cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17793231
title: Banco de Dados do Projeto: Estudo Geomorfológico de Lagoas Naturais na região Central do Estado de São Paulo: subsídio para pesquisas arqueológicas e reconstruções paleoambientais

description: Esses arquivos são fruto da minha pesquisa para o meu Trabalho de Graduação Individual, desenvolvido no Departamento de Geografia da Universidade de São Paulo, para obtenção do título de Bacharel em Geografia.O objetivo foi identificar, caracterizar e mapear lagoas naturais na região central do Estado de São Paulo, abrangendo a Depressão Periférica Paulista e o Planalto Ocidental Paulista. No estudo, foram mapeadas 100 lagoas e classificadas em três categorias: naturais, naturais modificadas e de natureza incerta. A partir da amostragem estratificada, dez lagoas representativas foram selecionadas e analisadas em maior profundidade. O arquivo ZIP reúne a planilha contendo os atributos geomorfológicos, classificação, seleção amostral e tabelas dinâmicas utilizadas nas análises e os shapefiles georreferenciados utilizados e produzidos ao longo desta etapa, incluindo a área de estudo, as lagoas mapeadas e as lagoas amostrais tratadas na análise detalhada, acompanhados de uma tabela de atributos contendo informações referentes a cada lagoa (município, geologia, geomorfologia, natureza, sazonalidade, coordenadas, entre outros). *por favor creditar a autora, em breve atualizo o link da tese aqui! :))
DOI: 10.34740/kaggle/dsv/13964312
title: Onco-360: DATASUS | INCA | CNES | SIOPS
DOI: 10.5281/zenodo.17354773
title: Human spatial transcriptomics data for: iHALT unlocks liver functionality as a surrogate secondary lymphoid organ
DOI: 10.5281/zenodo.17354774
title: Human spatial transcriptomics data for: iHALT unlocks liver functionality as a surrogate secondary lymphoid organ
DOI: 10.17026/ar/bwdd0j
title: PAN-00102997 - terra sigillata plate type Drag. 18/31 and 31

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00102997&lt;/p&gt;
DOI: 10.5281/zenodo.17781361
title: Emergent Halo Structure from the Primordial Wave Equation
title: Entanglement Compression Theory (ECT) Stage-1 Simulation Dataset

description: This dataset contains the full image and data outputs of the Entanglement Compression Theory (ECT) Primordial Wave Equation Stage-1 simulation. It includes a series of PNG frames sampled across the evolution of Ψ(x,y,t), the final ψ snapshot in NumPy format, and the complete Python scripts used to generate the simulation and video sequence. The Stage-1 model evolves a two dimensional oscillatory amplitude field using a Strang split implementation of the Primordial Wave Equation with real compression,

  iħ ∂tΨ = (−αd Δ + V + β ℂ[Ψ]) Ψ ,

where the compression functional uses smoothed logarithmic curvature terms. The simulation demonstrates early halo emergence and the transition from initial asymmetry to a stable oscillatory density structure.

All parameters, asymmetry amplitudes, ellipticity factors, and numerical tolerances are included for full reproducibility. The dataset is intended as a reference implementation of the PWE evolution used in ECT and serves as the canonical input for later Stage-3 and Stage-4 dark-halo simulations. The accompanying PDF provides a detailed description of the initial conditions, algorithmic method, sampling schedule, and file contents.

This release is part of the Compression Theory Institute’s effort to provide reproducible numerical references for the Primordial Wave Equation, including baseline halo formation under deterministic compression dynamics.
DOI: 10.5281/zenodo.17781362
title: Emergent Halo Structure from the Primordial Wave Equation
title: Entanglement Compression Theory (ECT) Stage-1 Simulation Dataset

description: This dataset contains the full image and data outputs of the Entanglement Compression Theory (ECT) Primordial Wave Equation Stage-1 simulation. It includes a series of PNG frames sampled across the evolution of Ψ(x,y,t), the final ψ snapshot in NumPy format, and the complete Python scripts used to generate the simulation and video sequence. The Stage-1 model evolves a two dimensional oscillatory amplitude field using a Strang split implementation of the Primordial Wave Equation with real compression,

  iħ ∂tΨ = (−αd Δ + V + β ℂ[Ψ]) Ψ ,

where the compression functional uses smoothed logarithmic curvature terms. The simulation demonstrates early halo emergence and the transition from initial asymmetry to a stable oscillatory density structure.

All parameters, asymmetry amplitudes, ellipticity factors, and numerical tolerances are included for full reproducibility. The dataset is intended as a reference implementation of the PWE evolution used in ECT and serves as the canonical input for later Stage-3 and Stage-4 dark-halo simulations. The accompanying PDF provides a detailed description of the initial conditions, algorithmic method, sampling schedule, and file contents.

