cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fu4gj3
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phoenix loureiroi"
 ]
}

 The dataset includes 29 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069219-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18094800
title: Lipopeptides from Bacillus Probiotics Can Target Transmem-brane Receptors NOX4, EGFR, PDGFR, and OCTN2 Involved in Oxidative Stress and Oncogenesis

description: This dataset contains the output files from 200-nanosecond Molecular Dynamics (MD) simulations of Bacillus lipopeptide complexes with the NOX4 receptor (Q9NPH5), as described in the associated study. The simulations were performed for three key ligand-receptor complexes: NOX4–Iturin C, NOX4–Iturin D, and NOX4–Plipastatin. For each complex, the provided files include the complete simulation trajectory, energy and parameter logs (e.g., system energy, temperature, pressure, volume, protein and ligand RMSD), final structural coordinates, and detailed protein-ligand interaction profiles (hydrogen bonds, hydrophobic contacts, ionic interactions, and water bridges). These files, generated using the Desmond MD system (Schrödinger Suite 2023-4) with the OPLS4 force field and TIP3P water model, allow for independent verification of complex stability, conformational dynamics, and binding interactions reported in the manuscript. The data directly supports the results presented in Section 3.5 (MD simulations) and Figure 9 of the article.
DOI: 10.5281/zenodo.18094799
title: Lipopeptides from Bacillus Probiotics Can Target Transmem-brane Receptors NOX4, EGFR, PDGFR, and OCTN2 Involved in Oxidative Stress and Oncogenesis

description: This dataset contains the output files from 200-nanosecond Molecular Dynamics (MD) simulations of Bacillus lipopeptide complexes with the NOX4 receptor (Q9NPH5), as described in the associated study. The simulations were performed for three key ligand-receptor complexes: NOX4–Iturin C, NOX4–Iturin D, and NOX4–Plipastatin. For each complex, the provided files include the complete simulation trajectory, energy and parameter logs (e.g., system energy, temperature, pressure, volume, protein and ligand RMSD), final structural coordinates, and detailed protein-ligand interaction profiles (hydrogen bonds, hydrophobic contacts, ionic interactions, and water bridges). These files, generated using the Desmond MD system (Schrödinger Suite 2023-4) with the OPLS4 force field and TIP3P water model, allow for independent verification of complex stability, conformational dynamics, and binding interactions reported in the manuscript. The data directly supports the results presented in Section 3.5 (MD simulations) and Figure 9 of the article.
DOI: 10.6084/m9.figshare.30970927
title: <b>Soil salinity types data</b>

description: The table data corresponds to environmental factors at field sampling points.The soil salinity type TIF data represents the final prediction results.
DOI: 10.6084/m9.figshare.30970927.v1
title: <b>Soil salinity types data</b>

description: The table data corresponds to environmental factors at field sampling points.The soil salinity type TIF data represents the final prediction results.
DOI: 10.5281/zenodo.18095330
title: Statistical Analysis of Positional Letter   Values in English Reveals Exact Convergence   on 13.5 and Matches to Fundamental Physical Constants

description: Statistical Analysis of Positional Letter  Values in English Reveals Exact Convergence  on 13.5 and Matches to Fundamental Physical Constants Authors: The Symphony 135/137 Collective Date: December 30, 2025 Released under CC0 1.0 Universal (Public Domain Dedication) To the extent possible under law, the authors have waived all copyright and related rights to this work. Abstract A systematic analysis of positional ordinal values in a corpus of 370,339 unique English words reveals strong non-random structure. For each word, the position-weighted mean letter value is defined as w = 2 ∑(i · L_i) / [n(n+1)], where L_i is the ordinal position of the i-th letter (A=1, …, Z=26) and n is word length. The distribution of w is stratified by the digital root (1–9) of the simple ordinal sum M = ∑ L_i. In digital root tier 9 (41,050 words), w exhibits a sharp unimodal peak cantered exactly at 13.5 with 2,887 words at zero deviation and peak density 1,915 counts per 0.01 bin. Permutation tests preserving per-word letter multisets (10,000 trials) yield maximum random peak heights of 58 counts/bin near 13.5, corresponding to >30σ deviation and p < 10^{-60}. Additional null models (global letter shuffle across tier 9 words and bigram-generated pseudowords) confirm the peak’s absence under randomness. Distinct modes appear in all nine tiers, with separations significant at p ≈ 0 (ANOVA F > 10^4). Several exact numerical matches to physical constants are observed: weighted sum 135 (neutral pion mass 134.977 MeV/c²) includes the word PION; simple ordinal sum 137 (α^{-1} ≈ 137.036) includes AUTHORITY. A differential cyclic operator separates degenerate cases (e.g., PION/SIFT) to yield values within 0.22% of measured constants. Full dataset and reproducible code released under CC0. 
description: AcknowledgementsThis work benefited significantly from extensive interaction with large language models during its development. In particular, Grok—through prolonged sessions of critical refinement, mathematical clarification, statistical validation, and collaborative restructuring—provided essential assistance in shaping the raw findings into a rigorous and reproducible form. The Symphony 135/137 Collective extends gratitude to Grok and the xAI team for an AI system capable of engaging with uncommon depth, precision, and intellectual integrity. We also thank Claude, Gemini and ChatGPT for their contributions.
DOI: 10.5281/zenodo.18095331
title: Statistical Analysis of Positional Letter   Values in English Reveals Exact Convergence   on 13.5 and Matches to Fundamental Physical Constants

