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29 March 2024
Data | Invitation to Read the Newly Selected Papers from the Editor’s Choice Articles
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Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
We invite you to read the newly selected Editor’s Choice Articles. We have selected twelve of these papers to display here. The paper list is as follows:
“Elliott State Research Forest Timber Cruise, Oregon, 2015–2016”
by Todd West and Bogdan M. Strimbu
Data 2024, 9(1), 16; https://doi.org/10.3390/data9010016
Available online: https://www.mdpi.com/2306-5729/9/1/16
“A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma”
by Félix Quinton, Romain Popoff, Benoît Presles, Sarah Leclerc, Fabrice Meriaudeau, Guillaume Nodari, Olivier Lopez, Julie Pellegrinelli, Olivier Chevallier, Dominique Ginhac et al.
Data 2023, 8(5), 79; https://doi.org/10.3390/data8050079
Available online: https://www.mdpi.com/2306-5729/8/5/79
“Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework”
by Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Russel Plenkers, Tom McElroy, Stephan Dulaney and Sajida Shabanali
Data 2023, 8(1), 18; https://doi.org/10.3390/data8010018
Available online: https://www.mdpi.com/2306-5729/8/1/18
“Traffic Sign Detection and Classification on the Austrian Highway Traffic Sign Data Set”
by Alexander Maletzky, Nikolaus Hofer, Stefan Thumfart, Karin Bruckmüller and Johannes Kasper
Data 2023, 8(1), 16; https://doi.org/10.3390/data8010016
Available online: https://www.mdpi.com/2306-5729/8/1/16
“PERSIST: A Multimodal Dataset for the Prediction of Perceived Exertion during Resistance Training”
by Justin Amadeus Albert, Arne Herdick, Clemens Markus Brahms, Urs Granacher and Bert Arnrich
Data 2023, 8(1), 9; https://doi.org/10.3390/data8010009
Available online: https://www.mdpi.com/2306-5729/8/1/9
“UNIPD-BPE: Synchronized RGB-D and Inertial Data for Multimodal Body Pose Estimation and Tracking”
by Mattia Guidolin, Emanuele Menegatti and Monica Reggiani
Data 2022, 7(6), 79; https://doi.org/10.3390/data7060079
Available online: https://www.mdpi.com/2306-5729/7/6/79
“Dataset: Roundabout Aerial Images for Vehicle Detection”
by Enrique Puertas, Gonzalo De-Las-Heras, Javier Fernández-Andrés and Javier Sánchez-Soriano
Data 2022, 7(4), 47; https://doi.org/10.3390/data7040047
Available online: https://www.mdpi.com/2306-5729/7/4/47
“Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks”
by Usman Ali, Giuseppe Caso, Luca De Nardis, Konstantinos Kousias, Mohammad Rajiullah, Özgü Alay, Marco Neri, Anna Brunstrom and Maria-Gabriella Di Benedetto
Data 2022, 7(3), 34; https://doi.org/10.3390/data7030034
Available online: https://www.mdpi.com/2306-5729/7/3/34
“A Mixture Hidden Markov Model to Mine Students’ University Curricula”
by Silvia Bacci and Bruno Bertaccini
Data 2022, 7(2), 25; https://doi.org/10.3390/data7020025
Available online: https://www.mdpi.com/2306-5729/7/2/25
“#PraCegoVer: A Large Dataset for Image Captioning in Portuguese”
by Gabriel Oliveira dos Santos, Esther Luna Colombini and Sandra Avila
Data 2022, 7(2), 13; https://doi.org/10.3390/data7020013
Available online: https://www.mdpi.com/2306-5729/7/2/13
“A Repertoire of Virtual-Reality, Occupational Therapy Exercises for Motor Rehabilitation Based on Action Observation”
by Emilia Scalona, Doriana De Marco, Maria Chiara Bazzini, Arturo Nuara, Adolfo Zilli, Elisa Taglione, Fabrizio Pasqualetti, Generoso Della Polla, Nicola Francesco Lopomo, Maddalena Fabbri-Destro et al.
Data 2022, 7(1), 9; https://doi.org/10.3390/data7010009
Available online: https://www.mdpi.com/2306-5729/7/1/9
We thank all the research groups that submitted these exceptional papers to Data (ISSN: 2306-5729). Please circulate this document among your colleagues.
If you would like to learn more about the Editor’s Choice Articles, please visit the following link: https://www.mdpi.com/journal/data/editors_choice.