cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/74zz6dj9vn
title: Automatic Number Plate Recognition

description: Automatic Number Plate Recognition (ANPR) systems have gained a lot attention due to its vast applications, including traffic management, law enforcement, toll collection and parking systems. ANPR can also be used to track stolen vehicles that have been used in criminal activities.
ANPR systems face challenges in dusty environments, especially in developing countries where there are many untarred roads. ANPR systems also face tedious task due to the variety of plate formats (i.e., Plate size, background, character size, plate texture) especially where there is a busy environment and complex scenarios.  To address some of these challenges we present license plate dataset captured at various locations in Ghana.
The dataset is presented into one main folder which contains twelve (12) sub folders. The total number of images in the dataset is 11,326 images. It is grouped according to the regions in Ghana (6,202-Ashanti Region, 440-Brong Ahafo Region, 103 -Central Region, 665 - DV, 70 - Eastern Region, 3,084 -Greater Accra Region, 559 -Motorcycle, 24 - Northern Region, 10 -Upper East Region, 19 -Upper West Region, 07 - Volta Region, and 143 -Western Region). 
This dataset will contribute to the development of a more robust and efficient Number Plate Recognition system.
DOI: 10.17632/crv5pd77s5
title: Data for: Sperm allocation in relation to male-male aggression and courtship in an externally fertilising fish, the medaka

description: Data accompanying the manuscript "Sperm allocation in relation to male-male aggression and courtship in an externally fertilizing fish, the medaka, Oryzias latipes"
DOI: 10.6084/m9.figshare.24417031.v2
title: BP in Hemodialysis patients.xlsx

description: BP in a cohort of Hemodialysis patients. Data include patient demographics, antihypertensive drug use and Pre-intra and post blood pressure in each dialysis.
DOI: 10.6084/m9.figshare.27226977.v1
title: Specialist 4

description: document provided and written by one of the 10 specialist on the study I (number 4) to show the method used on evaluation
DOI: 10.6084/m9.figshare.27908811.v1
title: MOFFUSION_dataset

description: Hypothetical MOFs in .cif format used for MOFFUSION training
DOI: 10.17632/nfhcjx3gj9
title: MATLAB/Simulink models and results for multiple MR damper controlled structure using response adaptive algorithms.

description: The data includes the SIMULINK model of the controlled structure with corresponding ".m files" and "code files". The data also includes the result files.
DOI: 10.6084/m9.figshare.6292040.v1
title: C. PIPIENS WOLBACHIA MAGs

description: <b>Wolbachia metagenome-assembled genomes reconstructed from individual Culex pipens ovaries.</b><br>Details of the study and a reproducible bioinformatics workflow:<br>http://merenlab.org/data/wolbachia-plasmid/<br><br>All public data files in this collection:<br>https://figshare.com/projects/A_Wolbachia_Plasmid_by_Reveillaud_and_Bordenstein_et_al_2018_/32069
DOI: 10.17632/bjfbd8mhwh
title: Data for: Detailed description of the transient effect of radiative carrier transition in the bulk of semiconductor: the case of Gallium Antimonide

description: All the numerical datum are calculated using excel and the necessary datum are copied to the Origin for graphs or illustrations, because the excel graphs are not appropriate for publications.
DOI: 10.17633/rd.brunel.21427995.v1
title: Trials we cannot trust: investigating their impact on systematic reviews and clinical guidelines in spinal pain dataset

description: Data underpinning the analysis of the impact of index trials of published systematic reviews and meta-analysis. These data relate to the following paper published in the Journal of Pain: https://doi.org/10.1016/j.jpain.2023.07.003
DOI: 10.17632/3dts569zf2
title: Health literacy screening tools in dermatologic surgery

description: Supplemental materials from manuscript "Health literacy screening tools to identify patients at risk of misunderstanding wound care instructions after dermatologic surgery."

Supplement 1. The Newest Vital Sign, a validated and widely used measure of health literacy. Scores of 0, 1, 2, or 3 were considered low health literacy while scores ≥4 (out of 6) were considered high health literacy.

Supplement 2. Postoperative questionnaire. Score determined whether participants had low or high understanding of postoperative instructions. Participants needed to answer all 3 questions correctly to be considered as having “high understanding”. Participants were able to consult written instructions, which contained the information needed to answer these questions, while answering the questions.

