cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18426790
title: ФОРМИРОВАНИЕ КРЕАТИВНЫХ СПОСОБНОСТЕЙ СТУДЕНТОВ ПЕДАГОГИЧЕСКИХ НАПРАВЛЕНИЙ

description: В статье рассматривается проблема формирования креативных способностей студентов педагогических направлений в условиях модернизации системы высшего образования. Обосновывается актуальность развития креативности будущих педагогов как одного из ключевых профессиональных качеств. Анализируются теоретические подходы к понятию «креативность», педагогические условия и методы, способствующие развитию творческого потенциала студентов. Особое внимание уделяется роли инновационных образовательных технологий, активных и интерактивных методов обучения в процессе профессиональной подготовки будущих учителей.
DOI: 10.15468/dl.k4guhw
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cambajuva",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 30 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001384-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18213645
title: GloWS: A Global Large-Sample Watershed Synthesis Dataset Empowering Hydrological Simulation and Future Projection

description: Risk assessment of hydrological extremes as  well as process-based simulation and projection under climate change rely on high-quality watershed datasets. However, existing large-sample hydrology datasets are usually constrained by limited spatial coverage and lack future climate change scenarios at a catchment scale. Here, we introduce a Global Large-Sample Watershed Synthesis dataset (GloWS), which covers 23,029 basins from 24 international, national and sub-national sources. GloWS is generated after rigorous station screening, careful visual inspection by Google Map satellite imagery, extensive calculations based on flow records, and systematical data quality control. This dataset includes metadata (e.g., station locations, watershed polygons and areas, streamflow records length and scores), hydrological indices (e.g., streamflow statistics, drought indexes, flood peaks and volumes), 14 meteorological variables (including precipitation, potential evaporation, air temperature, wind speed, and radiation), land-use and land-cover characteristics (e.g., fractions of urban, cropland and forest areas, and leaf area indices of low and high vegetation), water storage terms (e.g., soil water content and snow water equivalence), and other static attributes (e.g., climate classifications and average Gross Domestic Product). To empower future projections and assess climate change impacts, GloWS also includes nine daily catchment-mean bias-corrected variables from 22 Global Climate Models (GCMs) under the Coupled Model Intercomparison Project Phase 6 (CMIP6). Additionally, we apply skill and independence weighting to generate multi-model ensemble mean scenarios throughout the 21st century.
DOI: 10.5281/zenodo.18213646
title: GloWS: A Global Large-Sample Watershed Synthesis Dataset Empowering Hydrological Simulation and Future Projection

description: Risk assessment of hydrological extremes as  well as process-based simulation and projection under climate change rely on high-quality watershed datasets. However, existing large-sample hydrology datasets are usually constrained by limited spatial coverage and lack future climate change scenarios at a catchment scale. Here, we introduce a Global Large-Sample Watershed Synthesis dataset (GloWS), which covers 23,029 basins from 24 international, national and sub-national sources. GloWS is generated after rigorous station screening, careful visual inspection by Google Map satellite imagery, extensive calculations based on flow records, and systematical data quality control. This dataset includes metadata (e.g., station locations, watershed polygons and areas, streamflow records length and scores), hydrological indices (e.g., streamflow statistics, drought indexes, flood peaks and volumes), 14 meteorological variables (including precipitation, potential evaporation, air temperature, wind speed, and radiation), land-use and land-cover characteristics (e.g., fractions of urban, cropland and forest areas, and leaf area indices of low and high vegetation), water storage terms (e.g., soil water content and snow water equivalence), and other static attributes (e.g., climate classifications and average Gross Domestic Product). To empower future projections and assess climate change impacts, GloWS also includes nine daily catchment-mean bias-corrected variables from 22 Global Climate Models (GCMs) under the Coupled Model Intercomparison Project Phase 6 (CMIP6). Additionally, we apply skill and independence weighting to generate multi-model ensemble mean scenarios throughout the 21st century.
DOI: 10.5281/zenodo.18426792
title: daa9b497c3a247f9cd4e8bde6b5cda892f43315839d01056e98e6a6daa233cda
DOI: 10.5281/zenodo.18426793
title: daa9b497c3a247f9cd4e8bde6b5cda892f43315839d01056e98e6a6daa233cda
DOI: 10.5281/zenodo.18426807
title: MAKTABGACHA YOSHDAGI (5–6 YOSH) BOLALARGA EKOLOGIK TARBIYA BERISHDA XALQ TOPISHMOQLARIDAN FOYDALANISHNING PEDAGOGIK IMKONIYATLARI
DOI: 10.5281/zenodo.18426806
title: MAKTABGACHA YOSHDAGI (5–6 YOSH) BOLALARGA EKOLOGIK TARBIYA BERISHDA XALQ TOPISHMOQLARIDAN FOYDALANISHNING PEDAGOGIK IMKONIYATLARI
DOI: 10.5281/zenodo.18426113
title: Data for 'Peritumoral adipose tissue promotes ferroptosis resistance by 3-Hydroxykynurenine-mediated suppression of ferritinophagy'

