cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xf7ryhs3cd
title: Comprehensive lychee leaf data set: Digital images for analysis and classification

description: The lychee leaves in the investigated dataset were carefully selected for a variety of research and analysis uses. The 4,129 high-resolution images in this dataset each show intricate lychee foliage details. The photographs' standardization at a resolution of 1080 x 1920 pixels makes them uniform and easy to use for a range of applications. Each of the three sets of leaves in this large dataset indicates a distinct aspect of lychee health and vitality. 1. Diseased Lychee Leaves (Class I): Total Count: 3,539 images Subcategories: This extensive class further subdivides into six subcategories, each representing a specific lychee leaf disease: -Entomosporium Leaf Spot on Woody Ornamentals - Leaf Blight Lychee Leaf Diseases - Lychee Algal Spot in Non-Direct Sunlight - Lychee Anthracnose on Cloudy Day - Lychee Leaf Mites in Direct Sunlight - Lychee Mayetiola After Raining 2. Dry Lychee Leaves (Class II): Total Count: 476 images Description: This category comprises images of lychee leaves in a desiccated state, reflecting the natural progression of foliage as it transitions from vigor to senescence. The dry lychee leaves may showcase characteristic features such as wilting, discoloration, and a withered appearance. 3. Healthy Lychee Leaves (Class III): Total Count: 114 images Description: These pristine specimens exemplify the ideal state of lychee leaves, exhibiting vibrant green hues, uniform textures, and the absence of any visible blemishes. They serve as a benchmark for assessing the well-being of lychee foliage.
DOI: 10.17632/7nxxn4gj5s
title: Onion dataset

description: Onion dataset
DOI: 10.17632/95gtghgwkr
title: Data for: Initiation of thermal runaway in Lithium-ion cells by inductive heating
DOI: 10.17632/svz3d99tmm
title: Data for Glacial Isostatic Adjustment of the Pacific Coast of North America: The Influence of Lateral Earth Structure

description: These data are associated with the paper entitled Glacial Isostatic Adjustment of the Pacific Coast of North America: The Influence of Lateral Earth Structure. There are two files: - The first file contains modelled GIA-induced present-day vertical land motion rates for different 3D realisations of Earth structure; - The second file contains modelled relative sea level (RSL) curves spanning the past 21 kyr. Both of these data covers the western coast of central North America.
DOI: 10.17632/t2dj9b9vbx
title: anthropometry and mobility data

description: Shape, Body Composition, Grip Strength and Gait Speed Data in Thai Adults
DOI: 10.17632/fc3dd2hp8b
title: COVID-19 lifestyle data

description: The dataset was gathered from a survey conducted using a google form with 25 questions anonymously and 620 responses were received.
DOI: 10.17632/7rhys776cp
title: Dataset for "Arctic sea-ice loss warmed the temperate East Asian winter in the mid-Holocene"

description: We present 77 data of ice-rafted debris (125–250 μm, grains of individual minerals and rock debris per gram) from station LV77-36-1 in the East Siberian Sea and 76 data of Zr/Rb ratios from station ECMZ in the East China Sea to reconstruct the Holocene variations in Arctic sea ice and the East Asian winter monsoon, respectively.
DOI: 10.17632/mb8sdf576c
title: Remote Learning Experiences of Secondary School Students During the COVID-19 School Closure

description: This dataset is based on research whose aim was to find out secondary school students' experiences with mathematics remote learning during the COVID-19 school closure. Respondents were 174 grade 10 and 193 grade 11 students, from six selected secondary schools within the Kitwe district of Zambia. Of the 367 students, 178 (48.5%) were male while 189 (51.5%) were female. The ages of the respondents ranged from 13 to 21 years old (M=16.92, SD = 1.47). The dataset contains three files namely, the questionnaire, closed-ended questionnaire responses, and open-ended questionnaire responses.
DOI: 10.17632/r6p4hzjd5z
title: Data for: What are the Determinants of International Tourism in Tanzania?

