cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z6rwf28682.3
title: Benchmark for Euclidean Single-Depot Bounded Multiple Travelling Salesman Problem instances

description: This repository introduces 168 novel instances (file: instances-168.csv) designed for solving the Euclidean Single-Depot Bounded Multiple Traveling Salesman Problem (Bounded MTSP). These instances are adapted from the TSP library, with city '1' designated as the depot, and the remaining 'n-1' cities representing destinations to be visited by 'k' salesmen. To define the tour constraints, we establish 'm_{min}' (minimum) and 'm_{max}' (maximum) values, informed by real-world surveys reflecting client visits ranging from 15 to 60. Our repository provides three sets of 'm_{min}' and 'm_{max}' pairs: 30, 50; 24, 40; and 18, 30. Additionally, the value for 'k' is calculated using the formula:

 ⎡ 1.3 x n ⎤
k( n , m_{max} ) = ⎜ ⎼⎼⎼⎼⎼⎼⎼ ⎥
 ⎜ m_{max} ⎥

In addition to the 168 new instances, we have included 6 instances proposed by (Junjie & Dingwei, 2006) (file instances-6.csv) and 16 instances proposed by (Necula et al. 2015) (instances-16.csv), raising the total to 190 instances. For each instance, we provide the best solution delivered by our 3-phase algorithm (folders: solutions-22 and solutions-163) and its corresponding solution graph (folder: graphs), along with a table detailing the minimum, average and maximum costs, the run number in which the best cost was obtained and the time elapsed to obtain that best cost, as well as the average processing time, the best cost and the lower bound achieved by the CPLEX solver (IBM, 2024), as well as the elapsed processing time, limited to 2 hours (file: results.xlsx).

These instances serve as valuable benchmarks for researchers exploring MTSP variants.

R. Necula, M. Breaban, and M. Raschip,
"Performance evaluation of ant colony systems for the single-depot multiple traveling salesman problem",
In International Conference on Hybrid Artificial Intelligence Systems, Springer, Cham. pp. 257--268, 2015.
Available: \url{https://doi.org/10.1007/978-3-319-19644-2\_22}

P. Junjie and W. Dingwei,
"An ant colony optimization algorithm for multiple travelling salesman problem",
In First International Conference on Innovative Computing, Information and Control-Volume I (ICICIC'06),
Vol. 1, pp. 210--213, IEEE, 2006
Available: \url{https://doi.org/10.1109/ICICIC.2006.40}

V. H. Pacheco-Valencia, N. Vakhania and J. A. Hernández-Aguilar, 
"An Algorithm to Solve the Euclidean Single-Depot Bounded Multiple Traveling Salesman Problem", 
In 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, 2023, pp. 7-12, 
Available: https://doi.org/10.1109/AIC57670.2023.10263920.

IBM, 
"IBM Ilog CPLEX optimization studio versión 22.1.1", 
Available at https://www.ibm.com/academic/home, 
Last accessed 15 march 2024.

TSPLIB
Available: http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95/tsp/
Last consulted 30 sep 2023
DOI: 10.17632/x8fdknwr99.2
title: Women and Property 1885-1889 Overview Data: North Riding Register of Deeds

description: Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. 1785-1789 findings include: distinctive patterns of female property involvement by gender and marital status. Married women represent more than 50% of female transactions despite having little, if any, legal status (coverture). Although 2,086 women transacted during this period, only 1.39% did so without husband's involvement; this increased to 45.47% by 1885-1889 period, reinforcing that Married Women's Property Acts were beginning to make an impact, treating married women as if 'feme sole'. More parity of involvement across marital status groups in 1885-1889 data, with spinsters' involvement increasing the most (from 17.58% to 31.37%). 1885-1889 dataset includes additional analysis by type of transaction and by township. **This spreadsheet shows overview of analysis of full 1885-1889 dataset.**
DOI: 10.17632/b83hmrzth8.1
title: Sun Flower Fruits and Leaves dataset for Sunflower Disease Classification through Machine Learning and Deep Learning

description: (1) The world economy largely depends on vegetable production, whereas The sunflower (Helianthus annuus) is an annual plant with a sizeable daisy-like flower face.  Because of the early disease recognition of sunflower, the farmer cannot produce high yield and face economic loss.
(2) In the recent era, image classification and detection is crucial application of Computer Vision. 
(3) In this dataset, two types files of Sunflower images are included, namely the original image file and the augmented image file. Three types of diseases, namely downy mildew, leaf scars, and Gray Mold, exist in every file. Besides, the fresh leaves image of a sunflower is also included.  
(4) A total of four hundred and sixty-seven images (467) are collected from the sunflower garden contained in the original image file. Then the augmentation operation is performed to boost the images, and a total of one thousand and six hundred sixty-six (1668) images are contained in the augmented image file. 
(5) The images of sunflower (disease-affected and disease-free) are assembled from the Bangladesh Agricultural Research Institute (BARI) demonstration farm at Gazipur with the help of domain expects.
DOI: 10.17632/ch5vgt8v9k.1
title: FruityHub: A diverse collection of fruits created for edibility estimation

