cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/s6tgnnp5n2.2
title: VTI_DroneSET_FFT

description: This is RF drone database. For the research and development purposes of new of anti drone (ADRO) protection systems, it is necessary to have verified and tested database. To the best of our knowledge, there is only one database with a radio-frequency signals from drones and flight (operational) control. Therefore, at Military Academy, University of Defence in Belgrade and Military Technical Institute, extensive experiments with various scenarios were carried out in order to obtain a new RF database. For the equipment under test (EUT), three different drones (DJI Phantom IV, DJI Mavic Zoom and DJI Mavic 2 Enterprise) were used with a flight controller that sends and receives RF commands to and from drones in order to change the flight (operational) mode.
DOI: 10.17632/hh6fns65gz.1
title: Ahmed-Rebucci's "Dollar Reserves and U.S. Yields" Replication Package

description: This is the the replication package for “Dollar Reserves and U.S. Yields: Identifying the Price Impact of Official Flows”, by Rashad Ahmed and Alessandro Rebucci.
DOI: 10.17632/37jnjbt454.4
title: Chinese Food Life Cycle Assessment Database

description: In the Chinese Food Life Cycle Assessment Database (CFLCAD), Greenhouse Gas Emissions (GHGE) for 80 food items, Water Use (WU) for 93 food items and Land Use (LU) for 50 food items are collected through a literature review. The CFLCAD applies conversion factors for the edible portion of food, food loss ratio and processing, storage, packaging, transportation, and food preparation stages to estimate the environmental footprints of food from production to consumption. Similar food groups and recipes are used to match those food items without LCA value in the Chinese food composition table, resulting in a total of 17 food groups in the database.
DOI: 10.17632/p997fvf526.1
title: BDPapayaLeaf: A annotation based image dataset of papaya leaf disease.

description: The dataset contains images of papaya leaf diseases. Images were collected from Changao , Ashulia , Dhaka, Bangladesh area with coordinates at 23° 53' 2" N and 90° 19' 28" E. The images were taken from July 12-August 2, 2023 , approximately 22 days. The .rar directory has one parent folder. Inside parent folder there are 3 sub directory. Original Images, Annotations, Labels. ‘Original Images’ folder has all the original jpg images classified into five classes. ‘Annotations’ folder has annotation images in xml format . ‘Labels’ folder has annotation images in txt format .
Number of images: 2159
Number of classes: 5
Name if the classes: Anthracnose, Bacterial spot, Curl, Ring spot, and  Healthy .
Number of annotation images : 1050
Annotation format: XML,TXT
DOI: 10.17632/y5nybjdshn.1
title: Optimised simulated annealing for Ising spin glasses

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present several efficient implementations of the simulated annealing algorithm for Ising spin glasses on sparse graphs. In particular, we provide a generic code for any choice of couplings, an optimised code for bipartite graphs, and highly optimised implementations using multi-spin coding for graphs with small maximum degree and discrete couplings with a finite range. The latter codes achieve up to 50 spin flips per nanosecond on modern Intel CPUs. We also compare the performance of the c... Title of program: SimAn v1.0 Catalogue Id: AEVZ_v1_0 Nature of problem Ising spin glass ground states on sparse graphs. Versions of this program held in the CPC repository in Mendeley Data AEVZ_v1_0; SimAn v1.0; 10.1016/j.cpc.2015.02.015
DOI: 10.17632/ryyd8zp33s
title: School leadership in high-performing schools in Gauteng: Voices of SMT members

description: Abstract: The article presents the findings of a qualitative study on the characteristics of school leadership and management in two high-performing schools (HPSs) in Gauteng. The schools selected for the study had achieved over 90% overall pass rates from 2019 to 2021. Data were collected through document reviews from the Education Labour Relations Council (ELRC), and semi-structured interviews were conducted with school management team (SMT) members. Data were thematically analysed, and the study’s findings indicated that high performance in schools is driven by several factors, including school managers’ role in shaping the direction and managing the school as an organisation; managing teaching and learning and assuring accountability; and working with and for the community. While these elements contribute to schools’ quality, the article suggests that effective school leadership is contingent on the school’s context, and various leadership styles can be employed to enhance schools’ performance.
DOI: 10.15468/dl.uytdtv
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pimenta racemosa (Mill.) J.W.Moore",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 295 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009185-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g5g4c8vytn.1
title: Prolate radial spheroidal wave functions

