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Material Type: Datasets
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Light Detection and Ranging (LiDAR)-based Forest Inventory and Land Classification Map 2020 of the University of British Columbia (UBC) Vancouver CampusDOI: 10.5683/SP2/KYVQWMDigital Resources/Online E-Resources |
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Material Type: Datasets
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NetiNeti : Discovery of Scientific Names from Text Using Machine Learning Methods Figure 1DOI: 10.1575/1912/4965Digital Resources/Online E-Resources |
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Material Type: Datasets
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Data from: Rapid and accurate taxonomic classification of insect (Class Insecta) cytochrome c oxidase subunit 1 (COI) DNA barcode sequences using a naïve Bayesian classifierDOI: 10.5061/dryad.bc8pcDigital Resources/Online E-Resources |
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Material Type: Datasets
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Research data supporting "Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy"Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0 ;DOI: 10.17863/CAM.6923Digital Resources/Online E-Resources |
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Material Type: Datasets
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Software, Data & Models used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science"CC0 1.0 Universal Public Domain Dedication http://creativecommons.org/publicdomain/zero/1.0Digital Resources/Online E-Resources |
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Material Type: Datasets
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Aerosol particle size distribution during the Reef To Rainforest campaignCC-BY-4.0: Creative Commons Attribution 4.0 International (License comes into effect after moratorium ends) Access constraints: access rights needed info:eu-repo/semantics/restrictedAccessDigital Resources/Online E-Resources |
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Material Type: Datasets
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Application of classifier sequences in the task of state analysis of Internet of Things devicesSt. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems, 2020, Vol.13 (3), p.44 [Peer Reviewed Journal]2020. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2304-9766 ;DOI: 10.18721/JCSTCS.13304Full text available |
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Material Type: Datasets
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Supplemental Information for Generating an Aerosol of Homogeneous, Non-Spherical Particles and Measuring their Bipolar Charge DistributionAttribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0 ;DOI: 10.17863/CAM.60031Digital Resources/Online E-Resources |