cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pkxg7y9msz
title: Dataset of the double moon classification problem and the structure of the neural networks that perform the classification

description: Description: 
The attached files contain the data points of the double moon classification problem and the neural network that performs the classification. The double moon is a commonly used binary classification problem for neural networks. The size of the two semicircular arcs can be set by the parameters r and w, which give the radius and the width of the arcs, in our case r = 10 and w = 3. The parameter d defines the position of the classes relative to each other. If d is positive, then the two classes are linearly separable. If it is negative, then the two moons "intersect" and are nonlinearly separable. In this example, d = -5. Neural networks can learn nonlinear decision boundaries, so they can be used to solve this problem. We attach some neural networks that classify these data points with 100% accuracy.

2_moons.txt:
The first column contains the "x" coordinate, the second column the "y" coordinate, and the third column indicates the class of the data point.

x.csv:
The x in the file name indicates the number of hidden layers in the network and the number of hidden neurons within a hidden layer. A special format was used to save the network. The first column contains the number of neurons per layer, including input and output layers. Since we used fully connected feedforward neural networks, it is not necessary to save the endpoints of the edges. The second column contains the bias in the neurons, the bias in the input neurons is not interpreted. Finally, the third column contains the weights of the network.
DOI: 10.6084/m9.figshare.12824258.v1
title: Marsit_et_al_Ploidy_data_2020

description: Hybridization and polyploidy are powerful mechanisms of speciation. Hybrid speciation often coincides with whole genome duplication (WGD). This suggests that WGD may impact the fate of hybrids by increasing access to adaptive mutations and/or restoring fertility. Alternatively, it has also been suggested that hybridization itself may increase the probability of WGD. Testing these models requires that we examine the rate of WGD in hybrids without the confounding effect of natural selection. By measuring the spontaneous rate of WGD of more than a thousand yeast crosses evolved under relaxed selection, we show that WGD can be triggered by hybridization. We also find that higher WGD rate correlates with higher genomic instability, and that WGD increases fertility and genetic variability. These results provide evidence that hybridization itself can promote WGD.
DOI: 10.6084/m9.figshare.24153618.v1
title: Childhood abuse- depression

description: The database recorded information on childhood abuse, self-esteem, coping styles and depression levels among 809 male prisoners.
DOI: 10.17632/87gbx4vc9v
title: STL and nTop Files of Heat Sink Designs (associated with SFF 2024 paper)

description: This includes 5 designs of heat sinks that are discussed in "Additive Manufacturing of Surface-based Structures for Studying Fluid Flow in Heat Sinks with High-Speed Imaging".
DOI: 10.17632/czy64hmhhk
title: Depósito de datos - Aplicación móvil para el control de asistencia de docentes universitarios con autenticación biométrica y verificación de geolocalización

description: Depósito de datos, respecto al los resultados de las encuestas, tiempo, así como, análisis de los mismos
DOI: 10.17632/gfvsdtnf3v
title: Audio Signal Dataset for Danger Detection of Women and Children

description: This publicly available audio signal dataset is built to detect danger for women and children. It contains three classes: children in danger, women in danger, and normal situations. The dataset partition is 70% training set and 30% testing set. The audio files are distributed in two main folders, namely train and test. Each folder is divided into three subfolders, one for each class. The names of those folders are Child (which contains audio files for Children in danger class), Women (which contains audio files for Women in danger class), and Normal (which contains audio files for normal situations). This dataset has 19375 audio files in total, and each file is chopped into 1s. The Children in Danger class has 6488 audio files; among those, 4542 are in the Child subfolder under the Train folder, and 1946 are in the Child subfolder under the Test folder. On the other hand, the Women in Danger class has 6427 audio files; among those, 4498 files are in the Women subfolder under the train folder, and 1929 files are in the Women subfolder under the test folder. Finally, the Normal Situation class has 6460 audio files, among which 4522 are in the Women subfolder under the train folder and 1938 are in the Women subfolder under the test folder.
DOI: 10.17632/8whszkhk6b
title: Gene Ontology functional annotation of tomato

