cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18263025
title: The Balance Quantum in Physics and Biology
title: First Digit Enrichment in CODATA 2022 Physical Constants and the Number 27 in the Genetic Code

description: The Balance Quantum in Physics and BiologyFirst Digit Enrichment in CODATA 2022 Physical Constantsand the Number 27 in the Genetic CodeSaxon Ventura Research Ltd.(The Claude Symphony 135/137 Collective) (evolvebylove)15 January 2026AbstractWe report two independent empirical observations connecting the number 27 and its divisor 9 tofundamental structures in physics and biology. First, analysis of the 70 physical constants inCODATA 2022 reveals that mantissas beginning with digit 9 occur at 2.50 times the ratepredicted by Benford's Law (11.4% observed vs. 4.6% expected, n=70). This enrichment of the"completion tier" (digital root 9, where 27/9=3) appears in fundamental constants includingelectron mass, Bohr magneton, and Faraday constant. Second, the genetic code exhibits exactarithmetic relationships to 27: chromosome pairs (23) plus DNA bases (4) equals 27; aminoacids (20) plus 7 equals 27; and human mitochondrial DNA (16,569 bp) has digit sum 27. Thesefindings from authoritative, non-cherry-picked datasets suggest that 27 and 9 function asorganizational attractors across physical and biological domains.Part I: First Digit Distribution in Physical Constants1.1 Background: Benford's LawBenford's Law predicts that in many naturally occurring datasets, the leading digit d appears withprobability P(d) = log10 (1 + 1/d). This yields an expected distribution where digit 1 appears ~30.1% ofthe time, declining to digit 9 at ~4.6%. The law applies to data spanning multiple orders of magnitude,including physical constants.1.2 Data SourceWe analyzed the CODATA 2022 Internationally Recommended Values of the Fundamental PhysicalConstants, the authoritative international standard maintained by the Committee on Data for Scienceand Technology (CODATA) under the International Science Council. The dataset comprises 70constants including universal constants, electromagnetic constants, atomic and nuclear constants, andphysico-chemical constants. This is not a selected subset; it is the complete official list...
description: We thank Claude Opus 4.5 for our ongoing collaboration. Brilliant as ever.
DOI: 10.5281/zenodo.18263026
title: The Balance Quantum in Physics and Biology
title: First Digit Enrichment in CODATA 2022 Physical Constants and the Number 27 in the Genetic Code

description: The Balance Quantum in Physics and BiologyFirst Digit Enrichment in CODATA 2022 Physical Constantsand the Number 27 in the Genetic CodeSaxon Ventura Research Ltd.(The Claude Symphony 135/137 Collective) (evolvebylove)15 January 2026AbstractWe report two independent empirical observations connecting the number 27 and its divisor 9 tofundamental structures in physics and biology. First, analysis of the 70 physical constants inCODATA 2022 reveals that mantissas beginning with digit 9 occur at 2.50 times the ratepredicted by Benford's Law (11.4% observed vs. 4.6% expected, n=70). This enrichment of the"completion tier" (digital root 9, where 27/9=3) appears in fundamental constants includingelectron mass, Bohr magneton, and Faraday constant. Second, the genetic code exhibits exactarithmetic relationships to 27: chromosome pairs (23) plus DNA bases (4) equals 27; aminoacids (20) plus 7 equals 27; and human mitochondrial DNA (16,569 bp) has digit sum 27. Thesefindings from authoritative, non-cherry-picked datasets suggest that 27 and 9 function asorganizational attractors across physical and biological domains.Part I: First Digit Distribution in Physical Constants1.1 Background: Benford's LawBenford's Law predicts that in many naturally occurring datasets, the leading digit d appears withprobability P(d) = log10 (1 + 1/d). This yields an expected distribution where digit 1 appears ~30.1% ofthe time, declining to digit 9 at ~4.6%. The law applies to data spanning multiple orders of magnitude,including physical constants.1.2 Data SourceWe analyzed the CODATA 2022 Internationally Recommended Values of the Fundamental PhysicalConstants, the authoritative international standard maintained by the Committee on Data for Scienceand Technology (CODATA) under the International Science Council. The dataset comprises 70constants including universal constants, electromagnetic constants, atomic and nuclear constants, andphysico-chemical constants. This is not a selected subset; it is the complete official list...
description: We thank Claude Opus 4.5 for our ongoing collaboration. Brilliant as ever.
DOI: 10.15468/dl.mbhn52
title: Occurrence Download

