cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9xdkxnt2z3.1
title: Dataset wayuu

description: Technological skills are currently part of educational programs in university education, since they affect the consolidation and construction of new knowledge. Additionally, they develop skills that allow them to locate, evaluate, use and communicate information in all professional specialties, achieving an adaptation to the demands of society. Added to this, it reduces the digital divide and the inclusion of indigenous ethnic groups. In Colombia, the Wayuu ethnic group resides in the Department of Guajira, which is part of the population of students from public universities. The data in this article shows the competences Wayuu students have with the use of technological tools in their academic activities. The data was collected through a Likert questionnaire from students at public universities and processed through statistical software. The data show that digital literacy is an issue that develops skills to use effectively, technological tools in academic and professional settings.
DOI: 10.17632/2kswncd4m3.2
title: DATABASE MULTICRITERIA AND MULTIMETHOD EVALUATION

description: The files that are stored in this database correspond to the set of collected data, the processing and the results that were found in the research carried out.
DOI: 10.17632/xh69bw8z39.1
title: Effects of host competence and schooling behavior on parasite transmission

description: host competence test and effect of host competence on infection of G. kobayashii
DOI: 10.17632/45s3dnp2vr.1
title: Propranolol or atenolol for the management of infantile hemangioma: implications for long-term health

description: Supplementary appendix to original research letter entitled:
Propranolol or atenolol for the management of infantile hemangioma: implications for long-term health

Including:
Supplementary S1:  Developmental History Questionnaire (completed by parents)
Supplementary S2:  Systematic Clinical Examination Form (completed by pediatrician)
DOI: 10.17632/c8fh8jy78x.1
title: Using conditional independence tests to elucidate causal links in cell cycle regulation in Escherichia coli. Kar et al.

description: The dataset accompanies the publication "Using conditional independence tests to elucidate causal links in cell cycle regulation in Escherichia coli" by Kar et al. The data originates from measurements reported in [S. Tiruvadi-Kirshnan et al., Cell Reports,2022]. The column names 'Tx' correspond to the timings of different events in the cell cycle. Possible values for x  are 'ri1', 'rt', 'c', 'n', 'd', 'ri2', and 'ri3' - corresponding to the initiation of replication, termination of replication, the onset of constriction based on the phase image, the onset of constriction based on Ypet-FtsN signal, cell division, initiation in one daughter cell, and initiation in the other daughter cell, respectively. The times are in minutes. Time zero corresponds to cell birth. Negative times correspond to events in the previous cell cycle. The column names "Lx" list cell lengths at different cell-cycle events. Additionally, Lb corresponds to cell birth. All lengths are in micrometers. Pos, Channel, Cell identify a particular cell cycle. Birthfr and Divfr denote the frame when a cell is born and when it divides, respectively. Each frame is 4 mins apart and is relative to the start of the experiment. So, a cell with Birfr = 20 is born 80 min after the experiment has started.  Mothcell is the value of the Cell column of the mother cell. The mother cell also must have the same Pos, and Channel as the daughter cell. For thymine mutant, the file is named Figure_6_STK37 as we perform experiments on the STK37 E. coli strain.
DOI: 10.17632/sp3v2r2f33.1
title: Data for: A new index of financial conditions

description: Abstract of associated article: We use factor augmented vector autoregressive models with time-varying coefficients and stochastic volatility to construct a financial conditions index that can accurately track expectations about growth in key US macroeconomic variables. Time-variation in the models׳ parameters allows for the weights attached to each financial variable in the index to evolve over time. Furthermore, we develop methods for dynamic model averaging or selection which allow the financial variables entering into the financial conditions index to change over time. We discuss why such extensions of the existing literature are important and show them to be so in an empirical application involving a wide range of financial variables.
DOI: 10.17632/j8r24rz6kz.1
title: Supplemental material for: "Analysis of real-world treatment patterns in patients with prurigo nodularis"

