cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bcmkfgct2s.1
title: SDFVD: Small-scale Deepfake Forgery Video Dataset

description: Small-scale Deepfake Forgery Video Dataset (SDFVD) is a custom dataset consisting of real and deepfake videos with diverse contexts designed to study and benchmark deepfake detection algorithms. The dataset comprising of a total of 106 videos, with 53 original and 53 deepfake videos. Equal number of real and deepfake videos, ensures balance for machine learning model training and evaluation. The original videos were collected from Pexels: a well- known provider of stock photography and stock footage(video). These videos include a variety of backgrounds, and the subjects represent different genders and ages, reflecting a diverse range of scenarios. The input videos have been pre-processed by cropping them to a length of approximately 4 to 5 seconds and resizing them to 720p resolution, ensuring a consistent and uniform format across the dataset. Deepfake videos were generated using Remaker AI employing face-swapping techniques. Remaker AI is an AI-powered platform that can generate images, swap faces in photos and videos, and edit content. The source face photos for these swaps were taken from Freepik: is an image bank website provides contents such as photographs, illustrations and vector images. 
SDFVD was created due to the lack of availability of any such comparable small-scale deepfake video datasets. Key benefits of such datasets are:
• In educational settings or smaller research labs, smaller datasets can be particularly useful as they require fewer resources, allowing students and researchers to conduct experiments with limited budgets and computational resources. 
• Researchers can use small-scale datasets to quickly prototype new ideas, test concepts, and refine algorithms before scaling up to larger datasets. 
Overall, SDFVD offers a compact but diverse collection of real and deepfake videos, suitable for a variety of applications, including research, security, and education. It serves as a valuable resource for exploring the rapidly evolving field of deepfake technology and its impact on society.
DOI: 10.17632/992mh7dk9y.1
title: insurance_claims 

description: The dataset is accessible via a GitHub repository, highlighting features like 'months_as_customer', 'age', and 'policy_number'. The main focus is the 'fraud_reported' variable, which indicates claim legitimacy.
DOI: 10.17632/pngpktkvm6.3
title: CESM1.2 Quadrupling CO2 Pulse experiment

description: General circulation and energy transport are investigated in a quadrupling CO2 pulse experiment. The outputs of CDRMIP-type experiment are compared to that of pulse experiment on whether it is applicable for realistic projections. The descriptions of variables are in README file.
DOI: 10.17632/dhcf8jbhd4.1
title: Chen_et_al_Molecular_Cell

description: Raw_Images
DOI: 10.15468/dl.w4xaqa
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mustelus mento Cope, 1877"
 ]
}

 The dataset includes 357 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009252-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3v9mcsvcd2.1
title: Indoor Environment Dataset Based on RSSI Collected with Bluetooth Devices

description: The dataset includes 11 files, each representing the signal power data collected using a specific mobile device in an indoor setting.

There is also a file with details about the positions of fixed anchor nodes in the scenario.

Each file contains these pieces of information:

WAPS: Signal strength data for corresponding anchor nodes (WAPS).
LABEL: The map position where the signal strengths were collected.
X, Y: Geographic coordinates of the labels.
DEVICE: The mobile device used for data collection.
ROOM_ID: Identification of the room where the data was gathered.
DOI: 10.17632/9mjbfwvgyv.1
title: Study on removal potential of Cu, Ni, Pb and Zn from four plants under hydroponic conditions

description: Four plants were selected for formal experiments: Iris sibirica L., Hydrocotyle vulgaris L., Alternanthera philoxeroides (Mart.) Griseb. and Sedum aizoon L. The tolerance, enrichment and migration ability of these four plants for copper, nickel, lead and zinc were investigated. S. aizoon and H. vulgaris were Cu hyperaccumulators, and all the plants were Ni hyperaccumulators. When the copper concentration was 200 mg/L, I. sibirica had the highest removal rate for copper in water (91.44%). The A. philoxeroides removal rate remained above 69% at each Ni concentration, which was much greater than that of the other plants. When the lead concentration was 200 mg/L, S. aizoon had the highest removal rate for lead in water (98.84%). The H. vulgaris and S. aizoon removal rates were stable at the four Zn concentrations, all above 89%. Therefore, these plants can be used in appropriate situations to design ecofriendly restoration of wastewater containing harmful heavy metals.
DOI: 10.17632/7khd858vfm.1
title: Data for: CFLab: A MATLAB GUI program for decomposing sediment grain size distribution using Weibull functions
DOI: 10.17632/mgmhz7yfd7.1
title: Electric vehicle charging station charging load data set

