cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vnbrmt6dgr.2
title: Survey Data on Perceptions of Economic Risk in Indonesia (SPREI)

description: This dataset compiles data collected from 134 respondents in Indonesia in 2023, including policymakers, entrepreneurs, managers, academicians, and experts in different fields. The survey gathered insights on 26 risks and their projected effects on Indonesia's economy over the coming one, two, and ten years. It also collects data on risk management preparedness and relevant stakeholders in dealing with these risks. This dataset is valuable for identifying potential risks, assessing their severity, evaluating the efficacy of economic risk management, and analyzing the anticipated influence in the next two and ten years. The survey encompasses diverse risk categories, encompassing emerging concerns like food security, financial, ecological, societal, geopolitical, and technological risks. This information proves invaluable in pinpointing critical issues such as environmental threats, technological disruptions, and socio-economic vulnerabilities that may arise in the foreseeable future. Offering academicians, businesses, and policymakers essential insights, this dataset aids in foreseeing and mitigating potential crises, thereby enhancing resilience and promoting sustainable development in Indonesia's complex landscape. This dataset contributes to well-informed policy formulation by identifying pivotal risks and potential consequences and encourages collaborative endeavors to address Indonesia's most pressing challenges.
DOI: 10.17632/vnbrmt6dgr.3
title: Survey Data on Perceptions of Economic Risk in Indonesia (SPREI)

description: This dataset compiles data collected from 134 respondents in Indonesia in 2023, including policymakers, entrepreneurs, managers, academicians, and experts in different fields. The survey gathered insights on 26 risks and their projected effects on Indonesia's economy over the coming one, two, and ten years. It also collects data on risk management preparedness and relevant stakeholders in dealing with these risks. This dataset is valuable for identifying potential risks, assessing their severity, evaluating the efficacy of economic risk management, and analyzing the anticipated influence in the next two and ten years. The survey encompasses diverse risk categories, encompassing emerging concerns like food security, financial, ecological, societal, geopolitical, and technological risks. This information proves invaluable in pinpointing critical issues such as environmental threats, technological disruptions, and socio-economic vulnerabilities that may arise in the foreseeable future. Offering academicians, businesses, and policymakers essential insights, this dataset aids in foreseeing and mitigating potential crises, thereby enhancing resilience and promoting sustainable development in Indonesia's complex landscape. This dataset contributes to well-informed policy formulation by identifying pivotal risks and potential consequences and encourages collaborative endeavors to address Indonesia's most pressing challenges.
DOI: 10.14457/nida.the.2003.394
title: ปัจจัยที่มีผลต่อประสิทธิภาพการปฏิบัติงานของพนักงาน
DOI: 10.17632/zdxh36vxh3.1
title: Data set

description: Supplementary material for the article "Daring and distress: Insights on adolescent risk taking and difficulties in emotion regulation from a network analysis perspective."
DOI: 10.14457/nida.the.1995.10
title: ทัศนคติต่อภาวะโลกาภิวัตน์ของผู้นำชุมชนชนบท : กรณีศึกษา : อำเภอแปลงยาว จังหวัดฉะเชิงเทรา
DOI: 10.14457/nida.the.2017.157
title: แนวทางการพัฒนาองค์การประเภทธุรกิจธนาคารสู่องค์การแห่งการเรียนรู้ กรณีศึกษา ธนาคารกรุงเทพ จำกัด (มหาชน)
DOI: 10.14457/nida.the.1995.11
title: ระดับความต้องการรับการนิเทศงานสาธารณสุขมูลฐานของบุคลากรสาธารณสุข กองอนามัยและสิ่งแวดล้อมของเทศบาล
DOI: 10.14457/nida.the.2003.395
title: ปัจจัยที่มีความสัมพันธ์กับความเครียดและความคาดหวังของพนักงานบริษัท ท่าอากาศยานไทย จำกัด (มหาชน) หลังการปฏิรูปองค์การ พ.ศ. 2002
DOI: 10.14457/nida.the.1989.3
title: การวิเคราะห์โครงสร้างการบริหารงานและประสิทธิผลของหน่วยการปกครองท้องถิ่น : ศึกษาเปรียบเทียบระหว่างสุขาภิบาลและเทศบาล
DOI: 10.14457/nida.the.1999.12
title: ทัศนคติของนักศึกษาพยาบาลที่มีต่อการประกอบวิชาชีพพยาบาล : ศึกษาเฉพาะกรณีวิทยาลัยพยาบาลตำรวจ
DOI: 10.17632/265wyk8r3f.1
title: Eukaryotic-like gephyrin and cognate membrane receptor coordinate corynebacterial cell division and polar elongation

description: SUPPORTING DATA:
 
