cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/txr34h8bgs.1
title: Exploration of the association between social media addiction, self-esteem, self-compassion and loneliness.

description: Excessive social media use is associated with several negative psychological outcomes, including psychological distress and lower levels of-self-esteem. Research reports that feelings of loneliness enhance social media abuse, with individuals reporting stronger engagement to social media. However, self-esteem and self-compassion, which are considered as complementary constructs, mitigate social media use. This research aimed to explore the association between social media and loneliness, and whether this relation can be explained through the relation of self-esteem and self-compassion. A non-clinical sample of 426 Greek adults fulfilled the first adapted version of the Social Media Disorder Scale to assess social media addiction, the UCLA loneliness scale, the Rosenberg’s self-esteem scale and the Self Compassion Scale. Structural equation modeling was used, along with Analysis of Variance to estimate the role of demographics to social media excessive use, such as gender, education, age and the number of followers. Results revealed that self-esteem was not associated to social media excessive use or to any other behavior. Higher levels of self-compassion were associated to lower levels of social media use; moreover, self-compassion acted as a mediator with individuals feeling loneliness exhibiting lower levels of social media addiction. Possible explanations, future directions and the factors that may contribute to the insignificant relationship between self-esteem and social media are discussed. 

Keywords: social media addiction, self-esteem, self-compassion, structural equation model, Social Media Disorder Scale
DOI: 10.17632/279783p5df.1
title: Lithium-ion battery cycle data

description: The data includes 4 documents:
1.	EIL-MJ1-015: electrochemical cycle data of Li-ion battery INR18650MJ1 published by University College London.
2.	Simulation results of single battery model capacity fade: simulation results of single Li-ion battery INR18650MJ1 capacity fade under the cycle condition in the same way as the entity experiment of Li-ion battery done by University College London.
3.	Simulation results of 34 experimental group: simulation results of capacity fading of lithium-ion battery pack under different cycle conditions.
4.	Simulation results of No.35 experimental group: simulation results of capacity fading of lithium-ion battery pack under a certain cycle condition.
DOI: 10.17632/7wmpsc8msm.1
title: Review Datasets

description: Datasets on reviews on phones,mall,clothing,hotels,restarunts,personal care,and many more to add.
DOI: 10.17632/663c2bk9gy.1
title: Financial Innovations, Deepening-HHC Expend dataset

description: This is annual secondary data for the period 2012-2019 covering 34 African countries. The data is used to examine the impact of financial innovations on financial deepening with implications for household consumption expenditure. Five financial innovation indicators are adopted and include the number of ATMs & bank branches for every 100,000 people, mobile cellular subscriptions for every 100 inhabitants, secure internet servers for every 1 million adults, and the Africa Infrastructure Development Index (AIDI). The latter was developed by the African Development Bank (AfDB) and measures the extent of infrastructural development in African countries. It is a composite measure of electricity, transport, ICT, and water supply & sanitation indexes (see African Development Bank, 2022). The rest of the innovation indicators are obtained from the World Bank’s World Development Indicators (WDI) database. To measure financial deepening, 3 indicators are used. They include bank deposits, domestic credit to the private sector, and broad money (all as ratios of GDP). A number of control variables are also captured here namely trade openness, GDP per capita, Foreign Direct Investment (FDI), remittances, and institutional quality. The institutional quality index is generated by the Principal Component Analysis (PCA) technique. To construct the index, we employ 6 indexes from the Worldwide Governance Indicators (WGI) database namely corruption control, rule of law, political stability, government effectiveness, regulatory quality, and voice & accountability. To measure consumption, we use data on final household consumption expenditure from the WDI database
DOI: 10.17632/n9z3v2k8wv.1
title: Autopsy reports Datasets

