cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18022073
title: Electromagnetism as an Emergent U(1) Sector of KN-Stabilized Yang-Mills Dynamics

description: This work presents a consolidated and internally complete treatment of electromagnetism within the framework of Symbolic Modular Field Theory (SMFT). Rather than postulating electromagnetism as an independent fundamental interaction, the paper demonstrates that classical Maxwell theory emerges dynamically as the infrared U(1) sector of a KN-stabilized Yang–Mills gauge action.

 

The analysis shows that restricting the unified gauge sector of SMFT to its abelian subgroup yields a gauge-invariant electromagnetic action whose equations of motion reduce exactly to Maxwell’s equations in the low-entropy, low-curvature regime. The associated electromagnetic stress–energy tensor is derived and shown to couple consistently to the stabilized gravitational equations used in Symbolic Modular Gravity (SMG).

 

Numerical lattice simulations support the analytic results by identifying a robust Maxwell window—a low-amplitude dynamical regime characterized by linear dispersion, propagating flux modes, and oscillatory gauge energy. Within this window, the KN stabilization mechanism preserves linear electromagnetic behavior while suppressing unphysical runaway dynamics outside the Maxwell regime.

 

This document is intended as a canonical internal reference within the SMFT program. It consolidates prior work on KN stabilization, symbolic thermodynamics, and modular gravity into a single coherent treatment of electromagnetism. No modification of experimentally verified electromagnetic physics is claimed. Deviations from Maxwell behavior arise only outside the low-entropy basin and are governed by symbolic coherence dynamics rather than symmetry breaking.
DOI: 10.5281/zenodo.18022074
title: Electromagnetism as an Emergent U(1) Sector of KN-Stabilized Yang-Mills Dynamics

description: This work presents a consolidated and internally complete treatment of electromagnetism within the framework of Symbolic Modular Field Theory (SMFT). Rather than postulating electromagnetism as an independent fundamental interaction, the paper demonstrates that classical Maxwell theory emerges dynamically as the infrared U(1) sector of a KN-stabilized Yang–Mills gauge action.

 

The analysis shows that restricting the unified gauge sector of SMFT to its abelian subgroup yields a gauge-invariant electromagnetic action whose equations of motion reduce exactly to Maxwell’s equations in the low-entropy, low-curvature regime. The associated electromagnetic stress–energy tensor is derived and shown to couple consistently to the stabilized gravitational equations used in Symbolic Modular Gravity (SMG).

 

Numerical lattice simulations support the analytic results by identifying a robust Maxwell window—a low-amplitude dynamical regime characterized by linear dispersion, propagating flux modes, and oscillatory gauge energy. Within this window, the KN stabilization mechanism preserves linear electromagnetic behavior while suppressing unphysical runaway dynamics outside the Maxwell regime.

 

This document is intended as a canonical internal reference within the SMFT program. It consolidates prior work on KN stabilization, symbolic thermodynamics, and modular gravity into a single coherent treatment of electromagnetism. No modification of experimentally verified electromagnetic physics is claimed. Deviations from Maxwell behavior arise only outside the low-entropy basin and are governed by symbolic coherence dynamics rather than symmetry breaking.
DOI: 10.34740/kaggle/dsv/14259819
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ztctr5
title: Occurrence Download

description: A dataset containing 210192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Caretta caretta",
 "Year 1901-2025"
 ]
}

