cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/rmutk.the.2021.17
title: The Effect of the marketing mix on the satisfaction of Chinese tourism in revisiting Lijiang, China

description: Lijiang has rich tourism resources, and tourism has become one of the essential pillar industries of Yunnan's tourism economy. Tourism resources limit the development of tourism and the value it creates and is primarily influenced by the management level and the city's overall image, which is closely related to the overall development and planning of the city. Tourists' tourism environment, psychological feelings about tourism products, and tourist satisfaction are essential for urban tourism resource development and planning. Tourist satisfaction is developed from the satisfaction of customers. Customer satisfaction is the quantitative expression of the customer's psychological feelings about a specific business. This study aims to investigate and analyze the satisfaction of different types of tourists visiting Lijiang, China, to understand the needs and expectations of tourists visiting Lijiang and thus to serve as the Lijiang Brigade. Current research explores the characteristics of marketing 7Ps, which can easily affect customers' revisit intentions. The research results of this article are for establishing the theoretical significance of customer satisfaction, improving the overall analysis from a comprehensive perspective, and ultimately achieving the practical goal of increasing the return rate of tourists. This will help the tourism industry find what they lack and provide guidance and progress. This study suggests that understanding consumers' return intention contributes to the sustainable management of enterprises. The research results are helpful for tourism operators to understand better the marketing mix in the Lijiang region, which is an integral part of developing effective marketing methods to improve customer satisfaction and return visit intention. The results show that marketing mix (7P's) positively affects customer satisfaction, and customer satisfaction positively affects customer revisit intention.
DOI: 10.6084/m9.figshare.21946532
title: Euparkeria simulation joint angles from Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <i>Euparkeria capensis</i>

description: Angles for all joints for the 16 OpenSim simulations
DOI: 10.6084/m9.figshare.21946532.v1
title: Euparkeria simulation joint angles from Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <i>Euparkeria capensis</i>

description: Angles for all joints for the 16 OpenSim simulations
DOI: 10.6084/m9.figshare.21946535
title: Model parameters estimates and OpenSim muscle parameters from Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <i>Euparkeria capensis</i>

description: Model parameters based on different estimation methods and their resulting optimal fibre length and isometric Fmax for OpenSim
DOI: 10.6084/m9.figshare.21946535.v1
title: Model parameters estimates and OpenSim muscle parameters from Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <i>Euparkeria capensis</i>

description: Model parameters based on different estimation methods and their resulting optimal fibre length and isometric Fmax for OpenSim
DOI: 10.6084/m9.figshare.21946541
title: Muscle parameter comparison from Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <i>Euparkeria capensis</i>

description: Muscle architectural parameters of Euparkeria and extant saurians
DOI: 10.6084/m9.figshare.21946541.v1
title: Muscle parameter comparison from Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <i>Euparkeria capensis</i>

description: Muscle architectural parameters of Euparkeria and extant saurians
DOI: 10.6084/m9.figshare.21946544.v1
title: COM moments for Euparkeria from Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <i>Euparkeria capensis</i>

description: Moment calculations for the different Euparkeria models
DOI: 10.6084/m9.figshare.21946544
title: COM moments for Euparkeria from Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <i>Euparkeria capensis</i>

description: Moment calculations for the different Euparkeria models
DOI: 10.6084/m9.figshare.19560517.v1
title: New Model-Free Daily Inversion of NOx Emissions using TROPOMI (MCMFE-NOx): Deducing a See-Saw of Halved Well Regulated Sources and Doubled New Sources

description: This dataset contains all of the data underlying the figures in the accompanying paper "70% Increase in Northwest China’s NOx Emissions Driven by Increases from New Sources and Simultaneous Reductions in Well-Regulated Sources". These are listed respectively as: fig2.mat fig3.mat fig4.mat fig5.mat fig6.mat All subplots are respectively given as fig2a, fig2b, etc. <br> The daily emissions dataset, and monthly a1, a2, and a3 datasets are respectively found in the file dailyresults.mat <br> Supplemental Figures S1-ii, S2-ii, and S3-ii are respectively zipped inside of S1.zip, S2.zip, and S3.zip. The underlying data is given in SuppFigs.mat
DOI: 10.5281/zenodo.7549778
title: Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau

description: Current remote sensing techniques fail to observe and generate large scale multi-layer soil moisture (SM) due to the inherent features of the satellite sensors. The lack of comprehensive understanding of multi-layer SM hinders the sustainable development of agriculture, hydrology, and food security. In order to overcome the depth barrier of traditional SM assimilation and downscaling methods, we developed a Two-step Multi-layer SM Downscaling (TMSMD) framework by fusing multi-source remotely sensed, reanalysis, and in-situ data through both machine learning and state-of-the-art deep learning models to generate multi-layer SM. The produced multi-layer SM was characterized by high resolution (1 km), high spatio-temporal continuity (cloud-free and daily), and high accuracy (i.e., 3H data). Firstly, the coarse resolution SMAP SM was downscaled to 1 km spatial resolution using LightGBM to weaken the effects of scale mismatch issue and provide high-resolution input for the subsequent calibration. Results indicated that the downscaled SMAP SM remained high consistency with the original SMAP SM product. With the high-resolution inputs, we calibrated the downscaled SMAP SM using multi-layer in-situ SM through state-of-the-art attention-based LSTM. Results demonstrated that the average PCC, RMSE, ubRMSE, and MAE were improved by 22.3%, 50.7%, 26.2%, and 56.7% compared to SMAP L4 SM while 38.5%, 52.1%, 29.5%, and 58.7% compared to downscaled SMAP SM. Further spatio-temporal and comparative analysis confirmed that the multi-layer SM produced by the TMSMD framework had excellent performance in capturing the spatial and temporal dynamics. In conclude, the proposed TMSMD framework successfully generated 3H multi-layer SM data and is promising for accurate assessment and monitoring in agriculture, water resources, and environmental domains. The remaining data will be uploaded soon.
DOI: 10.5281/zenodo.7549777
title: Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau

description: Current remote sensing techniques fail to observe and generate large scale multi-layer soil moisture (SM) due to the inherent features of the satellite sensors. The lack of comprehensive understanding of multi-layer SM hinders the sustainable development of agriculture, hydrology, and food security. In order to overcome the depth barrier of traditional SM assimilation and downscaling methods, we developed a Two-step Multi-layer SM Downscaling (TMSMD) framework by fusing multi-source remotely sensed, reanalysis, and in-situ data through both machine learning and state-of-the-art deep learning models to generate multi-layer SM. The produced multi-layer SM was characterized by high resolution (1 km), high spatio-temporal continuity (cloud-free and daily), and high accuracy (i.e., 3H data). Firstly, the coarse resolution SMAP SM was downscaled to 1 km spatial resolution using LightGBM to weaken the effects of scale mismatch issue and provide high-resolution input for the subsequent calibration. Results indicated that the downscaled SMAP SM remained high consistency with the original SMAP SM product. With the high-resolution inputs, we calibrated the downscaled SMAP SM using multi-layer in-situ SM through state-of-the-art attention-based LSTM. Results demonstrated that the average PCC, RMSE, ubRMSE, and MAE were improved by 22.3%, 50.7%, 26.2%, and 56.7% compared to SMAP L4 SM while 38.5%, 52.1%, 29.5%, and 58.7% compared to downscaled SMAP SM. Further spatio-temporal and comparative analysis confirmed that the multi-layer SM produced by the TMSMD framework had excellent performance in capturing the spatial and temporal dynamics. In conclude, the proposed TMSMD framework successfully generated 3H multi-layer SM data and is promising for accurate assessment and monitoring in agriculture, water resources, and environmental domains. The remaining data will be uploaded soon.
DOI: 10.5281/zenodo.7567194
title: JG-based FASTA index for bwa-mem2

description: This dataset contains the JG-based index files for bwa-mem 2. We created these with <em>bwa-mem index</em> command using jg.2.1.0.fa(https://jmorp.megabank.tohoku.ac.jp). As it takes much memory to execute the command, we prepared this dataset.
DOI: 10.5281/zenodo.7567193
title: JG-based FASTA index for bwa-mem2

