cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/76cr3wfhff.2
title: Fish-gres Dataset for Fish Species Classification

description: Fish-gres dataset consists of 8 fish species, where the number of images on each species varies from 240 images to 577 images. This difference is due to the availability of random samples taken in traditional markets in Gresik, East Java, Indonesia. All of the species can easily be found in the traditional markets where the dataset was created. Image acquisition was carried out under various background conditions and the number of fish species varies in the traditional market in Gresik Regency, East Java, Indonesia.  The resolution of the acquisition image is 4160x3120 pixels, then we resize the image to 390x520 pixels. The species of the fish are as follows, Chanos Chanos (500 images), Johnius Trachycephalus (240 images), Nibea Albiflora (252 images), Rastrelliger Faughni (544 images), Upeneus Moluccensis (577 images), Eleutheronema Tetradactylum (240 images), Oreochromis Mossambicus (331 images), and Oreochromis Niloticus (564 images), respectively.

For use this dataset, please cite this related article:
Prasetyo, E., Suciati, N., & Fatichah, C. (2021). Multi-level residual network VGGNet for fish species classification. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.05.015
DOI: 10.17632/kvx6syk42x.1
title: Proyecto MASI - Electrical and Mechanical fabrication files

description: This data set contains the blueprints, board and schematic files corresponding to the design presented in: "Masi: A mechanical ventilator based on a manual resuscitator with telemedicine1capabilities for patients with ARDS during the COVID-19 crisis". In this article, we introduce a portable and low-cost ventilator that could be rapidly manufactured, to meet the increasing demand of ventilators worldwide produced by COVID-19 pandemic. These ventilators should be rapidly deployable and with functional capabilities to manage COVID-19 patients with severe acute respiratory distress syndrome (ARDS). Our implementation offers robustness, safety and functionality absent in existing solutions to the ventilator shortage (i.e., telemonitoring, easy-to-disinfect, modularity) by maintaining simplicity. The design makes use of a manual resuscitator as the core respiration component activated by a compression mechanism which consist of two electronically controlled paddles. The quality measurements obtained after testing on a calibrated artificial lung demonstrate repeatability and accuracy exceeding human capabilities of manual ventilation. The complete design files are provided in the supplementary materials to facilitate ventilator production even in resource-limited settings. The implementation of this mechanical ventilator could eliminate device rationing or splitting to serve multiple patients on ICUs.
DOI: 10.17632/7zm48755nc.1
title: Artificial Intelligence

description: Our aim is to provide a prominent space for critical analysis and review of the latest trends, technologies, and methodologies that are shaping the educational landscape through AI. By bringing together scholars, researchers, and education professionals, we seek to establish an interdisciplinary dialogue and deepen the understanding of the possibilities and challenges of AI in fostering learning.
DOI: 10.17632/ft64w7cckx.2
title: Dataset on Student Perceptions of Sustainable Mobility Pre- and Post Escape Room Intervention

description: This dataset examines the impact of gamification in education through an Escape Room activity on students' understanding of sustainable mobility. It includes pre/post activity questionnaires, CSV data on changing perceptions, and the original questionnaire in Word, aiding further research on gamification's role in promoting sustainable behaviors. Data encompass social demographics and mobility habits, alongside 14 items on mobility concepts and city planning,
DOI: 10.17632/hngxj3crgz.3
title: Base de dados: uma análise no campo da educação militarizada: o que dizem as teses e dissertações?

description: Os dados apresentados são oriundos de uma Revisão Sistemática da Literatura, cujo objetivo central foi identificar e analisar teses e dissertações publicadas ao longo dos últimos 25 anos, abrangendo, portanto, um estudo que se debruçou sobre trabalhos publicados entre 1999 e 2024. A intenção foi elaborar um panorama sobre como essas teses e dissertações interpretam o programa de militarização da educação pública básica. Em resumo, o que as investigações revelam acerca desse programa.
DOI: 10.17632/vvrhgbr643.1
title: TGRSS ang DIOR remote sensing

description: DIOR is a large-scale benchmark dataset for optical remote sensing image target detection proposed by Han Jw's group at XIT. The dataset contains 23,463 images and 192,472 instances with an image size of 800×800 pixels and covers 20 object classes. Among them, the training set contains 5862 images, the validation set contains 5863 images, and the test set contains 11725 images. These 20 object classes are: Wind mill, Vehicle, Train station, Tennis court, Storage Tank, Ship, Harbor, Stadium, Ground Track Field, Golf course, Expressway toll station, Expressway service area, Dam, Chimney, Bridge, Overpass, Basketball Court, Baseball field, Airport, Airplane.
DOI: 10.17632/y2483n55yr.2
title: How Does Phase Behavior Affect Fluid-Fluid Displacement in Porous Media?

