cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j67mbryfkf
title: Research Data Package

description: This research protocol was designed to conduct multiple case studies. We conducted three studies that helped to investigate what conditions promote social sustainability integration in a software development context. 

In the README file we share the following information:

Research Goal & Questions 
Organizations and Participants Selection
Study A – Motivation Letter and Consent Form
Study A – Semi-Structured Questions 
Study A – Observation Notes Template 
Study A – Codes, Memos, and Excerpts from Participants 
Study B – Consent Form 
Study B – Walkthrough Content 
Study B – Walkthrough Questionnaire and Responses 
Study B – Average and Standard Deviation per Question
Study B – Statistical Analysis
Study C – Focus Group Activity and Consent Form 
Study C – Semi-Structure Questions 
Study C – Observational Notes Template 
Study C – Codes, Memos, and Excerpts from Participants 

Our research data was assessed by the Sikt Norwegian Agency for Shared Services in Education and Research, which guarantees information security and data protection in the knowledge sector.
Thank you
DOI: 10.17632/jnxh2zzynv
title: Japanese corporates GX patents

description: The Japanese corporates’ GX patent applications on the Japan Platform for patent information (J-PlatPat). The search formulas are published in https://www.jpo.go.jp/e/resources/statistics/gxti.html, which use a combined search strategy of International Patent Classification (IPC) class and keywords. There are 37,476 patent applications from 298 corporates during the period of 2000~2022.
DOI: 10.6084/m9.figshare.20488317.v3
title: Data Set Questionnaire Result of Awareness and Intention to Register Halal Certification [version 2]

description: Dataset of Questionnaire Result of Halal awareness to register halal certificate version 2. Our respondents were food producers of MSE who are members of the West Java MSME Association. The criteria for the respondents are 1) a food producer of micro and small-scale with net assets are less than 500 million Rupiahs and an annual sales turnover are less than 2,500 Rupiahs; 2) an ongoing business; 3) no halal certificate. This dataset contains demographic information as well as responses from respondents.
DOI: 10.6084/m9.figshare.9632276.v2
title: The utility of the image analytics tool developed within the Orange Data Mining suite

description: The data in this repository comprises four different image sets to showcase the transfer learning approach and illustrate the utility of the image analytics tool developed within the Orange Data Mining suite (http://orange.biolab.si). Each of the four image sets is available in a separate zip file. List of images with additional annotations and information on the image classification is also available in the four Excel files. The images include progenitor cells in mouse bone healing, identification of developmental competence in mouse oocytes, sub-cellular protein localization in yeast, and developmental morphology of social amoebae.
DOI: 10.17632/5yv8bdmvjr
title: DSrevistasCS2022

description: La descripción de los resultados de Scimago Journal & Country Rank para las publicaciones de ciencias de la computación en los años 2018-2022 revela información valiosa sobre el desempeño y la relevancia de las revistas científicas en este campo. Para obtener una visión más completa, hemos analizado los datos en dos subconjuntos: todas las revistas y las revistas de acceso abierto (OAJ).

En el grupo completo de revistas, que incluye tanto las revistas de acceso abierto como las de otro tipo, se observan estadísticas descriptivas que brindan una idea general del conjunto de datos. Se ha encontrado que el número de revistas, citaciones y factor de impacto varía significativamente a lo largo de los años analizados. Los valores promedio, la dispersión y los percentiles proporcionan información sobre la distribución de los resultados y la variabilidad entre las revistas.

Por otro lado, el subconjunto de revistas de acceso abierto (OAJ) destaca por su enfoque en la disponibilidad abierta de la investigación científica. Al limitar el análisis a estas revistas, podemos examinar específicamente cómo se desempeñan en términos de citas y factor de impacto en comparación con el grupo completo. Las estadísticas descriptivas nos permiten comprender mejor la distribución y las características distintivas de estas revistas en particular.

Es importante destacar que la descripción de los resultados es una parte inicial del análisis y no proporciona una imagen completa de cada revista individualmente. Para un análisis más exhaustivo y significativo, es recomendable realizar análisis adicionales y considerar otros factores relevantes, como el ámbito de investigación, la calidad de los artículos y las tendencias a lo largo del tiempo.