description: This dataset contains the JG-based index files for bwa-mem 2. We created these with <em>bwa-mem index</em> command using jg.2.1.0.fa(https://jmorp.megabank.tohoku.ac.jp). As it takes much memory to execute the command, we prepared this dataset.
DOI: 10.5281/zenodo.7567375
title: Tagman Dataset

description: <strong>Tagman Dataset </strong> The dataset offers annotated code snippets for three code smells— multifaceted abstraction[2], [19], complex method [20], and long parameter list [1].
DOI: 10.5281/zenodo.7567374
title: Tagman Dataset

description: <strong>Tagman Dataset </strong> The dataset offers annotated code snippets for three code smells— multifaceted abstraction[2], [19], complex method [20], and long parameter list [1].
DOI: 10.14457/rmutk.doc.2022.2
title: เทคโนโลยีการเชื่อม
DOI: 10.25919/b8nd-af80
title: Parkes observations for project P1152 semester 2022APRS_14

description: A large population of millisecond pulsars (MSPs) is expected in the Galactic bulge and is supported, among others, by the existence of a spatially extended gamma-ray excess emission discovered in Fermi-LAT data towards the inner Galaxy. Discovering MSPs in the Galactic bulge, would be a major breakthrough with strong impact onto several fields. In Berteaud et al. [2021a, 2021b], we have designed a new method to select bulge MSP candidates among Chandra X-ray cataloged sources. We also analysed imaging data of the VLA and identified 5 potential bulge MSP candidates, detected both with Chandra and VLA. Here we propose to follow up these 5 sources with the UWL receiver system on Parkes, which has the unique potential of probe their MSP nature thanks to multi-band, deep, observations. With the requested time, for two high-priority candidates, we will be able identify any bulge MSP with a pulse period P &gt; 1 ms. Three targets at lower priority can be identified as bulge MSP if their period is larger than 4 ms. Our goal is to provide the first multi-wavelength diagnostics of bulge MSPs, gather information about the MSP/pulsar ratio among the bulge X-ray candidates, and, finally, unveil the nature of the mysterious Fermi-LAT excess.
DOI: 10.25919/jvc2-5v65
title: Parkes observations for project P1171 semester 2022OCTS_05

description: The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts. Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, since objects of this type have been previously identified as FRB hosts. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve.
DOI: 10.25919/8ga8-0n09
title: ASKAP Data Products for Project AS035 (ASKAP Early Science Widefield HI Survey): Continuum derived data products

description: The ASKAP Widefield ASKAP L-band Legacy All-sky Blind Survey (WALLABY) survey targeted the Eridanus galaxy group during the pre-pilot commissioning phase of ASKAP. Two overlapping footprints (each with 5.5 degrees x 5.5 degrees FOV) using a 6x6 beam pattern configuration, rotated by 45 degrees were observed in March 2019. These 2 footprints are centred at 03:39:30.0 -22:30:00.0 and 03:36:44.5 -22:37:54.7. This data collection is a co-added mosaic of both footprints that span the higher frequency half (144 MHz) of ASKAP's Band 2. This is the continuum data products including the mosaicked image, simplified and extended source catalogues from the Eridanus pre-pilot WALLABY observations. The simplified source catalogue contains 12 columns of key information including source ID's, positions, fluxes and errors, and size. The extended catalogue contains 41 columns and includes all ProFound outputs.
DOI: 10.14457/rmutk.the.2021.15
title: การศึกษาสมบัติและการขึ้นรูปผลิตภัณฑ์สิ่งทอจากผ้าฝ้ายถักชุบมันด้วยแอมโมเนียเหลวและย้อมด้วยสีครามจากธรรมชาติ

