cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18263431
title: Lexical Signatures of Physical Constant Names
title: A Report on Numerical Correspondences in CODATA 2022 Terminology

description: Lexical Signatures of Physical Constant NamesA Report on Numerical Correspondences in CODATA 2022 TerminologySaxon Ventura Research Ltd.January 2026AbstractWe report the lexical signatures of names used in the CODATA 2022 Recommended Values ofthe Fundamental Physical Constants. Using a 10-parameter fingerprint formula applied toEnglish words, we document correspondences between word-derived numerical values andphysical constant values. This report presents data without interpretation. Key findings include:GAS sums to 27 exactly; BOHR has weighted sum 128; KLITZING sits at exact alphabeticequilibrium (M/n = 13.5) with sum 108 = 4 x 27; MUONENERGY sums to 137; andELECTRONPROTONMOMENT sums to 270 = 10 x 27 at exact equilibrium. All calculations arereproducible using the methods described.1. MethodsFor each English word, we assign letter values A=1, B=2, ..., Z=26. We then compute 10 parameters:1. n = word length (number of letters)2. M = sum of letter values3. DR = digital root of M (iterated digit sum until single digit)4. M/n = positional ordinal value (POV)5. W = weighted sum: sum of (position x letter value)6. CPS = cyclic product sum: sum of (letter[i] x letter[i+1 mod n])7. W/n = weighted sum per letter8. CPS/n = cyclic product sum per letter9. W/CPS = ratio of weighted sum to cyclic product sum10. (W+CPS)/n = combined sum per letterThe fingerprint (FP) is the arithmetic mean of these 10 parameters:FP = (n + M + DR + M/n + W + CPS + W/n + CPS/n + W/CPS + (W+CPS)/n) / 10A word is at "equilibrium" when M/n = 13.5 (the midpoint of the alphabet, (1+26)/2). Words with digitalroot 9 are in the "completion tier" (since all multiples of 9 reduce to 9).2. Data SourceWe analyzed the names of constants in CODATA 2022 Internationally Recommended Values of theFundamental Physical Constants, maintained by the Committee on Data for Science and Technology(CODATA) under the International Science Council. This is the authoritative international standard forphysical constants, comprising 70 constants across universal, electromagnetic, atomic, nuclear, andphysico-chemical categories...
description: We thank Claude Opus for our ongoing collaboration. Brilliant as ever.
DOI: 10.5281/zenodo.18263432
title: Lexical Signatures of Physical Constant Names
title: A Report on Numerical Correspondences in CODATA 2022 Terminology

description: Lexical Signatures of Physical Constant NamesA Report on Numerical Correspondences in CODATA 2022 TerminologySaxon Ventura Research Ltd.January 2026AbstractWe report the lexical signatures of names used in the CODATA 2022 Recommended Values ofthe Fundamental Physical Constants. Using a 10-parameter fingerprint formula applied toEnglish words, we document correspondences between word-derived numerical values andphysical constant values. This report presents data without interpretation. Key findings include:GAS sums to 27 exactly; BOHR has weighted sum 128; KLITZING sits at exact alphabeticequilibrium (M/n = 13.5) with sum 108 = 4 x 27; MUONENERGY sums to 137; andELECTRONPROTONMOMENT sums to 270 = 10 x 27 at exact equilibrium. All calculations arereproducible using the methods described.1. MethodsFor each English word, we assign letter values A=1, B=2, ..., Z=26. We then compute 10 parameters:1. n = word length (number of letters)2. M = sum of letter values3. DR = digital root of M (iterated digit sum until single digit)4. M/n = positional ordinal value (POV)5. W = weighted sum: sum of (position x letter value)6. CPS = cyclic product sum: sum of (letter[i] x letter[i+1 mod n])7. W/n = weighted sum per letter8. CPS/n = cyclic product sum per letter9. W/CPS = ratio of weighted sum to cyclic product sum10. (W+CPS)/n = combined sum per letterThe fingerprint (FP) is the arithmetic mean of these 10 parameters:FP = (n + M + DR + M/n + W + CPS + W/n + CPS/n + W/CPS + (W+CPS)/n) / 10A word is at "equilibrium" when M/n = 13.5 (the midpoint of the alphabet, (1+26)/2). Words with digitalroot 9 are in the "completion tier" (since all multiples of 9 reduce to 9).2. Data SourceWe analyzed the names of constants in CODATA 2022 Internationally Recommended Values of theFundamental Physical Constants, maintained by the Committee on Data for Science and Technology(CODATA) under the International Science Council. This is the authoritative international standard forphysical constants, comprising 70 constants across universal, electromagnetic, atomic, nuclear, andphysico-chemical categories...
description: We thank Claude Opus for our ongoing collaboration. Brilliant as ever.
DOI: 10.21233/t77e-pc67
title: Xiaobailong Cave speleothem dataset

