cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29207146.v1
title: Modeling CO<sub>2</sub> solubility in polyethylene glycol polymer using data driven methods

description: The solubility of CO<sub>2</sub> in polyethylene glycol (PEG) polymer is a critical parameter for optimizing its use in various industrial processes, underscoring the need for precise predictive models. In this research, a Random Forest (RF) machine learning model is meticulously tuned through four sophisticated optimization algorithms: Batch Bayesian Optimization (BBO), Self-Adaptive Differential Evolution (SADE), Bayesian Probability Improvement (BPI), and Gaussian Processes Optimization (GPO). The model leverages a dataset of 164 experimental samples, incorporating essential input parameters such as pressure, PEG molar mass, and temperature to predict CO<sub>2</sub> solubility. To prevent overfitting, K-fold cross-validation is applied throughout model training. The efficacy of each optimization method is evaluated using computational runtime and performance metrics, including R-squared (R<sup>2</sup>), mean squared error (MSE), and average absolute relative error (AARE%). Correlation analysis indicates that pressure has a moderate positive relationship with CO<sub>2</sub> solubility (correlation coefficient: 0.58), while PEG molar mass and temperature exhibit weaker associations (0.2 and 0.05, respectively). Among the optimization techniques, RF-BPI proves to be the most effective, delivering superior predictive performance. The results show RF-BPI achieves an R<sup>2</sup> of 0.9625 for the training set and 0.9307 for the test set, surpassing other methods. For benchmarking, a conventional multiple linear regression (LR) model was tested, demonstrating significantly lower accuracy (R<sup>2</sup> notably inferior to RF-BPI’s 0.9307 on the test set). In terms of computational efficiency, BPI records the shortest runtime (63.9 seconds), while SADE is the least efficient, requiring 2370.2 seconds. Sensitivity analysis further clarifies the relative impact of each input variable on CO<sub>2</sub> solubility, affirming the power of data-driven approaches in modeling complex systems. The created models can be seen as promising predictive tools to predict CO2 solubility in PEG in the absence of requiring physical measurements that are often labor-intensive, costly, and laborious.
DOI: 10.6084/m9.figshare.29041243
title: Introducing a new adaptive look-up table subset selection method for leaf chlorophyll and carotenoids retrieval in broadleaved forests

description: Plant functional traits have been extensively studied using remote sensing. In this study, we compared three approaches for retrieving leaf chlorophyll and carotenoid content in the Lanžhot forest, Czech Republic. For the statistical-based approach, we used field data for both training (calibration portion) and validating (test portion) the models. The physical-based approach utilized a large, simulated look-up table as the training dataset. Lastly, we introduced a new hybrid approach, where a subset of the look-up table was selected based on performance on the calibration portion of the field data. All methods were applied to four Harmonised Landsat Sentinel-2 product images across contrasting phenological phases of vegetation growth. Although the statistical-based approach showed the best results, the hybrid approach presents a promising alternative with potential for future improvement.
DOI: 10.6084/m9.figshare.29041243.v1
title: Introducing a new adaptive look-up table subset selection method for leaf chlorophyll and carotenoids retrieval in broadleaved forests

description: Plant functional traits have been extensively studied using remote sensing. In this study, we compared three approaches for retrieving leaf chlorophyll and carotenoid content in the Lanžhot forest, Czech Republic. For the statistical-based approach, we used field data for both training (calibration portion) and validating (test portion) the models. The physical-based approach utilized a large, simulated look-up table as the training dataset. Lastly, we introduced a new hybrid approach, where a subset of the look-up table was selected based on performance on the calibration portion of the field data. All methods were applied to four Harmonised Landsat Sentinel-2 product images across contrasting phenological phases of vegetation growth. Although the statistical-based approach showed the best results, the hybrid approach presents a promising alternative with potential for future improvement.
DOI: 10.6141/tw-srda-e10837-1
title: Experienced Differential Leadership, Proactive Personality, and Work Engagement
DOI: 10.15468/dl.m5kuhj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanolagus Kobyliansky, 1986",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((51.9067 10.3601,51.6539 10.8496,44.9648 10.8496,44.9648 1.8496,45.9851 1.8496,46.3652 2.0796,48.3314 4.1285,49.4027 5.7662,49.6642 6.5145,51.2543 9.1551,51.377 9.8685,51.7452 10.0272,51.9067 10.3601))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014096-250525065834625/datasets/export for details.
DOI: 10.6141/tw-srda-e10863-1
title: Research on College Students' Time Consciousness and Their Academic Engagement: From understanding to intervention
DOI: 10.15468/dl.nby4vv
title: Occurrence Download