description: วัตถุประสงค์ของงานวิจัยนี้เพื่อศึกษาสมบัติและการขึ้นรูปผลิตภัณฑ์สิ่งทอจากผ้าฝ้ายถักชุบมันด้วยแอมโมเนียเหลวและย้อมด้วยสีครามจากธรรมชาติ โครงสร้างของผ้าฝ้ายถักคือ ซิงเกิ้ลเจอร์ซี พีเก้ และอินเทอร์ล็อก ผ้าทั้งหลายเหล่านี้ชุบมันด้วยแอมโมเนียเหลว จากนั้นผ้าที่ผ่านการชุบมันย้อมด้วยครามธรรมชาติที่สภาวะต่าง ๆ ท้ายที่สุดผ้าทั้งหลายเหล่านี้ได้ขึ้นรูปเป็นผลิตภัณฑ์สิ่งทอ ผลจากการศึกษาพบว่ากระบวนการชุบมันไม่มีผลกระทบต่อน้ำหนักของผ้าฝ้าย ความคงทนของสีต่อการซักและการขัดถู รวมทั้งกระบวนการชุบมันช่วยปรับปรุงการยืดและการหดภายหลังจากการซัก การดูดน้ำ และความเรียบของผ้า ความสัมพันธ์ระหว่างโครงสร้างของผ้าและสมบัติทางกายภาพ ภายหลังจากการชุบมันได้ตรวจสอบ มันพบว่าโครงสร้างแบบอินเทอร์ล็อกมีน้ำหนักของผ้าสูงที่สุดและหดตัวน้อยที่สุด โครงสร้างแบบพีเก้แสดงการดูดน้ำดีที่สุด แต่อย่างไรก็ตามโครงสร้างของผ้าที่ผ่านการชุบมันไม่มีผลต่อความคงทนของสีต่อการซักและการทดสอบความคงทนต่อการขัดถู สำหรับ การย้อมผ้าที่ผ่านการชุบมันด้วยคราม ภาวะที่เหมาะสมต่อการย้อมคือ การย้อมที่อุณหภูมิห้อง ด้วยครามเปียกที่มีความเข้มข้น 200 กรัม/ลิตร ไธโอยูเรียไดออกไซด์ความเข้มข้น 60 กรัม/ลิตร และโซเดียมไฮดรอกไซด์ความเข้มข้น 60 กรัม/ลิตร ภายหลังจากการย้อมความคงทนของสีของผ้าฝ้ายที่ไม่ผ่านการชุบมันและผ้าฝ้ายที่ผ่านการชุบมันนำมาเปรียบเทียบ มันพบว่าผ้าฝ้ายที่ผ่านการชุบมันมีความคงทนของสีต่อการซัก ต่อน้ำ และเหงื่อดีกว่าผ้าฝ้ายที่ไม่ผ่านการชุบมัน สมบัติของผ้าฝ้ายที่ผ่านการปรับปรุงเหมาะสมสำหรับการขึ้นรูปของผลิตภัณฑ์สิ่งทอต่าง ๆ ได้แก่ เสื้อยืด
DOI: 10.14457/rmutk.the.2022.11
title: The influence of online communities on consumers’ purchase intentions: based on the modified technology acceptance model

description: This paper presents the research of the impact of online communities on consumers' shopping intentions with online consumers in Chengdu, Sichuan Province , China as sample s . Past studies have revealed the reasons for consumers' online shopping. However, with the continuous development of online communities , the online community has beg u n to impact consumers' online shopping intentions This research aims to reveal the influencing factors of online communities on consumers' shopping intentions by sampling 371 participants in Chengdu, Sichuan Province, China and using structural equation model for data analysis. The research results show that the perceived expectation match is the most important factor affecting consumers' shopping intentions. Cognitive trust and perceived usefulness have a positive impact on perceived expectation match and purchase intentions. This research provides a reference and effective model for marketers to formulate marketing strategies and advertising in online communities
DOI: 10.5281/zenodo.7566001
title: Dataset incr1 - NGS-based S. aureus typing and outbreak analysis in clinical microbiology laboratories: lessons learned from a Swiss-wide proficiency test

description: Supplemental material of article "NGS-based S. aureus typing and outbreak analysis in clinical microbiology laboratories: lessons learned from a Swiss-wide proficiency test" by D. Dylus et al. Please refer to Methods therein. FASTQ datasets for increment 1.
description: {"references": ["Dylus D, Pillonel T, Opota O, W\u00fcthrich D, Seth-Smith HMB, Egli A, Leo S, Lazarevic V, Schrenzel J, Laurent S, Bertelli C, Blanc DS, Neuenschwander S, Ramette A, Falquet L, Imkamp F, Keller PM, Kahles A, Oberhaensli S, Barbi\u00e9 V, Dessimoz C, Greub G, Lebrand A. NGS-Based S. aureus Typing and Outbreak Analysis in Clinical Microbiology Laboratories: Lessons Learned From a Swiss-Wide Proficiency Test. Front Microbiol. 2020 Nov 24;11:591093. doi: 10.3389/fmicb.2020.591093. PMID: 33424794; PMCID: PMC7793906."]}
DOI: 10.5517/ccdc.csd.cc26htl4
title: CCDC 2040996: Experimental Crystal Structure Determination