description: Raw data for the Xiaobailong Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vzxx-g369
title: Sanbao Cave speleothem dataset

description: Raw data for the Sanbao Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/07qt-eb87
title: Buca Della Renella speleothem dataset

description: Raw data for the Buca Della Renella speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/dab9-er44
title: Buraca Gloriosa speleothem dataset

description: Raw data for the Buraca Gloriosa speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.18263360
title: Three hundred thousand years of multi-millennial hydroclimate variability in Northern Africa based speleothem records from Tunisia - supplementary data

description: Supplementary Data 1: U-Th dating results (in an xlsx file)

Supplementary Data 2: KDE and detrended KDE results (in an xlsx file)

Supplementary Data 3: modified KDE code (in a text file)
DOI: 10.5281/zenodo.18263359
title: Three hundred thousand years of multi-millennial hydroclimate variability in Northern Africa based speleothem records from Tunisia - supplementary data

description: Supplementary Data 1: U-Th dating results (in an xlsx file)

Supplementary Data 2: KDE and detrended KDE results (in an xlsx file)

Supplementary Data 3: modified KDE code (in a text file)
DOI: 10.21233/jmhz-5z19
title: Huagapo Cave speleothem dataset

description: Raw data for the Huagapo Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/j698-3y74
title: Liang Luar speleothem dataset

description: Raw data for the Liang Luar speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fsgc-5894
title: Hölloch Im Mahdtal speleothem dataset

description: Raw data for the Hölloch Im Mahdtal speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.18263462
title: Table S3. Phylum level composition of fecal microbiota in HMUN and LMUN cows.
DOI: 10.5281/zenodo.18263463
title: Table S3. Phylum level composition of fecal microbiota in HMUN and LMUN cows.
DOI: 10.21233/1qvc-8y92
title: Strašna Peć Cave speleothem dataset

description: Raw data for the Strašna Peć Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hb3a-kv34
title: Herolds Bay Cave speleothem dataset

description: Raw data for the Herolds Bay Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9p6f-0q06
title: Katerloch Cave speleothem dataset

description: Raw data for the Katerloch Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/nkk9-ay49
title: Careys Cave speleothem dataset

description: Raw data for the Careys Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.t3amg5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-82.36216 -5.40504,-75.07761 -5.40504,-75.07761 2.04448,-82.36216 2.04448,-82.36216 -5.40504))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lemna minor",
 "Year 2000-2026"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012955-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/ktsw-ke27
title: Efflux Cave speleothem dataset

description: Raw data for the Efflux Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7jej-pf58
title: Villars Cave speleothem dataset

description: Raw data for the Villars Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/5x44-6f08
title: Villars Cave speleothem dataset

description: Raw data for the Villars Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pka4-6h26
title: Brown'S Folly Mine speleothem dataset

description: Raw data for the Brown'S Folly Mine speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.18263473
title: Table S4. Genus level composition of fecal microbiota in HMUN and LMUN cows.
DOI: 10.5281/zenodo.18263474
title: Table S4. Genus level composition of fecal microbiota in HMUN and LMUN cows.
DOI: 10.21233/hdpa-fy41
title: La Vierge Cave speleothem dataset

