cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fyy9gt
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Oxyura leucocephala (Scopoli, 1769)",
 "Year 2000-2025"
 ]
}

 The dataset includes 139 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008896-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akkbay
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trachypithecus mauritius (Griffith, 1821)"
 ]
}

 The dataset includes 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008795-250227182400228/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.28558952
title: Older Male Football Players Exhibit Significant Hamstring Strength Loss After a Match

description: Data
DOI: 10.58032/agh/tusnpm
title: Effect of Hf on high-temperature oxidation behavior of chromia-forming AlxCoCrFeNi alloys - research data

description: The dataset includes the part of the results used in the article titled: "Effect of Hf on high-temperature oxidation behavior of chromia-forming AlxCoCrFeNi alloys". The data includes only the results from studies funded by NCN OPUS 25 project granted to Dr Maciej Bik (results of Raman spectroscopy ex-situ studies).
DOI: 10.15468/dl.7tkh8r
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xyleborus spinulosus Blandford, 1898",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 48 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008796-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58032/agh/e1rzk0
title: Oxidation kinetics and electrical properties of oxide scales formed under exposure to air and Ar–H2-H2O atmospheres on the Crofer 22 H ferritic steel for high-temperature applications such as interconnects in solid oxide cell stacks - research data

description: The dataset includes the part of the results used in the article titled: "Oxidation kinetics and electrical properties of oxide scales formed under exposure to air and Ar–H2-H2O atmospheres on the Crofer 22 H ferritic steel for high-temperature applications such as interconnects in solid oxide cell stacks". The data includes only the results from studies funded by NCN OPUS 25 project granted to Dr Maciej Bik (results of Raman spectroscopy ex-situ studies).
DOI: 10.15468/dl.4yh9p9
title: Occurrence Download

description: A dataset containing 9387044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9387044 records from 2706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008792-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9tc3n
title: Occurrence Download

description: A dataset containing 1076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphis aurantii Boyer de Fonscolombe, 1841)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1076 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000566-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i9788883052194n2p3
title: Indice
DOI: 10.1285/i9788883052194n2p5
title: Premessa
DOI: 10.1285/i9788883052194n2p7
title: Introduzione
DOI: 10.15468/dl.cxhnvx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scirtothrips perseae Nakahara, 1997)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000552-250227182430271/datasets/export for details.
DOI: 10.1285/i9788883052194n2p15
title: PUL II 21-40
DOI: 10.4121/64600497-7ba5-4831-9c94-1b643f600987
title: Data underlying the publication: A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response

description: The dataset is an Axle-Box Acceleration simulation dataset based on the vehicle-track interaction model developed by Dr. Chen Shen, as described in the following reference. The rail and sleepers are meshed using Timoshenko beam elements, while the ballast and railpads are represented as discrete spring-damper pairs.Clamps and bolts are not explicitly modeled; instead, their stiffness is incorporated into the railpad stiffness, a widely accepted simplification in railway track modeling. The wheel is simplified as a rigid mass, and the wheel-rail contact is modeled using a Hertzian spring. ABA measurements are simulated at an operational speed of 65 km/h by considering floating stiffness reduction. This is the raw dataset and additive white Gaussian noise scenarios are generated as the paper explains. For details on the dataset, please refer to the cited papers.<br>If you use this dataset, ensure proper citation of the following references.<br>*Shen, C., P. Zhang, R. Dollevoet, A. Zoeteman, and Z. Li, Evaluating Railway Track Stiffness Using20 Axle Box Accelerations: A Digital Twin Approach. Mechanical Systems and Signal Processing, vol.21 204, 2023, p. 110730.22<br>*R. R. Samani, A. Nunez, and B. De Schutter. A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration response. Dec. 3, 2024. doi: 10 . 48550 / arXiv.2412.02643. arXiv: 2412.02643 [cs]. Pre-published.
DOI: 10.4121/64600497-7ba5-4831-9c94-1b643f600987.v1
title: Data underlying the publication: A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response

