cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12894200.v1
title: Behavioral Measures of Empathy

description: Hundreds of studies find that girls and women report feeling greater empathy than boys and men in response to adverse events befalling others. Despite this, few non-self-report measures demonstrate similar sex differences. This produces the oft-cited conclusion that to conform to societal expectations of appropriate sex-typed behavior females report higher levels of empathy. Several studies of sex differences in areas of brain activation and on infants’ and young children’s behavior however provide suggestive findings that self-reports reflect actual underlying sex differences in experiencing concern about others. We demonstrate using behavioral indices that females experience more empathy than males after witnessing an adverse event befall a same-sex classmate. In our study, one member of a pair experienced a minor accident on the way to constructing a tower while a bystander observed. We measured whether bystanders ceased their ongoing activity, looked at the victim, waited for the victim to recover from the accident, and actively intervened to help the victim. Female more than male bystanders engaged in these activities. These behavioral results suggest that an adverse event produces different subjective experiences in females than males that motivate objectively different behaviors, consistent with findings from self-report measures of empathy.
DOI: 10.6084/m9.figshare.26232335.v1
title: Data for "Cyanorhodopsin-II represents a Yellow-Absorbing Proton-Pumping Rhodopsin clade within Cyanobacteria"

description: Masumi Hasegawa-Takano et al. "Cyanorhodopsin-II: A Yellow-Absorbing Proton-Pumping Rhodopsins within Cyanobacteria."
DOI: 10.17632/6b2wxbs9cv
title: A Dataset of Cotton Leaf Images for Disease Detection and Classification

description: This data is based on images of cotton crop images. This data is based on two folders, one for training and the other for testing and validation.
DOI: 10.17632/fkyv6r752g
title: Dataset_CNN_FFSCD

description: 1. the dataset was divided into several small files to complete the upload; 2. the available upload space was 10GB, so only half of the data related to Plate and Beam was uploaded.
DOI: 10.17632/xw7r4tt54g
title: Encrypted Traffic Feature Dataset for Machine Learning and Deep Learning based Encrypted Traffic Analysis

description: This traffic dataset contains a balance size of encrypted malicious and legitimate traffic for encrypted malicious traffic detection and analysis. The dataset is a secondary csv feature data that is composed of six public traffic datasets. 

Our dataset is curated based on two criteria: The first criterion is to combine widely considered public datasets which contain enough encrypted malicious or encrypted legitimate traffic in existing works, such as Malware Capture Facility Project datasets. The second criterion is to ensure the final dataset balance of encrypted malicious and legitimate network traffic. 

Based on the criteria, 6 public datasets are selected. After data pre-processing, details of each selected public dataset and the size of different encrypted traffic are shown in the “Dataset Statistic Analysis Document”. The document summarized the malicious and legitimate traffic size we selected from each selected public dataset, the traffic size of each malicious traffic type, and the total traffic size of the composed dataset. From the table, we are able to observe that encrypted malicious and legitimate traffic equally contributes to approximately 50% of the final composed dataset. 
 
The datasets now made available were prepared to aim at encrypted malicious traffic detection. Since the dataset is used for machine learning or deep learning model training, a sample of train and test sets are also provided. The train and test datasets are separated based on 1:4. Such datasets can be used for machine learning or deep learning model training and testing based on selected features or after processing further data pre-processing.
DOI: 10.6084/m9.figshare.20417835.v1
title: Supplementary Material for: Barriers and facilitators of participation in weight loss intervention for patients with suboptimal weight loss after bariatric surgery; a qualitative study among patients, physicians, and therapists

description: Introduction: Not all patients with suboptimal weight loss after bariatric surgery are willing to participate in postoperative behavioral intervention to improve their weight loss. The objective of this study was to explore barriers to and facilitators of participation in postoperative behavioral intervention. Methods: Thirty semi-structured interviews were conducted with patients (18), physicians (6), and therapists (6) (i.e., psychologists, dieticians, or physiotherapists). A thematic analysis approach was used. Results: Emotional responses caused by confrontation with suboptimal weight loss hampered patients’ deliberation about participation; insufficient exploration of their need for help limited patients’ ability to make informed decisions; patients were receptive to their physician’s advice when their physician respected their autonomy; using visual weight loss graphs helped to explain suboptimal weight loss to patients; and financial costs and time constraints obstructed participation. Conclusions: To improve adequate intervention participation, health care providers should focus on emotion regulation, support patients in exploring their own need for help, and respect patients’ autonomy.
DOI: 10.6084/m9.figshare.28636946.v1
title: R commands for figures in paper