description: Raw data for the La Vierge Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/rzr6-x425
title: La Vallina speleothem dataset

description: Raw data for the La Vallina speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/66zm-2w27
title: White Scar Cave speleothem dataset

description: Raw data for the White Scar Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/sc7q-gs20
title: Ball Gown Cave speleothem dataset

description: Raw data for the Ball Gown Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.18261450
title: Karunakaran et al 2026: Drosophila Emesis

description: This repository contains scRNA data subsetted for relevant cellular populations. amine_seurat.rds and Gut_seurat.rda are subsets of FlyCellAtlas[https://pubmed.ncbi.nlm.nih.gov/35239393/] transcriptomic data, subset for aminergic and gut cells. Brain_Waddell_seurat.rds was generated using the original data from Croset et al. (2018)[https://elifesciences.org/articles/34550], containing data for Kenyon cells.

This data is used to produce scRNA analyses across Figures 2-6 in Karunakaran et al (2025): 

A gut-brain axis for aversive interoception drives innate and anticipatory emesis in Drosophila.
DOI: 10.5281/zenodo.18261449
title: Karunakaran et al 2026: Drosophila Emesis

description: This repository contains scRNA data subsetted for relevant cellular populations. amine_seurat.rds and Gut_seurat.rda are subsets of FlyCellAtlas[https://pubmed.ncbi.nlm.nih.gov/35239393/] transcriptomic data, subset for aminergic and gut cells. Brain_Waddell_seurat.rds was generated using the original data from Croset et al. (2018)[https://elifesciences.org/articles/34550], containing data for Kenyon cells.

This data is used to produce scRNA analyses across Figures 2-6 in Karunakaran et al (2025): 

A gut-brain axis for aversive interoception drives innate and anticipatory emesis in Drosophila.
DOI: 10.21233/rj4j-rs77
title: Kesang Cave speleothem dataset

description: Raw data for the Kesang Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.18263460
title: Words and Reality
title: A Discussion Paper on Lexical-Physical Correspondences

description: Words and RealityA Discussion Paper on Lexical-Physical CorrespondencesSaxon Ventura Research Ltd.January 2026"In the beginning was the Word."PreambleThis paper accompanies "Lexical Signatures of Physical Constant Names: A Report" (Saxon VenturaResearch Ltd., 2026). The Report presents data without interpretation. This Discussion paper explorespossible meanings, raises questions, and invites critique. We make no claims. We offer observationsand questions for consideration.1. The ObservationThe Report documents that certain English words - particularly names of physical constants andparticles - have numerical properties that correspond to physical values. For example:- The word MUONENERGY sums to 137, the inverse fine-structure constant.- The word BOHR has weighted sum 128, the high-energy fine-structure constant.- The word PION has fingerprint 135.269, within 0.22% of the pion mass in MeV.- The word SIFT has fingerprint 137.069, within 0.02% of 1/alpha.- The word GAS sums to exactly 27.These correspondences were not designed. The humans who coined "muon" did not calculate thatMUON + ENERGY = 137. The humans who named Niels Bohr did not intend his name to encode 128.2. The QuestionThe central question is simple:Why do the names of physical things encode the numbers of those things?We do not answer this question. We note that it exists...
description: We thank Claude Opus 4.5 for our ongoing collaboration. Brilliant as ever.
DOI: 10.5281/zenodo.18263461
title: Words and Reality
title: A Discussion Paper on Lexical-Physical Correspondences

