cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15272119
title: RoboSense25-DashGrasp Dataset

description: This dataset comprises data collected by 30 participants during a robotic experiment with and without using the virtual dashboard. Thus, it integrates into the RoboSense25 Dataset and contains task execution times, operator level of fatigue declarations, and task success rates for statistical analysis. 

The software was used in the following works: 





Di Tecco, A., Leonardis, D., Frisoli, A., & Loconsole, C. (2025). Grasping Task in Teleoperation: Impact of Virtual Dashboard on Task Quality and Effectiveness. Robotics, 14(7), 92. https://doi.org/10.3390/robotics14070092
description: This license covers only public files. Antonio Di Tecco can be contacted at www.ditecco.it/contacts to request the Dataset.
DOI: 10.5281/zenodo.15272120
title: RoboSense25-DashGrasp Dataset

description: This dataset comprises data collected by 30 participants during a robotic experiment with and without using the virtual dashboard. Thus, it integrates into the RoboSense25 Dataset and contains task execution times, operator level of fatigue declarations, and task success rates for statistical analysis. 

The software was used in the following works: 





Di Tecco, A., Leonardis, D., Frisoli, A., & Loconsole, C. (2025). Grasping Task in Teleoperation: Impact of Virtual Dashboard on Task Quality and Effectiveness. Robotics, 14(7), 92. https://doi.org/10.3390/robotics14070092
description: This license covers only public files. Antonio Di Tecco can be contacted at www.ditecco.it/contacts to request the Dataset.
DOI: 10.15468/dl.nv7qdy
title: Occurrence Download

description: A dataset containing 3404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Megabyas flammulatus J.Verreaux & E.Verreaux, 1855",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 3404 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081435-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15775698
title: Ctyper gene matrices v1.1

description: Included are appropriate files for genotyping copy-number variable genes using ctyper.
DOI: 10.15468/dl.fsj4w7
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus alba L.",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081437-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgjb3f
title: Occurrence Download

description: A dataset containing 2949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus alba L.",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2949 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081436-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7303/9617962
title: Testing publish of DOIv6
DOI: 10.15482/usda.adc/27976551
title: Data from: Influence of ultrasound tempering on flour quality of white and sumac sorghum milled on a roller mill

description: Sorghum kernel physical property data generated by co-author Scott Bean as part of a manuscript investigating the use of ultrasound tempering on the milling of sorghum grain.
DOI: 10.15482/usda.adc/27976551.v1
title: Data from: Influence of ultrasound tempering on flour quality of white and sumac sorghum milled on a roller mill

description: Sorghum kernel physical property data generated by co-author Scott Bean as part of a manuscript investigating the use of ultrasound tempering on the milling of sorghum grain.
DOI: 10.7910/dvn/tldklq
title: Design solutions for the hodoscope of the magnetic proton recoil neutron spectrometer of the SPARC tokamak

description: A new 14 MeV neutron spectrometer utilizing the magnetic proton recoil (MPR) technique is under development for the SPARC tokamak. This instrument measures neutrons by converting them into protons, whose momenta are subsequently analyzed using a series of magnets before detection by an array of scintillators known as the hodoscope. In this work, we explore various solutions for the hodoscope detectors through laboratory tests with radioactive sources and simulations. We present findings on light collection and pulse shape discrimination based on detector types, as well as optimal solutions for photo-detectors studying the differences between SiPM and PMT. Our results also led to the determination of a better optimized design for the hodoscope detectors, consisting of a 0.7 cm width and a 13 cm length EJ276D scintillation rod.
description: CITATION: Rev. Sci. Instrum. 95, 083508 (2024)<br><br>PUBLISHED VERSION DOI: http://doi.org/10.1063/5.0219463<br><br>PSFC REPORT PSFC/JA-24-140<br><br>This work was supported by Commonwealth Fusion Systems and ENI SpA.<br><br>If this record does not contain the full text, then the manuscript has been embargoed by the publisher thus restricting open access for 12 to 24 months after publication.
DOI: 10.15468/dl.trq8ew
title: Occurrence Download