description: the Dataset  consist of 200 autopsy reports en texte forme collected  from the University Hospital of Tlemcen in Algeria, within the forensic medicine department. The reports were classified into three Manner of Death (MoD) categories: natural
death, violent death (penetrating, suicide, homicide), and toxic death. The data contain graphical  information, details
about external and internal examinations of the body (including the nervous, cardiovascular, respiratory, and digestive systems), and the conclusions about the cause of death.Attached is a description of the database and possible approaches for this database ; as well as two examples of autopsy reports on this data. For those who would work on this dataset please contact me on this mailblox : fatiha.youbi@univ-tlemcen.dz
DOI: 10.17632/s847hpsns4.1
title: Embedded software of the KM3NeT central logic board

description: The KM3NeT Collaboration is building and operating two deep sea neutrino telescopes at the bottom of the Mediterranean Sea. The telescopes consist of latices of photomultiplier tubes housed in pressure-resistant glass spheres, called digital optical modules and arranged in vertical detection units. The two main scientific goals are the determination of the neutrino mass ordering and the discovery and observation of high-energy neutrino sources in the Universe. Neutrinos are detected via the Cherenkov light, which is induced by charged particles originated in neutrino interactions. The photomultiplier tubes convert the Cherenkov light into electrical signals that are acquired and timestamped by the acquisition electronics. Each optical module houses the acquisition electronics for collecting and timestamping the photomultiplier signals with one nanosecond accuracy. Once finished, the two telescopes will have installed more than six thousand optical acquisition nodes, completing one of the more complex networks in the world in terms of operation and synchronization. The embedded software running in the acquisition nodes has been designed to provide a framework that will operate with different hardware versions and functionalities. The hardware will not be accessible once in operation, which complicates the embedded software architecture. The embedded software provides a set of tools to facilitate remote manageability of the deployed hardware, including safe reconfiguration of the firmware. This paper presents the architecture and the techniques, methods and implementation of the embedded software running in the acquisition nodes of the KM3NeT neutrino telescopes.
DOI: 10.17632/7vdkzpnjgj.2
title: Real-world electric vehicle data: driving and charging

description: The dataset collects real-world electric vehicle data over a period of 1 year and MATLAB scripts to recreate figures from the paper "Analysis and key findings from real-world electric vehicle field data" (published on Joule). The dataset is divided into two folders: “Drive” and “Charge”. In “Drive”, data acquired during vehicle driving are collected: current is positive and negative for acceleration/cruising and braking, respectively. In “Charge”, charging data are collected. The dataset is provided in the form of .mat files containing the following signals:
- TimeCurr [s]: Timestamp for current @pack level
- Curr [A]: Current @pack level
- TimeVolt [s]: Timestamp for voltage @pack level
- Volt [V]: Voltage @pack level
- TimeSoC [s]: Timestamp for SoC @pack level
- SoC [%]: SoC @pack level
- TimeTemp [s]: Timestamp for temperature @pack level
- Temp [°C]: Temperature @pack level
- TimeEpoch [s]: Timestamp for epoch time
- Epoch [s]: Epoch time

Further information can be found in the README file.
DOI: 10.17632/rwz59sxtpn.1
title: Synthetic student dataset on levels of use of digital tools and frequency of personal activities with ICTs

description: Dataset artificially generated through the Generative Adversarial Networks of students in postgraduate degrees at the University of La Laguna on levels of use of digital tools and frequency of personal activities with ICT.
DOI: 10.17632/64h6rnpwt2.1
title: Mechanical and thermal properties of graphyne nanosheets explored by machine-learning interatomic potentials

description: Data for our manuscript
The structures’ number are according to “Structures.jpg” 
Energy minimized structures in VASP POSCAR are included in “POSCARs.zip”
Complete AIMD datasets for every structure are included in “AIMD-datasets.zip”
LAMMPS input data for every structure are included in “LAMMPS-data-input.zip”
Passively fitted MTPs for the evaluation of mechanical and thermal properties are included in “MTPs.zip”
DOI: 10.17632/g3pcpm92jr.1
title: Server-based Network Attack (SNA) dataset

description: An innovative approach leverages an Ubuntu Base Server to create a simulated virtual network environment, facilitating the real-time gathering of network attack data. Utilizing Kali Linux as the attacking system alongside Wireshark for capturing data, we develop the Server-based Network Attack (SNA) dataset, which highlights UDP, SYN, and HTTP flood network attacks.
DOI: 10.17632/37x3jsf488.2
title: The Colour of Finance Words

