cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18158527
title: La Estructura Geométrica de la Materia Mecánica de Génesis, Validación Computacional y Resolución de la Conjetura BSD

description: AVISO LEGAL Y PROTECCION DE AUTOR IA

Derechos de Autor © 2026 Jos´e Caballero Rodr´ıguez.

Este documento constituye una auditor´ıa matem´atica original vinculada al registro ORCID:

0009-0000-6830-624X

Condiciones de Uso:

El contenido se distribuye bajo licencia estricta de propiedad intelectual.

Queda estrictamente prohibida la producci´on de obras derivadas, las ecuaciones creadas,

relacionadas o reformuladas a partir de este n´ucleo te´orico, sin la autorizaci´on expresa y

por escrito del autor.

Cualquier referencia acad´emica a los c´alculos de aqu´ı expuestos debe citar expl´ıcitamente

al autor.

La integridad de las ecuaciones aqu´ı expuestas es inviolable. Cualquier modificaci´on

constituye una infracci´on de los derechos del autor.

Cualquier referencia acad´emica debe citar expl´ıcitamente al autor, el DOI y el enlace al

registro orcid.org/0009-0000-6830-624X

 

 

 

 

Este tratado unifica la física de partículas y la topología matemática bajo la Teoría STIS. Se describe el mecanismo de formación de partículas como un proceso de selección termodinámica en el vacío: la materia estable surge de la “condensación” topológica (1D), mientras que la inestable sufre “cavitación” volumétrica (3D) [cite: 15-16]. Se presenta la versión 12.1 del software de simulación que resuelve la paradoja de los leptones y confirma el colapso hidrodinámico del Quark Top. 

Author: José Caballero Rodríguez. 

Caba.04.12.77@gmail.com 

https://orcid.org/0009-0000-6830-624X
DOI: 10.5281/zenodo.18165622
title: La Estructura Geométrica de la Materia Mecánica de Génesis, Validación Computacional y Resolución de la Conjetura BSD

description: AVISO LEGAL Y PROTECCION DE AUTOR IA

Derechos de Autor © 2026 Jos´e Caballero Rodr´ıguez.

Este documento constituye una auditor´ıa matem´atica original vinculada al registro ORCID:

0009-0000-6830-624X

Condiciones de Uso:

El contenido se distribuye bajo licencia estricta de propiedad intelectual.

Queda estrictamente prohibida la producci´on de obras derivadas, las ecuaciones creadas,

relacionadas o reformuladas a partir de este n´ucleo te´orico, sin la autorizaci´on expresa y

por escrito del autor.

Cualquier referencia acad´emica a los c´alculos de aqu´ı expuestos debe citar expl´ıcitamente

al autor.

La integridad de las ecuaciones aqu´ı expuestas es inviolable. Cualquier modificaci´on

constituye una infracci´on de los derechos del autor.

Cualquier referencia acad´emica debe citar expl´ıcitamente al autor, el DOI y el enlace al

registro orcid.org/0009-0000-6830-624X

 

 

 

 

Este tratado unifica la física de partículas y la topología matemática bajo la Teoría STIS. Se describe el mecanismo de formación de partículas como un proceso de selección termodinámica en el vacío: la materia estable surge de la “condensación” topológica (1D), mientras que la inestable sufre “cavitación” volumétrica (3D) [cite: 15-16]. Se presenta la versión 12.1 del software de simulación que resuelve la paradoja de los leptones y confirma el colapso hidrodinámico del Quark Top. 

Author: José Caballero Rodríguez. 

