cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hb74ynkjcn.4
title: A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology

description: The relationship between the plants and the environment is multitudinous and complex. They help in nourishing the atmosphere with diverse elements. Plants are also a substantial element in regulating carbon emission and climate change. But in the past, we have destroyed them without hesitation. For the reason that not only we have lost a number of species located in them, but also a severe result has also been encountered in the form of climate change. However, if we choose to give them time and space, plants have an astonishing ability to recover and re-cloth the earth with varied plant and species that we have, so recently, stormed. Therefore, a contribution has been made in this work towards the study of plant leaf for their identification, detection, disease diagnosis, etc. Twelve economically and environmentally beneficial plants named as Mango, Arjun, Alstonia Scholaris, Guava, Bael, Jamun, Jatropha, Pongamia Pinnata, Basil, Pomegranate, Lemon, and Chinar have been selected for this purpose. Leaf images of these plants in healthy and diseased condition have been acquired and alienated among two separate modules. Principally, the complete set of images have been classified among two classes i.e. healthy and diseased. First, the acquired images are classified and labeled conferring to the plants. The plants were named ranging from P0 to P11. Then the entire dataset has been divided among 22 subject categories ranging from 0000 to 0022. The classes labeled with 0000 to 0011 were marked as a healthy class and ranging from 0012 to 0022 were labeled diseased class. We have collected about 4503 images of which contains 2278 images of healthy leaf and 2225 images of the diseased leaf. All the leaf images were collected from the Shri Mata Vaishno Devi University, Katra. This process has been carried out form the month of March to May in the year 2019. The images are captured in a closed environment. This acquisition process was completely wi-fi enabled. All the images are captured using a Nikon D5300 camera inbuilt with performance timing for shooting JPEG in single shot mode (seconds/frame, max resolution) = 0.58 and for RAW+JPEG = 0.63. The images were in .jpg format captured with 18-55mm lens with sRGB color representation, 24-bit depth, 2 resolution unit, 1000-ISO, and no flash. Further, we hope that this study can be beneficial for researchers and academicians in developing methods for plant identification, plant classification, plant growth monitoring, leave disease diagnosis, etc. Finally, the anticipated impression is towards a better understanding of the plants to be planted and their suitable management.
DOI: 10.17632/hy56kxs4bt.1
title: Mortality in Russia by cause of death in 2018 (absolute numbers)

description: Data Set from the Russian Federation Federal State Statistics Service - Росстат. Collected, translated into English language and published. Mortality in Russia by cause of death in 2018 (absolute numbers). Causes of death statistics are obtained from the inscriptions in medical death certificates filled in by a physician referring to disease, accident, homicide, suicide or any other external factor (injuries due to actions envisaged by the law, non-specified injuries, injuries caused by military actions) which led directly to death. Such inscriptions are used as a reason for classifying death causes in civil registration records of deaths. Some of the presented causes of death: Cause of death, Cholera, Typhoid fever, Paratyphoid, Salmonella infections, Shigellosis, Food poisoning, Intestinal infections, Tuberculosis, Plague, Anthrax, Brucellosis, Leprosy, Tetanus, Diphtheria, Whooping cough Scarlet fever, Meningococcal infection, Sepsis, Erysipelas, Other bacterial infections, Syphilis, Sexually transmitted infections, Typhus, Poliomyelitis, Rabies, Viral encephalitis, Measles, Hepatitis A, Human Immunodeficiency Virus (HIV) Disease, Other diseases caused by viruses, Malaria, Leishmaniasis, Trypanosomiasis, Schistosomiasis, Malignant, Leukemia, Neoplasms, Diabetes, Diseases of the endocrine system, eating disorders and metabolic disorders, Mental disorders, Parkinson's disease, Alzheimer's disease, Multiple sclerosis, Hypertension, myocardial infarction, Myocardial infarction, Stroke, Urolithiasis, Birth injury, Intrauterine hypoxia and asphyxia in childbirth, Suicides, Murder, Firearm Accident, Other accidents, Causes of death due to alcohol, Drug-related causes of death, All types of transport accidents And many more causes of death.
DOI: 10.17632/s9mn5xg4wj.1
title: Data for: Rapid Yield Predictions in Paddy Fields Based on 2D Image Modelling of Rice Panicles

