cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mxd3kvsrcr.2
title: Diseño de un Sillín de Motocicletas con Tecnología de Tonfort Máximo y Aire 3D Transpirable: Vigilancia Tecnológica

description: La vigilancia tecnológica aplicada al diseño de sillas de motocicletas permite identificar una serie de innovaciones emergentes que están transformando la experiencia de conducción, con un enfoque en la ergonomía, el confort y la seguridad. En este sentido, uno de los avances más destacados es el uso de materiales inteligentes y adaptativos, como las espumas viscoelásticas y los geles de alta densidad. Estos materiales tienen la capacidad de ajustarse a la forma del cuerpo del conductor, distribuyendo de manera uniforme el peso y reduciendo los puntos de presión. Esta tecnología no solo mejora el confort, sino que también disminuye el riesgo de desarrollar problemas musculoesqueléticos asociados con el uso prolongado de motocicletas.
Otro avance importante es la incorporación de sistemas de suspensión integrados en los asientos, diseñados para absorber las vibraciones generadas durante la conducción. Esta innovación es especialmente relevante en zonas rurales como el departamento del Magdalena, donde las condiciones de las vías secundarias y terciarias pueden aumentar el impacto de las vibraciones sobre el cuerpo del conductor. La ventilación y transpirabilidad de los asientos también ha sido un área de gran innovación, con el desarrollo de tecnología de aire 3D que permite un flujo constante de aire alrededor del cuerpo del conductor. Esto es particularmente útil en climas cálidos, donde la acumulación de calor y sudor puede generar incomodidad y, en casos extremos, irritación de la piel. Los asientos equipados con esta tecnología están diseñados para mejorar la transpirabilidad, proporcionando un mayor confort en condiciones climáticas adversas. La tendencia hacia la personalización y ajustabilidad de los asientos está ganando terreno en la industria, permitiendo que los conductores modifiquen la altura, el ángulo y la firmeza del asiento según sus necesidades específicas. Esta característica es especialmente importante para mejorar la ergonomía, ya que permite adaptarse a diferentes tipos de cuerpos y estilos de conducción. Un asiento adaptable puede reducir significativamente el riesgo de lesiones musculoesqueléticas, ya que facilita la adopción de una postura correcta durante la conducción.
Otra tendencia emergente es la integración de sensores inteligentes en los asientos para monitorear la postura del conductor y su estado físico durante la conducción. Estos sensores pueden detectar posiciones incorrectas y alertar al conductor para que ajuste su postura, lo que contribuye a mejorar tanto la seguridad como el confort.
DOI: 10.17632/wtxg8xbcrx.1
title: The Evolution of Omnichannel in Digital Era: A Bibliometric Analysis

description: Data mining from the Scopus database on publications on the topic of omnichannel from 2010 to 2023.
DOI: 10.17632/hwb7dgcmfx.1
title: Exploring the impact of physico-chemical elements on phytoplankton distribution adjacent to the Digha-Talsari coastline along the Bay of Bengal, India

description: This is a qualitative and quantitative data. There are two types of data one is physicochemical raw data which is gathered from study site and another type of data is cell count data which is generated from microscpic observation. All physicochemical parameters and cell count data were interpreted with the help of PAST software version 4.03. CCA was performed to determine the relationship between phytoplankton taxa and physicochemical parameters. Karl Pearson's Correlation coefficients were calculated between physicochemical parameters and total phytoplankton abundance and p-value less than 0.05. The data are collected every month and figured out in every season.
DOI: 10.17632/fvs4jnnpjn.1
title: Impact of Abusive Supervision on EE

description: This study examines the impact of abusive supervision on EE, IT and CWB
DOI: 10.17632/gvg58g38n3.1
title: Comparing the Spatial and Temporal Evolution of Land Surface Temperature and Driving Factors in Chinese 19 Urban Agglomerations