Supplement 3. Number of questions correct on postoperative questionnaire across different ages. The number within each violin plot is the number of participants who answered the corresponding number of questions correctly. Abbreviations: TN, true negative; FP, false positive; FN, false negative; TP, true positive.
DOI: 10.17632/k62n4z9gdz
title: VeReMi_Extension: Dataset for Misbehaviors in VANETs

description: This VeReMi Extension dataset consists of a set of misbehaviors in Vehicular Ad hoc Networks (VANETs)
    • Original dataset: The dataset used in this study is based on an existing dataset that Kamel et al. [1] published in 2019. They made use of the vehicle trace data from the Luxembourg SUMO Traffic (LuST) scenario, an open-source synthetic traffic scenario verified using real data from the VehicularLab of the University of Luxembourg. 39 resulting datasets make up this dataset.
    • Prepared dataset: We combined all 39 datasets into a single CSV file for our dataset. Ground-truth data and log files are included with each simulation. There is only one ground truth file that describes how a vehicle actually acts in the network, and it is used to run simulations. The ground truth file also includes an attacker type to distinguish between legitimate and misbehaving vehicles. However, in a simulation, the number of log files is equal to the number of vehicles on the network. Every vehicle creates a log file that contains all of the BSMs that were received. The first step is to combine all of the various log files into one file because there are as many log files as there are receivers. The ground truth file must then be mapped to the log files for each simulation in order to link the log files and ground truth files. We added a categorical feature called "class" for the target class to the combined dataset in order to create a labeled database. This dataset has an uneven class structure because the VeReMi Extension comprises 3,194,808 instances, with the normal class making up 59,488% of the whole database.
The publication of this work on misbehavior detection is in [2] and [3]. Researchers in a variety of disciplines, including artificial intelligence and misbehavior detection in VANETs, can use our labeled dataset.
When utilizing this dataset, please refer to the respective papers [2] and [3].
[1] J. Kamel, “Github repository: Framework for misbehavior detection (f2md),” 2019. [Online]. Available: https://github.com/josephkamel/f2md
[2] O. Slama, B. Alaya, and S. Zidi, “Towards Misbehavior Intelligent Detection Using Guided Machine Learning in Vehicular Ad-hoc Networks (VANET),” Inteligencia Artificial, vol. 25, no. 70, pp. 138–154, 2022, doi: 10.4114/intartif.vol25iss70pp138-154.
[3] O. Slama, B. Alaya, S. Zidi, and M. Tarhouni, “Comparative Study of Misbehavior Detection System for Classifying misbehaviors on VANET.,” in 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, May 2022, vol. 1, pp. 243–248.
DOI: 10.17632/rjhh6cm55z
title: akkp69000

description: Context Scientific papers, as well as other types of documents, can be identified by a set of keywords. Typically, authors are free to choose their Keywords. When authors decide keywords, we called them Authors' Keywords (AK) Sometimes, keywords are imposed, limited or infered by using algorithms. KeyWordsPlus © (KP) try to use information from the bibliographic references of an article to infere keywords. Content This dataset contains information about AK and KP of 69.000 articles. All the articles have been retrieved from Web of Science (WOS): https://www.webofknowledge.com The data is splitted into three different collections: Raw: The raw data, as comes from WoS. Document are distributed over CSV documents. Columns "DE" and "ID" referers to AK and KP, respectively. filtered: We've removed all the articles which don't contain information about AK and KP at the same time. pre_processed: We have cleaned keywords to remove special character, and we have lowercased and stemmed all the keywords. In filtered and pre_processed, you will find two text documents: "ak.txt" and "kp.txt", every line of these documents referers to the same article. So for example, the article number 8 have the following keywords: AK: Automated knowledge assessment; concept map; linking phrase; semantic analysis KP: SCIENCE After pre-processing, the article number 8 have the following keywords: - AK: automknowledgassess;conceptmap;linkphrase;semant_analysi - KP: scienc Acknowledgements We want to thank Web of Science for giving access to it's database.
DOI: 10.6084/m9.figshare.22116602.v1
title: daily_ISF

