cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c26fzp
title: Occurrence Download

description: A dataset containing 67669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Toxicodendron radicans (L.) Kuntze"
 ]
}

 The dataset includes 67669 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008513-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5p767
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "PhylumKey is one of (Fungi)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008515-241126133413365/datasets/export for details.
DOI: 10.15468/dl.vta47s
title: Occurrence Download

description: A dataset containing 156672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "DatasetKey is INSDC Sequences",
 "Year is less than or equal to 3000"
 ]
}

 The dataset includes 156672 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008510-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpr82p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Phoebe formosana (Hayata) Hayata, Decaisnea insignis (Griff.) Hook.fil. & Thomson, Ginkgo biloba L.)",
 "Country is China",
 "Country is Chinese Taipei",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null",
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008517-241126133413365/datasets/export for details.
DOI: 10.15468/dl.7733pq
title: Occurrence Download

description: A dataset containing 1533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eriocnemis Reichenbach, 1849"
 ]
}

 The dataset includes 1533 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008518-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuds3w
title: Occurrence Download

description: A dataset containing 1533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eriocnemis Reichenbach, 1849"
 ]
}

 The dataset includes 1533 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008519-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3bfcd
title: Occurrence Download

description: A dataset containing 392251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "PhylumKey is one of (Bryophyta, Marchantiophyta, Anthocerotophyta)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 392251 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008516-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84vsca
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "PhylumKey is one of (Liliopsida)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008520-241126133413365/datasets/export for details.
DOI: 10.15468/dl.wx84km
title: Occurrence Download

description: A dataset containing 12831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Switzerland, Italy, Croatia, Bosnia and Herzegovina, Algeria)",
 "TaxonKey is Acer opalus Mill."
 ]
}

 The dataset includes 12831 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008521-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14018817
title: Adaptive Wireless Mesh Protocol, A Next Generation Alternative to Wireless Ethernet

description: This record presents a prototype implementation of the Adaptive Wireless Mesh Protocol (AWMP), a proposed wireless alternative to traditional Ethernet designed to deliver scalable, adaptable, and energy-efficient network connectivity using Software-Defined Radio (SDR) and mesh networking. AWMP aims to overcome the limitations of Ethernet and Wi-Fi in high-density, dynamic environments by leveraging SDR capabilities for real-time frequency agility, adaptive power management, and flexible modulation. Through a decentralized, self-healing mesh topology, AWMP nodes dynamically adjust transmission parameters to optimize connectivity, minimize interference, and conserve energy, making it suitable for diverse applications, from industrial IoT to smart cities.

 

This prototype includes:

 

1. Detailed setup and configuration guidelines for SDR hardware, including device recommendations (USRP, HackRF One, LimeSDR).

2. SDR software environment setup instructions utilizing GNU Radio and OpenAirInterface, along with a lightweight SDR protocol stack for frequency and modulation adaptation.

3. Implementation of mesh networking libraries (BATMAN-adv or OLSR) to facilitate self-healing, decentralized routing, and protocol translation for Ethernet compatibility.

4. Testing scenarios and performance metrics, including energy efficiency, throughput, latency, and packet delivery ratio, under varying environmental conditions.

 

The AWMP prototype offers a framework for further exploration into next-generation wireless connectivity, providing compatibility with Ethernet for seamless hybrid deployment. The record includes source code, technical configurations, and performance data to assist researchers and developers in exploring and extending AWMP’s capabilities.
DOI: 10.5281/zenodo.14036580
title: SAUUHUPP Based Innovations in Network Computing and Cybersecurity

description: Dear Zenodo Visitor,

 

Welcome to the SAUUHUPP Innovations in Network Computing and Cybersecurity repository. This repository is dedicated to pioneering technologies grounded in the SAUUHUPP framework, a transformative approach for enhancing adaptability, security, and efficiency in network computing and cybersecurity.

 

The innovations presented here explore how SAUUHUPP principles—focusing on scalable adaptability, universal harmony, and purposeful patterning—can be applied to the design and optimization of advanced networking and cybersecurity solutions. These solutions include dynamic, decentralized protocols for robust network connectivity, story encryption as an enhanced data protection technique, and VPNs that utilize the SAUUHUPP model to provide secure, context-aware communication channels.