 The dataset includes 210192 records from 570 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063212-251120083545085/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.30483515.v21
title: Forvard step of Logic

description: Logic and more
DOI: 10.5517/ccdc.csd.cc2nh9yf
title: CCDC 2457585: Experimental Crystal Structure Determination

description: Related Article: Kristina Smirnova, Irina Golomolzina, Sergey Fokin, Svyatoslav Tolstikov, Platon Chernavin, Gleb Letyagin, Galina Romanenko, Konstantin Zaitsev, Anatoly Melnikov, Sergey Veber, Matvey Fedin, Artem Bogomyakov|2025|Angew.Chem.,Int.Ed.|64|e202514043|doi:10.1002/anie.202514043
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.cc2nh9zg
title: CCDC 2457586: Experimental Crystal Structure Determination

description: Related Article: Kristina Smirnova, Irina Golomolzina, Sergey Fokin, Svyatoslav Tolstikov, Platon Chernavin, Gleb Letyagin, Galina Romanenko, Konstantin Zaitsev, Anatoly Melnikov, Sergey Veber, Matvey Fedin, Artem Bogomyakov|2025|Angew.Chem.,Int.Ed.|64|e202514043|doi:10.1002/anie.202514043
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.cc2nhb0j
title: CCDC 2457587: Experimental Crystal Structure Determination

description: Related Article: Kristina Smirnova, Irina Golomolzina, Sergey Fokin, Svyatoslav Tolstikov, Platon Chernavin, Gleb Letyagin, Galina Romanenko, Konstantin Zaitsev, Anatoly Melnikov, Sergey Veber, Matvey Fedin, Artem Bogomyakov|2025|Angew.Chem.,Int.Ed.|64|e202514043|doi:10.1002/anie.202514043
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.cc2nhb1k
title: CCDC 2457588: Experimental Crystal Structure Determination

description: Related Article: Kristina Smirnova, Irina Golomolzina, Sergey Fokin, Svyatoslav Tolstikov, Platon Chernavin, Gleb Letyagin, Galina Romanenko, Konstantin Zaitsev, Anatoly Melnikov, Sergey Veber, Matvey Fedin, Artem Bogomyakov|2025|Angew.Chem.,Int.Ed.|64|e202514043|doi:10.1002/anie.202514043
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.cc2nqkhg
title: CCDC 2464546: Experimental Crystal Structure Determination

description: Related Article: Tianshou Zhao, Manrong Song, Honglin Chen, Meiling Huang, Youke Chen, Xiaocong Zhou, Jiaheng Hu, JIng Sun, Qinping Jian, Jiayou Ren, Yilin Wang, Bin Liu|2025|ResearchSq.|||doi:10.21203/rs.3.rs-7369273/v1
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.cc2ntnjp
title: CCDC 2467523: Experimental Crystal Structure Determination

description: Related Article: Czenke, Zoltan, Mandi, Attila, Fedics, Miklós Gergely, Barta, Roland Albert, Kiss-Szikszai, Attila, Kurucz-Szabados, Anna, Timari, Istvan, Benyei, Attila, Kiraly, Sandor Balazs, Ostorhazi, Eszter, Zhang, Changsheng, Kicsak, Mate, Kurtan, Tibor|2025|Int.J.Mol.Sci.|26|7777|doi:10.3390/ijms26167777
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.cc2ntnkq
title: CCDC 2467524: Experimental Crystal Structure Determination

description: Related Article: Czenke, Zoltan, Mandi, Attila, Fedics, Miklós Gergely, Barta, Roland Albert, Kiss-Szikszai, Attila, Kurucz-Szabados, Anna, Timari, Istvan, Benyei, Attila, Kiraly, Sandor Balazs, Ostorhazi, Eszter, Zhang, Changsheng, Kicsak, Mate, Kurtan, Tibor|2025|Int.J.Mol.Sci.|26|7777|doi:10.3390/ijms26167777
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.cc2ntnlr
title: CCDC 2467525: Experimental Crystal Structure Determination

description: Related Article: Czenke, Zoltan, Mandi, Attila, Fedics, Miklós Gergely, Barta, Roland Albert, Kiss-Szikszai, Attila, Kurucz-Szabados, Anna, Timari, Istvan, Benyei, Attila, Kiraly, Sandor Balazs, Ostorhazi, Eszter, Zhang, Changsheng, Kicsak, Mate, Kurtan, Tibor|2025|Int.J.Mol.Sci.|26|7777|doi:10.3390/ijms26167777
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.cc2ntnms
title: CCDC 2467526: Experimental Crystal Structure Determination

