cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17317048
title: The Stellar Equilibrium Constant: connecting Radiation, Gravity, and Thermodynamics

description: We discover a universal stellar equilibrium constant, I = 4πGσ/c⁴, that governs all thermal photospheres. This invariant emerges from the intersection of radiative equilibrium, Newtonian gravity, and relativistic compactness, yielding the identity I = (Φβ²)/(T⁴R²) = 4πGσ/c⁴, where Φ = L/(Mg) and β = GM/(Rc²). 

 

The constant depends only on fundamental constants (G, σ, c), reducing stellar observables (L, M, R, T) from four to three independent parameters. Classical relations—Eddington luminosity, Kelvin-Helmholtz timescale, radiation pressure—emerge as algebraic projections of this single identity rather than independent laws.

 

Numerical verification across the Sun, Sirius A, Vega, and WR 124 confirms I_left/I_right = 1.000±10⁻¹⁶. Empirically, the photogravitational parameter Φ clusters by Wolf-Rayet spectroscopic subtype (±10%), enabling direct mass determination from (L, R) alone with ~1-2% accuracy. Applied to 46 WR stars, this reveals a systematic ~43% mass deficit relative to evolutionary tracks—evidence of missing physics in massive star models.

The invariant establishes photospheres as critical geometric-thermodynamic boundaries where nature's constants enforce a universal constraint, providing falsifiable diagnostics (ΔI, ΔSB) for detecting non-thermal departures in any self-luminous system.
DOI: 10.15468/dl.pjh89d
title: Occurrence Download

description: A dataset containing 527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 30,-20 30,-20 40,-30 40,-30 30))"
 ]
}

 The dataset includes 527 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014158-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzkvx2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cordia lutea",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014156-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjghc4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-40 -40,-30 -40,-30 -30,-40 -30,-40 -40))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014157-251009101135966/datasets/export for details.
DOI: 10.5281/zenodo.17337264
title: LLM4Weather Dataset (Bundle Batch 20) LatBins[43.00~49.00]

description: This dataset contains experimental results from the paper 'LLM4Weather: Global 10-min Meteorological Temporal Super-Resolution via Large Language Models for Data Gap Filling'.

The data includes global meteorological gap-filling outputs at 10-minute resolution. Files are archived per latitude as .tar.gz bundles.
DOI: 10.5281/zenodo.17337265
title: LLM4Weather Dataset (Bundle Batch 20) LatBins[43.00~49.00]

description: This dataset contains experimental results from the paper 'LLM4Weather: Global 10-min Meteorological Temporal Super-Resolution via Large Language Models for Data Gap Filling'.

The data includes global meteorological gap-filling outputs at 10-minute resolution. Files are archived per latitude as .tar.gz bundles.
DOI: 10.5281/zenodo.15864698
title: Dataset for machine learning-based wave height error predictions around the Iberian Peninsula

description: This dataset was created under the frame of the Portuguese project DAMA - DAta assimilation and MAchine learning for improving wave forecast systems  (https://doi.org/10.54499/2023.14738.PEX) that aims to investigate the suitability of machine learning techniques to predict the error of wave height forecast systems at specific locations. Afterwards, the forecast predictions can be adjusted to minimize discrepancies with observations.

This dataset contains information from more than 30 stations along the Iberian Peninsula and has three main subcategories: wave parameter model predictions, wave and meteorological data observations and meteorological model predictions. 



Wave predictions were extracted from the AIB system of Puertos del Estado (open source). Here 13 variables are included.

Wave and meteorological observations collected by buoys managed by Puertos del Estado e Instituto Hidrográfico. Data was extracted from the In Situ TAC portal of the Copernicus Marine Service. The number of avaialable variables varies based on the type of equipment and location.

Meteorological predictions were produced by MeteoGaliza and they are freely avaialable.  Six variables are included.


In total, the dataset has up to 138 variables per station and and it covers from 2018-10-11 to 2025-03-31.  The temporal frequency is not constant and for each day, data was collected at 00:00 (midnight), 06:00, and 12:00 (midday).

