cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ndxdx54xxx.1
title: Tuberculosis Dataset for Intelligent and Adaptive Medical Diagnostic System

description: Tuberculosis is a communicable chronic disease and one of the top ten causes of death worldwide according to World Health Organization (WHO).  With availability of clean and well encoded clinical data from tuberculosis patients, artificial intelligence and machine learning algorithms would be able to transform the management of tuberculosis patients through intelligent prediction and intervention. This dataset contains four hundred and thirty (430) clinical data from patients with tuberculosis at Tuberculosis and Leprosy Hospital, Eku, Delta State, Nigeria. The dataset was gathered through validated and structured questionnaire administered using random sampling after obtaining the patients' consent. The collated dataset was pre-processed and encoded with variables (features) for prediction which include cough, night sweat, breathing difficulty, fever, chest pain, sputum, immune suppression, loss of pleasure, chill, lack of concentration, irritation, loss of appetite, loss of energy, lymph node enlargement, systolic blood pressure and BMI. Prediction of tuberculosis based on the clinical data from patients' features would play an essential role in diagnosis, intervention and management of tuberculosis patient.
DOI: 10.17632/2nk727nkx7.1
title: Identification of Stable Genes in Arabidopsis thaliana for expression analysis experiment Normalization: A Bioinformatic Pipeline

description: We have developed a bioinformatic pipeline to identify the most stable genes in a collection of curated transcriptomic experiments for the model plant Arabidopsis thaliana. The pipeline consists of two parts. The first part is a mathematical algorithm that filters numerical conditions that a proper reference gene should meet, such as minimal expression, variation, and replicability among experiments. The second part integrates a biological filter that uses reference gene-associated biological processes as landmarks to select potential genes, thus avoiding genes with uncharacterized functions and volatile expression patterns resulting from shifting biological processes.
DOI: 10.17632/zcsj2g2m4c.4
title: Drone Dataset: Amateur Unmanned Air Vehicle Detection

description: This dataset is prepared for our 2019 year "Amateur Drone Detection and Tracking" project. There are more than 4000 amateur drone pictures in the dataset, which is usually trained with amateur (like dji phantom) drones. In addition, the dataset contains non-drone, drone-like "negative" objects. This dataset was used with Yolov2-tiny, Yolov3-voc versions. Generally suitable for working with Yolo architecture and darknet framework.
DOI: 10.17632/8bn4tprmkw.2
title: Constraint Programming-Based Solution Approaches for Three-Dimensional Loading Capacitated Vehicle Routing Problems

description: The 3L-CVRP which integrates the three-dimensional loading problem with the capacitated vehicle routing problem. To solve this np-hard problem, we formulated all constraints and objective functions in the context of constraint programming and developed five models: two integrated, two decomposed CP-based, and one decomposed hybrid model. The hybrid model uses a CP model for the routing part and a genetic algorithm for the loading part. First, we compared these models and a MIP model adapted from the literature by solving 24 small-size problems. The hybrid model (CP&EA) gave the highest performance based on the comparison results. Then, a computational study was conducted with Moura and Oliveira's (2009), Bortfeldt and Homberger's (2013)  and Gendreau et al. (2006)’s benchmark instances to test the hybrid model's performance in large-size problems. We improved the solution values for 36 of 93 problems and found better results on average than the existing approaches, considering the computational results on bigger problem instances. According to the computational results, Thus, it has been shown that the proposed CP&EA model can help solve the problems in distribution logistics.  The related benchmark instances and computational results has been attached the website.
DOI: 10.17632/v825npsc4b.1
title: Abscissae and weights for the Gauss-Laguerre quadrature formula

