cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6893676
title: Twitter Conversations about the COVID-19 Omicron Variant: A Large Scale Dataset of more than 500,000 Tweets

description: <strong>Please cite the following paper when using this dataset:</strong> N. Thakur and C.Y. Han, “An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection,” Journal of COVID, 2022, Volume 5, Issue 3, pp. 1026-1049 <strong>Abstract</strong> This open-access dataset is one of the salient contributions of the above-mentioned paper. It presents a total of <strong>522,886</strong> Tweet IDs of the same number of <strong>Tweets about the SARS-CoV-2 Omicron Variant</strong> posted on Twitter since the first detected case of this variant on November 24, 2021. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management. <strong>Data Description</strong> The Tweet IDs are presented in 7 different .txt files based on the timelines of the associated tweets. The data collection followed a keyword-based approach and tweets comprising the "omicron" keyword were filtered, collected, and added to this dataset. The following is the description of these dataset files. Filename: TweetIDs_November.txt (No. of Tweet IDs: 16471, Date Range of the Tweet IDs: November 24, 2021 to November 30, 2021) Filename: TweetIDs_December.txt (No. of Tweet IDs: 99288, Date Range of the Tweet IDs: December 1, 2021 to December 31, 2021) Filename: TweetIDs_January.txt (No. of Tweet IDs: 92860, Date Range of the Tweet IDs: January 1, 2022 to January 31, 2022) Filename: TweetIDs_February.txt (No. of Tweet IDs: 89080, Date Range of the Tweet IDs: February 1, 2022 to February 28, 2022) Filename: TweetIDs_March.txt (No. of Tweet IDs: 97844, Date Range of the Tweet IDs: March 1, 2022 to March 31, 2022) Filename: TweetIDs_April.txt (No. of Tweet IDs: 91587, Date Range of the Tweet IDs: April 1, 2022 to April 20, 2022) Filename: TweetIDs_May.txt (No. of Tweet IDs: 35756, Date Range of the Tweet IDs: May 1, 2022 to May 12, 2022) In the above table, the last date for May is May 12 as it was the most recent date at the time of data collection and dataset upload. The dataset would be updated soon to incorporate more recent tweets. The dataset contains only Tweet IDs in compliance with the terms and conditions mentioned in the privacy policy, developer agreement, and guidelines for content redistribution of Twitter. The Tweet IDs need to be hydrated to be used. For hydrating this dataset the Hydrator application (link to download and a step-by-step tutorial on how to use Hydrator) may be used.
DOI: 10.5281/zenodo.6804322
title: Twitter Conversations about the COVID-19 Omicron Variant: A Large Scale Dataset of more than 500,000 Tweets

description: <strong>Please cite the following paper when using this dataset:</strong> N. Thakur and C.Y. Han, “An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection,” Journal of COVID, 2022, Volume 5, Issue 3, pp. 1026-1049 <strong>Abstract</strong> This open-access dataset is one of the salient contributions of the above-mentioned paper. It presents a total of <strong>522,886</strong> Tweet IDs of the same number of <strong>Tweets about the SARS-CoV-2 Omicron Variant</strong> posted on Twitter since the first detected case of this variant on November 24, 2021. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management. <strong>Data Description</strong> The Tweet IDs are presented in 7 different .txt files based on the timelines of the associated tweets. The data collection followed a keyword-based approach and tweets comprising the "omicron" keyword were filtered, collected, and added to this dataset. The following is the description of these dataset files. Filename: TweetIDs_November.txt (No. of Tweet IDs: 16471, Date Range of the Tweet IDs: November 24, 2021 to November 30, 2021) Filename: TweetIDs_December.txt (No. of Tweet IDs: 99288, Date Range of the Tweet IDs: December 1, 2021 to December 31, 2021) Filename: TweetIDs_January.txt (No. of Tweet IDs: 92860, Date Range of the Tweet IDs: January 1, 2022 to January 31, 2022) Filename: TweetIDs_February.txt (No. of Tweet IDs: 89080, Date Range of the Tweet IDs: February 1, 2022 to February 28, 2022) Filename: TweetIDs_March.txt (No. of Tweet IDs: 97844, Date Range of the Tweet IDs: March 1, 2022 to March 31, 2022) Filename: TweetIDs_April.txt (No. of Tweet IDs: 91587, Date Range of the Tweet IDs: April 1, 2022 to April 20, 2022) Filename: TweetIDs_May.txt (No. of Tweet IDs: 35756, Date Range of the Tweet IDs: May 1, 2022 to May 12, 2022) In the above table, the last date for May is May 12 as it was the most recent date at the time of data collection and dataset upload. The dataset would be updated soon to incorporate more recent tweets. The dataset contains only Tweet IDs in compliance with the terms and conditions mentioned in the privacy policy, developer agreement, and guidelines for content redistribution of Twitter. The Tweet IDs need to be hydrated to be used. For hydrating this dataset the Hydrator application (link to download and a step-by-step tutorial on how to use Hydrator) may be used.
DOI: 10.3886/icpsr38467.v1
title: Subsidized and Transitional Employment Demonstration (STED), New York City, New York, 2013-2018
title: Version 1