description: Related Article: Czenke, Zoltan, Mandi, Attila, Fedics, Miklós Gergely, Barta, Roland Albert, Kiss-Szikszai, Attila, Kurucz-Szabados, Anna, Timari, Istvan, Benyei, Attila, Kiraly, Sandor Balazs, Ostorhazi, Eszter, Zhang, Changsheng, Kicsak, Mate, Kurtan, Tibor|2025|Int.J.Mol.Sci.|26|7777|doi:10.3390/ijms26167777
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.cc2ntnnt
title: CCDC 2467527: Experimental Crystal Structure Determination

description: Related Article: Czenke, Zoltan, Mandi, Attila, Fedics, Miklós Gergely, Barta, Roland Albert, Kiss-Szikszai, Attila, Kurucz-Szabados, Anna, Timari, Istvan, Benyei, Attila, Kiraly, Sandor Balazs, Ostorhazi, Eszter, Zhang, Changsheng, Kicsak, Mate, Kurtan, Tibor|2025|Int.J.Mol.Sci.|26|7777|doi:10.3390/ijms26167777
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.cc2ntnpv
title: CCDC 2467528: Experimental Crystal Structure Determination

description: Related Article: Czenke, Zoltan, Mandi, Attila, Fedics, Miklós Gergely, Barta, Roland Albert, Kiss-Szikszai, Attila, Kurucz-Szabados, Anna, Timari, Istvan, Benyei, Attila, Kiraly, Sandor Balazs, Ostorhazi, Eszter, Zhang, Changsheng, Kicsak, Mate, Kurtan, Tibor|2025|Int.J.Mol.Sci.|26|7777|doi:10.3390/ijms26167777
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: 10.7298/06h5-cx23
title: Data and scripts from: Divergent dietary and defensive adaptations of closely related coexisting seed bugs
DOI: 10.5517/ccdc.csd.cc2n3jw6
title: CCDC 2446268: Experimental Crystal Structure Determination

description: Related Article: Pengju Li, Zijian Zhao, Limei Tian, Rong Liu, Xiaotong Wang, Weijian Yang, Yun-Shu Cui, Mark G. Humphrey, Chi Zhang, Ke Hu|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c11969
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.cc2pj87r
title: CCDC 2488284: Experimental Crystal Structure Determination

description: Related Article: Sk Sakir Hossain, Amarajothi Dhakshinamoorthy, Shyam Biswas|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04422
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.cc2pl8n7
title: CCDC 2490219: Experimental Crystal Structure Determination

description: Related Article: Pengju Li, Zijian Zhao, Limei Tian, Rong Liu, Xiaotong Wang, Weijian Yang, Yun-Shu Cui, Mark G. Humphrey, Chi Zhang, Ke Hu|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c11969
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.cc2plflb
title: CCDC 2490372: Experimental Crystal Structure Determination

description: Related Article: Chao Hu, Renzhe Li, Rohan R. Merchant, Yuzuru Kanda, Tian Qin|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c17556
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.cc2pmpbc
title: CCDC 2491573: Experimental Crystal Structure Determination

description: Related Article: Keiyo Nakai, Kuniyoshi Miki, Takashi Kikuchi, Hiroyasu Sato, Keigo Takahira, Robert Bücker, Akito Sasaki, Atsushi Kaga, Ryo Anzai, Mitsuhisa Yamano|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01477
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: 10.15468/dl.kcd6w7
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dolichotis patagonum)",
 "Country is Belgium",
 "GadmGid is BEL.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063221-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs7a4v
title: Occurrence Download

description: A dataset containing 51400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dermochelys coriacea",
 "Year 1903-2025"
 ]
}

 The dataset includes 51400 records from 398 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063216-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-858204
title: Action Towards Inclusion: Keyworker Perspectives on Employability Support for People Furthest from Employment, 2021-2022

description: This collection comprises 12 qualitative interview transcripts with employability “keyworkers” who provided support and interventions to individuals participating in a UK employment support programme that ran from 2017 to 2023. 