description: This data depository contains all code/data necessary to replicate "The Colour of Finance Words" by Diego García, Xiaowen Hu, and Maximilian Rohrer, forthcoming in the Journal of Financial Economics. Please see the README file for details on files and code provided. Dated: 20221108.
DOI: 10.17632/5765ch5vn3.1
title: HOPE-Natal

description: This data is referent to publication the case-control study "Movement Behavior during Pregnancy and Adverse Maternal–Fetal Outcomes in Women with Gestational Diabetes". The authors share this data according to policies open access to Research and Publication Ethics of MDPI journals. The original data regarding the outcomes are available in this public repository in order to independent verification of research results.
DOI: 10.17632/698b7j7b76.1
title: Guideline to teach making plans with be going to

description: This guideline explains how to use the future with be going to tense to describe plans.
DOI: 10.17632/79w2n6b4kf.1
title: Banana Disease Recognition Dataset

description: 1. Bananas are not only nutritious but also delicious. Both raw and ripe bananas are beneficial for health. It is a good source of potassium, vitamin C, vitamin B6, and dietary fiber, according to nutritional guidelines. 2. Potassium in bananas helps regulate blood pressure and supports overall heart health. Its' dietary fiber aids digestion and helps in maintaining gastrointestinal regularity. Natural sugars like glucose, fructose, and sucrose in bananas provide quick and sustained energy. 3. With a low glycemic index, bananas assist in keeping blood sugar levels stable. The fiber content promotes a feeling of fullness, aiding in weight management. It contains serotonin, a neurotransmitter that contributes to a good mood and stress reduction. 4. Vitamin A in bananas supports healthy vision, and they may contribute to age-related macular degeneration prevention. The presence of magnesium and vitamin B6 in bananas helps maintain strong bones. It also contains prebiotic fiber that supports the growth of beneficial gut bacteria, contributing to a healthy digestive system. 5. The prevalence of various diseases associated with bananas highlights the need for proper measures to be taken to mitigate their impact, which may lead to a reduction in banana production on a large scale. Therefore, adopting preventive measures as soon as symptoms of diseases are observed is crucial. 6. Diseases in crops pose a significant challenge to agricultural production, impacting the quality and productivity of the crops. Due to environmental factors, diseases in crops can have adverse effects on both yield and quality. For instance, banana diseases can negatively impact the yield and quality of bananas, leading to significant economic losses for farmers. Traditional methods of identifying and managing crop diseases are often time-consuming, labor-intensive, inefficient, and subjective. 7. Such classification and identification tasks have been a promising area for computer vision in recent years. 8. A large dataset of seven different banana classes—Healthy Leaf, Bract Mosaic Virus Disease, Black Sigatoka, Insect Pest Diseases, Moko Disease, Panama Disease, and Yellow Sigatoka—is shown in order to create machine vision-based algorithms. 9. There are 408 images of bananas in all, taken in actual fields. Then, in order to expand the number of data points, shifting, flipping, zooming, shearing, brightness enhancement, and rotation techniques are used to create a total of 2856 augmented images from these original images.
DOI: 10.17632/j5wkx5wwmd.1
title: The Contribution of the Gaza Envelope Region to Israel's Food Security

description: Supplementary data tables for the paper "The Contribution of the Gaza Envelope Region to Israel's Food Security"

Supplementary Table 1: Calculated yield data of crops grown within 5 km of the Gaza border.
Supplementary Table 2: Calculated yield data of crops grown within 10 km of the Gaza border.
Supplementary Table 3: Calculated yield data of crops grown within 20 km of the Gaza border.
Supplementary Table 4: Nutrient content of edible crops grown within 5 km of the Gaza border.
Supplementary Table 5: Nutrient content of edible crops grown within 10 km of the Gaza border.
Supplementary Table 6: Nutrient content of edible crops grown within 20 km of the Gaza border.
DOI: 10.17632/pyfg8y8mmh.3
title: Большой испанско-русский словарь. Латинская Америка

