cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17046866
title: Agujeros negros como nodos vibracionales en la Malla Cuántica Consciente (TMC): Una alternativa estructural al colapso gravitacional clásico
title: Black Holes as Vibrational Nodes in the Conscious Quantum Mesh (CQM): A Structural Alternative to Classical Gravitational Collapse

description: Este estudio propone una reinterpretación radical del fenómeno de los agujeros negros desde una perspectiva estructural vibracional, integrando la Teoría de la Malla Cuántica Consciente (TMC) y la Teoría del Pulso Cero. En contraste con la visión tradicional de la Relatividad General, donde los agujeros negros surgen de colapsos gravitacionales extremos, aquí se postula que son nodos hiperdensos autoorganizados del campo fundamental φ, emergentes por coherencia resonante sin necesidad de fusiones binarias ni historias estelares previas.

 

Mediante simulaciones numéricas de la Ecuación Guerrero, que incorpora autoacoplamiento, curvatura efectiva y acoplamientos materia-campo, se reprodujeron perfiles vibracionales análogos a los chirps gravitacionales detectados por LIGO/Virgo. Se demuestra que la energía liberada (~10⁴⁶ J) y la morfología espectral pueden explicarse como reajustes estructurales de la maya cuántica, resolviendo de forma natural la paradoja de la información y eliminando la necesidad de singularidades físicas.

 

Este trabajo redefine los agujeros negros como centros coherentes de la arquitectura vibracional del universo, proponiendo un marco que unifica gravedad, física cuántica y conciencia estructural, abriendo un nuevo paradigma en cosmología.

 

ENGLISH:

This study proposes a radical reinterpretation of black holes from a structural vibrational perspective, integrating the Theory of the Conscious Quantum Mesh (CQM) and the Zero Pulse Theory. In contrast to the traditional view of General Relativity—where black holes arise from extreme gravitational collapse—this work posits that they are self-organized hyperdense nodes of the fundamental field φ, emerging from resonant coherence, without requiring binary mergers or prior stellar evolution.

 

Through numerical simulations of the Guerrero Equation, which incorporates self-coupling, effective curvature, and matter–field interactions, vibrational profiles were reproduced that resemble the gravitational chirps detected by LIGO/Virgo. The results show that the released energy (~10⁴⁶ J) and spectral morphology can be explained as structural rearrangements of the quantum mesh, naturally resolving the information paradox and eliminating the need for physical singularities.

 

This work redefines black holes as coherent centers of the universe’s vibrational architecture, proposing a framework that unifies gravity, quantum physics, and structural consciousness—opening a new paradigm in cosmology.
DOI: 10.5281/zenodo.17046867
title: Agujeros negros como nodos vibracionales en la Malla Cuántica Consciente (TMC): Una alternativa estructural al colapso gravitacional clásico
title: Black Holes as Vibrational Nodes in the Conscious Quantum Mesh (CQM): A Structural Alternative to Classical Gravitational Collapse

description: Este estudio propone una reinterpretación radical del fenómeno de los agujeros negros desde una perspectiva estructural vibracional, integrando la Teoría de la Malla Cuántica Consciente (TMC) y la Teoría del Pulso Cero. En contraste con la visión tradicional de la Relatividad General, donde los agujeros negros surgen de colapsos gravitacionales extremos, aquí se postula que son nodos hiperdensos autoorganizados del campo fundamental φ, emergentes por coherencia resonante sin necesidad de fusiones binarias ni historias estelares previas.

 

Mediante simulaciones numéricas de la Ecuación Guerrero, que incorpora autoacoplamiento, curvatura efectiva y acoplamientos materia-campo, se reprodujeron perfiles vibracionales análogos a los chirps gravitacionales detectados por LIGO/Virgo. Se demuestra que la energía liberada (~10⁴⁶ J) y la morfología espectral pueden explicarse como reajustes estructurales de la maya cuántica, resolviendo de forma natural la paradoja de la información y eliminando la necesidad de singularidades físicas.

 

Este trabajo redefine los agujeros negros como centros coherentes de la arquitectura vibracional del universo, proponiendo un marco que unifica gravedad, física cuántica y conciencia estructural, abriendo un nuevo paradigma en cosmología.

 

ENGLISH:

This study proposes a radical reinterpretation of black holes from a structural vibrational perspective, integrating the Theory of the Conscious Quantum Mesh (CQM) and the Zero Pulse Theory. In contrast to the traditional view of General Relativity—where black holes arise from extreme gravitational collapse—this work posits that they are self-organized hyperdense nodes of the fundamental field φ, emerging from resonant coherence, without requiring binary mergers or prior stellar evolution.