description: data for How Does Phase Behavior Affect Fluid-Fluid Displacement in Porous Media?
DOI: 10.17632/x92rnd3ryw.1
title: Bacillus bioeconomy patents

description: Data regarding Derwent Innovation Index database from the World Intellectual Property Organization (WIPO) patent document research performed for the "Bacillus genus industrial applications through a circular bioeconomy approach" article.
DOI: 10.17632/z8ks4f5vy5.1
title: Book Higher Order Dynamic Mode Decomposition and its applications: MATLAB codes

description: This repository contains the MATLAB codes presented in the book: 'Higher order dynamic mode decomposition and its applications' , by J.M. Vega & S. Le Clainche, ISBN: 9780128197431, 2020.
DOI: 10.15468/dl.hdxfm5
title: Occurrence Download

description: A dataset containing 942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus radiata D.Don",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 942 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009238-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/byr94xy7mv.1
title: Cranial interlandmark distances from CT bone models of 330 living persons

description: Simmons-Ehrhardt et al. [12] reported averaged cranial measurements, derived from 3D bone models of CT scans collected from 303 living subjects in the U.S.A.  The CT database comprised both sexes and three ancestry groups, African female (n=62), African male (n=48), Asian female (n=48), Asian male (n=47), European female (n=50), European male (n=48).  ILDs were compared to populations in the Forensic Data Bank [18] representing similar demographic groups and each subject was classified using Fordisc 3 [19, 20].  Data in the Forensic Data Bank were collected by various contributors using traditional measurements on dry skulls.

Standard craniometric definitions were used to make most measurements, but three were adjusted slightly from their original definition for caliper measurements [18] to accommodate collection between landmarks in the CT modality.  Maxillofrontale (MfL/R), as defined by White [21], was selected over dacryon to estimate orbital breadth (OBB) due to the inability to see dacryon on many CT scans. Orbital height (OBH) was measured by placing one landmark at approximately the midpoint of the superior orbital border (MsorL/R) and a second landmark on the inferior orbital border (IorL/R), approximating a line perpendicular to orbital breadth (OBB).  Traditional caliper-derived measurements such as maximum cranial breadth (XCB) were collected by locating and adjusting the positions of left and right euryon (Eu) in the orthogonal views of the CT slices as well as the 3D model to estimate the most lateral points of the skull.  After landmark placement, all distances were calculated by Mimics as the 3D distance between the two specified landmarks.
[12] T. Simmons-Ehrhardt, C. Ehrhardt, K. Monson, Evaluation of the suitability of cranial measurements obtained from surface-rendered CT scans of living people for estimating sex and ancestry, J Forensic Radiol Imag 19 (2019) 100338. doi:10.1016/j.jofri.2019.100338.
[18] P.H. Moore-Jansen, S.D. Ousley, R.L. Jantz, Data collection procedures for forensic skeletal material, Forensic Anthropology Center, Department of Anthropology, University of Tennessee, Knoxville 1994.
[19] R. Jantz, S.D. Ousley, FORDISC 3.0: Computerized Forensic Discriminant Functions, The University of Tennessee, Knoxville, 2005.
[20] S.D. Ousley, R.L. Jantz, Fordisc 3 and statistical methods for estimating sex and ancestry, in: D.C. Dirkmaat (Ed.), A Companion to Forensic Anthropology, Wiley-Blackwell, Chichester, 2012, pp. 349-367.
[21] T.D. White, P.A. Folkens, Human Osteology, 2nd ed., Academic Press, San Diego, 2000.
DOI: 10.17632/dxrwf74ddx.1
title:  Dataset for Adulterated Jeera Powder with Wood Dust

description: It contains high-quality images of Jeera Powder adulteration with Wood Dust at 12 different proportions:- 0%, 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, and 100% adulterant.