description: The export of fresh fruits not only exerts a 
substantial influence on both national and global economies but 
also serves as a crucial source of livelihood for a vast number of 
farmers. Automated estimation of these fruits’ edibility (i.e. 
freshness level) is very essential to maintain the quality of 
exported fruits and to reduce the financial loss. Owing to the 
over-whelming performances achieved by deep neural networks 
in performing image classification tasks in recent years, many 
researchers have designed automated methods by exploiting the 
deep neural architectures to perform non-invasive quality 
identification of several plant parts (leaves, fruits, vegetables, 
etc.) in more time-efficient and cost- effective manner. The most 
notable hindrance which is faced by researchers while designing 
the automated methods is the lack of proper databases which 
are required to train them. To mitigate this research gap, in this 
work we have created a novel database namely, FruityHub 
comprising of a total of 1786 image frames belonging to eight 
different types of fruits namely, Dragon Fruits, Net Melons, 
Strawberries, Star Fruit, Zucchini, Mango, Pineapple and 
Plum. The image frames belonging to each fruit category can be 
classified as Fresh, Damaged and Severely Damaged which 
facilitates automated estimation of edible quality of these fruits 
depending upon their skin color, texture, shape, etc
DOI: 10.17632/btchxktzyw.1
title: Supplementary data tables for "A standardized citation metrics author database annotated for scientific field" (PLoS Biology 2019)

description: Citation metrics are widely used and misused. We have created a publicly available database of 100,000 top-scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator. Separate data are shown for career-long and single year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 176 sub-fields. Field- and subfield-specific percentiles are also provided for all scientists who have published at least 5 papers. Career-long data are updated to end-of-2017 and to end-of-2018 for comparison.
DOI: 10.17632/r73fyhg3t4.3
title: Determinants of intention to adopt Islamic financing in micro-business

description: Factors affecting the intention to adopt Islamic financing in micro-business.
DOI: 10.17632/56hdnvr7hs.3
title: A Transferable Long-term Lithium-ion Battery Aging Trajectory Prediction Model Considering Internal Resistance and Capacity Regeneration Phenomenon

description: This dataset contains eight lithium-ion batteries with different rest time and rest intervals. The dataset can be used to evaluate the state of X prediction models that takes into account the capacity regeneration phenomena.
DOI: 10.17632/svw96g68dv.4
title: Spatially resolved clonal copy number alterations in benign and malignant tissueJus

description: Additional data supplementary to the publication:

Erickson, A., He, M., Berglund, E. et al. Spatially resolved clonal copy number alterations in benign and malignant tissue. Nature 608, 360–367 (2022). https://doi.org/10.1038/s41586-022-05023-2

Includes count matrices and high-resolution histological images as well as additional figures and related materials that did not fit in the publication.

10x Space Ranger tissue_highres_images are included. If lowres images are desired, scale down the largest dimension of the highres image to 600 pixels from 2,000. For additional information see: https://support.10xgenomics.com/spatial-gene-expression/software/pipelines/latest/output/spatial
DOI: 10.17632/w5yjhpkybx.2
title: Respirable silica particles in coal mine dust: image library

description: This dataset comprises an image library and corresponding elemental data for 282 respirable silica particles. The particles were identified in samples of respirable coal mine dust (RCMD) collected in a group of US underground mines, and samples of lab-generated respirable dust that were created using the primary dust source materials obtained from those mines. Details regarding sample collection are given in [1,2]. A limited number of particles were also identified in samples generated from silica-containing reference materials, namely: Min-U-Sil 5 or Sil-Co-Sil (US Silica, Katy, TX; these are high purity quartz products), VCAS-160 (Vitro Minerals, Jackson, TN, USA; this is a high purity aluminosilicate glass powder), and Ball Clay (The Ceramic Shop, Norristown, PA, USA; this is an aluminosilicate powder that has moderate silica content).

The dataset can inform the understanding of real respirable silica particles in coal mine environments, including their texture and morphology, variation in aluminum content between the particle surface and core, and association with other particles (e.g., as agglomerates). 