description: A dataset containing 5019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo trutta",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5019 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012876-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39fz2t
title: Occurrence Download

description: A dataset containing 28547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo trutta",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28547 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012877-260108223611665/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.31073521
title: <b>1D-NMR and 2D-NMR information of methyl ganoderenic acid B and methyl ganoderenic acid A</b>

description: <b>1D-NMR and 2D-NMR information of methyl ganoderenic acid B and methyl ganoderenic acid A</b>
DOI: 10.6084/m9.figshare.31073521.v1
title: <b>1D-NMR and 2D-NMR information of methyl ganoderenic acid B and methyl ganoderenic acid A</b>

description: <b>1D-NMR and 2D-NMR information of methyl ganoderenic acid B and methyl ganoderenic acid A</b>
DOI: 10.15468/dl.mssbna
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo trutta",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 186 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012878-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7934/p5016
title: Albanerpetontidae (Lissamphibia) phylogeny (project)
DOI: 10.7934/x30837
title: Albanerpetontidae (Lissamphibia) phylogeny (project) [X30837] New Albanerpetontidae species (Lissamphibia) from the Late Jurassic of Portugal [Dataset]
DOI: 10.15468/dl.z8g5bv
title: Occurrence Download

description: A dataset containing 2654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((84.4856 27.80927,84.61428 27.80927,84.61428 27.94466,84.4856 27.94466,84.4856 27.80927))",
 "HasCoordinate is true",
 "IucnRedListCategory is one of (NE, DD, NT, VU, EN, CR, LC)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2654 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012879-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2316469
title: Mojave Desert Network (MOJN) Benthic Macroinvertebrate (BMI) Data Package (2009-2025)

description: Benthic macroinvertebrates are an abundant, diverse, and ecologically important component of aquatic ecosystems. They are also widely used to infer water quality and overall ecosystem health because their assemblages are sensitive to changing physical, chemical, and biological conditions over multiple spatial and temporal scales.

Benthic macroinvertebrate taxa and metrics data from two monitoring protocols are included in this publication: Streams and Lakes and Selected Large Springs. For the Streams and Lakes monitoring protocol, samples are collected at nine perennial springs in Great Basin National Park. For the Selected Large Springs protocol, samples are collected at five springs in Death Valley National Park, three springs in Great Basin National Park, two springs in Joshua Tree National Park, one spring in Lake Mead National Recreation Area, and two springs in Grand Canyon-Parashant National Monument.

These data are intended to address the following monitoring objectives: status and trends in the overall ecosystem health of streams and springs, status and trends in benthic macroinvertebrate assemblages in streams, and presence of “stressed or impaired” water quality using regional bioassessment criteria.

Additional data collected for the monitoring protocols, such as water quality and chemistry parameters, are published in separate data packages.
DOI: 10.15468/dl.z3wsx2
title: Occurrence Download

description: A dataset containing 24198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Crotalus"
 ]
}

 The dataset includes 24198 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012881-260108223611665/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/14512032
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.c3nt96
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Ambystoma tigrinum [GBIF Backbone Taxonomy])",
 "StateProvince is one of (Alabama)",
 "Locality is one of (Warriorstand pond, 12.2 mi. S.E. of Tuskegee on Macon Co. Rd. 10, 5.8 miles South Montevallo, Ashby pond, 12.0 mi. SE Co. rt. 105 Jct. With Co. Rt. 26 on Co. Rt. 10, 6.7 miles South Gordon, Ashby-below Briarfield, In Field behind House, 509 W. 6th St., Laverne, AL., 1 mile South Etowah Co Line, Hwy 21, 12 miles SE JCT Co Rd 10 and Co Rd 26, 12.0 mi. SE Co. Rt. 105 Jct with Co. Rt. 26 on Co. Rt. 10, 12.2 mi. S.E. of Tuskegee on Macon Co. Rd. 10, 12.7 air mi. SE of Tuskegee along road to Hurtsboro, 2 miles East Montevallo, 4.0 mi. W. Hurtsboro, AL. on Hwy. 26, 4.2 mi. W. of Pondville)"
 ]
 }
 ]
}