description: Functional annotation based on Gene Ontology for tomato (Solanum lycopersicum) SL3.0 genome assembly / ITAG3.2 annotation and SL4.0 genome assembly / ITAG 4.0 annotation.
The folder "Tomato funtional annotation" contains the files "gene_association.itag3.2.nr" for the ITAG3.2 genome annotation and "gene_association.itag4.0.nr" for the ITAG4.0 genome annotation
DOI: 10.15468/dl.p3awcw
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Gnetum schwackeanum Taub. ex Schenck"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013016-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tcp2g9wgfg
title: Hydrodynamics_Jeungdo tidla flat

description: Research data
DOI: 10.6084/m9.figshare.19391309.v1
title: functional_signatures.gpkg

description: A dataset of functional signatures in Great Britain. Functional signatures encompass areas of similar functional usage, derived from grouping together small-scale spatial units, based on similarity in data ranging from remote sensing to land use, census and points of interest data.
DOI: 10.6084/m9.figshare.23540070.v1
title: Modified IEEE 33-bus and 141-bus distribution systems

description: Supplementary materials for paper "Two-stage Carbon-Oriented Scheduling of an Active Distribution Network with Thermostatically Controlled Load Aggregators"
DOI: 10.6084/m9.figshare.29143649.v1
title: Data for "Combining morphological analysis and interpretable machine learning to reveal spatial variation and environmental influence on the loess landform development"

description: the classification results of loess landform and related characteristic metrices
DOI: 10.17632/kcvpw2pxh6
title: Entrepreneurs’ Creativity, Information Technology Adoption, and Continuance Intention

description: Despite the potential of information technology (IT) to enhance business efficiency and productivity, many entrepreneurs still refuse to adopt it. Their low adoption rate of IT is often attributed to a lack of awareness of its potential benefits. Extending the technology acceptance model, this
study aimed to investigate the effect of creativity mediated by perceived usefulness (PU) and perceived ease of use (PEOU) on the intention to adopt and continue using IT. Additionally, the study explores how entrepreneurial orientation (EO) functions as a contextual factor in the
relationship between creativity, PU, and PEOU. In contrast to extant studies, EO is a better-suited variable for our study as it is more extensive. Data were collected through questionnaires distributed to individual entrepreneurial taxpayers registered in tax offices in the Special Region
of Yogyakarta, Indonesia. The study employed not only a quasi-experimental method with coarsened exact matching to reduce the degree of model dependence, inefficiency, and bias but also a causal mediation analysis to explore the proposed relationships. The study focused on the
adoption of DJP Online, an e-tax service provided by the Directorate General of Taxes as the Indonesian tax authority, and the e-marketplace. In contrast with the factors identified in extant studies, we explain that the variance in PU is attributed to a greater extent to creativity. Similarly,
we find that creativity explains a larger portion of the variance in PEOU than that found in extant studies. Our findings thoroughly explain how creativity influences entrepreneurs’ willingness to adopt and continue using new technologies. Other studies could employ a more diverse and
representative sample to extend these findings.
DOI: 10.6084/m9.figshare.24329572.v1
title: <b>INDEPENDENT PROJECT OF INTENSIVE LISTENING COURSE RELATED TO VOCABULARY BUILDING</b>

description: Project work related to vocabulary development is a face-to-face (f2f) teaching method hindered by certain academic activities related to administrative urgency and student progress. Due to this, an independent project was conducted to enhance the student's stimuli processing in an intense listening lesson related to vocabulary development influenced by previous learning activities.However, the article that will be taught to first-year students in the intensive listening course with the vocabulary-building topic in the second semester [2023/2024] is related to the vocabulary-building topic concerning the publishing window, which is between the years [2023, 2022, 2021, 2019] and has been researched by the following scholars (Barry et al. et al., 2023; Hagen et al., 2022; Zarfsaz & Yeganehpour, 2021; Schmitt, 2019). Further information about the project title and deadline may be found in the following explanation, with detailed instructions that have been clarified. This guidance was developed under the code-mixing and code-switching model [Bahasa and English language] to bridge various prior knowledge of fresh university students who have taken an Intensive listening course in the first semester.
DOI: 10.6084/m9.figshare.25143581.v1
title: IoT-FSCIT

