cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5xvvv682hs
title: Data for article "Simplistic correlations between molecular electronic properties and inhibition efficiencies: Do they really exist?"

description: This dataset contains raw/processed data required to reproduce findings of the manuscript entitled »Simplistic correlations between molecular electronic properties and inhibition efficiencies: Do they really exist?« by Anton Kokalj et al. submitted to Corrosion Science. In particular, it contains experimental data of linear polarization resistance measurements (all Rp values) and input and output files of molecular DFT calculations, performed with Gaussian-16. With the provided data, the findings presented in the manuscript can be reproduced. The zip file unzips into the folder: Kokalj_et_al_Data. Please read the file README.txt therein for further description of files.
DOI: 10.17632/hzmt5skpdy
title: PLK1 blockade enhances the anti-tumor effect of MAPK inhibition in pancreatic ductal adenocarcinoma

description: Original Western Blot Images from the figures displayed in the manuscript: PLK1 blockade enhances the anti-tumor effect of MAPK inhibition in pancreatic ductal adenocarcinoma
DOI: 10.17632/n68bg3nwcr
title: Single particle calculations for a Woods–Saxon potential with triaxial deformations, and large Cartesian oscillator basis (new version code)

description: Abstract We present a new version of the computer program which solves the Schrödinger equation of the stationary states for an average nuclear potential of Woods-Saxon type. In this work, we take specifically into account triaxial (i.e. ellipsoidal) nuclear surfaces. The deformation is specified by the usual Bohr parameters. The calculations are carried out in two stages. In the first, one calculates the representative matrix of the Hamiltonian in the Cartesian oscillator basis. In the second stage o... Title of program: Triaxial2007 Catalogue Id: ADSK_v2_0 Nature of problem The Single particle energies and the single particle wave functions are calculated from one-body Hamiltonian including a central field of Woods-Saxon type, a spin-orbit interaction, and the Coulomb potential for the protons. We consider only ellipsoidal (triaxial) shapes. The deformation of the nuclear shape is fixed by the usual Bohr parameters (Β, Γ) . Versions of this program held in the CPC repository in Mendeley Data ADSK_v1_0; Triaxial; 10.1016/S0010-4655(03)00464-8 ADSK_v2_0; Triaxial2007; 10.1016/j.cpc.2007.02.096 ADSK_v3_0; Triaxial2014; 10.1016/j.cpc.2014.07.016 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/kwb6zs4jhn
title: Dataset Models of Teacher Productivity in Seventh-Day Adventist Foundation High Schools

description: This research explores the relationships between transformational leadership, organizational climate, empowerment, and work motivation, and their impacts on teacher productivity in Seventh-Day Adventist Foundation high schools across North Sulawesi Province. The hypothesis posits significant direct and mediated effects among these variables. Data were collected from 117 teachers using validated Likert-scale questionnaires, with scores categorized into eight frequency intervals for each variable. The results indicate that organizational climate, empowerment, and work motivation significantly enhance teacher productivity, while transformational leadership does not have a direct effect. Moreover, work motivation does not significantly mediate the relationships between the other variables and productivity. The regression model explains 61.1% of the variance in teacher productivity, supported by statistical tests confirming data normality, homoscedasticity, and the absence of multicollinearity. These findings emphasize the importance of fostering a positive organizational climate and empowerment programs, while leadership training should prioritize practices that directly influence productivity. The data and results provide actionable insights for educators, administrators, and policymakers aiming to improve teacher effectiveness and educational outcomes.
DOI: 10.17632/tg7cttx777
title: The use of immunohistochemical staining in Mohs micrographic surgery for melanoma: a systematic review

description: Supplemental materials: PRISMA checklist, Search Query, and Methodological Quality Analysis.
DOI: 10.17632/wgmnbmmm7w
title: Data-school type-PSAT & CTAT analysis