The authors want to thank Sri Snehasis Guha, PIC of Malda Polytechnic, 5th-semester students of the department of Food Processing Technology, Malda polytechnic, Government of West Bengal, India, for their support.
DOI: 10.17632/sp3tg2bs55.1
title: CoaddNet

description: Dataset of paper: CoaddNet: Enhancing Signal-to-Noise Ratio in Single-shot Images using Convolutional Neural Networks with Coadded Image Effect
DOI: 10.17632/vkz52nv6nv.2
title: BROAD TRANSCRIPTIONAL FIRING REPRESSES BACTERICIDAL ACTIVITY IN HUMAN AIRWAY NEUTROPHILS

description: Neutrophils are often considered terminally differentiated and poised for bacterial killing. In chronic diseases such as cystic fibrosis (CF), an unexplained paradox pits massive neutrophil presence against prolonged bacteria infections. Here, we show that neutrophils recruited to CF airways in vivo and in an in vitro transmigration model display rapid and broad transcriptional firing, leading to an upregulation of survival and anabolic genes, and a downregulation of antimicrobial genes. Newly transcribed RNAs are mirrored by the appearance of corresponding proteins, confirming active translation in these cells. Remarkably, treatment by the RNA polymerase II and III inhibitor -amanitin restored expression of key antimicrobial genes, and increased bactericidal capacity of CF airway neutrophils in vitro and in short-term sputum cultures ex vivo. Broadly, our findings show that neutrophil plasticity is regulated at the terminal organ via RNA and protein synthesis, leading to adaptations that profoundly impact their canonical functions (i.e., bacterial clearance).
DOI: 10.17632/4fvv36zwsj.3
title: Modeling and solving the tradeoff between project value and net present value

description: PSPLIB10, MMLIB50 and MMLIB100 datasets used in the experiments. Activities, resource availability and predecessors are in separate files. The datasets are randomly shuffled. 
Experiment results for all the algorithms used in the paper: positive cash flows (experiment 1); positive and negative cash flows (experiment 2).
The data files can be opened with the Pickle library for Python. Data format: Python lists.
DOI: 10.17632/fkpfd5b9n9.5
title: A Brazilian classified dataset for prognosis of tuberculosis

description: Data was collected from the Information System for Notifiable Diseases (from Portuguese, Sistema de Informação de Agravos de Notificação, SINAN-TB) from Brazil, between 2001-01 and 2020-04, and contains information about patients who were diagnosed with tuberculosis. 
We pre-processed the data to build a dataset focusing on the treatment outcomes of tuberculosis, focused on two classes: CURED and DIED. The dataset comprises 37 categorical attributes (sociodemographic, clinical, and laboratory data) plus the target class (SITUA_ENCE).

There are 927,909 patients classified as CURED and 36,190 classified as DIED, totaling 964,099 records of patients with tuberculosis.
DOI: 10.17632/bhvc9w7nvn.2
title: Raw Data: Factors that Influencing the Utilization of Mobile Banking Application Among Customers

description: This research endeavors to identify the influential factors of user-friendly applications, data security, and promotional strategies on the utilization of the BRIMo application among students. Data were gathered from a sample of 120 respondents, predominantly comprising students from state universities (PTN).
DOI: 10.17632/9dbd9jcdvs.2
title: Facebook Audience Insight on Food Choice

description: We collected the data through an online platform by performing a query search on Facebook Audience Insights Interests. The keywords that we use in the question quest are based on the United Nations Food and Agriculture Organisation (FAO) Food Balance Sheet (FBS) which is retrieved from FAOStat in May 2020. The data was gathered between 15 May and 2 July 2020. With a sample size of 100-150 million viewers or about 36.95 per cent-55.43 percent of Indonesia's 2019 population, we limited our sample to Indonesia. The dataset is made up of ten tables that can be separately analyzed. For each table, we carry out exploratory data analysis (EDA) to provide more insights.
DOI: 10.17632/kbpvrwfp5z.1
title: Rotten Tomatoes Movies

