cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y7vgr7w5xy.2
title: Forecasting COVID-19 confirmed cases in Jazan, Saudi Arabia with ARIMA prediction model using the observed dataset

description: The data collected daily for COVID-19 confirmed cases form the official website of Ministry of Health Kingdom of Saudi Arabia from 1st Sep. Till 4th Oct. 2020. It is a time-series data and a prediction model ARIMA were used to analyze and predict the near future forecast of COVID-19 for Jazan region. such type of data can be used for analysis by health administrations at any level to predict the new cases of COVID-19 and to plan before the real time situation. Even hospitals can use such type of data to predict COVID-19 cases for their care community.
DOI: 10.17632/j4ydzzv4kb.1
title: sireNNet-Emergency Vehicle Siren Classification Dataset For Urban Applications

description: An audio dataset for classifying sirens of emergency vehicles such as firetruck, ambulance and police vehicles along with an additional class for traffic noise.

The dataset consists of the following 4 classes with the distribution of data within them as follows:
1. Ambulance: 400 files
2. Police: 454 files
3. Firetruck: 400 files
4. Traffic: 421 files

Since the Dataset has gone through multiple iterations, the authors have uploaded the final version ONLY which includes the augmented datapoints. Additionally, the extracted features of the original dataset, augmented dataset, code files, notebooks and subsequent research paper can be availed on-demand by approaching the authors personally.
DOI: 10.17632/c98wk8g9s4.1
title: Plant invasions in the Middle Awash Valley, Ethiopia

description: Although natural ecosystems in Ethiopia are confronted with myriad of plant invasions, research to quantify plant invasion effects is restricted to limited areas of the country or a few species only. Data uploaded here were collected to examine the number and abundance of invasive and expanding plants (a native but spreading species) and their associated effects (individual as well as cumulative effects) on native species richness and diversity in a semi-arid rangeland in the Rift Valley Region, eastern Ethiopia. Data were gathered from forty-eight 20 X 20 m plots (established using systematic random fashion) and we recorded plant richness (both herbaceous and woody plants (comprising all trees and shrubs &gt;1 m height)) abundance-cover, and herbaceous species composition.
DOI: 10.17632/kbxgsjkcm4.1
title: Norway spruce growth and phenology

description: Data for the article "Sensitivity of height growth response to climate change does not vary with age in Norway spruce populations from elevational gradients"
DOI: 10.17632/9sdysmyt6b.2
title: Sovereign spread divergence owing to inflation and redenomination risk countered by unconventional monetary policy in the Eurozone

description: Using a panel vector error correction (VECM) model, we assess sovereign spread divergence in the Eurozone. Recent literature defines redenomination risk as a member state’s unilateral exit from the Eurozone, estimated by the quanto Credit default swaps (CDS) spread (qCDS). We show that sovereign spread divergence is driven not only by the qCDS but also by inflation and US dollar liquidity shocks. We also find evidence that the balance sheet structure better describes the European Central Bank’s (ECB) unconventional monetary policy (UMP) shocks than the shadow rate. Such policy shocks had a greater impact in the early 2020s than between the global financial crisis and the COVID-19 pandemic (2008Q1–2019Q4). Thus, this paper makes a new contribution to the debate on the ECB’s instruments to maintain price stability objectives and avoid divergence of sovereign bond yields while emphasizing cross-central bank swap lines.
DOI: 10.17632/btchxktzyw.2
title: Data for "Updated science-wide author databases of standardized citation indicators"
DOI: 10.17632/v8pp5jm8z4.1
title: BBDD para calcular el Coeficiente de Validez de Contenido del cuestionario CCUNA en México y Colombia

