cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14175531
title: SAUUHUPP Networked Periodic Table Based Explorations and Applications

description: Dear Zenodo Visitors,

 

Welcome to the repository dedicated to the SAUUHUPP-Based Networked Periodic Table, a pioneering exploration of the universe through a computational and interconnected model. This repository represents a new framework where the periodic table is viewed not merely as a static list of elements but as a dynamic, networked system integral to a larger self-aware universe. At the heart of this model lies the SAUUHUPP framework—Self-Aware Universe in Universal Harmony over Universal Pixel Processing—which approaches the universe as an adaptive, computational structure composed of layers and interactions across scales.

 

SAUUHUPP and the Networked Periodic Table combine principles of quantum mechanics, entanglement, fractal geometry, and layered networks. Each element within the periodic table can be seen as a node in this universal network, with inherent connections to other elements, molecules, biological systems, ecosystems, and even cosmic structures. This networked perspective unlocks a deeper understanding of how matter, energy, and information are harmoniously entangled and recursively interact across layers of reality.

 

In this repository, you’ll find resources, papers, and ongoing studies that explore the applications and implications of this model:

 

• Theoretical Papers that outline the conceptual foundation of SAUUHUPP and how it transforms our view of elemental and molecular interactions.

• Empirical Studies validating SAUUHUPP principles, including the nested addressing system and the network dynamics across scales.

• Data and Tools that enable researchers to map elements, compounds, and biological processes within the SAUUHUPP framework, fostering new connections across scientific domains.

• Use Cases that demonstrate real-world applications, from AI-based molecular design to ecological sustainability models, all rooted in the networked interactions among elements.

 

Our ultimate goal is to encourage researchers and enthusiasts to explore how the Networked Periodic Table, with SAUUHUPP at its core, can reshape fields from quantum chemistry and biology to environmental science and cosmology. By recognizing the periodic table as a foundational network within a universal computational system, we aim to bridge scientific disciplines, stimulate new discoveries, and promote a holistic understanding of the universe.

 

We invite you to join us in this journey. Whether you are here to contribute insights, conduct research, or simply learn, we hope you find this repository a valuable resource and an inspiring perspective on the interconnectedness of our universe. Your engagement and feedback are invaluable as we develop and expand this vision.

 

Thank you for visiting, and welcome to the SAUUHUPP community.

 

Warm regards,

Prudencio Méndez and the SAUUHUPP Research Team
DOI: 10.5281/zenodo.14175584
title: SAUUHUPP Networked Periodic Table Based Explorations and Applications

description: Dear Zenodo Visitors,

 

Welcome to the repository dedicated to the SAUUHUPP-Based Networked Periodic Table, a pioneering exploration of the universe through a computational and interconnected model. This repository represents a new framework where the periodic table is viewed not merely as a static list of elements but as a dynamic, networked system integral to a larger self-aware universe. At the heart of this model lies the SAUUHUPP framework—Self-Aware Universe in Universal Harmony over Universal Pixel Processing—which approaches the universe as an adaptive, computational structure composed of layers and interactions across scales.

 

SAUUHUPP and the Networked Periodic Table combine principles of quantum mechanics, entanglement, fractal geometry, and layered networks. Each element within the periodic table can be seen as a node in this universal network, with inherent connections to other elements, molecules, biological systems, ecosystems, and even cosmic structures. This networked perspective unlocks a deeper understanding of how matter, energy, and information are harmoniously entangled and recursively interact across layers of reality.

 

In this repository, you’ll find resources, papers, and ongoing studies that explore the applications and implications of this model:

 

• Theoretical Papers that outline the conceptual foundation of SAUUHUPP and how it transforms our view of elemental and molecular interactions.

• Empirical Studies validating SAUUHUPP principles, including the nested addressing system and the network dynamics across scales.

• Data and Tools that enable researchers to map elements, compounds, and biological processes within the SAUUHUPP framework, fostering new connections across scientific domains.

• Use Cases that demonstrate real-world applications, from AI-based molecular design to ecological sustainability models, all rooted in the networked interactions among elements.

 

Our ultimate goal is to encourage researchers and enthusiasts to explore how the Networked Periodic Table, with SAUUHUPP at its core, can reshape fields from quantum chemistry and biology to environmental science and cosmology. By recognizing the periodic table as a foundational network within a universal computational system, we aim to bridge scientific disciplines, stimulate new discoveries, and promote a holistic understanding of the universe.

 

We invite you to join us in this journey. Whether you are here to contribute insights, conduct research, or simply learn, we hope you find this repository a valuable resource and an inspiring perspective on the interconnectedness of our universe. Your engagement and feedback are invaluable as we develop and expand this vision.

 

Thank you for visiting, and welcome to the SAUUHUPP community.

