cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48623/aperta.252199
title: The Dataset Obtained Under Controlled Conditions For Raisins.

description: In this dataset, a total of 2636 cropped raisin images were obtained. The dataset was labeled using Roboflow for raisin classification. The raisins in the dataset were divided into three classes as the 1st class, 2nd class, and capstem.
DOI: 10.6084/m9.figshare.21856404.v1
title: Location adjustment of floating net cage envoironments for firsheries using the fuzzy logic method

description: this study aims to develop a fuzzy logic approach for decision-making on the KJA displacement to avoid poor water quality
DOI: 10.6084/m9.figshare.21856404
title: Location adjustment of floating net cage envoironments for firsheries using the fuzzy logic method

description: this study aims to develop a fuzzy logic approach for decision-making on the KJA displacement to avoid poor water quality
DOI: 10.6084/m9.figshare.21856416
title: The fuzzy logic method

description: This study aims to develop a fuzzy logic approach for decision-making on the KJA displacement to avoid poor water quality.
DOI: 10.6084/m9.figshare.21856416.v1
title: The fuzzy logic method

description: This study aims to develop a fuzzy logic approach for decision-making on the KJA displacement to avoid poor water quality.
DOI: 10.5281/zenodo.7473925
title: Inventories of 17th-century Dutch painters and art dealers: the Künstler-Inventare database

description: Abraham Bredius’ seminal work <em>Künstler-Inventare </em>contains over 150 inventories of artists’ possessions in the Dutch Republic. However, this rich source has never been fully transformed into datasets, partially because Bredius was selective in his transcriptions of artists’ inventories with a focus on paintings. To fill this gap and to overcome Bredius’ biases, the Virtual Interior project assembled and transcribed 46 inventories of artists’ and art dealers’ homes in 17<sup>th</sup>-century Amsterdam. The selection of the inventories was based on three criteria: 1) The artists’ and art dealers’ inventories in my sample were drawn up during an artist’s lifetime or shortly after his death; 2) the inventories listed goods arranged by room; 3) the original documents of the inventories can still be traced in the Amsterdam City Archives. Forty-six inventories were selected and transcribed from the original sources or copied from existing publications. The majority of my samples can be found in the notarial archives (Archive nr. 5075) and the rest in the Archive of the Chamber of Insolvency (<em>Desolate Boedel kamer, </em>Archive nr. 5072), both preserved in the Amsterdam City Archives<em>. </em>Starting with the published inventories, Bart Reuvekamp from our project team traced them back to the original sources in the archive, transcribed centuries-old handwritten pages, and compiled the listed objects in digital form. In this way, our database is able to encompass all belongings present in painters’ workshops, filling in the blanks that Bredius and other authors neglected or chose to leave out – the missing information that once hindered our comprehension of how artists organized their studios. The dataset is organized as follows: <strong>1_Intro_and_data_explanation.xlsx</strong> introduces the dataset and explains the columns in the following files <strong>2_Inventory_list.csv</strong> hosts the details of the inventories in this dataset <strong>3_Inventory_items.csv</strong> contains the full transcriptions and categorical data of the objects in the inventories <strong>4_Inventory_relationships.csv</strong> captures all the people mentioned in the inventories in the pre- or postscript and/or as debtors or creditors <strong>5_Inventory_category_reference.csv</strong> provides a reference table for the ‘object_type’ and ‘object_category’ columns in 3_Inventory_items.csv <strong>6_Inventory_subjectmatter_reference.csv</strong> offers a reference table for the ‘painting_subject’ and ‘painting_genre’ columns in 3_Inventory_items.csv <strong>NB: This <em>Künstler-Inventare database </em>is a provisional version. The correction and final data process has not been fully finished in Version 1. The transcriptions might contain errors and need to be treated with caution. </strong> <strong> </strong>
description: This project is financed by NWO Smart Culture - Big Data / Digital Humanities grant
DOI: 10.5281/zenodo.7473926
title: Inventories of 17th-century Dutch painters and art dealers: the Künstler-Inventare database