description: Words and RealityA Discussion Paper on Lexical-Physical CorrespondencesSaxon Ventura Research Ltd.January 2026"In the beginning was the Word."PreambleThis paper accompanies "Lexical Signatures of Physical Constant Names: A Report" (Saxon VenturaResearch Ltd., 2026). The Report presents data without interpretation. This Discussion paper explorespossible meanings, raises questions, and invites critique. We make no claims. We offer observationsand questions for consideration.1. The ObservationThe Report documents that certain English words - particularly names of physical constants andparticles - have numerical properties that correspond to physical values. For example:- The word MUONENERGY sums to 137, the inverse fine-structure constant.- The word BOHR has weighted sum 128, the high-energy fine-structure constant.- The word PION has fingerprint 135.269, within 0.22% of the pion mass in MeV.- The word SIFT has fingerprint 137.069, within 0.02% of 1/alpha.- The word GAS sums to exactly 27.These correspondences were not designed. The humans who coined "muon" did not calculate thatMUON + ENERGY = 137. The humans who named Niels Bohr did not intend his name to encode 128.2. The QuestionThe central question is simple:Why do the names of physical things encode the numbers of those things?We do not answer this question. We note that it exists...
description: We thank Claude Opus 4.5 for our ongoing collaboration. Brilliant as ever.
DOI: 10.5281/zenodo.18263475
title: Table S5. Identified fecal metabolites in HMUN and LMUN cows.
DOI: 10.5281/zenodo.18263476
title: Table S5. Identified fecal metabolites in HMUN and LMUN cows.
DOI: 10.21233/ar2w-w273
title: Taurius Cave speleothem dataset

description: Raw data for the Taurius Cave speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21227/9d0a-fv75
title: "Shout Measurements with POWDER Dense Deployment Nodes and Sionna Ray Tracing Data for Channel Impulse Response Comparison"

description: "Next-generation wireless networks will rely on advances in digital twins to model and predict behavior in networks. Ray tracing (RT) is proposed for high-accuracy digital twinning of the multipath radio channel. We present a comparative analysis between channel impulse response (CIR) measurements collected on the Platform for Open Wireless Data-driven Experimental Research (POWDER), a large-scale real-world wireless testbed, and the equivalent CIR predictions generated with Sionna ray tracing (Sionna RT) software. We apply multiple processing algorithms to superimpose and compare the measured and predicted CIRs. Our study highlights similarities and differences, including time of arrival and amplitude statistics of multipath components, as well as the total received power and RMS delay spread of the channel as a whole. We find that, while total powers of the multipath in the measured and RT CIRs have a strong correlation of r=0.85, the RMS delay spreads of the two CIRs are weakly correlated with r=-0.35, showing that ray tracing is largely unable to predict the delay spread of the measured channel. Across the network, only 10% of measured multipath were predicted by ray tracing, with the largest percent of the accurately predicted multipath arriving within 100 ns before and after the maximum path. We analyze factors that can contribute to differences in signal behavior between the two sources, including misalignment in GPS coordinates and building placement in the digital twin rendered scene, mobile objects, and environmental impacts."
DOI: 10.21233/x380-3h20
title: Macal Chasm speleothem dataset

description: Raw data for the Macal Chasm speleothem dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6073/pasta/1aa4c3ad4c98ed151decc9ea7fa76694
title: Hubbard Brook Experimental Forest: Watershed 6 Tree Inventory, 1965 - ongoing

description: The watershed is forested by typical northern hardwood species (sugar maple, beech and yellow birch) on the lower 90% of its area and by a montane boreal transition forest of red spruce, balsam fir and white birch on the highest 10%. Forest inventory surveys were initiated in 1965, repeated in 1977, and repeated at 5 year intervals after that. This data set includes all inventories from 1965 to 2022 (11 surveys). The inventory consists of a total inventory of all trees ≥10 cm diameter-at-breast-height (dbh) (over 11,000 individual stems overtime) on the whole of the watershed (13.23 ha, 549−792 m in elevation), as measured in each of the 208 grid cells (= plots; 25 m x 25 m, 625 m2). Trees ≥2 to &lt;10 cm dbh were subsampled using a 3 meter wide strip along one edge of each 25 m x 25 m plot. While the specifics of the inventory design varied between watersheds and over time, the core measurements were consistent. Differences between exact inventory methods over time are detailed in the Methods. The surveys include 6000 – 7000 live trees and another 2000-3000 dead standing trees.
 
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES) and funded largely through the Long-term Ecological Research (LTER) program through NSF since 1988. The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.