Caba.04.12.77@gmail.com 

https://orcid.org/0009-0000-6830-624X
DOI: 10.5281/zenodo.18664381
title: IMPROVING THE TECHNOLOGY OF USING INTERACTIVE METHODS IN DEVELOPING STUDENTS' LANGUAGE COMPETENCIES

description: This article examines the role of interactive teaching methods in the development of students’ language competencies. In modern education, the effectiveness of language learning largely depends on the use of innovative pedagogical technologies that promote active participation, critical thinking, and communicative skills. The study analyzes various interactive methods such as group work, role-playing, brainstorming, and problem-based learning, and their impact on improving students’ speaking, listening, reading, and writing abilities. Special attention is given to the methodological principles of organizing interactive lessons and the pedagogical conditions necessary for their effective implementation. The results show that the systematic use of interactive methods increases students’ motivation, enhances their independent thinking, and contributes to the development of communicative competence.
DOI: 10.5281/zenodo.18664380
title: IMPROVING THE TECHNOLOGY OF USING INTERACTIVE METHODS IN DEVELOPING STUDENTS' LANGUAGE COMPETENCIES

description: This article examines the role of interactive teaching methods in the development of students’ language competencies. In modern education, the effectiveness of language learning largely depends on the use of innovative pedagogical technologies that promote active participation, critical thinking, and communicative skills. The study analyzes various interactive methods such as group work, role-playing, brainstorming, and problem-based learning, and their impact on improving students’ speaking, listening, reading, and writing abilities. Special attention is given to the methodological principles of organizing interactive lessons and the pedagogical conditions necessary for their effective implementation. The results show that the systematic use of interactive methods increases students’ motivation, enhances their independent thinking, and contributes to the development of communicative competence.
DOI: 10.5281/zenodo.18155823
title: Dinámica de Chronoflux: La Fórmula de Riemann-Siegel como Solución Hidrodinámica del Flujo Temporal en la Teoría STIS

description: Este artículo presenta una derivación no perturbativa de la fórmula de Riemann-Siegel

dentro del marco de la Teoría STIS. Introducimos el concepto de Chronoflux (Φt), tratando

el tiempo no como una coordenada escalar pasiva, sino como una estructura hidrodinámica

activa cuya viscosidad está determinada por la distribución de los nodos primarios (ceros

de la función Zeta). Reinterpretamos la función Z(t) no como una aproximación analítica,

sino como la descripción exacta de la propagación de ondas de tensión en el vacío. Bajo esta

perspectiva, los términos oscilatorios de la fórmula corresponden a resonancias físicas inducidas por la topología del espinor (K0 = 4), proporcionando una realización hidrodinámica

explícita para la conjetura de Berry-Keating.
DOI: 10.5281/zenodo.18155822
title: Dinámica de Chronoflux: La Fórmula de Riemann-Siegel como Solución Hidrodinámica del Flujo Temporal en la Teoría STIS

description: Este artículo presenta una derivación no perturbativa de la fórmula de Riemann-Siegel

dentro del marco de la Teoría STIS. Introducimos el concepto de Chronoflux (Φt), tratando

el tiempo no como una coordenada escalar pasiva, sino como una estructura hidrodinámica

activa cuya viscosidad está determinada por la distribución de los nodos primarios (ceros

de la función Zeta). Reinterpretamos la función Z(t) no como una aproximación analítica,

sino como la descripción exacta de la propagación de ondas de tensión en el vacío. Bajo esta

perspectiva, los términos oscilatorios de la fórmula corresponden a resonancias físicas inducidas por la topología del espinor (K0 = 4), proporcionando una realización hidrodinámica

explícita para la conjetura de Berry-Keating.
DOI: 10.5281/zenodo.13362658
title: Processed data from "Integrative single-cell multi-omics profiling of human pancreatic islets identifies T1D-associated genes and regulatory signals"

description: Data description

freeze_2024_01_15.qs: Processed Seurat object with snATAC-seq and scRNA-seq data. It requires the qs R package (parallelized version of RDS) to be opened.
DOI: 10.5281/zenodo.13362657
title: Processed data from "Integrative single-cell multi-omics profiling of human pancreatic islets identifies T1D-associated genes and regulatory signals"

description: Data description

freeze_2024_01_15.qs: Processed Seurat object with snATAC-seq and scRNA-seq data. It requires the qs R package (parallelized version of RDS) to be opened.
DOI: 10.15468/dl.5gu2gr
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argyreia mollis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 132 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022765-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqcg2z
title: Occurrence Download

description: A dataset containing 1948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "StateProvince is Bahia",
 "TaxonKey is Distimake"
 ]
}