This release is part of the Compression Theory Institute’s effort to provide reproducible numerical references for the Primordial Wave Equation, including baseline halo formation under deterministic compression dynamics.
DOI: 10.5281/zenodo.17345589
title: BCR IGH sequencing for: iHALT unlocks liver functionality as a surrogate secondary lymphoid organ

description: BCR IGH sequencing data, where "LS" = LCMV Spleen, "RL" = RHV Liver, and "NL" = Normal Liver.
DOI: 10.5281/zenodo.17345590
title: BCR IGH sequencing for: iHALT unlocks liver functionality as a surrogate secondary lymphoid organ

description: BCR IGH sequencing data, where "LS" = LCMV Spleen, "RL" = RHV Liver, and "NL" = Normal Liver.
DOI: 10.15468/dl.pzvty3
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-116.57236 13.97727,-81.42764 13.97727,-81.42764 28.02273,-116.57236 28.02273,-116.57236 13.97727))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Kinosternon herrerai",
 "Year 1965-2015"
 ]
}

 The dataset includes 53 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023306-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rs3b8
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "GadmGid is PER.3_1",
 "TaxonKey is Cerastium"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023307-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/0lzca9
title: PAN-00152556 - terra sigillata cup type Halt. 8 - 9

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00152556&lt;/p&gt;
description: Modified: 2025-05-15T20:34:42+02:00
DOI: 10.13140/rg.2.2.27342.73288
title: DISSONANCE ANALYSIS CHORDS 2-2 (3) VALID
DOI: 10.15785/sbgrid/1227
title: X-Ray Diffraction data from Rv0097 F102Y variant with vanadyl and CADA bound, source of 9PBN structure

description: Native dataset
DOI: 10.17603/ds2-sd3f-1948
title: Database of damaged soft-story building, without others irregularities, from the september 19, 2017 Mexico City Earthquake, in Database of Damaged and Retrofitted Soft-Story Buildings from the 19 September 2017 Mexico City Earthquake

description: The present database was derived from a broader building inventory developed initially from the cadaster of Mexico City, which provided information on lot geometry, land use, and construction year. This foundational dataset was enhanced by integrating official zoning data, LiDAR-based height and story measurements, machine-learning classification of buildings to detect irregularities (elevation and plant irregularities), and more than 7,000 virtual inspections combined with nearly 2,000 on-site assessments to classify structural systems and visible deficiencies (pathologies). After the September 19th, 2017, earthquake, the inventory was further refined through a dedicated effort to identify buildings affected by only the first soft-story behavior. This phase included incorporating post-earthquake documentary records and conducting field evaluations. The resulting dataset represents a unique and high-value resource with significant potential for future research on seismic vulnerability. From this refined inventory, the database analyzed in this article compiles detailed attributes for 98 damaged first soft-story buildings, including geographic location, construction year, number of stories, occupancy, structural system, damage level, current condition, rehabilitation status, column dimensions, and damage technical opinion, providing a reproducible foundation for the assessment of structural performance and post-earthquake recovery.
description: The database compiles detailed information on the 98 soft-story buildings that were damaged during the September 19th, 2017, earthquake in Mexico City. It includes essential attributes for each building (such as geographic location, year of construction, number of stories, occupancy at the time of the earthquake, structural system, damage level, current condition, rehabilitation status, and column width measurements), providing a comprehensive foundation for analyzing structural performance, vulnerability, and post-earthquake recovery. The result of this database allowed us to define the main characteristics of a typical building with a soft-first-story condition. This building is used to study the behavior of the first-soft-story building during the seismic event
DOI: 10.5281/zenodo.17795500
title: Ingramspark terms of service
DOI: 10.5281/zenodo.17795501
title: Ingramspark terms of service
DOI: 10.17026/ar/hnnfay
title: PAN-00153450 - stone axe

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00153450&lt;/p&gt;
description: Modified: 2025-08-27T10:35:05+02:00
DOI: 10.5067/bxr8k06ypr6u
title: OMPS-NPP L3 LP Aerosol Extinction Vertical Profile 5 x 15 deg lat-lon grid multi-wavelength monthly V1
DOI: 10.5067/bkll9jgzr1qe
title: OMPS-NPP L3 LP Aerosol Extinction Vertical Profile 5 x 15 deg lat-lon grid multi-wavelength monthly V1.1
DOI: 10.5281/zenodo.17440525
title: Perplexity AI Summary Evidence for Entanglement Compression Theory (October 2025)

description: Archived snapshot of an independent AI-generated summary of Entanglement Compression Theory (ECT) by William Andrew Lawrence, captured October 2025 from Perplexity.ai search interface. 