description: Daily dry isentropic streamfunction based on ERA-Interim for 1979-2017. <br> See Lucas et al. (2020) for details. <br> Lucas, C., Rudeva, I., Nguyen, H. <em>et al.</em> Variability and changes to the mean meridional circulation in isentropic coordinates. <em>Clim Dyn</em> <strong>58</strong>, 257–276 (2022). https://doi.org/10.1007/s00382-021-05903-9 <br> <br>
DOI: 10.6084/m9.figshare.28614821.v1
title: Augment dataset

description: 本研究中收集的初始图像包括桃子在各种条件下的表现。然而，现实世界的果园除了天气和光线之外，还存在许多影响水果外观的因素。考虑到果园中不平坦的地面可能会导致未来机器人作期间拍摄角度不同，因此对 Pascal VOC 格式注释文件附带的原始数据集图像进行了数据增强。采用高斯噪声、随机亮度调整、图像旋转和水平翻转等技术来增强数据集。在增强过程中，至少对每个原始图像应用了一种方法。增强后，生成了 10,350 张新图像。在增强过程中，数据集中的标签文件信息会根据目标位置的变化自动更新。然后将新生成的标注文件转换回 YOLO 格式，以满足后续可行性实验模型验证的要求。
DOI: 10.6084/m9.figshare.8214506.v1
title: Zúñiga et al 2019

description: Experimental datasets
DOI: 10.17632/kyrdw48sht
title: Aged mice exhibit faster acquisition of intravenous opioid self-administration with variable effects on intake

description: The goal of this study was to address a critical gap in the literature regarding age-dependent effects in opioid (remifentanil and fentanyl) self-administration. Male and female C57Bl/6J and C57Bl/6NJ mice were divided into young (mean: 19 weeks) and old (mean: 101 weeks) groups and were trained to self-administer intravenous fentanyl or remifentanil in daily operant sessions. Acquisition, intake, and cue-responding after forced abstinence were measured for both drugs, and a dose-response curve and dose-escalation were conducted for remifentanil and fentanyl, respectively. Surprisingly, old mice learned to self-administer both remifentanil and fentanyl faster and more accurately than young mice. Baseline intake of remifentanil was also greater in old mice compared to the young group; however, we did not see increased intake of fentanyl with age at either dose tested. Furthermore, old mice showed greater responding for cues previously associated with remifentanil after a forced abstinence, but this result is not observed with fentanyl.
DOI: 10.6084/m9.figshare.14752377.v1
title: COVID-19 survivor data for mental health after six-month

description: The dataset for depression, anxiety and post-traumatic growth among COVID-19 survivors six-month after discharge.
DOI: 10.6084/m9.figshare.21340161.v4
title: Integrated Proteogenomic Characterization across Major Histological Types of Pituitary Neuroendocrine Tumors

description: Pituitary neuroendocrine tumor (PitNET) is one of the most common intracranial tumors. Due to its extensive tumor heterogeneity and the lack of high-quality tissues for biomarker discovery, the causative molecular mechanisms are far from being fully defined. Therefore, more studies are needed to improve the current clinicopathological classification system, and advanced treatment strategies such as targeted therapy and immunotherapy are yet to be explored. Here, we performed the largest integrative genomics, transcriptomics, proteomics, and phosphoproteomics analysis reported to date for a cohort of 200 PitNET patients. Genomics data indicate that <em>GNAS</em> copy number gain can serve as a reliable diagnostic marker for hyperproliferation of the PIT1 lineage. Proteomics-based classification of PitNETs identified 7 clusters, among which, tumors overexpressing epithelial-mesenchymal transition (EMT) markers clustered into a more invasive subgroup. Further analysis identified potential therapeutic targets, including CDK6, TWIST1, EGFR, and VEGFR2, for different clusters. Immune subtyping to explore the potential for application of immunotherapy in PitNET identified an association between alterations in the JAK1-STAT1-PDL1 axis and immune exhaustion, and between changes in the JAK3-STAT6-FOS/JUN axis and immune infiltration. These identified molecular markers and alternations in various clusters/subtypes were further confirmed in an independent cohort of 750 PitNET patients. This proteogenomic analysis across traditional histological boundaries improves our current understanding of PitNET pathophysiology and suggests novel therapeutic targets and strategies.
DOI: 10.6084/m9.figshare.22572868.v3
title: Electromyography and ExoBoot Proportional Myoelectric Control Data