The results of Scimago Journal & Country Rank for computer science publications in 2018-2022 provide valuable insights. We analyzed two subsets: all journals and open access journals (OAJ). Descriptive statistics reveal patterns in the dataset. The number of journals, citations, and impact factor vary significantly over the years. Open access journals focus on making research openly available. Descriptive statistics help understand their performance in citations and impact factor. These analyses are initial steps, and a comprehensive picture requires further examination. Consider research domain, article quality, and trends over time.
DOI: 10.17632/9rhgdh3cdn
title: Mental health and associated risk factors of Puerto Rico Post-Hurricane María

description: Background: Mental health disorders have an increased prevalence in communities that experienced devastating natural disasters. Maria, a category 5 hurricane, struck Puerto Rico on September 20, 2017, weakening the island’s power grid, destroying buildings and homes, and limiting access to water, food, and health care services. This study characterized sociodemographic and behavioral variables and their association with mental health outcomes in the aftermath of Hurricane Maria.  
Methods: A sample of 998 Puerto Ricans affected by Hurricane Maria was surveyed between December 2017 and September 2018.   Participants completed a 5-tool questionnaire: Post Hurricane Distress Scale, Kessler K6, Patient Health Questionnaire 9, Generalized Anxiety Disorder (GAD) 7, and Post Traumatic Stress Disorder checklist for DSM-V. The associations of sociodemographic variables and risk factors with mental health disorder risk outcomes were analyzed using logistic regression analysis. 
Results: Most respondents reported experiencing hurricane-related stressors. Urban respondents reported a higher incidence of exposure to stressors when compared to rural respondents. Low income (OR=3.66; 95% CI=1.34-11.400; p<0.05) and level of education (OR=4.38; 95% CI=1.20-15.800; p<0.05) were associated with increased risk for severe mental illness (SMI), while being employed was correlated with lower risk for GAD (OR=0.48; 95% CI=0.275-0.811; p<0.01) and lower risk for SIM (OR=0.68; 95% CI=0.483-0.952; p<0.05). Abuse of prescribed narcotics was associated with an increased risk for depression (OR=2.94; 95% CI=1.101-7.721; p<0.05), while illicit drug use was associated with increased risk for GAD (OR=6.56; 95% CI=1.414-39.54; p<0.05). 
Conclusion: Findings underline the necessity for implementing a post-natural disaster response plan to address mental health with community-based social interventions.
DOI: 10.17632/gdgw7m36v3
title: Gait assessment in Parkinson Desease

description: Patients with Parkinson's disease (PD) can present walk disorders, with slow movements, freezing, short steps, speed changes, shuffling, little arm swing, and festinating gait, among others. Movement Disorder Society-Unified Parkinson's Disease-Rating Rating Scale (MDS-UPDRS) has a good reputation for uniformly evaluating PD's motor and non-motor aspects. Nevertheless, the motor clinical assessment is based on visual observations, presenting the qualitative results, and the subtle differences are not recognized. This paper presents a dataset for gait assessments in Parkinson's patients and healthy control subjects. The dataset includes eight biomechanical indicators and raw signals, allowing other authors to replicate the published methods or create new evaluation procedures or algorithms. The tables with eight biomechanical indicators are related to physician evaluations, including data from healthy control subjects, considering only the dynamic accelerations and gyroscope signals.
DOI: 10.17632/vt42k3zbfw
title: Young adults' welbeing dataset (Bogota)