description:  Before, any teaching was done, form-two students were given a pretest on Critical thinking ability and on problem solving ability. This was done to check their  level of knowledge. Pretest covered  simple machines- a chapter in Physics and was done under similar conditions for four government and four private lower secondary schools.  Problem based learning method was used as an instruction for only schools under treatment group and those under control group used methods like talk and chalk , dictating notes and others. At the end of the a chapter, a post-test was administered.   Critical thinking ability  test (CTAT) scores and problem solving ability test (PSAT) scores were compiled in excel and analyzed using SPSS . PSA post-test showed a very high statistically significant effect between treatment and control group in favor of treatment group. Also high statistically significant difference between Government and Private schools in favor of Private schools. Students in treatment group from private schools have statistically performed well compared to their counterparts from government schools.
 Critical thinking abilities increased significantly after learning. There was a very high statistically significant difference in pre-and post-test. The same significant difference was found between teaching intervention in favor of Problem based learning (PBL).
DOI: 10.6084/m9.figshare.13682596.v1
title: DATA.xlsx

description: This data are provided by companies that have been named as successful experiments in the field of renewable energy and energy efficiency including wind power plants, solar power plants, biomass power plants, small hydroelectric power plants and thermal recovery plants. The implementation of surveys and data collection was carried out online through a web-based platform and in-person interviews with some companies to conduct surveys.<br>The questionnaire-based on a 5-point Likert Scale, in which 1 is “strongly disagree” and 5 is “strongly agree”.The key people who work in organizations or sites related to renewable energy projects were the target population. Respondents have partially responded to their personal project knowledge. About 73 organizations, companies, and sites were selected to participate in the survey and a total of 360 active members of these projects expressed their views.<br>
DOI: 10.6084/m9.figshare.5092678.v1
title: Gaining Historical and International Relations Insights from Social Media: Spatio-Temporal Real-World News Analysis using Twitter.

description: This dataset consists of metadata related to 24,508 news events, collected from Twitter spanning from August 2013 to June 2015. The events encompasses a total of 193,445,734 tweets produced by 26,127,624 different users.The files contain different aspects of the data.<br>- components.tsv consists of the description of the events (components) of our dataset, consisting of 4 columns separated by tabs. The columns correspond to the component ID, the date of an event, the amount of tweets and a set of keywords describing the event, separated by commas (having a minimum of 2).<br>- componentlocation.tsv consists of the description of the locations where the events happened (“protagonist locations”). The columns correspond to an ID, the component ID, the names of the locations, the frequency (how many times that location was mentioned in the component), the country code, and six more non-relevant columns. Note that one component can be in several rows, one per location being mentioned for that component.- country_protagonized-events.csv consists of the amount of events that one specific country is a protagonist of. It contains two columns, separated by comma, being the first the country code and the second the amount of events (components) that country is a protagonist of.<br>- country_tweets.csv consists of the amount of tweets that one specific country has issued along all the events. It contains two columns, separated by comma, being the first the country code and the second the amount of tweets that country has issued.- participation_data.txt contains a matrix indicating the amount of tweets per country, per event. It contains one row per component ID, and one column per country (plus one column for the component ID); the cell value is the amount of tweets that country has issued for that event.<br>- similarities_no_reciproco_percentile.csv corresponds to the similarity between co-protagonist countries. The columns are in the following order: Country 1, the amount of events Country 1 is a protagonist of, Country 2, the amount of events Country 2 is a protagonist of, the Jaccard Similarity between the two countries (where the country is represented by the set of the component IDs that country is a protagonist of), and the percentile of that similarity value (ranging from 0 to 1).- users_events_distinct.txt corresponds to the amount of unique users participating in an event. The columns are separated by tabs. The first columns is the component ID, the second is the amount of different users for that event, and the third is the amount of of different news sources for that event.- countries.txt is the mapping between country code and country name, separated by space.
DOI: 10.17632/f3pt64g4wf
title: Bilingual Education in Spain and some Latin American Countries