Data from the manuscript of Martinez et al., "Eukaryotic-like gephyrin and cognate membrane receptor coordinate corynebacterial cell division and polar elongation”

- Actinobacteria_species/
	- RAW/
		- *.fasta
		Sequences aligned to reconstruct the phylogeny presented in Figure 5c and Extended Data Figure 7.
		- *.aln
		Alignments used to reconstruct the phylogeny (before trimming).
		- *.trim
		Trimmed alignments used to reconstruct the phylogeny.
	- Actinobacteria_species.fasta: 
	Concatenation alignment used to reconstruct the phylogeny in Figure 5c and Extended Data Figure 7. Corresponds to the concatenation of proteins RNApol subunits β and β' and IF-2.
	- Actinobacteria_species.treefile: 
	Phylogeny presented in Figure 5c and Extended Data Figure 7 in newick format
	- Actinobacteria_species.pdf: 
	Phylogeny presented in Figure 5c and Extended Data Figure 7 in pdf format

- MoeA-like_Actinobacteria/
	- MoeA-like_Actinobacteria.fasta: 
	Sequences aligned to reconstruct the phylogeny presented in Figure 5a.
	- MoeA-like_Actinobacteria.aln: 
	Alignment used to reconstruct the phylogeny (before trimming).
	- MoeA-like_Actinobacteria.trim: 
	Trimmed alignment used to reconstruct the phylogeny.
	- MoeA-like_Actinobacteria.treefile: 
	Phylogeny presented in Figure 5a in newick format.
	- MoeA-like_Actinobacteria.pdf: 
	Phylogeny presented in Figure 5a in pdf format.
	- MoeA-like_Actinobacteria_extended.aln: 
	Extended alignment present in Figure 5b.

- MoeA-like_Bacteria/
	- MoeA-like_Bacteria.fasta: 
	Sequences aligned to reconstruct the phylogeny presented in Extended Data Figure 6a.
	- MoeA-like_Bacteria.aln: 
	Alignment used to reconstruct the phylogeny (before trimming).
	- MoeA-like_Bacteria.trim: 
	Trimmed alignment used to reconstruct the phylogeny.
	- MoeA-like_Bacteria.treefile: 
	Phylogeny presented in Extended Data Figure 6a in newick format.
DOI: 10.17632/97knh7zgkk.1
title: NOD2 and allergic lung inflammation 

description: We hypothesized that sensors of the bacterial cell wall muropeptides influenced allergenic lung inflammation, which we tested in female NOD1 or NOD2 knockout mice fed an obesogenic high fat diet (HFD).
DOI: 10.17632/47vj3yyb5v.1
title: Dataset on Bilateral Idiopathic Carpal Tunnel Syndrome: Crossover Study of Two Combined Physiotherapeutic Treatment Methods on Chirurgical and Clinical Patients

description: This data describe a randomized controlled crossover trial of 73 participants with idiopathic bilateral carpal tunnel syndrome (CTS) who underwent two combined physiotherapeutic treatment methods: myofascial mobilization (IASTM) and stretching; on chirurgical and clinical conditions.

Patients were randomly assigned to two groups: starting with stretching followed by IASTM and starting with IASTM followed by stretching. Then 43 patients underwent surgery on the hand with more severe involvement and physical therapy rehabilitation was started 30 days after for a period of 4 weeks. After the 1-week interval the participants who started with stretching were referred to IASTM and vice versa, following the same previous patterns. The outpatient reassessments took place at 3 to 6 months.

Likewise, for another 30 patients who did not undergo surgery (clinical patients) we followed the same protocol: selected at random into two groups: starting with stretching followed by IASTM or starting with IASTM followed by stretching. Before starting therapy, patients were assessed (baseline). Both stretching and IASTM were performed in two sessions per week over a period of four weeks, according to standardized protocols. After the one-week interval (wash-out 1), outcome measures were collected at time 1. Next, participants who initially performed stretching were referred to IASTM and vice-versa, following the same patterns as before. Assessment at time 2 occurred after a second interval period (wash-out 2), and outpatient reevaluations were done three and six months after time 2.