description: MDRC conducted a random assignment evaluation of the Young Adult Internship Program (YAIP), a subsidized employment program for young people in New York City who have become disconnected from school and work. This program was one of several evaluated as part of the Subsidized and Transitional Employment Demonstration (STED) project. Operated by various provider agencies, YAIP offers disconnected young people between the ages of 16 and 24 a temporary paid internship, as well as various support services. MDRC conducted a random assignment evaluation of YAIP to determine whether the program makes a difference in the lives of the young people it serves. The evaluation included an implementation study, an impact study, and a cost analysis. These data are a Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped for release, but not checked or processed.
description: The purpose of this study was to assess whether the Young Adult Internship Program (YAIP) improved participants' short- and long-term employment and earnings and affect other key outcomes.
description: From July 2013 to March 2014, program staff assigned nearly 2,700 young people at random to either a program group, which was offered Young Adult Internship Program (YAIP) services, or to a control group, which was not offered those services. The YAIP evaluation measured outcomes for both groups over time to assess whether YAIP services led to better outcomes for the program group compared with those of the control group.
description: Datasets: DS1: Subsidized and Transitional Employment Demonstration (STED), New York City, New York, 2013-2018
description: Young people ages 16 to 24 in New York City who have become disconnected from school and work.
description: on-site questionnaireFor additional information, users can visit the MDRC website.
DOI: 10.3886/icpsr38467
title: Subsidized and Transitional Employment Demonstration (STED), New York City, New York, 2013-2018
title: Archival Version

description: MDRC conducted a random assignment evaluation of the Young Adult Internship Program (YAIP), a subsidized employment program for young people in New York City who have become disconnected from school and work. This program was one of several evaluated as part of the Subsidized and Transitional Employment Demonstration (STED) project. Operated by various provider agencies, YAIP offers disconnected young people between the ages of 16 and 24 a temporary paid internship, as well as various support services. MDRC conducted a random assignment evaluation of YAIP to determine whether the program makes a difference in the lives of the young people it serves. The evaluation included an implementation study, an impact study, and a cost analysis. These data are a Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped for release, but not checked or processed.
description: The purpose of this study was to assess whether the Young Adult Internship Program (YAIP) improved participants' short- and long-term employment and earnings and affect other key outcomes.
description: From July 2013 to March 2014, program staff assigned nearly 2,700 young people at random to either a program group, which was offered Young Adult Internship Program (YAIP) services, or to a control group, which was not offered those services. The YAIP evaluation measured outcomes for both groups over time to assess whether YAIP services led to better outcomes for the program group compared with those of the control group.
description: Datasets: DS1: Subsidized and Transitional Employment Demonstration (STED), New York City, New York, 2013-2018
description: Young people ages 16 to 24 in New York City who have become disconnected from school and work.
description: on-site questionnaireFor additional information, users can visit the MDRC website.
DOI: 10.25646/9792
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.17028/rd.lboro.20368098
title: Suplementary information files for Projection in the face of centrism: voter inferences about candidates’ party affiliation in low-information context

