cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2022.2
title: An investigation into best practice room design measures for post COVID-19 high-density residential buildings in Bangkok

description: During the COVID-19 pandemic many members of the general public have had to both live and work at home for prolonged periods in dwellings that were not designed for long periods of occupy without break. Current high-density residential buildings are typically designed around the thought that occupants will usually not be staying within their dwellings for most of the day and are not generally designed to properly accommodate the needs of a wide range of generations, or individuals working from home. This study investigates how to improve the design of the flats for better practicality and liveability in the new normal and beyond. Also, the study examines best practice models and key factors affecting the lifestyle, health and well-being of target occupants. The research for this work has been conducted through both critical literature review and in-depth interviews based on qualitative research principles. The literature review primarily focused on factors that affect wellbeing based on the existing WELL Building Standard V2, with additional best practices being investigated as appropriate. Furthermore, analysis was undertaken on the effects of COVID-19 restriction measures on wellbeing and how these may be addressed in part through design. Primary research was conducted through in-depth interviews with high-density high-rise residential building occupants, and in-depth interviews with experts on residential design focusing on the health, wellbeing, and environ-mental impacts of design measures, and technological integration. The results from occupants’ interviews identified various challenges. These include unsuitable working space, especially for rooms with one to two occupants; too much natural light causing glare and visual strain in key parts of the room; insufficient ventilation; and air pollution. Recommendations given by the experts interviewed focused primarily on redesigning layouts to provide more space for working and active life activities; the need to optimise light levels, the need to improve air quality and ventilation; and the need to take other issues, such as the benefits of contact with nature, into consideration.
DOI: 10.14457/tu.the.2021.500
title: The viability of storytelling by using cartoon media for marketing communication in Thailand business

description: Storytelling is the process of telling the content or story. Storytelling aims to make the audience understand what the narrator wants to convey, make the audience experience the narrative content, remember the storytellers' content or the main message, and finally, make the audience willing to tell the message or experience to others. Today, the role of storytelling exists in not only the entertainment and advertising industries, but it also plays a role in marketing communication and public relations strategies for creating memorable content for businesses in a wide variety of other industries. For example, cartoon characters and avatars have been extensively used in storytelling within industries primarily in advertising and the public relations process. However, the effectiveness of the use of storytelling tools in both private and public sectors as a marketing communication tool remains under-examined.This research aims to investigate the business opportunities that may exist, or be created, in both the public and private sectors by incorporating storytelling into general marketing communication of businesses, to give value and added memorability to businesses' brands, products, and services. In-depth interviews with both experts in marketing businesses and academia have been undertaken as part of this research. The results show that storytelling can have a significant and essential role to play in not only cartoon entertainment businesses but also in other businesses. Storytelling has two main roles in the marketing communication process. The first role of storying is a way to communicate with the target consumers. A second role is a tool for creating additional value and memorability in brands, products, and services, especially for consumers.
DOI: 10.14457/tu.the.2021.501
title: Thai consumers’ behaviour using video streaming platform during COVID-19 pandemic: a comparative analysis of Netflix and Viu

description: The development of new technologies, which has involved the shift from traditional analogue technologies to digital ones, has greatly changed consumers’ viewing behaviour. The growth of Over-The-Top (OTT) technology has increased due to emerging varieties of digital OTT platforms and improved internet service provisions. The use of OTT services or video streaming platforms is one of the activities on which people are now spending a significant proportion of their time, on average around three hours a day. In 2020, consumers’ behaviour worldwide changed because of the COVID-19 pandemic. The spread of COVID-19 has greatly affected lifestyles and consumers’ behaviour. In addition, physical distancing measures and lockdown measures used to prevent the spread of COVID-19 have forced people to stay at home instead of undertaking social activities such as going to concerts and cinemas. This study examines Thai consumers’ characteristics and behaviour when using video streaming platforms during both the pre-COVID-19 and COVID-19 pandemic periods. The analysis uses data obtained from online questionnaires to compare users’ behaviour between two types of platforms: (1) paid-subscription-based and (2) non-paid-subscription-based video streaming platforms. Specifically, it focuses on the two main video streaming platforms used most by Thais, namely Netflix and Viu. Netflix is a paid-subscription-based video streaming platform, while Viu is a non-paid-subscription-based video streaming platform. The study identifies consumers’ behaviour using video streaming platforms by comparing Netflix and Viu users during Pre-COVID-19 and during COVID-19. The result collected from 470 respondents from four groups of respondents consist of: (1) users who use only Netflix, (2) users who use only Viu, (3) users who use both Netflix and Viu, and (4) users who neither use Netflix nor Viu. The result shows that during the Pre-COVID-19 people has already subscribed Netflix and Viu but during the COVID-19 pandemic, people have the condition to stay more at home which is one of the reasons that affect an increasing number of subscriptions and use more frequently. The result also shows that respondents mostly choose the mobile as a device for watching video content and mostly has similar consuming behaviour. Other variables such as marketing mix strategy focuses on 4Ps (Product, Price, Place, and Promotion) influence users to use more video streaming services as well, and it is proposed that the results of this research could be useful for OTT services marketers and researchers to better understand OTT consumers’ preferences.
DOI: 10.5281/zenodo.7034534
title: Dataset for Network Intrusion Detection System on SCADA IEC 60870-5-104