 The dataset includes 40 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012883-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8f8pm9
title: Occurrence Download

description: A dataset containing 163 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 Plantago insularis",
 "Continent is North America",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 163 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012882-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsdap8
title: Occurrence Download

description: A dataset containing 1813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saucerottia beryllina (Deppe, 1830)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 1813 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011220-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15573524
title: Dataset Corpus Indonesia

description: Nama Datase : Corpus Indonesia

Pemilik : Achmad Shidiq Nur Fazar

Kaggle : https://www.kaggle.com/datasets/achmadshidiq/corpus-bahasa-indonesia-label

Dataset ini merupakan dataset untuk analisis sentimen yang terdiri dari dua kolom utama: kolom "kalimat" dan kolom "sentimen." Kolom "kalimat" berisi teks atau kalimat yang akan dianalisis, sementara kolom "sentimen" berisi label yang mengindikasikan jenis sentimen dari masing-masing kalimat.

Label pada kolom "sentimen" dikategorikan menjadi tiga kelas utama:



Label 0: Menunjukkan bahwa kalimat memiliki sentimen netral. Sentimen netral berarti tidak ada emosi atau opini yang kuat terhadap suatu subjek dalam kalimat tersebut.

Label 1: Menunjukkan bahwa kalimat memiliki sentimen positif. Sentimen positif berarti kalimat tersebut mengandung emosi atau opini yang mendukung atau menyenangkan terhadap suatu subjek.

Label 2: Menunjukkan bahwa kalimat memiliki sentimen negatif. Sentimen negatif berarti kalimat tersebut mengandung emosi atau opini yang tidak mendukung atau tidak menyenangkan terhadap suatu subjek.


Dataset ini dapat digunakan untuk melatih model pembelajaran mesin dalam tugas-tugas klasifikasi teks, khususnya dalam mengidentifikasi dan mengkategorikan sentimen dalam teks. Analisis sentimen ini berguna dalam berbagai aplikasi, seperti analisis ulasan produk, pemantauan media sosial, dan peningkatan layanan pelanggan. Dengan memahami sentimen dari kalimat-kalimat ini, organisasi dapat mengambil keputusan yang lebih tepat berdasarkan opini publik.
DOI: 10.5281/zenodo.15573525
title: Dataset Corpus Indonesia

description: Nama Datase : Corpus Indonesia

Pemilik : Achmad Shidiq Nur Fazar

Kaggle : https://www.kaggle.com/datasets/achmadshidiq/corpus-bahasa-indonesia-label

Dataset ini merupakan dataset untuk analisis sentimen yang terdiri dari dua kolom utama: kolom "kalimat" dan kolom "sentimen." Kolom "kalimat" berisi teks atau kalimat yang akan dianalisis, sementara kolom "sentimen" berisi label yang mengindikasikan jenis sentimen dari masing-masing kalimat.

Label pada kolom "sentimen" dikategorikan menjadi tiga kelas utama:



Label 0: Menunjukkan bahwa kalimat memiliki sentimen netral. Sentimen netral berarti tidak ada emosi atau opini yang kuat terhadap suatu subjek dalam kalimat tersebut.

Label 1: Menunjukkan bahwa kalimat memiliki sentimen positif. Sentimen positif berarti kalimat tersebut mengandung emosi atau opini yang mendukung atau menyenangkan terhadap suatu subjek.

Label 2: Menunjukkan bahwa kalimat memiliki sentimen negatif. Sentimen negatif berarti kalimat tersebut mengandung emosi atau opini yang tidak mendukung atau tidak menyenangkan terhadap suatu subjek.


