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

description: A dataset containing 11100070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.80847 34.20564,-114.07014 34.20564,-114.07014 36.75999,-120.80847 36.75999,-120.80847 34.20564))",
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 11100070 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170356-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfnz6g
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhipidomys mastacalis (Lund, 1840)"
 ]
}

 The dataset includes 279 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015455-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1nta5t
title: Occurrence Download

description: A dataset listing the 781303 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset's 781303 records were derived from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012982-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/74kpb9
title: The identity of Psilochironomus Sublette, 1966 (Chironomidae, Chironominae, Pseudochironomini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Andersen, Trond, Sanz-Laparra, Annui Malla, Giłka, Wojciech (2024): The identity of Psilochironomus Sublette, 1966 (Chironomidae, Chironominae, Pseudochironomini). Zootaxa 5496 (1): 111-118, DOI: 10.11646/zootaxa.5496.1.6, URL: http://dx.doi.org/10.11646/zootaxa.5496.1.6AbstractChironomus fumeus Walley in Curran, 1934 was described based on a single male from British Guyana. When reviewing the type specimens of Chironomidae (Diptera) in the American Museum of Natural History, Sublette erected the monotypic genus Psilochironomus Sublette, 1966 based on the species. Subsequently, Saether included the genus when he suggested the new tribe Pseudochironomini Saether, 1977. However, the type specimen’s hypopygium has been missing since before Sublette’s examination; thus, Spies & Reiss in 1996 considered both C. fumeus and Psilochironomus to be nomina dubia. Below we redescribe C. fumeus based on four males collected by E.J. Fittkau in Pará State in northern Brazil and give an emended diagnosis for Psilochironomus. An updated key to the genera of Pseudochironomini is included.
DOI: 10.15468/6yn7rs
title: New species of Ceropegia (Apocynaceae) from the Horn of Africa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bruyns, Peter V., Klak, Cornelia, Mazuch, Tomáš, Gelle, Faysal Jama, Elmi, Hassan Sh Abdirahman, Hanáček, Pavel (2020): New species of Ceropegia (Apocynaceae) from the Horn of Africa. Phytotaxa 441 (2): 195-202, DOI: 10.11646/phytotaxa.441.2.6, URL: http://dx.doi.org/10.11646/phytotaxa.441.2.6AbstractWe describe three new species of Ceropegia L., namely C. buraoensis Bruyns of sect. Echidnopsis (Hook.f.) Bruyns from Somaliland, C. marronina Bruyns & Hanáček of sect. Orbea (Haw.) Bruyns from northern Ethiopia and C. pseudorhynchantha Bruyns of sect. Phalaena H.Huber from southern Ethiopia.
DOI: 10.15468/57ebs4
title: The French Polynesian Atractocarpus Schltr. & K. Krause (Rubiaceae): circumscription of A. tahitensis and description of A. teamotuaitaui sp. nov., both microendemic and critically endangered species in the Society Islands

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mouly, Arnaud, Butaud, Jean-François (2023): The French Polynesian Atractocarpus Schltr. & K. Krause (Rubiaceae): circumscription of A. tahitensis and description of A. teamotuaitaui sp. nov., both microendemic and critically endangered species in the Society Islands. Adansonia (3) 45 (10): 151-159, DOI: 10.5252/adansonia2023v45a10ABSTRACTFrench Polynesia possesses the most eastward species of the genus Atractocarpus Schltr. & K.Krause in the Pacific Ocean. The genus was known from a single species in the Society Islands, Atractocarpus tahitensis (Nadeaud) Puttock, restricted to Tahiti and Raiatea. The species remained unseen there for more than a century. Field prospections from poorly explored altitudinal areas of Tahiti Nui allowed to find new populations of the species. Moreover, another taxon bearing very atypical features, including shortly petiolate and basally cordate leaves (vs long petiolate and basally attenuate leaves), is here recognized and described as a species new to science, Atractocarpus teamotuaitaui sp. nov., restricted to Tahiti’s peninsula (Tahiti Iti). An identification key to species is provided, as well as a list of specimens, a morphological description, information on their phenology, distribution and ecology. Photos are presented for each species.
DOI: 10.6084/m9.figshare.27886755
title: 24_2_24 (control to freeflow)

description: The data consists pf electrical output and data acquisition from irradiance, temperature of PV module
DOI: 10.15468/dl.x8r89f
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Saussurea gossipiphora D.Don, Saussurea gossypina Wall., Saussurea gossipiphora subsp. luxuriosa Lipsch., Saussurea gossipiphora var. lilliputa Lipsch.)"
 ]
}