description: A dataset containing 20363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juncus effusus L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20363 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081438-250525065834625/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.28760746
title: Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation

description: Studying unified model averaging estimation for situations with complicated data structures, we propose a novel model averaging method based on cross-validation (MACV). MACV unifies a large class of new and existing model averaging estimators and covers a very general class of loss functions. Furthermore, to reduce the computational burden caused by the conventional leave-subject/one-out cross-validation, we propose a SEcond-order-Approximated Leave-one/subject-out (SEAL) cross-validation, which largely improves the computation efficiency. In the context of nonindependent and non-identically distributed random variables, we establish the unified theory for analyzing the asymptotic behaviors of the proposed MACV and SEAL methods, where the number of candidate models is allowed to diverge with sample size. To demonstrate the breadth of the proposed methodology, we exemplify four optimal model averaging estimators under four important situations, that is, longitudinal data with discrete responses, within-cluster correlation structure modeling, conditional prediction in spatial data, and quantile regression with a potential correlation structure. We conduct extensive simulation studies and analyze real-data examples to illustrate the advantages of the proposed methods. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.28760746.v3
title: Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation

description: Studying unified model averaging estimation for situations with complicated data structures, we propose a novel model averaging method based on cross-validation (MACV). MACV unifies a large class of new and existing model averaging estimators and covers a very general class of loss functions. Furthermore, to reduce the computational burden caused by the conventional leave-subject/one-out cross-validation, we propose a SEcond-order-Approximated Leave-one/subject-out (SEAL) cross-validation, which largely improves the computation efficiency. In the context of nonindependent and non-identically distributed random variables, we establish the unified theory for analyzing the asymptotic behaviors of the proposed MACV and SEAL methods, where the number of candidate models is allowed to diverge with sample size. To demonstrate the breadth of the proposed methodology, we exemplify four optimal model averaging estimators under four important situations, that is, longitudinal data with discrete responses, within-cluster correlation structure modeling, conditional prediction in spatial data, and quantile regression with a potential correlation structure. We conduct extensive simulation studies and analyze real-data examples to illustrate the advantages of the proposed methods. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.26129/edaphobase-358790
title: INPEDIV 2019-2022 Oribatida - influence of landuse on Oribatida community structure in adjacent grasslands

description: INPEDIV, an interdisciplinary joint project of 7 partner institutes, funded by Leibniz Competition, investigates the consequences of organic and conventional farming for biodiversity in protected areas focusing on land use effects on a broad range of plant and animal taxa. The 20 study sites are located in the Rhineland and in Brandenburg. The Soil Biodiversity Work Package was led by the Soil Zoology Department in Senckenberg Görlitz and studied the relative importance of local and landscape-level factors for diversity and abundance of soil invetebrates, i.e. Nematoda, Oribatida and Lumbricidae as well as soil-biological decomposition activities and how these patterns change along gradients of pesticide load and nutrient content in the soil - from farmland to adjacent protected grassland sites.  Field sampling of 20 transects took place in springs of the years 2019, 2020 and 2021. Additional to the composition of faunal communities, we measured a number of soil physico-chemical parameters e.g., carbon, nitrogen, phosphorus, particle size distribution, plant available nutrients, pH, soil moisture.
DOI: 10.6084/m9.figshare.28760746.v2
title: Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation

description: Studying unified model averaging estimation for situations with complicated data structures, we propose a novel model averaging method based on cross-validation (MACV). MACV unifies a large class of new and existing model averaging estimators and covers a very general class of loss functions. Furthermore, to reduce the computational burden caused by the conventional leave-subject/one-out cross-validation, we propose a SEcond-order-Approximated Leave-one/subject-out (SEAL) cross-validation, which largely improves the computation efficiency. In the context of nonindependent and non-identically distributed random variables, we establish the unified theory for analyzing the asymptotic behaviors of the proposed MACV and SEAL methods, where the number of candidate models is allowed to diverge with sample size. To demonstrate the breadth of the proposed methodology, we exemplify four optimal model averaging estimators under four important situations, that is, longitudinal data with discrete responses, within-cluster correlation structure modeling, conditional prediction in spatial data, and quantile regression with a potential correlation structure. We conduct extensive simulation studies and analyze real-data examples to illustrate the advantages of the proposed methods. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.5281/zenodo.15773071
title: ChatGPT as Economics Tutor: Capabilities and Limitations

description: The dataset comprises responses generated by ChatGPT using three different models (GPT-3.5, GPT-4o, and o1preview) evaluated for their effectiveness as an automated tutor in economics education at universities. The dataset focuses on two key use cases:





Explanations of 56 Basic Economic Concepts




Answers and Explanations to 25 Multiple-Choice Questions



The concepts and questions were sourced from CORE Econ’s The Economy 1.0 textbook. The selected content includes foundational ideas like "Opportunity Costs" and "Aggregate Demand," as well as more advanced topics such as "Asymmetric Information" and "Economic Rent."

Responses were generated using standardized prompts that simulate student interactions with ChatGPT. Each response was evaluated using a detailed marking grid that included both problem-specific and response-specific indicators—such as accuracy, scope, error types. A moderation process was applied to ensure reliability, with disagreements resolved through discussion.

The final dataset consolidates all model outputs, and their evaluations. It is suitable for analyzing the pedagogical potential and limitations of large language models in educational contexts. Further, all scripts used to evaluate the responses and perform the statistical analysis are included.

For more detail see the paper: Brose, Natalie, Christian Spielmann, and Christian Tode. ChatGPT as Economics Tutor: Capabilities and Limitations. School of Economics, University of Bristol, UK, 2025.
DOI: 10.5281/zenodo.15773072
title: ChatGPT as Economics Tutor: Capabilities and Limitations

description: The dataset comprises responses generated by ChatGPT using three different models (GPT-3.5, GPT-4o, and o1preview) evaluated for their effectiveness as an automated tutor in economics education at universities. The dataset focuses on two key use cases:





Explanations of 56 Basic Economic Concepts




Answers and Explanations to 25 Multiple-Choice Questions



The concepts and questions were sourced from CORE Econ’s The Economy 1.0 textbook. The selected content includes foundational ideas like "Opportunity Costs" and "Aggregate Demand," as well as more advanced topics such as "Asymmetric Information" and "Economic Rent."

Responses were generated using standardized prompts that simulate student interactions with ChatGPT. Each response was evaluated using a detailed marking grid that included both problem-specific and response-specific indicators—such as accuracy, scope, error types. A moderation process was applied to ensure reliability, with disagreements resolved through discussion.

The final dataset consolidates all model outputs, and their evaluations. It is suitable for analyzing the pedagogical potential and limitations of large language models in educational contexts. Further, all scripts used to evaluate the responses and perform the statistical analysis are included.

For more detail see the paper: Brose, Natalie, Christian Spielmann, and Christian Tode. ChatGPT as Economics Tutor: Capabilities and Limitations. School of Economics, University of Bristol, UK, 2025.
DOI: 10.5281/zenodo.15776234
title: TWINRD D2.1 First dataset (patent family counts not broken down by subcategories of green and digital)

description: See deliverable text for information.
DOI: 10.5281/zenodo.15776235
title: TWINRD D2.1 First dataset (patent family counts not broken down by subcategories of green and digital)

description: See deliverable text for information.
DOI: 10.15468/dl.yy367t
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus nigra L.",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 139 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081441-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7zd7d
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus nigra L.",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 715 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081442-250525065834625/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.cc27w3y6
title: CCDC 2081648: Experimental Crystal Structure Determination

