cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c9s5n
title: CCDC 2184141: Experimental Crystal Structure Determination

description: Related Article: Jinqiu You|2023|CSD Communication|||
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.cc2c9s8r
title: CCDC 2184144: Experimental Crystal Structure Determination

description: Related Article: Jinqiu You|2023|CSD Communication|||
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.cc2c9scv
title: CCDC 2184147: Experimental Crystal Structure Determination

description: Related Article: Jinqiu You|2023|CSD Communication|||
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.cc2c9sdw
title: CCDC 2184148: Experimental Crystal Structure Determination

description: Related Article: Jinqiu You|2023|CSD Communication|||
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.cc2c9sgy
title: CCDC 2184150: Experimental Crystal Structure Determination

description: Related Article: Jinqiu You|2023|CSD Communication|||
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.cc2c9sj0
title: CCDC 2184152: Experimental Crystal Structure Determination

description: Related Article: Jinqiu You|2023|CSD Communication|||
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.cc2c9sk1
title: CCDC 2184153: Experimental Crystal Structure Determination

description: Related Article: Jinqiu You|2023|CSD Communication|||
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: 10.5281/zenodo.8411056
title: LFD Workshop data files

description: Data files used for the computer-based training during the LFD Workshop in Advanced Fluorescence Imaging and Dynamics 2006-2021.
DOI: 10.5281/zenodo.8411054
title: LFD Workshop data files

description: Data files used for the computer-based training during the LFD Workshop in Advanced Fluorescence Imaging and Dynamics 2006-2021.
DOI: 10.21410/7e4/hivnaj
title: Linking Wealth and Power - Appendix

description: In this appendix, I provide several additional analyses referenced in the main text. https://sciencespo.hal.science/hal-04228251 The goal of presenting these additional analyses is to give confidence in the robustness and plausibility of results, and to provide more detailed information on data and analyses, as well as some complementary analyses.
DOI: 10.6084/m9.figshare.24250711
title: 2016-2020 Sports tourism competitiveness of Guangdong-Hong Kong-Macao Greater Bay Area

description: This research adopted data from 11 cities in Guangdong-Hong Kong-Macao Greater Bay Area from 2016 to 2020. The data were mainly collected from Guangdong Provincial Statistical Yearbook, the statistical annual reports of the 11 cities, China Tourism Statistical Yearbook, and China Mass Sports Development Annual Report from 2016 to 2020.Among them, C1, C2, C3, C4, C5, C12, C13, C14, C15 and C16 are from the statistical yearbooks of the 11 cities in the Greater Bay Area and China Tourism Statistical Yearbook from 2016 - 2020, and C6, C7, C8 and C9 are from the Statistical Yearbook of Guangdong Province. C10 and C11 are from the number of tourism resources and tournaments released by the Culture, Sports, and Tourism Bureaus (CSSTBs) of the cities, and C17 and C18 are from the data released by the ecological environment bureaus in each city. When a piece of data was inconsistent, it was generally based on higher level department research or the latest research data of the same level department. For the case of the missing of individual statistical data, the average of the data of the following two years was applied for interpolation. In addition, the map of China used in this research was adopted from Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences.
DOI: 10.6084/m9.figshare.24250711.v1
title: 2016-2020 Sports tourism competitiveness of Guangdong-Hong Kong-Macao Greater Bay Area

description: This research adopted data from 11 cities in Guangdong-Hong Kong-Macao Greater Bay Area from 2016 to 2020. The data were mainly collected from Guangdong Provincial Statistical Yearbook, the statistical annual reports of the 11 cities, China Tourism Statistical Yearbook, and China Mass Sports Development Annual Report from 2016 to 2020.Among them, C1, C2, C3, C4, C5, C12, C13, C14, C15 and C16 are from the statistical yearbooks of the 11 cities in the Greater Bay Area and China Tourism Statistical Yearbook from 2016 - 2020, and C6, C7, C8 and C9 are from the Statistical Yearbook of Guangdong Province. C10 and C11 are from the number of tourism resources and tournaments released by the Culture, Sports, and Tourism Bureaus (CSSTBs) of the cities, and C17 and C18 are from the data released by the ecological environment bureaus in each city. When a piece of data was inconsistent, it was generally based on higher level department research or the latest research data of the same level department. For the case of the missing of individual statistical data, the average of the data of the following two years was applied for interpolation. In addition, the map of China used in this research was adopted from Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences.
DOI: 10.5281/zenodo.8347914
title: Replication Data for "Exploring Genetic Improvement of the Carbon Footprint of Web Pages"