description: China has experienced rapid expansion of urban agglomerations (UAs) in the past decades, whose negative influence affected the sustainable development of the ecological environment. However, few studies explored the long-term evolution features of these UAs and their thermal effect at the national scale by comparing UAs with different sizes. This study employed MODIS land surface temperature (LST) data to analyze the spatial and temporal evolution characteristics of LST from 2000 to 2020 and investigated its potential underlying mechanisms. The results indicated that the urban heat island (UHI) effect in urban areas was predominantly concentrated in core cities and their surrounding areas. A 10% increase in Urban Agglomeration Built-up Area Intensity (UABI) of national-level, regional-level, and city-level UAs resulted in a corresponding LST change of 1.33°C, 1.15°C, and 1.71°C, respectively, demonstrating a marginal effect. The dominant driving factors were quite different among different level UAs with the help of Geo-detector analysis. Usually, UABI and Gross Domestic Product (GDP) were the primary driving factors of LST in UAs, while Population density (POP) and Night light index (NLI) exhibited weaker effects. However, the in-tersection of UABI and Normalized Difference Vegetation Index (NDVI) has the most significant impact on LST in national-level UAs, while UABI and Digital Elevation Model (DEM) played a crucial role in both regional-level and city-level UAs. The decrease of LST was primarily influenced by the intersections of POP with NDVI. These findings aimed to provide a robust scientific and theoretical basis for mitigating the UHI effect in UAs, thereby promoting sustainable urban de-velopment.
DOI: 10.17632/fvs4jnnpjn.2
title: Impact of Abusive Supervision on EE

description: This study examines the impact of abusive supervision on Emotional Exhaustion, ITQ and CWB
DOI: 10.17632/96jwzrp7fd.1
title: ITC-Net-MingledApp: A comprehensive dataset of mixed mobile application traffic for robust network traffic classification, domain adaptation, and generalization in diverse environments - Qom Dataset

description: This repository is part of the ITC-NetMingledApp dataset, which includes network traffic data from 36 Android applications, with each capture featuring concurrent traffic from multiple applications and smartphones.
This repository contains data related to the Iran-Qom scenario. Each capture is stored in a compressed file containing the relevant PCAP files of the associated applications. 
The PCAP files are named according to a convention: {TimeStamp}_{Application Name}{Download-Upload Speed}.pcap
DOI: 10.17632/6s5nrr2jtz.1
title: Análisis de la Eficiencia Energética de las Configuraciones de Electrolisis como Purificador de Agua: Vigilancia Tecnológica

description: La eficiencia energética de las configuraciones de electrólisis en la potabilización del agua varía según el método. La electrólisis directa, aunque simple y de bajo costo, puede requerir más energía cuando se trata agua con baja conductividad o alta contaminación. La electrodiálisis es más eficiente energéticamente para desalinización y eliminación de sales, pero su complejidad aumenta los costos. La electrocoagulación es eficiente en la eliminación de sólidos y metales sin necesidad de productos químicos adicionales, mientras que la electroflotación es efectiva para tratar grandes volúmenes de agua con grasas y partículas suspendidas, aunque su consumo energético puede elevarse según la concentración de contaminantes.
DOI: 10.5281/zenodo.13268722
title: Supplementary Dataset for V8s: An Edge/Cloud Deployable Kubernetes Task Offloading Framework for Smart Vehicles

description: The supplementary dataset related to the plots in the paper "V8s: An Edge/Cloud Deployable Kubernetes Task Offloading Framework for Smart Vehicles" is published on this page. You can download the zip file with the following contents:

 

exec-time/├── edge-face-detect.csv├── edge-object-recognition.csv├── nano-face-detect.csv├── nano-gpu-object-recognition.csv├── nano-object-recognition.csv├── rahti-face-detect.csv├── rahti-object-recognition.csv├── rahti2-face-detect.csv├── rahti2-object-recognition.csv├── ras-face-detect.csv└── ras-object-recognition.csvlatency/├── 5g.csv (when accessing the edge server using 5GTN connectivity)├── edge.csv (when accessing the edge server using WiFi and VPN)└── rahti-cloud.csv (when accessing the Rahti using WiFi)

 

 

There are two folders in the dataset, one is for the latency information when using 5G connection and WiFi connection when using the resources. The other folder is for the execution time of the two implemented applications --- object recognition and face detection --- using the V8s framework in various execution environments.