description: Supplementary information files for article Projection in the face of centrism: voter inferences about candidates’ party affiliation in low-information contexts <br> When are voters more likely to project their own political position onto a candidate for office? We investigate this question by examining the assumed partisanship of a (self-declared) centrist politician, using data from an original survey experiment fielded in Canada, the UK, and the US. In doing so, we build on the Social Categorization Model as well as recent US-focussed political science research on projection and in-group/out-group racial divides – extending our analysis to incorporate racial and class similarities/differences across three countries where these divides likely vary in salience. We thus seek to: (1) contribute to research on the inferences citizens draw in nonpartisan elections and low-information contexts generally; and (2) highlight some potential methodological complications of using partisanship-less candidates in vignette experiments. Results suggest that even in the face of a self-declared centrist, voters from across the political spectrum tended to assume shared partisanship in Canada, the UK, and the US. Examining projection by in-group/out-group divisions indicated that class appears to shape projection across all three countries, but that the racial divide only mattered in the US. Finally, we also find evidence of counterprojection toward out-group members – but once again only in the American context.
DOI: 10.17028/rd.lboro.20368098.v1
title: Suplementary information files for Projection in the face of centrism: voter inferences about candidates’ party affiliation in low-information context

description: Supplementary information files for article Projection in the face of centrism: voter inferences about candidates’ party affiliation in low-information contexts <br> When are voters more likely to project their own political position onto a candidate for office? We investigate this question by examining the assumed partisanship of a (self-declared) centrist politician, using data from an original survey experiment fielded in Canada, the UK, and the US. In doing so, we build on the Social Categorization Model as well as recent US-focussed political science research on projection and in-group/out-group racial divides – extending our analysis to incorporate racial and class similarities/differences across three countries where these divides likely vary in salience. We thus seek to: (1) contribute to research on the inferences citizens draw in nonpartisan elections and low-information contexts generally; and (2) highlight some potential methodological complications of using partisanship-less candidates in vignette experiments. Results suggest that even in the face of a self-declared centrist, voters from across the political spectrum tended to assume shared partisanship in Canada, the UK, and the US. Examining projection by in-group/out-group divisions indicated that class appears to shape projection across all three countries, but that the racial divide only mattered in the US. Finally, we also find evidence of counterprojection toward out-group members – but once again only in the American context.
DOI: 10.25646/9785
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.3886/icpsr38468.v1
title: Subsidized and Transitional Employment Demonstration (STED), Chicago, Illinois, 2015-2019
title: Version 1

description: The Bridges to Pathways (Bridges) program was a violence prevention program in Chicago serving young men between the ages of 17 and 21 years old who were involved with the criminal or juvenile justice system and lacked a high school credential. This program was one of several evaluated as part of the Subsidized and Transitional Employment Demonstration (STED) project. The Bridges program was launched in 2013, and aimed to improve the outcomes of young adults at high risk of violence. The program was developed by the Chicago Department of Family and Support Services (DFSS) and operated by two community-based organizations: Central States SER and SGA Youth and Family Services. The six-month program included four components: academic enrichment, social-emotional learning, workforce readiness, and intensive mentoring and case management. These data are a Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped for release, but not checked or processed.
description: The purpose of this study was to evaluate whether the Bridges to Pathways (Bridges) program improved the outcomes of young adults at high risk of violence.
description: The Bridges to Pathways (Bridges) program evaluation enrolled 480 young people between June 2015 and July 2016. The evaluation included an implementation study and small-scale randomized controlled trial, designed to provide preliminary information on the model's promise. The program group (n=289) participated in the Bridges multifaceted services program, while the control group (n=191) was eligible for the services usually available to them. The six-month program included four components: academic enrichment, social-emotional learning, workforce readiness, and intensive mentoring and case management.
description: Datasets: DS1: Subsidized and Transitional Employment Demonstration (STED), Chicago, Illinois, 2015-2019
description: Young men between the ages of 17 and 21 years old who were involved with the criminal or juvenile justice system and lacked a high school credential.
description: on-site questionnaireFor additional information, users can visit the MDRC website.
DOI: 10.3886/icpsr38468
title: Subsidized and Transitional Employment Demonstration (STED), Chicago, Illinois, 2015-2019
title: Archival Version