description: Supplemental Text and Supplemental Table
DOI: 10.17632/6v8syv3khp.1
title: Data and imagery for optimization of soil background removal to improve the prediction of wheat traits with UAV imagery

description: This dataset includes agronomic and spectral information from field experiments conducted in Aranjuez (Central Spain) with winter wheat (Triticum aestivum L.) in 2019. The total number of experiments was four and comprises 133 plots with various combinations of water and nitrogen applications. The agronomic data are summarized in an Excel file and contains the crop yield, protein content and N exported in the wheat grain (N output) at harvest in July. The Excel file includes also the average of the spectral indices (NDVI, MSAVI, NDRE and BRI) for each plot. The spectral indices were extracted from the images acquired with a multiespectral camera mounted on an unmanned aerial vehicle in March, April and May. The original images are available under reasonable request to the authors. More detail about these data can be found in the article entitled 'Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery' published in Computers and Electronics in Agriculture by Almeida et al. in 2023.
DOI: 10.17632/d5j9fgbdcn.2
title: Emotions Lexicons in Roman Urdu, along with Emotion Polarity and Mood categorization

description: This dataset consists of two files: one file serves as a dictionary and provides emotion lexicons in both Urdu and English, while the second file contains annotated data. This dataset contains over 14000 multilingual emotion lexicons as well as 10,000 tweets that have been annotated with relation to sentiment, mood, and emotion. The text, which may be written fully in English, entirely in Roman Urdu, or a blend of the two languages, can be analyzed using the dataset.
DOI: 10.17632/y5x89mfch4.1
title: Supplemental tables: Increased incidence of thyroid, renal, lung, melanoma, bladder, and prostate cancers after diagnosis of primary cutaneous B-cell lymphoma: A SEER database analysis

description: We investigated the risks of PCBCL patients developing subsequent cancers distinct from PCBCL, defined as second primary malignancies (SPMs), and stratified the risks based on sex, age, latency, stage, and treatment. This dataset contains demographic information for PCBCL patients who developed SPMs (table 1). Table 2 elucidates the risks of developing the 15 most common solid tumors, stratified by sex. Thyroid, renal, lung, melanoma, bladder, and prostate cancer carried significantly increased risks. Table 3 stratifies SPM risk based on prior treatment history. Prior radiation was associated with an increased risk of prostate cancer and chemotherapy was associated with an increased risk of lung cancer. Table 4 provides evidence that most of these SPMs were diagnosed at early stages. Table 5 provides signs, symptoms, and screening guidelines for the six second malignancies found to develop at increased rates after primary cutaneous B-cell lymphoma. This table can be used by providers to augment PCBCL patient education and guide specialist referral if necessary.
DOI: 10.17632/bvwfy54j2d.2
title: CST computer output (Magnitude of E-field vs offset)

description: This is synthetic marine controlled-source electromagnetic (CSEM) data set which was generated using Computer Simulation Technology (CST) software. This data set is magnitude of electric field (E-field), V/m, versus source-receiver separation distance (offset), m, at various depths of hydrocarbon (250m - 2750m with an increment of 250m each). The magnitude of E-field is inversely proportional to the offset and hydrocarbon depth. If the offset is further apart and depth of hydrocarbon is deeper from the seabed, the strength of E-field decreases. The data set of magnitude of E-field varies in every depth of hydrocarbon. For this data set, multiple transmission frequencies were used during the data acquisition (0.125, 0.25 and 0.5 Hz). This data set was generated based on the typical synthetic seabed logging (SBL) environment in isotropic medium. This data set was taken for offset from 5000m to 10000m of the SBL model due to symmetrical property. In the data processing, only E-fields from offset of ~7400m to ~9500m were considered, and the offsets were set to start from 0m to 5000m. Thus, this data set is for offsets from ~2400m to ~4500m. The details are elaborated in the section below.
DOI: 10.17632/ptkf8y9zk8.1
title: Dataset for “ The six inherent voice of human ”