The file size is about 209 MiB.
DOI: 10.5281/zenodo.13268723
title: Supplementary Dataset for V8s: An Edge/Cloud Deployable Kubernetes Task Offloading Framework for Smart Vehicles

description: The supplementary dataset related to the plots in the paper "V8s: An Edge/Cloud Deployable Kubernetes Task Offloading Framework for Smart Vehicles" is published on this page. You can download the zip file with the following contents:

 

exec-time/├── edge-face-detect.csv├── edge-object-recognition.csv├── nano-face-detect.csv├── nano-gpu-object-recognition.csv├── nano-object-recognition.csv├── rahti-face-detect.csv├── rahti-object-recognition.csv├── rahti2-face-detect.csv├── rahti2-object-recognition.csv├── ras-face-detect.csv└── ras-object-recognition.csvlatency/├── 5g.csv (when accessing the edge server using 5GTN connectivity)├── edge.csv (when accessing the edge server using WiFi and VPN)└── rahti-cloud.csv (when accessing the Rahti using WiFi)

 

 

There are two folders in the dataset, one is for the latency information when using 5G connection and WiFi connection when using the resources. The other folder is for the execution time of the two implemented applications --- object recognition and face detection --- using the V8s framework in various execution environments.

The file size is about 209 MiB.
DOI: 10.6084/m9.figshare.25721757.v2
title: DUO dataset

description: The annotations folder contains tags in. json format for training, testing, and verification sets.The labels folder contains labels in. txt format for training, testing and verification sets, which is convenient for yolo model.The images folder contains pictures of the training, testing and verification sets of the original DUO data set.The Gamma_clahe_image folder contains the pictures of the training, testing and verification set of the data set after the image enhancement of the Gamma_clahe algorithm.There are 6671 pictures in the training set, 1111 pictures in the test set and 1111 pictures in the verification set. The total number of targets in the data set is 74,515, of which the numbers of sea cucumber, echinacorus japonicus, scallop and starfish are 7,887, 50,156, 1924 and 14,548 respectively.
DOI: 10.15468/dl.max6ex
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Material sample)",
 "DatasetKey is MVZ Herp Collection (Arctos)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 8edbbde0-055e-11d8-b850-b8a03c50a862",
 "TaxonKey is Pseudoeurycea conanti Bogert, 1967",
 "Year 1950-2024"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045445-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/a78b6b99-3fdf-4ae0-97b0-3b618b00805e
title: Supplementary data for the paper 'Social robots in education: A meta-analysis of learning outcomes'

description: Previous meta-analyses have shown that social robots have a positive impact on learning. However, these analyses were often limited in scope or had problematic inclusion criteria, such as different control conditions. In this meta-analysis, we examined learning outcomes with more studies and a focus on the type of control conditions. Studies were included if they used a physical social robot for training cognitive skills. We retrieved a total of 147 studies, comprising 184 post-test effect sizes between robot and control group, and 377 pre-post effect sizes. Results from 79 studies with post-test effect sizes showed that social robots produced larger learning gains compared to no intervention (Mean <em>d</em> = 0.75). Additionally, participants in the robot group, on average, learned more than those in a control group with a human teacher (Mean <em>d</em> = 0.30), although there was considerable variability in the effect sizes, largely attributable to whether human and robot were co-teaching (<em>M</em> = 0.88) or whether the study involved a robot-only vs. human teacher comparison (<em>M</em> = -0.07). Pre-post effects are mostly greater than 0 (Mean <em>d</em> = 1.08), which can be explained because learning inevitably occurs with practice. A sentiment analysis using a large language model revealed that papers from outside Europe used more positive language when describing the robots. The conclusion drawn from the current meta-analysis is that the effect size does not stand on its own but is influenced by the way the robot is used and the control condition chosen.
DOI: 10.4121/a78b6b99-3fdf-4ae0-97b0-3b618b00805e.v2
title: Supplementary data for the paper 'Social robots in education: A meta-analysis of learning outcomes'