Summarizes Entanglement Compression Theory (ECT) as a unified, deterministic framework linking quantum mechanics, relativity, and cosmology through wavefunction compression. The overview identifies independent listings for the theory and its author across Zenodo, Academia.edu, ORCID, Wikidata, Amazon, and the Compression Theory Institute website, reflecting broad indexing and recognition across academic and public domains.
DOI: 10.5281/zenodo.17440524
title: Perplexity AI Summary Evidence for Entanglement Compression Theory (October 2025)

description: Archived snapshot of an independent AI-generated summary of Entanglement Compression Theory (ECT) by William Andrew Lawrence, captured October 2025 from Perplexity.ai search interface. 

Summarizes Entanglement Compression Theory (ECT) as a unified, deterministic framework linking quantum mechanics, relativity, and cosmology through wavefunction compression. The overview identifies independent listings for the theory and its author across Zenodo, Academia.edu, ORCID, Wikidata, Amazon, and the Compression Theory Institute website, reflecting broad indexing and recognition across academic and public domains.
DOI: 10.5281/zenodo.17795465
title: TU-GUT-SYSY: Black Holes as Regions of Saturated Electromagnetic Entanglement Entropy – No Interior, No Singularity, Zero Hawking Temperature

description: Extension of TU-GUT-SYSY v1 (DOI 10.5281/zenodo.17794324).  

Within the same ontological principle — spacetime exists only where electromagnetic vacuum entanglement entropy can still increase — astrophysical black holes are shown to be finite regions of saturated entanglement (S=S_max).  

Consequences: no interior spacetime, no curvature singularity, exactly zero Hawking temperature, full unitarity.  

Key results: no interior geometry beyond the horizon

no curvature singularity

Hawking temperature exactly zero

information preserved on the saturated horizon surface

consistent with Bekenstein bound and unitarity

 

 

Independent theoretical work – Simon Soliman, Rome (Italy) – 2 December 2025
DOI: 10.5281/zenodo.17795466
title: TU-GUT-SYSY: Black Holes as Regions of Saturated Electromagnetic Entanglement Entropy – No Interior, No Singularity, Zero Hawking Temperature

description: Extension of TU-GUT-SYSY v1 (DOI 10.5281/zenodo.17794324).  

Within the same ontological principle — spacetime exists only where electromagnetic vacuum entanglement entropy can still increase — astrophysical black holes are shown to be finite regions of saturated entanglement (S=S_max).  

Consequences: no interior spacetime, no curvature singularity, exactly zero Hawking temperature, full unitarity.  

Key results: no interior geometry beyond the horizon

no curvature singularity

Hawking temperature exactly zero

information preserved on the saturated horizon surface

consistent with Bekenstein bound and unitarity

 

 

Independent theoretical work – Simon Soliman, Rome (Italy) – 2 December 2025
DOI: 10.5683/sp3/65fxas
title: Processed Catchment-Averaged Meteorological Forcings from Daymet for Streamflow Monitored Catchments in British Columbia and Transboundary Basins

description: This dataset provides catchment-averaged daily meteorological time series for selected watersheds in British Columbia
and adjacent regions. Meteorological variables are derived from the Daymet gridded climate dataset (Version 4 R1)
at a 1-km spatial resolution and include:
• Precipitation (prcp)
• Maximum and minimum temperature (tmax, tmin)
• Shortwave radiation (srad)
• Vapor pressure (vp)
• Snow water equivalent (swe)
• Day length (dayl)
• Potential evapotranspiration (PET), computed using the Penman-Monteith method via the PyDaymet package
description: Replication code is provided at https://github.com/dankovacek/process_metforcings.
DOI: 10.15468/dl.cu3hgh
title: Occurrence Download

description: A dataset containing 246844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is March",
 "OccurrenceStatus is Present",
 "TaxonKey is Poecile carolinensis",
 "Year 2016-2020"
 ]
}

 The dataset includes 246844 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023291-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/z5yd2l
title: PAN-00053732 - early medieval figurative brooch group E (single lug)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00053732&lt;/p&gt;
description: Modified: 2025-06-24T15:19:43+02:00
DOI: 10.5281/zenodo.17438828
title: Independent Search Index Evidence for Entanglement Compression Theory (October 2025)

description: This record aggregates three independent search snapshots (Google, Bing, and Perplexity, captured October 2025) demonstrating secondary coverage of Entanglement Compression Theory (ECT) and William Andrew Lawrence across academic and AI-indexed platforms. These files serve as verifiable evidence of notability, documenting external references to the theory, its mathematical formalism, and its dissemination via Zenodo, Academia.edu, and the Compression Theory Institute website. The purpose of this record is to provide an archival, DOI-linked reference for transparency, Wikipedia citation, and future bibliometric tracking.
DOI: 10.5281/zenodo.17438827
title: Independent Search Index Evidence for Entanglement Compression Theory (October 2025)

description: This record aggregates three independent search snapshots (Google, Bing, and Perplexity, captured October 2025) demonstrating secondary coverage of Entanglement Compression Theory (ECT) and William Andrew Lawrence across academic and AI-indexed platforms. These files serve as verifiable evidence of notability, documenting external references to the theory, its mathematical formalism, and its dissemination via Zenodo, Academia.edu, and the Compression Theory Institute website. The purpose of this record is to provide an archival, DOI-linked reference for transparency, Wikipedia citation, and future bibliometric tracking.
DOI: 10.17026/ar/pzs7uw
title: PAN-00173924 - composite hollow button with vent holes, separate shank

