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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"8997376","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025291-241024112534372/datasets/export for details.
DOI: 10.15468/dl.zhnr96
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9002813","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025292-241024112534372/datasets/export for details.
DOI: 10.15468/dl.fb3q55
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9003698","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025293-241024112534372/datasets/export for details.
DOI: 10.5281/zenodo.5816385
title: How solution snippets are presented in answers posted on Stack Overflow and how they could be potentially reused.

description: Researchers use datasets of Question-Solution pairs to train machine learning models, such as for source code generation. A Question-Solution pair contains two parts: a programming question and its corresponding Solution Snippet. A Solution Snippet is a source code that solves a programming question. These datasets of Question-Solution pairs can be obtained from a number of different platforms. In this study, the information regarding the Question-Solution pairs was specifically obtained from Stack Overflow (SO). However, there are two limitations of datasets of Question-Solution pairs extracted from SO: (1) the Solution Snippets are partially correct and/or the Solution Snippet do not answer the questions, and (2) the information regarding the potential aspects of reusability of Solution Snippets is not available. These limitations can adversely affect the predictability of a machine learning model. Therefore, I conducted an empirical study to categorize various presentations of Solution Snippet in SO answers as well as how Solution Snippets can be adapted for reuse. By doing so, I identified eight categories of how Solution Snippets are presented in SO answers and five categories of how Solution Snippets could be adapted. Based on these results, I concluded several potential reasons why it is not always easy to create datasets of Question-Solution pairs. The first categorization informs that finding the correct location of the Solution Snippet is challenging when several code blocks are within the answer to the question. Subsequently, the researcher must identify which code within that code block is the Solution Snippet. The second categorization informs that most Solution Snippets appear challenging to be adapted for reuse, and how they are potentially adapted is not explicitly stated in them. These insights shed light on how to create better quality datasets in order to improve the predictability of machine learning models.<br>
DOI: 10.5281/zenodo.5816299
title: How solution snippets are presented in answers posted on Stack Overflow and how they could be potentially reused.

description: Software engineering Q&A websites (e.g., Stack Overflow), harness the collective expertise of users to address technical queries. Over time, these platforms evolve into valuable repositories of software engineering knowledge. Such repositories serve as essential resources for developers looking for solutions to common programming problems. In Stack Overflow, developers may approach answering questions in various ways. Gaining insight into how developers formulate their answers on Stack Overflow can enhance knowledge sharing and streamline the process of finding solutions. Furthermore, such insights could also inform improvements in Generative Artificial Intelligence (GenAI) tools to better align generated source code for comprehension and understandability, as AI-generated answers are known to include irrelevant information and hallucinations. In this study, we seek to deepen the understanding of how solutions are presented on Stack Overflow. We conducted an empirical study that investigates programming questions that are answered with a Solution Snippet to understand how a Solution Snippet is presented, and the ways how it should be adapted when it is reused. Our study resulted in two categorizations: 1) eight categories of how Solution Snippets are presented on Stack Overflow answers and 2) five categories of how Solution Snippets could be adapted for reuse. Then, we analyzed these categorizations and discussed the implications. We anticipate that Stack Overflow will remain a valuable resource for the foreseeable future, and the insights revealed in our paper lay the groundwork for improving program comprehension of Solution Snippets on Stack Overflow and GenAI tools.
DOI: 10.5281/zenodo.5816300
title: How solution snippets are presented in answers posted on Stack Overflow and how they could be potentially reused.

description: Researchers use datasets of Question-Solution pairs to train machine learning models, such as for source code generation. A Question-Solution pair contains two parts: a programming question and its corresponding Solution Snippet. A Solution Snippet is a source code that solves a programming question. These datasets of Question-Solution pairs can be obtained from a number of different platforms. In this study, the information regarding the Question-Solution pairs was specifically obtained from Stack Overflow (SO). However, there are two limitations of datasets of Question-Solution pairs extracted from SO: (1) the Solution Snippets are partially correct and/or the Solution Snippet do not answer the questions, and (2) the information regarding the potential aspects of reusability of Solution Snippets is not available. These limitations can adversely affect the predictability of a machine learning model. Therefore, I conducted an empirical study to categorize various presentations of Solution Snippet in SO answers as well as how Solution Snippets can be adapted for reuse. By doing so, I identified eight categories of how Solution Snippets are presented in SO answers and five categories of how Solution Snippets could be adapted. Based on these results, I concluded several potential reasons why it is not always easy to create datasets of Question-Solution pairs. The first categorization informs that finding the correct location of the Solution Snippet is challenging when several code blocks are within the answer to the question. Subsequently, the researcher must identify which code within that code block is the Solution Snippet. The second categorization informs that most Solution Snippets appear challenging to be adapted for reuse, and how they are potentially adapted is not explicitly stated in them. These insights shed light on how to create better quality datasets in order to improve the predictability of machine learning models.<br>
DOI: 10.5281/zenodo.5819318
title: How solution snippets are presented in answers posted on Stack Overflow and how they could be potentially reused.