description: IoT-FSCIT is a dataset collected for research purposes. This dataset contains statistical features for five distinct IoT devices data, collected over six weeks at laboratory in Universiti Malaya.
DOI: 10.6084/m9.figshare.6720251.v3
title: Inserción laboral de investigadores

description: Informe de la 2da encuesta de inserción de investigadores hecha por ANIP a comienzos del 2018. La encuesta tiene como propósito reunir datos auto-reportados acerca de la situación académica y laboral de las investigadoras y los investigadores con posgrado.<br>Además, busca conocer la percepción de las investigadoras e investigadores sobre su propia inserción en el sistema chileno de investigación en ciencia y conocimiento.
DOI: 10.6084/m9.figshare.845664.v1
title: Women's dataset from the "Predicting increased blood pressure using Machine Learning" paper

description: This dataset was part of a study that investigated the prediction of increased blood pressure (systolic blood pressure &gt; 120 mmHg for women, and systolic blood pressure &gt; 139 mmHg for men) by body mass index (BMI), waist (WC) and hip circumference (HC), and waist hip ratio (WHR) using a machine learning technique named classification tree. Data were collected from 400 college students (56.3% women) from 16 to 63 years old (Mean = 23.14, Standard Deviation = 6.03). The sample was divided into two sets of each sex (training and test) for cross-validation. Fifteen trees were calculated in the training group for each sex, using different numbers and combinations of predictors. The result shows that for women BMI, WC and WHR is the combination that produces the best prediction, since it has the lowest deviance (87.42) and misclassification (.19), and the higher pseudo R2 (.43). This model presented a sensitivity of 80.86% and specificity of 81.22% in the training set, and respectively 45.65% and 65.15% in the test sample. For men BMI, WC, HC and WHC showed the best prediction with the lowest deviance (57.25) and misclassification (.16), and the higher pseudo R2 (.46). This model had a sensitivity of 72% and specificity of 86.25% in the training set, and respectively 58.38% and 69.70% in the test set. Finally, the result from the classification tree analysis was compared with traditional logistic regression, indicating that the former outperformed the latter in terms of predictive power. The new prediction algorithms provided by the current paper can be used to estimate increased blood pressure in women and hypertension in men. This can be of special interest for health professionals that have scarce material resources (such as blood pressure monitors), and that need to rely on inexpensive and easy to use diagnostic methods.
DOI: 10.6084/m9.figshare.28686020.v3
title: Do water-energy dynamics drive plant species richness patterns on the high alpine Tibetan plateau?

description: Data for water energy dynamics manuscript
DOI: 10.17632/2474843g7x
title: Potassium isotope compositions of Mariana arc lavas and their sedimentary input - Data

description: Data file for "Potassium isotope compositions of Mariana arc lavas and its sedimentary input. Included are data for main text tables 1 and 2, and supplementary tables S1 to S7. Also included are major element, trace element, and radiogenic isotope data for Mariana arc lavas and sedimentary input.
DOI: 10.17632/gr56txkrw4
title: Destination image, nostalgic feeling, flow experience and agritourism: An empirical study of Yunling Tea Estate in Anxi, China

description: The formal questionnaire for this study was distributed offline using a convenience sampling method. The data were collected from March 16, 2021, to July 20, 2021. Considering factors such as an increase in the number of tourists to the tea estate and wider coverage during weekends and holidays to increase the representativeness of the sample data, this study focused on weekends and holidays (such as Labour Day and Dragon Boat Festival) in the four months of the study period. On each of these days, the research team chartered a bus to Yunling Tea Estate in Anxi and invited tourists to participate in the questionnaire survey from 10:00 to 16:00. The team members first introduced the study to the respondents and then, upon obtaining their consent, distributed the questionnaire. It took the tourists an average of 15 minutes to complete the questionnaire. A total of 309 questionnaires were distributed and, after excluding 32 invalid questionnaires, 277 valid questionnaires were collected, for a recovery rate of 89.64%.
DOI: 10.17632/h9335fgsgr
title: Data Berita dan Opini Publik Indonesia di Youtube Tahun 2024

