cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17067515
title: INU: A Structural Framework for Compressed Arithmetic and Discrete Transformation

description: This archive presents INU (Intuitive Numerical Unification), a proposed framework for compressing arithmetic operations through structural classification and periodic transformations. INU includes a notation system for INU operations, an n-radix extension, and a dimensional generalization applicable to problems such as the Collatz Conjecture and the Four Color Theorem.

The file contains LaTeX source documents, preliminary classification tables, and symbol definitions. INU treats numerical entities as convertible types and provides discrete analogs for topological transformations.

This research aims to inspire new approaches to number theory, combinatorics, and structural proofs.

 

This framework does not seek final correctness, but rather the richness of inquiry. It is offered not as a conclusion, but as a beginning—an invitation to transform arithmetic through structure.

This work may contain errors. But if its structure holds, others will correct the rest. It is shared not for perfection, but for possibility.

 

Note on NamingThe name INU (Intuitive Numerical Unification) carries a personal and symbolic meaning. In Japanese, the word inu (dog) is sometimes used as a prefix to denote something humble or inferior. The framework embraces this nuance, reflecting the idea that even from a modest or overlooked origin, intuitive thinking can lead to meaningful mathematical structures. INU thus represents a system born from simplicity and insight, aiming to unify and compress arithmetic through structural transformation.

 

Note on Fool AlgebraIn addition to its structural framework, INU embraces a philosophical stance known as fool algebra.Unlike traditional algebraic systems that seek rigor through abstraction, fool algebra begins with intuition, visual structure, and the courage to appear foolish. It reflects the idea that wisdom often wears the mask of simplicity, and that breakthroughs may arise not from complexity, but from clarity.

Fool algebra treats numerical entities not merely as values, but as types—visual, compressible, and transformable. It invites the mathematician to step outside formalism, to see patterns where others see noise, and to compress arithmetic into structure.

This is not a rejection of rigor, but a reordering of priorities: structure first, proof second.Fool algebra is not a conclusion—it is a stance. A way of thinking. A way of seeing.

 

Words to be engraved on a gravestone (inscription style)

Here lies the mind behind INU(x) := ρ(ϕτ(x)(x)),A transformation of arithmetic into structure.

If x ∈ {INU}, then perhaps P != NP.Let future mathematicians decide.

By STUDENT
DOI: 10.15468/dl.3h7bz5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xiphopenaeus kroyeri",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034843-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17067499
title: Anatomy of a Solar Eruption: Observational Validation of the Standard Flare Model During the X9.3 Flare of 2017 September 06

description: Solar flares, exceptionally powerful manifestations of magnetic energy release through explosive reconnection, represent critical drivers of severe space weather, posing substantial threats to Earth's technological infrastructure. This study presents a rigorous observational analysis of the X9.3-class flare of 6 September 2017, an exceptionally powerful event originating from Active Region (AR) 2673. Leveraging high-resolution multi-wavelength data from the Solar Dynamics Observatory’s (SDO) Atmospheric Imaging Assembly (AIA) and soft X-ray (SXR) flux measurements from the Geostationary Operational Environmental Satellite (GOES) X-ray Sensor (XRS), our comprehensive observations reveal a compelling suite of eruptive flare signatures. These include distinct two-ribbon chromospheric brightenings, the clear eruption of a magnetic flux rope, and a characteristic two-phase SXR light curve consistent with the Neupert effect. These empirical findings provide robust and unequivocal validation for the foundational standard 3D eruptive flare model, thereby accentuating the indispensable role of multi-modal solar observations in elucidating the intricate physical processes underlying solar eruptions and their far-reaching space weather implications.
DOI: 10.5281/zenodo.17067500
title: Anatomy of a Solar Eruption: Observational Validation of the Standard Flare Model During the X9.3 Flare of 2017 September 06