description: Security is the main challenge in Supervisory Control and Data Acquisition (SCADA) systems since SCADA systems must be connected to heterogeneous networks to save costs. SCADA devices such as RTUs have limited resources, so a small-scale cyber attack on a computer network will have a major impact on the SCADA system. This study discusses the SCADA system with the IEC 60870-5-104 protocol which is widely used in the power plant industry. A physical testbed is built to simulate the electrical distribution process. The SCADA system in the distribution section is more vulnerable than other parts because it is located directly in the community environment so that many holes can be entered by attackers. The purpose of this study is to obtain relevant datasets in the SCADA system. The simulation carried out in this study is a normal communication between the HMI and the RTU, then attacked to disrupt the communication. The attack activities carried out are port scan, brute force and DoS. DoS attacks carried out are ICMP flood, Syn flood, and IEC 104 flood. IEC 104 flood attack is a modified attack to attack RTU where RTU is flooded with an unknown typeid ASDU (Application Service Data Unit). Attacks are carried out using Kali Linux operating system. All scenarios are recorded and saved in pcap. To prove that there is attack data traffic on the IDS dataset Snort and Suricata are used to detect it. In this study, there are also intrusion detection performance results from Snort and Suricata
DOI: 10.5281/zenodo.7034533
title: Dataset for Network Intrusion Detection System on SCADA IEC 60870-5-104

