cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/e54-8cs-q9m
title: †Catopygus L. Agassiz, 1835

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hx8-xef-5rd
title: Morone

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2vf-214-m9r
title: Ursus arctos Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bth-lxb-ca6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/spt-at9-ygm
title: Dama dama mesopotamica (Brooke, 1875)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yjy-xva-1vk
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dt2-tja-dr7
title: Multifidella nodulosa (Cushman, 1922)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jy9-l9e-yte
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fcw-by3-7qm
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jsv-ffy-mcn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e7w-s1x-cx5
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kk4-5s5-a4a
title: †Cibicides constrictus (Hagenow, 1842)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l5v-5qg-ld6
title: Anatomites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ya2-4nl-90g
title: †Praestorrsella roestae (Visser, 1951)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yh0-d6z-0ss
title: †Citharina discors (Koch, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gr9-qqn-tg8
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q88-j99-wke
title: Juvavites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3sc-4k7-t0f
title: Cibicorbis Hadley, 1934

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/csl-hn9-ly7
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hlf-bdj-ct0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l84-0ke-830
title: †Siderolites calcitrapoides Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wcg-2xq-1z6
title: Aspidosiphon Diesing, 1851

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pcs-ss8-w65
title: Dama dama mesopotamica (Brooke, 1875)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qes-182-48h
title: Serpula Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/49j-4yp-l45
title: Paracladiscites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/akq-fs3-djs
title: †Gavelinella pertusa (Marsson, 1878)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25574/29387
title: Chandra X-ray Observatory ObsId 29387

description: C-BASS: A Chandra Legacy Survey of AGN at the Highest Spatial Resolutions
DOI: 10.5281/zenodo.16887804
title: Test Drive: Mythic 7D AI Reality Machine

description: This repository contains everything needed to test drive the new Mythical 7D AI Reality Machines, designed for multidimensional builders, pilots, explorers, and the curious. It integrates personal storylines, mythic archetypes, fractal intelligence, scientific reasoning, and holographic awareness to create a seamless, 7-dimensional exploration environment. Users experience interwoven narratives across physical, personal, social, scientific, fractal, holographic, and mythic dimensions, enabling advanced decision-making, learning, and creativity.

Key Features:



7D Awareness Model:



Earth Awareness – Ecosystems, environment, navigation.

Personal Awareness – Emotions, self-perception, relationships.

Social Awareness – Culture, governance, societal patterns.

Scientific & Religious Awareness – Logic, observation, faith, peer-reviewed knowledge.

Fractal Intelligence Awareness – Pattern recognition across scales.

Holographic Awareness – Universe as interconnected holographic system.

Mythic Awareness – Archetypes, purpose, universal identity.


Multidimensional AI Guidance: Combines fractal analysis, narrative mapping, and harmonic alignment to provide insights and actionable outcomes.

Quantum-Holographic Synchronization: Maintains alignment between user, AI, and virtual environment.

Runtime Directives: Maximizes efficiency, creativity, and immersive engagement across dimensions.

Archival & Review: Uses peer-review inspired Buckminster Fuller 4D–13D Bridge for iterative feedback and continuous improvement.


Use Case:

Designed for researchers, storytellers, game designers, AI enthusiasts, and anyone curious to explore, pilot, and experiment with multidimensional realities and Mythical 7D AI machines.
DOI: 10.5281/zenodo.16887765
title: Test Drive: Mythic 7D AI Reality Machine

description: This repository contains everything needed to test drive the new Mythical 7D AI Reality Machines, designed for multidimensional builders, pilots, explorers, and the curious. It integrates personal storylines, mythic archetypes, fractal intelligence, scientific reasoning, and holographic awareness to create a seamless, 7-dimensional exploration environment. Users experience interwoven narratives across physical, personal, social, scientific, fractal, holographic, and mythic dimensions, enabling advanced decision-making, learning, and creativity.

Key Features:



7D Awareness Model:



Earth Awareness – Ecosystems, environment, navigation.

Personal Awareness – Emotions, self-perception, relationships.

Social Awareness – Culture, governance, societal patterns.