The sample allocation and the design of the experiment that originated this database are better illustrated in the Flowchart.pdf file.
DOI: 10.17632/tv9kxjp8z2.1
title: Recognition of Damage Types on the Great Wall Surface Based on Machine Learning: Taking the Shanhaiguan Great Wall as an Example(Training set for machine learning)

description: The Shanhaiguan Great Wall is a part of the Ming dynasty Great Wall, which is a world heritage site. Its basic structure is filled with rammed earth and gray bricks on both sides. Due to environmental influences, gray bricks on the surface will catch some damages, resulting in a decline in the quality of their structure and even threatening their safety. Traditional surface damage detection is mainly based on manual identification or manual identification after UAV aerial photography, and this will be costly in human resources. This paper uses the YOLOv4 machine learning model, taking the surface gray brick of the plain Great Wall of Shanhaiguan as an example. By slicing and labeling the photos, creating a training set, and then training the model, it automatically finds four types of damage (chalking, plant, ubiquinol, and cracking) on the surface of the Great Wall, which will solve the problem of costly human resources for manual identification after aerial photography, allowing the work to progress faster.
DOI: 10.17632/tv9kxjp8z2.2
title: Nondestructive Testing Research on the Surface Damage Faced by the Shanhaiguan Great Wall Based on Machine Learning

description: The Shanhaiguan Great Wall is a section of the Great Wall of the Ming Dynasty, which is a UNESCO World Heritage Site. Both sides of its basic structure are composed of rammed earth and gray bricks. The surface gray bricks sustain damage from environmental factors, resulting in a decline in their structural quality and even a threat to their safety. Traditional surface damage detection methods rely primarily on manual identification or manual identification following unmanned aerial vehicle (UAV) aerial photography, which is labor-intensive. This paper applies the YOLOv4 machine learning model to the gray surface bricks of the Plain Great Wall of Shanhaiguan as an illustration. By slicing and labeling the photos, creating a training set, and then training the model, the proposed approach automatically detects four types of damage (chalking, plants, ubiquinol, and cracking) on the surface of the Great Wall. This eliminates the need to expend costly human resources for manual identification following aerial photography, thereby accelerating the work. Through research, it is found that (1) compared with manual detection, this method can quickly and efficiently monitor a large number of wall samples in a short period of time and improve the efficiency of brick wall detection in ancient buildings. (2) Compared with previous approaches, the accuracy of the current method is improved. The identifiable types are increased to include chalking and ubiquinol, and the accuracy rate increases by 0.17% (from 85.70% before to 85.87% now). (3) This method can quickly identify the damaged parts of the wall without damaging the appearance of the historical building structure, enabling timely repair measures.
DOI: 10.25340/r4/yc7rao
title: Related Data for: Leisure travel as process: Understanding the relationship between leisure travel and subjective well-being among older adults

description: This exploratory paper contributes to a theorization of the relationship between leisure travels and subjective well-being (SWB) among older adults. Although it is generally agreed that leisure travel contributes to one’s mental well-being, the processes that lead to various forms of well-being are often understudied. It is argued that a more nuanced understanding of these processes can lead to better appreciation of the meanings of travel for the older adults. Semi-structured in-depth interviews were conducted with 30 older travellers to garner their thoughts on how leisure travels have contributed to their SWB. Through a thematic analysis of travel narratives, four recurring themes, namely (1) reminiscing the past, (2) bonding with family members, (3) rediscovering self and (4) forming informal networks of care (RBRiC), were identified as processes leading to various elements of SWB among older adults. Although non-exhaustive, these processes reveal the embodied meanings and experiences of travel for the individual and can potentially lead to more meaningful discussions on how various aspects of SWB are attained.
DOI: 10.17632/sffkd6yrst.1
title: Effect of extracorporeal shock waves on neuromuscular junctions versus carpal tunnel syndrome