description: Title of program: PRSWFN Catalogue Id: ACEY_v1_0 Nature of problem The prolate radial spheroidal wave functions appear in a wide range of physical applications, and in particular in two-centre systems. The package PRSWFN contains six subprograms which compute these functions of both the first and second kind for any argument and accuracy. Versions of this program held in the CPC repository in Mendeley Data ACEY_v1_0; PRSWFN; 10.1016/0010-4655(83)90060-7 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/kbwr2z8r3y.1
title: Processed Data for Electric Vehicle Powertrain Efficiency: Integrating Driving Cycle Data and Electric Motor Efficiency Maps

description: This study focuses on using high-fidelity tracking (GPS) data obtained to design electric powertrains, mainly for retrofit applications. The tracking data was collected to study micro-mobility behaviour, particularly for minibus taxis. It also considered the impact of driving conditions, driving speed, and time of travel during the day on vehicle energy consumption. The data was recorded in trips to or from Bergzicht Taxi Rank in Stellenbosch, South Africa. This raw data can be found in the "Raw_tracking.csv" file, the dataset contains a comprehensive set of columns capturing various parameters related to a vehicle's performance and behaviour during its operation on these tracking routes. This enables engineers to determine the electric powertrain's expected efficiency, aiding in component selection and optimization for electric vehicles.
Key steps in the method include:
•	Data manipulation: High-fidelity GPS tracking data is converted to the required torque and speed for the proposed electric drivetrain to replicate driver behaviour.
•	Electric motor efficiency map integration: The simulation process incorporates an electric motor efficiency map, ensuring a precise assessment of powertrain efficiency based on the specific characteristics and performance of the electric motor used.
•	Powertrain efficiency calculation: The overall powertrain efficiency of the proposed electric drivetrain is calculated and simulated based on the driving cycle data.
The derived powertrain efficiency has broader applications beyond retrofit scenarios. It can be replicated and applied to design and develop new electric vehicles, providing insights into efficiency values and performance characteristics. Moreover, it supports strategic planning for electric infrastructure to encourage the widespread adoption of electric vehicles, thereby contributing to sustainable transportation solutions.
 
The code provided "Drivetrain_efficiency_analysis.ipynb" simulates the data to generate the electric drive train efficiency by creating and plotting the driving cycle onto an electric motor efficiency map. This is used to generate the kinetic variables of the vehicle’s kinetic model namely the total resistive force, required motor torque required and required motor speed. The code enables the user to generate a specific motor efficiency map for the electric motor of the user's choosing. This will result in an output to generate an electric motor efficiency map on which the driving cycle data can be plotted. The motor efficiency is then used to determine the total drivetrain efficiency for a proposed electric powertrain for each driving cycle point. This analysed and processed data is found in the "Tracking_data_efficiecny.csv" file.
In this data, a Bosch SMG180 electric motor is used to determine the efficiency. The "SMG180.csv" file contains the data points for the torque vs rpm curve of the motor.
DOI: 10.17632/yv9vmph6vz.1
title: Dataset of study on the effect of structured reproductive health education on decreasing sexual intercourse among early adolescent

description: This dataset is the result of data collection from study on premarital sex behavior among early adolescents. It conducted in 2019. This data set was created to perform a more complex analysis, not only descriptive analysis, but also bivariable and multi-variable analysis. To perform analysis on this dataset, Stata 13 can be used.
DOI: 10.17632/6wd67g5zk7.1
title: All Operable Qualifying Facilities in America

description: This dataset lists every operable Qualifying Facility in America. Data collected through Form EIA-860 data and FERC 556 Forms.
DOI: 10.17632/cfdzx2rh8z.1
title: Data for: Reductive Transformations of Layered Manganese Oxides by Small Organic Acids and the Fate of Trace Metals

description: Raw data for all figures in the manuscript by Flynn and Catalano to be published by Geochimica et Cosmochimica Acta as "Reductive Transformations of Layered Manganese Oxides by Small Organic Acids and the Fate of Trace Metals".
DOI: 10.17632/bxr7kx84y6.2
title: A dataset of egocentric and exocentric view hands in interactive senses