description: The dataset is an Axle-Box Acceleration simulation dataset based on the vehicle-track interaction model developed by Dr. Chen Shen, as described in the following reference. The rail and sleepers are meshed using Timoshenko beam elements, while the ballast and railpads are represented as discrete spring-damper pairs.Clamps and bolts are not explicitly modeled; instead, their stiffness is incorporated into the railpad stiffness, a widely accepted simplification in railway track modeling. The wheel is simplified as a rigid mass, and the wheel-rail contact is modeled using a Hertzian spring. ABA measurements are simulated at an operational speed of 65 km/h by considering floating stiffness reduction. This is the raw dataset and additive white Gaussian noise scenarios are generated as the paper explains. For details on the dataset, please refer to the cited papers.<br>If you use this dataset, ensure proper citation of the following references.<br>*Shen, C., P. Zhang, R. Dollevoet, A. Zoeteman, and Z. Li, Evaluating Railway Track Stiffness Using20 Axle Box Accelerations: A Digital Twin Approach. Mechanical Systems and Signal Processing, vol.21 204, 2023, p. 110730.22<br>*R. R. Samani, A. Nunez, and B. De Schutter. A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration response. Dec. 3, 2024. doi: 10 . 48550 / arXiv.2412.02643. arXiv: 2412.02643 [cs]. Pre-published.
DOI: 10.1285/i9788883052194n2p121
title: Indice delle parole greche
DOI: 10.1285/i9788883052194n2p127
title: Concordanze fra numeri d'edizione, d'inventario e di Trismegistos
DOI: 10.1285/i9788883052194n2p129
title: Elenco delle tavole
DOI: 10.5281/zenodo.14923246
title: CaDiCaL 2.2 System Description Artifact

description: This is the artifact  of our CaDiCaL 2.2 paper.

We provide results on the benchmarks for the SAT Competition 2024.

The benchmarks were downloaded from the competition page.

- `bin` binary contains the actual binaries used- `src` contains the source code of all solvers and tooles used- `cadical-2.2` contains the experimental results for the new CaDiCaL 2.2- `cadical-2.0` contains the experimental results for the old CaDiCaL 2.0- `kissat-mab-hywalk-sc2022` results for the winner of SAT Competition 2024- `kissat-sc2024` results for the winner of the SAT Competition 2024- `sbva-cadical-sc2023` results for the winner of the SAT Competition 2023
DOI: 10.5281/zenodo.14923247
title: CaDiCaL 2.2 System Description Artifact

description: This is the artifact  of our cadical-mega-merge paper.

We provide results on the benchmarks for the SAT Competition 2024.

The benchmarks were downloaded from the competition page.

- `bin` binary contains the actual binaries used- `src` contains the source code of all solvers and tooles used- `cadical-2.2` contains the experimental results for the new CaDiCaL 2.2- `cadical-2.0` contains the experimental results for the old CaDiCaL 2.0- `kissat-mab-hywalk-sc2022` results for the winner of SAT Competition 2024- `kissat-sc2024` results for the winner of the SAT Competition 2024- `sbva-cadical-sc2023` results for the winner of the SAT Competition 2023
DOI: 10.5281/zenodo.14926824
title: CaDiCaL 2.2 System Description Artifact

description: This is the artifact  of our cadical-mega-merge paper.

We provide results on the benchmarks for the SAT Competition 2024.

The benchmarks were downloaded from the competition page.

- `bin` binary contains the actual binaries used- `src` contains the source code of all solvers and tooles used- `cadical-2.2` contains the experimental results for the new CaDiCaL 2.2- `cadical-2.0` contains the experimental results for the old CaDiCaL 2.0- `kissat-mab-hywalk-sc2022` results for the winner of SAT Competition 2024- `kissat-sc2024` results for the winner of the SAT Competition 2024- `sbva-cadical-sc2023` results for the winner of the SAT Competition 2023
DOI: 10.5281/zenodo.14944298
title: CaDiCaL 2.2 System Description Artifact

description: This is the artifact  of our CaDiCaL 2.2 paper.

We provide results on the benchmarks for the SAT Competition 2024.

The benchmarks were downloaded from the competition page.