 

Through numerical simulations of the Guerrero Equation, which incorporates self-coupling, effective curvature, and matter–field interactions, vibrational profiles were reproduced that resemble the gravitational chirps detected by LIGO/Virgo. The results show that the released energy (~10⁴⁶ J) and spectral morphology can be explained as structural rearrangements of the quantum mesh, naturally resolving the information paradox and eliminating the need for physical singularities.

 

This work redefines black holes as coherent centers of the universe’s vibrational architecture, proposing a framework that unifies gravity, quantum physics, and structural consciousness—opening a new paradigm in cosmology.
DOI: 10.5281/zenodo.17046769
title: LiVES-COstA Digest: Checked and updated entries from the LiVES Collection of Osteological Anthropometry

description: Dataset of prehistoric long bone lenghts from archaeological skeletal material collected in the framwork of teh LiVES Project (PI Eva Rosenstock). The dataset was originally published in Edition Topoi, a repository meant to be permanent, but currently down for technical issues, with doi https://doi.org/10.17171/2-12-2-1
DOI: 10.5281/zenodo.17046768
title: LiVES-COstA Digest: Checked and updated entries from the LiVES Collection of Osteological Anthropometry

description: Dataset of prehistoric long bone lenghts from archaeological skeletal material collected in the framwork of teh LiVES Project (PI Eva Rosenstock). The dataset was originally published in Edition Topoi, a repository meant to be permanent, but currently down for technical issues, with doi https://doi.org/10.17171/2-12-2-1
DOI: 10.5281/zenodo.15639059
title: First attempt to reproduce SpeedyWeather.jl humidity example

description: See https://github.com/SpeedyWeather/SpeedyWeather.jl/issues/737#issuecomment-2961973881

 

output.nc is a netcdf file containing fields for specific humidity, zonal wind, meridional wind, vorticity, etc. (ncdump -h output.nc for more details)

parameters.txt specifies the model setup (see e.g., model.output in this file to see output variables)

Model version corresponds to commit hash 53b38644b9a55e0bf0bf814566c52cd86e766907 of https://github.com/SpeedyWeather/SpeedyWeather.jl
DOI: 10.5281/zenodo.15639060
title: First attempt to reproduce SpeedyWeather.jl humidity example

description: See https://github.com/SpeedyWeather/SpeedyWeather.jl/issues/737#issuecomment-2961973881

 

output.nc is a netcdf file containing fields for specific humidity, zonal wind, meridional wind, vorticity, etc. (ncdump -h output.nc for more details)

parameters.txt specifies the model setup (see e.g., model.output in this file to see output variables)

Model version corresponds to commit hash 53b38644b9a55e0bf0bf814566c52cd86e766907 of https://github.com/SpeedyWeather/SpeedyWeather.jl
DOI: 10.15468/dl.p8dw84
title: Occurrence Download

description: A dataset containing 10398 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus graecizans"
 ]
}

 The dataset includes 10398 records from 477 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022483-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17046865
title: Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland

description: Das Intensivregister (www.intensivregister.de) ist eine digitale Plattform zur Echtzeiterfassung von intensivmedizinischen Behandlungs- und Bettenkapazitäten sowie den Fallzahlen intensivmedizinisch behandelter COVID-19-Patient:innen der etwa 1.300 Akut-Krankenhäuser Deutschlands. Bis 12 Uhr ist die tägliche Meldung laut Verordnung für die Krankenhäuser verpflichtend. Darüber hinaus kann beliebig oft gemeldet werden, sodass Veränderungen in den Kapazitäten aktuell berichtet werden können.
Damit ermöglicht das Intensivregister in der Pandemie sowie darüber hinaus, Engpässe in der intensivmedizinischen Versorgung im regionalen und zeitlichen Vergleich zu erkennen. Es schafft somit eine wertvolle Grundlage zur Reaktion und zur datengestützten Handlungssteuerung in Echtzeit. Zur Aufrechterhaltung der Krankenhausversorgung bietet das DIVI-Intensivregister demnach ein Portal zur Suche freier Intensivbetten und zur Kontaktaufnahme zwischen Fachkolleg*innen, um die gegenseitige Unterstützung bei Behandlungsfragen im intensivmedizinischen Kontext zu erleichtern. Ebenso liefert es eine maßgebliche Informationsgrundlage für staatliche Steuerungs- und Planungsmaßnahmen sowie für die lokale und überregionale Steuerung und Koordinierung der Bettenbelegung.
DOI: 10.5258/soton/wp00820
title: Modelled gridded population estimates for Lualaba Province in the Democratic Republic of Congo version 4.3