description: Single-nucleus RNA sequencing (snRNA-seq) on peritumoral adipose tissue from MC38 iWAT tumors
DOI: 10.5281/zenodo.18426112
title: Data for 'Peritumoral adipose tissue promotes ferroptosis resistance by 3-Hydroxykynurenine-mediated suppression of ferritinophagy'

description: Single-nucleus RNA sequencing (snRNA-seq) on peritumoral adipose tissue from MC38 iWAT tumors
DOI: 10.15468/dl.skpcvp
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colanthelia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 202 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001385-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnbgg8
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didymogonyx",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 79 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001388-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18426820
title: KOGNITIV YETISHMOVCHILIGI MAVJUD O'RTA YOSHLI BEMORLARDA XASTALIKNI KLINIK KECHISHINI O'ZIGA XOSLIGI

description: Demensiya: Insonning kognitiv qobiliyatlarining (xotira, o’ylash, muommolarga yechim topish) pasayishi va shu sababli kunlik faolliklarni buzilishi bilan kechuvchi jarayon. Ushbu kasallik 21-asrda sog’liqni saqlash va ijtimoiy yordam tizimi uchun eng katta global muammolardan biri hisoblanadi. 2021-yilda dunyo bo’ylab 55 million kishi demensiya bilan kasallangan bo’lsa, har yili taxminan 10 million yangi holatlar qayd etilmoqda. Jahon sog’liqni saqlash tashkiloti hisobotiga ko’ra, 2021-yilda Altsgeymer va boshqa demensiya turlari dunyodagi o’lim sabablari ichida 7-o’rinni egallab, 1.8 million kishining hayotiga zomin bo’lgan.
DOI: 10.5281/zenodo.18426821
title: KOGNITIV YETISHMOVCHILIGI MAVJUD O'RTA YOSHLI BEMORLARDA XASTALIKNI KLINIK KECHISHINI O'ZIGA XOSLIGI

description: Demensiya: Insonning kognitiv qobiliyatlarining (xotira, o’ylash, muommolarga yechim topish) pasayishi va shu sababli kunlik faolliklarni buzilishi bilan kechuvchi jarayon. Ushbu kasallik 21-asrda sog’liqni saqlash va ijtimoiy yordam tizimi uchun eng katta global muammolardan biri hisoblanadi. 2021-yilda dunyo bo’ylab 55 million kishi demensiya bilan kasallangan bo’lsa, har yili taxminan 10 million yangi holatlar qayd etilmoqda. Jahon sog’liqni saqlash tashkiloti hisobotiga ko’ra, 2021-yilda Altsgeymer va boshqa demensiya turlari dunyodagi o’lim sabablari ichida 7-o’rinni egallab, 1.8 million kishining hayotiga zomin bo’lgan.
DOI: 10.5281/zenodo.18426850
title: SHARQ VA G'ARB TA'LIM TIZIMLARIDA "MILLIY O'ZLIK" TUSHUNCHASI: O'ZBEKISTON VA YAPONIYA MAKTABGACHA TA'LIMI MISOLIDA QIYOSIY TAHLIL

description:  Mazkur maqolada globallashuv jarayonida maktabgacha yoshdagi bolalarda milliy o‘zlikni shakllantirishning pedagogik xususiyatlari O‘zbekiston va Yaponiya ta’lim tizimlari misolida qiyosiy tahlil qilingan. Tadqiqotda Yaponiyaning "Hoiku" (tarbiya va parvarish) tizimidagi jamoaviylik va axloqiy tarbiya elementlari O‘zbekiston milliy pedagogikasidagi "Odobnoma" va xalq an’analari bilan solishtirilgan. Tahlil natijasida milliy tarbiyani takomillashtirish bo‘yicha ilmiy-amaliy takliflar ishlab chiqilgan.
DOI: 10.5281/zenodo.18426849
title: SHARQ VA G'ARB TA'LIM TIZIMLARIDA "MILLIY O'ZLIK" TUSHUNCHASI: O'ZBEKISTON VA YAPONIYA MAKTABGACHA TA'LIMI MISOLIDA QIYOSIY TAHLIL