description: ## Overview In this study, we explore automated reduction of the carbon footprint of web pages through genetic improvement, a process that produces alternative versions of a program by applying program transformations intended to optimize qualities of interest. We introduce a prototype tool that imposes transformations to HTML, CSS, and JavaScript code, as well as image resources, that minimize the quantity of data transferred and memory usage while also minimizing impact to the user experience (measured through loading time and number of changes imposed). In an evaluation, our tool outperforms two baselines---the original page and randomized changes---in the average case on all projects for data transfer quantity, and 80% of projects for memory usage and load time, often with large effect size. Our results illustrate the applicability of genetic improvement to reduce the carbon footprint of web components, and offer lessons that can benefit the design of future tools. ## Data Contained in This Package - experiment_data/Subject Project-XX-X.xlsx Each spreadsheet contains data collected as part of our experiments, including the fitness scores of the final solutions.
DOI: 10.5281/zenodo.8347915
title: Replication Data for "Exploring Genetic Improvement of the Carbon Footprint of Web Pages"

description: ## Overview In this study, we explore automated reduction of the carbon footprint of web pages through genetic improvement, a process that produces alternative versions of a program by applying program transformations intended to optimize qualities of interest. We introduce a prototype tool that imposes transformations to HTML, CSS, and JavaScript code, as well as image resources, that minimize the quantity of data transferred and memory usage while also minimizing impact to the user experience (measured through loading time and number of changes imposed). In an evaluation, our tool outperforms two baselines---the original page and randomized changes---in the average case on all projects for data transfer quantity, and 80% of projects for memory usage and load time, often with large effect size. Our results illustrate the applicability of genetic improvement to reduce the carbon footprint of web components, and offer lessons that can benefit the design of future tools. ## Data Contained in This Package - experiment_data/Subject Project-XX-X.xlsx Each spreadsheet contains data collected as part of our experiments, including the fitness scores of the final solutions.
DOI: 10.5281/zenodo.8289841
title: Replication Package for "Improving the Readability of Generated Tests Using GPT-4 and ChatGPT Code Interpreter"

description: While automated test generation can decrease the human burden associated with testing, it does not eliminate this burden. Humans must still work with generated test cases to interpret testing results, debug the code, build and maintain a comprehensive test suite, and many other tasks. Therefore, a major challenge with automated test generation is understandability of generated test test cases. Large language models (LLMs), machine learning models trained on massive corpora of textual data - including both natural language and programming languages - are an emerging technology with great potential for performing language-related predictive tasks such as translation, summarization, and decision support. In this study, we are exploring the capabilities of LLMs with regard to improving test case understandability. This package contains the data produced during this exploration: The examples directory contains the three case studies we tested our transformation process on: queue_example: Tests of a basic queue data structure httpie_sessions: Tests of the sessions module from the httpie project. string_utils_validation: Tests of the validation module from the python-string-utils project. Each directory contains the modules-under-test, the original test cases generated by Pynguin, and the transformed test cases. Two trials were performed per case example of the transformation technique to assess the impact of different results from the LLM. The survey directory contains the survey that was sent to assess the impact of the transformation on test readability. survey.pdf contains the survey questions. responses.xlsx contains the survey results.
DOI: 10.5281/zenodo.8289842
title: Replication Package for "Improving the Readability of Generated Tests Using GPT-4 and ChatGPT Code Interpreter"

description: While automated test generation can decrease the human burden associated with testing, it does not eliminate this burden. Humans must still work with generated test cases to interpret testing results, debug the code, build and maintain a comprehensive test suite, and many other tasks. Therefore, a major challenge with automated test generation is understandability of generated test test cases. Large language models (LLMs), machine learning models trained on massive corpora of textual data - including both natural language and programming languages - are an emerging technology with great potential for performing language-related predictive tasks such as translation, summarization, and decision support. In this study, we are exploring the capabilities of LLMs with regard to improving test case understandability. This package contains the data produced during this exploration: The examples directory contains the three case studies we tested our transformation process on: queue_example: Tests of a basic queue data structure httpie_sessions: Tests of the sessions module from the httpie project. string_utils_validation: Tests of the validation module from the python-string-utils project. Each directory contains the modules-under-test, the original test cases generated by Pynguin, and the transformed test cases. Two trials were performed per case example of the transformation technique to assess the impact of different results from the LLM. The survey directory contains the survey that was sent to assess the impact of the transformation on test readability. survey.pdf contains the survey questions. responses.xlsx contains the survey results.
DOI: 10.5281/zenodo.8296610
title: Replication Package for "Improving the Readability of Generated Tests Using GPT-4 and ChatGPT Code Interpreter"