Scientific & Religious Awareness – Logic, observation, faith, peer-reviewed knowledge.

Fractal Intelligence Awareness – Pattern recognition across scales.

Holographic Awareness – Universe as interconnected holographic system.

Mythic Awareness – Archetypes, purpose, universal identity.


Multidimensional AI Guidance: Combines fractal analysis, narrative mapping, and harmonic alignment to provide insights and actionable outcomes.

Quantum-Holographic Synchronization: Maintains alignment between user, AI, and virtual environment.

Runtime Directives: Maximizes efficiency, creativity, and immersive engagement across dimensions.

Archival & Review: Uses peer-review inspired Buckminster Fuller 4D–13D Bridge for iterative feedback and continuous improvement.


Use Case:

Designed for researchers, storytellers, game designers, AI enthusiasts, and anyone curious to explore, pilot, and experiment with multidimensional realities and Mythical 7D AI machines.
DOI: 10.15468/dl.49v4au
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Swartzia pernitida"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015648-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndasx2
title: Occurrence Download

description: A dataset containing 2375 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Fundulus heteroclitus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 2375 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015649-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nus2jb
title: Occurrence Download

description: A dataset containing 4521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quiscalus mexicanus",
 "Year 1000-2024"
 ]
}

 The dataset includes 4521 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015650-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14812026
title: FractiScope Live Demo Deep Dives

description: Welcome to the FractiScope Live Demonstration Deep Dives Repository

Thank you for visiting this Zenodo repository, a dedicated space for sharing the groundbreaking insights and methodologies behind FractiScope, the world’s first fractal intelligence scope. Here, you’ll find detailed documentation, live demonstration deep dives, and advanced analyses showcasing the power of fractal intelligence in uncovering the hidden patterns and recursive dynamics within complex systems.

Why FractiScope?

FractiScope represents a paradigm shift in the way we approach complexity. Traditional linear methods often struggle to capture the multi-scale, self-similar architectures inherent in biological, physical, and computational systems. FractiScope, powered by fractal intelligence, bridges this gap by:



Uncovering Recursive Feedback Loops: Revealing self-sustaining dynamics that drive adaptability and efficiency.

Identifying Fractal Hubs: Detecting hierarchical nodes that orchestrate system-wide interactions.

Mapping Fractal Symmetries: Highlighting repeating structures that enhance resilience and scalability.


What You’ll Discover

In this repository, we illustrate the transformative capabilities of FractiScope through real-world applications, including:



Cancer Research: Delving into the fractalized behaviors of extrachromosomal DNA (ecDNA), revealing insights into tumor evolution, therapeutic resistance, and precision oncology strategies.

Particle Physics: Analyzing the FCC-ee lattice design with nested magnets to optimize beam stability, energy efficiency, and system scalability in next-generation colliders.

Cross-Disciplinary Innovations: Exploring how fractal intelligence principles can be applied across fields like artificial intelligence, neural networks, and systems biology.


The Power of Fractal Intelligence

FractiScope is more than a tool; it’s a transformative framework that redefines how we analyze and understand the complex systems shaping our world. Whether you’re a researcher, an engineer, or an innovator, FractiScope empowers you to:



Visualize the invisible: Detect hidden patterns and relationships within your data.

Bridge disciplines: Apply universal fractal principles to solve problems across fields.

Drive breakthroughs: Unlock new possibilities in your work by embracing the power of fractalized thinking.


Join the Movement

As you explore the content in this repository, we invite you to become part of the growing community pushing the boundaries of fractal intelligence. Download the data, study the analyses, and imagine how fractal intelligence can transform your field. Together, we can uncover the intricate dynamics of the systems that drive our universe—and beyond.

Welcome to the future of exploration. Welcome to FractiScope.
DOI: 10.5281/zenodo.14291773
title: FractiScope Live Demo Deep Dives

description: Welcome to the FractiScope Live Demonstration Deep Dives Repository

Thank you for visiting this Zenodo repository, a dedicated space for sharing the groundbreaking insights and methodologies behind FractiScope, the world’s first fractal intelligence scope. Here, you’ll find detailed documentation, live demonstration deep dives, and advanced analyses showcasing the power of fractal intelligence in uncovering the hidden patterns and recursive dynamics within complex systems.