description: Solar flares, exceptionally powerful manifestations of magnetic energy release through explosive reconnection, represent critical drivers of severe space weather, posing substantial threats to Earth's technological infrastructure. This study presents a rigorous observational analysis of the X9.3-class flare of 6 September 2017, an exceptionally powerful event originating from Active Region (AR) 2673. Leveraging high-resolution multi-wavelength data from the Solar Dynamics Observatory’s (SDO) Atmospheric Imaging Assembly (AIA) and soft X-ray (SXR) flux measurements from the Geostationary Operational Environmental Satellite (GOES) X-ray Sensor (XRS), our comprehensive observations reveal a compelling suite of eruptive flare signatures. These include distinct two-ribbon chromospheric brightenings, the clear eruption of a magnetic flux rope, and a characteristic two-phase SXR light curve consistent with the Neupert effect. These empirical findings provide robust and unequivocal validation for the foundational standard 3D eruptive flare model, thereby accentuating the indispensable role of multi-modal solar observations in elucidating the intricate physical processes underlying solar eruptions and their far-reaching space weather implications.
DOI: 10.15468/dl.ygqd2b
title: Occurrence Download

description: A dataset containing 4004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "Geometry POLYGON((32 -43,127 -43,127 28,32 28,32 -43))",
 "MediaType is Image",
 "TaxonKey is Castalius"
 ]
}

 The dataset includes 4004 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034844-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29538650
title: Cyclone dates in the QPRP-CSIRO plots for Carle et al. (2025), Nature: Aboveground biomass in Australian tropical forests now net carbon source

description: This dataset is part of the collection supplementary to Carle et al. (2025), <i>Aboveground biomass in Australian tropical forests now net carbon source</i>, Nature. DOI: [xxx]. The full collection is available at DOI: https://doi.org/10.6084/m9.figshare.c.7922084.This file contains cyclone dates listed by year of storm impact, for each plot where damage was observed in the following census.
DOI: 10.6084/m9.figshare.29538650.v2
title: Cyclone dates in the QPRP-CSIRO plots for Carle et al. (2025), Nature: Aboveground biomass in Australian tropical forests now net carbon source

description: This dataset is part of the collection supplementary to Carle et al. (2025), <i>Aboveground biomass in Australian tropical forests now net carbon source</i>, Nature. DOI: [xxx]. The full collection is available at DOI: https://doi.org/10.6084/m9.figshare.c.7922084.This file contains cyclone dates listed by year of storm impact, for each plot where damage was observed in the following census.
DOI: 10.15468/dl.zjbup2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atopochilus pachychilus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034846-250827131500795/datasets/export for details.
DOI: 10.6084/m9.figshare.29538653
title: Geographic locations of the QPRP-CSIRO plots for Carle et al. (2025), Nature: Aboveground biomass in Australian tropical forests now net carbon source

description: This dataset is part of the collection supplementary to Carle et al. (2025), <i>Aboveground biomass in Australian tropical forests now net carbon source</i>, Nature. DOI: [xxx]. The full collection is available at DOI: https://doi.org/10.6084/m9.figshare.c.7922084.This file contains the geographic locations of each QPRP-CSIRO plot, including longitude, latitude and elevation.
DOI: 10.6084/m9.figshare.29538653.v2
title: Geographic locations of the QPRP-CSIRO plots for Carle et al. (2025), Nature: Aboveground biomass in Australian tropical forests now net carbon source

description: This dataset is part of the collection supplementary to Carle et al. (2025), <i>Aboveground biomass in Australian tropical forests now net carbon source</i>, Nature. DOI: [xxx]. The full collection is available at DOI: https://doi.org/10.6084/m9.figshare.c.7922084.This file contains the geographic locations of each QPRP-CSIRO plot, including longitude, latitude and elevation.
DOI: 10.15468/dl.p9ncgn
title: Occurrence Download

description: A dataset containing 3901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "Geometry POLYGON((32 -43,127 -43,127 28,32 28,32 -43))",
 "MediaType is Image",
 "TaxonKey is Jamides"
 ]
}