description: While automated test generation can decrease the human burden associated with testing, it does not eliminate this burden. Humans must still work with generated test cases to interpret testing results, debug the code, build and maintain a comprehensive test suite, and many other tasks. Therefore, a major challenge with automated test generation is understandability of generated test test cases. Large language models (LLMs), machine learning models trained on massive corpora of textual data - including both natural language and programming languages - are an emerging technology with great potential for performing language-related predictive tasks such as translation, summarization, and decision support. In this study, we are exploring the capabilities of LLMs with regard to improving test case understandability. This package contains the data produced during this exploration: The examples directory contains the three case studies we tested our transformation process on: queue_example: Tests of a basic queue data structure httpie_sessions: Tests of the sessions module from the httpie project. string_utils_validation: Tests of the validation module from the python-string-utils project. Each directory contains the modules-under-test, the original test cases generated by Pynguin, and the transformed test cases. Two trials were performed per case example of the transformation technique to assess the impact of different results from the LLM. The survey directory contains the survey that was sent to assess the impact of the transformation on test readability. survey.pdf contains the survey questions. responses.xlsx contains the survey results.
DOI: 10.15468/dl.v2s7wr
title: Occurrence Download

description: A dataset containing 5797 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nelumbo nucifera Gaertn."
 ]
}

 The dataset includes 5797 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063889-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eypkyg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nervilia khaoyaica Suddee, Watthana & S.W.Gale"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063890-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ga69z
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onobrychis inermis Steven"
 ]
}

 The dataset includes 110 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063891-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pazy24
title: Occurrence Download

description: A dataset containing 2756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Virginia valeriae Baird & Girard, 1853",
 "Geometry POLYGON((-124.756451627043 24.5232175268442, -124.756451627043 49.3844869955705, -66.9490903544593 49.3844869955705, -66.9490903544593 24.5232175268442, -124.756451627043 24.5232175268442))"
 ]
}

 The dataset includes 2756 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063892-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qazwqw
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophiopogon cordylinoides Prain"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063893-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyp76t
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oberonia thwaitesii Hook.f."
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063894-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukdu58
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ornithoglossum pulchrum Snijman, B.Nord. & Mannh."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063896-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwurz5
title: Occurrence Download

description: A dataset containing 121840 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lathyrus vernus (L.) Bernh."
 ]
}

 The dataset includes 121840 records from 558 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063859-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u68f5k
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nervilia kotschyi (Rchb.f.) Schltr."
 ]
}

 The dataset includes 412 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063898-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtzht3
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onobrychis iranensis Amirab. & Ghanavati"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063899-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fday5p
title: Occurrence Download

description: A dataset containing 124255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pungitius pungitius (Linnaeus, 1758)"
 ]
}

 The dataset includes 124255 records from 321 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063854-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ncnng
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nematopoa longipes (Stapf & C.E.Hubb.) C.E.Hubb."
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063902-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sabc2
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oberonia titania Lindl."
 ]
}

 The dataset includes 494 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063904-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aay6ph
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophiopogon corifolius F.T.Wang & L.K.Dai"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063903-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7t6gt8
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Virginia valeriae elegans Kennicott, 1859",
 "Geometry POLYGON((-124.756451627043 24.5232175268442, -124.756451627043 49.3844869955705, -66.9490903544593 49.3844869955705, -66.9490903544593 24.5232175268442, -124.756451627043 24.5232175268442))"
 ]
}

 The dataset includes 200 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063900-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8snxt
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ornithoglossum undulatum Sweet"
 ]
}

 The dataset includes 189 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063905-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7p55c
title: Occurrence Download

description: A dataset containing 3818 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrmarachne formicaria (De Geer, 1778)"
 ]
}

 The dataset includes 3818 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063901-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.