description: Related Article: Wataru Matsuoka, Kou P. Kawahara, Hideto Ito, David Sarlah, Kenichiro Itami|2022|J.Am.Chem.Soc.|145|658|doi:10.1021/jacs.2c11338
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.cc26htm5
title: CCDC 2040997: Experimental Crystal Structure Determination

description: Related Article: Wataru Matsuoka, Kou P. Kawahara, Hideto Ito, David Sarlah, Kenichiro Itami|2022|J.Am.Chem.Soc.|145|658|doi:10.1021/jacs.2c11338
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.cc26htn6
title: CCDC 2040998: Experimental Crystal Structure Determination

description: Related Article: Wataru Matsuoka, Kou P. Kawahara, Hideto Ito, David Sarlah, Kenichiro Itami|2022|J.Am.Chem.Soc.|145|658|doi:10.1021/jacs.2c11338
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.cc26htp7
title: CCDC 2040999: Experimental Crystal Structure Determination

description: Related Article: Wataru Matsuoka, Kou P. Kawahara, Hideto Ito, David Sarlah, Kenichiro Itami|2022|J.Am.Chem.Soc.|145|658|doi:10.1021/jacs.2c11338
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.cc28hrzj
title: CCDC 2100528: Experimental Crystal Structure Determination

description: Related Article: Jiang-Shan Ma, Han-Yu Lu, Ye-Wei Chen, Wei-Cheng Zhao, Yu-Ze Sun, Rui-Peng Li, Hu-Xiao Wang, Guo-Qiang Lin, Zhi-Tao He|2022|Nat. Synth.|2|37|doi:10.1038/s44160-022-00176-4
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: 10.21227/3rj4-s615
title: SCBiGNet

description:  The drawback of inter-subcarrier interference in OFDM systems makes the channel estimation and signal detection performance of OFDM systems with few pilots and short cyclic prefixes (CP) poor. Thus, we use deep learning to assist OFDM in recovering nonlinearly distorted transmission data. Specifically, we use a self-normalizing network (SNN) for channel estimation, combined with a convolutional neural network (CNN) and a bidirectional gated recurrent unit (BiGRU) for signal detection, thus proposing a novel SNN-CNN-BiGRU network structure (SCBiGNet).
DOI: 10.6084/m9.figshare.19354988
title: Registered clinical trials investigating treatment of long COVID: a scoping review and recommendations for research

description: A considerable proportion of individuals report persistent, debilitating and disparate symptoms despite resolution of acute COVID-19 infection (i.e. long COVID). Numerous registered clinical trials investigating treatment of long COVID are expected to be completed in 2021–2022. The aim of this review is to provide a scope of the candidate treatments for long COVID. A synthesis of ongoing long COVID clinical trials can inform methodologic approaches for future studies and identify key research vistas. Scoping searches were conducted on multiple national and international clinical trial registries. Interventional trials testing treatments for long COVID were selected. The search timeline was from database inception to 28 July 2021. This scoping review included 59 clinical trial registration records from 22 countries with a total projected enrolment of 6718. Considerable heterogeneity was exhibited amongst component records with respect to the characterization of long COVID (i.e. name, symptoms- including frequency, intensity, trajectory and duration- mode of ascertainment, and definition of acute phase). In addition, the majority of proposed interventions were non-pharmacological and either targeted multiple long COVID symptoms simultaneously, or focussed on treatment of respiratory/pulmonary sequelae. Multiple interventions targeted inflammation, as well as tissue oxygenation and cellular recovery, and several interventions were repurposed from analogous conditions. The results of this scoping review investigating ongoing clinical trials testing candidate treatments for long COVID suggest that a greater degree of definitional stringency and homogeneity is needed insofar as the characterization of long COVID and inclusion/exclusion criteria.