description: Abstract A program is described which calculates the abscissae and weights for the Gauss-Laguerre quadrature formula for integrals of the form ∫∈e^(-x)x^α f(x)dx very rapidly and with high accuracy even in the case of many abscissae. The abscissae are given by the zeros of the Laguerre polynomials, which are found by the Newton-Raphson method with suitable initial approximations. The program is useful for the problem in the case of an integrand f(x) oscillating rapidly. Title of program: GAUSSLA Catalogue Id: ABFJ_v1_0 Nature of problem In the study of physical problems, the need often arises for evaluating definite intergrals numerically. The Gaussian quadrature is known as one of the most efficient quadrature schemes. The present program generates the abscissae and weights for the Gauss-Laguerre quadrature formula for integrals very rapidly and with high accuracy even in the case of a great many abscissae. Versions of this program held in the CPC repository in Mendeley Data ABFJ_v1_0; GAUSSLA; 10.1016/0010-4655(88)90178-6 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/7t7fn6bzjr.1
title: Red cotton bug_Temperature based phenology model_Raw data

description: tHIS DATASET CONTAINS 
1. raw data on temperature-based life cycle of red cotton bug Dysdercus koenigii (Pyrhocoriade: Heteroptera) collected in laboratory at six different temperatures between 15-35 oC
2. Real time maximum and minimum temperature data for 30 years (1995-2022) for six different geographical locations of India (Hisar, Junagadh, Akola, Nagpur, Parbhani and Coimbatore) for simulations of pest risk
DOI: 10.17632/ntr7r59p79.1
title: Dataset: Air Quality Index (AQI) of Major Indian Cities and Stations 25/4/2024

description: The dataset contains air quality information for various cities across India. It includes parameters such as Air Quality Index (AQI), concentrations of particulate matter (PM2.5 and PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), as well as geographical coordinates and time stamps. This dataset enables analysis and comparison of air quality levels among different cities, aiding in understanding environmental health impacts and informing policy decisions.
DOI: 10.17632/8ndxtjcr3g.1
title: The Literature Intellectual Structure of System Dynamics on Waste (1973-2021)

description: The literature intellectual structure of system dynamics on waste research and publication dataset, which was indexed by Scopus from 1973 to 2021.
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: 10.17632/5krsjxjzgs.1
title: Oil Curse, Economic Growth and Trade Openness

description: The data file is in Stata and do file in word format for replication. A readme file is also attached.
DOI: 10.17632/jz7kv2trzj
title: Understanding Spatial Mapping for Visually Impaired Individuals

description: By understanding the strengths and limitations of different assistive devices, blind individuals can make informed choices to improve their independence and quality of life.
DOI: 10.17632/ndgdbkr4br.1
title: Real-world evidence of dupilumab efficacy and risk of adverse events: a systematic review and meta-analysis

description: Supplementary materials for the manuscript "Real-world evidence of dupilumab efficacy and risk of adverse events: a systematic review and meta-analysis".
DOI: 10.17632/p77jn92bzg.1
title: Multi-Channel Electromyography Signal Acquisition of Forearm

description: This data contains the surface electromyography (SEMG) signals of fifty healthy subjects performing ten different movements for both arms. The signals were recorded using a Myo Armband with a sampling frequency of 200Hz for each of its eight channels (skin surface electrodes). Each movement was performed five times every three seconds starting from the first second resulting in a sampling time of sixteen seconds. All the subjects performed the same movements in the same order (wrist in neutral, pronation, supination, wrist extension, wrist flexion, ulnar deviation, radial deviation, fine pinch, power grip, and hand open) however in the dataset these movements are represented as the following in the ninth column of the dataset, the tenth column represents the # of subject and the columns from first to eighth represents each channel. Movements List: 1 Wrist in Neutral for Right Hand 2 Wrist in Neutral for Left Hand 3 Pronation for Right Hand 4 Pronation for Left Hand 5 Supination for Right Hand 6 Supination for Left Hand 7 Wrist extension for Right Hand 8 Wrist extension for Left Hand 9 Wrist flexion for Right Hand 10 Wrist flexion for Left Hand 11 Ulnar deviation for Right Hand 12 Ulnar deviation for Left Hand 13 Radial deviation for Right Hand 14 Radial deviation for Left Hand 15 Fine pinch for Right Hand 16 Fine pinch for Left Hand 17 Power grip for Right Hand 18 Power grip for Left Hand 19 Han open for Right Hand 20 Hand open for Left Hand Prior the signal acquisition some information was compiled for each subject; this information is attached in the file subject_dataset.dat
DOI: 10.17632/3bkrwhk4p3.1
title: Leaf spectra of alder buckthorn, common hazel and European fly honeysuckle