description: Electromyography data, exoskeleton control data from Dephy ExoBoots under a custom proportional myoelectric controller. Data from an experimental paradigm measuring metabolic cost of walking both inside on a treadmill and outside overground. Files Included: Data from Dephy ExoBoots using a custom proportional myoelectric controller: EMG_EXO_DATA.zip Map from Google which shows one lap of the outdoor course: terrain.jpg Subject sex, height, weight, age, and walking speeds: Subject_Information.xlsx Redme with mroe information on files and data in the excel sheets.
DOI: 10.17632/p4yhvtzxvr
title: OPITeR: A program for tensor reduction of multi-loop Feynman integrals

description: We present OPITeR, a Form program for the reduction of multi-loop tensor Feynman integrals. The program can handle tensors, including spinor indices, with rank of up to 20 and can deal with up to 8 independent external momenta. The reduction occurs in D dimensions compatible with conventional dimensional regularization. The program is able to manifest symmetries of the integrand in the tensor reduced form.
DOI: 10.6084/m9.figshare.27610524.v2
title: HUSWD datasets(.nc)

description: We generated a 0.1° monthly sectoral water use dataset (High-resolution Sectoral Water use Dataset, HSWUD) for China, covering the period from 1965 to 2022. The dataset includes main sectors of national economic development such as irrigation, manufacturing, thermal power cooling, and domestic water use . This dataset will aid in understanding the impacts of human activities on water resources in changing environments
DOI: 10.6084/m9.figshare.6200822.v2
title: Experimental evidence of spatial signatures of approaching regime shifts in macroalgal canopies

description: Developing early warning signals to predict regime shifts in ecosystems is a central issue in current ecological research. Here, we tested the performance of spatial early warning signals in an intertidal macroalgal system, where removal of algal canopies pushed the system toward a tipping-point (corresponding approximately to 75% of canopy loss), marking the transition between a canopy- to a turf-dominated state. We performed a two-year experiment where spatial early warning indicators were assessed in transects where the canopy was differentially removed (from 0 to 100%). Unlike Moran correlation coefficient at <i>lag-1</i>, spatial variance, skewness, and spatial spectra at low frequency increased along the gradient of canopy degradation and dropped, or did not show any further increase beyond the transition point from a canopy- to a turf-dominated state (100 % canopy removal). Our study provides direct evidence of the suitability of spatial early warning signals to anticipate regime shifts in natural ecosystems.
DOI: 10.17632/bct4m7r88s
title: Comprehensive Dataset and Machine Learning Analysis for Predicting Adsorption Energies on MXene Surfaces to Enhance Catalyst Design

description: This dataset and accompanying analysis provide insights into the adsorption energies of MXene surfaces, leveraging machine learning to enhance catalyst design for the water-gas shift reaction. The repository includes:
Comprehensive Dataset on MXene Properties for Catalyst Design (2024):
An extensive dataset compiled to characterize MXene properties relevant to catalytic activity, including adsorption energy values and structural parameters.
Machine Learning and Data Analysis for MXene-Based Catalysts (Python):
A Python-based notebook showcasing machine learning workflows for data analysis, model training, and predictions of adsorption energies.
DOI: 10.17632/hst78yczmy
title: Geospatial Dataset on Deforestation and Urban Sprawl in Dhaka, Bangladesh: A Resource for Environmental Analysis

description: Google Earth Pro facilitated the acquisition of satellite imagery to monitor deforestation in Dhaka, Bangladesh. Multiple years of images were systematically captured from specific locations, allowing comprehensive analysis of tree cover reduction. The imagery displays diverse aspect ratios based on satellite perspectives and possesses high resolution, suitable for remote sensing. Each site provided 5 to 35 images annually, accumulating data over a ten-year period. The dataset classifies images into three primary categories: tree cover, deforested regions, and masked images. Organized by year, it comprises both raw and annotated images, each paired with a JSON file containing annotations and segmentation masks. This organization enhances accessibility and temporal analysis. Furthermore, the dataset is conducive to machine learning initiatives, particularly in training models for object detection and segmentation to evaluate environmental alterations.
DOI: 10.6084/m9.figshare.16509045.v2
title: Dataset associated to Castellanos-Galindo et al. article - Structural characteristics of the tallest mangrove forests of the American continent: a comparison of ground-based, drone and radar measurements - in Front. For. Glob. Change | doi: 10.3389/ffgc.2021.732468