description: The objective of this research is to prove or refute the proposition “Do I agree with those who agree with those who agree with me about movies? Do I disagree with those who disagree with those who disagree with me about movies?” by extracting data from the review-aggregation website for film and television Rotten Tomatoes. Thus, using large volumes of available data, it will be possible to construct a graph that represents the relationships between two distinct groups of critics (professional critics and the general public), films and their respective evaluations so that both the global relationships between the groups of critics (and their transitivity) and the dispersion of the scores attributed by each group (a possible degree or indicator of agreement between these evaluations) can be analyzed.
This dataset consists of a set of major motion pictures released in the US collected from 1970 to 2024. For each film, the URL, title, release date, critics rating, and audience rating were captured.
DOI: 10.17632/xpfgrj654d.1
title: Efficacy of Plyometric Warmup Exercises on Aerobic & Anaerobic Capacity in Palestrato Population: A Randomized Clinical Trial.

description: Plyometrics offer various advantages including strength development, speed enhancement, increased power, and improved muscle tone. Numerous studies have supported these benefits. However, further research is needed to explore the cardiovascular effects of plyometrics. This study aims to see the efficacy of a 4 week plyometric warmup exercises on aerobic and anaerobic capacity in gym going individuals.
DOI: 10.17632/n767hz78r7.3
title: Excel VBA codes for "An Efficient Lattice Search Algorithm for the Early Exercise Boundary in American Options"

description: This file provides Excel VBA codes of accelerated CRR binomial models: 1. “CRR_Conventional” model represents a two-dimensional static CRR binomial tree and does not apply any lattice search or acceleration techniques. 2. “CRR_Dynamic” model employs a one-dimensional dynamic tree. 3. “CRR_Dyn_Boundary” model augments the dynamic binomial tree using the intelligent lattice search algorithm. 4. “CRR_Dyn_Bound_Truncation” model is the most accelerated binomial model which comprehensively applies efficient lattice search, dynamic memory and truncation techniques.
DOI: 10.17632/xx67gzxvgs.4
title: Liu et al wtCaCO3% Data Corr 2022

description: This is a compilation and correction exerted on previously circulated sedimentary wtCaCO3% data for the global ocean, with sources presented/declared.
This data file is used as a supplementary information (SI) file for our submitted manuscript to the journal Earth System Science Data.
DOI: 10.17632/2sdvr9v4j6.1
title: Dataset for Brittle and ductile yielding in soft materials

description: Here, we are including the data used in the PNAS paper entitled "Brittle and ductile yielding in soft materials".
DOI: 10.17632/j32xdt2ff5.1
title: tea sickness dataset

description: This tea sickness dataset contains tea leaves showing 7 common diseases of tea: (1) Red leaf spot; (2) Algal leaf
spot; (3) Bird’s eyespot; (4) Gray blight; (5) White spot; (6) Anthracnose; (7) Brown blight. The dataset further contains a class of healthy tea leaves.  Each of the classes contains more than 100 images. The dataset was collected in Johnstone Boiyon farm, Koiwa location, Bomet county from a clone of 1510. It can be used with transfer learning for Machine learning models for predicting sickness in tea.
DOI: 10.17632/8nzj9y2rhm.4
title: Measurement of psoriasis affected area with an artificial neural network: Supplementary Material

description: Supplementary Table 1 shows performance comparison with existing methods. Regardless of methodology used, APD showed the best performance. The detailed method is presented with a table.

Supplementary Figure 1 shows the flow chart of dataset configuration. The data were obtained from 149 patients who visited Seoul St. Mary’s Hospital Dermatology Clinic from 2018 to 2020, and mainly consisted of images of each area division used to calculate PASI score (i.e., trunk, upper extremities, lower extremities). Various plaque psoriasis phenotypes (small plaque, large plaque, regressed lesion), non-psoriatic lesion, and artifacts (e.g., accessories, shadows) were included in the dataset. The 35 excluded images were those of a face or out of focus.
To evenly distribute the patient severities in the training and test sets, the data set was first split into three groups (mild, moderate, severe) by PGA. Random sampling was performed in each group in a 4:1 ratio. To evaluate the PASI area score, inappropriate images for use with the palm method were excluded, resulting in 297 images to determine the performance of the three dermatologists.
With respect to input image, APD determines skin area and psoriatic lesion to calculate the percentage of affected area. “Ground truth” was obtained by manually annotating each lesion margin with agreement between three annotator dermatologists. “Skin inference” was the result of detected skin area by the automated psoriasis detector, and “prediction” was the detection of a psoriatic lesion by the automated psoriasis detector. 