description: The data here are panicle weights and the images of rice panicles of different rice cultivars. It includes grain number, filled grain number, seed setting rate, panicle weight, filled grain weight and 1200 2D color images of rice panicles. The panicles in this study were sampled from Sihong city, Jiangsu Province, in 2017. Then their weight parameters were measured. And the images of rice panicles were scanned to obtain grain area. The weight and area data could be used for exploring the rapid yield estimation models and also would provide good materials for crop phenotype research.
DOI: 10.17632/8tx7kjbkg4.2
title: BugHunter Dataset

description: Bugs are inescapable during software development due to frequent code changes, tight deadlines, etc., therefore, it is important to have tools to find these errors. One way of performing bug identification is to analyze the characteristics of buggy source code elements from the past and predict the present ones based on the same characteristics, using e.g. machine learning models. To support model building tasks, code elements and their characteristics are collected in so-called bug datasets which serve as the input for learning. We present the BugHunter Dataset: a novel kind of automatically constructed and freely available bug dataset containing code elements (files, classes, methods) with a wide set of code metrics and bug information. Other available bug datasets follow the traditional approach of gathering the characteristics of all source code elements (buggy and non-buggy) at only one or more pre-selected release versions of the code. Our approach, on the other hand, captures the buggy and the fixed states of the same source code elements from the narrowest timeframe we can identify for a bug's presence, regardless of release versions. To show the usefulness of the new dataset, we built and evaluated bug prediction models and achieved F-measure values over 0.74.
DOI: 10.17632/mhrt4svjxc.1
title: Breast Thermography

description: It is image termography dataset of female torax zone as scientific contribution in breast cancer thermography research area. Dataset was acquired inside a medical office with dimensions W:3.20m x L:4.14m x H:2.40m, without artificial illumination at a temperature 22 - 24°C and relative humidity 45 - 50%. A FLIR A300 camera was used to capture the images at a working distance of 1m from the patient. The American Academy of Thermology (AAT) protocol was used to prepare the patient and capture. Three images were taken of each patient in the female thorax area: anterior, left oblique and right oblique positions. The patients ranged in age from 18-81 years with different pathologies related to the female breast. The images were captured between 2021 and 2022.
DOI: 10.17632/w925jygjct.2
title: Data For: The Pickup and Delivery Problem with Transshipments

description: Data for the pickup and delivery problem with transshipment with/without time windows. The PDP-T instances are generated randomly. The PDPTW-T instances are generated from Sampaio, Savelsbergh, Veelenturf, & Van Woensel (2020): https://data.mendeley.com/datasets/pywzcgyzrv/2.
DOI: 10.17632/67mhx6hhzd.1
title: Arabic Fake News Dataset (AFND)

description: Arabic Fake News Dataset (AFND) is a collection of public Arabic news articles that were collected from public Arabic news websites. It contains 606912 news articles collected from 134 different public Arabic news websites. Misbar, which is a public Arabic news fact check platform, is used to classify the articles into credible, not credible, and undecided.


The file named "sources.json" contains 134 lines which corresponds to 134 public Arabic news websites. The Uniform Resource Locator (url) of the public Arabic news websites are replaced with "source_1", "source_2", "source_3", etc. to guarantee the anonymity of these websites.


The scraped public Arabic articles are stored in 134 sub-directories within the directory named "Dataset". Each sub-directory is named according to the anonymous names (e.g. "source_1") of the 134 news sources. Each sub-directory has a file named "scraped_articles.json" which contains the information of the articles that were scraped from the public news source and stored as an array of JSON objects. Each object stores the title, text, and the publication date of the article.
DOI: 10.17632/fgtk4jrfhh.1
title: Green Computing Dataset (1979-2020)

description: The Green Computing research & publication dataset, which was indexed by Scopus from 1979 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/4gt974j755.1
title: Late Holocene monsoon precipitation changes in southern China and their linkage to Northern Hemisphere temperature