description: A dataset containing 4239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Persicaria orientalis (L.) Spach)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4239 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014097-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.warva5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanolagus Kobyliansky, 1986",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-0.0352 19.8496,-9.0352 19.8496,-9.0352 10.8496,-0.0352 10.8496,-0.0352 19.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014098-250525065834625/datasets/export for details.
DOI: 10.6141/tw-srda-e10864-1
title: Factors of Positive Model for Grand Parental Childcare :Well-beings for Three Generations
DOI: 10.6141/tw-srda-e10880-1
title: Evaluating People's Preference and Economic Value for Senior Health Promotion Programs in Kinmen
DOI: 10.5281/zenodo.13748908
title: Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
DOI: 10.5281/zenodo.13760196
title: Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
DOI: 10.5281/zenodo.15569975
title: Baseline characteristic In-Hospital management, and outcomes, of patients admitted with acute myocardial infarction.

description: Abstract Acute myocardial infarction (AMI) remains a leading cause of morbidity and mortality worldwide, with significant variations in patient characteristics, treatment approaches, and outcomes. This article reviews the baseline characteristics, in-hospital management strategies, and clinical outcomes of patients admitted with AMI, drawing on recent studies. We explore demographic and clinical profiles, evidence-based interventions such as percutaneous coronary intervention (PCI) and pharmacological therapies, and factors influencing in-hospital and short-term outcomes. The review highlights disparities in care, including differences by sex, age, and comorbidities, and discusses emerging trends in management, such as the increasing use of primary PCI and novel pharmacotherapies. By synthesizing current evidence, this article aims to guide clinicians and researchers in optimizing AMI care and addressing gaps in outcomes.
DOI: 10.5281/zenodo.15569976
title: Baseline characteristic In-Hospital management, and outcomes, of patients admitted with acute myocardial infarction.

description: Abstract Acute myocardial infarction (AMI) remains a leading cause of morbidity and mortality worldwide, with significant variations in patient characteristics, treatment approaches, and outcomes. This article reviews the baseline characteristics, in-hospital management strategies, and clinical outcomes of patients admitted with AMI, drawing on recent studies. We explore demographic and clinical profiles, evidence-based interventions such as percutaneous coronary intervention (PCI) and pharmacological therapies, and factors influencing in-hospital and short-term outcomes. The review highlights disparities in care, including differences by sex, age, and comorbidities, and discusses emerging trends in management, such as the increasing use of primary PCI and novel pharmacotherapies. By synthesizing current evidence, this article aims to guide clinicians and researchers in optimizing AMI care and addressing gaps in outcomes.
DOI: 10.15468/dl.gxwrp6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanolagus Kobyliansky, 1986",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-1.9734 4.2478,-0.0352 5.0957,-0.0352 10.8496,-9.0352 10.8496,-9.0352 4.4397,-8.4168 4.1049,-7.389 3.8664,-5.7288 4.5489,-4.0108 4.7359,-1.9734 4.2478))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014100-250525065834625/datasets/export for details.
DOI: 10.15468/dl.rtz2p5
title: Occurrence Download

description: A dataset containing 12504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Persicaria perfoliata (L.) H.Gross)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12504 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014099-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6141/tw-srda-e10902-1
title: The nature and application of higher education academic identity: A perspective from doctoral students in Taiwan
DOI: 10.34740/kaggle/dsv/12026695
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.h94eet
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanolagus Kobyliansky, 1986",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-8.8018 33.6743,-9.0352 33.4562,-9.0352 28.8496,-0.0352 28.8496,-0.0352 36.4794,-0.2209 36.3968,-1.3537 36.1876,-1.6551 35.769,-2.0234 35.5842,-2.5138 35.6803,-2.6212 36.2387,-2.9881 36.451,-3.4424 36.249,-3.506 35.7605,-4.4004 35.671,-4.7609 35.8337,-4.8512 36.1709,-5.2296 36.4083,-6.2415 36.1841,-7.168 34.4152,-8.8018 33.6743))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014101-250525065834625/datasets/export for details.
DOI: 10.6141/tw-srda-e10903-1
title: Five-Senses Memorable Dining Experience: Conceptualization and Scale Development
DOI: 10.15468/dl.mhc2qm
title: Occurrence Download