description: Security is the main challenge in Supervisory Control and Data Acquisition (SCADA) systems since SCADA systems must be connected to heterogeneous networks to save costs. SCADA devices such as RTUs have limited resources, so a small-scale cyber attack on a computer network will have a major impact on the SCADA system. This study discusses the SCADA system with the IEC 60870-5-104 protocol which is widely used in the power plant industry. A physical testbed is built to simulate the electrical distribution process. The SCADA system in the distribution section is more vulnerable than other parts because it is located directly in the community environment so that many holes can be entered by attackers. The purpose of this study is to obtain relevant datasets in the SCADA system. The simulation carried out in this study is a normal communication between the HMI and the RTU, then attacked to disrupt the communication. The attack activities carried out are port scan, brute force and DoS. DoS attacks carried out are ICMP flood, Syn flood, and IEC 104 flood. IEC 104 flood attack is a modified attack to attack RTU where RTU is flooded with an unknown typeid ASDU (Application Service Data Unit). Attacks are carried out using Kali Linux operating system. All scenarios are recorded and saved in pcap. To prove that there is attack data traffic on the IDS dataset Snort and Suricata are used to detect it. In this study, there are also intrusion detection performance results from Snort and Suricata
DOI: 10.25574/52001
title: Chandra X-ray Observatory ObsId 52001
DOI: 10.25574/52005
title: Chandra X-ray Observatory ObsId 52005
DOI: 10.25574/52012
title: Chandra X-ray Observatory ObsId 52012
DOI: 10.25574/52016
title: Chandra X-ray Observatory ObsId 52016
DOI: 10.25574/52020
title: Chandra X-ray Observatory ObsId 52020
DOI: 10.25574/52023
title: Chandra X-ray Observatory ObsId 52023
DOI: 10.25574/52029
title: Chandra X-ray Observatory ObsId 52029
DOI: 10.25574/52034
title: Chandra X-ray Observatory ObsId 52034
DOI: 10.25574/52039
title: Chandra X-ray Observatory ObsId 52039
DOI: 10.25574/52044
title: Chandra X-ray Observatory ObsId 52044
DOI: 10.25574/52049
title: Chandra X-ray Observatory ObsId 52049
DOI: 10.25574/52056
title: Chandra X-ray Observatory ObsId 52056
DOI: 10.25574/52058
title: Chandra X-ray Observatory ObsId 52058
DOI: 10.25574/52064
title: Chandra X-ray Observatory ObsId 52064
DOI: 10.25574/52072
title: Chandra X-ray Observatory ObsId 52072
DOI: 10.25574/52079
title: Chandra X-ray Observatory ObsId 52079
DOI: 10.25574/52082
title: Chandra X-ray Observatory ObsId 52082
DOI: 10.25574/52088
title: Chandra X-ray Observatory ObsId 52088
DOI: 10.25574/52096
title: Chandra X-ray Observatory ObsId 52096
DOI: 10.25574/52103
title: Chandra X-ray Observatory ObsId 52103
DOI: 10.25574/52108
title: Chandra X-ray Observatory ObsId 52108
DOI: 10.25574/52115
title: Chandra X-ray Observatory ObsId 52115
DOI: 10.25574/52121
title: Chandra X-ray Observatory ObsId 52121
DOI: 10.25574/52127
title: Chandra X-ray Observatory ObsId 52127
DOI: 10.25574/52129
title: Chandra X-ray Observatory ObsId 52129
DOI: 10.25574/52140
title: Chandra X-ray Observatory ObsId 52140
DOI: 10.25574/52150
title: Chandra X-ray Observatory ObsId 52150
DOI: 10.25574/52157
title: Chandra X-ray Observatory ObsId 52157
DOI: 10.25574/52165
title: Chandra X-ray Observatory ObsId 52165
DOI: 10.25574/52184
title: Chandra X-ray Observatory ObsId 52184
DOI: 10.25574/52186
title: Chandra X-ray Observatory ObsId 52186
DOI: 10.25574/52192
title: Chandra X-ray Observatory ObsId 52192
DOI: 10.25574/52204
title: Chandra X-ray Observatory ObsId 52204
DOI: 10.25574/52211
title: Chandra X-ray Observatory ObsId 52211
DOI: 10.25574/52227
title: Chandra X-ray Observatory ObsId 52227
DOI: 10.25574/52239
title: Chandra X-ray Observatory ObsId 52239
DOI: 10.25574/52241
title: Chandra X-ray Observatory ObsId 52241
DOI: 10.25574/52245
title: Chandra X-ray Observatory ObsId 52245
DOI: 10.5517/ccdc.csd.cc2b0h40
title: CCDC 2145421: Experimental Crystal Structure Determination

description: Related Article: Rishi R. Sapkota, Raj Kumar Tak, Vivek Aryal, Doleshwar Niroula, Nicholas C. Secosky, Roshan K. Dhungana, Ramesh Giri|2022|Org.Lett.|24|6213|doi:10.1021/acs.orglett.2c02531
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8zn8
title: CCDC 2153590: Experimental Crystal Structure Determination

description: Related Article: Ruksana Akhtar, Sandeep H. Kaulage, Mayur P. Sangole, Srinu Tothadi, Parameswaran Parvathy, Pattiyil Parameswaran, Kirandeep Singh, Shabana Khan|2022|Inorg.Chem.|61|13330|doi:10.1021/acs.inorgchem.2c01233
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b908y
title: CCDC 2153609: Experimental Crystal Structure Determination

description: Related Article: Ruksana Akhtar, Sandeep H. Kaulage, Mayur P. Sangole, Srinu Tothadi, Parameswaran Parvathy, Pattiyil Parameswaran, Kirandeep Singh, Shabana Khan|2022|Inorg.Chem.|61|13330|doi:10.1021/acs.inorgchem.2c01233
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsqb6
title: CCDC 2168708: Experimental Crystal Structure Determination

description: Related Article: Fuwan Zhai, Baoyu Li, Liangwei Yang, Xing Dai, Chengyu Liang, Chuanqin Xia, Zhifang Chai, Yaxing Wang, Shuao Wang|2022|Inorg.Chem.|61|13256|doi:10.1021/acs.inorgchem.2c01525
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bv44h
title: CCDC 2170066: Experimental Crystal Structure Determination

description: Related Article: Robert Pearce-Higgins, Larissa N. Hogenhout, Philip J. Docherty, David M. Whalley, Padon Chuentragool, Najung Lee, Nelson Y. S. Lam, Thomas M. McGuire, Damien Valette, Robert J. Phipps|2022|J.Am.Chem.Soc.|144|15026|doi:10.1021/jacs.2c06529
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bw9sb
title: CCDC 2171202: Experimental Crystal Structure Determination