description: Economic growth and data on tourism, Tanzania.
DOI: 10.17632/v3ys96h6jc
title: Mutual assessment of acoustic, pyrometric and thermographic laser powder bed fusion monitoring

description: This repository contains the processed data of  LPBF process monitoring using a Mircophone, a Pyrometer and a Thermography Camera to monitor a process with deliberate deviations from ideal conditions.
DOI: 10.17632/47gd92pbn9
title: GWAS summary statistics from study "25 novel loci for carotid intima-media thickness: a genome-wide association study in >45,000 individuals and meta-analysis of >100,000 individuals"

description: GWAS summary statistics data files related to the article "25 novel loci for carotid intima-media thickness: a genome-wide association study in >45,000 individuals and meta-analysis of >100,000 individuals" by Yeung et al.
DOI: 10.17632/9d8mcyp284
title: Panoramic radiography Images with diagnosis of need for Apicoectomy surgery as label

description: This data set consists of panoramic radiography images of patient’s jaws. data was labeled by skilled endodontist. this dataset was collected for the purpose of training machine learning algorithm to automate diagnosis workflow.

There is a test directory in the dataset this portion of data is remained unseen in training of model and was used only for assessment and comparison.

Data is annotated using bounding boxes, each bounding box captures a single tooth that either was subjected to root canal treatment in the past (class 0) or is considered in need of surgery by endodontist (class 1). Bounding boxes of each image can be found in text file with same name of image each line indicates a bonding box location and class in format of (class_id x_center y_center w h), keep in mind that this numbers are normalized. Beside bonding boxes there is binary label for each original image that indicate final result of image, if there is found one or more teeth in need of surgery final label is 1 meaning doctor deduced patient needs surgery treatment; otherwise , label is 0 meaning patient doesn’t need this treatment.

in training set there is a directory named single_teeth, contents of this directory are cropped from original image in the other word they are teeth that labels suggest need further investigation.

Original images are resized to (2000 ,1000, 3) for convince of use and storage they; however, single_teeth images have various shapes due nature of their content. also, all images in dataset are saved in PNG or JPG format not DICOM.
DOI: 10.17632/dx7fwfj28g
title: Data for: LONG-TERM DIVERSIFICATION PATHS AND ENERGY TRANSITIONS IN EUROPE

description: The data set provides the raw data we used in our research: energy use by primary energy source in United Kingdom, Italy, Netherlands, Portugal, Spain, Sweden, Germany and France, from 1800 to 2009, expressed in petajoules (the data do not cover the first decades of the period for some countries); the calculation process, based on the Herfindahl-Hirschman concentration index; and the outputs we obtained: the Energy Mix Concentration Index in the mentioned countries for the period covered. Our starting point are the historical databases developed by a number of energy researchers, that is, United Kingdom (Fouquet, 2014), Italy (Malanima, 2006), Netherlands (Gales et al., 2007), Portugal (Henriques, 2011), Spain (Rubio, 2005), Sweden (Kander, 2002) and Germany and France (Kander et al., 2014, where all the data, but the United Kingdom’s, have been collected - an alternative set of data is included for England and Wales by Warde (2007)-). The basic data set on energy consumption is available at http://www.fas.harvard.edu/~histecon/energyhistory/energydata.html
DOI: 10.17632/ynjgy8d3hm
title: allocation to growth and defense in hevea

description: Intra-specific variation in growth and defense in a provenance trial of rubber tree (Hevea brasiliensis) planted in Thailand with clones originating from the Amazon basin. Traits: investment in growth and latex yield, wood traits, and leaf traits. Environmental variables at the places of origin: climate and soil varibles.
DOI: 10.17632/38bzn9dckw
title: Bridging Networks of Social Media in Human Resource Management.

description: Literature Review
DOI: 10.17632/vg9sgd3nvc
title: Anesthetics and blood pressure

description: Effects of articaine and lidocaine on systolic and diastolic blood pressure
DOI: 10.17632/yj4d6x2f7d
title: Data for "Labeled loans and human capital investments"

description: Codes and database originated for the manuscript published in the DOI article: 10.1016/j.jdeveco.2023.103053
DOI: 10.6084/m9.figshare.28711073.v1
title: A FAN1 point mutation associated with accelerated Huntington's disease progression alters its PCNA-mediated assembly on DNA

description: Source data for figures and supplementary figures
DOI: 10.17632/6p52w7d5xd
title: PathCare: A Dataset for Road Fault Diagnosis

description: This dataset containing 386 images and 4 videos. The images were captured using a GoPro Hero 9 camera mounted on a moving vehicle. The purpose of the recording was to monitor road conditions. The recorded videos, featuring various road types, were later converted into individual frames. The dataset is categorized into three distinct classes: Crack, Pothole, and Uneven Surface
DOI: 10.17632/7rtrpcgpmy
title: Dataset for: Epidermal bladder cells as a herbivore defence mechanism.