description: Here we present a reconstruction of a ~5 year-resolution summer monsoon rainfall record for the past 3200 years, based on 622 pairs of δ18O and δ13C and 29 230Th dates from a stalagmite (Wu37) from Wulu Cave in southern China. The monsoon precipitation variations indicated by our record and other cave records nearby were inversely related to changes in Northern Hemisphere temperature over the past two millennia, in particular to variations in the thermal gradient between the Northern and Southern hemispheres. In addition, we find that variations of monsoon rainfall in southern China on multi-centennial to centennial timescales are inversely correlated with observed rainfall in the core monsoon region of India and in the northern fringe of the Asian summer monsoon region in China. This spatial pattern of rainfall variability can be interpreted as a result of the migration of the intertropical convergence zone that is likely dominated by the interhemispheric thermal gradient via cross-equatorial airflows.
DOI: 10.17632/dxds65xr3z.1
title: Data for: Autistic Traits in Individuals Self-defining as Transgender or Non-binary

description: Data set investigating ASD traits in transgender and nonbinary individuals
DOI: 10.17632/kjgrmbnt5h.3
title: tsdatasets

description: Compilation of open access daily time-series datasets for studying temperature-mortality association and other environmental stressors
DOI: 10.17632/msxs4vj48g.1
title: University of Ottawa Electric Motor Dataset – Vibration and Acoustic Faults under Constant and Variable Speed Conditions (UOEMD-VAFCVS)

description: The dataset consists of constant and variable speed data collected from 8 different D396 Marathon Electric 3-phase motors. Each motor has different types of faults artificially created by SpectraQuest. Data is collected using three accelerometers and a microphone (the first, third and fourth columns are accelerometer data, the second column is acoustic data, and the fifth column is temperature data).
The labelling of data is as follows {Letter}-{Letter}-{Number}-{Number}:

The following values represent the possibilities for the first letter:
- H indicates healthy
- R indicates rotor
- S indicates stator
- V indicates voltage
- B indicates bowed
- K indicates broken
- F indicates faulty

The second letter is represented by the following possible values:
- H indicates healthy
- U indicates unbalance
- M indicates misalignment
- W indicates winding
- R indicates rotor
- A indicates rotor bars
- B indicates bearing

The combination of both letters indicates the health state of the motor present in the data sample (e.g. H-H = a healthy motor, S-W = a stator winding fault).

The first number represents:
- 1 is for a constant speed of 15 Hz
- 2 is for a constant speed of 30 Hz
- 3 is for a constant speed of 45 Hz
- 4 is for a constant speed of 60 Hz
- 5 is for an increasing speed from 15 Hz to 45 Hz
- 6 is for an increasing speed from 30 Hz to 60 Hz
- 7 is for a decreasing speed from 45 Hz to 15 Hz
- 8 is for a decreasing speed from 60 Hz to 30 Hz

The second number represents:
- 0 for a no load condition
- 1 for a loaded condition

The duration of data collection was 10 seconds at a sampling frequency of 42 kHz. Each file contains 420,000 samples.
Raw data is provided in the folders as comma separated values files (.csv) and MATLAB files (.mat).
DOI: 10.17632/ddt338rh9n.1
title: University students’ scores for the subject of electrical engineering in 2013-2019

description: The database was created to store food engineering bachelor (BSc) students’ scores in the subject of electrical engineering. Data were collected in the years of 2013 – 2019.

Students could freely choose one group to participate practicals. Groups were offered on Thursday (08 – 10 h, 10 – 12 h, 12 – 14 h, 14 – 16 h, 16 – 18 h) and Friday (08 – 10 h, 10 – 12 h) with maximum capacity of 25 students per group. Semester activity was awarded with bonus points, what was added to the summary points of the written test during calculation of the grade. Students had optional written test, which could result an offered grade without oral exam. The test was not mandatory, students missing the test participated the standard exam procedure. All written tests included calculations and questions were composed with combination of the sitting position. Students had to substitute their row and column position into the questions, such as “resistance R1 = {ROW} + 10 Ω”. Tests were solely composed of calculations until 2016. After that, in the years 2017 – 2019, theory questions were also prepared as free choice test. For those written tests, theory and calculations contributed to the summary with 30% and 70%, respectively.