 The dataset includes 236 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027168-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akc5xv
title: Occurrence Download

description: A dataset containing 63440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncaeidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 63440 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027167-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmbnc7
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Piptadenia flava (Spreng. ex DC.) Benth."
 ]
}

 The dataset includes 56 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027169-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8cbqp
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caligidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 475 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027170-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tec6rn
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea grandiceps S.W.Liu"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027171-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bkpnj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea gyacaensis S.W.Liu"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027173-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6zu9m
title: Occurrence Download

description: A dataset containing 12009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ectinosomatidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12009 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027174-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13929944
title: Updated SAUUHUPP Model and Empirical Validations

description: Updated SAUUHUPP Framework, Empirical Validation, and Universal Recreation

Welcome to the SAUUHUPP (Self-Aware Universe in Universal Harmony over Universal Pixel Processing) repository. This project presents the updated architecture of SAUUHUPP, an information-driven framework for modeling the universe, along with empirical verification results. Our experiments show 85% validation with James Webb Space Telescope (JWST) cosmic data, 90% alignment with biological recursive systems (e.g., gene regulation and evolutionary biology), and 93% consistency with recursive structures in abstract domains such as linguistics and mathematics. Additionally, this repository contains the recreation of the universe, from its inception of infinite possibilities to Earth 2024, based on SAUUHUPP principles.

 

Key Components:

 

• SAUUHUPP Framework: A robust model utilizing recursive feedback, fractal growth, and informational units (Unipixels) to explain the evolution of complex systems.

• Empirical Validation Experiments: In-depth studies using astronomical, biological, and linguistic datasets to validate SAUUHUPP’s predictions.

• Universe Recreation: A comprehensive simulation detailing the universe’s journey from potential energy to the present day, guided by Fractal Leaping, Story Energy, and Active Inference mechanisms.

 

Features:

 

1. Recursive Refinement: Feedback-driven evolution across all domains—cosmological, biological, and abstract.

2. Fractal Leaping & Master Fractal Templates: Facilitating non-linear advancements in complex systems, with applications to cosmology and linguistic evolution.

3. Story Energy: Describing the universe’s evolution as a narrative-like process.

4. Active Inference: Dynamic adaptability that allows systems to self-correct and evolve in real-time.

 

Highlights:

 

• 85% alignment of galactic structures with JWST data.

• 90% validation in biological system behavior (e.g., gene expression and cellular processes).

• 93% alignment with abstract recursive patterns in linguistics and mathematics.

 

Explore the repository to learn how SAUUHUPP provides a comprehensive framework for understanding the complexity of our universe, with empirical support. Discover how it compares with models like Wolfram’s Hypergraph Theory and String Theory, and see the universe recreated through the lens of this cutting-edge framework.
DOI: 10.5281/zenodo.13930537
title: Updated SAUUHUPP Model and Empirical Validations

description: Updated SAUUHUPP Framework, Empirical Validation, and Universal Recreation

Welcome to the SAUUHUPP (Self-Aware Universe in Universal Harmony over Universal Pixel Processing) repository. This project presents the updated architecture of SAUUHUPP, an information-driven framework for modeling the universe, along with empirical verification results. Our experiments show 85% validation with James Webb Space Telescope (JWST) cosmic data, 90% alignment with biological recursive systems (e.g., gene regulation and evolutionary biology), and 93% consistency with recursive structures in abstract domains such as linguistics and mathematics. Additionally, this repository contains the recreation of the universe, from its inception of infinite possibilities to Earth 2024, based on SAUUHUPP principles.

 

Key Components:

 

• SAUUHUPP Framework: A robust model utilizing recursive feedback, fractal growth, and informational units (Unipixels) to explain the evolution of complex systems.

• Empirical Validation Experiments: In-depth studies using astronomical, biological, and linguistic datasets to validate SAUUHUPP’s predictions.

• Universe Recreation: A comprehensive simulation detailing the universe’s journey from potential energy to the present day, guided by Fractal Leaping, Story Energy, and Active Inference mechanisms.

 

Features:

 

1. Recursive Refinement: Feedback-driven evolution across all domains—cosmological, biological, and abstract.

2. Fractal Leaping & Master Fractal Templates: Facilitating non-linear advancements in complex systems, with applications to cosmology and linguistic evolution.

3. Story Energy: Describing the universe’s evolution as a narrative-like process.

4. Active Inference: Dynamic adaptability that allows systems to self-correct and evolve in real-time.

 

Highlights:

 

• 85% alignment of galactic structures with JWST data.

• 90% validation in biological system behavior (e.g., gene expression and cellular processes).