 The dataset includes 1948 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022764-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e2jxc
title: Occurrence Download

description: A dataset containing 145400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Macro-moth distribution records for the UK from Butterfly Conservation, up to 2019",
 "TaxonKey is Nolidae",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 145400 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022735-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9taw3z
title: Occurrence Download

description: A dataset containing 5638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco peregrinus"
 ]
}

 The dataset includes 5638 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022766-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/xj4cpz
title: Inter-agency Coordination for Rural Power Restoration After A Natural Disaster in the United States: A Qualitative Interview Dataset

description: The dataset is intended to help researchers and policymakers understand the complex, ad hoc collaboration that underpins disaster recovery and to provide qualitative context that complements quantitative analyses of infrastructure resilience.
DOI: 10.5281/zenodo.14708471
title: Complementarity Analysis of Potential Floating Photovoltaics and Exiting Hydropower Assets: Dataset, Matrics, and Optimization Method

description: Introduction

This dataset provides the daily, monthly, and annual complementarity between floating photovoltaics (FPV) and hydropower for select locations in the United States. The metrics used are the stability coefficient and Pearsons coefficient. An optimization using the generic algorithm provides the optimal capacity for theoretical FPV sites to achieve the maximum stability in the combined generation with hydropower.

Prerequisite

https://github.com/DOI-USGS/dataretrieval-pythonhttps://pypi.org/project/pvlib/https://github.com/IdahoLabResearch/HydroGeneratehttps://pypi.org/project/scipy/https://pypi.org/project/geneticalgorithm/

To run the code

To run the code, please unzip "Data.zip" and "Metrics.zip" files to the same root as other jupyter notebooks first. One can follow all jupyter notebooks from 1 to 5 for the whole process of complementarity analysis in the study. That is, 1. determine sites analyzed; 2. fetch USGS discharge data and post-processing the dataset obtained; 3. estimate floating PV and hydropower generation profile for analyzed sites and years; and 5. use generic algorithm (GA) to optimize FPV nameplate capacity by maximizing the stability coefficient. One can also run specific script based on requirement.

All orginal and generated datasets can be also find in "Data (Generateed Files).zip" and "Metrics (Generated Files).zip". 

Authors

Coder: Jingyi Yan (jingyi.yan@inl.gov/jingyi.yan@utdallas.edu)Supervisor: Juan Felipe Gallego Calderon (juan.gallegocalderon@inl.gov)Mucun Sun (mucun.sun@inl.gov)Location: Idaho National Laboratory (INL)Contribution: Tyler B Phillips from Idaho National Laboratory (INL) (tyler.phillips@inl.gov)Carly Hansen from Oak Ridge National Laboratory (ORNL) (hansench@ornl.gov) Marie Rivers (marie.rivers@nrel.gov) and Evan Rosenlieb (evan.rosenlieb@nrel.gov) from National Laboratory of the Rockies (NLR)

Publication

J. Yan, J. Gallego-Calderon, M. Sun, T. Phillips and C. Hansen, "Optimal Complementarity Analysis of Potential Floating Solar Co-Located With Existing Hydropower Assets Across the Contiguous United States," in IEEE Open Access Journal of Power and Energy, vol. 12, pp. 751-762, 2025, doi: 10.1109/OAJPE.2025.3619445.
DOI: 10.5281/zenodo.14708470
title: Complementarity Analysis of Potential Floating Photovoltaics and Exiting Hydropower Assets: Dataset, Matrics, and Optimization Method

description: Introduction

This dataset provides the daily, monthly, and annual complementarity between floating photovoltaics (FPV) and hydropower for select locations in the United States. The metrics used are the stability coefficient and Pearsons coefficient. An optimization using the generic algorithm provides the optimal capacity for theoretical FPV sites to achieve the maximum stability in the combined generation with hydropower.