description: A dataset containing 38788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phalaris aquatica L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 38788 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014102-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5689
title: OAB-Exams-numbers-pt
DOI: 10.15468/dl.ezb2eb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanolagus Kobyliansky, 1986",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-0.0352 28.8496,-9.0352 28.8496,-9.0352 19.8496,-0.0352 19.8496,-0.0352 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014103-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jbp7te
title: Occurrence Download

description: A dataset containing 91595 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 Vicia cracca L.",
 "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 91595 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014095-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6141/tw-srda-e10930-1
title: Influencing Factors of Inappropriate Adjustment Among Adults with Intellectual Disability in The Institution: A Follow-Up Study
DOI: 10.5281/zenodo.15252311
title: Multimodal Astronomical Object Classification Dataset

description: Bu veri seti, Sloan Digital Sky Survey (SDSS) DR16 veritabanından elde edilen galaksi gözlemlerinin genişletilmiş bir versiyonunu içermektedir. Galaksilere ait fotometrik ve spektroskopik özellikleri barındırır. Her bir gözlem için sağ açıklık (RA), dik açıklık (Dec), beş optik bantta (u, g, r, i, z) ölçülmüş parlaklık değerleri, kırmızıya kayma (redshift) ve nesne sınıflandırması gibi bilgiler yer almaktadır. Bu veri seti, makine öğrenmesi yöntemleriyle astrofiziksel nesnelerin sınıflandırılmasına yönelik bir akademik çalışmanın parçası olarak oluşturulmuştur. Önceden yayımlanmış olan multimodal galaksi veri setimizin kapsamını genişletmeyi ve sınıflandırma performansını artırmayı hedeflemektedir.

Veri seti CSV formatında olup Python, R veya benzeri veri bilimi ve makine öğrenmesi platformlarında doğrudan kullanılabilir yapıdadır.

Alanlar (Sütunlar):





objID: SDSS nesne kimliği




ra, dec: Gökyüzü koordinatları




u, g, r, i, z: Fotometrik parlaklık değerleri




redshift: Kırmızıya kayma değeri




specObjID: Spektroskopik nesne kimliği




class: Nesne sınıfı (örn. GALAXY)
DOI: 10.5281/zenodo.15252312
title: Multimodal Astronomical Object Classification Dataset

description: Bu veri seti, galaksilerin morfolojik sınıflandırması için oluşturulmuş çok modlu bir astrofiziksel veri koleksiyonudur. Görüntü, spektrum ve zaman serisi olmak üzere üç ayrı veri türü içeren bu yapı; SDSS, ZTF ve diğer açık kaynaklı astronomik arşivlerden derlenmiştir. Her nesne, birden fazla veri modalitesiyle temsil edilmekte ve object_id üzerinden eşleştirilmektedir. Bu veri seti, özellikle makine öğrenmesi ve derin öğrenme tabanlı sınıflandırma çalışmalarına yöneliktir.
DOI: 10.5281/zenodo.15252779
title: Multimodal Astronomical Object Classification Dataset

description: Bu veri seti, her biri üç farklı veri modunda temsil edilen 100 sentetik galaksi örneğinden oluşan çok modlu bir koleksiyondur: gri tonlamalı görseller, spektral veriler ve ışık eğrileri. Veri seti, özellikle çok modlu veri füzyonu bağlamında, makine öğrenmesi teknikleri kullanılarak yapılacak astrofiziksel sınıflandırma görevlerini desteklemeyi amaçlamaktadır.

Her bir galaksi örneği aşağıdaki bileşenleri içerir:- 224x224 çözünürlüğünde gri tonlamalı galaksi görüntüsü (`images/`)- Dalga boyu ve akı içeren spektrum dosyası (`spectra/`)- Zamana bağlı parlaklık değişimini simüle eden ışık eğrisi (`lightcurves/`)- Galaksi sınıfını belirten etiket (`labels.csv`): sarmal (0), eliptik (1), düzensiz (2)- Fiziksel öznitelikler: kırmızıya kayma (z), periyot, akı varyansı (`features.csv`)

Veri seti sınıf dengesi gözetilerek oluşturulmuştur ve araştırma, eğitim ve kıyaslama çalışmaları için uygundur. Her ne kadar veri seti sentetik olarak üretilmiş olsa da, yapısal olarak gerçek galaksi verilerini taklit edecek biçimde modellenmiştir ve çok modlu makine öğrenmesi modellerinin test edilmesi için uygundur.