description: Abraham Bredius’ seminal work <em>Künstler-Inventare </em>contains over 150 inventories of artists’ possessions in the Dutch Republic. However, this rich source has never been fully transformed into datasets, partially because Bredius was selective in his transcriptions of artists’ inventories with a focus on paintings. To fill this gap and to overcome Bredius’ biases, the Virtual Interior project assembled and transcribed 46 inventories of artists’ and art dealers’ homes in 17<sup>th</sup>-century Amsterdam. The selection of the inventories was based on three criteria: 1) The artists’ and art dealers’ inventories in my sample were drawn up during an artist’s lifetime or shortly after his death; 2) the inventories listed goods arranged by room; 3) the original documents of the inventories can still be traced in the Amsterdam City Archives. Forty-six inventories were selected and transcribed from the original sources or copied from existing publications. The majority of my samples can be found in the notarial archives (Archive nr. 5075) and the rest in the Archive of the Chamber of Insolvency (<em>Desolate Boedel kamer, </em>Archive nr. 5072), both preserved in the Amsterdam City Archives<em>. </em>Starting with the published inventories, Bart Reuvekamp from our project team traced them back to the original sources in the archive, transcribed centuries-old handwritten pages, and compiled the listed objects in digital form. In this way, our database is able to encompass all belongings present in painters’ workshops, filling in the blanks that Bredius and other authors neglected or chose to leave out – the missing information that once hindered our comprehension of how artists organized their studios. The dataset is organized as follows: <strong>1_Intro_and_data_explanation.xlsx</strong> introduces the dataset and explains the columns in the following files <strong>2_Inventory_list.csv</strong> hosts the details of the inventories in this dataset <strong>3_Inventory_items.csv</strong> contains the full transcriptions and categorical data of the objects in the inventories <strong>4_Inventory_relationships.csv</strong> captures all the people mentioned in the inventories in the pre- or postscript and/or as debtors or creditors <strong>5_Inventory_category_reference.csv</strong> provides a reference table for the ‘object_type’ and ‘object_category’ columns in 3_Inventory_items.csv <strong>6_Inventory_subjectmatter_reference.csv</strong> offers a reference table for the ‘painting_subject’ and ‘painting_genre’ columns in 3_Inventory_items.csv <strong>NB: This <em>Künstler-Inventare database </em>is a provisional version. The correction and final data process has not been fully finished in Version 1. The transcriptions might contain errors and need to be treated with caution. </strong> <strong> </strong>
description: This project is financed by NWO Smart Culture - Big Data / Digital Humanities grant
DOI: 10.5281/zenodo.7501586
title: 3D reconstruction hypothesis of the 17th century entrance hall ('voorhuis') of Herengracht 573, Amsterdam

description: 3D reconstruction hypothesis of the 17<sup>th</sup> century entrance hall (‘voorhuis’) of Herengracht 573 in Amsterdam based on information retrieved from the probate inventory (10.5281/zenodo.7501160) and the VOC almanacs of Pieter de Graeff, and building historical research. The 3D reconstruction hypothesis and related sources are discussed in Chiara Piccoli, 'Home-making in 17th century Amsterdam: A 3D reconstruction to investigate visual cues in the entrance hall of Pieter de Graeff (1638-1707)', in G. Landeschi and E. Betts (eds.), <em>Capturing the Senses. Digital Methods for Sensory Archaeologies</em> (Cham: Springer, 2023 forthcoming). The 3D <em>voorhuis</em> can be interactively explored via the prototype <em>Virtual Interiors</em> webviewer (https://www.virtualinteriorsproject.nl/output/). A screencast of the interactive exploration can be viewed at https://doi.org/10.1515/opar-2020-0142 or at https://dx.doi.org/10.21942/uva.14424218 For further details about the aims and the development of the webviewer, see Hugo Huurdeman and Chiara Piccoli 2021. ‘3D Reconstructions as Research Hubs: Geospatial Interfaces for Real-Time Data Exploration of Seventeenth-Century Amsterdam Domestic Interiors’, <em>Open Archaeology</em>, vol. 7 (1), 314-336. https://doi.org/10.1515/opar-2020-0142 and Hugo Huurdeman 2021. ‘Analyze & Experience: Towards a Research Environment for 3D Reconstructions’ (https://www.virtualinteriorsproject.nl/2021/08/04/towards-a-3d-research-environment/) This research was part of the NWO-funded project <em>Virtual Interiors</em> (2018-2022; https://www.virtualinteriorsproject.nl/).
description: {"references": ["Chiara Piccoli, 'Home-making in 17th century Amsterdam: A 3D reconstruction to investigate visual cues in the entrance hall of Pieter de Graeff (1638-1707)', in G. Landeschi and E. Betts (eds.), Capturing the Senses. Digital Methods for Sensory Archaeologies (Cham: Springer, 2023 forthcoming)."]}
DOI: 10.5281/zenodo.7501587
title: 3D reconstruction hypothesis of the 17th century entrance hall ('voorhuis') of Herengracht 573, Amsterdam