description: The dataset provides data on the egocentric view (first-person view) and the exocentric view (third-person view). The dataset contains 47166 frame images from original videos captured by the iPhone. The data from egocentric and exocentric are recorded synchronously. Moreover, the data was acquired in the real world under natural light, white light, yellow light, and dim light. The dataset includes two, three, and four persons participating in interactive activities such as poker, checkers, and dice. The datasets contain various hand gestures, including extraordinary cases such as blur, severe deformation, sharp shadows, and extremely dim light. This dataset principally provides original data. Researchers can process the data for training, validation, and testing of supervised, semi-supervised, unsupervised and self-supervised deep learning models in static or real-time interaction scenarios for their research requirements.
DOI: 10.17632/m3m9924p3v.2
title: PkSLMNM: Pakistan Sign Language Manual and Non-Manual Gestures Dataset 

description: Cite This Article
S. Javaid and S. Rizvi, "A novel action transformer network for hybrid multimodal sign language recognition," Computers, Materials & Continua, vol. 74, no.1, pp. 523–537, 2023.
https://doi.org/10.32604/cmc.2023.031924


Sign language is a non-verbal form of communication used by people with impaired hearing and speech. They also use facial actions to provide sign language prosody, similar to intonation in spoken languages. Sign Language Recognition (SLR) using hand signs is a typical way, however, face expression and body language play an important role in communication, which has not been analyzed to its fullest potential. In this paper, we present a dataset that comprises manual (hand signs) and non-manual (facial expressions and body movements) gestures of Pakistan Sign Language (PSL). It contains videos of 7 basic affective expressions performed by 100 healthy individuals, presented in an easily accessible format of .MP4 that can be used to train and test systems to make robust models for real-time applications using videos. Current data can also help with facial feature detection, classification of subjects by gender and age, or provide insights into any individual’s interest and emotional state.
DOI: 10.17632/ch6rndwt5h.1
title: Chronic opioid use modulates human enteric microbiota and intestinal barrier integrity

description: Over the past three decades the United States has experienced a devastating opioid epidemic. One of the many debilitating side effects of chronic opioid use is opioid-induced bowel dysfunction. We investigated the impact of methadone maintenance treatment (MMT) on the gut microbiome, the gut bacterial metabolite profile, and intestinal barrier integrity. An imbalance in key bacterial communities required for production of short-chain fatty acids (SCFAs), mucus degradation, and maintenance of barrier integrity was identified. Consistent with dysbiosis, levels of fecal SCFAs were reduced in MMT. We demonstrated that metabolites synthesized by Akkermansia muciniphila modulate intestinal barrier integrity in vitro by strengthening the pore pathway and regulating tight junction protein expression. This study provides essential information about the therapeutic potential of A. muciniphila and warrants development of new clinical strategies that aim to normalize the gut microbiome in individuals affected by chronic opioid use.
DOI: 10.17632/xbfbcy5bhv.3
title: Data on Internet Addiction and Mental Health among university students in Malawi

description: The data about internet addiction and mental health symptoms collected from a set of randomly sampled 984 students from both public and private universities in Malawi.
DOI: 10.17632/2dybvpk42g.1
title: TORCWA: GPU-accelerated Fourier modal method and gradient-based optimization for metasurface design

description: TORCWA is an electromagnetic wave simulation and optimization tool utilizing rigorous coupled-wave analysis. One of the advantages of TORCWA is that it provides GPU-accelerated simulation. It shows a greatly accelerated simulation speed compared to when the same simulation is performed on a CPU-based. Although it has accelerated speed, the simulation results are almost identical to the commercialized electromagnetic wave simulations. The second advantage is that it provides GPU-accelerated gradient calculation for the simulation results with reverse-mode automatic differentiation of PyTorch version 1.10.1. In particular, the instability of gradient calculation of eigendecomposition is also improved. With this property, TORCWA can be utilized for the optimization of various nanophotonic devices. Here, we first introduce the formulation used in TORCWA, compare it with other commercial simulations, and show the computational performance in multiple environments. Then, the gradient calculation and optimization examples are shown. Thanks to accelerated computational performance and gradient calculation, TORCWA is a worthy program for designing and optimizing various nanophotonic devices.
DOI: 10.17632/cvx2mtt47t.1
title: LSGEN - a program to generate configuration-state lists of LS-coupled basis functions