Interviews were conducted between November 2021 and February 2022 and explore keyworkers’ roles, practices, and perspectives on supporting participants, particularly those experiencing mental health problems or mental distress, towards employment outcomes. 

Topics covered include keyworkers’ professional backgrounds and day-to-day support processes; the employment-related challenges participants face; how participants describe and conceptualise mental health experiences (including the language used and perceived origins of difficulties); and whether contextual factors such as location (e.g., remote or urban settings) and digital exclusion affect participants’ wellbeing and engagement. Interviews also examine how participants encounter the welfare benefits system and the extent of keyworker involvement in welfare/benefits support, including the influence of Department for Work and Pensions (DWP) structures and requirements and any tensions between programme objectives and benefits processes. 

Finally, the interviews elicit reflections and learning points, including what keyworkers perceive as most helpful for participants, what improvements are needed, and messages for service providers, keyworkers, and programme funders, as well as reflections on programme design and the implications of the programme ending in 2023.
DOI: 10.15468/dl.2w8vwe
title: Occurrence Download

description: A dataset containing 11002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culex pipiens",
 "Year 2000-2025"
 ]
}

 The dataset includes 11002 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063223-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18022086
title: LLM-Generated Library Imports

description: This is the replication package for the paper "How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow" submitted to TSE. 

Preprint on arXiv. 

Abstract: 

Software libraries are central to the functionality, security, and maintainability of modern code. As developers increasingly turn to Large Language Models (LLMs) to assist with programming tasks, understanding how these models recommend libraries is essential. In this paper, we conduct an empirical study of six state-of-the-art LLMs, both proprietary and open-source, by prompting them to solve real-world Python problems sourced from Stack Overflow. We analyze the types of libraries they import, the characteristics of those libraries, and the extent to which the recommendations are usable out of the box. Our results show that LLMs predominantly favour third-party libraries over standard ones, and often recommend mature, popular, and permissively licensed dependencies. However, we also identify gaps in usability: 4.6% of the libraries could not be resolved automatically due to structural mismatches between import names and installable packages, and few models provided installation guidance. While the generated code is technically valid, the lack of contextual support places the burden of manually resolving dependencies on the user. Our findings offer actionable insights for both developers and researchers, and highlight opportunities to improve the reliability and usability of LLM-generated code in the context of software dependencies.
DOI: 10.5281/zenodo.15880964
title: LLM-Generated Library Imports

description: This is the replication package for the paper "How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow" submitted to TSE. 

Preprint on arXiv. 

Abstract: 

Software libraries are central to the functionality, security, and maintainability of modern code. As developers increasingly turn to Large Language Models (LLMs) to assist with programming tasks, understanding how these models recommend libraries is essential. In this paper, we conduct an empirical study of six state-of-the-art LLMs, both proprietary and open-source, by prompting them to solve real-world Python problems sourced from Stack Overflow. We analyze the types of libraries they import, the characteristics of those libraries, and the extent to which the recommendations are usable out of the box. Our results show that LLMs predominantly favour third-party libraries over standard ones, and often recommend mature, popular, and permissively licensed dependencies. However, we also identify gaps in usability: 4.6% of the libraries could not be resolved automatically due to structural mismatches between import names and installable packages, and few models provided installation guidance. While the generated code is technically valid, the lack of contextual support places the burden of manually resolving dependencies on the user. Our findings offer actionable insights for both developers and researchers, and highlight opportunities to improve the reliability and usability of LLM-generated code in the context of software dependencies.
DOI: 10.48322/7d0a-cf96
title: LANL1989 MPA High Resolution

description: LANL1989 Magnetospheric Plasma Analyzer High Resolution Ion and Electron Data