 

Within this repository, you’ll find technical papers, prototype designs, and implementation guides for:

 

• Adaptive Wireless Mesh Protocol (AWMP), a scalable, energy-efficient alternative to Ethernet that combines Software-Defined Radio (SDR) and decentralized mesh networking.

• Story Encryption methods, which transform data into narrative-driven encryption models, leveraging SAUUHUPP to integrate story logic, making unauthorized decryption significantly more complex and intuitive to monitor.

• SAUUHUPP-based VPNs that adapt to network conditions and user contexts to provide seamless, resilient, and secure access across diverse environments, improving upon traditional VPN structures.

 

We hope these resources inspire new directions in network computing and security. Whether you’re a developer, researcher, or enthusiast, we invite you to explore, contribute, and collaborate with us as we continue advancing these technologies.

 

Thank you for your interest and support in pushing the boundaries of network computing with SAUUHUPP. Together, we aim to create adaptable, secure, and universally harmonious systems for the next era of technology.

 

Warm regards,

Prudencio L. Mendez

 SAUUHUPP Innovations Team
DOI: 10.5281/zenodo.14140581
title: SAUUHUPP Based Innovations in Network Computing and Cybersecurity

description: Dear Zenodo Visitor,

 

Welcome to the SAUUHUPP Innovations in Network Computing and Cybersecurity repository. This repository is dedicated to pioneering technologies grounded in the SAUUHUPP framework, a transformative approach for enhancing adaptability, security, and efficiency in network computing and cybersecurity.

 

The innovations presented here explore how SAUUHUPP principles—focusing on scalable adaptability, universal harmony, and purposeful patterning—can be applied to the design and optimization of advanced networking and cybersecurity solutions. These solutions include dynamic, decentralized protocols for robust network connectivity, story encryption as an enhanced data protection technique, and VPNs that utilize the SAUUHUPP model to provide secure, context-aware communication channels.

 

Within this repository, you’ll find technical papers, prototype designs, and implementation guides for:

 

• Adaptive Wireless Mesh Protocol (AWMP), a scalable, energy-efficient alternative to Ethernet that combines Software-Defined Radio (SDR) and decentralized mesh networking.

• Story Encryption methods, which transform data into narrative-driven encryption models, leveraging SAUUHUPP to integrate story logic, making unauthorized decryption significantly more complex and intuitive to monitor.

• SAUUHUPP-based VPNs that adapt to network conditions and user contexts to provide seamless, resilient, and secure access across diverse environments, improving upon traditional VPN structures.

 

We hope these resources inspire new directions in network computing and security. Whether you’re a developer, researcher, or enthusiast, we invite you to explore, contribute, and collaborate with us as we continue advancing these technologies.

 

Thank you for your interest and support in pushing the boundaries of network computing with SAUUHUPP. Together, we aim to create adaptable, secure, and universally harmonious systems for the next era of technology.

 

Warm regards,

Prudencio L. Mendez

 SAUUHUPP Innovations Team
DOI: 10.5281/zenodo.14212106
title: SAUUHUPP Based Innovations in Network Computing and Cybersecurity

description: Dear Zenodo Visitor,

 

Welcome to the SAUUHUPP Innovations in Network Computing and Cybersecurity repository. This repository is dedicated to pioneering technologies grounded in the SAUUHUPP framework, a transformative approach for enhancing adaptability, security, and efficiency in network computing and cybersecurity.

 

The innovations presented here explore how SAUUHUPP principles—focusing on scalable adaptability, universal harmony, and purposeful patterning—can be applied to the design and optimization of advanced networking and cybersecurity solutions. These solutions include dynamic, decentralized protocols for robust network connectivity, story encryption as an enhanced data protection technique, and VPNs that utilize the SAUUHUPP model to provide secure, context-aware communication channels.

 

Within this repository, you’ll find technical papers, prototype designs, and implementation guides for:

 

• Adaptive Wireless Mesh Protocol (AWMP), a scalable, energy-efficient alternative to Ethernet that combines Software-Defined Radio (SDR) and decentralized mesh networking.