description: This dataset was collected to conceptualises quality of life as a multidimensional construct where objective and subjective measurements compose young adults’ well-being and agency. The selection of normative standards of quality of life among young adults was performed using focus group discussions (FGD) and interviews. Framework analysis was used to aggregate identified capabilities into domains of quality of life, which were then incorporated into a questionnaire through a multiple-question Likert scale. The questionnaire was tested for internal consistency using Cronbach’s (α) alpha, ensuring the same directionality of all variables through reversing coding. Results showed a highly reliable α (53 items; α = 0.806) for the entire capability section of the questionnaire. In addition to capability-based questions, the questionnaire also collected data regarding hedonic and cognitive subjective well-being (Diener, 1984; Kahneman et al., 1999), and a 10-item personality inventory (TIPI) (Gosling et al., 2003), measuring personality traits, as well as socioeconomic status (SES) variables. Based on the qualitative data, for this paper data was collected in a questionnaire which was administered in both urban settings of Juan XXIII (Chapinero) and Perdomo Alto (Ciudad Bolivar). Before the administration of the survey, a census survey of all households was conducted in order to identify the location and total number of young adults in each urban setting. In total, 300 young adults were identified in both urban settings of which 231 were surveyed. The area of the urban settings as well as population density of young adults suggested that the administration of a census survey was preferable to collecting data using a sample survey. In the case of subjective measures, the analysis uses emotional (experience) and cognitive (evaluation) components of well-being (Diener, 1984). For the emotional component of well-being, which attempts to make a hedonic assessment of feeling, desires and emotions, the questionnaire included the question: ‘Overall, how happy did you feel yesterday?’ (HAPP); and for the cognitive component, which assesses people’s judgements related to expectations and ideal life (Van Hoorn, 2007) (SATI), the question included was: ‘Overall, how satisfied are you with your life in general these days?’ Two additional subjective measures were also included: a variable to measure the level of achievement of well-being (Morrison, 2010) based on quality of life criteria (QoL), and a variable to assess perceptions of available opportunities (OPP). To be more comprehensive in the proposal of having a multidimensional measure for young adults’ advantage, the analysis incorporated two continuous variables. SCALE is a variable that provides a global assessment of young adults’ urban life, based on a scale of 0 to 100, where 0 represents the worst possible quality of life and 100 represents the best possible quality of life.
DOI: 10.17632/z4ktvcwfp6
title: COVID-19 dataset for training and validation of Bayes network model

description: Symptomatic and asymptomatic samples for training and validating COVID-19 screening model. The nomenclature used in each spreadsheet is the same indicated in the main article [1]. References Eyheramendy et al. Improved screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test. MedRxiv.
DOI: 10.6084/m9.figshare.28629755.v1
title: Assessing Heavy Metal Risks in Liquid Milk: Dietary Exposure and Carcinogenicity in China

description: Assessing Heavy Metal Risks in Liquid Milk: Dietary Exposure and Carcinogenicity in China.
DOI: 10.17632/94dwkbxf2d
title: Dataset for The Reverse Problem of Keystroke Dynamics: Guessing Typed Text with Keystroke Timings

description: Dataset used in the article "The Reverse Problem of Keystroke Dynamics: Guessing Typed Text with Keystroke Timings". Source data contains CSV files with dataset results summaries, false positives lists, the evaluated sentences, and their keystroke timings. Results data contains training and evaluation ARFF files for each user and sentence with the calculated Manhattan and euclidean distance, R metric, and the directionality index for each challenge instance. The source data comes from three free text keystroke dynamics datasets used in previous studies, by the authors (LSIA) and two other unrelated groups (KM, and PROSODY, subdivided in GAY, GUN, and REVIEW). Two different languages are represented, Spanish in LSIA and English in KM and PROSODY. The original dataset KM was used to compare anomaly-detection algorithms for keystroke dynamics in the article "Comparing anomaly-detection algorithms forkeystroke dynamic" by Killourhy, K.S. and Maxion, R.A. The original dataset PROSODY was used to find cues of deceptive intent by analyzing variations in typing patterns in the article "Keystroke patterns as prosody in digital writings: A case study with deceptive reviews and essay" by Banerjee, R., Feng, S., Kang, J.S., and Choi, Y. We proposed a method to find, using only flight times (keydown/keydown), whether a medium-sized candidate list of possible texts includes the one to which the timings belong. Nor the text length neither the candidate texts list were restricted, and previous samples of the timing parameters for the candidates were not required to train the model. The method was evaluated using three datasets collected by non-mutually-collaborating sets of authors in different environments. False acceptance and false rejection rates were found to remain below or very near to 1% when user data was available for training. The former increased between two- to three-fold when the models were trained with data from other users, while the latter jumped to around 15%. These error rates are competitive against current methods for text recovery based on keystroke timings, and show that the method can be used effectively even without user-specific samples for training, by recurring to general population data.
DOI: 10.17632/f366p3zmkh
title: Palmitoylation prevents sustained inflammation by limiting NLRP3 inflammasome activation through chaperone-mediated autophagy