description: Dataset for: Moog et al. (2023) Epidermal bladder cells as a herbivore defence mechanism.
DOI: 10.17632/rmssk6g7s6
title: Artificial Intelligence In Mobile Devices in Indonesia: The Role of Trust, Quality, and Price in Consumer Satisfaction with AI-Powered Smartphones

description: Artificial Intelligence in Mobile Devices in Indonesia: The Role of Trust, Quality, and Price in Consumer Satisfaction with AI-Powered Smartphones

The research objects focus on the following constructs:
1.⁠ ⁠User Trust in AI
2.⁠ ⁠AI Product Quality
3.⁠ ⁠Pricing
4.⁠ ⁠Customer Satisfaction

This study employs a quantitative, explanatory survey design to investigate the role of User Trust in AI, AI Product Quality, and Pricing Strategies in fostering Customer Satisfaction with AI-powered smartphones. This approach is chosen to quantify relationships between these variables and provide a clear explanatory framework for understanding the impact of these factors on customer satisfaction. The primary instrument used for data collection is a structured questionnaire, utilizing a five-point (1 – 5) Likert scale to measure respondents' perceptions and attitudes. The questionnaire includes various indicators related to User Trust in AI (Benevolence, Integrity, Competence, Honesty, Predictability, Credibility, Reliability, Correctness, Availability), AI Product Quality (Performance, Features, Reliability, Conformance, Durability, Serviceability, Aesthetics, Perceived Quality), Pricing (Price Transparency, Price-Quality Ratio, Relative Price, Price Confidence, Price Reliability, Price Fairness) and Customer Satisfaction (Overall Customer Satisfaction, Expectancy Disconfirmation, Affective Response, Perceived Value, Fulfilling Important Needs, Fulfilling Changing and New Needs). A pilot test was conducted to ensure the validity and reliability of the instrument, involving a small sample of respondents similar to the study population.

The unit of analysis for this study comprises approximately 259 respondents who are users of AI-powered smartphones. These participants were selected based on their usage of smartphones that incorporate AI technology, particularly in the context of features such as voice assistants, smart cameras, and automated services. Data collected from the survey were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This method was chosen due to its suitability for analyzing complex models and its ability to handle small to medium-sized samples effectively. The analysis involved two main stages: the measurement model and the structural model. The measurement model assessed the reliability and validity of the constructs, while the structural model evaluated the hypothesized relationships between User Trust in AI, AI Product Quality, Pricing, and Customer Satisfaction. The PLS-SEM approach provided robust insights into the direct and moderating effects of factors like trust and product quality on customer satisfaction, offering a comprehensive understanding of the drivers behind consumer attitudes toward AI smartphones.
DOI: 10.17632/ydtx9xh7yg
title: ECG Variables in LVSD Sri Lanka

description: Cases included the elderly patients who were older than 65 years and presented with LVSD (LVEF ≤ 50%, FS ≤ 29%) as diagnosed by echocardiography (4) (5) (6) with no other cardiovascular abnormality, while the control group included the individuals aged over 65 years whose LVEF ≥ 60% and admitted for receiving treatment for medical conditions other than any concurrent major cardiovascular disorders (ACS, MI, Heart Block, Carditis, etc). Accordingly, the study participants were recruited prospectively from the medical wards using purposive sampling method, from November 2020 to October 2021. Further, LVSD severity levels were defined as mild LVSD (LVEF= 41%-50%), moderate LVSD (LVEF= 31%-40%) and severe LVSD (LVEF< 30%) (18)  (19). The study participants were also screened for their demographic information, medical history and concurrent risk factors for cardiovascular diseases, followed by 12 leads ECG recording.
DOI: 10.17632/yx5pb66hwz
title: SimEMG database- simultaneous recordings of noise-free and noise-contaminated ECG signals