• Story Encryption methods, which transform data into narrative-driven encryption models, leveraging SAUUHUPP to integrate story logic, making unauthorized decryption significantly more complex and intuitive to monitor.

• SAUUHUPP-based VPNs that adapt to network conditions and user contexts to provide seamless, resilient, and secure access across diverse environments, improving upon traditional VPN structures.

 

We hope these resources inspire new directions in network computing and security. Whether you’re a developer, researcher, or enthusiast, we invite you to explore, contribute, and collaborate with us as we continue advancing these technologies.

 

Thank you for your interest and support in pushing the boundaries of network computing with SAUUHUPP. Together, we aim to create adaptable, secure, and universally harmonious systems for the next era of technology.

 

Warm regards,

Prudencio L. Mendez

 SAUUHUPP Innovations Team
DOI: 10.5281/zenodo.14212241
title: SAUUHUPP Based Innovations in Network Computing and Cybersecurity

description: Dear Zenodo Visitor,

 

Welcome to the SAUUHUPP Innovations in Network Computing and Cybersecurity repository. This repository is dedicated to pioneering technologies grounded in the SAUUHUPP framework, a transformative approach for enhancing adaptability, security, and efficiency in network computing and cybersecurity.

 

The innovations presented here explore how SAUUHUPP principles—focusing on scalable adaptability, universal harmony, and purposeful patterning—can be applied to the design and optimization of advanced networking and cybersecurity solutions. These solutions include dynamic, decentralized protocols for robust network connectivity, story encryption as an enhanced data protection technique, and VPNs that utilize the SAUUHUPP model to provide secure, context-aware communication channels.

 

Within this repository, you’ll find technical papers, prototype designs, and implementation guides for:

 

• Adaptive Wireless Mesh Protocol (AWMP), a scalable, energy-efficient alternative to Ethernet that combines Software-Defined Radio (SDR) and decentralized mesh networking.

• Story Encryption methods, which transform data into narrative-driven encryption models, leveraging SAUUHUPP to integrate story logic, making unauthorized decryption significantly more complex and intuitive to monitor.

• SAUUHUPP-based VPNs that adapt to network conditions and user contexts to provide seamless, resilient, and secure access across diverse environments, improving upon traditional VPN structures.

 

We hope these resources inspire new directions in network computing and security. Whether you’re a developer, researcher, or enthusiast, we invite you to explore, contribute, and collaborate with us as we continue advancing these technologies.

 

Thank you for your interest and support in pushing the boundaries of network computing with SAUUHUPP. Together, we aim to create adaptable, secure, and universally harmonious systems for the next era of technology.

 

Warm regards,

Prudencio L. Mendez

 SAUUHUPP Innovations Team
DOI: 10.5281/zenodo.14223564
title: SAUUHUPP Based Innovations in Network Computing and Cybersecurity

description: Dear Zenodo Visitor,

 

Welcome to the SAUUHUPP Innovations in Network Computing and Cybersecurity repository. This repository is dedicated to pioneering technologies grounded in the SAUUHUPP framework, a transformative approach for enhancing adaptability, security, and efficiency in network computing and cybersecurity.

 

The innovations presented here explore how SAUUHUPP principles—focusing on scalable adaptability, universal harmony, and purposeful patterning—can be applied to the design and optimization of advanced networking and cybersecurity solutions. These solutions include dynamic, decentralized protocols for robust network connectivity, story encryption as an enhanced data protection technique, and VPNs that utilize the SAUUHUPP model to provide secure, context-aware communication channels.

 

Within this repository, you’ll find technical papers, prototype designs, and implementation guides for:

 

• Adaptive Wireless Mesh Protocol (AWMP), a scalable, energy-efficient alternative to Ethernet that combines Software-Defined Radio (SDR) and decentralized mesh networking.

• Story Encryption methods, which transform data into narrative-driven encryption models, leveraging SAUUHUPP to integrate story logic, making unauthorized decryption significantly more complex and intuitive to monitor.