description: As a key component of the inflammasome, NLRP3 is a critical intracellular danger sensor emerging as an important clinical target in inflammatory diseases. However, little is known about the mechanisms that determine the kinetics of NLRP3 inflammasome stability and activity to ensure effective and controllable inflammatory responses. Here, we show that S-palmitoylation acts as a brake to turn NLRP3 inflammasome off. zDHHC12 is identified as the S-acyltransferase for NLRP3 palmitoylation, which promotes its degradation through the chaperone-mediated autophagy pathway. Zdhhc12 deficiency in mice enhances inflammatory symptoms and lethality following alum-induced peritonitis and LPS-induced endotoxic shock. Notably, several disease-associated mutations in NLRP3 are associated with defective palmitoylation, resulting in overt NLRP3 inflammasome activation. Thus, our findings identify zDHHC12 as a repressor of NLRP3 inflammasome activation and uncover a previously unknown regulatory mechanism by which the inflammasome pathway is tightly controlled by the dynamic palmitoylation of NLRP3.
DOI: 10.17632/w2r855hpx8
title: SoyNet: Indian Soybean Image dataset with quality images captured from the agriculture field ( healthy and disease Images)

description: High-quality images of soybean leaf are required to solve soybean disease and healthy leaves classification and recognition problems. To build the machine learning models, deep learning models with neat and clean dataset is the elementary requirement in research. With this objective, this data set is created, which consists of healthy and disease-quality images of soybean named “SoyNet”. This dataset consists of 9000+ high-quality images of soybeans (healthy and Disease quality) with different angles and Images captured direct from the soybean agriculture field to analyze the real problem in research. The images are divided into 2 sub-folders 1) Raw SoyNet Data and 2) Pre-processing SoyNet Data. Each Sub folder contains a digital camera Click, which contains healthy and disease image folders, and 2) Mobile Phone Click, which contains disease images. The Pre-processing SoyNet Data contains folders of 256*256 resized images and grayscale images in a similar manner to disease and healthy data. A Digital-Camera and a Mobile phone with a high-end resolution camera were used to capture the images. The images were taken at the soybean cultivation field in different lighting conditions and backgrounds. The proposed dataset can be used for training, testing, and validation of soybean classification or reorganization models.
DOI: 10.6084/m9.figshare.19146044.v1
title: DISEASES v2 (dictionary)

description: This file contains the human gene and disease names used for text mining in the DISEASES database v2.
DOI: 10.6084/m9.figshare.20526900.v1
title: Observation of Bose-Einstein condensates of excitons in a bulk semiconductor

description: The raw data used in the study of "Observation of Bose-Einstein condensates of excitons in a bulk semiconductor".
DOI: 10.6084/m9.figshare.28728974.v1
title: K60 Khao sat SV nam cuoi-final1.csv

description: <b>The relationship between smartphone usage, addiction, life satisfaction and academic performance in university students in an emerging country</b>
DOI: 10.6084/m9.figshare.14616864.v1
title: Data output on the lethality of venom from medically important snakes in Kenya

description: Lethality of venom in Artemia salina<br>
DOI: 10.6084/m9.figshare.25912267.v7
title: Low-temperature Alloy Mechanical Properties Database