 

Warm regards,

Prudencio Méndez and the SAUUHUPP Research Team
DOI: 10.5281/zenodo.13941051
title: SAUUHUPP Networked Periodic Table Based Explorations and Applications

description: Dear Zenodo Visitors,

 

Welcome to the repository dedicated to the SAUUHUPP-Based Networked Periodic Table, a pioneering exploration of the universe through a computational and interconnected model. This repository represents a new framework where the periodic table is viewed not merely as a static list of elements but as a dynamic, networked system integral to a larger self-aware universe. At the heart of this model lies the SAUUHUPP framework—Self-Aware Universe in Universal Harmony over Universal Pixel Processing—which approaches the universe as an adaptive, computational structure composed of layers and interactions across scales.

 

SAUUHUPP and the Networked Periodic Table combine principles of quantum mechanics, entanglement, fractal geometry, and layered networks. Each element within the periodic table can be seen as a node in this universal network, with inherent connections to other elements, molecules, biological systems, ecosystems, and even cosmic structures. This networked perspective unlocks a deeper understanding of how matter, energy, and information are harmoniously entangled and recursively interact across layers of reality.

 

In this repository, you’ll find resources, papers, and ongoing studies that explore the applications and implications of this model:

 

• Theoretical Papers that outline the conceptual foundation of SAUUHUPP and how it transforms our view of elemental and molecular interactions.

• Empirical Studies validating SAUUHUPP principles, including the nested addressing system and the network dynamics across scales.

• Data and Tools that enable researchers to map elements, compounds, and biological processes within the SAUUHUPP framework, fostering new connections across scientific domains.

• Use Cases that demonstrate real-world applications, from AI-based molecular design to ecological sustainability models, all rooted in the networked interactions among elements.

 

Our ultimate goal is to encourage researchers and enthusiasts to explore how the Networked Periodic Table, with SAUUHUPP at its core, can reshape fields from quantum chemistry and biology to environmental science and cosmology. By recognizing the periodic table as a foundational network within a universal computational system, we aim to bridge scientific disciplines, stimulate new discoveries, and promote a holistic understanding of the universe.

 

We invite you to join us in this journey. Whether you are here to contribute insights, conduct research, or simply learn, we hope you find this repository a valuable resource and an inspiring perspective on the interconnectedness of our universe. Your engagement and feedback are invaluable as we develop and expand this vision.

 

Thank you for visiting, and welcome to the SAUUHUPP community.

 

Warm regards,

Prudencio Méndez and the SAUUHUPP Research Team
DOI: 10.5281/zenodo.14193045
title: SAUUHUPP Networked Periodic Table Based Explorations and Applications

description: Dear Zenodo Visitors,

 

Welcome to the repository dedicated to the SAUUHUPP-Based Networked Periodic Table, a pioneering exploration of the universe through a computational and interconnected model. This repository represents a new framework where the periodic table is viewed not merely as a static list of elements but as a dynamic, networked system integral to a larger self-aware universe. At the heart of this model lies the SAUUHUPP framework—Self-Aware Universe in Universal Harmony over Universal Pixel Processing—which approaches the universe as an adaptive, computational structure composed of layers and interactions across scales.

 

SAUUHUPP and the Networked Periodic Table combine principles of quantum mechanics, entanglement, fractal geometry, and layered networks. Each element within the periodic table can be seen as a node in this universal network, with inherent connections to other elements, molecules, biological systems, ecosystems, and even cosmic structures. This networked perspective unlocks a deeper understanding of how matter, energy, and information are harmoniously entangled and recursively interact across layers of reality.

 

In this repository, you’ll find resources, papers, and ongoing studies that explore the applications and implications of this model:

 

• Theoretical Papers that outline the conceptual foundation of SAUUHUPP and how it transforms our view of elemental and molecular interactions.

• Empirical Studies validating SAUUHUPP principles, including the nested addressing system and the network dynamics across scales.

• Data and Tools that enable researchers to map elements, compounds, and biological processes within the SAUUHUPP framework, fostering new connections across scientific domains.

• Use Cases that demonstrate real-world applications, from AI-based molecular design to ecological sustainability models, all rooted in the networked interactions among elements.

 

Our ultimate goal is to encourage researchers and enthusiasts to explore how the Networked Periodic Table, with SAUUHUPP at its core, can reshape fields from quantum chemistry and biology to environmental science and cosmology. By recognizing the periodic table as a foundational network within a universal computational system, we aim to bridge scientific disciplines, stimulate new discoveries, and promote a holistic understanding of the universe.

 

We invite you to join us in this journey. Whether you are here to contribute insights, conduct research, or simply learn, we hope you find this repository a valuable resource and an inspiring perspective on the interconnectedness of our universe. Your engagement and feedback are invaluable as we develop and expand this vision.

 

Thank you for visiting, and welcome to the SAUUHUPP community.