- `bin` binary contains the actual binaries used- `src` contains the source code of all solvers and tooles used- `cadical-2.2` contains the experimental results for the new CaDiCaL 2.2- `cadical-2.0` contains the experimental results for the old CaDiCaL 2.0- `kissat-mab-hywalk-sc2022` results for the winner of SAT Competition 2024- `kissat-sc2024` results for the winner of the SAT Competition 2024- `sbva-cadical-sc2023` results for the winner of the SAT Competition 2023
DOI: 10.1285/i9788883052194n2p154
title: Colophon
DOI: 10.5517/ccdc.csd.cc2jjnxn
title: CCDC 2339722: Experimental Crystal Structure Determination

description: Related Article: Rušid Hasić, Majda Kolenović Serezlić, Angelina Caković, Jovana Bogojeski, Danijela Nikodijević, Milena Milutinović, Aleksandra Stanojević, Milena Čavić, Andrei V. Egorov, Andrei V. Komolkin, Ilya V. Kornyakov, Andreas Scheurer, Ralph Puchta, Tanja V. Soldatović|2025|New J.Chem.|49|3617|doi:10.1039/D5NJ00043B
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.cc2jjnyp
title: CCDC 2339723: Experimental Crystal Structure Determination

description: Related Article: Rušid Hasić, Majda Kolenović Serezlić, Angelina Caković, Jovana Bogojeski, Danijela Nikodijević, Milena Milutinović, Aleksandra Stanojević, Milena Čavić, Andrei V. Egorov, Andrei V. Komolkin, Ilya V. Kornyakov, Andreas Scheurer, Ralph Puchta, Tanja V. Soldatović|2025|New J.Chem.|49|3617|doi:10.1039/D5NJ00043B
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.cc2kc1rr
title: CCDC 2364114: Experimental Crystal Structure Determination

description: Related Article: Guodong Shen, Kun Bi, Dehe Wang, Zhirong Zhao, Xuan Tang, Xianqiang Huang, Xin Lv|2025|J.Org.Chem.|90|2602|doi:10.1021/acs.joc.4c02516
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.cc2kg4dl
title: CCDC 2367079: Experimental Crystal Structure Determination

description: Related Article: Imdadul Haque, Mohammed Enamullah, Nisat Taslum Jhumur, Baldeep K. Sidhu, David E. Herbert, Takin Haj Hassani Sohi, Lubomír Havlíček, Ivan Nemec, Christoph Janiak|2025|RSC Advances|15|4250|doi:10.1039/D4RA08700C
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.cc2kn0mw
title: CCDC 2372728: Experimental Crystal Structure Determination

description: Related Article: Sai Puneet Desai, Lei Zhang, Chiara Cappuccino, Andressa V. Müller, David C. Grills, Dmitry E. Polyansky, Renato N. Sampaio, Javier J. Concepcion|2025|J.Am.Chem.Soc.|147|4972|doi:10.1021/jacs.4c14099
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.cc2kn0nx
title: CCDC 2372729: Experimental Crystal Structure Determination

description: Related Article: Sai Puneet Desai, Lei Zhang, Chiara Cappuccino, Andressa V. Müller, David C. Grills, Dmitry E. Polyansky, Renato N. Sampaio, Javier J. Concepcion|2025|J.Am.Chem.Soc.|147|4972|doi:10.1021/jacs.4c14099
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.cc2kn0py
title: CCDC 2372730: Experimental Crystal Structure Determination

description: Related Article: Sai Puneet Desai, Lei Zhang, Chiara Cappuccino, Andressa V. Müller, David C. Grills, Dmitry E. Polyansky, Renato N. Sampaio, Javier J. Concepcion|2025|J.Am.Chem.Soc.|147|4972|doi:10.1021/jacs.4c14099
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.cc2kvv09
title: CCDC 2379281: Experimental Crystal Structure Determination

description: Related Article: Sai Puneet Desai, Lei Zhang, Chiara Cappuccino, Andressa V. Müller, David C. Grills, Dmitry E. Polyansky, Renato N. Sampaio, Javier J. Concepcion|2025|J.Am.Chem.Soc.|147|4972|doi:10.1021/jacs.4c14099
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.cc2ll24f
title: CCDC 2400644: Experimental Crystal Structure Determination