Prerequisite

https://github.com/DOI-USGS/dataretrieval-pythonhttps://pypi.org/project/pvlib/https://github.com/IdahoLabResearch/HydroGeneratehttps://pypi.org/project/scipy/https://pypi.org/project/geneticalgorithm/

To run the code

To run the code, please unzip "Data.zip" and "Metrics.zip" files to the same root as other jupyter notebooks first. One can follow all jupyter notebooks from 1 to 5 for the whole process of complementarity analysis in the study. That is, 1. determine sites analyzed; 2. fetch USGS discharge data and post-processing the dataset obtained; 3. estimate floating PV and hydropower generation profile for analyzed sites and years; and 5. use generic algorithm (GA) to optimize FPV nameplate capacity by maximizing the stability coefficient. One can also run specific script based on requirement.

All orginal and generated datasets can be also find in "Data (Generateed Files).zip" and "Metrics (Generated Files).zip". 

Authors

Coder: Jingyi Yan (jingyi.yan@inl.gov/jingyi.yan@utdallas.edu)Supervisor: Juan Felipe Gallego Calderon (juan.gallegocalderon@inl.gov)Mucun Sun (mucun.sun@inl.gov)Location: Idaho National Laboratory (INL)Contribution: Tyler B Phillips from Idaho National Laboratory (INL) (tyler.phillips@inl.gov)Carly Hansen from Oak Ridge National Laboratory (ORNL) (hansench@ornl.gov) Marie Rivers (marie.rivers@nrel.gov) and Evan Rosenlieb (evan.rosenlieb@nrel.gov) from National Laboratory of the Rockies (NLR)

Publication

J. Yan, J. Gallego-Calderon, M. Sun, T. Phillips and C. Hansen, "Optimal Complementarity Analysis of Potential Floating Solar Co-Located With Existing Hydropower Assets Across the Contiguous United States," in IEEE Open Access Journal of Power and Energy, vol. 12, pp. 751-762, 2025, doi: 10.1109/OAJPE.2025.3619445.
DOI: 10.5281/zenodo.18664393
title: BINOCULAR AND MONOCULAR DIPLOPIA: DIFFERENTIAL DIAGNOSIS

description: Diplopia, commonly referred to as double vision, is a clinical manifestation that may arise from a variety of ocular, neuromuscular, and neurological disorders. The condition is classified into monocular and binocular diplopia, each with distinct etiologies and clinical implications. Monocular diplopia occurs when double vision persists in one eye, typically resulting from refractive errors, lens abnormalities, corneal irregularities, or tear film instability. Binocular diplopia arises from misalignment of both eyes, often associated with cranial nerve dysfunction, extraocular muscle disorders, systemic neuromuscular conditions, or central nervous system pathology. Accurate differentiation between monocular and binocular diplopia is critical for identifying potentially life-threatening conditions, guiding diagnostic evaluation, and determining appropriate management strategies.

This article reviews the current understanding of the etiological spectrum, clinical presentations, and diagnostic approaches for both monocular and binocular diplopia. Emphasis is placed on structured clinical assessment, including detailed history-taking, ophthalmological examination, neurological evaluation, laboratory studies, and imaging modalities. The importance of distinguishing between benign ocular causes and serious systemic or neurological disorders is highlighted.

Furthermore, the review synthesizes evidence from recent peer-reviewed studies and clinical guidelines to provide a comprehensive framework for differential diagnosis. It discusses common causes such as refractive errors, cataracts, cranial nerve III, IV, and VI palsies, myasthenia gravis, thyroid eye disease, and central lesions including stroke and tumors. Pediatric considerations, including congenital strabismus and amblyopia, are also examined.

By integrating findings from multiple sources, this review aims to enhance clinicians’ ability to accurately classify and manage diplopia. A structured approach ensures early detection of serious pathology, reduces the risk of misdiagnosis, and guides targeted treatment to improve visual function and patient quality of life.
DOI: 10.5281/zenodo.18664394
title: BINOCULAR AND MONOCULAR DIPLOPIA: DIFFERENTIAL DIAGNOSIS

description: Diplopia, commonly referred to as double vision, is a clinical manifestation that may arise from a variety of ocular, neuromuscular, and neurological disorders. The condition is classified into monocular and binocular diplopia, each with distinct etiologies and clinical implications. Monocular diplopia occurs when double vision persists in one eye, typically resulting from refractive errors, lens abnormalities, corneal irregularities, or tear film instability. Binocular diplopia arises from misalignment of both eyes, often associated with cranial nerve dysfunction, extraocular muscle disorders, systemic neuromuscular conditions, or central nervous system pathology. Accurate differentiation between monocular and binocular diplopia is critical for identifying potentially life-threatening conditions, guiding diagnostic evaluation, and determining appropriate management strategies.