Observations were assessed and outliers were removed.
DOI: 10.5281/zenodo.15864697
title: Dataset for machine learning-based wave height error predictions around the Iberian Peninsula

description: This dataset was created under the frame of the Portuguese project DAMA - DAta assimilation and MAchine learning for improving wave forecast systems  (https://doi.org/10.54499/2023.14738.PEX) that aims to investigate the suitability of machine learning techniques to predict the error of wave height forecast systems at specific locations. Afterwards, the forecast predictions can be adjusted to minimize discrepancies with observations.

This dataset contains information from more than 30 stations along the Iberian Peninsula and has three main subcategories: wave parameter model predictions, wave and meteorological data observations and meteorological model predictions. 



Wave predictions were extracted from the AIB system of Puertos del Estado (open source). Here 13 variables are included.

Wave and meteorological observations collected by buoys managed by Puertos del Estado e Instituto Hidrográfico. Data was extracted from the In Situ TAC portal of the Copernicus Marine Service. The number of avaialable variables varies based on the type of equipment and location.

Meteorological predictions were produced by MeteoGaliza and they are freely avaialable.  Six variables are included.


In total, the dataset has up to 138 variables per station and and it covers from 2018-10-11 to 2025-03-31.  The temporal frequency is not constant and for each day, data was collected at 00:00 (midnight), 06:00, and 12:00 (midday).

Observations were assessed and outliers were removed.
DOI: 10.5281/zenodo.17316298
title: MERS-CoV Pan-Genomic Consensus and Evolutionary Constraint Analysis (n=1,746): Codon Usage, Saltation, and DPP4 Interface Stability
title: MERS-CoV is Not Host-Adapted: Evidence of Evolutionary Constraint from Codon-Level Genomic Surveillance (n=1,746)

description: This dataset supports an upcoming manuscript titled "MERS-CoV is Not Host-Adapted: Evidence of Evolutionary Constraint from Codon-Level Genomic Surveillance (n=1,746)"

We present:

A de novo pan-genomic consensus sequence of MERS-CoV constructed from 1,746 publicly available genomes (2012 - 2023), trimmed to the canonical length of 30,118 nt.

Per-genome saltation metrics (mutation burden relative to both NCBI reference NC_019843.3 and our consensus) for structural genes S, E, M, N.

Codon-level evolutionary metrics for all genomes: CAI, ENc, GC3, PR2 bias, CpG/UpA suppression, and Shannon entropy at DPP4 receptor-binding and monoclonal antibody (mAb) epitope residues.

A synthetic codon-permissive MERS-CoV genome generated within observed natural constraints (no human optimization, no furin cleavage site).

Audit report of critical Spike residues (positions 499 to 556), confirming evolutionary stability of functional domains.

This resource enables:

Independent validation of MERS-CoV’s lack of host-adaptive codon usage.Assessment of zoonotic risk based on mutational readiness rather than translational efficiency.Benchmarking for vaccine and mAb design against conserved, low-entropy epitopes.All analyses were performed using open, reproducible pipelines (Python/Biopython).

The consensus genome and full metric tables are provided to support global genomic surveillance and pandemic preparedness efforts.

 

The related files in this dataset will be public once the journal article is published.

 

Data processed and curation by: TahirHB@Hotmail.Com
description: This dataset forms an integral component of a broader comparative virology initiative investigating the dichotomy between evolutionary readiness and host-adaptive optimization in high-consequence respiratory pathogens. Our analyses spanning codon usage bias (CUB), CpG/UpA dinucleotide suppression, translational efficiency metrics (CAI, tAI), and mutational entropy landscapes reveal that pandemic potential is not contingent upon host-optimized genomic signatures, but rather on pre-existing zoonotic reservoirs harboring variants with permissive mutational architectures.