description: Related Article: Robert Pearce-Higgins, Larissa N. Hogenhout, Philip J. Docherty, David M. Whalley, Padon Chuentragool, Najung Lee, Nelson Y. S. Lam, Thomas M. McGuire, Damien Valette, Robert J. Phipps|2022|J.Am.Chem.Soc.|144|15026|doi:10.1021/jacs.2c06529
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bw9tc
title: CCDC 2171203: Experimental Crystal Structure Determination

description: Related Article: Robert Pearce-Higgins, Larissa N. Hogenhout, Philip J. Docherty, David M. Whalley, Padon Chuentragool, Najung Lee, Nelson Y. S. Lam, Thomas M. McGuire, Damien Valette, Robert J. Phipps|2022|J.Am.Chem.Soc.|144|15026|doi:10.1021/jacs.2c06529
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bzdsj
title: CCDC 2174178: Experimental Crystal Structure Determination

description: Related Article: Fabio Marchetti, Alessia Tombesi, Corrado Di Nicola, Riccardo Pettinari, Federico Verdicchio, Alessandra Crispini, Francesca Scarpelli, Cecilia Baldassarri, Elisa Marangoni, Anders Hofer, Agustín Galindo, Riccardo Petrelli|2022|Inorg.Chem.|61|13561|doi:10.1021/acs.inorgchem.2c02201
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bzdtk
title: CCDC 2174179: Experimental Crystal Structure Determination

description: Related Article: Fabio Marchetti, Alessia Tombesi, Corrado Di Nicola, Riccardo Pettinari, Federico Verdicchio, Alessandra Crispini, Francesca Scarpelli, Cecilia Baldassarri, Elisa Marangoni, Anders Hofer, Agustín Galindo, Riccardo Petrelli|2022|Inorg.Chem.|61|13561|doi:10.1021/acs.inorgchem.2c02201
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bzdvl
title: CCDC 2174180: Experimental Crystal Structure Determination

description: Related Article: Fabio Marchetti, Alessia Tombesi, Corrado Di Nicola, Riccardo Pettinari, Federico Verdicchio, Alessandra Crispini, Francesca Scarpelli, Cecilia Baldassarri, Elisa Marangoni, Anders Hofer, Agustín Galindo, Riccardo Petrelli|2022|Inorg.Chem.|61|13561|doi:10.1021/acs.inorgchem.2c02201
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c29md
title: CCDC 2176963: Experimental Crystal Structure Determination

description: Related Article: Corey A. Richards, Nigam P. Rath, Jamie M. Neely|2022|Inorg.Chem.|61|13266|doi:10.1021/acs.inorgchem.2c01980
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c67vp
title: CCDC 2180752: Experimental Crystal Structure Determination

description: Related Article: Liliana Capulín Flores, Lucas A. Paul, Inke Siewert, Remco Havenith, Noé Zúñiga-Villarreal, Edwin Otten|2022|Inorg.Chem.|61|13532|doi:10.1021/acs.inorgchem.2c02168
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c67wq
title: CCDC 2180753: Experimental Crystal Structure Determination

description: Related Article: Liliana Capulín Flores, Lucas A. Paul, Inke Siewert, Remco Havenith, Noé Zúñiga-Villarreal, Edwin Otten|2022|Inorg.Chem.|61|13532|doi:10.1021/acs.inorgchem.2c02168
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c67xr
title: CCDC 2180754: Experimental Crystal Structure Determination

description: Related Article: Liliana Capulín Flores, Lucas A. Paul, Inke Siewert, Remco Havenith, Noé Zúñiga-Villarreal, Edwin Otten|2022|Inorg.Chem.|61|13532|doi:10.1021/acs.inorgchem.2c02168
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8zrc
title: CCDC 2153593: Experimental Crystal Structure Determination

description: Related Article: Ruksana Akhtar, Sandeep H. Kaulage, Mayur P. Sangole, Srinu Tothadi, Parameswaran Parvathy, Pattiyil Parameswaran, Kirandeep Singh, Shabana Khan|2022|Inorg.Chem.|61|13330|doi:10.1021/acs.inorgchem.2c01233
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c79fc
title: CCDC 2181762: Experimental Crystal Structure Determination

description: Related Article: Ruksana Akhtar, Sandeep H. Kaulage, Mayur P. Sangole, Srinu Tothadi, Parameswaran Parvathy, Pattiyil Parameswaran, Kirandeep Singh, Shabana Khan|2022|Inorg.Chem.|61|13330|doi:10.1021/acs.inorgchem.2c01233
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.