description: Bilingual education is understood as such an organization of the educational process when it becomes possible to use more than one language as the language of instruction. The second language, therefore, is not only an object of study, but also at the same time a means of communication, the language of instruction. It is known that bilingualism is "widespread" throughout the world much wider than monolingualism. Take the United States, for example. Most of the Hispanic population speaks both Spanish and English, or a variety such as Spanglish. Almost all speakers of other languages here also speak English: Germans, Chinese, Russians and representatives of other nations.
DOI: 10.17632/hpmts74ksr
title: Data for: Experimental degassing of moderately volatile chalcophile elements from silicate melt with and without sulfur present

description: Data tables reported in: Experimental degassing of moderately volatile chalcophile elements from silicate melt with and without sulfur present
DOI: 10.17632/sdvs4nbgym
title: Jordan Unemployment Rates and Google Trends Data (2010-2024): Analyzing Economic Sentiment Through Search Behavior in Arabic and English

description: This dataset combines official unemployment rates in Jordan from 2010 to the end of September 2024 with Google Trends data capturing search behaviour in Arabic and English. Experts curated the search phrases to reflect terms associated with job searches, unemployment concerns, and expressions of economic frustration. This unique dataset offers a rich blend of traditional economic indicators and non-traditional data, such as search trends, providing a novel approach to understanding and predicting unemployment in an emergency context, particularly during and after the COVID-19 pandemic.

By leveraging search trends as proxies for real-time public sentiment and behaviours, this dataset opens the door to more immediate economic forecasts, bridging the gap between releasing official unemployment data and real-time indicators. Such insights are precious during economic uncertainty or crisis periods, where swift policy responses are critical. Researchers and policymakers can use this dataset to explore correlations between public search behaviour and unemployment rates, potentially allowing for earlier interventions based on predictive models incorporating traditional and non-traditional data.
DOI: 10.17632/tcfzkbpw46
title: Hornet 40: Network Dataset of Geographically Placed Honeypots

description: Hornet 40 is a dataset of 40 days of network traffic attacks captured in cloud servers used as honeypots to help understand how geography may impact the inflow of network attacks. The honeypots are located in eight different cities: Amsterdam, London, Frankfurt, San Francisco, New York, Singapore, Toronto, Bangalore. The data was captured in April, May, and June 2021. The eight cloud servers were created and configured simultaneously following identical instructions. The network capture was performed using the Argus network monitoring tool in each cloud server. The cloud servers had only one service running (SSH on a non-standard port) and were fully dedicated as a honeypot. No honeypot software was used in this dataset. The dataset consists of eight scenarios, one for each geographically located cloud server. Each scenario contains bidirectional NetFlow files in the following format: - hornet40-biargus.tar.gz: all scenarios with bidirectional NetFlow files in Argus binary format; - hornet40-netflow-v5.tar.gz: all scenarios with bidirectional NetFlow v5 files in CSV format; - hornet40-netflow-extended.tar.gz: all scenarios with bidirectional NetFlows files in CSV format containing all features provided by Argus. - hornet40-full.tar.gz: download all the data (biargus, NetFlow v5, and extended NetFlows)
DOI: 10.6084/m9.figshare.18551381.v1
title: breast cancer

description: Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.<br>n the 3-dimensional space is that described in: [K. P. Bennett and O. L. Mangasarian: "Robust Linear Programming Discrimination of Two Linearly Inseparable Sets", Optimization Methods and Software 1, 1992, 23-34].This database is also available through the UW CS ftp server:<br>ftp ftp.cs.wisc.edu<br>cd math-prog/cpo-dataset/machine-learn/WDBC/Also can be found on UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
DOI: 10.17632/4g45b98pzy
title: Racial and Ethnic differences in time to definitive surgery for melanoma: A retrospective study from the National Cancer Database

description: Supplementary material
DOI: 10.17632/4k443mtkxd
title: Testing Telediagnostic Obstetric Ultrasound in Peru: A New Horizon in Expanding Access to Prenatal Ultrasound