Notably, influenza A(H5N1) exhibits emergent hallmarks of mammalian translational compatibility (CAI ≈ 0.22 in recent bovine isolates, Bhatti 2025 Dataset), coupled with reduced CpG-mediated host restriction and stable polymerase fidelity features absent in MERS-CoV and only partially acquired by SARS-CoV-2 post-spillover. These genomic attributes, observed in the context of expanding spillover into cattle and humans, position H5N1 as a pathogen of high evolutionary readiness, warranting intensified surveillance as a credible candidate for the next pandemic incursion.
DOI: 10.5281/zenodo.17316299
title: MERS-CoV Pan-Genomic Consensus and Evolutionary Constraint Analysis (n=1,746): Codon Usage, Saltation, and DPP4 Interface Stability
title: MERS-CoV is Not Host-Adapted: Evidence of Evolutionary Constraint from Codon-Level Genomic Surveillance (n=1,746)

description: This dataset supports an upcoming manuscript titled "MERS-CoV is Not Host-Adapted: Evidence of Evolutionary Constraint from Codon-Level Genomic Surveillance (n=1,746)"

We present:

A de novo pan-genomic consensus sequence of MERS-CoV constructed from 1,746 publicly available genomes (2012 - 2023), trimmed to the canonical length of 30,118 nt.

Per-genome saltation metrics (mutation burden relative to both NCBI reference NC_019843.3 and our consensus) for structural genes S, E, M, N.

Codon-level evolutionary metrics for all genomes: CAI, ENc, GC3, PR2 bias, CpG/UpA suppression, and Shannon entropy at DPP4 receptor-binding and monoclonal antibody (mAb) epitope residues.

A synthetic codon-permissive MERS-CoV genome generated within observed natural constraints (no human optimization, no furin cleavage site).

Audit report of critical Spike residues (positions 499 to 556), confirming evolutionary stability of functional domains.

This resource enables:

Independent validation of MERS-CoV’s lack of host-adaptive codon usage.Assessment of zoonotic risk based on mutational readiness rather than translational efficiency.Benchmarking for vaccine and mAb design against conserved, low-entropy epitopes.All analyses were performed using open, reproducible pipelines (Python/Biopython).

The consensus genome and full metric tables are provided to support global genomic surveillance and pandemic preparedness efforts.

 

The related files in this dataset will be public once the journal article is published.

 

Data processed and curation by: TahirHB@Hotmail.Com
description: This dataset forms an integral component of a broader comparative virology initiative investigating the dichotomy between evolutionary readiness and host-adaptive optimization in high-consequence respiratory pathogens. Our analyses spanning codon usage bias (CUB), CpG/UpA dinucleotide suppression, translational efficiency metrics (CAI, tAI), and mutational entropy landscapes reveal that pandemic potential is not contingent upon host-optimized genomic signatures, but rather on pre-existing zoonotic reservoirs harboring variants with permissive mutational architectures.

Notably, influenza A(H5N1) exhibits emergent hallmarks of mammalian translational compatibility (CAI ≈ 0.22 in recent bovine isolates, Bhatti 2025 Dataset), coupled with reduced CpG-mediated host restriction and stable polymerase fidelity features absent in MERS-CoV and only partially acquired by SARS-CoV-2 post-spillover. These genomic attributes, observed in the context of expanding spillover into cattle and humans, position H5N1 as a pathogen of high evolutionary readiness, warranting intensified surveillance as a credible candidate for the next pandemic incursion.
DOI: 10.15468/dl.xcgphb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-50 -40,-40 -40,-40 -30,-50 -30,-50 -40))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014159-251009101135966/datasets/export for details.
DOI: 10.15468/dl.bp8ze5
title: Occurrence Download

description: A dataset containing 2626398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Africa)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Observation.org, Nature data from around the World)",
 "TaxonKey is one of (Vanellus vanellus, Ciconia ciconia)",
 "Year 2000-2024"
 ]
}

 The dataset includes 2626398 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014113-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3j7684
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 (Draba oligosperma)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014162-251009101135966/datasets/export for details.
DOI: 10.5281/zenodo.17342273
title: HANDBOOK OF AI TOOLS (Shaping the future of Work: A Curated Guide to AI Applications and Innovation)

description: The twenty-first century is witnessing an extraordinary transformation driven by Artificial

Intelligence (AI). From classrooms to research laboratories and professional workplaces, AI

is redefining how we learn, think, and create. What was once considered futuristic has now

become an integral part of everyday study, communication, and innovation.