• 93% alignment with abstract recursive patterns in linguistics and mathematics.

 

Explore the repository to learn how SAUUHUPP provides a comprehensive framework for understanding the complexity of our universe, with empirical support. Discover how it compares with models like Wolfram’s Hypergraph Theory and String Theory, and see the universe recreated through the lens of this cutting-edge framework.
DOI: 10.5281/zenodo.13931563
title: Updated SAUUHUPP Model and Empirical Validations

description: Updated SAUUHUPP Framework, Empirical Validation, and Universal Recreation

Welcome to the SAUUHUPP (Self-Aware Universe in Universal Harmony over Universal Pixel Processing) repository. This project presents the updated architecture of SAUUHUPP, an information-driven framework for modeling the universe, along with empirical verification results. Our experiments show 85% validation with James Webb Space Telescope (JWST) cosmic data, 90% alignment with biological recursive systems (e.g., gene regulation and evolutionary biology), and 93% consistency with recursive structures in abstract domains such as linguistics and mathematics. Additionally, this repository contains the recreation of the universe, from its inception of infinite possibilities to Earth 2024, based on SAUUHUPP principles.

 

Key Components:

 

• SAUUHUPP Framework: A robust model utilizing recursive feedback, fractal growth, and informational units (Unipixels) to explain the evolution of complex systems.

• Empirical Validation Experiments: In-depth studies using astronomical, biological, and linguistic datasets to validate SAUUHUPP’s predictions.

• Universe Recreation: A comprehensive simulation detailing the universe’s journey from potential energy to the present day, guided by Fractal Leaping, Story Energy, and Active Inference mechanisms.

 

Features:

 

1. Recursive Refinement: Feedback-driven evolution across all domains—cosmological, biological, and abstract.

2. Fractal Leaping & Master Fractal Templates: Facilitating non-linear advancements in complex systems, with applications to cosmology and linguistic evolution.

3. Story Energy: Describing the universe’s evolution as a narrative-like process.

4. Active Inference: Dynamic adaptability that allows systems to self-correct and evolve in real-time.

 

Highlights:

 

• 85% alignment of galactic structures with JWST data.

• 90% validation in biological system behavior (e.g., gene expression and cellular processes).

• 93% alignment with abstract recursive patterns in linguistics and mathematics.

 

Explore the repository to learn how SAUUHUPP provides a comprehensive framework for understanding the complexity of our universe, with empirical support. Discover how it compares with models like Wolfram’s Hypergraph Theory and String Theory, and see the universe recreated through the lens of this cutting-edge framework.
DOI: 10.5281/zenodo.13934528
title: Updated SAUUHUPP Model and Empirical Validations

description: Updated SAUUHUPP Framework, Empirical Validation, and Universal Recreation

Welcome to the SAUUHUPP (Self-Aware Universe in Universal Harmony over Universal Pixel Processing) repository. This project presents the updated architecture of SAUUHUPP, an information-driven framework for modeling the universe, along with empirical verification results. Our experiments show 85% validation with James Webb Space Telescope (JWST) cosmic data, 90% alignment with biological recursive systems (e.g., gene regulation and evolutionary biology), and 93% consistency with recursive structures in abstract domains such as linguistics and mathematics. Additionally, this repository contains the recreation of the universe, from its inception of infinite possibilities to Earth 2024, based on SAUUHUPP principles.

 

Key Components:

 

• SAUUHUPP Framework: A robust model utilizing recursive feedback, fractal growth, and informational units (Unipixels) to explain the evolution of complex systems.

• Empirical Validation Experiments: In-depth studies using astronomical, biological, and linguistic datasets to validate SAUUHUPP’s predictions.

• Universe Recreation: A comprehensive simulation detailing the universe’s journey from potential energy to the present day, guided by Fractal Leaping, Story Energy, and Active Inference mechanisms.

 

Features:

 

1. Recursive Refinement: Feedback-driven evolution across all domains—cosmological, biological, and abstract.

2. Fractal Leaping & Master Fractal Templates: Facilitating non-linear advancements in complex systems, with applications to cosmology and linguistic evolution.

3. Story Energy: Describing the universe’s evolution as a narrative-like process.

4. Active Inference: Dynamic adaptability that allows systems to self-correct and evolve in real-time.

 

Highlights:

 

• 85% alignment of galactic structures with JWST data.

• 90% validation in biological system behavior (e.g., gene expression and cellular processes).

• 93% alignment with abstract recursive patterns in linguistics and mathematics.