description: Dataset associated to Castellanos-Galindo et al. article - Structural characteristics of the tallest mangrove forests of the American continent: a comparison of ground-based, drone and radar measurements - in Front. For. Glob. Change | doi: 10.3389/ffgc.2021.732468 <br>
DOI: 10.6084/m9.figshare.28225511.v1
title: <b>Nei'</b><b>s genetic distances calculation from ind-seq and pool-seq data</b>

description: <i>Bromus auleticus</i>, a valuable forage grass native to the Pampa biome, is currently suffering genetic erosion. Therefore, it is central to assess the appropriate methodologies for developing population genomic studies and contributing to the conservation of this plant genetic resource. This study evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq). To compare their efficacy, was investigated the correlation between allele frequencies calculated using each approach. Geneticdiversity and population structure were also analyzed using both methods. These comparisons explicitly accounted for the potential effects of one or more of the following parameters: sample size, missing data, sequencing depth, and minor allele frequencies. Notably, the highest concordance and percentage of common SNPs between ind-seq and pool-seq was achieved using 30 to 60 plants per accession, with a maximum missing data threshold of 10% and a more tolerant minimum allele frequency threshold for pool-seq (0.01) compared to ind-seq (0.05). Reaching maximum similarity in allele frequencies also required a higher sequencing depth for pool-seq (4.8 million reads-Mr) than for ind-seq (0.9 Mr). Pools of 50 individuals yielded the highest number of polymorphic sites, averaging over 9,000 across all accessions at a sequencing depth of 4.8 Mr. Under these conditions, pool-seq consistently yielded a means across all accessions of 0.09 higher expected heterozygosity and 0.24 lower allelic richness compared to ind-seq across all accessions. The population structure detected with both methodologies showed agreement, aligning with the outcrossing nature of <i>B. auleticus</i> and the geographical origin of each accession. The average inbreeding coefficient of 0.2 indicates signs of inbreeding, highlighting the importance of conservation efforts of this valuable plant genetic resource. Based on these findings, two workflows were proposed to carry out population genomics studies of <i>Bromus auleticus</i>.
DOI: 10.17632/62xpjw8jph
title: NaOH Viscosity and Density Data at 623-973 K

description: Raw data of viscosity and density measurements of molten NaOH at 623-973 K.
DOI: 10.6084/m9.figshare.10113032.v1
title: Global Nematode Abundance Dataset

description: <b>A comprehensive global dataset of soil nematode abundance and functional group composition. This dataset includes 6,825 georeferenced soil samples from all continents and biomes. </b><br>
DOI: 10.6084/m9.figshare.12250919.v1
title: Supplementary Table 1.xlsx

description: The worksheet of Relative Aggregated Metric (RAM) computation. RAM is a metric inspired by the F1-score to aggregate the 2 metrices (yield and cell viability) into a single metric for direct comparison. The workings are presented as cell functions in the worksheet.
DOI: 10.6084/m9.figshare.12618884.v1
title: Whole genome sequencing of Hypophthalmichthys molitrix (Cypriniformes: Cyprinidae) provides insights into its ecological adaptation

description: Genome sequencing of <i>Hypophthalmichthys molitrix</i>
DOI: 10.6084/m9.figshare.14622828.v1
title: Decidua and myometrial cell exosome proteomics data

description: Exosomes were isolated from culture media samples of decidual and myometrial cells under untreated control conditions, inflammatory, oxidative stress conditions. The protein cargo of these exosomes were analyzed for proteomic analysis using nano-LC-MS/MS.
DOI: 10.6084/m9.figshare.25140842.v1
title: Installation capacity potential of onshore/offshore wind and utility-scale/rooftop solar PV for China

description: vre_potential.gpkg: The capacity potential of onshore/offshore wind and utility-scale (UPV)/rooftop (DPV) solar PV under different land use scenarios in China, the unit is GW.fig1.pdf--fig5.pdf: full-size figure in main text.And raw data of article figures and units correspond to the figure legends.The .gpkg file can be read in QGIS or using geopandas in Python.
DOI: 10.6084/m9.figshare.26435059.v1
title: HEARING LOSS DATA

description: Data to determine whether the PAHRE test is effective for assessing SNR loss, considering age, degree of hearing loss, years of formal education, and high-frequency hearing decline.