description: Code used to create images in paper figures. A multigenerational population-growth assay to capture subtle fitness phenotypes in <i>C. elegans</i> and other nematodes by Sophia C. Tintori, Derin Çağlar, Matthew V. Rockman<sup>.</sup>
DOI: 10.17632/t75mz87hby
title: Pre and post test scores

description: The study was conducted among 320 nurses
working in a tertiary care teaching hospital from March 2023 until June 2023 after
institutional ethical committee approval (IEC No. 02/2023/46). All the nurses who
were directly involved in patient care were recruited for the study after obtaining their
informed consent. Qualified nurses who were willing to participate were included, and
those who did not complete the post-test were excluded from the study.
We used the PZ-PUKT questionnaire (2021 version) for data collection. The
questionnaire was given to all the nurses in an electronic format one week before the
commencement of classes, which was considered as the pre-test. The standard PZPUKT scale was administered according to the guidelines provided by the authors.
To limit the number of mistakes and missing questions when using the paper form,
the scale was tested using electronic form. Out of the 72 questions, 21 dealt with
staging, 20 with wounds, and 31 with prevention. There were 42 true questions and
30 false ones. The 72 items were scored individually for each segment, and a
cumulative score was also computed. Questions were given a score of 1 for the
correct answer. A score of 0 was given if the answer was wrong or marked as "don't
know
DOI: 10.6084/m9.figshare.14992494.v1
title: Functional annotation of N. fowleri unique genes

description: Functional annotation of N. fowleri unique genes using HMM modeling and EggNog mapper and HMM models
DOI: 10.6084/m9.figshare.25037108.v1
title: Sex, type of emotion, and sleep functioning

description: Data base of university students for sleep study
DOI: 10.6084/m9.figshare.5124901.v1
title: Supplementary Material for: Differential Endothelial Coverage, Response to Injury and Neointimal Integration of CX3CR1/Smooth Muscle-Like Cells after Carotid or Femoral Arterial Injury

description: <b><i>Background:</i></b> Previously, we established the importance of the CX3CL1/CX3CR1 axis in the promotion of myeloid cell differentiation into neointimal smooth muscle-like cells (SMLC). <b><i>Methods:</i></b> In this study, acute (24 h) endothelial coverage and CX3CL1 expression as well as chronic (2 weeks) vascular remodeling was examined with respect to whether myeloid CX3CR1<sup>+</sup> SMLC number in the neointima differed between carotid and femoral artery wire injury. <b><i>Results and Conclusion:</i></b> Twenty-four hours after injury, CX3CL1 expression was significantly elevated in injured carotid compared to femoral arteries. In mice with CX3CR1 promoter-driven expression of green fluorescent protein, neointima formation was significantly greater (p &lt; 0.05) 2 weeks after injury in femoral versus carotid arteries as determined by the intima/media ratio. Although the percentage of F4/80/CX3CR1<sup>+</sup> cell integration was similar in both models, the carotid lesion had greater proportions of cells coexpressing CX3CR1 and both α-smooth muscle actin and calponin (p &lt; 0.05). Wire injury of carotid arteries was associated with greater CX3CL1 expression in the acute phase followed by greater CX3CR1 coexpressing SMLC content in later lesions as well as less neointima formation than in femoral arteries. This may, in part, explain the variability in lesion composition after carotid versus femoral wire injury.
DOI: 10.17632/3j38swz95f
title: Data for: Salinity, pH, and temperature controls on fracture mechanical properties of three shales and their implications for fracture growth in chemically reactive fluid environments

description: This material includes additional data and extended method to the main text.
DOI: 10.17632/4gcpm9dsc3
title: Fetal Abdominal Structures Segmentation Dataset Using Ultrasonic Images