description: The electric vehicle (EV) charging load data is collected from the measured data in a certain area of Zhejiang in January 2019. Collect charging load data of public fast charging stations. The data are the daily EV charging load data record of the area with a sampling interval of 1 h. This data set contains charging load data of three charging stations.And the data provided are standardized charging load data.
DOI: 10.17632/8mcz8jsgnb.1
title: Zieni dataset for Phishing detection

description: This dataset was used for training machine learning models to detect phishing attacks and for studying the explainability of these models. It was published in 2024. The dataset refers to phishing and legitimate websites. Phishing samples have been collected from two sources, namely, PhishTank and Tranco, whereas legitimate samples were collected from Alexa. The dataset is balanced and contains 5,000 phishing and 5,000 legitimate samples, each described by 74 features extracted from the entire URL as well as from the Fully Qualified Domain Name, pathname, filename, and parameters. Of these features, 70 are numerical and four binary. The target variable is also binary.
DOI: 10.17632/kn8v3678n9.3
title: A Novel Dataset of Predictors of Mortality for Older Veterans Living with Type II Diabetes

description: This repository includes data from the Veterans Health Administration's Corporate Data Warehouse. Please cite the following publication when using this dataset:

Vaidya, AA, Benavidez, GA, JC Prentice, DC Mohr, PR Conlin, & KN Griffith. (in press). Mortality, demographic, and clinical data for U.S. veterans living with type 2 diabetes. Data in Brief.

These data were originally collected for the following research article:

KN Griffith, JC Prentice, DC Mohr, & PR Conlin. (2020). Predicting 5- and 10-Year Mortality Risk in Older Adults With Diabetes. Diabetes Care 43(8): 1724-1731.
DOI: 10.17632/98ry48hnhj.1
title: Replication Package for "Unveiling the Dance of Commodity Prices and the Global Financial Cycle"

description: This replication package includes the necessary data and MATLAB code files to reproduce all figures presented in the main text and the appendix.
DOI: 10.17632/yrtyprggf9.1
title: Simulator Sickness Questionnaire (SSQ) of the Application DTinVR

description: We provide the data of the simulator sickness questionnaire in accordance with Kennedy et al. (1993). 24 participants categorized their condition into 16 symptom categories as none (0), slight (1), moderate (2) or severe (3) after testing the Design Thinking in Virtual Reality application. The mean SSQ total score (TS) was 31.5. Further data and their calculations are provided in the excel file.
DOI: 10.17632/xndcshcn9s.1
title: Data for: Estimating dynamics of US demand for major fossil fuels

description: Abstract of associated article: Long-run demand relationships among fossil fuels in the United States were investigated using annual data covering 1918 through 2013. Due to the endogeneity problem among the variables of interest, as indicated by the findings from the Granger Causality test, weak exogeneity test, and Directed Acyclic Graphs, the use of the seemingly unrelated regression (SUR) method was deemed appropriate. The SUR model demonstrated that there was low level of substitutability among fossil fuels, but the small magnitude of the estimated coefficient indicates that natural gas, oil, and coal are more properly classified as independent goods than as substitutes of each other within the US market. Income elasticities for all three fossil fuels indicate that they are normal goods. Several external shocks have significant impact on demand for each of the fossil fuels. Slightly lower explanatory power of oil demand equation may be explained with the fact that the model did not include US oil imports although the US economy has been dependent, to some degree, on imported oil.
DOI: 10.17632/2c6w6nwvrg.1
title: Data for: Optimizing solar access for energy efficiency in high-rise residential buildings in dense urban tropics

description: Simulation results of high-rise residential buildings of 11,21 and 31 floors in a dense urban tropical climate
DOI: 10.17632/ys6zn5rz5k.1
title: Unveiling the Transformative Impact of Digital Technology on Productivity: A Bibliometric Analysis of Trends and Future Implications

description: Data mining from the Scopus database on publications related to digitalization and productivity. The data presented is from 2010 - 2023.
DOI: 10.17632/7vcj8kynhp.1
title: Political Awareness Retail