description: La información contenida en las bases de datos es el resultado de la utilización del método Delphi para la validación de contenido del cuestionario CCUNA en la primera y segunda ronda de evaluación en México y Colombia. Este método permitió alcanzar el consenso entre diversas opiniones emitidas por jueces expertos en el cuidado de la salud y ECNT en ambos países; confirmando lo resaltado en otras publicaciones como un método sistemático y flexible para evaluar instrumentos de diferentes áreas del conocimiento y contextos.
Para estimar la validez de contenido del cuestionario por juicio de expertos, fue necesario conocer el grado concordancia entre ellos. Para ello se utilizó el Coeficiente de Validez de Contenido (CVC) propuesto por Hernández-Nieto, el cual calcula el grado de acuerdo entre varios expertos participantes por ítem y de manera global del cuestionario en cada ronda según su experiencia en el abordaje de la temática tratada en éste. Finalmente, en ambos grupos de jueces expertos de México y Colombia, el cuestionario CCUNA alcanzó, en su segunda ronda, un CVC General calificado como “Excelente” (0,97).
DOI: 10.17632/3pmxnz7m79.1
title: Organization Learning Publication Dataset (1972-2019)

description: The organization learning reseach & publication dataset, subject area of business-management-accounting and economics-econometrics-finance, which was indexed by Scopus from 1972 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/35wh56287y.1
title: IoT-based Data Collection in a Tomato Cultivation Under Different Irrigation Regimes

description: This experimental dataset contains IoT-based data collected through Long Range Wide Area Network (LoRaWAN) commercial devices in a tomato (Solanum lycopersicum L. cv. HEINZ 1301) cultivation located at the “Azienda Sperimentale Stuard” in Parma, Italy, and data generated by the Agriware platform. 

More in detail, the IoT-based irrigation system located in the “Azienda Sperimentale Stuard” to manage the watering of the tomato crop has been organized with 3 experimental lines associated with 3 different watering regimes: (i) Line #1 was irrigated with a water quantity equal to the recommendation of the Italian “Irriframe” platform (https://www.irriframe.it/); (ii) Line #2 was irrigated with a water quantity equal to the 60% of Line #1; (iii) Line #3 was irrigated with a water quantity equal to the 30% of Line #1. 

The dataset is composed of 4 CSV files. Three of these files contain the information generated by the different IoT devices (environmental sensor, water meters, and soil sensors) and sampled every 10 minutes. Relevant parameters are: timestamp; device identifier; air moisture and temperature; carbon dioxide (CO2) level; barometric pressure; battery percentage; tomato line identifier; water volume; soil electrical conductivity, moisture, and temperature. The other CSV file contains daily values of agronomic indicators, calculated through the Agriware platform and mainly based on the average daily air temperature values, such as: the daily values of Growing Degree Days (GDD) and Heat Units (namely: standard day degree, daily mean temperature, daily maximum temperature above T_base, daily maximum temperature, daily maximum temperature above T_base with reduction of T_cutoff, Ontario units.) 

 

A complete description of the CSV file can be found in the README.txt file. 

The dataset has been generated in the aim of (i) the Agritech project - “National Research Centre for Agricultural Technologies,” project code CN00000022, funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender no. 3138 of 16/12/2021 of Italian Ministry of University and Research funded by the European Union – NextGenerationEU, Concession Decree no. 1032 of 17/06/2022 adopted by the Italian Ministry of University and Research and (ii) the SMALLDERS research project - “Smart Models for Agrifood Local vaLue chain based on Digital technologies for Enabling covid-19 Resilience and Sustainability,” co-funded by the PRIMA Program - Section 2 Call multi-topics 2021, through the following National Authorities: Ministry of Universities and Research (MUR, Italy), State Research Agency (AEI, Spain), Agence Nationale de la Recherche (ANR, France), Ministry of Higher Education and Scientific Research (Tunisia), and The dataset reflects only the authors’ views; the European Commission is not responsible for any use that may be made of the information it contains.
DOI: 10.17632/cvjt57xspg.1
title: Open-source hybrid 3D-bioprinter for simultaneous printing of thermoplastics and hydrogels

