cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t5sssfgn2v.3
title: VegNet: An extensive dataset of cauliflower images to recognize the diseases using machine learning and deep learning models

description: (1) The world economy largely depends on vegetable production, whereas Cauliflower is an extremely healthy vegetable that’s a significant source of nutrients. It also contains unique plant compounds that may reduce the risk of several diseases, including heart disease and cancer. Because of the early disease recognition of cauliflower, the farmer cannot produce high yield and face economic loss.
(2) In the recent era, image classification and detection is crucial application of Computer Vision. 
(3) In this dataset, two types files of cauliflower images are included, namely the original image file and the augmented image file. Three types of diseases, namely downy mildew, black rot, and bacterial spot rot, exist in every file. Besides, the disease free image of a cauliflower is also included.  
(4) A total of six hundred and fifty six images (656) are collected from the sunflower garden contained in the original image file. Then the augmentation operation is performed to boost the images, and a total of seven thousands and three hundred sixty (7360) images are contained in the augmented image file. 
(5) The images of cauliflower (disease-affected and disease-free) are assembled from the Manikganj (vegetable producing zone nearby the capital city of Dhaka) area of Bangladesh.
DOI: 10.17632/w24g8xn23c.3
title: BAAD: A Multipurpose Dataset for Automatic Bangla Offensive Speech Recognition

description: This dataset contains audio data of common abusive Bengali words. The audio data includes 114 slang words with 5277 audio clips by 60 native speakers who participated, speaking in various dialects from over 20 districts. The recorded audio  data is natively recorded  by the participants in .WAV format. 

•  This dataset can be used to develop an automatic Bengali Slang Speech Recognition System, and also as a benchmark for new ML models.
•  This dataset can potentially help minimize cyberbully victims and children exposed to abusive remarks on video/audio content containing abusive language. 
   In addition, this dataset of carefully collected offensive language in Bengali aims to work towards achieving this goal. 
•  65% of the participants were male and 35% were female. 
•  10 university students participated in the evaluation of this dataset.
•  This dataset can be further enriched, and some background noise in the dataset can be useful to simulate a more real world scenario, if desired, which 
   otherwise could be removed.

***Warning: this dataset contains audio content that may be disturbing or upsetting. ***
DOI: 10.17632/r3ss3v53sj.5
title: VIFFD - A dataset for detecting video inter-frame forgeries

description: This data-set was used in evaluating "Detecting Video Inter-Frame Forgeries "
DOI: 10.17632/58mmzjsjcr.1
title: Blood glucose and outcomes

description: Study aimed to determine blood glucose distribution values; to assess the association of admission serum glucose levels with 28-day mortality to the frequency of invasive mechanical ventilation-free days, through retrospective cohort with population (n = 400) composed of patients admitted to the pediatric intensive care unit of Santa Casa de Misericórdia do Pará Foundation, Brazil Amazon region, from January 2016 to December 2017. Exclusion criteria were patients with length of stay of &lt;24 hours; diabetes mellitus; suspicion or evidence of inborn errors of metabolism; insulin use; palliative care and brain death. The patients were divided into 4 groups: 1) serum glucose &lt;60mg/dL; 2) control group if serum glucose between 60-126 mg/dL; 3) between 127-150mg/dL; or 4) if &gt; 150mg/dL. Results showed hyperglycemia group had a lower frequency of ventilation-free days and higher 28-day mortality.
DOI: 10.17632/h3cgnj8hft.1
title: Phishing Dataset for Machine Learning: Feature Evaluation

description: This dataset contains 48 features extracted from 5000 phishing webpages and 5000 legitimate webpages, which were downloaded from January to May 2015 and from May to June 2017. An improved feature extraction technique is employed by leveraging the browser automation framework (i.e., Selenium WebDriver), which is more precise and robust compared to parsing approach based on regular expressions. This dataset is WEKA-ready. Phishing webpage source: PhishTank, OpenPhish Legitimate webpage source: Alexa, Common Crawl Anti-phishing researchers and experts may find this dataset useful for phishing features analysis, conducting rapid proof of concept experiments or benchmarking phishing classification models.
DOI: 10.17632/stdf3z6p2f.2
title: The three-dimensional wake of a circular cylinder at Re=280, Lz=1.66.