description: Objective:to determine effectiveness of using extracorporeal shockwave therapy (ESWT) directly on the NMJ versus using it on injuries that exert pressure on the nerve such as (CTS). Background: The nervous system can be affected by many conditions and disorders that can disrupt its normal functioning and transmission of impulses, such as the destruction of neuromuscular junctions or pressure on nerves, such as carpal tunnel syndrome. Methods: The review was carried out by searching scientifically recognized medical databases, including PubMed, Scopus, Biomed, National Library of Medicine, Science direct library, Sage Journals and Spinger Link. Date restrictions were not applied. Conclusion: Preliminary research on extracorporeal shockwave therapy for carpal tunnel syndrome has shown encouraging results, leading to recommendations for its potential use as a treatment modality. However, the current literature examining shockwave therapy for neuromuscular junction dysfunction is limited. Further studies through high-quality human trials are still needed.
DOI: 10.17632/75n2txrp9d.1
title: An Exploration of Sustainability and Supply Chain Management Practises in the Oil and Gas Industry: A Systematic Review of Practises and Implications

description: The research study titled "An Exploration of Sustainability and Supply Chain Management Practices in the Oil and Gas Industry: A Systematic Review of Practices and Implications" has collected data from two prominent academic databases, Web of Science and Scopus.

Web of Science, a comprehensive citation index, provides data on scholarly articles, conference proceedings, and research papers from various academic disciplines. The data collection involved searching for articles related to sustainability, supply chain management, and the oil and gas industry. The inclusion criteria focused on articles published in the last decade and those that directly discussed or analysed sustainability practices within the oil and gas supply chain.

Scopus, another reputable bibliographic database, offers a wide range of scholarly literature, including journals, conference proceedings, and patents. The data collected from Scopus followed a similar process to that of Web of Science, involving keyword-based searches, refinement of search results based on predefined criteria, and selection of relevant articles for the systematic review.

The data from both databases provided a comprehensive pool of scholarly articles and research papers related to sustainability and supply chain management practices in the oil and gas industry. These articles covered topics such as environmental impact mitigation, social responsibility, economic viability, and innovative approaches within the context of the oil and gas supply chain.

The systematic review aims to synthesize and analyze the findings from the selected articles, highlighting common themes, emerging trends, and implications for sustainable supply chain practices in the oil and gas sector. This approach ensures that the study is grounded in a rigorous analysis of the existing literature and contributes meaningful insights to the field of sustainability and supply chain management in the oil and gas industry.
DOI: 10.17632/7pxm963y3t.1
title: lymphatic metastatic size in HNSCC

description: lymphatic metastatic size in HNSCC
DOI: 10.17632/7pxm963y3t.2
title: lymphatic metastatic size in HNSCC

description: lymphatic metastatic size in HNSCC
DOI: 10.17632/4cgy5zb2c6.1
title: Select symbionts drive high IgA levels in the mouse intestine 

description: Immunoglobulin A (IgA) is an important factor to maintain homeostasis at mucosal surfaces. Levels of luminal IgA can vary widely; the current model suggests total IgA levels are driven by individual immune responses to specific microbes. Here, we found the prebiotic, pectin oligosaccharide (pec-oligo), induced high-IgA levels in the small intestine in a T cell-dependent manner. Surprisingly, this IgA-high phenotype was retained after cessation of pec-oligo treatment and was readily transmissible by bacteria both horizontally and vertically in the absence of pec-oligo. Interestingly, we noted a mismatch comparing the bacterial taxa enriched in the overall pec-oligo bacterial community versus the IgA-coated microbes in this same community. We found a small group of ethanol-resistant microbes, highly enriched for Lachnospiraceae bacterium A2, drove the IgA-high phenotype. Our findings support a model of intestinal adaptive immunity in which a limited number of microbes can promote durable changes in IgA directed to many symbionts.
DOI: 10.17632/9j6std925r.1
title: Nuclear Engineering and Technology Journal titles dataset and LSA outputs

description: The dataset consists of data on articles from the Nuclear Engineering and Technology journal and the different outputs of each step of Latent Semantic Analysis (LSA) applied to the data. The following are the contents of the Excel file:

Tab 1: All articles and related bibliographic and other data until 2023
Tab 2: The titles of 2643 articles between 2013-2023 used for LSA.
Tab 3: Term-document-matrix (TDM) consisting of the occurence count of term i in document j.
Tab 4: The same TDM weighted with TF-iDF.
Tab 5: The Singular values of the Singular Value Decomposition (SVD) output S matrix, the squares of the singular values, cumulative percentages, and a scatter plot of the squared singular values against the dimensionality.
Tab 6: The output semantic U matrix with dimensionality of 100 describing terms vectors.
Tab 7-8: The 2D coordinates and t-SNE plots of the top 20, 100 and 500 vectors ranked by TF-iDF.
Tab 9: Common Ngrams parsed from the dataset for interest.
DOI: 10.17632/wznc6btfh9.1
title: ToC ALGI