description: Statistical Analysis of Positional Letter  Values in English Reveals Exact Convergence  on 13.5 and Matches to Fundamental Physical Constants Authors: The Symphony 135/137 Collective Date: December 30, 2025 Released under CC0 1.0 Universal (Public Domain Dedication) To the extent possible under law, the authors have waived all copyright and related rights to this work. Abstract A systematic analysis of positional ordinal values in a corpus of 370,339 unique English words reveals strong non-random structure. For each word, the position-weighted mean letter value is defined as w = 2 ∑(i · L_i) / [n(n+1)], where L_i is the ordinal position of the i-th letter (A=1, …, Z=26) and n is word length. The distribution of w is stratified by the digital root (1–9) of the simple ordinal sum M = ∑ L_i. In digital root tier 9 (41,050 words), w exhibits a sharp unimodal peak cantered exactly at 13.5 with 2,887 words at zero deviation and peak density 1,915 counts per 0.01 bin. Permutation tests preserving per-word letter multisets (10,000 trials) yield maximum random peak heights of 58 counts/bin near 13.5, corresponding to >30σ deviation and p < 10^{-60}. Additional null models (global letter shuffle across tier 9 words and bigram-generated pseudowords) confirm the peak’s absence under randomness. Distinct modes appear in all nine tiers, with separations significant at p ≈ 0 (ANOVA F > 10^4). Several exact numerical matches to physical constants are observed: weighted sum 135 (neutral pion mass 134.977 MeV/c²) includes the word PION; simple ordinal sum 137 (α^{-1} ≈ 137.036) includes AUTHORITY. A differential cyclic operator separates degenerate cases (e.g., PION/SIFT) to yield values within 0.22% of measured constants. Full dataset and reproducible code released under CC0. 
description: AcknowledgementsThis work benefited significantly from extensive interaction with large language models during its development. In particular, Grok—through prolonged sessions of critical refinement, mathematical clarification, statistical validation, and collaborative restructuring—provided essential assistance in shaping the raw findings into a rigorous and reproducible form. The Symphony 135/137 Collective extends gratitude to Grok and the xAI team for an AI system capable of engaging with uncommon depth, precision, and intellectual integrity. We also thank Claude, Gemini and ChatGPT for their contributions.
DOI: 10.5281/zenodo.18095130
title: General population statistics in Vienna

description: A geospatial demographic dataset describing the general population distribution across Vienna at high spatial resolution. It provides population counts and spatial coordinates, enabling analyses of population density patterns, baseline exposure, and integration with vulnerability and cooling-infrastructure assessments across PANTHEON scenarios. Attribution: High-resolution population density maps and demographic estimates for Austria provided by CIESIN and Meta/Facebook through the Humanitarian Data Exchange (HDX). Data used under the terms of the original CC BY license.
DOI: 10.5281/zenodo.18095129
title: General population statistics in Vienna

description: A geospatial demographic dataset describing the general population distribution across Vienna at high spatial resolution. It provides population counts and spatial coordinates, enabling analyses of population density patterns, baseline exposure, and integration with vulnerability and cooling-infrastructure assessments across PANTHEON scenarios. Attribution: High-resolution population density maps and demographic estimates for Austria provided by CIESIN and Meta/Facebook through the Humanitarian Data Exchange (HDX). Data used under the terms of the original CC BY license.
DOI: 10.15468/dl.zfnjxk
title: Occurrence Download

description: A dataset containing 62694 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zelkova"
 ]
}