description: Abstract The MCHF_LSGEN program systematically generates coupled configuration states needed for accurate MCHF studies. All possible couplings and configuration states are made of multi-replacements from several reference sets. Title of program: MCHF_LSGEN Catalogue Id: ACLG_v1_0 Nature of problem Atomic properties are calculated to high accuracy using large, systematic expansions of basis configuration state functions in variational MCHF calculations. Versions of this program held in the CPC repository in Mendeley Data ACLG_v1_0; MCHF_LSGEN; 10.1016/0010-4655(93)90024-7 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/hdhchngky8.1
title: DATA of the paper: "Extensive Experimental Investigation for the Optimization of the Energy Consumption of a High Payload Industrial Robot with Open Research Dataset"

description: The files here are related to the paper: "Extensive Experimental Investigation for the Optimization of the Energy Consumption of a High Payload Industrial Robot with Open Research Dataset". See the paper for more details The folder "data" contains all the experimental data subdivided into three files, one for each experiment type. The MATLAB script "graphs.m" generates all the graphs in the paper. The MATLAB script "maps.m" generates all the maps in the paper.
DOI: 10.17632/nz4hy7yrps.1
title: TVHeads (Top-View Heads) Dataset

description: The TVHeads (Top-View Heads) dataset contains depth images of people from top-view configuration. In particular, the purpose of this dataset is to locate the heads of people who are present below the camera. It contains a total of 1815 depth images (16 bit) with a dimension of 320x240 pixels. Furthermore, after an image preprocessing phase, the depth images are also converted, with an appropriate scaling, in order to obtain an images (8 bit) where the heads silhouette is highlighted by improving image contrast and brightness. The ground truth was manually labelled by 6 human annotators.
DOI: 10.17632/chy4m9xh4n.1
title: Data for: Volatility-of-volatility and the cross-section of option returns

description: Option returns and VOV measures
DOI: 10.17632/swk27btvgd.1
title: Updating ”Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement” with Expanded Data on Laboratory Rats under Isoflurane Anesthesia

description: The data were collected using a noncontact vital sign monitoring system. The system includes: (1) a Raspberry Pi 4 Model B with a 64-bit quad-core Cortex-A72 processor and 8 GB RAM; (2) a 24.05-24.25 GHz I/Q channel microwave radar with an 8-element TX/RX antenna (SHARP, model DC6M4JN3000); (3) a CMOS multi-function analog laser sensor (Keyence, models IL-1000 & IL-S065) with a 2 μm repeatability accuracy; and (4) an Arduino data acquisition board converting I/Q and laser signals to digital at 1092 Hz, 10-bit resolution. Tests were performed on four spontaneously breathing rats under isoflurane anesthesia (2.5% to 1.0% over 32 minutes), measuring respiratory rate variations to evaluate anesthesia depth. 
This dataset includes data files and MATLAB code. The data folder contains four data files: RatA.csv, RatB.csv, RatC.csv, and RatD.csv, which correspond to the raw data from radar and laser measurements. The columns in these files are structured as follows: Column 1: Time; Column 2: Radar I channel; Column 3: Radar Q channel; Column 4: Laser. The MATLAB code (estRespRate_rat.m) scripts can be used for signal visualization and FFT (fast Fourier transform) based respiration rate estimation.
DOI: 10.17632/vz6d7tw87f.1
title: LEM+ dataset: for agricultural remote sensing applications

description: This dataset is the supplementary data of a paper published in the Data in Brief Journal [1]. The dataset, in ESRI shapefile format (spatial reference system: WGS 84, EPSG: 4326), provides monthly land use information about 1854 fields from October 2019 to September 2020 from Luís Eduardo Magalhães (LEM) and other municipalities in the west of Bahia state, Brazil. The majority of the 16 land uses classes are related to crops. The paper [1] describes the applied data collection methods and procedures. Please see the related article for more details: [1] Oldoni, L. V.; Sanches, I. D.; Picoli, M. C. A.; Covre, R. M.; Fronza, J. G. 2020. LEM+ dataset: for agricultural remote sensing applications. Data in Brief (2020). The research and the fieldworks to collected data for this dataset was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001, by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) proccesses 142207/2018-7 (L.V.O.) and 303012/2018-8 (I.D.S.), and by the Environmental Monitoring of Brazilian Biomes project (Brazil Data Cube), funded by the Amazon Fund through the financial collaboration of the Brazilian Development Bank (BNDES) and the Foundation for Science, Technology and Space Applications (FUNCATE) process 17.2.0536.1.
DOI: 10.17632/hyn62spny2.1
title: Third Revision of the Global Surface Seawater Dimethyl Sulfide Climatology (DMS-Rev3)