The database is provided as Microsoft® Excel™ XML format (XLSX) and SQLite 3 database. Database indexes were created for faster search on potential grouping parameters and students’ position (row and column) during written test. Data is structured into fields as:
- Year in the range of 2013 – 2019
- Text field to distinguish student groups within a year
- Text field with the name of the day (Thursday, Friday)
- Start time of the group: 8 h, 10 h, 12 h, 14 h, 16 h
- Text field indicating gender based on given name
- Student’s row position in the room during written test
- Student’s column position in the room during written test
- Practical test result in the range 1 – 5
- Bonus points collected during the year
- Theory points relative to the possible maximum
- Calculation points relative to the possible maximum
- Summary test points relative to the possible maximum 

See description file (PDF) for more information about database format and how to import data into R.
DOI: 10.17632/5nwh6jwb46.2
title: Data for: "Trade Credit and the Stability of Supply Chains"

description: Replication package for: "Trade Credit and the Stability of Supply Chains"

Changes in V2: 

Based on data editor comments, we are adding 
1. Information about the hardware and computational time for the analyses to the readme file
2. Code "set varabbrev on" to the do file
DOI: 10.17632/skk2wn9j86.1
title: User Story NeoDataset

description: This dataset includes User Story (or Issue) text descriptions, User Story titles, and Story Points from 33 software development projects, comprising a total of 20,479 User Stories (or issues) extracted from GitLab repositories, amounting to 12,262.7 Story Points. The mining process focused on GitLab’s top open-source projects that use agile software development methodologies and record task sizes in Story Points. Only tasks with the **State** attribute set to **Closed** and with the **Weight** attribute filled in were collected. The **Weight** field in GitLab is used to record the effort in Story Points. The data was mined between January 2023 and April 2023. The projects in the dataset have diverse characteristics, covering different programming languages, business domains, and geographic locations of the teams.

The paper below describe shortly this dataset in **section 4.1 Dataset** 
Citation Suggestion
Neo, G. S.; Moura, J.; Almeida, H.; Neo, A. and Freitas Júnior, O. (2024). User Story Tutor (UST) to Support Agile Software Developers. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-697-2; ISSN 2184-5026, SciTePress, pages 51-62. DOI: 10.5220/0012619200003693
DOI: 10.17632/zv68d6zgk9.1
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 Markov Chain Analysis
DOI: 10.17632/jvbnwp35rm.1
title: Moshinsky brackets for a wide range of quantum numbers using generating functions

description: We used a new Python code to reproduce the brackets for the Moshinsky harmonic oscillator, which was based on the generating function. We made these brackets by transforming the wave functions of two groups of coupled particle harmonic oscillators, $\Phi_{n_1l_1,n_2l_2,\Lambda}^{m_1,m_2,\lambda}\left(\vec{r}_1,\vec{r}_2\right)$ and $\Phi_{n_al_a,n_bl_b,\Lambda}^{m_a,m_b,\lambda}\left(\vec{r}_a,\vec{r}_b\right)$. To convert between the supplied position and momentum coordinates in both frames, we performed orthogonal transformations on nuclei with both low and high angular momentum.
In our derivation, we have used the expansion of the generating functions $e^{2\vec{p}.\vec{r}-p^2}$ and $e^{2cp_i.p_j}$ in spherical coordinates in terms of harmonic oscillator wave functions. When we modified the Moshinsky brackets for two-coupled oscillator states, we used generating functions with two variables. The number of indices has significantly decreased compared to the oscillator brackets in previous references; this reduction in the program code's iterative process has yielded influential results. Compared to the previous version of the Moshinsky brackets code, the new Python code is easier to use. Our approach utilizes this code to assess Moshinsky brackets across a broad spectrum of quantum numbers. According to the revelation, adding more variables to the generating function makes the number of Moshinsky brackets that work for the higher body interactions increase.
DOI: 10.17632/zh58byr53c.1
title: Full factorial design of experiments dataset for parallel-connected lithium-ion cells imbalanced performance investigation