description: Data ini berisi 358.299 komentar publik yang diterbitkan dari 01 Januari 2024 hingga 18 Mei 2024 dari saluran YouTube Indonesia Lawyers Club yang terkenal. Data tersebut memiliki 15 properti berita yang mencakup URL video, judul, suka, tampilan, tanggal penerbitan, tagar, deskripsi, penulis komentar, waktu komentar, komentar, suka dalam komentar, penulis balasan, waktu balasan, balasan, dan suka dalam balasan. Untuk memastikan privasi, nama komentator dikodekan dalam data. Data ini terbuka untuk digunakan oleh para peneliti. Data ini dapat membantu para peneliti untuk mengidentifikasi pola-pola dalam opini publik dan menganalisis bagaimana opini publik berubah setiap waktunya.
DOI: 10.17632/s8kbw25s3x
title: Diabetic Retinopathy Analysis Challenge Dataset

description: The dataset used in the Diabetic Retinopathy Analysis Challenge (DRAC).
DOI: 10.6084/m9.figshare.27276720.v1
title: 0055581-240506114902167.csv

description: All GBIF Lepidoptera data up until 2019, regardless of basis of record and data publisher (only as species list with number of occurrences):Suggested citation: GBIF.org (02 June 2024) GBIF Occurrence Download https://doi.org/10.15468/dl.jjh3pd
DOI: 10.17632/j8bzd5dvpx
title: IPB-MSA&SO4: In-situ Produced Biogenic Methanesulfonic Acid and Sulfate over the North Atlantic

description: The dataset includes daily in-situ produced biogenic methanesulfonic acid and sulfate concentrations at sea level over the North Atlantic from 01/01/1998 to 31/12/2022, which was generated based on Gaussian process regression (GPR) machine learning algorithm by combining in-situ observations of sulfur aerosol data at Mace Head research station, west coast of Ireland, and from NAAMES cruises in the NW Atlantic, combined with the constructed sea-to-air dimethylsulfide flux (https://doi.org/10.1016/j.scitotenv.2023.162123) and ECMWF-ERA5 (https://doi.org/10.24381/cds.adbb2d47) reanalysis datasets.

This dataset is discussed in a manuscript titled "IPB-MSA&SO4: a daily 0.25° resolution dataset of In-situ Produced Biogenic Methanesulfonic Acid and Sulfate over the North Atlantic during 1998–2022 based on machine learning" by Mansour et al. (2023), which is currently under review in the "Earth System Science Data (ESSD)" Journal. 

Details of the data description can be found in the pdf file: Data description of IPB-MSA&SO4.pdf

Corresponding author: Karam Mansour (k.mansour@isac.cnr.it)
DOI: 10.17632/vkx6m3n57h
title: Certified Perioperative Nurses in the Establishment of Preoperative Outpatient Visits and Rate of Preoperative Assessment in Japan: A Cross-sectional Study

description: Abstract
Aim: To investigate the effects of certified perioperative nurses on preoperative outpatient visits and preoperative assessments.
Design and methods: The study period ranged from February 2021 to September 2022, and data were collected and analyzed using a questionnaire at 247 facilities that administer more than 800 general anesthetics annually. The primary outcome measure was the preoperative assessment rate of preoperative and outpatient visits. To analyze the factors affecting the rate of preoperative assessment with the primary endpoint of preoperative outpatient and preoperative visits, we performed multivariate analysis of facility characteristics, medical staff background, and the presence or absence of certified perioperative nurses.
Data sources: The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
Results: Sixty-eight and forty-one institutions in the enrolled and non-enrolled groups underwent a preoperative assessment, respectively, and the enrolled group underwent a significantly higher number of preoperative assessments than did the non-enrolled group. The medians of the enrolled and non-enrolled groups were 90.0 and 83.0, respectively, indicating a significantly higher preoperative assessment rate in the enrolled group than in the non-enrolled group. Multivariate analysis of factors influencing the preoperative assessment rate revealed a significant association with certified perioperative nurse attendance.
Conclusion: Facilities where certified perioperative nurses are enrolled have a significantly higher prevalence of preoperative outpatient visits and significantly higher rates of preoperative assessments than do facilities where certified perioperative nurses are not enrolled.
Implications for the profession and/or patient care: Enrollment of certified perioperative nurses works effectively in preoperative and outpatient visits.
Impact: Enrollment of certified perioperative nurses will lead to the improvement of the quality of preoperative nursing interventions.
Reporting Method: We have adhered to relevant EQUATOR guidelines. 
Patient or Public Contribution: No Patient or Public Contribution. Because this study was aimed at medical professionals.