description: 3D-bioprinting is a promising technology applicable in areas such as regenerative medicine or in vitro organ model development. Various 3D-bioprinting technologies and systems have been developed and are partly commercially available. Here, we present the construction and characterization of an open-source low-cost 3D-bioprinter that allows the alternated microextrusion of hydrogel and fused deposition modeling (FDM) of thermoplastic filaments. The presented 3D-bioprinter is based on a conventional Prusa i3 MK3 printer and features two independent printheads: the original FDM-head and a piston-driven microextrusion system for soft materials. Modifications were designed modularly to fit various syringe formats or heating elements to the device. The bioprinter is the first hybrid DIY 3D-bioprinter that allows switching between materials as often as required during a print run to produce complex multi-material constructs with arbitrary patterns in each layer. For validation of the printer, two designs suitable for relevant bioprinting applications were realized. First, a porous plastic construct filled with hydrogel was printed, serving as a mechanically stable bone replacement tissue model. Second, a plastic chamber, which might be used in organ-on-a-chip applications, was printed with an extruded silicone sealing that enables the liquid-tight attachment of glass slides to the top and bottom of the chamber.
DOI: 10.17632/5ck5zz6f2c.2
title: OAHEGA : EMOTION RECOGNITION DATASET

description: The dataset consists of 6 distinct emotions : Happy, Angry, Sad, Neutral, Surprise and Ahegao. Images are RGB and presented as cropped faces with corresponding emotions. The images were collected by scrapping social nets as Facebook and Instagram, scrapping YouTube videos and already available datasets as IMDB and AffectNet. 1) dataset.zip contains folders with corresponding classes. 2) data.csv contains pathes to images and corresponding labels.
DOI: 10.17632/8mxhzbr3v3.1
title: Regulation of VKORC1L1 is critical for p53-mediated tumor suppression through vitamin K metabolism

description: Here, we identified vitamin K epoxide reductase complex subunit 1 like 1 (VKORC1L1) as a potent ferroptosis repressor. VKORC1L1 protects cells from ferroptosis by generating the reduced form of vitamin K, a potent radical trapping antioxidant to counteract phospholipid peroxides independent of the canonical GSH/GPX4-mechanism. Notably, we found that VKORC1L1 is also a direct transcriptional target of p53. Activation of p53 induces downregulation of VKORC1L1 expression thus sensitizing cells to ferroptosis for tumor suppression. Interestingly, a small molecular inhibitor of VKORC1L1, warfarin, is widely prescribed as an FDA-approved anticoagulant drug. Moreover, warfarin represses tumor growth through promoting ferroptosis in both immunodeficient and immunocompetent mouse models. Thus, by downregulating VKORC1L1, p53 executes the tumor suppression function through activating a new ferroptosis pathway involved in vitamin K metabolism. Our study also reveals that warfarin is a potential repurposing drug in cancer therapy, particularly for tumors with high levels of VKORC1L1 expression.
DOI: 10.17632/bsr3frvvjc.1
title: Hindi Language Stop Words List

description: Stop words are frequent, evenly distributed, function words in any document corpus which does not add any meaning to the text content. Information retrieval from the corpus is not getting affected by the removal of these words. It has been proved that removing the stop words reduces the document size to a considerable extent and saves time in text processing in Natural Language Processing. There are two sources where Hindi stop words are available online. First is Kevin Bouge list of stop words in various languages including Hindi . Second is sarai.net list . Third source can be translation of English Stop words available in NLTK corpus into Hindi using translator. In this work, the Stop words list is the extended list using all three resources and contains words as well as phrases. The combined list is verified by one native speaker of Hindi language and finalized after necessary corrections. For the first time, the phrases are also kept in the list because a word in present continuous verb form changes to a phrase when written in Hindi. In this way, a phrase can be removed from the document corpus in one attempt and the document corpus can be reduced, without effecting the sentiment expressed in it. The stop words list has total 264 words and phrases, where 1 phrase is of the size of four words, 3 phrases are of the size of three words, 18 phrases are of the size of two words and 242 words are of the size of one word. This list of stop words are useful for performing many tasks in text mining/Natural Language Processing in Hindi language like sentiment analysis, text summarization, question answering etc.
DOI: 10.17632/3smv4bv5wt.1
title: Replication Materials for "Machine learning estimates on the impacts of detection times on wildfire suppression costs"

