Dataset Open Access
Pei Tian; Fengxu Yang; Xiaoyuan Ma; Carlo Alberto Boano; Xin Tian; Ye Liu; Jianming Wei
<?xml version='1.0' encoding='utf-8'?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#"> <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.5519724"> <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/> <dct:type rdf:resource="http://purl.org/dc/dcmitype/Dataset"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.5519724</dct:identifier> <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.5519724"/> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Pei Tian</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Shanghai Advanced Research Institute, Chinese Academy of Sciences</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Fengxu Yang</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Shanghai Advanced Research Institute, Chinese Academy of Sciences</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Xiaoyuan Ma</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>SKF Group</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Carlo Alberto Boano</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Graz University of Technology</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Xin Tian</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Shanghai Advanced Research Institute, Chinese Academy of Sciences</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Ye Liu</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Nanjing Agricultural University</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Jianming Wei</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Shanghai Advanced Research Institute, Chinese Academy of Sciences</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:title>Dataset: Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued> <dcat:keyword>LoRa</dcat:keyword> <dcat:keyword>ChirpBox</dcat:keyword> <dcat:keyword>Connectivity</dcat:keyword> <dcat:keyword>Link quality</dcat:keyword> <dcat:keyword>Internet of Things</dcat:keyword> <dcat:keyword>Physical layer settings</dcat:keyword> <dcat:keyword>SX1276</dcat:keyword> <dcat:keyword>Temperature</dcat:keyword> <dcat:keyword>Weather</dcat:keyword> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-09-17</dct:issued> <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/> <owl:sameAs rdf:resource="https://zenodo.org/record/5519724"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/5519724</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.4736501"/> <owl:versionInfo>v1.0.7</owl:versionInfo> <dct:description><p>This repository contains the long-term connectivity and link quality&nbsp;dataset collected on <a href="https://chirpbox.github.io/">ChirpBox</a>&nbsp;over 4&nbsp;months&nbsp;(May&nbsp;--&nbsp;September&nbsp;2021)&nbsp;in&nbsp;the&nbsp;city&nbsp;of&nbsp;Shanghai,&nbsp;China.&nbsp;</p> <p>In&nbsp;addition&nbsp;to&nbsp;the&nbsp;dataset&nbsp;itself,&nbsp;we&nbsp;provide&nbsp;evaluation&nbsp;scripts&nbsp;for&nbsp;data&nbsp;analysis&nbsp;and&nbsp;visualization,&nbsp;in&nbsp;order&nbsp;to&nbsp;facilitate&nbsp;data&nbsp;exploration&nbsp;and&nbsp;re-use. To make it clear how to use the scripts, we provide a <em>Jupyter notebook --&nbsp;</em><a href="https://zenodo.org/record/5512850/files/dataset.ipynb?download=1">dataset.ipynb</a>&nbsp;for dataset visualization. Please check the <a href="https://nbviewer.jupyter.org/urls/zenodo.org/record/5512850/files/dataset.ipynb/%3Fdownload%3D1">notebook viewer</a> for a preview.</p> <p><strong>List of files:</strong></p> <ol> <li><em>dataset_03052021_15092021.csv</em> <ul> <li>The dataset includes LoRa connectivity and link quality, as well as environmental information, collected from May 3 to September 15, 2021.</li> </ul> </li> <li><em>data_analysis.py</em> <ul> <li>The script for dataset analysis and visualization. One can use the functions in this script to derive network-level statistics (e.g., in terms of average number of correctly-exchanged packets), link-level statistics (e.g., in terms of SNR, RSS, and PRR), and node-level statistics(e.g., in terms of number of neighbours and temperature evolution over time).</li> </ul> <em>metadata_processing.py</em> <ul> <li>The script for pre-processing metadata into CSV files.</li> </ul> </li> <li><em>dataset.ipynb&nbsp;</em> <ul> <li>Jupiter notebook with dataset visualization and metadata pre-processing examples.</li> </ul> </li> <li><em>dataset_metadata.zip</em> <ul> <li>Metadata of the dataset&nbsp;in TXT and JSON formats.</li> </ul> </li> <li><em>topology_map.png</em> <ul> <li>A map of node deployment for creating topology maps.</li> </ul> </li> </ol></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5519724"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5519724"/> <dcat:byteSize>5623</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/5519724/files/readme.md"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5519724"/> <dcat:byteSize>622302</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/5519724/files/topology_map.png"/> <dcat:mediaType>image/png</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> </rdf:RDF>
All versions | This version | |
---|---|---|
Views | 621 | 11 |
Downloads | 725 | 11 |
Data volume | 211.2 GB | 3.1 MB |
Unique views | 326 | 8 |
Unique downloads | 284 | 6 |