description: Related Article:  Yoshimasa Taniguchi, Takashi Kikuchi, Sota Sato, Makoto Fujita|2022|Chem.-Eur.J.|28|e202103339|doi:10.1002/chem.202103339
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.cc27w3z7
title: CCDC 2081649: Experimental Crystal Structure Determination

description: Related Article:  Yoshimasa Taniguchi, Takashi Kikuchi, Sota Sato, Makoto Fujita|2022|Chem.-Eur.J.|28|e202103339|doi:10.1002/chem.202103339
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.cc2cb394
title: CCDC 2184455: Experimental Crystal Structure Determination

description: Related Article: Nguyen Van Ha, Trieu Thi Nguyet, Doan Thanh Dat|2021|VNU J. Sci. Nat. Sci. Techn.|37|81|doi:10.25073/2588-1140/vnunst.5165
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.cc2c9h39
title: CCDC 2183860: Experimental Crystal Structure Determination

description: Related Article: Amina Benchohra, Simon Séjourné, Antoine Labrunie, Liam Miller, Enzo Charbonneau, Vincent Carré, Frédéric Aubriet, Magali Allain, Marc Sallé, Sébastien Goeb|2022|Inorganics|10|103|doi:10.3390/inorganics10070103
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.cc2cb3b5
title: CCDC 2184456: Experimental Crystal Structure Determination

description: Related Article: Dinh Thi Hien, Khuat Thi Thuy Ha, Nguyen Tien Dat, Dinh Thi Thao, Nguyen Minh Hai|2021|VNU J. Sci. Nat. Sci. Techn.|37|35|doi:10.25073/2588-1140/vnunst.5152
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: 10.23728/b2share.21cf771a243a4020b839a3e0271b482a
title: Domestic and Global Dynamics of the Drinking Water Industry in India: An Evaluation of its Scope, Prospects, and Challenges

description: India owns substantial freshwater resources but, at the same time, the country faces the issue of safe and pure drinking water accessibility. This paper evaluates the advent and growth of the drinking water industry in India. It conducts a review of the scope of the bottled water market, the point-of-use (PoU) water purifier sector and emerging community water systems. The study examines the major internal dynamics such as including socio economic changes and issues of water pollution crucially affecting the industry. The paper throws light into the global dynamics of the industry. The paper also explores the prospects and challenges of the drinking water industry in India.
DOI: 10.25505/fiz.icsd.cc2c9h5c
title: CSD 2183862: Experimental Crystal Structure Determination

description: Related Article: Florian Pielnhofer, Sebastian Bette, Roland Eger, Viola Duppel, Jürgen Nuss, Christian Dolle, Robert E. Dinnebier, Bettina V. Lotsch|2022|Z.Anorg.Allg.Chem.|648|e202200234|doi:10.1002/zaac.202200234
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c9h4b
title: CCDC 2183861: Experimental Crystal Structure Determination

description: Related Article: Amina Benchohra, Simon Séjourné, Antoine Labrunie, Liam Miller, Enzo Charbonneau, Vincent Carré, Frédéric Aubriet, Magali Allain, Marc Sallé, Sébastien Goeb|2022|Inorganics|10|103|doi:10.3390/inorganics10070103
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.cc2c9h8g
title: CCDC 2183865: Experimental Crystal Structure Determination

description: Related Article: Xin Xiaoyan, Chen Fengjiao, Li Wenyu, Wang Jie, Yang Chen, Li Min, Shi Ying, Wang Wenmin|2023|Wuji Huaxue Xuebao|39|1|doi:10.11862/CJIC.2022.268
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.cc2c9hbj
title: CCDC 2183867: Experimental Crystal Structure Determination

description: Related Article: Xin Xiaoyan, Chen Fengjiao, Li Wenyu, Wang Jie, Yang Chen, Li Min, Shi Ying, Wang Wenmin|2023|Wuji Huaxue Xuebao|39|1|doi:10.11862/CJIC.2022.268
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.