description: Political Awareness of all retail firms with ESG data
DOI: 10.17632/dh8rhvkr64.4
title: PV Panel in Proteus

description: Data of "Modeling of Photovoltaic Panel by using Proteus" Paper : https://www.academia.edu/33460615/Modeling_of_Photovoltaic_Panel_by_using_Proteus
DOI: 10.17632/kjh887ct4j.1
title: BanFakeNews-2.0

description: Our dataset is BanFakeNews-2.0, a Bangla Fake News dataset in which we have collected about 47000 authentic news articles (labeled as 1) and 13000 manually annotated fake news articles (labeled as 0).
DOI: 10.17632/cx555kswk3.2
title: An application example of production-inventory control problem

description: The applecation example problem concerns a supply chain network that supplies the final product to the market. There are five given suppliers, three potential locations for manufacturing facilities, five potential locations for distribution centers, and thirty given buyers. All infomation including the bill of materials, facility types, location of members, and all cost parameters is described in the data. A set of reasonable scales of parameters is generated by referring to the literature.
DOI: 10.17632/hp7k5zrsng.1
title: Data for: Probability Langmuir-Hinshelwood based CO2 photoreduction kinetic models

description: 1. Standard operating procedure used to collect CO2 photoreduction data. 2. SEM images of coated stainless steel supports. 3. Threshtom.py Python script used for estimating coverage using machine vision. 4. compareIt program files used for extracting GC data and subsequent nonlinear numerical analysis 5. GC_data 6. Readme for understanding data in 'Matlab_kinetic_data.mat' 7. Matlab file of data 'Matlab_kinetic_data.mat' used for fitting the probability LH based kinetic models. 8. Experimental details for the CO2 photoreduction experiments **Please note that 'ImportAgilentFID.m' was written by James Dillon - see https://github.com/chemplexity/chromatography/blob/master/Development/File\%20Conversion/ImportAgilentFID.m
DOI: 10.17632/hkfxnm2xpk.1
title: Built-Up expansion monitoring (Luanda City, Angola)

description: compressed file "RESEARCH_angolo_data" Satellite images, Geo-database, source code and all the necessary data (including video instructions) to reproduce the work.
DOI: 10.17632/t4jtcf9dr2.2
title: SYNBIOCHEM - Combinatorial plasmid libraries for material monomer production in Escherichia coli.

description: Combinatorial plasmid libraries for material monomer production in Escherichia coli. - Design of Experiments: To investigate the production of material monomer targets in E. coli, combinatorial plasmid libraries (carrying genes for enzyme steps in target biosynthetic pathways) were designed using a D-optimal design of experiments (DoE) approach. Varied factors include plasmid copy number (ColE1, p15a, BBR1 or SC101 origins of replication), promoter strength (Ptrc or PlacUV5 promoters), candidate gene selection, and sequential ordering of genes/promoters within the plasmid. Library sizes were selected in the range of 2-48 plasmids, depending on the number of factors and combinatorial space. The pdf file contains schematic illustrations of the plasmid libraries (Figures D1-18) along with DNA sequences of the PCR primers (Table D1) and bridging oligosaccharides (Table D2) required for LCR assembly of the libraries.
DOI: 10.17632/xxpwj354y9.2
title: Synthetic Thermal Comfort Profiles using ASHRAE thermal comfort databases I & II

description: This dataset comprises synthetic comfort profiles generated using ASHRAE global thermal comfort database I & II.

There are two main folders. The first folder named "Plots", and contains 8 subfolders. Each subfolder contains 50 profiles for the specific climate and season. The first letter represents the climate and the second letter represents the season. For example: AS - climate A for summer season.

The second folder named "Raw_Data_Profiles" contains the raw data (in CSV format) that makes the profiles. Each CSV file contains 51 rows. The first row includes the operative temperatures in degrees C. The other 50 rows include the raw data for the profiles. We used the following name convention: 
First Character - climate type; Second Character - Season (Summer -S, Winter -W); Cold - Probability of Cold discomfort - Comf - Probability of Comfort Warm - Probability of Warm discomfort.