description: 3D reconstruction hypothesis of the 17<sup>th</sup> century entrance hall (‘voorhuis’) of Herengracht 573 in Amsterdam based on information retrieved from the probate inventory (10.5281/zenodo.7501160) and the VOC almanacs of Pieter de Graeff, and building historical research. The 3D reconstruction hypothesis and related sources are discussed in Chiara Piccoli, 'Home-making in 17th century Amsterdam: A 3D reconstruction to investigate visual cues in the entrance hall of Pieter de Graeff (1638-1707)', in G. Landeschi and E. Betts (eds.), <em>Capturing the Senses. Digital Methods for Sensory Archaeologies</em> (Cham: Springer, 2023 forthcoming). The 3D <em>voorhuis</em> can be interactively explored via the prototype <em>Virtual Interiors</em> webviewer (https://www.virtualinteriorsproject.nl/output/). A screencast of the interactive exploration can be viewed at https://doi.org/10.1515/opar-2020-0142 or at https://dx.doi.org/10.21942/uva.14424218 For further details about the aims and the development of the webviewer, see Hugo Huurdeman and Chiara Piccoli 2021. ‘3D Reconstructions as Research Hubs: Geospatial Interfaces for Real-Time Data Exploration of Seventeenth-Century Amsterdam Domestic Interiors’, <em>Open Archaeology</em>, vol. 7 (1), 314-336. https://doi.org/10.1515/opar-2020-0142 and Hugo Huurdeman 2021. ‘Analyze & Experience: Towards a Research Environment for 3D Reconstructions’ (https://www.virtualinteriorsproject.nl/2021/08/04/towards-a-3d-research-environment/) This research was part of the NWO-funded project <em>Virtual Interiors</em> (2018-2022; https://www.virtualinteriorsproject.nl/).
description: {"references": ["Chiara Piccoli, 'Home-making in 17th century Amsterdam: A 3D reconstruction to investigate visual cues in the entrance hall of Pieter de Graeff (1638-1707)', in G. Landeschi and E. Betts (eds.), Capturing the Senses. Digital Methods for Sensory Archaeologies (Cham: Springer, 2023 forthcoming)."]}
DOI: 10.5281/zenodo.7519946
title: Bibliometric analysis of microplastics in recent years

description: The graph and table data are included in the data set. The table data is in excel, while the graph has the other three files drawn by the software
DOI: 10.5281/zenodo.7519945
title: Bibliometric analysis of microplastics in recent years

description: The graph and table data are included in the data set. The table data is in excel, while the graph has the other three files drawn by the software
DOI: 10.6084/m9.figshare.21856470
title: Untitled Item

description: We recruited three kindergartens in Changsha, China, by telephone through a convenience sample to conduct the questionnaire survey. In China, kindergartens are usually divided into three grades, with 3-4 years old being grade 1, 4-5 years old being grade 2, and 5-6 years old being grade 3. Each of the three kindergartens sampled had 3-4 classes in each grade. We randomly selected two classes in each grade in each kindergarten, and ended up recruiting a total of six first grade, six second grade, and six third grade classes, with a total of 560 children and their parents as subjects in this experiment. The children in this experiment were all aged between 3-6 years old and did not have any physical or psychological illness. Questionnaires were given to the parents of these children and a total of 1021 valid questionnaires were collected after eliminating 99 invalid questionnaires, including 478 questionnaires from fathers and 543 questionnaires from mothers.The Childhood Trauma Questionnaire (CTQ), the Parenting Sense of Competence Scale (PSOC), and the Early Childhood Attachment Scale were completed by 1021 parents of young children aged 3-6 years from China (478 fathers and 543 mothers, Mage = 35.29, SD = 4.802).
DOI: 10.6084/m9.figshare.21856470.v1
title: Untitled Item