Keywords: Certified Perioperative Nurse; Preoperative Outpatient; Rate of Preoperative Assessment
DOI: 10.17632/zjp7cmzh3m
title: Cavendish_Banana_Transcriptome_Dataset

description: Transcriptomic dataset from The data in this article included the transcriptomics of 6 plantlets from the control groups watered with sterile distilled water, and six plantlets from the treatment group were watered with 60 mg L-1 of silica fertiliser. Acclimatisation was conducted for 110 days under 16-hour lighting and room temperature conditions. After 110 days, Foc TR4 infections were introduced to 6 plantlets from each control and treatment group. The process is conducted by cutting around 1-2 cm of plantlet roots to enhance infection and adding 3 mL of Foc TR4 conidia suspensions into the soil around the plantlet’s roots. The global gene expression changes from the transcriptomics of cavendish banana plantlets were evaluated—the files of the transcriptomics dataset, which were generated from 12 libraries of raw data.
DOI: 10.6084/m9.figshare.20474874.v1
title: Phylogenetic tree for tfdA with boostraps

description: Tree of curated tfdA sequences with bootstrap values.
DOI: 10.6084/m9.figshare.5147311.v1
title: data for uploading-1.pdf

description: Data set for PLoS one paper.<br>
DOI: 10.6084/m9.figshare.c.3622358_d1.v1
title: Additional file 1: of Determinants of severity levels of anemia among children aged 6â  59 months in Ethiopia: further analysis of the 2011 Ethiopian demographic and health survey

description: NUTN-D-15-00006 last used data (an excel file up on which all the results of the manuscript was based). (XLS 1979 kb)
DOI: 10.6084/m9.figshare.28937720.v1
title: RuSpacer: CRISPR Spacer Database from the Ruminant Gastrointestinal Microbiome

description: RuSpacer is a database of CRISPR spacer sequences derived from prokaryotes in the ruminant gastrointestinal tracts. This dataset includes 181,023 CRISPR spacer sequences from 9,391 prokaryotic genomes.
DOI: 10.17632/cpt3nh6jct
title: Annual Bilateral Migration Data - 1960-2022

description: The study of the patterns and evolution of international migration often requires high-frequency data on migration flows on a global scale. However, the presently existing databases force a researcher to choose between the frequency of the data and its geographical scale. Yearly data exist but only for a small subset of countries, while most others are only covered every 5 to 10 years. To fill in the gaps in the coverage, the vast majority of databases use some imputation method. Gaps in the stock of migrants are often filled by combining information on migrants based on their country of birth with data based on nationality or using ‘model’ countries and propensity methods. Gaps in the data on the flow of migrants, on the other hand, are often filled by taking the difference in the stock, which the ’demographic accounting’ methods then adjust for demographic evolutions.

This database aims to fill this gap by providing a global, yearly, bilateral database on the stock of migrants according to their country of birth. This database contains close to 2.9 million observations on over 56,000 country pairs from 1960 to 2022, a tenfold increase relative to the second-largest database. In addition, it also produces an estimate of the net flow of migrants. For a subset of countries –over 8,000 country pairs and half a million observations– we also have lower-bound estimates of the gross in- and outflow.

This database was constructed using a novel approach to estimating the most likely values of missing migration stocks and flows. Specifically, we use a Bayesian state-space model to combine the information from multiple datasets on both stocks and flows into a single estimate. Like the demographic accounting technique, the state-space model is built on the demographic relationship between migrant stocks, flows, births and deaths. The most crucial difference is that the state-space model combines the information from multiple databases, including those covering migrant stocks, net flows, and gross flows.

More details on the construction can currently be found in the UNU-CRIS working paper: Standaert, Samuel and Rayp, Glenn (2022) "Where Did They Come From, Where Did They Go? Bridging the Gaps in Migration Data" UNU-CRIS working paper 22.04. Bruges. 

https://cris.unu.edu/where-did-they-come-where-did-they-go-bridging-gaps-migration-data