description: A. Why was the study conducted? • There are significant global inequalities in access to diagnostic Obstetric ultrasound • An innovative, novel Obstetric telediagnostic ultrasound system was developed to overcome limitations in deploying Obstetric ultrasound to resource-limited areas • This system was tested in Peru for agreement with standard of care imaging for detection of key aspects of a pregnancy B. What are the key findings? • The Obstetric telediagnostic ultrasound system demonstrated excellent agreement with standard of care ultrasound in the identification of fetal presentation, fetal number, placental position, and amniotic fluid volume and high intraclass correlation for measurements of fetal biometry C. What does this study add to what is already known? • This study demonstrates feasibility of a novel Obstetric ultrasound telediagnostic system • Compared to prior studies, the system presented here removes substantial barriers to Obstetric ultrasound access since it does not require the presence of trained sonographer, sonologist, or expensive equipment at the time of ultrasound and has asynchronous remote interpretation utilizing low-bandwith internet connection.
DOI: 10.17632/5tcdzzsmx8
title: Explainable AI (XAI) and Interpretable Machine Learning (IML) in Healthcare Dataset

description: Explainable AI (XAI) and Interpretable Machine Learning (IML) in Healthcare Dataset was compiled from the Web of Science database, encompassing a comprehensive collection of 5,083 research articles focused on AI explainability in healthcare. The dataset includes various document types, such as Articles, Review Articles, Early Access Papers, and Proceeding Papers, all in English. Spanning from 1986 to April 2023, the dataset features key attributes, including Authors, Author Full Names, Article Title, Document Type, Author Keywords, Keywords Plus, Abstract, Publication Year, DOI Link, WoS Categories, and Research Areas.

This dataset has been created to provide essential insights into the utilization of XAI and IML in healthcare contexts. In our work [1], we utilized this dataset to perform a systematic analysis, resulting in the identification and categorization of 13 key parameters across three macro-parameters: Research Methods, Health Disorders, and Disease Prevention. Informed by a focused review of over 200 articles, this analysis illuminates specific applications and highlights challenges in XAI, showcasing its impact on enhancing diagnostic accuracy, treatment efficacy, and preventive strategies. We then developed the FIXAIH framework to transform these insights into actionable guidelines, enhancing the interpretability, explainability, and accountability of AI systems in healthcare. Designed to ensure that AI technologies are ethically sound and comprehensible to healthcare professionals, the FIXAIH framework bridges the gap between technical proficiency and clinical utility, promoting the practical application of AI for a more reliable and patient-centric approach.

This dataset and its analysis are integral to our broader research and development strategy, focusing on multiperspective parameter discovery and the advancement of autonomous systems [2]. Our approach leverages big data, deep learning, and digital media to explore and analyze cross-sectional, multi-perspective insights, supporting improved decision-making and more effective governance frameworks. These perspectives span academic, public, industrial, and governmental domains. We have applied this approach across various fields and sectors, including AI governance [3], energy [4], education [5], healthcare [6–8], transportation [9,10], labor markets [11,12], tourism [13], service industries [14], and others.

References
1. doi:10.2139/SSRN.5086713.
2. doi: 10.54377/95e5-08b3
3. doi:10.3389/FNINF.2024.1472653/BIBTEX.
4. doi:10.3389/FENRG.2023.1071291.
5. doi:10.3389/FRSC.2022.871171/BIBTEX.
6. doi:10.3390/SU14063313.
7. doi:10.3390/TOXICS11030287.
8. doi:10.3390/app10041398.
9. doi:10.3390/SU14095711.
10. doi:10.3390/s21092993.
11. doi:10.3390/JOURNALMEDIA4010010.
12. doi:10.1177/00368504231213788.
13. doi:10.3390/SU15054166.
14. doi:10.3390/SU152216003.
DOI: 10.17632/db8tg8gk9b
title: Spiritual Leadership Data set

description: Spiritual leadership data set in higher education
DOI: 10.17632/k8xgtr875w
title: Data for "Comparison of Dam Inflow Generation Techniques for Assessing Drought Coping Capacity"