This book, AI Tools Handbook, serves as a comprehensive guide to some of the most

effective AI-based tools available today. It brings together a wide range of applications that

simplify learning, enhance research, improve writing, assist in data management, and support

creative and professional growth. Each tool has been carefully curated to meet the diverse needs

of students, educators, researchers, and professionals across various disciplines.

The purpose of this compilation is not merely to introduce technology, but to empower users

to use it wisely and effectively. By learning to apply these AI tools, readers can save time,

increase productivity, and approach problem-solving with creativity and confidence. Every

section in this handbook provides a concise overview, practical steps, and direct links to help

users quickly integrate AI into their academic, professional, and personal pursuits.

As AI continues to evolve, its responsible and intelligent use will define the future of learning

and work. This handbook encourages readers to explore these innovations with curiosity,

ethical awareness, and a lifelong commitment to learning.

May this book serve as a reliable companion for all who seek to harness the potential of AI -

not as a replacement for human intelligence, but as a partner that amplifies it.
DOI: 10.5281/zenodo.17342274
title: HANDBOOK OF AI TOOLS (Shaping the future of Work: A Curated Guide to AI Applications and Innovation)

description: The twenty-first century is witnessing an extraordinary transformation driven by Artificial

Intelligence (AI). From classrooms to research laboratories and professional workplaces, AI

is redefining how we learn, think, and create. What was once considered futuristic has now

become an integral part of everyday study, communication, and innovation.

This book, AI Tools Handbook, serves as a comprehensive guide to some of the most

effective AI-based tools available today. It brings together a wide range of applications that

simplify learning, enhance research, improve writing, assist in data management, and support

creative and professional growth. Each tool has been carefully curated to meet the diverse needs

of students, educators, researchers, and professionals across various disciplines.

The purpose of this compilation is not merely to introduce technology, but to empower users

to use it wisely and effectively. By learning to apply these AI tools, readers can save time,

increase productivity, and approach problem-solving with creativity and confidence. Every

section in this handbook provides a concise overview, practical steps, and direct links to help

users quickly integrate AI into their academic, professional, and personal pursuits.

As AI continues to evolve, its responsible and intelligent use will define the future of learning

and work. This handbook encourages readers to explore these innovations with curiosity,

ethical awareness, and a lifelong commitment to learning.

May this book serve as a reliable companion for all who seek to harness the potential of AI -

not as a replacement for human intelligence, but as a partner that amplifies it.
DOI: 10.15468/dl.5zrh98
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 -40,-50 -40,-50 -30,-60 -30,-60 -40))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014161-251009101135966/datasets/export for details.
DOI: 10.15468/dl.nsdt4y
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-20 30,-10 30,-10 40,-20 40,-20 30))"
 ]
}

 The dataset includes 348 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014163-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgku96
title: Occurrence Download

description: A dataset containing 5265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-10 30,0 30,0 40,-10 40,-10 30))"
 ]
}

 The dataset includes 5265 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014164-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2n6b3
title: Occurrence Download

description: A dataset containing 15575 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dianthus caryophyllus"
 ]
}

 The dataset includes 15575 records from 426 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014160-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/nlirfb
title: Dataser for "nforme sobre Inseguridad Ciudadana en España"

description: La finalidad de este informe es analizar las causas de la creciente sensación de inseguridad presente en numerosos barrios de las principales ciudades españolas. No se trata de un fenómeno exclusivo de una ciudad concreta, sino de un patrón que se repite con gran similitud en diferentes entornos urbanos, tanto en los hechos como en las circunstancias que los acompañan. Por ello, un plan de respuesta como el que se propone tras este análisis resultaría aplicable de forma general, con las adaptaciones necesarias a las particularidades de cada ciudad y de cada barrio.
DOI: 10.15468/dl.kz7yef
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dalbergia hostilis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 369 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014165-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13371642
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.92ftpv
title: Occurrence Download

description: A dataset containing 5228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 30,10 30,10 40,0 40,0 30))"
 ]
}

 The dataset includes 5228 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014167-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8kcye
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alternanthera bettzickiana",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014168-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.