description: See details of this dataset in Abadia-Heredia et al., 'A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures', Exp. Syst. Appl., 2021. The database contains 350 snapshots, equi-distant in time 1 time unit. The first snapshot of this database is collected at time 100. The database have been generated by José M. Pérez. See details in: Le Clainche, Pérez, Vega, 'Spatio-temporal flow structures in the three-dimensional wake of a circular cylinder', Fluid Dyn. Res., 50, 051406, 2018.
DOI: 10.17632/bdd69gyhv8.1
title: Fresh and Rotten Fruits Dataset for Machine-Based Evaluation of Fruit Quality

description: (1) Everyone is interested to get fresh and quality fruits. As fruits are going to be rotten after
the passing of time. Hence, fruit quality has substantial economic consequences. It is estimated that
roughly one-third of the fruits are rotten causing huge financial loss. Furthermore, the sale of fruits
will be impacted because consumers believe that spoiled fruits are harmful to their health.
Classification of fresh and rotten fruits is usually carried out by people, which is ineffective for fruit
farmers, sellers as well as fruit processing industries.
(2) In the recent era, computer vision techniques are very promising in performing such types of
classification and detection tasks.
(3) With a view to developing computer vision-based algorithms, an extensive fruit dataset is
presented containing sixteen types of fruit classes, namely fresh apple, rotten apple, fresh
banana, rotten banana, fresh orange, rotten orange, fresh grape, rotten grape, fresh guava, rotten
guava, fresh jujube, rotten jujube, fresh pomegranate, rotten pomegranate, fresh strawberry and
rotten strawberry. Fresh and rotten classifications are done with the help of a domain expert from
an agricultural institute.
(4) A total of 3200 images of fresh and rotten fruits are collected from different fruit shops and real
fields. Then from these original images, a total of 12335 augmented images are produced by using
rotation, flipping, zooming, and shearing techniques to increase the data number.
DOI: 10.17632/w5zt9n6vsc.3
title: Dataset of Computer Science Course Queries from Students: Categorized and Scored According to Bloom's Taxonomy

description: This dataset consists of 4 .csv files - 
1. Data_Structure.csv 
2. Introduction_to_Computers_and_Research.csv 
3. Irrelevant_Questions.csv.
4. Blooms_Taxonomy.csv

The first 3 files consists of questions asked by students of Independent University, Bangladesh on the Summer 2023 Semester in Computer Science Courses. The last file contains the Bloom's Taxonomy keywords that were used for the question evaluation.

This dataset was created to highlight the usage of AI in educational context. It particularly focuses on questions as our goal was to revive the innate curiosity of students to learn through querying. Computer science (CS) courses have been particularly focused as we found higher dropout rates in CS courses compared to others. 

The questions in this dataset have been manually pre-processed and categorized according to their course and topics. They have also been scored using Bloom's taxonomy's six levels of questions [remember (10 points), understand (20 points), apply (20points), analyze (25 points), evaluate (35 points), create (40 points)]. Any question above 100 points is considered a high level question and the maximum attainable score for a single question is 150 points.

File-1 consists of the scored and categorized questions from the "Data Structure" course.
File-2 consists of the scored and categorized questions from the "Introduction to Computers and Research" course.
File-3 consists of the irrelevant questions which do not belong to the courses above but were asked by the students from those courses.
File-4 consists of the keywords of Bloom's Taxonomy used to evaluate the questions in this dataset.
DOI: 10.17632/mcncpk97ys.1
title: Data on Land Tenure and Food Security

description: This dataset presents data collected from the household survey in Northern Nigeria to examine land tenure and property rights among smallholder rice farmers and the influence it has on household food security. Data collection was by personal interviews of adult members of the farmers’ households, focusing on the households’ socio-economics, United States Department of Agriculture’- 18 Household Food Security questions for households, land titling status, and land tenure type on farmland cultivated during the 2016/17 farming season.
DOI: 10.17632/xf69v9662s.1
title: Bank Heterogeneity and Financial Stability

description: This is the replication package of the paper “Bank heterogeneity and financial stability” by Itay Goldstein, Alexandr Kopytov, Lin Shen, and Haotian Xiang.
DOI: 10.17632/gz3hztwm5p.1
title: Figure Plagiarism Detection