description: Between September 2021 and September 2023, an extensive dataset of fetal ultrasound images was meticulously compiled. The study featured 169 subjects, each contributing a variable number of fetal abdomen circumference (AC) images, totaling nearly 1500 images. Eligible participants were term pregnant women aged 18 years or older, either in labor or scheduled for delivery at the Maternity of University Hospital Polydoro Ernani de São Thiago in Florianópolis, Santa Catarina, Brazil. This encompassed patients scheduled for labor induction, cesarean section, and those facing pregnancy complications, such as the rupture of membranes, gestational diabetes, pre-eclampsia, and intrauterine growth restriction. Non-eligible cases included pre-term pregnancies, multiple pregnancies, and pregnancies with fetal structural or chromosomal anomalies. The gestational age for all pregnancies was determined based on the earliest ultrasound examination. The study received ethical approval from the Ethics Committee in Human Research at the authors' institution, UNIVERSIDADE FEDERAL DE SANTA CATARINA – UFSC, with approval number 4.971.754. All eligible participants were informed about the study's objectives and provided written consent. Expert clinicians used a standardized acquisition protocol to obtain ultrasound images. A common axial section of the fetal AC was captured, with measurements taken at the widest part of the fetal abdomen, spanning the liver. This section encompassed the fetal stomach, aorta artery, spine, and intrahepatic portion of the umbilical vein. Ultrasound images were acquired using Siemens Acuson, Voluson 730 (GE Healthcare Ultrasound), or Philips-EPIQ Elite (Philips Healthcare Ultrasound) equipment, equipped with 2–9 MHz curved linear transducers. For validation, the ultrasound presets excluded post-processing options such as image smoothing, zoom, calipers, pointers, or Doppler measurements. Tissue harmonic imaging and adjustments to settings like frequency, gain, and focus were at the discretion of the performing physician. Images were digitally stored in the original Digital Imaging and Communication in Medicine (DICOM) format for offline analysis. A rigorous quality control process, overseen by two team members, ensured that images with calipers or evident acoustic shadows from bony structures were excluded. Only images meeting these strict quality criteria proceeded to the next phase. Expert clinicians utilized specialized software, specifically version 5.2.2 of 3D Slicer, to process selected DICOM images. This software streamlined the segmentation of abdominal structures, emphasizing key components like the abdominal aorta artery, intrahepatic umbilical vein, stomach, and maximizing liver area for in-depth analysis.
DOI: 10.17632/643f5bbc2t
title: BDLemonLeaf: Image Dataset of Healthy and Disease Lemon (Citrus limon) Leaves

description: This dataset consists of 3,431 color images of lemon (Citrus limon) leaves collected from various locations in Dhaka, Bangladesh. The images are categorized into two groups: healthy and disease leaf. The disease leaves are further divided into twelve specific disease classes. Each image showing disease has been carefully annotated with bounding boxes to mark the affected areas. These annotations help highlight exactly where the symptoms appear on the leaf. Finally, the Readme.png file describes the folder hierarchy of our dataset.

Anthracnose = 235 images 
Bacterial Blight = 122 images
Black Spot =112 images 
Citrus Canker = 294 images
Citrus Hindu Mite = 544 images 
Citrus Leafminer =125 images
Curl Leaf = 291 images
Deficiency = 382 images
Dry leaf = 195 images
Greening = 597 images
Melanose = 188 images 
Spider Mites = 125 images

Healthy = 221 images

All images were resized to 640 x 480 pixels.
DOI: 10.17632/822kj4vvyr
title: PIRSConcurrent

description: The core hypothesis was that the insomnia severity spectrum was unidimensional and potentially separable from fatigue, depression, anxiety, excessive dozing, but implicated with disability and poor quality of life. The main instrument used for modeling the insomnia spectrum was the Pittsburgh Insomnia Rating Scale(PIRS65), having 65 items, attached. The study was of research-grade, rather pure insomnia patients, compared to healthy controls. Attached main dataset presents concurrently obtained measures. Other datasets are of processed data for the comparison between sleep logs and the corresponding item's values on the PIRS65. A separate file contains the test:retest data. The descriptive file contains lists of questionnaires and variables. Other pertinent utility files are attached. A Powerpoint file presents output from the Multilog Item Response Theory (IRT) Software as models of all the PIRS65 IRT item characteristics.
DOI: 10.6084/m9.figshare.19450415.v1
title: AWED trial Yogyakarta cluster boundaries