 

Warm regards,

Prudencio Méndez and the SAUUHUPP Research Team
DOI: 10.5281/zenodo.14193064
title: ПОЛУЧЕНИЕ БРИКЕТОВ С ИСПОЛЬЗОВАНИЕМ СВЯЗУЮЩИХ ИЗ МЕСТНОГО СЫРЬЯ И ОТХОДОВ.
DOI: 10.5281/zenodo.14193065
title: ПОЛУЧЕНИЕ БРИКЕТОВ С ИСПОЛЬЗОВАНИЕМ СВЯЗУЮЩИХ ИЗ МЕСТНОГО СЫРЬЯ И ОТХОДОВ.
DOI: 10.5281/zenodo.14193068
title: ATRANORINNING SITOTOKSIK FAOLLIGINI O'RGANISH
DOI: 10.5281/zenodo.14193069
title: ATRANORINNING SITOTOKSIK FAOLLIGINI O'RGANISH
DOI: 10.5281/zenodo.14192969
title: CommRad RF: A dataset of communication radio signals for detection, identification and classification

description: In today’s world, data is one of the most valuable resources. It’s now easier than ever to collect millions of radio frequency (RF) signals, both well-known and unusual. With such a large amount of data, researchers can create advanced deep learning techniques. This dataset focuses on baseband signals from communication radios. It includes RF signals captured from 27 different radios, using various frequencies and recorded in different environments. Altogether, there are over 2,700 signals in this collection. The signals were captured using an RF receiver that automatically detects and records signals until they disappear. To organize these signals into a library, the receiver was connected to a laptop, which processed and saved the unique RF fingerprints from different devices.
DOI: 10.5281/zenodo.14192970
title: CommRad RF: A dataset of communication radio signals for detection, identification and classification

description: In today’s world, data is one of the most valuable resources. It’s now easier than ever to collect millions of radio frequency (RF) signals, both well-known and unusual. With such a large amount of data, researchers can create advanced deep learning techniques. This dataset focuses on baseband signals from communication radios. It includes RF signals captured from 27 different radios, using various frequencies and recorded in different environments. Altogether, there are over 2,700 signals in this collection. The signals were captured using an RF receiver that automatically detects and records signals until they disappear. To organize these signals into a library, the receiver was connected to a laptop, which processed and saved the unique RF fingerprints from different devices.
DOI: 10.5281/zenodo.14193086
title: OBTAINING ENVIRONMENTALLY FRIENDLY COMPOSITE MATERIALS USING LOCAL RAW MATERIALS
DOI: 10.5281/zenodo.14193087
title: OBTAINING ENVIRONMENTALLY FRIENDLY COMPOSITE MATERIALS USING LOCAL RAW MATERIALS
DOI: 10.5281/zenodo.14192251
title: Beyond sexual maturity: Importance of dietary changes in venom variation in Vipera ammodytes

description: This study explores venom variation in the nose-horned viper (Vipera ammodytes) across different body sizes, examining its relationship with dietary shifts and reproductive status.

This data set includes MALDI-TOF-MS data from 40 crude V. ammodytes venoms (folder Lakusic_et_al_MALDI_data.zip)

Used instrument: MALDI-ToF/ToF mass spectrometer (ultrafleXtreme, Bruker Daltonics, Bremen, Germany)
DOI: 10.5281/zenodo.14192252
title: Beyond sexual maturity: Importance of dietary changes in venom variation in Vipera ammodytes

description: This study explores venom variation in the nose-horned viper (Vipera ammodytes) across different body sizes, examining its relationship with dietary shifts and reproductive status.

This data set includes MALDI-TOF-MS data from 40 crude V. ammodytes venoms (folder Lakusic_et_al_MALDI_data.zip)

Used instrument: MALDI-ToF/ToF mass spectrometer (ultrafleXtreme, Bruker Daltonics, Bremen, Germany)
DOI: 10.5281/zenodo.14193102
title: USE OF NEW CARBON CLUSTER FULLERENES AS ANTIOXIDANTS IN PROTEIN STORAGE COMPOUNDS USED IN STROKE PREVENTION
DOI: 10.5281/zenodo.14193103
title: USE OF NEW CARBON CLUSTER FULLERENES AS ANTIOXIDANTS IN PROTEIN STORAGE COMPOUNDS USED IN STROKE PREVENTION
DOI: 10.15468/dl.v6rg3v
title: Occurrence Download

description: A dataset containing 7913311 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Italy"
 ]
}

 The dataset includes 7913311 records from 2385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023975-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17242136
title: Human Heat Tolerance Limits under Extreme Humid Heat

description: The data contain R code and data inputs that can determine the enviornmental compensability in the paper "Human Heat Tolerance Limits under Extreme Humid Heat" authored by Wang et al. (2025).

For questions related to the paper and data outputs, please contact Prof. Dr. Faming Wang faming.wang@xust.edu.cn.
DOI: 10.5281/zenodo.17242137
title: Human Heat Tolerance Limits under Extreme Humid Heat

description: The data contain R code and data inputs that can determine the enviornmental compensability in the paper "Human Heat Tolerance Limits under Extreme Humid Heat" authored by Wang et al. (2025).

For questions related to the paper and data outputs, please contact Prof. Dr. Faming Wang faming.wang@xust.edu.cn.
DOI: 10.15156/bio/sh0197324.10fu
title: SH0197324.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0197325.10fu
title: SH0197325.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0197326.10fu
title: SH0197326.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0197327.10fu
title: SH0197327.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0197328.10fu
title: SH0197328.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0197329.10fu
title: SH0197329.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.