Supplementary Figure 2 shows the flowchart of the APD. The Cascade Mask R-CNN with a Swin Transformer small (Swin-S) backbone, the same model used in APD, was used to determine affected skin area with pretrained weights from the COCO dataset. To calculate skin area precisely, the patient needs to be fully unclothed. Few cases were insufficiently unclothed, leading to imprecise PASI area score and inaccurate percentages of psoriasis-affected area. In such cases, an additional skin detection method (skin color-based thresholding) was applied.

Supplementary Figure 3 shows an example of automated psoriasis detector implementation. Using the input image, APD determines skin area and psoriatic lesion to calculate the percentage of affected area. “APD inference” is the process of determining the presence of a psoriatic lesion by APD. “Skin area inference” is the process of detecting skin area by APD. “Skin area cleansing” involves application of an additional skin detection method (skin color-based thresholding) due to artifacts. “Find the lesion ratio” is the calculation of the percentage of psoriasis affected area versus skin area. Ground truth was obtained by manually annotating each lesion margin with agreement between three annotator dermatologists. APD, Automated psoriasis detector.
DOI: 10.17632/nj92tf9x5r.1
title: Parallel FFT-based Poisson solver for isolated three-dimensional systems

description: Abstract We describe an implementation to solve Poissons equation for an isolated system on a unigrid mesh using FFTs. The method solves the equation globally on mesh blocks distributed across multiple processes on a distributed-memory parallel computer. Test results to demonstrate the convergence and scaling properties of the implementation are presented. The solver is offered to interested users as the library PSPFFT. Title of program: PSPFFT Catalogue Id: AEJK_v1_0 Nature of problem Solving Poisson's equation globally on unigrid mesh distributed across multiple processes on distributed memory system. Versions of this program held in the CPC repository in Mendeley Data AEJK_v1_0; PSPFFT; 10.1016/j.cpc.2011.05.014 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/xxynryvctc.1
title: Ladinokomunita - 500 sample - ladino/djudeoespanyol - Alejandro Acero

description: El corpus empleado para la obtención de las 500 muestras que constituyen el presente estudio son parte de un extenso archivo, en continuo crecimiento, de 53.435 correos electrónicos pertenecientes a la comunidad online “Ladinokomunita” (Amado Bortnick, 1999), un círculo de correspondencia escrita exclusivamente en ladino – djudeospanyol. Esta lista de correo electrónico establecida en diciembre de 1999 cuenta hoy día con más de 1.577 miembros repartidos por todo el mundo. El variado repertorio temático (religión, cultura, política, artes, etc.) y de población, nos permiten encontrar en este corpus patrones lingüísticos que garantizan la obtención de esta muestra representativa de la comunidad sefardí y no solo de una élite privilegiada o un grupo marginal.
DOI: 10.17632/fpdvs2hh2t.1
title: Data for: External reflectance FTIR dataset (4000 - 400 cm-1) for the identification of relevant mineralogical phases forming Cultural Heritage materials

description: The dataset here proposed is composed of over 190 spectra of single crystal specimens (including gem quality ones) and ornamental stones supplied by the Department of Sciences and Technology of the University of Sannio (Benevento, Italy). Additional organic compounds, such as waxes, resins, proteins, commonly used as protective of geomaterials in Cultural Heritage, are also provided in this contribution. All the samples have been analyzed by means of a Bruker Optics Alpha-R portable FTIR spectrometer with an External Reflectance (ER) head for contactless and non-destructive analyses. For further details refer to the paper titled "External reflectance FTIR dataset (4000 - 400 cm-1) for the identification of relevant mineralogical phases forming Cultural Heritage materials" and authored by Izzo et al.