description: This article explores the causes and solutions to the emotional and human changes that are taking place in today's society according to the age of each person. Here is a data and information on personal discussions and research with some educated, uneducated, students, youth, young people and people involved in different professions After the first article on the relationship of genetic modification with occupation in human life was published in (Psyche) Mendeley data. The present work is grounded in some of Significance quest Theory. Some of the largest organizations in the world have taken various initiatives to move the present society towards progress; significantly, this society will show more tolerance in terms of human food intake or family behavior. Evolution in food habits with gene transfusion; It is a great effort. This article has been written by studying the problems of people of different professions for a long time, Before thousand of years, it is mentioned that, every human being has six values in their body. These six values are 1. Lust, 2. Anger, 3. Greed, 4. Delusion, 5. Pride, 6. Envy. If any one of the value is more than the other five values then, others can be affected and increase or, decrease in exact amount.
DOI: 10.17632/8gz7673s8f.1
title: Data for: Activated olive mill waste-based hydrochars as selective adsorbents for CO2 capture under postcombustion conditions

description: Raw data for CO2 and N2 isotherms is included as well as the results from the TGA experiments and the calculations of the Toth adjustments.
DOI: 10.17632/xwddjfn665.1
title: Review of mass distribution of wind turbine blades

description: A .csv file containing the mass distribution for 21 wind turbine blade models. Each mass distribution consists of 101 positions. Another .csv file include data related to blade length, rotor hub, mass/inertia/CoG as provided by manufacturer
A script file is accompanied that can be used to extract these data.
If you use it, please cite it as "Unveiling inertia constants by  exploring mass distribution in wind turbine blades and review of the drive train parameters", Angel Gaspar Gonzalez-Rodriguez, in Machines,
DOI: 10.17632/bb5zsfp9ww.1
title: A Decade of Donation-Based Crowdfunding: A Bibliometric Analysis

description: Bibliometric Analysis Source File
DOI: 10.17632/w38yygzfhr.1
title: Data for: Using Neural Networks and the Markov Chain Approach for Facies Analysis and Prediction from Well Logs in the Precipice Sandstone and Evergreen Formation, Surat Basin, Australia

description: Core facies description from core observation; Statistical data from the Markov Chain Analysis
DOI: 10.17632/p5w98dvbbk.1
title: Maternal Health Risk Assessment Dataset

description: This dataset comprises detailed clinical, physiological, and historical health information collected from maternal patients to evaluate potential health risks during pregnancy. It serves as a resource for developing predictive models aimed at identifying and managing high-risk pregnancies, providing insights into maternal health factors, and supporting personalized patient care. The dataset is well-suited for research in obstetrics, predictive health modeling, and maternal healthcare management.

Key Features:
Age: Age of the patient, which can be a significant factor in pregnancy risk.
Systolic BP: Systolic blood pressure, indicating the force exerted on artery walls when the heart beats. Elevated levels can indicate hypertension.
Diastolic: Diastolic blood pressure, measuring pressure between heartbeats, where high values can be a sign of gestational hypertension or preeclampsia risk.
BS (Blood Sugar): Blood sugar level of the patient, crucial for monitoring conditions such as gestational diabetes, which can affect fetal and maternal health.
Body Temp: Patient’s body temperature, which can help identify infection or inflammation.
BMI (Body Mass Index): A measure of body fat based on height and weight. Higher BMI values can be associated with complications like gestational diabetes and hypertension.
Previous Complications: Binary indicator (0 or 1) for previous pregnancy complications, which could predispose patients to future risks.
Preexisting Diabetes: Indicates whether the patient has a history of diabetes, an essential factor as it raises the risk for complications.
Gestational Diabetes: Presence of diabetes developed during pregnancy, a significant risk factor for both mother and child.
Mental Health: Indicator of mental health issues, which may affect pregnancy outcomes and maternal wellbeing.
Heart Rate: Heart rate of the patient, which, when elevated, may indicate stress or cardiovascular strain.
Risk Level: Categorized risk level (e.g., High, Low), assessing the overall health risk based on the patient’s profile.
Applications:
This dataset is highly applicable in:

