tab","dvcore:UNF":"UNF:6:eZlkMnxUITJt6PaTvKGnVQ==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"6e19d3daf0fd0ec241b07718c24da53c"}},{"schema:description":"Ants' trajectories in the video of pre-dropping alarmed seed ants.","schema:name":"BaselineAntTrajectories.csv","dvcore:restricted":false,"schema:version":3,"dvcore:datasetVersionId":24,"@id":"doi:10.48349/ASU/OYZWEK/JDXUQI","schema:sameAs":"https://dataverse.asu.edu/api/access/datafile/:persistentId?persistentId=doi:10.48349/ASU/OYZWEK/JDXUQI&format=original","@type":"ore:AggregatedResource","schema:fileFormat":"text/csv","dvcore:filesize":14313455,"dvcore:storageIdentifier":"s3://dataverse-prod-user-files:1760d7fa9c9-aa52960e8149","dvcore:currentIngestedName":"BaselineAntTrajectories.tab","dvcore:UNF":"UNF:6:enoEDa2Zla6DH0ZKfM41DA==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"1d9872a4f90c822ca69b12f400e2678f"}},{"schema:description":"Animations for the estimates of ants' alarm strength from the ML model, and the propagation network. (Left) A distribution of alarmed and unalarmed ants over time (blue bars: the number of unalarmed ants in each bin (Alarm strength < 0.749); pink bars: the number of alarmed ants in each bin (Alarm strength >= 0.749)); (Middle) An animation by overlapping the visualized alarm strength per ant color labeled by estimates from the model with the live feed (the red color spectrum); (Right) An animation of temporal alarm signal propagation networks and nodes color labeled over time (black nodes: alarmed ants; white nodes: unalarmed ants).","schema:name":"Movie-S.mp4","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":24,"@id":"doi:10.48349/ASU/OYZWEK/JYUFZH","schema:sameAs":"https://dataverse.asu.edu/api/access/datafile/:persistentId?persistentId=doi:10.48349/ASU/OYZWEK/JYUFZH","@type":"ore:AggregatedResource","schema:fileFormat":"video/mp4","dvcore:filesize":63900485,"dvcore:storageIdentifier":"s3://dataverse-prod-user-files:1760d81df34-7f2a2d126ea5","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"a6d05e07ae1f292b67584f600901e7b2"}},{"schema:description":"Training dataset for Randomforest machine learning regression model.","schema:name":"TrainingData.csv","dvcore:restricted":false,"schema:version":3,"dvcore:datasetVersionId":24,"@id":"doi:10.48349/ASU/OYZWEK/GVWQCN","schema:sameAs":"https://dataverse.asu.edu/api/access/datafile/:persistentId?persistentId=doi:10.48349/ASU/OYZWEK/GVWQCN&format=original","@type":"ore:AggregatedResource","schema:fileFormat":"text/csv","dvcore:filesize":3797797,"dvcore:storageIdentifier":"s3://dataverse-prod-user-files:1760d910226-fa4026e6a695","dvcore:currentIngestedName":"TrainingData.tab","dvcore:UNF":"UNF:6:Swx+5/1iaRALmSwzFtUNNQ==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"29eb46ee62f68a63c79fd7fa41ac40d5"}}],"schema:hasPart":["doi:10.48349/ASU/OYZWEK/7AI319","doi:10.48349/ASU/OYZWEK/JDXUQI","doi:10.48349/ASU/OYZWEK/JYUFZH","doi:10.48349/ASU/OYZWEK/GVWQCN"]},"@context":{"author":"http://purl.org/dc/terms/creator","citation":"https://dataverse.org/schema/citation/","dateOfDeposit":"http://purl.org/dc/terms/dateSubmitted","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","ore":"http://www.openarchives.org/ore/terms/","schema":"http://schema.org/","subject":"http://purl.org/dc/terms/subject","title":"http://purl.org/dc/terms/title"}}