description: Figure plagiarism detection corpus. The corpus consists of three sets: 1-Shape-based features 2- Textual reference based features 3- Hybrid of shape based and textual reference based The corpus is capable of integrating plagiarism detection schemes by utilizing both the figures and their related text, both inside and outside the figure. The corpus will help out the research community to detect the plagiarism in the figures copied from different sources illegally. This will help the researchers to remain the sole proprietary of their contributions, i.e., figures makers.
DOI: 10.17632/7xwsksdpy3.1
title: iris-csv

description: Iris dataset from open source.
DOI: 10.17632/n99dryms76.3
title: Incoming Load data in Malaysia

description: Title of related paper: SHORT TERM FORECASTING THE ELECTRICAL CONSUMPTION BY USING NEURAL NETWORK: JOINT APPROXIMATE DIAGONAL EIGENVALUE The data is taken from incoming data from utility provider in Malaysia Suggested citation: Please reference the associated publication above when using this datasets/or any papers below: [1] M. Mohd Hussain, Z. H. Zakaria, and S. Serwan, “Voltage estimation using ICA on distribution system,” 2013, doi: 10.1109/PEOCO.2013.6564555. [2] M. M. Hussain, Z. H. Zakaria, and S. Serwan, “FastICA techniques for load profiles estimation,” in ISIEA 2012 - 2012 IEEE Symposium on Industrial Electronics and Applications, 2012, pp. 161–166, doi: 10.1109/ISIEA.2012.6496620. [3] M. M. Hussain et al., “Prediction of time series based on load profile using JADE technique,” 2017 IEEE 8th Control Syst. Grad. Res. Colloquium, ICSGRC 2017 - Proc., no. August, pp. 33–36, 2017, doi: 10.1109/ICSGRC.2017.8070563. [4] M. M. Hussain, “POWER LOSS ESTIMATION DUE TO DIFFERENCE TRANSFORMER TAP OWER LOSS ESTIMATION DUE TO DIFFERENCE TRANSFORMER TAP CHANGER POSITION AT INTERFACE,” J. Fundam. Appl. Sci., vol. 4, no. 1, pp. 685–696, 2017. [5] M. M. Hussain, S. Serwan, and Z. H. Zakaria, “Nodal Load Profiles Estimation for Time Series Load Flow Using Independent Component Analysis,” 2012, pp. 1050–1055. Contact information: Mashitah Mohd Hussain, Universiti Teknologi MARA, Malaysia, mashitah1116@gmail.com or mashitah1116@uitm.edu.mhy
DOI: 10.17632/y9zmv5v628.1
title: The precision Monte Carlo event generator KK for two-fermion final states in e+e− collisions

description: Abstract We present the Monte Carlo event generator KK version 4.13 for precision predictions of the Electroweak Standard Model for the process e^+ e^-→ f f̄ + ny, f = μ, τ, d, u, s, c, b, at centre-of-mass energies from τ lepton threshold to 1 TeV, that is for LEP, SLC, future Linear Colliders, b, c, τ-factories, etc. Effects due to photon emission from initial beams and outgoing fermions are calculated in QED up to second order, including all interference effects, within Coherent Exclusive Exponen... Title of program: KK version 4.12 Catalogue Id: ADMD_v1_0 Nature of problem The fermion pair production is and will be used as an important data point for precise tests of the standard electroweak theory at LEP and future linear colliders at higher energies. QED corrections to fermion pair production (especially tau leptons) at c-quark and b-quark factories has to be known to second order, including spin polarization effects. The Standard Model predictions at the per mille precision level, taking into account multiple emission of photons for realistic experimental accep ... Versions of this program held in the CPC repository in Mendeley Data ADMD_v1_0; KK version 4.12; 10.1016/S0010-4655(00)00048-5 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/wt9hz37d7y.1
title: Hydroxyl Radical, Singlet Oxygen, and Oxidized Product Formation in Photoaged Quinones and Combustion-derived Particles