description: This dataset includes laboratory spectral measurements on 54 leaves collected from European fly honeysuckle (Lonicera xylosteum L.), alder buckthorn (Frangula alnus Mill.) and common hazel (Corylus avellana L.) in the Viikki arboretum (60◦ 13’N, 25◦ 00’E), in Finland. The measurements were conducted in the darkroom of the remote sensing team at Aalto University (Espoo, Finland) from 5 to 10 July 2023, during the peak growing season. Directional-hemispherical reflectance and transmittance factors were measured at wavelengths from 350 to 2500 nm for adaxial (upper) and abaxial (lower) leaf sides. In addition, we recorded spatial coordinates of each bush and took photographs of the bush, its environment and the sampled branches. The table "spectral_T_adaxial.csv" contains the directional-hemispherical transmittance factors of the adaxial leaf sides. The table "spectral_T_abaxial.csv" contains the directional-hemispherical transmittance factors of the abaxial leaf sides. The table "spectral_R_adaxial.csv" contains the directional-hemispherical reflectance factors of the adaxial leaf sides. The table "spectral_R_abaxial.csv" contains the directional-hemispherical reflectance factors of the abaxial leaf sides. The table "description.csv" contains metadata for each sampled leaf. The file "sample_photos.pdf" contains photographs of the leaves, branches, bushes sampled and their surrounding environment. For further details on data collection, the measurement process and the content of the data files, see README.pdf. If using the data, please cite the Mendeley Dataset: Mercier, Audrey; Karlqvist, Susanna; Hovi, Aarne; Rautiainen, Miina (2023), “Leaf spectra of alder buckthorn, common hazel and European fly honeysuckle”, Mendeley Data, V1, doi: 10.17632/3bkrwhk4p3.1 Funding: European Union – NextGenerationEU as part of the Research Council of Finland project ARTISDIG (decision number 348152). We thank Daniel Richterich, Ellinoora Leivo and Tuomas Peurala for their support in locating the bush species in the Viikki arboretum.
DOI: 10.17632/nkdm57hvw3.2
title: KritiSamhita: South Indian Music Tonic Recognition Dataset (Audio)

description: The term ”kriti” stands for ”creation” or ”work” in Sanskrit and designates the primary method of musical composition in Carnatic music. It is a song with a particular arrangement that is a main feature in Carnatic music performances. Kriti is the fundamental unit of a Carnatic music performance in terms of musical form. The Sanskrit word, Samhita means a collection and expresses the idea of things being compiled or assembled following a particular methodology. KritiSamhita is therefore a systematic collection of vocal compositions that the dataset represents, classified by the music tonics of the compositions.

There are currently a limited number of Indian classical music datasets, especially those large enough and with useful annotations for training classification or prediction models. The tonic pitch, or base pitch, plays an important role in music, so much that it is sometimes called the keynote. The vocalists and the accompanying instrumental ensemble are fine-tuned to this keynote to render the composition. However, unlike in the western music where the tonic for a composition is predetermined, in Indian Classical Music (ICM), the lead artist or the vocalist chooses the tonic and other artists attune their rendition to the tonic. To create a large dataset with useful tonic annotations, we compiled these data. This dataset contains snippets covering four different tonics, ranging from F# to A, which are the most commonly used tonics.