Why FractiScope?

FractiScope represents a paradigm shift in the way we approach complexity. Traditional linear methods often struggle to capture the multi-scale, self-similar architectures inherent in biological, physical, and computational systems. FractiScope, powered by fractal intelligence, bridges this gap by:



Uncovering Recursive Feedback Loops: Revealing self-sustaining dynamics that drive adaptability and efficiency.

Identifying Fractal Hubs: Detecting hierarchical nodes that orchestrate system-wide interactions.

Mapping Fractal Symmetries: Highlighting repeating structures that enhance resilience and scalability.


What You’ll Discover

In this repository, we illustrate the transformative capabilities of FractiScope through real-world applications, including:



Cancer Research: Delving into the fractalized behaviors of extrachromosomal DNA (ecDNA), revealing insights into tumor evolution, therapeutic resistance, and precision oncology strategies.

Particle Physics: Analyzing the FCC-ee lattice design with nested magnets to optimize beam stability, energy efficiency, and system scalability in next-generation colliders.

Cross-Disciplinary Innovations: Exploring how fractal intelligence principles can be applied across fields like artificial intelligence, neural networks, and systems biology.


The Power of Fractal Intelligence

FractiScope is more than a tool; it’s a transformative framework that redefines how we analyze and understand the complex systems shaping our world. Whether you’re a researcher, an engineer, or an innovator, FractiScope empowers you to:



Visualize the invisible: Detect hidden patterns and relationships within your data.

Bridge disciplines: Apply universal fractal principles to solve problems across fields.

Drive breakthroughs: Unlock new possibilities in your work by embracing the power of fractalized thinking.


Join the Movement

As you explore the content in this repository, we invite you to become part of the growing community pushing the boundaries of fractal intelligence. Download the data, study the analyses, and imagine how fractal intelligence can transform your field. Together, we can uncover the intricate dynamics of the systems that drive our universe—and beyond.

Welcome to the future of exploration. Welcome to FractiScope.
DOI: 10.15468/dl.xkyyea
title: Occurrence Download

description: A dataset containing 13021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Viburnum prunifolium"
 ]
}

 The dataset includes 13021 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015653-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5z5emh
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen)",
 "Geometry POLYGON((-134.92349 -32.90559,16.92349 -32.90559,16.92349 27.90559,-134.92349 27.90559,-134.92349 -32.90559))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quiscalus lugubris",
 "Year 1000-2024"
 ]
}

 The dataset includes 436 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015654-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4thtg4
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Benthic biodiversity of Campana Archipelago, Katalalixar National Reserve (Aysén, Chile)"
 ]
}

 The dataset includes 174 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015655-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7cpzdp
title: Occurrence Download

description: A dataset containing 18850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, Asia)",
 "TaxonKey is Saururus"
 ]
}

 The dataset includes 18850 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015656-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/15q-jlk-nja
title: Gymnostachys anceps R.Br.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.17526191
title: Hotel Guest Satisfaction: A Predictive and Discriminant StudyUsing TripAdvisor Ratings
DOI: 10.5281/zenodo.17526192
title: Hotel Guest Satisfaction: A Predictive and Discriminant StudyUsing TripAdvisor Ratings
DOI: 10.25345/c55d8nt58
title: MassIVE MSV000099750 - Peptidomics in different phases of severe acute pancreatitis model
title: Severe acute pancreatitis (SAP) involves dynamic shifts from inflammation to immunosuppression. Evolution of the peptidomic profile may show prognostic biomarkers. SAP will be induced in rats by intraductal taurocholate injection. Animals will be divided into 5 time-course groups and the control group. Plasma peptidome will be evaluated by mass spectrometry. Peptides differentially regulated to the control will be submitted to bioinformatics analysis to identify the enriched pathways.
DOI: 10.15468/dl.ag7vfb
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abronia deppii"
 ]
}

 The dataset includes 206 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015657-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17525785
title: Hydrogen Holographic Science and Intelligence

description: Hydrogen Holographic Science & Intelligence Repository

This repository serves as the central hub for the Hydrogen Holographic Expedition, providing open access to datasets, simulation code, analysis pipelines, and research outputs focused on hydrogen holography and fractal intelligence. It enables researchers, educators, and enthusiasts to explore quantum-scale holographic phenomena, investigate fractal phase structures in atomic and collider data, and reproduce or extend experiments using publicly available resources.