 The dataset includes 3901 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034845-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kumqm3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis anoterus, Chiloglanis asymetricaudalis, Chiloglanis batesii, Chiloglanis benuensis, Chiloglanis bifurcus, Chiloglanis brevibarbis, Chiloglanis camarabounyi, Chiloglanis cameronensis, Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Euchilichthys astatodon, Euchilichthys boulengeri, Euchilichthys dybowskii, Euchilichthys guentheri, Euchilichthys royauxi, Microsynodontis armatus, Microsynodontis batesii, Microsynodontis christyi, Microsynodontis emarginata, Microsynodontis hirsuta, Microsynodontis laevigata, Microsynodontis lamberti, Microsynodontis nannoculus, Microsynodontis nasutus, Microsynodontis notata, Microsynodontis polli, Microsynodontis vigilis, Mochokiella paynei, Mochokus brevis, Mochokus niloticus, Synodontis acanthomias, Synodontis acanthoperca, Synodontis afrofischeri, Synodontis alberti, Synodontis albolineatus, Synodontis angelicus, Synodontis annectens, Synodontis ansorgii, Synodontis arnoulti, Synodontis aterrimus, Synodontis bastiani, Synodontis batensoda, Synodontis batesii, Synodontis brichardi, Synodontis budgetti, Synodontis camelopardalis, Synodontis caudalis, Synodontis caudovittatus, Synodontis centralis, Synodontis clarias, Synodontis comoensis, Synodontis congicus, Synodontis contractus, Synodontis courteti)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((7.2484 2.1771,7.0894 2.0599,7.744 2.0599,7.6712 2.1357,7.2484 2.1771))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034847-250827131500795/datasets/export for details.
DOI: 10.6084/m9.figshare.29538656
title: Plot-level summary climate data for Carle et al. (2025), Nature: Aboveground biomass in Australian tropical forests now net carbon source

description: This dataset is part of the collection supplementary to Carle et al. (2025), <i>Aboveground biomass in Australian tropical forests now net carbon source</i>, Nature. DOI: [xxx]. The full collection is available at DOI: https://doi.org/10.6084/m9.figshare.c.7922084.Summary climate data used in the main analyses. Monthly climate data were summarised for each plot and census interval by taking weighted means (weighted by the number of days of each month included in each census interval).
DOI: 10.6084/m9.figshare.29538656.v2
title: Plot-level summary climate data for Carle et al. (2025), Nature: Aboveground biomass in Australian tropical forests now net carbon source

description: This dataset is part of the collection supplementary to Carle et al. (2025), <i>Aboveground biomass in Australian tropical forests now net carbon source</i>, Nature. DOI: [xxx]. The full collection is available at DOI: https://doi.org/10.6084/m9.figshare.c.7922084.Summary climate data used in the main analyses. Monthly climate data were summarised for each plot and census interval by taking weighted means (weighted by the number of days of each month included in each census interval).
DOI: 10.21227/j162-nh61
title: "CSTE: A Dataset for Cross-Sessions and Cross-Tasks EEG Biometrics"

description: "This dataset is a self-collected identity recognition dataset specifically designed for cross-session and cross-task identity recognition, a task for which there are few existing datasets. According to the international 10-20 electrode system, EEG signals were recorded from 10 subjects (aged 20\u201325 years, without neurological disorders), all of whom signed informed consent forms. The EEG acquisition device used was the 64-channel wet electrode EEG amplifier ERP System ActiCHamp from Brain Products, with a sampling frequency of 500 Hz. The experiment consisted of two sessions, with an interval of approximately one week to one month to ensure the uniqueness of EEG distribution across different sessions. In each session, the subjects were asked to complete four dynamic or resting-state tasks, including mental arithmetic, motor imagery, resting, and passive audio. A rest period was set between each task."
DOI: 10.15468/dl.gz9bky
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penaeus vannamei",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034848-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.py8dtn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penaeus vannamei",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034850-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkuvwd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penaeus vannamei",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034849-250827131500795/datasets/export for details.
DOI: 10.6084/m9.figshare.29538659
title: Plot-level summary census data and aboveground biomass estimates for Carle et al. (2025), Nature: Aboveground biomass in Australian tropical forests now net carbon source

description: This dataset is part of the collection supplementary to Carle et al. (2025), <i>Aboveground biomass in Australian tropical forests now net carbon source</i>, Nature. DOI: [xxx]. The full collection is available at DOI: https://doi.org/10.6084/m9.figshare.c.7922084.This file contains a plot-level summary of stem inventory data, for stems &gt;= 10 cm DBH, by census interval. Note that all numbers pertain to stems, not trees (i.e., multistem individuals tracked as individual stems). Stem heights were estimated at each time point using a Weibull function fit to all available height-diameter census data from the plots. Aboveground biomass (AGB) of individual stems was calculated using the Chave et al. (2005) moist forest equation: AGB = 0.0509*(WD * DBH<sup>2</sup> * height). Rates are transformed from plot-level (0.5 ha) to per-hectare (1 ha) by multiplying by 2. All values correspond to the end of the census interval.
DOI: 10.6084/m9.figshare.29538659.v2
title: Plot-level summary census data and aboveground biomass estimates for Carle et al. (2025), Nature: Aboveground biomass in Australian tropical forests now net carbon source