• SAUUHUPP-based VPNs that adapt to network conditions and user contexts to provide seamless, resilient, and secure access across diverse environments, improving upon traditional VPN structures.

 

We hope these resources inspire new directions in network computing and security. Whether you’re a developer, researcher, or enthusiast, we invite you to explore, contribute, and collaborate with us as we continue advancing these technologies.

 

Thank you for your interest and support in pushing the boundaries of network computing with SAUUHUPP. Together, we aim to create adaptable, secure, and universally harmonious systems for the next era of technology.

 

Warm regards,

Prudencio L. Mendez

 SAUUHUPP Innovations Team
DOI: 10.5281/zenodo.14036517
title: SAUUHUPP Based Innovations in Network Computing and Cybersecurity

description: This record presents a prototype implementation of the Adaptive Wireless Mesh Protocol (AWMP), a proposed wireless alternative to traditional Ethernet designed to deliver scalable, adaptable, and energy-efficient network connectivity using Software-Defined Radio (SDR) and mesh networking. AWMP aims to overcome the limitations of Ethernet and Wi-Fi in high-density, dynamic environments by leveraging SDR capabilities for real-time frequency agility, adaptive power management, and flexible modulation. Through a decentralized, self-healing mesh topology, AWMP nodes dynamically adjust transmission parameters to optimize connectivity, minimize interference, and conserve energy, making it suitable for diverse applications, from industrial IoT to smart cities.

 

This prototype includes:

 

1. Detailed setup and configuration guidelines for SDR hardware, including device recommendations (USRP, HackRF One, LimeSDR).

2. SDR software environment setup instructions utilizing GNU Radio and OpenAirInterface, along with a lightweight SDR protocol stack for frequency and modulation adaptation.

3. Implementation of mesh networking libraries (BATMAN-adv or OLSR) to facilitate self-healing, decentralized routing, and protocol translation for Ethernet compatibility.

4. Testing scenarios and performance metrics, including energy efficiency, throughput, latency, and packet delivery ratio, under varying environmental conditions.

 

The AWMP prototype offers a framework for further exploration into next-generation wireless connectivity, providing compatibility with Ethernet for seamless hybrid deployment. The record includes source code, technical configurations, and performance data to assist researchers and developers in exploring and extending AWMP’s capabilities.
DOI: 10.5281/zenodo.14166324
title: SAUUHUPP Based Innovations in Network Computing and Cybersecurity

description: Dear Zenodo Visitor,

 

Welcome to the SAUUHUPP Innovations in Network Computing and Cybersecurity repository. This repository is dedicated to pioneering technologies grounded in the SAUUHUPP framework, a transformative approach for enhancing adaptability, security, and efficiency in network computing and cybersecurity.

 

The innovations presented here explore how SAUUHUPP principles—focusing on scalable adaptability, universal harmony, and purposeful patterning—can be applied to the design and optimization of advanced networking and cybersecurity solutions. These solutions include dynamic, decentralized protocols for robust network connectivity, story encryption as an enhanced data protection technique, and VPNs that utilize the SAUUHUPP model to provide secure, context-aware communication channels.

 

Within this repository, you’ll find technical papers, prototype designs, and implementation guides for:

 

• Adaptive Wireless Mesh Protocol (AWMP), a scalable, energy-efficient alternative to Ethernet that combines Software-Defined Radio (SDR) and decentralized mesh networking.

• Story Encryption methods, which transform data into narrative-driven encryption models, leveraging SAUUHUPP to integrate story logic, making unauthorized decryption significantly more complex and intuitive to monitor.

• SAUUHUPP-based VPNs that adapt to network conditions and user contexts to provide seamless, resilient, and secure access across diverse environments, improving upon traditional VPN structures.

 

We hope these resources inspire new directions in network computing and security. Whether you’re a developer, researcher, or enthusiast, we invite you to explore, contribute, and collaborate with us as we continue advancing these technologies.

 

Thank you for your interest and support in pushing the boundaries of network computing with SAUUHUPP. Together, we aim to create adaptable, secure, and universally harmonious systems for the next era of technology.

 

Warm regards,

Prudencio L. Mendez

 SAUUHUPP Innovations Team