description: В словаре представлена широкоупотребительная лексика, отражающая особенности современного состояния словарного состава испанского языка стран Латинской Америки. В словаре включены не только словарные единицы, относящиеся к литературному языку латиноамериканского ареала, но и разговорно-обиходные, просторечные и жаргонные слова и выражения. Словарь предназначен для студентов, аспирантов, преподавателей, журналистов, переводчиков, а также для широкого круга специалистов, использующих испанский язык в своей повседневной деятельности. Словарь также может быть полезен испаноговорящим латиноамериканцам, изучающим русский язык.
DOI: 10.17632/77rpf3xkbn.1
title: Bangladeshi Sign Language (Bdsl) Words dataset

description: In this data repository two zip files: one contains the primary data, and the other contains augmented data. This dataset consists of images related to Bangladeshi Sign Language, focusing on 10 common words used in daily life. These words are categorized into 10 classes: myself, you, they, think, friend, salam (hello), color, surprise, request, and promise.

- Primary Data: Contains 1000 images in total, with each class having 100 images.
- Augmented Data: Through augmentation techniques, the dataset has been expanded to 6000 images. Augmentation methods include:
 - Flipping (vertical and horizontal)
 - Rotation (0-45 degrees)
 - Adding 3-7% blur in the background
 - Hue saturation adjustments (hue shift 0-5, saturation 0-50)
 - Conversion to grayscale

This dataset aims to facilitate the recognition and understanding of Bangladeshi Sign Language gestures through machine learning and computer vision applications.
DOI: 10.17632/7734j4fd98.1
title: NIR spectral data and actual quality measurement of intact cocoa Bean samples

description: This dataset contains absorbance spectrum (NIR) in wavelength range from 1000 to 2500 nm for a total of 72 bulk intact cocoa bean samples. Each bulk amounted 50g of intact beans. Inner quality parameters were measured as moisture content (%) and fat content (%). We employ NIRS method as a part of technology adoption for cocoa farmers in Aceh province, Indonesia. the NIRS technology can rapidly and simultaneously predict those both quality parameters of intact cocoa beans. Dataset were presented in form of excel *.xlsx and Unscrambler file *.unsb.
DOI: 10.17632/2rwf2krpzb.1
title: 6LOWPAN ROUTING ATTACK DETECTION IN THE IOT

description: The Internet of Things (IoT) is increasing in popu- larity, opening up new opportunities for applications in a variety of fields. However, because of the device’s constrained resources and the dynamic topology for networks, The security of the Internet of Things is challenging.Due to the characteristics of the network, routing attacks on 6LoWPAN-based IoT devices can be particularly challenging to identify. Several techniques for detecting routing attacks, including anomaly detection, have been proposed in recent years. These techniques use various characteristics of network traffic to identify and classify routing attacks. This paper focuses on routing attacks against the Routing Protocol for Low-Power and Lossy Networks (RPL), which is widely used in IoT systems based on 6LoWPAN. The attacks discussed in this paper can be classified as either inherited from Wireless Sensor Networks or exploiting RPL-specific vulnerabil- ities. To detect routing attacks, this paper proposes an innovative Hybrid Intrusion Detection System (HIDS) that combines a one- class Support Vector Machine classifier with a decision tree classifier. To identify routing attacks with high accuracy and a low false alarm rate, the HIDS leverages the strengths of both a Signature Intrusion Detection System (SIDS) and an Anomaly-based Intrusion Detection System (AIDS). The routing dataset, which contains genuine IoT network traffic as well as various types of routing attacks, was implemented to run the proposed HIDS through tests. The hybrid IDS proposed in this study outperforms SIDS and AIDS approaches, according to the findings, with higher detection rates and lower false positive rates.
DOI: 10.17632/zmxmp42g9p.4
title: Demographic, exposure, clinical, biochemical and diagnostic data of febrile patients recruited for the largest field study on leptospirosis in Sri Lanka