description: We recruited three kindergartens in Changsha, China, by telephone through a convenience sample to conduct the questionnaire survey. In China, kindergartens are usually divided into three grades, with 3-4 years old being grade 1, 4-5 years old being grade 2, and 5-6 years old being grade 3. Each of the three kindergartens sampled had 3-4 classes in each grade. We randomly selected two classes in each grade in each kindergarten, and ended up recruiting a total of six first grade, six second grade, and six third grade classes, with a total of 560 children and their parents as subjects in this experiment. The children in this experiment were all aged between 3-6 years old and did not have any physical or psychological illness. Questionnaires were given to the parents of these children and a total of 1021 valid questionnaires were collected after eliminating 99 invalid questionnaires, including 478 questionnaires from fathers and 543 questionnaires from mothers.The Childhood Trauma Questionnaire (CTQ), the Parenting Sense of Competence Scale (PSOC), and the Early Childhood Attachment Scale were completed by 1021 parents of young children aged 3-6 years from China (478 fathers and 543 mothers, Mage = 35.29, SD = 4.802).
DOI: 10.5281/zenodo.6962676
title: Diversity-Driven Unit Test Generation (Data Set)

description: The goal of automated unit test generation tools is to create a set of test cases for the software under test that achieve the highest possible coverage for the selected test quality criteria. The most effective approaches for achieving this goal at the present time use meta-heuristic optimization algorithms to search for new test cases using fitness functions defined on existing sets of test<br> cases and the system under test. Regardless of how their search algorithms are controlled, however, all existing approaches focus on the analysis of exactly one implementation, the software under test, to drive their search processes, which is a limitation on the information they have available. In this paper we investigate whether the practical effectiveness of white box unit test generation tools can be increased by giving them access to multiple, diverse implementations of the functionality under test harvested from widely available Open Source software repositories. After presenting a basic implementation of such an approach, DivGen (Diversity-driven Generation), on top of the leading test generation tool for Java (EvoSuite), we assess the performance of DivGen compared to EvoSuite when applied in its traditional, mono-implementation oriented mode (MonoGen). The results show that while DivGen outperforms MonoGen in 33% of the sampled classes for mutation coverage (+16% higher on average), MonoGen outperforms<br> DivGen in 12.4% of the classes for branch coverage (+10% higher average).
DOI: 10.5281/zenodo.6962675
title: Diversity-Driven Unit Test Generation (Data Set)

description: The goal of automated unit test generation tools is to create a set of test cases for the software under test that achieve the highest possible coverage for the selected test quality criteria. The most effective approaches for achieving this goal at the present time use meta-heuristic optimization algorithms to search for new test cases using fitness functions defined on existing sets of test<br> cases and the system under test. Regardless of how their search algorithms are controlled, however, all existing approaches focus on the analysis of exactly one implementation, the software under test, to drive their search processes, which is a limitation on the information they have available. In this paper we investigate whether the practical effectiveness of white box unit test generation tools can be increased by giving them access to multiple, diverse implementations of the functionality under test harvested from widely available Open Source software repositories. After presenting a basic implementation of such an approach, DivGen (Diversity-driven Generation), on top of the leading test generation tool for Java (EvoSuite), we assess the performance of DivGen compared to EvoSuite when applied in its traditional, mono-implementation oriented mode (MonoGen). The results show that while DivGen outperforms MonoGen in 33% of the sampled classes for mutation coverage (+16% higher on average), MonoGen outperforms<br> DivGen in 12.4% of the classes for branch coverage (+10% higher average).
DOI: 10.5517/ccdc.csd.cc2cn608
title: CCDC 2194149: Experimental Crystal Structure Determination

description: Related Article: Xue Yang, Xiaoyu Tian, Nan Sun, Baoxiang Hu, Zhenlu Shen, Xinquan Hu, Liqun Jin|2022|Organometallics|42|38|doi:10.1021/acs.organomet.2c00470
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.cc2cyhzt
title: CCDC 2203107: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj0w
title: CCDC 2203108: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj1x
title: CCDC 2203109: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj2y
title: CCDC 2203110: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj3z
title: CCDC 2203111: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj40
title: CCDC 2203112: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj51
title: CCDC 2203113: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj62
title: CCDC 2203114: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj73
title: CCDC 2203115: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.