Risk Stratification: Helping healthcare providers assess which patients are at higher risk for complications.
Predictive Modeling: Facilitating machine learning and statistical models to forecast health risks and inform preventive measures.
Maternal Health Research: Supporting studies focused on the impact of various health metrics on pregnancy outcomes.
Healthcare Policy: Providing evidence to develop guidelines for maternal healthcare, especially in populations with limited resources.
This dataset is an invaluable tool for professionals in obstetrics, public health, and predictive healthcare analytics, aimed at improving the quality of maternal care and optimizing health outcomes for mothers and infants.
DOI: 10.17632/k7xcrt84bt.1
title: REPORTE DE VIABILIDAD DE PATENTES DEL PROYECTO FACTORES DEL MODELO EFECTIVO DEL PROCESO DE INNOVACIÓN TECNOLÓGICA – METIP, PARA FOMENTAR LA INNOVACIÓN Y PROTECCIÓN DE LA PROPIEDAD INTELECTUAL EN EL DESARROLLO DE TECNOLOGÍAS EN DIVERSOS ÁMBITOS

description: Constituye veinte (20) Reportes de Viabilidad (RV) sobre invenciones, que constituye parte del PROYECTO FACTORES DEL MODELO EFECTIVO DEL PROCESO DE INNOVACIÓN TECNOLÓGICA – METIP, PARA FOMENTAR LA INNOVACIÓN Y PROTECCIÓN DE LA PROPIEDAD INTELECTUAL EN EL DESARROLLO DE TECNOLOGÍAS EN DIVERSOS ÁMBITOS
DOI: 10.17632/xzynwy3sbz.1
title: Data for: Income inequality and violent crime: Evidence from Mexico's drug war

description: Abstract of associated article: The goal of this paper is to examine the effect of inequality on crime rates in a unique context, Mexico's drug war. The analysis exploits an original dataset containing inequality and crime statistics on more than 2000 Mexican municipalities over a 20-year period. To uncover the causal effect of inequality on crime, we use an instrumental variable for the Gini coefficient that combines the initial income distribution at the municipality level with national trends. Our estimates indicate that a one-point increment in the Gini coefficient between 2007 and 2010 translates into an increase of more that 36% in the number of drug-related homicides per 100,000 inhabitants. The fact that the effect found during the drug war is substantially greater is likely caused by the rise in rents to be extracted through crime and an expansion in the employment opportunities in the illegal sector through the proliferation of drug trafficking organizations (DTOs), accompanied by a decline in legal job opportunities and a reduction in the probability of being caught given the resource constraints faced by the law enforcement system. Combined, the latter factors made the expected benefits of criminal activity shift in a socially undesirable direction after 2007.Sector Board: Poverty (POV)
DOI: 10.17632/7cbkrbpv3v.1
title: Supplemental material for JAAD publication titled - Palm reading and water divining: A cross-sectional study of the accuracy of palmar hyper-linearity and trans-epidermal water loss to identify individuals with a filaggrin gene null mutation.

description: Supplemental material for publication titled - "Palm reading and water divining: A cross-sectional study of the accuracy of palmar hyper-linearity and trans-epidermal water loss to identify individuals with a filaggrin gene null mutation" to be published in Journal of the American Academy of Dermatology
DOI: 10.17632/kt5cht4mgy.1
title: VC green investments 2010-2019