description: This dataset is part of the collection supplementary to Carle et al. (2025), <i>Aboveground biomass in Australian tropical forests now net carbon source</i>, Nature. DOI: [xxx]. The full collection is available at DOI: https://doi.org/10.6084/m9.figshare.c.7922084.This file contains a plot-level summary of stem inventory data, for stems &gt;= 10 cm DBH, by census interval. Note that all numbers pertain to stems, not trees (i.e., multistem individuals tracked as individual stems). Stem heights were estimated at each time point using a Weibull function fit to all available height-diameter census data from the plots. Aboveground biomass (AGB) of individual stems was calculated using the Chave et al. (2005) moist forest equation: AGB = 0.0509*(WD * DBH<sup>2</sup> * height). Rates are transformed from plot-level (0.5 ha) to per-hectare (1 ha) by multiplying by 2. All values correspond to the end of the census interval.
DOI: 10.5281/zenodo.17067487
title: Data and simulation file for "Hydro-Mechanical Controls on Swarm Recurrence on the Westernmost Gofar Transform Fault, East Pacific Rise"

description: This dataset contains all the COMSOL file and processed data used in the study “Hydro-Mechanical Controls on Swarm Recurrence on the Westernmost Gofar Transform Fault, East Pacific Rise”. Included files: 1. Original data of Figures 2. Simulation source file 3. README.md.
DOI: 10.5281/zenodo.17067488
title: Data and simulation file for "Hydro-Mechanical Controls on Swarm Recurrence on the Westernmost Gofar Transform Fault, East Pacific Rise"

description: This dataset contains all the COMSOL file and processed data used in the study “Hydro-Mechanical Controls on Swarm Recurrence on the Westernmost Gofar Transform Fault, East Pacific Rise”. Included files: 1. Original data of Figures 2. Simulation source file 3. README.md.
DOI: 10.15468/dl.gvwbzp
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis anoterus, Chiloglanis asymetricaudalis, Chiloglanis batesii, Chiloglanis benuensis, Chiloglanis bifurcus, Chiloglanis brevibarbis, Chiloglanis camarabounyi, Chiloglanis cameronensis, Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Euchilichthys astatodon, Euchilichthys boulengeri, Euchilichthys dybowskii, Euchilichthys guentheri, Euchilichthys royauxi, Microsynodontis armatus, Microsynodontis batesii, Microsynodontis christyi, Microsynodontis emarginata, Microsynodontis hirsuta, Microsynodontis laevigata, Microsynodontis lamberti, Microsynodontis nannoculus, Microsynodontis nasutus, Microsynodontis notata, Microsynodontis polli, Microsynodontis vigilis, Mochokiella paynei, Mochokus brevis, Mochokus niloticus, Synodontis acanthomias, Synodontis acanthoperca, Synodontis afrofischeri, Synodontis alberti, Synodontis albolineatus, Synodontis angelicus, Synodontis annectens, Synodontis ansorgii, Synodontis arnoulti, Synodontis aterrimus, Synodontis bastiani, Synodontis batensoda, Synodontis batesii, Synodontis brichardi, Synodontis budgetti, Synodontis camelopardalis, Synodontis caudalis, Synodontis caudovittatus, Synodontis centralis, Synodontis clarias, Synodontis comoensis, Synodontis congicus, Synodontis contractus, Synodontis courteti)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((1.1203 5.3273,1.1382 5.3438,1.1382 11.0599,-7.8618 11.0599,-7.8618 3.9537,-7.6185 3.8529,-5.722 4.551,-4.0045 4.7444,-1.8508 4.2719,0.3589 5.2679,1.1203 5.3273))"
 ]
}

 The dataset includes 108 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034851-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47jx6m
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis dumaguetensis"
 ]
}

 The dataset includes 46 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034852-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.