description: Previous meta-analyses have shown that social robots have a positive impact on learning. However, these analyses were often limited in scope or had problematic inclusion criteria, such as different control conditions. In this meta-analysis, we examined learning outcomes with more studies and a focus on the type of control conditions. Studies were included if they used a physical social robot for training cognitive skills. We retrieved a total of 147 studies, comprising 184 post-test effect sizes between robot and control group, and 377 pre-post effect sizes. Results from 79 studies with post-test effect sizes showed that social robots produced larger learning gains compared to no intervention (Mean <em>d</em> = 0.75). Additionally, participants in the robot group, on average, learned more than those in a control group with a human teacher (Mean <em>d</em> = 0.30), although there was considerable variability in the effect sizes, largely attributable to whether human and robot were co-teaching (<em>M</em> = 0.88) or whether the study involved a robot-only vs. human teacher comparison (<em>M</em> = -0.07). Pre-post effects are mostly greater than 0 (Mean <em>d</em> = 1.08), which can be explained because learning inevitably occurs with practice. A sentiment analysis using a large language model revealed that papers from outside Europe used more positive language when describing the robots. The conclusion drawn from the current meta-analysis is that the effect size does not stand on its own but is influenced by the way the robot is used and the control condition chosen.
DOI: 10.17632/5ybkzhyp8y.1
title: O-GlcNAcylation: A Morphologic Regulator of Osteoblast Differentiation

description: To explore the potential mechanisms which O-linked-Nacetylglucosaminylation (O-GlcNAcylation) regulates osteogenesis, a publicly RNA-seq dataset was re-analyzed with literature-mining and showed the primary targets of O-GlcNAcylation in osteoblasts are mitochondria/cytoskeleton. Although the O-GlcNAcylation-regulated mitochondria/cytoskeleton has been extensively studied, its specific role during osteogenesis remains unclear. To address this, we knocked out Ogt (Ogt-KO) in MC3T3-E1 osteoblastic cells. Then, significantly reduced osteoblast differentiation, motility, proliferation, mitochondria-endoplasmic reticulum (Mito-ER) coupling, volume of ER, nuclear tubulins, and oxygen metabolism were observed in Ogt-KO cells. Through artificial intelligence (AI)-predicted cellular structures, the time-lapse live cells imaging with reactive-oxygen-species/hypoxia staining showed that lower cell proliferation and altered oxygen metabolism in the Ogt-KO cells were correlated with the Mito-ER coupling. Bioinformatics analysis, combined with correlated mRNA and protein expression, suggested that Ezh2 and its downstream targets (Opa1, Gsk3a, Wnt3a, Hif1a, and Hspa9) may be involved in O-GlcNAcylation-regulated Mito-ER coupling, ultimately impacting osteoblast differentiation. In conclusion, our findings indicate that O-GlcNAcylation-regulated osteoblast differentiation is linked to morphological changes in mitochondria, cytoskeleton, and ER, with Ezh2 potentially playing a crucial role.
DOI: 10.15468/dl.suz4m8
title: Occurrence Download

description: A dataset containing 1435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bletilla striata (Thunb.) Rchb.f."
 ]
}

 The dataset includes 1435 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045446-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wyynyghcgg.1
title: Benefits of 3D-Total Body Photography and Digital Dermoscopy with Machine Learning Tools for Early Melanoma Detection in high-risk patients

description: Supplementary Material.
Mendeley Supplementary Figure 1. STROBE inclusion flow diagram.
DOI: 10.17632/t2z92jvm7s.1
title: UPI FOMO

description: this data contains raw responses from the study participants
DOI: 10.17632/v5jfhsvtmd.2
title: Roman Urdu word and reviews dataset.