 

Explore the repository to learn how SAUUHUPP provides a comprehensive framework for understanding the complexity of our universe, with empirical support. Discover how it compares with models like Wolfram’s Hypergraph Theory and String Theory, and see the universe recreated through the lens of this cutting-edge framework.
DOI: 10.5281/zenodo.13934634
title: Updated SAUUHUPP Model and Empirical Validations

description: Updated SAUUHUPP Framework, Empirical Validation, and Universal Recreation

Welcome to the SAUUHUPP (Self-Aware Universe in Universal Harmony over Universal Pixel Processing) repository. This project presents the updated architecture of SAUUHUPP, an information-driven framework for modeling the universe, along with empirical verification results. Our experiments show 85% validation with James Webb Space Telescope (JWST) cosmic data, 90% alignment with biological recursive systems (e.g., gene regulation and evolutionary biology), and 93% consistency with recursive structures in abstract domains such as linguistics and mathematics. Additionally, this repository contains the recreation of the universe, from its inception of infinite possibilities to Earth 2024, based on SAUUHUPP principles.

 

Key Components:

 

• SAUUHUPP Framework: A robust model utilizing recursive feedback, fractal growth, and informational units (Unipixels) to explain the evolution of complex systems.

• Empirical Validation Experiments: In-depth studies using astronomical, biological, and linguistic datasets to validate SAUUHUPP’s predictions.

• Universe Recreation: A comprehensive simulation detailing the universe’s journey from potential energy to the present day, guided by Fractal Leaping, Story Energy, and Active Inference mechanisms.

 

Features:

 

1. Recursive Refinement: Feedback-driven evolution across all domains—cosmological, biological, and abstract.

2. Fractal Leaping & Master Fractal Templates: Facilitating non-linear advancements in complex systems, with applications to cosmology and linguistic evolution.

3. Story Energy: Describing the universe’s evolution as a narrative-like process.

4. Active Inference: Dynamic adaptability that allows systems to self-correct and evolve in real-time.

 

Highlights:

 

• 85% alignment of galactic structures with JWST data.

• 90% validation in biological system behavior (e.g., gene expression and cellular processes).

• 93% alignment with abstract recursive patterns in linguistics and mathematics.

 

Explore the repository to learn how SAUUHUPP provides a comprehensive framework for understanding the complexity of our universe, with empirical support. Discover how it compares with models like Wolfram’s Hypergraph Theory and String Theory, and see the universe recreated through the lens of this cutting-edge framework.
DOI: 10.5281/zenodo.13934736
title: Updated SAUUHUPP Model and Empirical Validations

description: Updated SAUUHUPP Framework, Empirical Validation, and Universal Recreation

Welcome to the SAUUHUPP (Self-Aware Universe in Universal Harmony over Universal Pixel Processing) repository. This project presents the updated architecture of SAUUHUPP, an information-driven framework for modeling the universe, along with empirical verification results. Our experiments show 85% validation with James Webb Space Telescope (JWST) cosmic data, 90% alignment with biological recursive systems (e.g., gene regulation and evolutionary biology), and 93% consistency with recursive structures in abstract domains such as linguistics and mathematics. Additionally, this repository contains the recreation of the universe, from its inception of infinite possibilities to Earth 2024, based on SAUUHUPP principles.

 

Key Components:

 

• SAUUHUPP Framework: A robust model utilizing recursive feedback, fractal growth, and informational units (Unipixels) to explain the evolution of complex systems.

• Empirical Validation Experiments: In-depth studies using astronomical, biological, and linguistic datasets to validate SAUUHUPP’s predictions.

• Universe Recreation: A comprehensive simulation detailing the universe’s journey from potential energy to the present day, guided by Fractal Leaping, Story Energy, and Active Inference mechanisms.

 

Features:

 

1. Recursive Refinement: Feedback-driven evolution across all domains—cosmological, biological, and abstract.

2. Fractal Leaping & Master Fractal Templates: Facilitating non-linear advancements in complex systems, with applications to cosmology and linguistic evolution.

3. Story Energy: Describing the universe’s evolution as a narrative-like process.

4. Active Inference: Dynamic adaptability that allows systems to self-correct and evolve in real-time.

 

Highlights:

 

• 85% alignment of galactic structures with JWST data.

• 90% validation in biological system behavior (e.g., gene expression and cellular processes).

• 93% alignment with abstract recursive patterns in linguistics and mathematics.

 

Explore the repository to learn how SAUUHUPP provides a comprehensive framework for understanding the complexity of our universe, with empirical support. Discover how it compares with models like Wolfram’s Hypergraph Theory and String Theory, and see the universe recreated through the lens of this cutting-edge framework.