The dataset contains two main files: "Carnatic_Dataset_Snippets.zip", a ZIP file containing the 20 second audio snippets, and "Carnatic_Dataset.csv", a CSV file containing the metadata and tonic annotations. Unzipping the ZIP file extracts a folder containing 4 sub folders for each of the 4 tonics represented in the dataset, labeled with the tonic name, such as "F#". Each of the 4 tonic folders contains 20 second snippets of songs in South Indian classical, or Carnatic, music. They are named as follows: {songName}_{tonic}_chunk{number}.mp3. For example, the first snippet of the song Raravenu, recorded in tonic F#, is named "Raravenu_F#_chunk0.mp3". The CSV file contains each snippet's file path and tonic annotation. Continuing the above example, an entry in the CSV file has "Carnatic_Dataset_Snippets/F#/Raravenu_F#_chunk0.mp3" in the first cell, and "F# Scale (4.5 Kattai)" in the second. (Kattai is the South Indian classical music term for tonic, and we included kattai conversions in the annotations as well.)

In total, there are 300 snippets in F#, 207 in G, 240 in G#, and 280 in A.

This dataset can be reused by other researchers to train their classification/prediction models and other automated systems to predict and leverage tonic. These data can also be valuable in helping new or experienced music learners test their pitch and find which tonic works best for them.
DOI: 10.17632/v6p265xv5v.2
title: tDCS, Exercise and S100B Indicated Blood Brain Barrier Permeability

description: This study aimed to assess the unique and combined effect of tDCS and exercise on BBB permeability, as assessed through changes in salivary S100B. It was hypothesised that active tDCS would induce a significant increase in S100B when compared to sham stimulation and no stimulation. It was also hypothesised that the increase in S100B concentration would be greater following active tDCS and exercise compared to tDCS or exercise alone. Regarding the effects of exercise, a significant increase in S100B following the cycling task was hypothesised.
DOI: 10.17632/r5xzvhjbpc.1
title: Dataset of "Industry 4.0" papers

description: Dataset of nearly 13,000 papers taken from Scopus, about the topic of "industry 4.0"
DOI: 10.17632/dzz48mvjht.1
title: Cardiovascular_Disease_Dataset

description: This heart disease dataset is acquired from one o f the multispecialty hospitals in India. Over 14 common features which makes it one of the heart disease dataset available so far for research purposes. This dataset consists of 1000 subjects with 12 features. This dataset will be useful for building a early-stage heart disease detection as well as to generate predictive machine learning models.
DOI: 10.17632/gfvsdtnf3v.1
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/jvkjsx9xpy
title: Soil silicon cycle in tropical regions：A review

description: Table Statistics
DOI: 10.17632/543xpjycj9.1
title: Electromyographic data recordings during isometric contractions of the biceps brachii and deltoid collected from patients and healthy subjects.

description: Electromyography (EMG) is a valuable tool for exploring both the nervous and muscular system. Two forms of pathologies called myopathy and neuropathy can affect the neuromuscular system. Myopathy refers to muscle conditions where muscle fibers show dysfunction while neuropathy is a neurological disorder related to the degeneration of nerves, resulting in muscle weakness, cramps, stiffness, muscle wasting, etc. Therefore, needle electromyography, known as intramuscular EMG (iEMG), is mainly used in clinical practice to diagnose patients with neuromuscular disorders. The dataset presented in this article contains three classes of raw invasive EMG signals, recorded from two nature of muscles, biceps brachii and deltoid, this data was collected from 241 participants, in hospital environment, spanning various ages and genders, 191 patients afflicted with either neuropathy or myopathy disease and 50 healthy subjects during isometric contraction. Furthermore, a Matlab code is provided to facilitate the reading of EMG files, carry out resampling and filtering procedures, and eliminate the 50 Hz noise component.
This dataset aimed to compare healthy and non-healthy subjects. Therefore, it can be useful as a reference to build an artiﬁcial intelligence model or validate a machine learning models created with different datasets, for the early detection of neuromuscular pathologies. 
Experimental dataset is considered of raw invasive EMG signals, this dataset were collected from October 2015 to April 2019 at the Neurology Department of Mustapha Pacha University Hospital of Algiers. These signals were collected with collaboration and support of specialist clinicians throughout the process and in partnership with the Spoken Communication and Signal Processing Laboratory and Instrumentation Laboratory of the Faculty of Electronics and Informatics of Houari Boumediene University of Sciences and Technology.
This EMG dataset covers a large population of healthy people in very good shape and sick subjects of various ages, genders, and neuromuscular pathologies like myopathy (i.e., myotonia and polymyositis) and neuropathy (i.e., anterior horn and multiple sclerosis and radicular damage), showing different severity level of disease
DOI: 10.17632/5kty5vyw7f.1
title: Data for: Short-run and long-run effects of ESG policies on value creation and the cost of equity of firms