description: This dataset includes input data used for the publications for "Comparison of Dam Inflow Generation Techniques for Assessing Drought Coping Capacity" currently under review in Water Resources Management.
DOI: 10.17632/kcty2wvw4d
title: Replication files for: "Natural Disasters, Climate Change, and Sovereign Risk"

description: Replication files for Natural Disasters, Climate Change, and Sovereign Risk
DOI: 10.17632/mfxsg2d5x5
title: ProIO: An event-based I/O stream format for protobuf messages

description: ProIO is a new event-oriented streaming data format which utilizes Google’s Protocol Buffers (protobuf) to be flexible and highly language-neutral. The ProIO concept is described here along with its software implementations. The performance of the ProIO concept for a dataset with Monte-Carlo event records used in high-energy physics was benchmarked and compared/contrasted with ROOT I/O. Various combinations of general-purpose compression and variable-length integer encoding available in protobuf were used to investigate the relationship between I/O performance and size-on-disk in a few key scenarios.
DOI: 10.17632/xnybj84hv7
title: Correlating Daily Weather with Power Demands in Bangladeshi Divisions

description: Analyzing correlation between various weather variables and power consumption in Bangladesh
DOI: 10.17632/ykv2fpw5bg
title: Data for: A cation/anion co-doped Li1.12Na0.08Ni0.2Mn0.6O1.95F0.05 cathode for lithium ion batteries

description: CV, EIS, Raman, SEM, TEM, XPS, XRD.etc
DOI: 10.17632/fv6tg9n2jh
title: Dataset for "Microburst Detection with the WRF Model: Effective Resolution and Forecasting Indices"

description: Abstract: Microbursts are meteorological phenomena in the lower troposphere which can produce damaging surface winds and pose a severe risk to aircraft flying close to the ground. As these events usually span less than 4 km and 15 min, the spatiotemporal resolution is a challenge for numerical simulations. Although research of microburst using operative mesoscale models is scarce, the Weather Research and Forecasting model has been used in the diagnosis of this phenomenon. In this paper, such model is used to simulate several microburst conducive days using two different boundary conditions. The energy spectra of the simulations are computed to evaluate the effective resolution of the model. The results are in line with previous studies and produce no notable differences among the boundary conditions. Nonetheless, the energy spectra show an over-energetic troposphere at microscale resolutions, rendering the effective resolution inadequate for microburst forecasting using the simulated physics variables. Thus, mesoscale indices are analysed as a prognostic tool. The Wind Index, the Wet Microburst Severity Index and the Microburst Windspeed Potential Index do not show high forecasting performances, even though improving the results of climatology. Also, notable differences among the boundary conditions can be seen. The most consistent results are achieved by the Wet Microburst Severity Index. Note: Due to the high resolution used, the 40 simulations produced are over 7 TB is size. Only the WRF configuration files are provided here, to reproduce the simulations if necessary. The NCL scripts can be used to plot the Energy Spectra and several variables used in the evaluation. The R scripts can be used to plot ROC curves. See each file description for further detail.
DOI: 10.17632/ycxvmj77x5
title: Data for: Collapse mechanism analysis of historic masonry structures subjected to lateral loads: a comparison between continuous and discrete models

description: Finite element mesh, rigid block model coordinates and rigid block CAD models of numerical case study
DOI: 10.17632/spkyvvchrb
title: Data for: Assessment of the accuracy of several methods for measuring the spatial attitude of geological bodies using an Android smartphone

description: This is the data obtained by Android smartphone sensors, when phone is placed at different orientations. We have re-examined and modified the formulas for the calculation methods.
DOI: 10.17632/33vx2pbv8z
title: Clinical response and safety of upadacitinib for alopecia areata: A retrospective study

description: Supplemental Figure 1 detailing the change of SALT score during the treatment. Supplemental Table 1 detailing characteristics of patients with alopecia areata treated with oral upadacitinib. Supplemental Table 2 detailing evaluation of AA severity, clinical improvement, and treatment response during upadacitinib administration.