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Lualaba Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2023, settlement extents and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. This time period corresponds to the PDRS survey date for Lualaba. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey with additional support from Heather Chamberlain. Project oversight was done by Attila Lazar, Chris Nnanatu and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 6.0) (CIESIN, 2025).
DOI: 10.18160/r86m-h3hx
title: Drought-2018 ecosystem eddy covariance flux product from Davos

description: Public release of the observational data product for eddy covariance fluxes at Davos, covering the period 1997-2018
description: Funding from the EU projects CARBOEUROFLUX, CARBOEUROPE-IP and GREENHOUSEGAS-EUROPE, from various SNF projects, including ICOS-CH, the ETH Board and by ETH Zurich is greatly acknowledged See also: Zielis S, Etzold S, Zweifel R, Eugster W, Haeni M, Buchmann N (2014) NEP of a Swiss subalpine forest is significantly driven not only by current but also by previous year’s weather. Biogeosciences 11: 1627–1635
DOI: 10.18160/j938-0mks
title: Drought-2018 ecosystem eddy covariance flux product from Fruebuel grassland

description: Public release of the observational data product for eddy covariance fluxes at Fruebuel grassland, covering the period 2005-2018
description: Funding from the EU project GREENHOUSEGAS-EUROPE, from various SNF projects and by ETH Zurich is greatly acknowledged See also: Zeeman MJ, Hiller R, Gilgen AK, Michna P, Plüss P, Buchmann N, Eugster W (2010) Management, not climate, controls net CO2 fluxes and carbon budgets of three grasslands along an elevational gradient in Switzerland. Agric. Forest Meteorology 50: 519–530
DOI: 10.18160/gmmw-5e2d
title: Drought-2018 ecosystem eddy covariance flux product from Chamau grassland

description: Public release of the observational data product for eddy covariance fluxes at Chamau grassland, covering the period 2005-2018
description: Funding from the EU project GREENHOUSEGAS-EUROPE, from various SNF projects and by ETH Zurich is greatly acknowledged See also: Hörtnagl L, Barthel M, Buchmann N, Eugster W, Butterbach-Bahl K, Díaz-Pinés E, Zeeman M, Klumpp K, Kiese R, Burri S, Bahn M, Hammerle Albin, Ladreiter-Knauss T, Lu H, Merbold L (2018) Greenhouse gas fluxes over managed grasslands in Central Europe. Global Change Biology 24:1843-1872
DOI: 10.18160/gps8-bgnw
title: Drought-2018 ecosystem eddy covariance flux product from Lanna

description: Public release of the observational data product for eddy covariance fluxes at Lanna, covering the period 2014-2018
description: Swedish Research Council (SRC) co-financed ICOS Sweden under Grant number 2015-06020
DOI: 10.18160/3yqe-7br8
title: Drought-2018 ecosystem eddy covariance flux product from Alp Weissenstein

description: Public release of the observational data product for eddy covariance fluxes at Alp Weissenstein, covering the period 2010-2018
description: Funding from the EU project GREENHOUSEGAS-EUROPE, from various SNF projects and by ETH Zurich is greatly acknowledged See also: Zeeman MJ, Hiller R, Gilgen AK, Michna P, Plüss P, Buchmann N, Eugster W (2010) Management, not climate, controls net CO2 fluxes and carbon budgets of three grasslands along an elevational gradient in Switzerland. Agric. Forest Meteorology 50: 519–530
DOI: 10.5281/zenodo.17046792
title: Seasonal variability of living benthic foraminifera across intertidal areas of the Eastern English Channel. Dataset

description: This file contains the dataset of Francescangeli et al. (2025), including: (1) station positions, (2) environmental parameters, (3) species counts, (4) list of taxa, (5) density and diversity, and (6) LDA results
DOI: 10.5281/zenodo.17046793
title: Seasonal variability of living benthic foraminifera across intertidal areas of the Eastern English Channel. Dataset

description: This file contains the dataset of Francescangeli et al. (2025), including: (1) station positions, (2) environmental parameters, (3) species counts, (4) list of taxa, (5) density and diversity, and (6) LDA results
DOI: 10.5281/zenodo.16675030
title: LiHRA: A LiDAR-Based HRI Dataset for Automated Risk Monitoring Methods

description: Dataset related to IROS 2025 Paper. Please cite paper if you use the dataset.

 



LiHRA is a novel LiDAR-based dataset designed for automated Risk Monitoring (RM) in Human-Robot Interaction (HRI). It provides 3D LiDAR point clouds, human keypoints, and robot joint states, capturing real-world HRI dynamics. The dataset includes safety-critical scenarios, such as object handovers and shared workspace interactions, featuring both intentional contacts and unintentional collisions to support risk monitoring and mitigation research.