description: We have created two datasets of Roman Urdu, from which one dataset is specifically dedicated to Roman Urdu words. In this dataset, an Excel file was used, in the file five columns named "Var-1 to Var-5" for Roman Urdu word spellings. Each column contains one to five variations of Roman Urdu spellings. The last column is named "common," where one spelling of each word is selected and placed there. We have chosen the spelling from this column which has been used the most frequently. We have included 5,244 Roman Urdu words in this dataset, when combined with spelling variations, result in a total of 19,527 Roman Urdu words. We have created another dataset for Roman Urdu reviews, in which we have assigned sentiments to these reviews. Since on the web, various Roman Urdu spellings are used by peoples make own spellings, we have standardized these reviews into unique Roman Urdu word spellings. This dataset is the first of its kind and contains the highest number of reviews, totaling 35,139 reviews. These reviews have been categorized into five classes. This dataset can prove beneficial where nowadays newspapers are written in Roman Urdu, and it will be even more beneficial where people purchase any online product and provide their reviews in Roman Urdu. Analyzing these reviews through this dataset would be beneficial.
DOI: 10.17632/v5jfhsvtmd.3
title: Roman Urdu word and reviews dataset.

description: We have created two datasets of Roman Urdu, from which one dataset is specifically dedicated to Roman Urdu words. In this dataset, an Excel file was used, in the file five columns named "Var-1 to Var-5" for Roman Urdu word spellings. Each column contains one to five variations of Roman Urdu spellings. The last column is named "common," where one spelling of each word is selected and placed there. We have chosen the spelling from this column which has been used the most frequently. We have included 5,244 Roman Urdu words in this dataset, when combined with spelling variations, result in a total of 19,527 Roman Urdu words. We have created another dataset for Roman Urdu reviews, in which we have assigned sentiments to these reviews. Since on the web, various Roman Urdu spellings are used by peoples make own spellings, we have standardized these reviews into unique Roman Urdu word spellings. This dataset is the first of its kind and contains the highest number of reviews, totaling 35,139 reviews. These reviews have been categorized into five classes. This dataset can prove beneficial where nowadays newspapers are written in Roman Urdu, and it will be even more beneficial where people purchase any online product and provide their reviews in Roman Urdu. Analyzing these reviews through this dataset would be beneficial.
DOI: 10.17632/v5jfhsvtmd.4
title: Roman Urdu word and reviews dataset.

description: We have created two datasets of Roman Urdu that are translated in English, from which one dataset is specifically dedicated to Roman Urdu words. In this dataset, an Excel file was used, in the file five columns named "Var-1 to Var-5" for Roman Urdu word spellings. Each column contains one to five variations of Roman Urdu spellings. The last column is named "common," where one spelling of each word is selected and placed there. We have chosen the spelling from this column which has been used the most frequently. We have included 5,244 Roman Urdu words in this dataset, when combined with spelling variations, result in a total of 19,527 Roman Urdu words. We have created another dataset for Roman Urdu reviews, in which we have assigned sentiments to these reviews. Since on the web, various Roman Urdu spellings are used by peoples make own spellings, we have standardized these reviews into unique Roman Urdu word spellings. This dataset is the first of its kind and contains the highest number of reviews, totaling 35,139 reviews. These reviews have been categorized into five classes. This dataset can prove beneficial where nowadays newspapers are written in Roman Urdu, and it will be even more beneficial where people purchase any online product and provide their reviews in Roman Urdu. Analyzing these reviews through this dataset would be beneficial.
DOI: 10.17632/v5jfhsvtmd.1
title: Roman Urdu word and reviews dataset.

description: We have created two datasets of Roman Urdu, from which one dataset is specifically dedicated to Roman Urdu words. In this dataset, an Excel file was used, in the file five columns named "Var-1 to Var-5" for Roman Urdu word spellings. Each column contains one to five variations of Roman Urdu spellings. The last column is named "common," where one spelling of each word is selected and placed there. We have chosen the spelling from this column which has been used the most frequently. We have included 5,244 Roman Urdu words in this dataset, when combined with spelling variations, result in a total of 19,527 Roman Urdu words. We have created another dataset for Roman Urdu reviews, in which we have assigned sentiments to these reviews. Since on the web, various Roman Urdu spellings are used by peoples make own spellings, we have standardized these reviews into unique Roman Urdu word spellings. This dataset is the first of its kind and contains the highest number of reviews, totaling 35,139 reviews. These reviews have been categorized into five classes. This dataset can prove beneficial where nowadays newspapers are written in Roman Urdu, and it will be even more beneficial where people purchase any online product and provide their reviews in Roman Urdu. Analyzing these reviews through this dataset would be beneficial.