The Respirable Silica Particle Image Library (.docx file) is presented in a single table, formatted with two columns (i.e., such that two particles are presented per row.) For each particle, a pair of SEM images (micrographs) is shown; one image was captured at 5 kV and the other at 20 kV, and Si (green) and Al (red) maps overlaid are overlaid. Additionally, the sample identifiers and the particle number are reported, along with the SEM magnification and the measured Si and Al% at 5 and 20 kV. If only one silica particle in the image was analyzed, the image is centered on that particle; if multiple particles were analyzed, the particle for which elemental values are reported is marked with +. (Sample identifiers include: Type (all samples) = respirable coal mine dust “RCMD”, lab-generated respirable sample from mine dust “source” material, or lab-generated respirable sample from “reference” material; Mine (RCMD and source samples) = mine number between 10-24; Location (RCMD samples) = intake, production, roof “bolter”, “feeder” breaker, or return; Source for source samples = run-of-mine coal “ROM coal”, ROM rock, bolter dust or rock dust; Material (reference samples) = Min-U-Sil 5 or Sil-Co-Sil, VCAS-160, and Ball Clay.)

The associated Normalized Atomic % Values table (.xlsx file) gives elemental data (i.e., % O, Al, Si, C, Mg, Ca, Ti, Fe) at both 5 and 20 kV for each of the 282 silica particles included in the library. Data can be cross-referenced to the library by particle number and sample identifiers.

References
[1] C. Keles, N. Pokhrel, E. Sarver, A study of respirable silica in underground coal mines: Sources. Minerals. 12 (2022) 1115. https://doi.org/10.3390/min12091115 
[2] C. Keles, E. Sarver A Study of Respirable Silica in Underground Coal Mines: Particle Characteristics. 12 (2022) 1555. https://doi.org/10.3390/min12121555
DOI: 10.17632/jxpfjc64kr.1
title: DDOS attack SDN Dataset

description: This is a SDN specific data set generated by using mininet emulator and used for traffic classification by machine learning and deep learning algorithms. The project start by creating ten topologies in mininet in which switches are connected to single Ryu controller. Network simulation runs for benign TCP, UDP and ICMP traffic and malicious traffic which is the collection of TCP Syn attack, UDP Flood attack, ICMP attack. Total 23 features are available in the data set in which some are extracted from the switches and others are calculated. Extracted features include Switch-id, Packet_count, byte_count, duration_sec, duration_nsec which is duration in nano-seconds, total duration is sum of duration_sec and durstaion_nsec, Source IP, Destination IP, Port number, tx_bytes is the number of bytes transferred from the switch port, rx_bytes is the number of bytes received on the switch port. dt field show the date and time which has been converted into number and a flow is monitored at a monitoring interval of 30 second. Calculated features include Packet per flow which is packet count during a single flow, Byte per flow is byte count during a single flow, Packet Rate is number of packets send per second and calculated by dividing the packet per flow by monitoring interval, number of Packet_ins messages, total flow entries in the switch, tx_kbps, rx_kbps are data transfer and receiving rate and Port Bandwidth is the sum of tx_kbps and rx_kbps. Last column indicates the class label which indicates whether the traffic type is benign or malicious. Benign traffic has label 0 and malicious traffic has label 1. Network simulation is run for 250 minutes and 1,04,345 rows of data is collected. The simulation is run for defined interval again and more data can be collected.
DOI: 10.17632/748f8jkphb.3
title: Indian Medicinal Leaves Image Datasets

description: Indian Medicinal plant datasets is a repository that consists of medicinal plants images. The images are captured with varying background without any environment constraints
DOI: 10.17632/v5znbkzjd4.1
title: Electrical Energy Price dataset - IEX data

description: Electrical energy price dataset is developed by collecting the hourly price data from during the period between 01-01-2021 and 31-08-2023. During this period
have total (365+365+243=973) days. Each day have 24 hours, and collected hourly price data, so total 23352 hourly electrical energy price samples are collected from IEX. Reconstructed whole dataset in such a way that electrical energy price at particular hour of the day is able to predict based on last two hours (L(T-1),L(T-2)) and last two days load data (L(T-24),L(T-48)), last two hours and last two days electricity price data (P(T-1), P(T-2), P(T-24), P(T-48)), season and day status (Day) same as active power load dataset. Hence the developed load dataset has total 10 input features i.e. L(T-1),L(T-2), L(T-24),L(T-48), P(T-1), P(T-2), P(T-24), P(T-48), Season and Day. Whereas output variable or predicted variable i.e., electrical energy price is only one P(T). This whole dataset has total 23,304 sample and 11 features (10 input features and 1 output feature)
DOI: 10.5061/dryad.tg735
title: Data from: Chatty maps: constructing sound maps of urban areas from social media data
DOI: 10.17632/f63ypgby9c.1
title: Emotional and Psychological impacts of stigma attached to Menstruation