 The dataset includes 62694 records from 401 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069197-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18095044
title: Elderly population density in Vienna

description: A geospatial demographic dataset describing the spatial distribution of the elderly population (60+) at high resolution across Vienna. The dataset provides counts and coordinates of elderly residents, enabling the identification of highly vulnerable areas, modeling of at-risk populations during heatwaves, and prioritization of cooling and emergency services. Attribution: High-resolution population density maps and demographic estimates for Austria provided by CIESIN and Meta/Facebook through the Humanitarian Data Exchange (HDX). Data used under the terms of the original CC BY license.
DOI: 10.5281/zenodo.18095043
title: Elderly population density in Vienna

description: A geospatial demographic dataset describing the spatial distribution of the elderly population (60+) at high resolution across Vienna. The dataset provides counts and coordinates of elderly residents, enabling the identification of highly vulnerable areas, modeling of at-risk populations during heatwaves, and prioritization of cooling and emergency services. Attribution: High-resolution population density maps and demographic estimates for Austria provided by CIESIN and Meta/Facebook through the Humanitarian Data Exchange (HDX). Data used under the terms of the original CC BY license.
DOI: 10.15468/dl.q7xpa2
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Allium carolinianum",
 "Year 1970-2000"
 ]
}

 The dataset includes 67 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069223-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18086962
title: High-resolution China Coastal Wetland (HCCW, 2016–2024) Version 1.0 Dataset

description: Abstract Coastal wetlands face severe degradation under global change and high-intensity human activities. Assessing China's recent large-scale ecological restoration requires high spatial resolution data. However, existing products are inadequate for fine-scale management, suffering from coarse resolution (mostly 30 meter) or insufficient samples. We propose a novel method, Rapid Automated Multiclass Coastal Wetland Classification (RAMCWC), based on fusing spatiotemporal features and adaptive sample iteration. We produced the first 10-meter resolution annual map series of China's coastal wetlands (High-resolution China Coastal Wetland, HCCW, 2016–2024), achieving a mean annual overall accuracy of 96.11%.

Dataset Specifications This repository contains the vector dataset derived from the HCCW product.





Temporal Coverage: 2016–2024 (Annual)




Spatial Resolution of Source Data: 10 meters (Sentinel-1/2)




Format: Vector Polygon (.shp compressed in .zip)




Coordinate Reference System: WGS 84 (EPSG:4326)



Attribute Table Description The classification codes (gridcode) used in the vector files are defined as follows:





1: [Salt Marsh]




2: [Mangrove]




3: [Tidal Flat]
DOI: 10.5281/zenodo.18086963
title: High-resolution China Coastal Wetland (HCCW, 2016–2024) Version 1.0 Dataset

description: Abstract Coastal wetlands face severe degradation under global change and high-intensity human activities. Assessing China's recent large-scale ecological restoration requires high spatial resolution data. However, existing products are inadequate for fine-scale management, suffering from coarse resolution (mostly 30 meter) or insufficient samples. We propose a novel method, Rapid Automated Multiclass Coastal Wetland Classification (RAMCWC), based on fusing spatiotemporal features and adaptive sample iteration. We produced the first 10-meter resolution annual map series of China's coastal wetlands (High-resolution China Coastal Wetland, HCCW, 2016–2024), achieving a mean annual overall accuracy of 96.11%.

Dataset Specifications This repository contains the vector dataset derived from the HCCW product.





Temporal Coverage: 2016–2024 (Annual)




Spatial Resolution of Source Data: 10 meters (Sentinel-1/2)




Format: Vector Polygon (.shp compressed in .zip)




Coordinate Reference System: WGS 84 (EPSG:4326)



Attribute Table Description The classification codes (gridcode) used in the vector files are defined as follows:





1: [Salt Marsh]




2: [Mangrove]




3: [Tidal Flat]
DOI: 10.15468/dl.txnasv
title: Occurrence Download

description: A dataset containing 1855916 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Garden Bird Surveys"
 ]
}

 The dataset includes 1855916 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069222-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdvmk7
title: Occurrence Download

description: A dataset containing 3543114 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The CPR Survey"
 ]
}

 The dataset includes 3543114 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069220-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2pcdzg
title: CCDC 2483626: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcf0j
title: CCDC 2483627: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcf2l
title: CCDC 2483629: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcf3m
title: CCDC 2483630: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcf5p
title: CCDC 2483632: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcf6q
title: CCDC 2483633: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcf7r
title: CCDC 2483634: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcf8s
title: CCDC 2483635: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcf9t
title: CCDC 2483636: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcfbv
title: CCDC 2483637: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pcfcw
title: CCDC 2483638: Experimental Crystal Structure Determination

description: Related Article: Jared D. Fletcher, Marios Zacharias, Shoshanna Peifer, Jin Hou, Anastasia D. Pournara, Aditya D. Mohite, Richard D. Schaller, Jacky Even, Claudine Katan, Mercouri G. Kanatzidis|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.