description: This work includes an experimental dataset of lithium-ion battery parallel-connected modules. The campaign, conducted at the Stanford Energy Control Laboratory, employs a comprehensive full factorial Design of Experiment methodology on ladder-configured parallel strings. A total of 54 test conditions were investigated under various operating temperatures, cell-to-cell interconnection resistance, cell chemistry, and aging levels. The module-level testing procedure involved fixed Constant Current Constant Voltage (CC-CV) charging and Constant Current (CC) discharge. Beyond monitoring total module current and voltage, Hall sensors and thermocouples were employed to measure the signals from each individual cell to quantify both current and temperature distribution within each tested module configuration. Additionally, the dataset contains cell characterization data for every cell (i.e. NCA Samsung INR21700-50E and NMC LG-Chem INR21700-M50T) used in the module-level experiments. This dataset provides valuable resources for developing battery physics-based, empirical, and data-driven models at single cell and module level, ultimately contributing to a deeper understanding of how cell-to-cell variations propagate from the individual cell level to define the performance of the complete system.
DOI: 10.17632/d3ywbv98y3.1
title: C programs for solving the time-dependent Gross–Pitaevskii equation in a fully anisotropic trap

description: Abstract We present C programming language versions of earlier published Fortran programs (Muruganandam and Adhikari (2009) [1]) for calculating both stationary and non-stationary solutions of the time-dependent Gross–Pitaevskii (GP) equation. The GP equation describes the properties of dilute Bose–Einstein condensates at ultra-cold temperatures. C versions of programs use the same algorithms as the Fortran ones, involving real- and imaginary-time propagation based on a split-step Crank–Nicolson metho... Title of program: GP-SCL package, consisting of: (i) imagtime1d, (ii) imagtime2d, (iii) imagtime2d-th, (iv) imagtimecir, (v) imagtime3d, (vi) imagtime3d-th, (vii) imagtimeaxial, (viii) imagtimeaxial-th, (ix) imagtimesph, (x) realtime1d, (xi) realtime2d, (xii) realtime2d-th, (xiii) realtimecir, (xiv) realtime3d, (xv) realtime3d-th, (xvi) realtimeaxial, (xvii) realtimeaxial-th, (xviii) realtimesph Catalogue Id: AEDU_v2_0 Nature of problem These programs are designed to solve the time-dependent Gross-Pitaevskii (GP) nonlinear partial differential equation in one-, two- or three-space dimensions with a harmonic, circularly-symmetric, spherically- symmetric, axially-symmetric or fully anisotropic trap. The GP equation describes the properties of a dilute trapped Bose-Einstein condensate. Versions of this program held in the CPC repository in Mendeley Data AEDU_v1_0; (i) imagetime1d, (ii) imagetime2d, (iii) imagetime3d, (iv) imagetimecir, (v) imagetimesph, (vi) imagetimeaxial, (vii) realtime1d, (viii) realtime2d, (ix) realtime3d, (x) realtimecir, (xi) realtimesph, (xii) realtimeaxial; 10.1016/j.cpc.2009.04.015 AEDU_v2_0; GP-SCL package, consisting of: (i) imagtime1d, (ii) imagtime2d, (iii) imagtime2d-th, (iv) imagtimecir, (v) imagtime3d, (vi) imagtime3d-th, (vii) imagtimeaxial, (viii) imagtimeaxial-th, (ix) imagtimesph, (x) realtime1d, (xi) realtime2d, (xii) realtime2d-th, (xiii) realtimecir, (xiv) realtime3d, (xv) realtime3d-th, (xvi) realtimeaxial, (xvii) realtimeaxial-th, (xviii) realtimesph; 10.1016/j.cpc.2012.03.022 AEDU_v3_0; GP-SCL-HYB package, consisting of: (i) imagtime3d-hyb, (ii) realtime3d-hyb.; 10.1016/j.cpc.2015.12.006 AEDU_v4_0; BEC-GP-OMP package, consisting of: (i) imag1d, (ii) imag2d, (iii) imag3d, (iv) imagaxi, (v) imagcir, (vi) imagsph, (vii) real1d, (viii) real2d, (ix) real3d, (x) realaxi, (xi) realcir, (xii) realsph.; 10.1016/j.cpc.2016.03.015 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/5z2z9vm4nd.1
title: Supplemental material: Imaging methods and convolutional neural network (CNN) models

description: Imaging methods and convolutional neural network (CNN) models
DOI: 10.17632/74pcrhknp7.1
title: SUPPLEMENTARY MATERIALS:Advocating the use of Bayesian network in analyzing the modes of occurrence of elements in coal

description: This is the raw data for article "Advocating the use of Bayesian network in analyzing the modes of occurrence of elements in coal",  from Datanhao and Adaohai coals, Daqingshan Coalfield, Inner Mongolia, China.