description: Data sets used for the study 'The Photochemistry of Quinones and Combustion-derived Particles in Forming Hydroxyl Radicals and Singlet Oxygen in the Atmosphere' by Desiree J. Sarmiento and Dr. Brian J. Majestic from the University of Denver in Denver, Colorado, USA. These sets include HPLC data for determining hydroxyl radical and singlet oxygen concentrations observed from the photoaging of combustion-derived particles (CDPs), quinones, and anthracene in the aqueous phase; HPLC data for the product formation in photoaged 1,4-naphthoquinone (1,4-NAPQ) and photoaged juglone; and GC-MS data of photoaged 1,4-anthraquinone (1,4-ANTQ) and 1,4-NAPQ samples. The CDP samples investigated in this work are hexane CDPs (hx-CDP), ethanol-hx-CDPs (EtOH-hx-CDPs), and iron pentacarbonyl-hx-CDPs (Fe(CO)5-hx-CDPs). The hydroxyl radical concentration per particle mass and the singlet oxygen concentration per particle (See Steps to reproduce) were plotted over the photolysis time to visualize the formation behavior of these species over the course of the photoaging of CDPs, quinones, and anthracene. Files of the MATLAB Curve Fitter results that describe these plots are also provided. All the data obtained support my hypothesis that in sunlit, cloud-water environments, polycyclic aromatic hydrocarbons (PAHs), which are byproducts from incomplete combustion, can oxidize into photosensitizers (light-absorbing compounds that undergo excitation to the singlet and triplet states). These photosensitizers can then partake in radical reactions to form singlet oxygen and catalyze hydroxyl radicals, which result in excess reactive oxygen species (ROS) in the atmosphere.
DOI: 10.15468/dl.rsuyj7
title: Occurrence Download

description: A dataset containing 5810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus edulis Engelm.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 5810 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009213-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8knm2zvkyc.1
title: Shifting Trends and Persistent Challenges in Heart Disease Over the Last 25 Years

description: Heart disease remains one of the leading causes of mortality worldwide. Accurate prediction of effective treatment outcomes can significantly improve patient care and reduce healthcare costs. This document outlines a comprehensive approach to developing a heart disease treatment prediction model using machine learning techniques.


Objectives
Develop a predictive model to forecast treatment outcomes for heart disease patients.
Identify key factors influencing treatment success.
Improve personalized treatment plans based on predictive insights.
DOI: 10.17632/phk6dg6xb6.1
title: Base de dados: uma análise no campo da educação militarizada: o que dizem as pesquisas?

description: Os dados derivados de uma Revisão Sistemática da literatura destacam os aspectos centrais relacionados ao tema "Escolas Militarizadas/Escolas Cívico-Militares". Foram estabelecidas oito categorias interpretativas, das quais seis criticam o modelo em questão, enquanto uma ressalta aspectos positivos e uma destaca a ausência da educação militarizada nas pesquisas científicas. Particularmente notáveis são as críticas dirigidas ao modelo de militarização das escolas, especialmente as indicações de que essa política pública não está em conformidade com a Constituição Federal de 1998, o que ajuda a entender melhor esse tópico. Adicionalmente, os dados ressaltam os autores mais mencionados nos trabalhos selecionados, bem como os procedimentos metodológicos empregados.
DOI: 10.17632/hcywkb84gk.1
title: Supplemental Materials: Understanding potential opportunities and risks associated with feeding supplemental rumen available fats to mitigate enteric methane emissions in lactating dairy cows

description: Supplemental Materials: Understanding potential opportunities and risks associated with feeding supplemental rumen available fats to mitigate enteric methane emissions in lactating dairy cows
DOI: 10.17632/7fz5rkz6bw.1
title: Acceptance and Use of ChatGPT Among College Students: A Dataset from Select Higher Education Institutions in Luzon, Visayas, and Mindanao

description: This study, anchored in the Unified Theory of Acceptance and Utilization of Technology 2 (UTAUT2), investigates the determinants of the acceptance and use of ChatGPT among college students from select Philippine Higher Education Institutions in Luzon, Visayas, and Mindanao. Using a comprehensive online survey, 2,254 responses from 95 institutions were collected from July 22 to October 29, 2023. Analyzing the data with WarpPLS 8.0, the study determines factors such as Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, and demographic variables. Rigorous data cleansing yielded 1,242 valid responses. The data were intended to be analyzed using the PLS SEM approach to reveal direct effects and also the moderating roles of age, gender, and experience. This research contributes a valuable dataset, shedding light on AI-enabled chatbot adoption in higher education, with implications for global comparative analyses in similar contexts.
DOI: 10.17632/xdydw7j3xf.1
title: Dataset from reservoir simulation of underground hydrogen storage in the Johansen formation

description: Numerical dataset from our manuscript “Effect of relative permeability hysteresis on reservoir simulation of underground hydrogen storage in an offshore aquifer”, published in the Journal of Energy Storage: https://doi.org/10.1016/j.est.2023.107229