description: This repository contains the data and the code necessary to replicate the results of "Machine learning estimates on the impacts of detection times on wildfire suppression costs", authored by Michael Shucheng Huang and Bruno Wichmann. DOI: 10.1371/journal.pone.0313200.
DOI: 10.17632/8b3hrcykcr.1
title: Workplace health and safety training, employees’ risk perceptions, behavioral safety compliance, and perceived job insecurity during Covid-19: Data of Vietnam

description: This is the dataset of a survey on workplace health and safety training, employees’ risk perceptions, behavioral safety compliance, and perceived job insecurity in Vietnam during Covid-19 pandemic. The data were collected through an online questionnaire completed by full-time Vietnamese between April and June 2020. Using E-mail, LinkedIn, and Facebook, the online questionnaire was sent to respondents who filled it out voluntarily. A two-wave survey was conducted in order to lessen the common method bias.
DOI: 10.17632/z62gdty498.1
title: Academic Data Derived from Blended Learning

description: The data were collected from the digital infrastructure of the University.  The dataset provided for this research is constructed using data from two different platforms: The MS Team platform and the Open eClass Platform. 

Our dataset was extracted from MS Teams and includes 13 attributes related to the course meetings that lecturers participate in. Our next source of data is the (open) eClass Platform which includes statistics about the student’s behavior on the platform. Data are completely anonymized, as no reference to the participant is kept. Only a newly auto-increment ID per student is used. The final dataset of student profile consists of 32 attributes, and it requires preprocessing in order to eliminate the parameters which are going to feed the classification algorithms.
DOI: 10.17632/35wpkffzsj.1
title: Markov Equilibrium of Social Security: An Analytic Solution under CRRA Utility and the Future of Social Security: Data and Codes for Replication

description: All codes and data for the figures and tables shown in the article "Markov Equilibrium of Social Security: An Analytic Solution under CRRA Utility and the Future of Social Security" is included in these files. 
Files include an excel file with all tables and figures and matlab files for figures in the Appendix.
DOI: 10.17632/zjjfn8sskv.1
title: Modern Problems: Insights and Solutions from Bhagavad Gita

description: In the complex tapestry of human existence, we often find ourselves entangled in a web of emotions and psychological states that can either empower us or imprison us. Fear, anger, overthinking, confusion, demotivation, stress, depression, and even thoughts of suicide are tribulations that we, as humans, are not exempt from. These psychological challenges affect us all, regardless of our background, age, or gender, and they are among the most formidable obstacles on our path to happiness, fulfillment, and self-realization.
"Navigating the Shadows of Society" is a comprehensive exploration of these intricate aspects of the human psyche, their impact on our lives, and the strategies to conquer them. Through a blend of modern scientific findings and the timeless wisdom of Vedic scriptures, especially the revered Bhagavad Gita, this book offers a unique and holistic perspective on the human mind and the intricate chemistry of behavior. The synthesis of ancient wisdom with modern research brings forth a guide that is not only insightful but also practical in its approach.
this series of article under "Navigating the Shadows of Society" is a explores the complex aspects of the human psyche, their impact on our lives, and the strategies to conquer them. The book offers a unique and holistic perspective on the human mind and the intricate chemistry of behavior through the blend of modern scientific findings and the timeless wisdom of Vedic scriptures, especially the revered Bhagavad Gita. The book provides a roadmap to mastering your emotions, understanding your mind, and finding the enlightenment that resides within us all.
DOI: 10.17632/vg3hb74rvb.2
title: Parents' perceptions about children's online security: A Qualitative study