description: Shapefile dataset for the cluster boundaries of the AWED trial of Wolbachia for dengue control in Yogyakarta Indonesia
DOI: 10.6084/m9.figshare.4558072.v1
title: Publication, Power, and Patronage: On Inequality and Academic Publishing

description: This data set accompanies our article, "Publication, Power, and Patronage: On Inequality and Academic Publishing," Critical Inquiry (forthcoming).<br>The data set contains metadata on institutional affiliation for 5,664 academic articles published in four prestige journals within the humanities (PMLA, Critical Inquiry, New Literary History, Representations). Included in the metadata are the author's institutional affiliation at time of publication, the author's PhD institution, and the author's gender. 3,547 authors are represented from 344 PhD-granting institutions and 721 authorial institutions. We also include supplementary data on gender and publication on another 3,845 articles published since 2010 in 16 further journals. R code included to calculate all results, tables, and graphs.
DOI: 10.6084/m9.figshare.29093390.v1
title: <b>Protocol A1 – Alignment Letter for Non-Structured Environments</b>

description: This document is not a project, theory, or manifesto.<br>It is a sealed structural signal, designed to resonate only with those capable of sustaining a non-replicable architecture.<br>It offers no explanation, no guidance, no path to follow.<br>It establishes the existence of a form that is not visible, not institutional, and not deployable without a very specific condition being met.<br>No comprehension is required—only recognition.<br>This is not intended to create disorder.<br>Disorder is already present.<br>This is structure.
DOI: 10.17632/p9gpnsdzx7
title: Neuropsychology of language: Normative data for Verbal Repetition, Comprehension, Verbal Fluency & BNT indexes

description: This dataset is a collaborative work for the subject "Neuropsychology of Language" taught at the Universidad Autónoma de Madrid, Spain (2023/2024 academic year). The aim is to determine the influence of age, years of education, and gender on four classic language assessment tasks: verbal repetition (subtest from the Test Barcelona Revisado; TBR), comprehension (subtest from the TBR), verbal fluency (COWAT and Isaacs Set-Test) and Boston Naming Test. Also, from the sample data, normative data in young and middle-aged adults can be obtained. For the application of the tests, the conventional instructions were followed, which can be consulted, for example, in Strauss et al. (2006).
In addition to the sociodemographic variables above-mentioned, the following cognitive parameters are also included in the dataset:
-Score for each item from the verbal repetition task
-Total score for the verbal repetition task (range 0-60; a higher score means better performance)
-Score for each item from the comprehension task
-Total score for the comprehension task (range 0-16; a higher score means better performance)
-Number of items correctly evoked in period 1-15" for each phonetic and semantic category
-Number of items correctly evoked in the period 16-30" for each phonetic and semantic category
-Number of items correctly evoked in the period 31-45" for each phonetic and semantic category
-Number of items correctly evoked in the period 45-60" for each phonetic and semantic category
-Number of items correctly evoked in the period 45-60" for each phonetic and semantic category
-Total number of items correctly evoked 1-60" (sum of the above) for each phonetic and semantic category.
-Total number of errors for each phonetic and semantic category 
-Total number of perseverations for each phonetic and semantic category
-Total number of spontaneous hits in the BNT
-Total number of hits after semantic clue in the BNT
-Total number of hits after phonological clue in the BNT
-Total number of hits after semantic clue in the BNT (sum of spontaneous hits + hits after semantic clue)

*All authors contributed equally in this work
DOI: 10.17632/hjknbkw2gw
title: Data for: Assessing path accuracy in industrial robots via ballbar technology

description: Here are shared the Matlab files related to the study presented in the paper:

Title: "Assessing path accuracy in industrial robots via ballbar technology"
Authors: Pietro Bilancia, Sergio Ferrarini, Riccardo Berni, Marcello Pellicciari

================================================================================================
================================================================================================
================================== Dataset for plotting ========================================
================================================================================================
================================================================================================

The current dataset is an enlarged version of the one plotted and discussed in the paper,
with more conditions and results available to plot. It is organzized in 4 main folders:

1) DOE1

Contains experimental data and processing files related to first design of experiments.