description: SimEMG is a database that collects recordings of ECG signals with and without EMG noise simultaneously. It assumes that the potential on every point along the arm is constant when muscles are relaxed and that the EMG noise is generated locally in the hands. Then, the potential difference between electrodes placed on the hands will include the EMG noise, while the potential difference between electrodes placed on the shoulders distant from the noise source will render the reference signal without noise. The Ag/AgCl electrodes for recording the limb leads are placed in the standard manner. In contrast, the electrodes for recording the precordial leads measure the potential difference between arms with and without EMG noise. Since we have 6 precordial electrodes in standard 12-lead ECG device, we engaged one pair of electrodes to obtain the reference (noise-free) signal by placing the electrodes on the shoulders at the point of attachment of the deltoid muscle to the humerus (upper arm) and calculating their potential difference. We used the other two pairs of precordial electrodes (Ag/AgCl and orbital) to obtain signals contaminated by EMG noise by placing them on fingers and calculating the potential difference between fingers on the left and right arms. Therefore, we obtain 4 single-lead signals per one recording: one reference and three signals contaminated with noise (one from standard limb leads and two from the potential difference between fingers). EMG noise was introduced by activating hand muscles either by pressing the fingers of one hand against each other or by pressing the object that causes resistance. In order to obtain signals contaminated only with EMG noise, we applied signal processing: 
-	Baseline wander is removed by applying a high-pass filter with the cutoff frequency of 1 Hz; 
-	Power-line interference is removed by applying a notch filter with the cutoff frequency of 50 Hz; 
-	High-frequency components are removed applying a low-pass filter with the cutoff frequency of 100 Hz. 

The SimEMG database contained 110 pairs of noise-free nad noise-contaminated single-lead recordings generated from 14 subjects (9 females and 5 males aged 40±13). The average SNR of the noise-contaminated signals is 8.53±5.5 dB. The sampling rate of signals is 500 Hz, while the amplitude resolution is 200 samples per mV. 

Names of recordings from SimEMG database are set in the following manner: 
patientNumber_patientRecordingNumber_ElectrodePosition.txt 
ElectrodePosition has 3 possible states: 
-	lead I: noise-contaminated signal is collected with Ag/AgCl electrodes located on the wrist, 
-	Ag-AgCl: noise-contaminated signal is collected with Ag/AgCl electrodes located on fingers, 
-	ORB: Noise-contaminated signal is collected with orbital electrodes located on fingers.
DOI: 10.6084/m9.figshare.28904659.v1
title: Poor survival of metastatic cancer patients hospitalized due to immune checkpoint inhibitor-related adverse events

description: Immune-related adverse events (irAEs) are common side effects of immune checkpoint inhibitor (ICI) cancer therapy, affecting approximately half of ICI-treated patients. irAEs may be severe and result in hospitalization. This study examined the risk factors and outcomes of irAE-related hospitalization. We conducted a retrospective study including 202 metastatic cancer patients treated with ICIs at Kuopio University Hospital, Finland, in 2015–2022. IrAEs occurred in 57.4% of the patients. About 26.0% of them required inpatient treatment. Hospitalization was associated with severe (grades III – IV) toxicities and need for systemic corticosteroids. Median overall survival (mOS) for hospitalized patients was 12.9 months and for outpatients with irAEs 26.9 months (<i>p</i> = 0.006). The duration of ICI therapy was 1.8 months in hospitalized patients and 5.0 months in outpatients (<i>p</i> &lt; 0.001). The median maximum glucocorticoid doses were 52 mg and 100 mg, respectively (<i>p</i> &lt; 0.001). IrAE-related hospitalization deteriorated the survival of ICI-treated patients, likely due to decreased biological efficacy of ICIs resulting from short therapy periods and strong immunosuppression by glucocorticoids. Immune-related adverse events (irAEs) are common in cancer patients receiving immune checkpoint inhibitor (ICI) therapy. Some of these side effects can be severe and require hospital treatment. In this study, 26% of patients that developed an irAE were admitted to hospital. Patients who were hospitalized had more severe toxicities and needed high-dose corticosteroids for the treatment of irAEs. Survival was shorter for hospitalized patients, 12.9 months, compared to those with side effects who were not hospitalized, 26.9 months. This is likely attributed to shorter ICI therapy periods and high corticosteroid doses that may suppress the ICI therapy efficacy. Therefore, hospitalization due to an irAE may be a poor prognostic factor for patients treated with ICIs.
DOI: 10.15468/dl.3wd7gu
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Nassauvia aculeata (Less.) Poepp. & Endl.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012898-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vyh54p3wcn
title: Serial multiple mediation of psychological empowerment and job burnout in the relationship between bullying experience and turnover intention among Chinese novice nurses in Triple A hospitals: A cross-sectional questionnaire survey