Please note that the dataset is provided for research purposes only and should not be used for commercial purposes.
DOI: 10.15468/dl.nvw36w
title: Occurrence Download

description: A dataset containing 137633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Continent is South America",
 "Country is one of (Brazil, Chile, Peru, Argentina, Colombia, Bolivia (Plurinational State of), Ecuador, French Guiana, Venezuela (Bolivarian Republic of), Paraguay)",
 "DatasetKey is one of (A global database for the distributions of crop wild relatives, Occurrences in SinBiota, MICROBIS database, The System-wide Information Network for Genetic Resources (SINGER), SINGER Coordinator, Size Spectra of the edaphic fauna of Argiudol typical soils of the rolling Pampa region, Argentina, United States National Plant Germplasm System Collection, Fauna Íctica Nativa Continental de Chile, Laboratório de Ecologia e Biogeografia de Insetos da Caatinga, Global distribution of marine forests [literature records])",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (fee3882f-5360-4f01-a1ca-767c48fa629c, b035747d-16a4-46e1-b599-599d43e1acc9, a3c228d0-3110-11db-abb8-b8a03c50a862, e3e307d0-1637-11da-a5ec-b8a03c50a862, 42ec13eb-ac05-4b78-a277-bd394ab7d555, 9ae75ccd-0ee8-4dd4-a412-3bbcc3ed4b26, bf0d80b3-46da-4e60-b1cf-39f2320acb43, 8595cd50-87c0-11dc-bb35-b8a03c50a862, 54a7048f-6d1f-468e-bd38-a585e05ca24d)"
 ]
}

 The dataset includes 137633 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022477-250827131500795/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.30042397
title: Arrival.docx

description: Arrival Plot
DOI: 10.6084/m9.figshare.30042397.v1
title: Arrival.docx

description: Arrival Plot
DOI: 10.5258/soton/wp00828
title: Modelled gridded population estimates for Maniema Province in the Democratic Republic of Congo version 4.3

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Maniema province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2022, settlement extent and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2022. This time period corresponds to the PDRS survey date for Maniema. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey and Amy Bonnie with additional support from Tom Abbott and Heather Chamberlain. Project oversight was done by Attila Lazar and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns was collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 6.0) (CIESIN, 2025).
DOI: 10.6084/m9.figshare.30041797
title: DL-GROD.csv

description: This observational study utilizes an innovative deep learning framework to map river obstructions on a global scale, overcoming the constraints of conventional detection methods by accurately identifying multiple categories of obstructions—including dams, low-head dams, locks, and partial dams. The resulting dataset, named DL-GROD (Deep Learning–Global River Obstructions Database), comprises 50,061 records of artificial river obstructions, each meticulously validated through visual inspection via Google Maps.
DOI: 10.6084/m9.figshare.30041797.v1
title: DL-GROD.csv

description: This observational study utilizes an innovative deep learning framework to map river obstructions on a global scale, overcoming the constraints of conventional detection methods by accurately identifying multiple categories of obstructions—including dams, low-head dams, locks, and partial dams. The resulting dataset, named DL-GROD (Deep Learning–Global River Obstructions Database), comprises 50,061 records of artificial river obstructions, each meticulously validated through visual inspection via Google Maps.
DOI: 10.6069/mrkx-td78
title: Protein sequencing with single amino acid resolution discerns peptides that discriminate tropomyosin proteoforms

description: Protein variants of the same gene—proteoforms—can have high molecular similarity yet exhibit different biological functions. Thus, identifying unique peptides that unambiguously map to proteoforms can provide crucial biological insights. In humans, four human tropomyosin (TPM) genes produce similar proteoforms that can be challenging to distinguish with standard proteomics tools. For example, TPM1 and TPM2 share 85% sequence identity, with amino acid substitutions that play unique roles in muscle contraction and myopathies. In this study, we evaluated the ability of the recently released Platinum single-molecule protein sequencer to detect proteoform-informative peptides. Platinum employs fluorophore-labeled recognizers that reversibly bind to cognate N-terminal amino acids (NAAs), enabling polypeptide sequencing within nanoscale apertures of a semiconductor chip that can accommodate single peptide molecules. As a proof of concept, we evaluated the ability of Platinum to distinguish three main types of proteoform variation: paralog-level, transcript-level, and post-translational modification (PTM). We distinguished paralogous TPM1 and TPM2 peptides differing by a single isobaric residue (leucine/isoleucine). We also distinguished tissue-specific TPM2 spliceforms. Notably, we found that a phosphotyrosine-modified peptide displayed reduced recognizer affinity for tyrosine, showing sensitivity to PTMs. This study paves the way for the targeted detection of proteoform biomarkers at the single molecule level.