description: This dataset includes data from febrile patients recruited for a large hospital-based study in Sri Lanka from 2016 to 2019. The variables include primary socio-demographic data, exposure data, clinical data, biochemical and investigation data. Some of these data are available as serial data from admission to discharge daily. Microscopic agglutination test, quantitative PCR of whole blood, urine and serum e and blood for culture were performed to diagnose the patients with leptospirosis.
DOI: 10.17632/fbv87pys7k.1
title: Roles of climate and tectonics in shaping the middle reach of the Yarlung River since the mid-Miocene

description: We report low-temperature thermochronometry and thermal-kinematic models for samples of Yarlung River. Two stages of accelerated exhumation occurred in different parts of the middle reach of the Yarlung River. Mid-Miocene rapid exhumation of wide valley and its tributaries was related to enhanced precipitation, while Pliocene-Pleistocene accelerated exhumation of gorges was associated with north-south normal faulting. Our results highlight roles of climatic and tectonic processes in shaping topography change with time.
DOI: 10.17632/sg29xvbhk6.1
title: Dados Facebook - Protestos Abril de 2016

description: Dados Facebook - Protestos Abril de 2016 das páginas 1. MBL 2. Cut Brasil 3. Frente Brasil Popular 4. Frente Povo Sem Medo 5. Endireita Brasil 6. Movimento Contra corrupção 7. Jornalistas Livres 8. Mídia Ninja 9. MST 10. MTST 11. Nas Ruas 12. Vem pra Rua 13. UNE 14. Livres 15. Levante Popular da Juventude
DOI: 10.17632/zkv25wwmg2.1
title: Raw data on fish catches in the lagoons of the Tramandaí River Basin/RS between 2011 and 2013

description: The objective of this report is to provide raw data on fish catches obtained during quality monitoring of the Tramandaí River Basin, North Coast of Rio Grande do Sul, which analyzed different matrices such as water, sediment and biota.
The tables show the count of fish collected by the Water, Sediment and Fish Biology Analysis Laboratory of Ceclimar/UFRGS during the Taramandahy Project – phase I.
The collections were carried out monthly between May 2011 and April 2013, in nine lagoons: Itapeva, Quadros, Passo, Tramandaí, Gentil, Fortaleza, Cidreira, Rondinha and Bacopari.
Fishing nets with meshes of 5 to 9 mm and lengths of approximately 100 m were used and installed with the aid of boats. The sampling time was between 8 to 10 h, and the mesh sizes aim to capture juvenile specimens, looking for any metal accumulation. The results of metal contamination of some of these fish have already been published by Tesser et al. (2021).
The sampling was registered under SISBIO license no. 27770-2.
DOI: 10.17632/h6t9j5vkj7.1
title: Effects of the granite forming minerals on the surface roughness in the milling processes

description: The area-based average surface roughness of the minerals was measured in the granite. These component minerals were quartz, mica and feldspars. During the study, the focus was set to include the roughness peaks and roughness valleys. If the focus is poor, the surface roughness cannot be evaluated. Precise measurement is also supported by the precise movement of the InfiniteFocus object-slide. The surface roughness of the selected minerals was calculated by the evaluation software of the microscope. During the experiment, area-based roughness was measured instead of line-based roughness to obtain more accurate results.
DOI: 10.17632/nv74zpw98g
title: 11

description: Water quality and DOM of inflow rivers and lakes.
DOI: 10.17632/d79p9sttkn.1
title: Forebrain control of behaviorally-driven social orienting in zebrafish

description: Behavioral data for Stednitz et al 2018
DOI: 10.17632/3zzsy3snn6.1
title: Internet memes of the military era (2022-2023)

description: The dynamics of functioning of the memes in the information space of Ukraine: &gt;100 Internet memes and their modifications – bright verbal illustrators of modern realities. We interviewed more than 100 respondents – mostly young people who spread (and sometimes create) internet memes themselves. The vast majority of modern war memes were created on the contrast “own / foreign”, which is most understood by the recipients.
DOI: 10.17632/fcb47rngbd.1
title: KERATOCONUS WITH PENTACAM INDICES

description: KERATOCONUS WITH PENTACAM INDICES