description: To examine the direct and indirect effects of workplace bullying on turnover intention using the serial multiple mediators of psychological empowerment and job burnout. A convenience sample of 450 novice nurses from 5 Triple A hospitals in the S province of China were evaluated using self-reported questionnaires of the Negative Acts Questionnaire-Revised, the Psychological Empowerment Instrument, the Chinese Maslach Burnout Inventory, and the Turnover Intention Scale. The data analyses were performed using the SPSS software version 26.0 (SPSS Inc.) and the  PROCESS macro. All the data sets were examined to ensure accuracy and completeness prior to any statistical analyses.
DOI: 10.17632/99s5ywbhfs
title: MT_data

description: The findings of current dataset are described in the Paper titled:
Regional three-dimensional magnetotelluric electrical resistivity model 
of the Manica greenstone belt, western Mozambique
DOI: 10.17632/h6d3ccdr8v
title: Data for: Estimation of gait timing using wearable inertial sensors: comparison of 17 algorithms from a systematic literature review

description: 'Walking' and 'Walking_Plate' data are referred to walking tasks of 35 healthy subjects acquired using inertial measurement units and platform force, respectively, in controlled laboratory condition.
DOI: 10.17632/v6fvmzpcrn
title: LBcuda: A high-performance CUDA port of LBsoft for simulation of colloidal systems

description: We present LBcuda, a GPU accelerated version of LBsoft, our open-source MPI-based software for the simulation of multi-component colloidal flows. We describe the design principles, the optimization and the resulting performance as compared to the CPU version, using both an average cost GPU and high-end NVidia GPU cards (V100 and the latest A100). The results show a substantial acceleration for the fluid solver reaching up to 200 GLUPS (Giga Lattice Updates Per Second) on a cluster made of 512 A100 NVIDIA cards simulating a grid of eight billion lattice points. These results open attractive prospects for the computational design of new materials based on colloidal particles.
DOI: 10.17632/x4w2cv935b
title: Dataset measuring and enhancing learning organisation and innovative work behaviour in Malaysia: A Partial Least Squares Structural Equation Modeling (PLS-SEM) approach

description: This dataset aimed to be published in Data in Brief. All regions of Malaysia were represented by respondents. Quantitative research methods were applied in data analysis. By means of an online survey, structured questionnaires were distributed to 450 state education officials selected using stratified random sampling to assure their regional representation (Northern Region, Central Region, Southern Region, East Coast, and East Malaysia). Using structural equation modeling (SEM) and Smart PLS version 3 software, data were presented.
DOI: 10.6084/m9.figshare.1221198.v1
title: US crime rate over time

description: data culled from http://www.disastercenter.com/crime/uscrime.htm accessed October 28 2014. These are rate per 100,000 people, so not technically per capita, but the trend lines will be identical in a strict per capita calculation (the scale for the y axis merely changes)
DOI: 10.6084/m9.figshare.6397265.v1
title: List of unfiltered H2Db peptides (7-14 mers)

description: Unfiltered list of all MS-detectable 7-14 mers identified (1% FDR) from 19 mouse tissues and 4 mouse cell lines following immunoaffinity purification of H2Db-peptide complexes. Peptide sequence, source protein, source tissue, spectral counts (SC), length, predicted H2Db/Kb binding affinity (NetMHC), and annotation factors generated by the computational pipeline described in Caron et al. (eLife, 2015) are indicated.