description: We compile all accounting and market data from the Datastream database. Specifically, we use the ‘Worldscope Balance Sheet’ and ‘Worldscope Profit & Loss Statement’ templates to compile the financial statements of all listed firms in the four largest economies in the euro zone by GDP (i.e. Germany, France, Italy and Spain) for which Refinitiv® ESG Scores are available. The data series comprise 487 firms and a time interval of annual data that goes from 2016 to 2020.
Variations in ESG scores are determined using Refinitiv® ESG Scores, specifically, the Environmental Score, the Social Score and the Governance Score.
DOI: 10.17632/vmf6fbfm2n.1
title: Data of the Randomized Controlled Trial for the ESMATE project in El Salvador (Lower secondary level) from 2018 to 2019

description: This is the anonymized dataset of the Randomized Controlled Trial (RCT) for the ESMATE project in El Salvador (Lower secondary level). The RCT was conducted in collaboration between the Ministry of Education in El Salvador and JICA from 2018 to 2019.  

The ESMATE project is the JICA-support project in El Salvador. The project title in Spanish is "Proyecto de Mejoramiento de Aprendizajes en Matemática en Educación Básica y Educación Media: ESMATE.” 

The attached R script is for the following paper:
Maruyama, Takao. Forthcoming. "Strengthening Support of Teachers for Students to Improve Learning Outcomes in Mathematics: Empirical Evidence on a Structured Pedagogy Program in El Salvador." International Journal of  Educational Research. 

R script was written by Takao Maruyama. The dataset and codebooks uploaded in this website were also prepared by Takao Maruyama.
DOI: 10.17632/y9pjtt5ngc.6
title: Real driving emissions data: University of Pretoria

description: Real driving emissions (RDE) collected using a Portable Emissions Measurement System (PEMS) unit.

We recommend you read the version history of this data set to get the complete picture. This data set includes the RDE records of different vehicles:
- Isuzu FTR850 AMT (Road-Rail Vehicle) medium heavy vehicle with a Euro 3 classification (file: public-rrv.csv).
- Ford Figo 1.5 (1498ccm, 91kW) Trend hatchback light passenger vehicle with a Euro 6 classification (132g/km) (file: public-figo.csv).
- Toyota Etios 1.5 (1496ccm, 66kW) Sprint hatchback light passenger vehicle with a Euro 6 classification (138g/km) (file: public-etios.csv).

Changes in this version:
- The ensemble of trips with the Gauteng Department of Roads and Transport's Toyota Etios, was added in version 5 and contained two route deviations. The first was in trip 3 at 28.307E 25.7178S. The second was in trip 4 at 28.1998E 25.7735S. In this version of the data, the deviations were removed from the data sets.
DOI: 10.17632/hr444mhf4m.1
title: Dysthymia and vulnerable narcissism

description: The aim of the study was to explore the association between vulnerable narcissitic traits (assessed by the Hypersensitive Narcissism Scale-HSNS) and severity of depression (assessed by the Beck Depression Inventory-BDI) among dysthymic patients. Sociodemographic and clinical variables were gathered and tested for potential confounders. Differences in the scores of both BDI and HSNS among the different categories of all of these variables were explored; we conducted ANOVA and Student’s t to compare means, and Pearson’s correlation for age. A negative correlation between age and HSNS score (r=-0.250, p=0.025), and between age and BDI score (r=-0.345, p=0.002) was observed. No significant differences were found for the rest of sociodemographic and clinical variables. We conducted a regression analysis introducing HSNS as independent variable, BDI as dependent variable, age as moderator and controlling for sex. To that end, we used PROCESS procedure for SPSS Release 2.16.1.