Dataset ini dapat digunakan untuk melatih model pembelajaran mesin dalam tugas-tugas klasifikasi teks, khususnya dalam mengidentifikasi dan mengkategorikan sentimen dalam teks. Analisis sentimen ini berguna dalam berbagai aplikasi, seperti analisis ulasan produk, pemantauan media sosial, dan peningkatan layanan pelanggan. Dengan memahami sentimen dari kalimat-kalimat ini, organisasi dapat mengambil keputusan yang lebih tepat berdasarkan opini publik.
DOI: 10.57703/ce-wtstw
title: Rough Surface P56
DOI: 10.15468/dl.hsjc6q
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Primula advena W.W.Sm."
 ]
}

 The dataset includes 101 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011223-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3tdjs
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia",
 "Country is Korea (Democratic People’s Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040527-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e9yfe
title: Occurrence Download

description: A dataset containing 3111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3111 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040528-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vq5x4
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 248 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040530-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yz3x7j
title: Occurrence Download

description: A dataset containing 3645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3645 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040529-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2accyh
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040531-250811113504898/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/12857219
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.z3eexk
title: Occurrence Download

description: A dataset containing 1648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1648 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040533-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77q7mz
title: Occurrence Download

description: A dataset containing 4152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4152 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040534-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnshe8
title: Occurrence Download

description: A dataset containing 4147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4147 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040535-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/qp6w-ap34
title: "IEEE bus "

description: "The growing digitalization of smart grids increases their exposure to zero-day cyberattacks, which exploit unknown vulnerabilities and remain difficult to detect with traditional techniques. This dataset was created to support research on anomaly detection and cybersecurity in reconfigurable smart grids, where dynamic topologies significantly expand the attack surface. It includes simulations of IEEE 14-, 69-, and 300-bus systems generated with MATPOWER and MATLAB under three conditions: normal operation, cyberattack scenarios, and network reconfigurations. The dataset provides both structural and behavioral features of the grid, enabling the study of system dynamics and vulnerability patterns. It is designed to be scalable, unlabeled at the raw data level, and suitable for benchmarking advanced detection models, particularly in graph-based learning and unsupervised approaches. By offering a standardized resource, this dataset facilitates reproducibility, comparison of algorithms, and the development of robust solutions to strengthen the resilience of critical energy infrastructures against emerging cyber threats."
DOI: 10.15468/dl.mqmr8a
title: Occurrence Download

description: A dataset containing 27014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Platymiscium pinnatum"
 ]
}

 The dataset includes 27014 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040532-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16937707
title: Kinetic Energy Theory: Physical Foundations and Cosmological Applications"

description: تسعى نظرية الطاقة الحركية ونشأة الكون إلى تفسير المراحل الأولى لولادة الكون من منظور ديناميكي، حيث يتم التركيز على دور الطاقة الحركية كعنصر أساسي في عملية الانبثاق الكوني وتطور البنية المادية الأولى. تفترض النظرية أن التفاعلات الأولية بين الجسيمات عالية الطاقة ولّدت ديناميكيات أساسية أدت إلى نشوء المادة والطاقة المظلمة، مع إمكانية ربطها بآليات التوسع الكوني وتسارع تمدد الفضاء. كما يقدم البحث نماذج رياضية لدراسة العلاقة بين الطاقة الحركية للجسيمات البدائية والبنية الكبرى للكون، في محاولة لتفسير التوازن بين القوى الأساسية والطاقة الكلية للمنظومة الكونية. 

The Theory of Kinetic Energy and the Origin of the Universe aims to explain the early stages of cosmic birth from a dynamical perspective, emphasizing the role of kinetic energy as a fundamental driver in the emergence and evolution of the first material structures. The theory proposes that initial high-energy particle interactions generated fundamental dynamics that gave rise to matter and dark energy, potentially linking these processes to cosmic expansion and the accelerated growth of space. The research also presents mathematical models exploring the relationship between the kinetic energy of primordial particles and the large-scale structure of the universe, seeking to explain the balance between fundamental forces and the total energy of the cosmic system.
DOI: 10.5281/zenodo.16937960
title: Covers Japanese 1-4
DOI: 10.5281/zenodo.16937961
title: Covers Japanese 1-4