description: Binary AI-CA-GA ANT Swarm of virtual , dots defined  audio  transmission -Data System basic TAGGING origonted in mapp-ping qualities progress in photonics, lasers, cavity diodes & arrays (satellites)
DOI: 10.17632/xn455k9jch.1
title: COVID-19 Patients' Dataset

description: This is a comprehensive dataset that includes statistics of COVID-19 patients (infected, death, recovered).
DOI: 10.17632/9sw6vyfw29.1
title: Malay Lexicon Project 2 (MLP2)

description: The goal of the present study was to extend research on morphological processing beyond European languages. Here we focused on Malay, an Austronesian language that is morphologically rich. Our primary aim was to facilitate research on morphological processing in Malay by augmenting the Malay Lexicon Project (MLP; Yap et al., 2010), a database containing lexical information for almost 10,000 words, by including a breakdown of the words into morphemes as well as morphological properties for those morphemes. MLP2 is useful for a wide range of psycholinguistic studies on morphological processing in Malay.  We chose to call it MLP2 to convey that this database is a work in progress, and it is hoped that more word characteristics will be added in the years to come to facilitate an even greater range of studies on Malay word recognition. Such research is needed if we are to develop a truly universal theory of reading.

Malay Lexicon Project 2: Morphology in Malay word recognition (in press, accepted May 19 2022). In this article, we illustrate one way the data available in MLP2 could be used to examine Malay morphology.

Below you may download and use our database with English headers (MLP2_Eng.csv) or Malay headers (MLP2_Malay.csv) that is accompanied by a readme file (readme_MLP2.txt). Our trial level data is available in LDT_data.csv.
DOI: 10.17632/9sw6vyfw29.2
title: Malay Lexicon Project 2 (MLP2)

description: The goal of the present study was to extend research on morphological processing in an understudied language. Here we focused on Malay, an Austronesian language that is morphologically rich. Our primary aim was to facilitate research on morphological processing in Malay by augmenting the Malay Lexicon Project (MLP; Yap et al., 2010), a database containing lexical information for almost 10,000 words, by including a breakdown of the words into morphemes as well as morphological properties for those morphemes. MLP2 is useful for a wide range of psycholinguistic studies on morphological processing in Malay.  We chose to call it MLP2 to convey that this database is a work in progress, and it is hoped that more word characteristics will be added in the years to come to facilitate an even greater range of studies on Malay word recognition. Such research is needed if we are to develop a truly universal theory of reading.

Malay Lexicon Project 2: Morphology in Malay word recognition (Maziyah Mohamed, Yap, Chee, & Jared, 2023). In this article, we illustrate one way the data available in MLP2 could be used to examine Malay morphology.

Below you may download and use our database with English headers (MLP2_Eng.csv) or Malay headers (MLP2_Malay.csv) that is accompanied by a readme file (readme_MLP2.txt). Our trial level data for 1,264 words is available in LDT_data.csv. ***NOTE: If interested, please see update below.

Update - Aug 23 2023
- Two new files are added: An updated database with additional RTs and corrections (MLP2_Engupdated2.csv), and trial level data for an additional 1,280 words.
- Available on OSF
DOI: 10.17632/gx7cb7fnv4.1
title: Distinguishing fine structure and summary representation of sound textures from neural activity

description: Raw Electroencephalogram (EEG) data and codes for the analyses described in Berto et al., 2023 ("Distinguishing fine structure and summary representation of sound textures from neural activity").  

****
This dataset contains EEG data recorded from 24 healthy participants with normal hearing. Participants listened to continuous sound streams and were required to perform an orthogonal task. The continuous sounds consisted of triplets of sounds, where two were identical (repeated) and one was different (novel). The novel sound could vary for its acoustic details (Local Features) or global structure (Summary Statistics). To ensure disentangling between local and summary properties, we employed a computational approach by McDermott and Simoncelli (2011) and create synthetic sounds with similar auditory statistics but different local features and vice-versa. Since summary statistics are computed over time, we manipulated the amount of information by employing sounds of three different durations: short (40ms), medium (209ms), and long (478ms). We expected changes in local features to elicit higher evoked responses at short durations and changes in summary statistics at long ones. We also measured whether the temporal resolution at which the change occurs (local vs. summary) was encoded by different temporal scales of neural oscillations.