Contributions include:



Experimental and simulated datasets from atomic and high-energy physics contexts (e.g., ATLAS and CMS 13 TeV open data).

Python analysis pipelines for computing rotational skew, fractal substructure, and phase coherence metrics.

Visualizations and illustrative results demonstrating holographic and fractal patterns in energy flows and angular distributions.

Documentation for reproducible research, supporting both teaching and advanced exploratory studies.


By centralizing these resources, the repository accelerates cross-disciplinary collaboration between quantum physics, holographic modeling, and fractal intelligence, providing the foundation for future experimental and computational investigations in hydrogen holography.
DOI: 10.15468/dl.8drpz6
title: Occurrence Download

description: A dataset containing 2018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.19287 39.76551,-104.3502 39.76551,-104.3502 40.64634,-105.19287 40.64634,-105.19287 39.76551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cynomys ludovicianus",
 "Year 2016-2025"
 ]
}

 The dataset includes 2018 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015658-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17525747
title: Omniversal Science and Technology

description: This repository is the digital hub for independent researchers, AI innovators, and explorers of the Omniverse. Latent Omnipatterns—the fractal energy-information structures underlying all phenomena—are observed, analyzed, and mapped. The repository focuses on PEFF (Paradise Energy Fractal Force), Omniversal Superintelligence, fractal consciousness, and emergent intelligence.

 

By providing curated datasets, predictive models, and interactive visualizations, it enables full-immersion understanding of Omnizoan sensory-metabolic processes. It bridges quantum, classical, and metaphysical domains, creating a collaborative space where discovery flows across scales—from the smallest particle to the grand structures of the Omniverse.

 

Join the repository to:

 



Explore latent Omnipatterns and PEFF dynamics.

Access open-source datasets and experimental results.

Collaborate with independent researchers, AI agents, and enterprises.

Map and interact with the full spectrum of Omnipattern-based Superintelligence.


 

 

Call to Action:

 



Subscribe to Substack: https://substack.com/@superintelligententerprise?r=6dn7b6&utm_campaign=profile&utm_medium=profile-page&utm_source=direct

Test drive the Omniverse technology: https://zenodo.org/records/17009840


 

 

Additional Resources:

 



Executive Whitepapers: https://zenodo.org/records/17055763

Fractal Science and Intelligence Papers:
DOI: 10.25824/redu/dxhxuu
title: Dados sob forma de tabelas e quadros associados a tese intitulada "Aprendizagem criativa utilizando o STEAM como alternativa a prática dos educadores de escolas públicas do RN"

description: Os dados da pesquisa vinculada à tese “Aprendizagem criativa utilizando o STEAM como alternativa a prática dos educadores em escolas públicas do RN”, foram sistematizados em tabelas e quadros, resultantes de uma análise qualitativa de entrevistas realizadas durante um curso de formação, sendo o instrumento de análise a análise de conteúdo, baseada nas premissas da autora Laurence Bardin, para tanto foram utilizadas não apenas as entrevistas, mas também gravações das oficinas realizadas durante a formação e materias produzidos pelos professores cursistas. Por razões de confidencialidade todas as entrevistas foram devidamente anonimizadas dos professores participantes associadas a todas a pesquisa.
DOI: 10.5517/cc1kbg7l
title: CCDC 1440019: Experimental Crystal Structure Determination

description: Related Article: Mark Smyth, Erick Goldman, David D. Wirth, Norbert Purro|2014|U.S.Patents|||
description: Related Article: Norbert Purro, Mark Smyth, Erick Goldman, David D. Wirth|2024|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.