description: Software engineering Q&A websites (e.g., Stack Overflow), harness the collective expertise of users to address technical queries. Over time, these platforms evolve into valuable repositories of software engineering knowledge. Such repositories serve as essential resources for developers looking for solutions to common programming problems. In Stack Overflow, developers may approach answering questions in various ways. Gaining insight into how developers formulate their answers on Stack Overflow can enhance knowledge sharing and streamline the process of finding solutions. Furthermore, such insights could also inform improvements in Generative Artificial Intelligence (GenAI) tools to better align generated source code for comprehension and understandability, as AI-generated answers are known to include irrelevant information and hallucinations. In this study, we seek to deepen the understanding of how solutions are presented on Stack Overflow. We conducted an empirical study that investigates programming questions that are answered with a Solution Snippet to understand how a Solution Snippet is presented, and the ways how it should be adapted when it is reused. Our study resulted in two categorizations: 1) eight categories of how Solution Snippets are presented on Stack Overflow answers and 2) five categories of how Solution Snippets could be adapted for reuse. Then, we analyzed these categorizations and discussed the implications. We anticipate that Stack Overflow will remain a valuable resource for the foreseeable future, and the insights revealed in our paper lay the groundwork for improving program comprehension of Solution Snippets on Stack Overflow and GenAI tools.
DOI: 10.15468/dl.rx7ajr
title: Occurrence Download

description: A dataset containing 11175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erinaceus europaeus Linnaeus, 1758",
 "Year is 2022",
 "Country is Netherlands"
 ]
}

 The dataset includes 11175 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025294-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/bwx81e
title: Science Library Trends at ARL Institutions

description: Data from a survey of librarians and count of science branch libraries at ARL institutions in 2017. Science branch libraries are also clustered into specific disciplines for historical comparison. The web page-based count of science libraries was updated in 2023, enabling a direct comparison to the 2017 data.
DOI: 10.5281/zenodo.14042253
title: YOSHLARNI VATANPARVARLIK RUXIDA TARBIYALASHNING PSIXOLOGIK MEXANIZMLARI

description: vatanparvarlik tushunchasining mazmuni, yoshlarni vatanparvarlik ruhida tarbiyalashning psixologik jihatlari, shaxsda fuqarolik pozitsiyasini tarkib toptirish, vatanparvarlik tarbiyasini amalga oshirish borasida amalga oshirilayotgan ilmiy tadqiqotlar xususida ma’lumotlar keltirilgan.
DOI: 10.5281/zenodo.14042254
title: YOSHLARNI VATANPARVARLIK RUXIDA TARBIYALASHNING PSIXOLOGIK MEXANIZMLARI

description: vatanparvarlik tushunchasining mazmuni, yoshlarni vatanparvarlik ruhida tarbiyalashning psixologik jihatlari, shaxsda fuqarolik pozitsiyasini tarkib toptirish, vatanparvarlik tarbiyasini amalga oshirish borasida amalga oshirilayotgan ilmiy tadqiqotlar xususida ma’lumotlar keltirilgan.
DOI: 10.15468/dl.3wkdgt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9009622","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025297-241024112534372/datasets/export for details.
DOI: 10.15468/dl.4xnbth
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9008536","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025296-241024112534372/datasets/export for details.
DOI: 10.15468/dl.5w3nr5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9012206","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025298-241024112534372/datasets/export for details.
DOI: 10.15468/dl.xwfger
title: Occurrence Download

description: A dataset containing 11809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Turdus iliacus Linnaeus, 1758",
 "Year is 2022",
 "Country is Netherlands"
 ]
}

 The dataset includes 11809 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025299-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpa6k6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9017571","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025300-241024112534372/datasets/export for details.
DOI: 10.15468/dl.2evd7f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9018164","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025301-241024112534372/datasets/export for details.
DOI: 10.15468/dl.p4k6ez
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9022342","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025302-241024112534372/datasets/export for details.
DOI: 10.15468/dl.ku8u5s
title: Occurrence Download

description: A dataset containing 11755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pipistrellus pipistrellus (Schreber, 1774)",
 "Year is 2022",
 "Country is Netherlands"
 ]
}

 The dataset includes 11755 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025303-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw9m9w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9022492","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025304-241024112534372/datasets/export for details.
DOI: 10.15468/dl.w9fj35
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9029371","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025306-241024112534372/datasets/export for details.
DOI: 10.15468/dl.cs5dyu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"9024674","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025305-241024112534372/datasets/export for details.