description: We built an ad-hoc dataset gathering data from two main sources. We used one database which contains comprehensive coverage of information about VCs’ investments, and it is frequently used by scholars investigating the VC market and the OECD Environmental Policy Stringency Index Database that contains information about environmental policies on a year and country level. 
We first selected all startups for which top investors’ names were available, founded between 2010 and 2019. We chose the 2010 because it was a year after the Kyoto Protocol that entered into force on 2005 and bounded 192 countries worldwide to reduce greenhouse gas emissions. Moreover, by choosing such a time window we also avoided the financial crisis of 2007-2009 that has unpredictably impacted the VC market (Conti et al., 2019). Similarly, we chose the 2019 to avoid considering the Covid-19 period. Thus, we collected all the top investors who have invested in such startups obtaining a strongly-balanced panel of 3,473 IVCs, CVCs, and GVCs’ unique investors, which have made 16,761 total investments on 12,711 unique startups within 2010 and 2019. The panel contains the number of cumulated investments and the funding amounts invested by each investor in both green and non-green startups. Particularly, the classification of green startups has been made according to endogenous keyword selection through AI, starting from the Crunchbase startup industry classification. 60 keywords were selected by ChatGPT across 10 iterations, representing green industries (see Appendix A). The unit of analysis of the investigation is represented by the VCs.
The OECD policy database, containing a selection of the most prominent environmental policies in force in the OECD countries and more, was leveraged to measure the moderating role of such public regulations.
DOI: 10.17632/w8bnftzk2z.2
title: Data for: Immunohistochemistry expression of targeted therapies biomarkers in ovarian clear cell and endometrioid carcinomas (Type I) and endometriosis.

description: Tipe I ovarian carcinomas
DOI: 10.17632/yf2wz2n8nx.1
title: ChartDataset2023: Introducing a Synthetic Dataset Featuring Various Chart Types for Chart Identification and Visualization

description: We introduce a meticulously curated synthetic chart dataset designed to drive algorithmic advancements in data visualization and interpretation. This dataset, tailored for training and testing, spans diverse chart types, including Area, Bar, Box, Donut, Line, Pie, and Scatter charts. The data collection process employs a fully automatic low-level algorithm for efficient graphical element extraction. With a focus on excluding 3D representations and overlapping elements, the dataset is categorized into training and testing subsets based on resolutions and specific chart types. Comprising in total of 25,894 images, this resource not only serves as a valuable training and testing tool for deep models but also establishes a benchmark for evaluating system performance. The organized structure and versatility of this dataset provide a standardized platform for assessing the effectiveness of different systems in understanding and decomposing visualizations.
DOI: 10.17632/b7bp6xhrcd.1
title: GoCJ: Google Cloud Jobs Dataset

description: The GoCJ dataset is comprised of different files. Each file contains the sizes of a specified number of jobs in terms of Million Instructions (MI) derived from the workload behaviors witnessed in google cluster traces (surveys published). The name of the file determines the number of jobs within the file i.e.; GoCJ_Dataset_100 has the sizes of 100 jobs. The GoCJ dataset is accepted for publication in MDPI Data journal, the citation of the article will be provied very soon. Moreover, the GoCJ dataset (i..e named as Google-like realistic dataset) is used in the following research work of the author. Hussain, A., Aleem, M., Khan, A. et al. Cluster Comput (2018). https://doi.org/10.1007/s10586-018-2414-6
DOI: 10.17632/9skh32kmbm.2
title: Discussiongroups SIM Euthanasia and nursing students

description: Transcription of the discussion groups on SIM euthanasia and nursing students The module was completed by three groups of students from two different University Colleges (n=17 in total). After completing the entire module, each group had a discussion regarding their perceptions and expectations concerning this simulation module. The online learning module was deemed brief and concise by the students, who also found it to be a valuable resource for obtaining background information on the subject matter. The good-practice video was generally considered as positive, but was also perceived differently by the students. Some students find it a useful tool, others find it too guiding. The scenarios were found to be well-crafted, providing sufficient medical information while remaining recognizable, detailed, yet allowing students some flexibility. Students themselves experienced the taboo about euthanasia once they are in their roles during the simulation. Finally, the debriefing process is regarded as a significant benefit for assessing one's own attitude within this context and ultimately enhancing their clinical reasoning abilities. Overall, the students found this simulation module an added value for their education and further careers as nurses. The students expressed their satisfaction with the in-depth coverage of the sensitive topic, which was presented without any taboos or sensationalism.