description:  Mazkur maqolada globallashuv jarayonida maktabgacha yoshdagi bolalarda milliy o‘zlikni shakllantirishning pedagogik xususiyatlari O‘zbekiston va Yaponiya ta’lim tizimlari misolida qiyosiy tahlil qilingan. Tadqiqotda Yaponiyaning "Hoiku" (tarbiya va parvarish) tizimidagi jamoaviylik va axloqiy tarbiya elementlari O‘zbekiston milliy pedagogikasidagi "Odobnoma" va xalq an’analari bilan solishtirilgan. Tahlil natijasida milliy tarbiyani takomillashtirish bo‘yicha ilmiy-amaliy takliflar ishlab chiqilgan.
DOI: 10.15468/dl.mkwctx
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elytrostachys",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 269 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001389-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18426865
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.5281/zenodo.18365505
title: Supplementary material for Manuscript "Street-scale evidence reveals international aid fails to reach the poorest communities"
DOI: 10.5281/zenodo.18365504
title: Supplementary material for Manuscript "Street-scale evidence reveals international aid fails to reach the poorest communities"
DOI: 10.5281/zenodo.18426613
title: Official Hamiltonian Worldilines Triangle Theory with Constant fine structures (Alex De Giuseppe)

description: My Worldlines Hamiltonian Triangle Theory Evolution 

 

 

 

This manuscript is current in Official Peer Review.

Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved.

This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws.

No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author.

For correspondence, citations, collaboration inquiries, or feedback please contact:degiuseppealex@gmail.com

The hash files that determine ownership have been created

 

 

 



This work presents a comprehensive development of the unified worldline-Hamiltonian framework, extending previous formulations to incorporate the fine-structure constant as an operational scale governing emergent physical processes. The framework provides a coherent description of how fundamental physical laws—gravity, electrodynamics, thermodynamics, and spacetime structure—can be derived from first principles, based on the evolution of causal worldlines and their associated Hamiltonians.

By explicitly connecting microscopic coherence energy to macroscopic phenomena, the approach unifies classical and quantum behaviors within a single operationally grounded model. The manuscript introduces detailed mathematical derivations showing how energy, time, and coherence combine to produce stable orbits, Maxwellian electrodynamics, and thermodynamic irreversibility, demonstrating that these laws emerge naturally from worldline dynamics rather than being imposed externally.

This work also formalizes the concept of an energy-time operational scale, illustrating how phase-preserving reflection, absorption, and pre-emission processes follow directly from fundamental coherence constraints. While experimental confirmation is still underway, the theoretical results establish a novel pathway to understanding the operational foundations of physics, bridging microscopic quantum rules with macroscopic classical regularities.

Overall, this manuscript provides a structured, self-contained account of a framework that offers both predictive power and conceptual unification, suggesting a new perspective on the nature of physical law and the role of coherence in the emergence of observable phenomena.
DOI: 10.5281/zenodo.18426874
title: Official Hamiltonian Worldilines Triangle Theory with Constant fine structures (Alex De Giuseppe)

description: My Worldlines Hamiltonian Triangle Theory Evolution 

 

 

 

This manuscript is current in Official Peer Review.

Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved.

This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws.

No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author.

For correspondence, citations, collaboration inquiries, or feedback please contact:degiuseppealex@gmail.com

The hash files that determine ownership have been created

 

 

 



This work presents a comprehensive development of the unified worldline-Hamiltonian framework, extending previous formulations to incorporate the fine-structure constant as an operational scale governing emergent physical processes. The framework provides a coherent description of how fundamental physical laws—gravity, electrodynamics, thermodynamics, and spacetime structure—can be derived from first principles, based on the evolution of causal worldlines and their associated Hamiltonians.

By explicitly connecting microscopic coherence energy to macroscopic phenomena, the approach unifies classical and quantum behaviors within a single operationally grounded model. The manuscript introduces detailed mathematical derivations showing how energy, time, and coherence combine to produce stable orbits, Maxwellian electrodynamics, and thermodynamic irreversibility, demonstrating that these laws emerge naturally from worldline dynamics rather than being imposed externally.