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173924&lt;/p&gt;
description: Modified: 2025-05-08T16:30:37+02:00
DOI: 10.5281/zenodo.17573028
title: Accurate interpretation of within-host dissemination using barcoded bacteria
DOI: 10.5281/zenodo.17573027
title: Accurate interpretation of within-host dissemination using barcoded bacteria
DOI: 10.34740/kaggle/dsv/13964353
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.pjuvcw
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.17988123146266824 51.50353489762306,-0.17361143105598367 51.50353489762306,-0.17361143105598367 51.50980469802975,-0.17988123146266824 51.50980469802975,-0.17988123146266824 51.50353489762306))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coloeus monedula"
 ]
}

 The dataset includes 175 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023310-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/h1tmmw
title: PAN-00178763 - one-ribbed La Tène bracelet variant H3b

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00178763&lt;/p&gt;
description: Modified: 2025-08-27T14:28:08+02:00
DOI: 10.6084/m9.figshare.30330306
title: Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model

description: Single-cell RNA-sequencing (scRNA-seq) technologies have advanced our understanding of cell-type-specific gene expression networks by enabling the direct inference of conditional independence structures among genes. However, scRNA-seq data are characterized by count distributions with numerous zeros, rendering standard Gaussian-based network inference methods inadequate. To address this challenge, we propose SPLN, a hierarchical Poisson log-normal model that simultaneously estimates multiple gene networks under different conditions or across distinct samples, while leveraging shared structural information. We develop an efficient estimation procedure that combines variational expectation–maximization (EM) with the alternating direction method of multipliers (ADMM), optimized for parallel processing. Through extensive simulation studies, SPLN demonstrates superior performance over existing methods in terms of network structure recovery and parameter estimation. We illustrate its utility on two scRNA-seq datasets: one from yeast cells measured under 11 environmental conditions, and another from 13 patients with inflammatory bowel disease. In both applications, SPLN uncovers a broader range of conditional dependence networks among genes, offering deeper insights into the underlying gene expression mechanisms. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.30330306.v1
title: Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model

description: Single-cell RNA-sequencing (scRNA-seq) technologies have advanced our understanding of cell-type-specific gene expression networks by enabling the direct inference of conditional independence structures among genes. However, scRNA-seq data are characterized by count distributions with numerous zeros, rendering standard Gaussian-based network inference methods inadequate. To address this challenge, we propose SPLN, a hierarchical Poisson log-normal model that simultaneously estimates multiple gene networks under different conditions or across distinct samples, while leveraging shared structural information. We develop an efficient estimation procedure that combines variational expectation–maximization (EM) with the alternating direction method of multipliers (ADMM), optimized for parallel processing. Through extensive simulation studies, SPLN demonstrates superior performance over existing methods in terms of network structure recovery and parameter estimation. We illustrate its utility on two scRNA-seq datasets: one from yeast cells measured under 11 environmental conditions, and another from 13 patients with inflammatory bowel disease. In both applications, SPLN uncovers a broader range of conditional dependence networks among genes, offering deeper insights into the underlying gene expression mechanisms. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.30324842
title: Graph-based Square-Root Estimation for Sparse Linear Regression

description: Sparse linear regression is one of the classic problems in the field of statistics, which has deep connections and high intersections with optimization, computation, and machine learning. To address the effective handling of high-dimensional data, the diversity of real noise, and the challenges in estimating standard deviation of noise, we propose a novel and general graph-based square-root estimation (GSRE) model for sparse linear regression. Specifically, we use square-root-loss function to encourage the estimators to be independent of the unknown standard deviation of error terms and design a sparse regularization term by using the graphical structure among predictors in a node-by-node form. Based on the predictor graphs with special structure, we highlight the generality by analyzing that the model in this article is equivalent to several classic regression models. Theoretically, we also analyze the finite sample bounds, asymptotic normality and model selection consistency of GSRE method without relying on standard deviation of error terms. In terms of computation, we employ the fast and efficient alternating direction method of multipliers. Finally, based on a large number of simulated and real data with various types of noise, we demonstrate the performance advantages of the proposed method in estimation, prediction and model selection. Supplementary materials for this article are available online.