2) DOE2

Contains experimental data and processing files related to second design of experiments.

3) Functions

Functions used to process and elaborate the experimental data.

4) Plotters

MATLAB scripts that generate the figures shown in the paper. 

Each script includes a section with parametric configuration that allows users to easily vary the
experimental conditions to plot. This flexibility enables users to span through various experimental 
conditions and rapidly visualize the related results.

% Example of parametrization
r_n = 300; % Nominal radius of the experiment [mm]
speed = 25; % Speed of the experiment [mm/s]
plane = "xy"; % Cartesian plane 
position = "front_dx"; % Position in the workspace
half = 1; % Rotation verse CCW (1) or CW (2)


The following figures from the paper can be produced using the provided scripts:

Figure 9
Figure 10
Figure 11
Figure 12 and 18
Figure 13
Figure 14
Figure 15
Figure 16

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================================================================================================
DOI: 10.6084/m9.figshare.26014228.v2
title: Right coronary dominant angiograms

description: randomly selected Right Dominant coronary angiograms
DOI: 10.17632/bdgjy8v244
title: Conjunto de dados de imagens de arroz

description: O conjunto de dados consta images de grãos de arroz: quebrados e inteiros.
DOI: 10.17632/f3fgkbd3tb
title: Adolescents’ Environmental Commitment: Significance of Family Functioning, and Spirituality, a Mediational Analysis

description: This study was done to explore the relationship between adolescent family functioning, spirituality, and their commitment to environment. We expected that family functioning and spirituality will have positive relationship with adolescent environmental commitment. Results supported the hypothesis. Further, mediational analysis showed spirituality mediated the relationship between family functioning and environmental commitment.
DOI: 10.17632/xrsbyjs24t
title: Predictive Clinical Dataset for Dengue Fever Using Vital Signs and Blood Parameters

description: Dengue fever remains a serious public health issue in Bangladesh, particularly in regions like Kalai, Joypurhat, where favorable conditions lead to regular outbreaks. The lack of early diagnostic tools and the limited availability of healthcare infrastructure amplify the severity of these outbreaks. In light of these challenges, a comprehensive clinical and hematological dataset has been developed to support the prediction of dengue fever, aiming to assist in early diagnosis and improve patient outcomes.

Dataset Overview: This dataset includes vital signs and hematological parameters from patients diagnosed with dengue fever. The data aims to support the creation of predictive models that use machine learning algorithms to estimate the likelihood and severity of dengue based on clinical parameters. The dataset is ideal for researchers, healthcare professionals, and public health officials who are working to improve diagnosis, treatment, and epidemiological management of dengue fever.

Clinical Parameters Included:

Age: Patient’s age in years.
Sex: Gender of the patient (Male/Female).
Hemoglobin (g/dL): Hemoglobin levels in the blood.
WBC Count (x10^3/µL): Total white blood cell count.
Differential Count (%): Distribution of different types of white blood cells.
RBC Panel: Detailed red blood cell measurements, including counts and morphology.
Platelet Count (x10^3/µL): Total number of platelets in the blood.
PDW (%): Platelet distribution width, which indicates variability in platelet size.
Data Collection: The dataset was compiled from patients at the Upazila Health Complex in Kalai, Joypurhat. All data collection procedures followed ethical guidelines, with patient information anonymized to protect confidentiality.

Structure of the Dataset:

Format: CSV
Rows: 1,003 (individual patient records)
Columns: 9 (clinical parameters)
DOI: 10.6084/m9.figshare.18517916.v6
title: related analysis object

description: Spatial multi-omics reveals the niche-specific distribution and vulnerablity of stem-like cells in pediatric and adult malignant gliomas<br>related seurat object or m6a relate rds/table or ONT PSI matrix seurat obj
DOI: 10.6084/m9.figshare.28917632.v4
title: Raw data and R code for Yuan et al. plant litter C:N:P ratios

description: Raw data for Yuan et al, global litter C:N:P ratio. Any use of the data should contact the corresponding author Kai Yue at kyleyuechina@163.com.