description: This dataset contains all the input data and the Matlab codes for the Third Revision of the Global Surface Seawater Dimethyl Sulphide Climatology (DMS-Rev3) Shrivardhan Hulswar, Rafel Simo, Martí Galí, Thomas G. Bell, Arancha Lana, Swaleha Inamdar, Paul R. Halloran, George Manville and Anoop S. Mahajan *corresponding author: Anoop Sharad Mahajan (anoop@tropmet.res.in) Details to run the code can be found in the word file: Code details.docx
DOI: 10.17632/n6bbgtb3hj.1
title: Data sets for symbiotic interactions between <i>Rosellinia necatrix</i> and weed roots assist the spread of white root rot in soil
DOI: 10.17632/fmy4j7fw6w.2
title: Data and methodology: "Mobile Augmented Reality Apps in Education: Exploring the User Experience through Large-Scale Public Reviews"
DOI: 10.17632/tsvdyhbphs.1
title: PhilMedic: Philippine Medicinal Plant Leaf Dataset

description: Medicinal plants play an important role in human mental and physical well-being. As a result, recognizing and categorizing medicinal herbs is critical to providing quality medicines. This dataset contains forty (40) different species of medicinal plants found in the Philippines with a total of 4922 leaves. This dataset was used in the study "Classifying Philippine Medicinal Plants Based on Their Leaves Using Deep Learning" published on July 13, 2023. Using VGG19 as classifier in the study, it yielded an average accuracy of 92.67%. The images were captured in natural light using a 48-MP Android phone. Each leaf is photographed on both sides (front and back) to ensure that it can be recognized in different poses. Data collection started from September 30, 2022 to December 9, 2022. The following are the 40 classes: Class1-Hibiscus rosa-sinensis(HRS) or Hibiscus; Class2-Psidium guajava(PG) or Guava; Class3-Antidesma bunius(AB) or Salamander tree; Class4-Vitex negundo(VN) or Five-leaved chaste tree; Class5-Moringa oleifera(MO) or Horseradish tree; Class6-Blumea balsamifera(BB) or Ngai camphor; Class7-Origanum vulgare(OV) or Wild marjoram; Class8-Pepromia pellucida(PP) or Silver bush; Class9-Centella asiatica(CA) or Indian hydocotyle; Class10-Coleus scutellarioides(CS) or Painted Nettle; Class11-Phyllanthus niruri(PN) or Stone-breaker; Class12-Corchorus olitorius(CO) or Jute leaves; Class13-Momordica charantia (MC) or Bitter gourd; Class14-Euphorbia hirta(EH) or Asthma plant; Class15-Curcuma longa(CL) or Turmeric; Class16-Carmona retusa(CR) or Philippine Tea; Class17-Senna alata(SA) or Ringworm bush; Class18-Mentha cordifolia Opiz(MCO) or Spearmint; Class19-Capsicum frutescens(CF) or Chili pepper; Class20-Jatropha curcas(JC) or Physic Nut; Class21-Ocimum basilicum(OB) or Sweet basil; Class22-Nerium oleander(NO) or Oleander; Class23-Pandanus amaryllifolius(PA) or Vanilla grass; Class24-Aloe barbadensis Miller(ABM) or Aloe vera; Class25-Lagerstroemia speciosa(LS) or Crape Myrtle; Class26-Averrhoea bilimbi(AVB) or Cucumber tree; Class27-Annona muricata(AM) or Soursop; Class28-Citrus aurantiifolia(CIA) or Lime Tree; Class29-Premna odorata(PO) or Fragrant Premna; Class30-Gliricidia sepium(GS) or Mexican lilac; Class31-Citrus sinensis(CIS) or Sweet Orange; Class32-Mangifera indica(MI) or Mango; Class33-Citrus microcarpa(CM) or Philippine lime; Class34-Impatiens balsamina(IB) or Garden balsam; Class35-Arachis hypogaea(AH) or Peanut; Class36-Tamarindus indica(TI) or Tamarind; Class37-Leucaena leucocephala(LL) or River Tamarind; Class38-Ipomoea batatas(IPB) or Sweet potato; Class39-Manihot esculenta(ME) or Cassava; Class40-Citrus maxima(CMA) or Grapefruit.