The dataset includes a zip-archive with the Eclipse E100 datafiles (*.DATA) of the Johansen formation model and the include-files (*.INC) with the simulation grid, porosity and permeability data, and relative permeability and PVT. The simulation grid together with porosity and permeability was taken from the Johansen formation dataset, available at https://co2datashare.org/dataset/the-johansen-dataset.   

Datafiles are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/ The authors hold copyright to all contents.
DOI: 10.17632/xs863tprtf.1
title: Geochronological and isotopic geochemical data for the Late Cretaseous molasse deposits in northern Tibet

description: Table S1. Summary of age data for the interbedded volcanic rocks in the molasse deposits of northern Tibet. Table S2. Zircon LA–ICP–MS U–Pb isotopic analyses of interbedded volcanic rocks in molasse deposits. Table S3. Zircon LA–ICP–MS U-Pb isotopic analyses of sandstones in molasse deposits. Table S4. Zircon Lu–Hf isotopic data of interbedded volcanic rocks. Table S5. Major (wt.%) and trace element (ppm) compositions of interbedded volcanic rocks. Table S6. Whole-rock Sr–Nd isotopic compositions of interbedded volcanic rocks.
DOI: 10.17632/s52vt8spmc.1
title: Cysteine cross-linking in native membranes establishes the transmembrane architecture of Ire1

description: We used cysteine crosslinking to characterize the configuration of the transmembrane region of the unfolded protein response (UPR) transducer Ire1 from baker's yeast during different forms of stress. We find that different forms of ER stress converge in a single configuration of Ire1. The functionality of the individual single-cysteine variants of Ire1 was characterized by microscopy, cell-based ER stress resistance assays, and qPCR to characterize the degree of HAC1 mRNA splicing and the induction of UPR target gens..
DOI: 10.17632/nnp3d5skd5.1
title: Treatment of early-stage mycosis fungoides with oral bexarotene and phototherapy. A systematic review and meta-analysis.

description: We performed a systematic review of the literature following the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines to identify patients with early-stage MF that have been treated with bexarotene and phototherapy (Supplemement 1). A comprehensive literature search was conducted utilizing Embase, Pubmed, Web of Science, and the Cochrane Library since inception. References from articles were also used to identify other studies that fit our criteria (Supplement 2). Risk-of-bias assessments were completed by independent reviewers (Supplement 3). The Cochrane Risk of Bias Assessment Tool was used to assess randomized control trials (RCTs).
DOI: 10.17632/xn4pj3rt7b.1
title: A Wearable Open-Source Electrical Impedance Tomography Device

description: Design files for a wearable open-source electrical impedance tomography device.
DOI: 10.17632/jfjbvnr6fw.1
title: (U-Th)/He & 26Al/10Be geochronology data and MATLAB code for 26Al/10Be min-max age calculations

description: The .xlsx file in this dataset provides raw data used for (U-Th)/He and 26Al/10Be age calculations in Odom et al. (2020). The accompanying .zip file includes MATLAB code for calculating minimum-maximum burial age likelihood functions using 26Al/10Be data, as well as a guide for use.
DOI: 10.17632/j7ypmvfnvt.1
title: data manuscript Cellobiose and xylose co-utilizing P. putida

description: This data summarizes mostly growth experiments conducted with Pseudomonas putida EM42 recombinants engineered for growth on cellobiose and xylose and for co-utilization of xylose with glucose or cellobiose. Data on enzyme activity measurements, determination of intracellular ATP levels, determination of growth parameters, and expression of recombinant genes are also included.
DOI: 10.17632/b8tc96xf3h.1
title: Common Swahili Slangs

description: Lists of Swahili Slangs with their respective proper words are lowercased and comma separated. Slangs will be replaced by its respective proper word so as to maintain consistence during vectorization to form vectors that are used in training Machine Learning algorithms .