http://researchdatafinder.qut.edu.au/display/n9197http://researchdatafinder.qut.edu.au/display/n9197
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n19425http://researchdatafinder.qut.edu.au/display/n19425
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n47576http://researchdatafinder.qut.edu.au/display/n47576
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n32185http://researchdatafinder.qut.edu.au/display/n32185
Data for the paper Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool, Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar, DICTA 2020. QUT Research Data Respository Dataset Resource available for download
http://researchdatafinder.qut.edu.au/display/n1251http://researchdatafinder.qut.edu.au/display/n1251
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n41478http://researchdatafinder.qut.edu.au/display/n41478
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n1802http://researchdatafinder.qut.edu.au/display/n1802
QUT Research Data Respository Dataset and Resources
This collection is data sets from participant groups in the QUT MODC Project.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This is an RO-crate of searchable aggregate data derived from the Digital Observatory's Australian Twittersphere collection (AuTS). It contains ro-crates for 1-grams, 3-grams, 3-grams with emojis, domains and hashtags. Additionally, it includes a PDF guide to the AuTS.
http://researchdatafinder.qut.edu.au/display/n15078http://researchdatafinder.qut.edu.au/display/n15078
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n147399http://researchdatafinder.qut.edu.au/display/n147399
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n14660http://researchdatafinder.qut.edu.au/display/n14660
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n32624http://researchdatafinder.qut.edu.au/display/n32624
QUT Research Data Respository Dataset and Resources
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Validation Data for the ACRV Robotic Vision Challenge 1. See https://competitions.codalab.org/competitions/21727. Synthetic image data generated using Unreal Engine 4. QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n8901http://researchdatafinder.qut.edu.au/display/n8901
This dataset contains four subsets of data, and are related to my PhD Thesis. These are outlined below: Transit Network Dataset: A novel transit network for researchers to use when addressing the Transit Network Planning Problem. The network is ba... QUT Research Data Respository Dataset and Resources
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
The Australian Twittersphere is a longitudinal collection of tweets from a periodically updated list of Twitter accounts that were identified as Australian (i.e., have a stated connection to Australia in the free text fields of the account profile). Since its establishment six years ago, over 1.9 billion tweets have been collected from more than 1 million Twitter accounts considered to be Australian. The earliest tweet captured was posted on 9 January 2007.
http://researchdatafinder.qut.edu.au/display/n29803http://researchdatafinder.qut.edu.au/display/n29803
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n4626http://researchdatafinder.qut.edu.au/display/n4626
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n10274http://researchdatafinder.qut.edu.au/display/n10274
This is the data set that accompanies the manuscript - High-pressure ozone-induced dissociation for lipid structure elucidation on fast chromatographic timescales - by Berwyck L.J. Poad, Martin Green, Jayne M Kirk, Nick Tomczyk, Todd W Mitchell, a... QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n97441http://researchdatafinder.qut.edu.au/display/n97441
QUT Research Data Respository Dataset and Resources
http://researchdatafinder.qut.edu.au/display/n9197http://researchdatafinder.qut.edu.au/display/n9197
QUT Research Data Respository Dataset and Resources