This work also formalizes the concept of an energy-time operational scale, illustrating how phase-preserving reflection, absorption, and pre-emission processes follow directly from fundamental coherence constraints. While experimental confirmation is still underway, the theoretical results establish a novel pathway to understanding the operational foundations of physics, bridging microscopic quantum rules with macroscopic classical regularities.

Overall, this manuscript provides a structured, self-contained account of a framework that offers both predictive power and conceptual unification, suggesting a new perspective on the nature of physical law and the role of coherence in the emergence of observable phenomena.
DOI: 10.5281/zenodo.18426876
title: AQLLI TIBBIYOT TIZIMLARIDA SUN'IY INTELLEKT YORDAMIDA XAVFSIZ DIAGNOSTIKA MA'LUMOTLARINI QAYTA ISHLASH VA HIMOYA QILISH

description: This study investigates the secure processing and protection of diagnostic data in smart healthcare systems using artificial intelligence (AI) technologies [1, 2, 5]. The research analyzes AI-driven methods for data analysis, anomaly detection, predictive diagnostics, and decision support while ensuring the confidentiality, integrity, and availability of sensitive medical information [3, 4]. Various security mechanisms are evaluated for their effectiveness, including encryption algorithms, anonymization techniques, access control protocols, and blockchain-based solutions [2, 3, 5]. The study emphasizes the importance of integrating AI with robust cybersecurity measures to enhance trust, reliability, and efficiency in smart healthcare services [1, 4]. Practical recommendations are provided for healthcare institutions, software developers, and policymakers to ensure secure and privacy-compliant AI-assisted diagnostics [1, 5].
DOI: 10.5281/zenodo.18426877
title: AQLLI TIBBIYOT TIZIMLARIDA SUN'IY INTELLEKT YORDAMIDA XAVFSIZ DIAGNOSTIKA MA'LUMOTLARINI QAYTA ISHLASH VA HIMOYA QILISH

description: This study investigates the secure processing and protection of diagnostic data in smart healthcare systems using artificial intelligence (AI) technologies [1, 2, 5]. The research analyzes AI-driven methods for data analysis, anomaly detection, predictive diagnostics, and decision support while ensuring the confidentiality, integrity, and availability of sensitive medical information [3, 4]. Various security mechanisms are evaluated for their effectiveness, including encryption algorithms, anonymization techniques, access control protocols, and blockchain-based solutions [2, 3, 5]. The study emphasizes the importance of integrating AI with robust cybersecurity measures to enhance trust, reliability, and efficiency in smart healthcare services [1, 4]. Practical recommendations are provided for healthcare institutions, software developers, and policymakers to ensure secure and privacy-compliant AI-assisted diagnostics [1, 5].
DOI: 10.15468/dl.g97xy4
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Filgueirasia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 103 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001390-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18426885
title: Hamiltonian Worldlines Triangle

description: My Worldlines theory expanded with Hamiltonian

 




Title Idea

A Hamiltonian-Parameterized Formalism for Worldline Selection: Bridging Quantum Coherence and Classical Transport Laws

Description / Abstract

Overview:

This paper introduces a novel physical formalism that redefines the transition from quantum dynamics to classical reality. Unlike standard stochastic approximations, this work demonstrates that the emergence of classical trajectories (worldlines) is a deterministic process governed by the Hamiltonian ($H$) acting as a fundamental selection parameter rather than a mere energy eigenvalue.

Methodology:

We establish a rigorous mathematical bridge between operational dynamics and classical observables. By integrating the momentum-dependent phase shift $\phi(p)$ directly into the worldline action, we derive a self-consistent mechanism for path selection. This approach resolves the "coherence-to-classic" bottleneck without relying on arbitrary decoherence models.

Key Results:





Operational Hamiltonian: A new derivation showing how $H$ parameterizes the evolution of worldlines in a phase-space manifold.




Classical Emergence: The formalism successfully derives established transport laws, including electrical conductivity and optical reflectivity, from first principles.




Momentum Integration: We prove that the phase shift associated with momentum $p$ is the governing factor in the stability of macroscopic worldlines.



Conclusion:

This work offers a significant shift in perspective for theoretical physics, the provided mathematical proofs confirm that this formalism is consistent with current experimental data while providing a more robust ontological foundation for classical dynamics.



 

 

This manuscript is current in Official Peer Review.

Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved.

This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws.

No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author.

For correspondence, citations, collaboration inquiries, or feedback please contact:degiuseppealex@gmail.com

The hash files that determine ownership have been created