description: Key Elements:
1. Simulated Data: The code generates simulated emotional impact values categorized into 'Low,' 'Moderate,' and 'High' levels, reflecting the complexity and diversity of emotional responses.
2. Visual Trends: A line plot is created to visualize the trends in emotional impact values across 250 samples. The use of distinctive colours and markers enhances clarity in understanding the fluctuations in impact levels.
3. Impact Level Differentiation: The code employs scatter plots to highlight specific impact levels ('Low,' 'Moderate,' 'High') within the dataset. This allows for a nuanced examination of individual data points and their corresponding impact levels.
4. Customization: The plot is customized with informative labels, including a title indicating the subject ('Emotional and Psychological Impact Over 250 Samples'), axis labels, and specific tick marks for better interpretability.
5. Legend and Grid: A legend is included to identify the different impact levels, aiding viewers in associating colours with specific categories. The addition of a grid facilitates a more precise examination of data points.
6. Visual Output: The resulting plot is displayed, providing a visual snapshot of the simulated emotional impact trends. The graphical representation aids in discerning patterns, variations, and tendencies within the dataset.
DOI: 10.17632/76s26nrcpv.1
title: Supplementary materials - STB-VMM: Swin Transformer Based Video Motion Magnification

description: Reference benchmark videos showcased in STB-VMM: Swin Transformer Based Video Motion Magnification. This dataset contains the original benchmarks as well as the results obtained using STB-VMM and learning-based video motion magnification (LB-VMM) [10.48550/arXiv.1804.02684]. These videos serve as a qualitative comparison between both learning based methods' image quality. The dataset is intended to help researchers and practitioners in the field of video motion magnification to evaluate and compare the performance of different methods.

The code for STB-VMM is open source and available at: https://github.com/RLado/STB-VMM
DOI: 10.17632/gjcxmdpsbj.1
title: How prior experience with pitch accents shapes the perception of word and sentence stress

description: The paper related to this dataset investigates the effect of immediate exposure with high- vs. low-pitched stressed syllables on the identification of word and sentence stress. Listeners have been shown to perceive high or rising pitch as stressed – at the word and sentence level (high-pitch bias). Since stressed syllables can also be low-pitched, this bias may lead to misinterpretations of word and sentence stress and thus slow down speech comprehension. In this study participants were exposed to utterances containing only high- vs. low-pitched stressed syllables. In experimental trials, they then heard either trisyllabic words with word stress on the second syllable (Experiment 1) or three-word sentences with sentence stress on the second word (Experiment 2) and indicated the position of word or sentence stress, respectively, using a metalinguistic stress judgment task. Stimuli were presented in three intonation conditions (high-pitched first, second, or third syllable/word). Both experiments endorsed the high-pitch bias, with an increase after high-pitch exposure. Our results suggest a speaker-independent re-weighting of acoustic cues to stress, which is driven by experience. On this platform, datasets for all experiments are provided (raw data for judgements of word stress, Experiment 1, and sentence stress, Experiment 2) and a R-Markdown file showing all steps in the statistical analysis (Exp. 1 & 2). Reference: Kutscheid, Zahner, Leemann & Braun (submitted). How prior experience with pitch accents shapes the perception of word and sentence stress. Language, Cognition and Neuroscience.
DOI: 10.17632/n52pmth7cc.2
title: The complete mitochondrial genome of the Common Rose butterfly, Pachliopta aristolochiae (Lepidoptera, Papilionoidea, Papilionidae) from Malaysia

description: This data represents the complete mitochondrial genome of the Common Rose butterfly, Pachliopta aristolochiae, originating from Malaysia. It has a total of 15,235bp in length, consisting of 37 genes (13 PCGs, 22 transfer RNA, two ribosomal RNA) and an A+T rich control region. Genomic DNA was extracted using the Qiagen Blood and Tissue Kit (Qiagen, Valencia, CA) and fragmented using a Bioruptor® system. The library was prepared using NEBNext® Ultra™ II DNA Library Prep Kit for Illumina®. The sequence reads were generated using the Illumina NovaSeq 6000 platform with 150 paired-end mode (PE150). The assembly was carried out using NOVOPlasty v.4.2 and run through PALEOMIX BAM pipeline to assess the quality of the genome mapping.  Then, the annotation was done using the MITOS v2 web server. Open Reading Frame (ORF) Finder was also used to verify predicted proteins and improve the genome annotation. The annotated mitogenome sequence file was converted into an accepted Genbank format using the GB2sequin web application. The circular mitogenome map was generated using OGDRAW.  The mitogenome is available in Genbank under the accession number MZ781228.