This dataset is part of the work from the paper "Quantifying the Impact of Personal Comfort Systems on Thermal Satisfaction and Energy Consumption in Office Buildings under Different U.S. Climates", Al Jebaei H, Aryal A. Please cite the paper if your work uses these comfort profiles. For more information please contact Hussein Al Jebaei at: husseinaljebaei@tamu.edu

H. Al Jebaei and A. Aryal, “Quantifying the Impact of Personal Comfort Systems on Thermal Satisfaction and Energy Consumption in Office Buildings under Different U.S. Climates,” Energy and Buildings, p. 112448, Sep. 2022, doi: 10.1016/j.enbuild.2022.112448.
DOI: 10.17632/c245bmgf5n.2
title: BiconeDrag updated – A data processing application for the oscillating conical bob interfacial shear rheometer

description: We present a new improved version of BiconeDrag, a code that allows one to obtain the values of interfacial dynamic moduli from dynamic experiments performed in rotational interfacial shear rheometers with bicone probes. The general structure of the program remains the same: starting from the values of the torque/angular displacement amplitude ratio, and by using the equations of the hydrodynamic field, it is possible to decouple the contribution of the subphase (bulk) drag from the true interfacial drag. In this new version we have improved the implementation of the boundary condition at the interface so that now it is built as second order centered finite differences (SOCFD hereafter) with the help of a line of phantom nodes. The new numerical implementation of the interfacial boundary condition yields smoother velocity profiles at the bicone rim, which result in a more accurate separation of interfacial and subphase drags and, consequently, in a more precise calculation of the interfacial dynamic moduli.
DOI: 10.17632/kd8vyvkczf.1
title: Sand temperatures at volcanic sand sea turtle nesting beaches

description: Dataset of daily average sand temperatures, air temperatures, relative humidity and precipitation recorded at two volcanic sand beaches at the Pacific coast of Guatemala, Central America. Recorded from May 2018 to November 2019 using LogTag Trix-8 temperature loggers buried at 30 and 50 cm depth along the shoreline.
R script for LMM analyses of dataset.
DOI: 10.17632/kbdpg6c2wz.1
title: Consumer Perception towards Electric Vehicle - with special reference to Chennai city

description: Every industry has been modernized through technological innovation. The auto industry is also impacted in a similar 
way. In order to prevent global warming and climate change, the Indian government mandates that people move from internal 
combustion to electric automobiles. This is because electric vehicles are the future. The automobile manufacturers slowly shifting 
their production from tradition automobiles to electric one. By 2030, Government of India plans to have majority of electric vehicle 
in India. The government also motivate the people by providing incentives and tax benefits. If automobiles are electrified, even the 
import of fuels will be reduced. The high price of gasoline and environmental concern might be few reasons which intends public 
to adopt electric vehicle. The present study throws a light on consumer awareness towards electric vehicle and it also tries to 
identify the factors that influence the consumer perception towards Electric Vehicle. This study uses a descriptive approach to 
gather information from consumers by using a structured questionnaire. For the purpose of the study, 123 samples are collected 
from the Chennai city. The information gathered will be then analyzed to determine the expected outcomes of the study. The findings 
of the study will be beneficial to the government, automotive manufacturers, dealers and marketer. In this study, the researchers found that young females were major respondents. Nearly 87% of them were aware about Electric Vehicle and they get to know about Electric Vehicle through Social Media platforms followed by Television, Friends & Relatives. The First Factor is Conducive Factor. It shows that consumers were motivated by certain factors such as Easy to drive, 
Environmental Friendliness, Reduced dependence on Fossil Fuels, Government Incentives & Tax Benefits and therefore these 
variables create positive perception among the consumers to adopt Electric Vehicle.
The Second Factor is Hindering Factor. It shows that the consumers were discouraged by the certain factors such as Lack of 
charging station, Maintenance cost, Price of the Vehicle, Inconvenience to use for longer distance and these variables create negative 
perception about Electric Vehicle among the consumers. The findings revealed that there is significant relationship between age group and the conducive factor affecting consumers' 
perceptions toward electric vehicles. And found that, Conducive Factor highly influences the young adults followed by other age 
groups. Since, young adults are the future pillars of the society, they are having positive attitude towards Electric Vehicle and it is 
believed that they may adopt Electric Vehicle in the future.
India's EV drive will open up a lot of business opportunities in the mobility, infrastructure, and nd energy sectors if electric vehicle 
automobiles take off. And now consumers are switching from fuel-powered automobiles to electric vehicles.
DOI: 10.17632/wwsxxbgxtw.2
title: The Effects of Industry 4.0 Technologies on Relational Performance: the Mediating Role of Supply Chain Emergence in the Transitive Logistics Service Triads