description: Related Article: Christopher J. DeAngelis, Geeta Goyal, Marshall J. Liss, Jessica E. Budwitz, Mary Stuart Herlihy, Audrey V. Conner, Steven E. Wheeler, Pengchen Ma, Miranda Li, K. N. Houk, Christopher G. Newton|2025|J.Am.Chem.Soc.|147|6087|doi:10.1021/jacs.4c17174
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.cc2ll25g
title: CCDC 2400645: Experimental Crystal Structure Determination

description: Related Article: Christopher J. DeAngelis, Geeta Goyal, Marshall J. Liss, Jessica E. Budwitz, Mary Stuart Herlihy, Audrey V. Conner, Steven E. Wheeler, Pengchen Ma, Miranda Li, K. N. Houk, Christopher G. Newton|2025|J.Am.Chem.Soc.|147|6087|doi:10.1021/jacs.4c17174
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.cc2ll26h
title: CCDC 2400646: Experimental Crystal Structure Determination

description: Related Article: Christopher J. DeAngelis, Geeta Goyal, Marshall J. Liss, Jessica E. Budwitz, Mary Stuart Herlihy, Audrey V. Conner, Steven E. Wheeler, Pengchen Ma, Miranda Li, K. N. Houk, Christopher G. Newton|2025|J.Am.Chem.Soc.|147|6087|doi:10.1021/jacs.4c17174
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: 10.6084/m9.figshare.28107764
title: Embedding context within text in urban research discourse: Steps and considerations for early-career researchers in writing literature reviews

description: This review article proposes a transformative approach for early-career researchers in urban studies to rethink the role of “context” in their literature reviews. Instead of simply summarizing existing research, it calls for a deeper investigation into the intricate relationship between context and text. Drawing on insights from a brainstorming session with 15 early-career researchers, bibliometric analysis, and directed content analysis of foundational social science works, the study highlights the hidden dynamics of this context-text interaction. It identifies four interconnected themes and four overarching contextual forces shaping this interplay, offering five key insights into the impact of context on textual analysis.Furthermore, the article presents a five-step methodological framework and practical guidelines designed to help researchers integrate context into their literature reviews, enhancing the analytical depth and significance of their work. By bridging broader academic discussions with applied fields such as architecture, urban planning, and urban design—fields that heavily rely on contextual analysis and socio-spatial theory—the study equips early-career researchers with the tools to use context as a methodological asset in academic writing. This approach encourages researchers to incorporate historical and contextual analysis effectively, enriching their work's depth and relevance. In doing so, it enhances their chances of publishing in leading peer-reviewed journals indexed in major academic databases, ultimately elevating the quality and scholarly impact of their research.
DOI: 10.6084/m9.figshare.28107764.v4
title: Embedding context within text in urban research discourse: Steps and considerations for early-career researchers in writing literature reviews

description: This review article proposes a transformative approach for early-career researchers in urban studies to rethink the role of “context” in their literature reviews. Instead of simply summarizing existing research, it calls for a deeper investigation into the intricate relationship between context and text. Drawing on insights from a brainstorming session with 15 early-career researchers, bibliometric analysis, and directed content analysis of foundational social science works, the study highlights the hidden dynamics of this context-text interaction. It identifies four interconnected themes and four overarching contextual forces shaping this interplay, offering five key insights into the impact of context on textual analysis.Furthermore, the article presents a five-step methodological framework and practical guidelines designed to help researchers integrate context into their literature reviews, enhancing the analytical depth and significance of their work. By bridging broader academic discussions with applied fields such as architecture, urban planning, and urban design—fields that heavily rely on contextual analysis and socio-spatial theory—the study equips early-career researchers with the tools to use context as a methodological asset in academic writing. This approach encourages researchers to incorporate historical and contextual analysis effectively, enriching their work's depth and relevance. In doing so, it enhances their chances of publishing in leading peer-reviewed journals indexed in major academic databases, ultimately elevating the quality and scholarly impact of their research.