This article reviews the current understanding of the etiological spectrum, clinical presentations, and diagnostic approaches for both monocular and binocular diplopia. Emphasis is placed on structured clinical assessment, including detailed history-taking, ophthalmological examination, neurological evaluation, laboratory studies, and imaging modalities. The importance of distinguishing between benign ocular causes and serious systemic or neurological disorders is highlighted.

Furthermore, the review synthesizes evidence from recent peer-reviewed studies and clinical guidelines to provide a comprehensive framework for differential diagnosis. It discusses common causes such as refractive errors, cataracts, cranial nerve III, IV, and VI palsies, myasthenia gravis, thyroid eye disease, and central lesions including stroke and tumors. Pediatric considerations, including congenital strabismus and amblyopia, are also examined.

By integrating findings from multiple sources, this review aims to enhance clinicians’ ability to accurately classify and manage diplopia. A structured approach ensures early detection of serious pathology, reduces the risk of misdiagnosis, and guides targeted treatment to improve visual function and patient quality of life.
DOI: 10.34740/kaggle/ds/4546781
title: Thermal Solar PV Anomaly Detection Dataset
DOI: 10.6084/m9.figshare.30530657
title: Interior's Contributions - white paper and data

description: To further our mission to build a strong Interior for current and future generations, Next Interior started pulling together open data into a tool so that anyone—everyone—can see where and how the US Department of the Interior serves the American people.<i>Interior’s Contributions (beta)</i> is a web app (for desktops and tablets) and library of fact sheets providing basic information and statistics relevant to the US Department of the Interior, available by state and congressional district (CD). This includes information about the lands managed by Interior and its bureaus; the economic contributions from our national parks and public lands (as available); and key offices and resources that people depend on, such as dams and Bureau of Indian Education schools. Users can select states or CDs to get tailored statistics, click on map features to get basic information about features, and download brief fact sheets for ready printing and sharing.This repository includes the data underlying the app as well as the paper explaining the origin and use of the tool.
DOI: 10.6084/m9.figshare.30530657.v1
title: Interior's Contributions data

description: To further our mission to build a strong Interior for current and future generations, Next Interior started pulling together open data into a tool so that anyone—everyone—can see where and how the US Department of the Interior serves the American people.<i>Interior’s Contributions (beta)</i> is a web app (for desktops and tablets) and library of fact sheets providing basic information and statistics relevant to the US Department of the Interior, available by state and congressional district (CD). This includes information about the lands managed by Interior and its bureaus; the economic contributions from our national parks and public lands (as available); and key offices and resources that people depend on, such as dams and Bureau of Indian Education schools. Users can select states or CDs to get tailored statistics, click on map features to get basic information about features, and download brief fact sheets for ready printing and sharing.
DOI: 10.6084/m9.figshare.30530657.v2
title: Interior's Contributions - white paper and data

description: To further our mission to build a strong Interior for current and future generations, Next Interior started pulling together open data into a tool so that anyone—everyone—can see where and how the US Department of the Interior serves the American people.<i>Interior’s Contributions (beta)</i> is a web app (for desktops and tablets) and library of fact sheets providing basic information and statistics relevant to the US Department of the Interior, available by state and congressional district (CD). This includes information about the lands managed by Interior and its bureaus; the economic contributions from our national parks and public lands (as available); and key offices and resources that people depend on, such as dams and Bureau of Indian Education schools. Users can select states or CDs to get tailored statistics, click on map features to get basic information about features, and download brief fact sheets for ready printing and sharing.This repository includes the data underlying the app as well as the paper explaining the origin and use of the tool.