description: The goal of this study is to understand parents’ views on and perceptions of children’s cybersecurity. We have conducted semi-structured interviews with 25 parents. This dataset contains the interview guide and transcripts of the interviews. Considering that the term “cybersecurity” may be confusing or unclear to some parents, we used the term “online security” in our questions, as both represent similar concerns and meanings in our context. We asked the following questions to the participants. 1. Considering the current situation, all the children are using the Internet and digital platforms more than before for educational activities and entertainment. How concerned are you about their online security (when they are using the Internet and digital platforms)? 2. Do you know about a real story in your environment concerning the secure use of the Internet and digital tools for children? Can you tell me something about it? 3. We are trying to understand what types of security parents have concerns about. What kind of online security concerns do you have for your children? 4. How much do your children already know about online security, in your opinion? i) Do your child/children pursue any education in ICT and/or programming? ii) Did your child/children attend any coding activity inside or outside schools? 5. In your opinion, what kind of security knowledge should children have when they use the Internet? 6. When it comes to educating children about online security, in your opinion, who should be responsible? Parents or the schools? 7. What do you do at home to ensure online security for your children? 8. Can you describe an episode/example of your child learning about online security? 9. What do you think is most challenging in keeping/ensuring online security for your children? 10. Is there anything we have not covered in this interview that you consider important to mention regarding children’s security? NOTE: The original interviews were conducted in Norwegian. The transcripts in this dataset are the translated version of the original transcripts.
DOI: 10.17632/ywsbh3ndr8.2
title: Dataset of Breast mammography images with Masses

description: The dataset contains mammography with benign and malignant masses. Images in this dataset were first extracted 106 masses images from INbreast dataset, 53 masses images from MIAS dataset, and 2188 masses images DDSM dataset. Then we use data augmentation and contrast-limited adaptive histogram equalization to preprocess our images. After data augmentation, Inbreast dataset has 7632 images, MIAS dataset has 3816 images, DDSM dataset has 13128 images. In addition, we also integrate INbreast, MIAS, DDSM together. All the images were resized to 227*227 pixels.
DOI: 10.17632/zf8fg6kxhx.3
title: Data for: PROBABILISTIC AND DETERMINISTIC LOWER-BOUND DESIGN BENCHMARKS FOR CYLINDRICAL SHELLS UNDER AXIAL COMPRESSION

description: This archieve contains numerical models for ABAQUS, measured imperfection data (in terms of Fourier Coefficients), Pyhton Scripts for automated buckling anaylzes in ABAQUS and an excel file with 660 experimental results for cylinders under axial compression. In additon all results which were generated for this article are also given in the excel files. Note, that the C Shells (composite cylinders) from the article are sometimes defined as Z-Shells due to wishes of the reviewers.
DOI: 10.17632/jj3r5f9pnf.1
title: Data repository for Camargo, et. al. A comprehensive, open-source dataset of lower limb biomechanics. Part 3 of 3

description: Part 3/3 of the dataset for "Camargo, et. al. A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions." Dataset linked from https://doi.org/10.1016/j.jbiomech.2021.110320 (2021-02-24)
DOI: 10.17632/v3gphvp7cs.1
title: A Database of the Fluoride Content of Selected Drinks and Foods in the UK and Republic of Ireland

description: It is important to monitor systemic fluoride (F) intake from foods, drinks and inadvertent toothpaste ingestion in order to minimise risk of dental fluorosis while maximising caries prevention. In collaboration with Newcastle University, we have developed and populated a “fluoride database” which includes the fluoride concentration (µg fluoride per 1g of the product) and content (µg fluoride per 100 g of the product) of a substantial number of food and drink products sold within the UK and Republic of Ireland, representing brands manufactured by leading companies in the European food market. The database is intended as a tool for public health professionals and policy-makers to facilitate monitoring of dietary fluoride intake, particularly in children. This publication provides information on fluoride concentrations of the most commonly consumed food and drink items in the UK, compiled from the results of a range of research projects funded by The Borrow Foundation and Organix Foundation and Food and Environment Research Agency (Fera) Science Ltd. The background to the development of the database is described in our paper published in Caries Research (Zohoori & Maguire, 2016). The wide range of fluoride content within food and drink groups, verified within this fluoride database clearly highlights the need for comprehensive fluoride labelling of food and drink products, particularly those used primarily by infants and very young children (Zohoori & Maguire, 2018).