description: Low-temperature alloys are important for a wide spectrum of modern technologies ranging from liquid hydrogen, superconductivity to the quantum technology. These applications push the limit of material performance into extreme coldness, often demanding a combination of strength and toughness to address various challenges.Steel is one of the most widely used materials in cryogenic applications. With the deployment in aerospace liquid hydrogen storage and transportation, aluminum and titanium alloys are also gaining increasing attention. Emerging medium-entropy alloys (MEAs) and high-entropy alloys (HEAs) demonstrate excellent low-temperature mechanical performance with a much-expanded space of material design. A database of low-temperature metallic alloys is reported here by collecting the literature data published from 1991 to 2023, which is hosted in an open repository. The workflow of data collection includes automated extraction based on machine learning and natural language processing, supplemented by manual inspection and correction, to enhance data extraction efficiency and database quality. The product datasets cover key performance parameters including yield strength, tensile strength, elongation at fracture, Charpy impact energy, as well as detailed information on materials such as their types, chemical compositions, processing and testing conditions. Data statistics are analyzed to elucidate the research and development patterns and clarify the challenges in both scientific exploration and engineering deployment.
DOI: 10.17632/ncy8jrc444
title: Data for: THE EMOTIONAL IMPACT OF CORONAVIRUS 2019-NCOV (NEW CORONAVIRUS DISEASE)
DOI: 10.6084/m9.figshare.13603280.v1
title: Effects of transport and altitude on hormones and oxidative stress parameters in sheep

description: In study, it was aimed to determine the stress effects that can be caused by transporting and altitude in sheep. Karayaka sheeps were used in the study. Karayaka sheeps are a valuable breed of meat quality and fleece, which is raised in the Black Sea region. The live weight of the sheep (n=30) while hungry was determined before transport and sea level. Average live weight was determined as 55.64 ± 4.66 kg. Blood samples were collected just before (sea level) and just after transport (1500 meters above sea level). Transportation distance was approximately 182 km and duration was 5 hours. According to the findings, cortisol was not affected by transport stress and altitude (P&gt;0.05) and Triiyodotironin (T3) (P&lt;0.039) and Tyrosine (T4) (P&lt;0.000) were affected significantly. Malondialchehyche (MDA), which is one of the oxidative stress parameters, was significantly affected (P&lt;0.039) and Protein Carbonyl (PC) values were not affected by transport and altitude (P&gt;0.184). As a result of this study, it was determined that transportation and altitude in sheep causes stress. Stress-reducing measures should be taken in the exposure of sheep to altitude differences and in transportation. Antioxidant nutritional supplements should be made in order not to negatively affect the meat quality in sheep. <br>
DOI: 10.6084/m9.figshare.14382035.v15
title: DTM and DSM of Kraków

description: DTM and DSM from LiDAR data<br>
DOI: 10.6084/m9.figshare.15149247.v2
title: Viral biogeography of the mammalian gut and parenchymal organs

description: Little is known on how the gastrointestinal virome is structured along the longitudinal axis of the mammalian digestive system. In this study we report a comprehensive metagenomic analysis of the prokaryotic and eukaryotic virome occupying luminal and mucosa-associated habitats along the length of the gastrointestinal tract (GIT) in two representative mammalian species, the domestic pig and rhesus macaque (six animals of each species), chosen for their relevance to humans. The highest loads and diversity of bacteriophages (class <em>Caudoviricetes</em>, family <em>Microviridae</em> and others) were detected in the lumen of the large intestine in both mammals. Mucosal samples contained much lower viral loads but a higher proportion of eukaryotic viruses (families <em>Astroviridae</em>, <em>Caliciviridae</em>, <em>Parvoviridae</em>). Parenchymal organs (liver, lung and spleen) contained significant numbers of bacteriophages of gut origin, in addition to some eukaryotic viruses. GIT virome composition is both region- and species-specific and is distinct between upper and lower gut. Upper GIT and mucosa-specific viruses are greatly under-represented in distal colon samples, which is used as a proxy for faeces. Nonetheless, certain viral and phage species are found ubiquitously from the oral cavity to the distal colon. The dataset and its accompanying methodology may provide an important resource for future work investigating the biogeography of the mammalian gut virome.
DOI: 10.6084/m9.figshare.26087830.v1
title: HiGTS_2007s3

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2007s3 contains the data from July 1, 2007 to September 30, 2007.
DOI: 10.17632/bm2f649k9c
title: Data for: Unemployment-based Capital Asset Pricing Model

description: Data for matching term structure and equity premium, includes all co-moments of consumption and market distribution