İlerleyen çalışmalarda bu veri seti, SDSS ve ZTF gibi gözlemsel kataloglardan elde edilen gerçek verilerle genişletilecek; örnek sayısı artırılarak daha yüksek doğrulukta modelleme yapılması hedeflenecektir.

Bu veri setiyle yapılan çalışmalarda lütfen uygun şekilde kaynak gösteriniz.
DOI: 10.5281/zenodo.15569960
title: Multimodal Astronomical Object Classification Dataset

description: Bu veri seti, Sloan Digital Sky Survey (SDSS) DR16 veritabanından elde edilen galaksi gözlemlerinin genişletilmiş bir versiyonunu içermektedir. Galaksilere ait fotometrik ve spektroskopik özellikleri barındırır. Her bir gözlem için sağ açıklık (RA), dik açıklık (Dec), beş optik bantta (u, g, r, i, z) ölçülmüş parlaklık değerleri, kırmızıya kayma (redshift) ve nesne sınıflandırması gibi bilgiler yer almaktadır. Bu veri seti, makine öğrenmesi yöntemleriyle astrofiziksel nesnelerin sınıflandırılmasına yönelik bir akademik çalışmanın parçası olarak oluşturulmuştur. Önceden yayımlanmış olan multimodal galaksi veri setimizin kapsamını genişletmeyi ve sınıflandırma performansını artırmayı hedeflemektedir.

Veri seti CSV formatında olup Python, R veya benzeri veri bilimi ve makine öğrenmesi platformlarında doğrudan kullanılabilir yapıdadır.

Alanlar (Sütunlar):





objID: SDSS nesne kimliği




ra, dec: Gökyüzü koordinatları




u, g, r, i, z: Fotometrik parlaklık değerleri




redshift: Kırmızıya kayma değeri




specObjID: Spektroskopik nesne kimliği




class: Nesne sınıfı (örn. GALAXY)
DOI: 10.15468/dl.m6ezsa
title: Occurrence Download

description: A dataset containing 6311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phellodendron amurense Rupr.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6311 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014104-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4m6f3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanolagus Kobyliansky, 1986",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-9.5482 4.7175,-9.0352 4.4397,-9.0352 10.8496,-16.709 10.8496,-16.3297 10.5455,-15.1301 10.2973,-14.7679 9.8172,-14.3248 9.5834,-14.2456 9.1632,-13.8032 8.9309,-13.7341 8.0101,-13.3252 7.2036,-11.9532 6.6399,-11.0468 5.863,-10.545 5.6439,-9.5482 4.7175))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014105-250525065834625/datasets/export for details.
DOI: 10.6141/tw-srda-e10935-1
title: The New Development and Effect of Taiwan Identity
DOI: 10.15468/dl.ertphb
title: Occurrence Download

description: A dataset containing 29054 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 Vicia hirsuta (L.) Gray",
 "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 29054 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014106-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6141/tw-srda-e11014-1
title: A Study on the Relationship among the Quality of Educational Facilities, Teaching Effectiveness, and Students' Academic Achievements of Junior High Schools
DOI: 10.15468/dl.fx5etb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanolagus Kobyliansky, 1986",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-16.8057 20.1434,-16.8896 19.8496,-9.0352 19.8496,-9.0352 28.8496,-11.635 28.8496,-11.7824 28.7359,-13.29 28.2942,-13.9623 27.0596,-14.8996 26.4375,-15.2884 25.5014,-15.3356 24.99,-16.4235 23.914,-16.8295 22.8081,-17.1762 22.5133,-17.4325 21.9756,-17.6012 20.7987,-17.3601 20.3805,-16.8057 20.1434))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014107-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231662
title: 19th century Hebrew Press Reuse Network

description: This dataset supports a study of textual reuse in the Hebrew-language press between 1856 and 1897—a period during which Jewish communities, dispersed across Europe, the Middle East, and the Americas, created a shared communicative infrastructure through Hebrew newspapers.<br>The dataset includes approximately 130,000 articles drawn from 13 Hebrew-language periodicals, digitally processed and compared using a Hebrew-language plagiarism detection tool (Originality). It identifies over 300,000 instances of sentence-level reuse between articles, with metadata on source and target journals, the number of shared sentences, and time lags. Only reuse between Hebrew texts was analyzed; translations from non-Hebrew sources were excluded.
By mapping these intertextual connections, the project reconstructs a transnational media network that functioned as a global Jewish “town square.” The data enables exploration of editorial behavior, thematic clustering, and the role of journalism in diasporic identity formation.
description: other;