description: The enclosed *.csv file contains the data collected for the analysis presented in the manuscript "The Effects of Industry 4.0 Technologies on Relational Performance: the Mediating Role of Supply Chain Emergence in the Transitive Logistics Service Triads" submitted to Supply Chain Management: an International Journal.
DOI: 10.17632/wfpn7t3bxh.1
title: Elastic energies of graphene under uniaxial stretching and bending according to different interatomic potentials: Tersoff, Brenner (REBO-1990, REBO-2000, REBO-2002, AIREBO), LCBOP, PPBE-G, ReaxFF-CHO and ReaxFF-C2013

description: Calculations of the elastic energy of graphene under uniaxial stretching and elastic energies of carbon nanotubes were performed using different interatomic potentials: Tersoff, REBO-1990, REBO-2000, AIREBO, REBO-2002, LCBOP, PPBE-G, ReaxFF-CHO and ReaxFF-C2013. The MD-kMC code was used for REBO-1990 and REBO-2002 and LAMMPS for the rest. The data include: (1) calculated equilibrium bond lengths and binding energies of graphene, (2) calculated dependences of the Poisson's ratio and potential energy of graphene on the elongation applied in the armchair or zigzag direction up to the maximal elongation of 3% (the Poisson's ratio is taken into account in calculations of the energy dependences), (3) calculated potential energies of large-diameter carbon nanotubes (100,0) - (2000,0).
DOI: 10.17632/mt72bmxz73.4
title: A comprehensive dataset of rice field weed detection from Bangladesh

description: Type of data: RGB digital images
Data format: .jpg
Number of images: 3632
Number of classes: 11
How data were acquired : Through a smartphone camera
Data source location: Rice fields of Narsingdi and Munshiganj, Bangladesh
Where applicable: Deep learning, image processing, agricultural studies
DOI: 10.17632/f557nzmpmc.2
title: Green Innovation Barriers of SMEs_Fuzzy ISM MICMAC DEMATEL

description: We have researched why SMEs can not easily adopt Green Innovation, in reflection of an emerging country, Turkey. As noting that the language is Turkish, the criteria of barriers used are economical, political, industrial, managemental, lack of knowledge and technological .
DOI: 10.17632/9srty4zng3.1
title: Effects of training volume performed with inter-repetition rest periods on strength gains and neuromuscular adaptations

description: Effects of training volume performed with inter-repetition rest periods on strength gains and neuromuscular adaptations
DOI: 10.17632/wsm36g9d82.1
title: Data for: Escaping the Trade War: Finance and Relational Supply Chains in the Adjustment to Trade Policy Shocks

description: Replication package for: Escaping the Trade War: Finance and Relational Supply Chains in the Adjustment to Trade Policy Shocks
DOI: 10.17632/6hyrr8typ7.1
title: CigDet (Cigarette Detection) Dataset

description: Our dataset, named CigDet, is tailored to advance the field of cigarette detection. Leveraging the smoker detection dataset available on the Mendeley Data online repository which was our previous work, we specifically concentrated on images categorized under the Smoking class. In these images, the presence of cigarettes serves as the pivotal attribute for smoker detection. Each image in our dataset is meticulously chosen to depict various scenes containing cigarettes amidst diverse backgrounds and environmental conditions, effectively simulating real-world complexities encountered in cigarette detection tasks.

For precise annotations, we utilized the LabelImg tool, renowned for its efficacy in annotation tasks, adhering strictly to the YOLO format. Employing a streamlined annotation approach, we focused solely on delineating and annotating instances of cigarettes within the images, ensuring accuracy and relevance.

Our dataset comprises 557 images, each representing a valuable sample for the intended task. To facilitate robust model training and thorough evaluation, we divided the dataset into distinct subsets for training and testing, comprising 446 and 111 images, respectively. This partitioning strategy was devised to ensure equitable distribution of instances between training and testing sets, enabling comprehensive evaluation of the model's performance across diverse scenarios.