description: The Bridges to Pathways (Bridges) program was a violence prevention program in Chicago serving young men between the ages of 17 and 21 years old who were involved with the criminal or juvenile justice system and lacked a high school credential. This program was one of several evaluated as part of the Subsidized and Transitional Employment Demonstration (STED) project. The Bridges program was launched in 2013, and aimed to improve the outcomes of young adults at high risk of violence. The program was developed by the Chicago Department of Family and Support Services (DFSS) and operated by two community-based organizations: Central States SER and SGA Youth and Family Services. The six-month program included four components: academic enrichment, social-emotional learning, workforce readiness, and intensive mentoring and case management. These data are a Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped for release, but not checked or processed.
description: The purpose of this study was to evaluate whether the Bridges to Pathways (Bridges) program improved the outcomes of young adults at high risk of violence.
description: The Bridges to Pathways (Bridges) program evaluation enrolled 480 young people between June 2015 and July 2016. The evaluation included an implementation study and small-scale randomized controlled trial, designed to provide preliminary information on the model's promise. The program group (n=289) participated in the Bridges multifaceted services program, while the control group (n=191) was eligible for the services usually available to them. The six-month program included four components: academic enrichment, social-emotional learning, workforce readiness, and intensive mentoring and case management.
description: Datasets: DS1: Subsidized and Transitional Employment Demonstration (STED), Chicago, Illinois, 2015-2019
description: Young men between the ages of 17 and 21 years old who were involved with the criminal or juvenile justice system and lacked a high school credential.
description: on-site questionnaireFor additional information, users can visit the MDRC website.
DOI: 10.25646/9868
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/10020
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/9998
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.34740/kaggle/dsv/3984419
title: Donkeys, Horses & Zebra Images Dataset
DOI: 10.6084/m9.figshare.19983203
title: Did Exposure to Asylum Seeking Migration Affect the Electoral Outcome of the “Alternative für Deutschland” in Berlin? Evidence from the 2019 European Elections.

description: For citation, please refer to this work: <br> <strong>Did Exposure to Asylum Seeking Migration Affect the Electoral Outcome of the “Alternative für Deutschland” in Berlin? Evidence from the 2019 European</strong> <strong>Elections.</strong> <br> <strong>Authors: </strong>A. Pettrachin, L. Gabrielli, J. Kim, S. Ludwig-Dehm, S. Pötzschke <br> https://doi.org/10.1080/1369183X.2022.2100543 <br> This dataset was collected as part of this work. It contains location information of reception facilities of asylum-seekers in Berlin. It also contains other information such as number of individuals that a reception facility can host, and housing type. <br> <br> <br>
DOI: 10.6084/m9.figshare.20241999
title: RADONIO.docx

description: Thus, we submit to your appreciation the work “Evaluation of indoor radon gas levels in three Brazilian municipalities” located in the state of Minas Gerais. The journal was chosen because it is recognized as a journal of excellence and extremely representative in the field of public health.
DOI: 10.6084/m9.figshare.20241999.v1
title: RADONIO.docx

description: Thus, we submit to your appreciation the work “Evaluation of indoor radon gas levels in three Brazilian municipalities” located in the state of Minas Gerais. The journal was chosen because it is recognized as a journal of excellence and extremely representative in the field of public health.