cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3899829
title: Physical Exercise in Patients with Subacute Stroke (PHYS-STROKE): safety analyses of six-month follow-up of a randomized clinical trial

description: This dataset supports the findings of the published article 'Physical Exercise in Patients with Subacute Stroke (PHYS-STROKE): safety analyses of six-month follow-up of a randomized clinical trial'. Data includes the raw data, and an analysis script for the main study outcomes.
DOI: 10.5519/qd.pahqg61r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (51 records)
DOI: 10.21227/9bh0-4p34
title: February-03-Dong-Jiawei

description: February-03-Dong-Jiawei
DOI: 10.5519/qd.pwdbfwfw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (21 records)
DOI: 10.5519/qd.rbqi84pg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.5519/qd.v5uxfn68
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (10 records)
DOI: 10.18430/m37m1y
title: X-ray diffraction data for the the crystal structure of Papain-Like Protease of SARS CoV-2, C111S mutant, in complex with ebselen (7M1Y)
DOI: 10.15468/pezdjk
title: Neotype Designation for the Australian Pig-footed Bandicoot Chaeropus ecaudatus Ogilby, 1838

description: This dataset contains the digitized treatments in Plazi based on the original journal article Travouillon, Kenny J., Parnaby, Harry, Ingleby, Sandy (2020): Neotype Designation for the Australian Pig-footed Bandicoot Chaeropus ecaudatus Ogilby, 1838. Records of the Australian Museum 72 (3): 77-80, DOI: 10.3853/j.2201-4349.72.2020.1761
DOI: 10.6084/m9.figshare.14347175
title: AOS FATOS ARQUIVO posts.xlsx

description: planilha de links analisados
DOI: 10.3886/e119446v76
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
DOI: 10.5281/zenodo.4653406
title: RESPOND Dataset - Refugee Protection

description: RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total <strong>539 interviews with refugees and asylum seekers</strong>, and more than <strong>210 interviews with stakeholders </strong>(state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects <strong>data derived out of 539 interviews </strong>conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Borders, Protection, Reception and Integration. This dataset is prepared as part of Work Package D3.5 (Dataset on refugee protection) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)
DOI: 10.5281/zenodo.4653405
title: RESPOND Dataset - Refugee Protection

description: RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total <strong>539 interviews with refugees and asylum seekers</strong>, and more than <strong>210 interviews with stakeholders </strong>(state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects <strong>data derived out of 539 interviews </strong>conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Borders, Protection, Reception and Integration. This dataset is prepared as part of Work Package D3.5 (Dataset on refugee protection) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)
DOI: 10.5281/zenodo.4653362
title: RESPOND Dataset - Border Management and Migration Control

description: RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total <strong>539 interviews with refugees and asylum seekers</strong>, and more than <strong>210 interviews with stakeholders </strong>(state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects <strong>data derived out of 539 interviews </strong>conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form This dataset is prepared as part of Work Package D2.6 (Dataset on border experiences) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)
DOI: 10.5281/zenodo.4653449
title: RESPOND Dataset – Reception

description: RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total <strong>539 interviews with refugees and asylum seekers</strong>, and more than <strong>210 interviews with stakeholders </strong>(state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects <strong>data derived out of 539 interviews </strong>conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Border, Protection, Reception and Integration. This dataset is prepared as part of Work Package D4.4 (Dataset on Reception) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)
DOI: 10.5281/zenodo.4653448
title: RESPOND Dataset – Reception

description: RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total <strong>539 interviews with refugees and asylum seekers</strong>, and more than <strong>210 interviews with stakeholders </strong>(state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects <strong>data derived out of 539 interviews </strong>conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Border, Protection, Reception and Integration. This dataset is prepared as part of Work Package D4.4 (Dataset on Reception) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)
DOI: 10.6084/m9.figshare.14035616
title: Histology samples and FRS data summary

description: Sup Table 1 describes the ALS cases and controls used in the histological stainings within the article by Månberg A. et al 2021. <br><br>Sup Table 2 describes the numbers of patients with ALSFRS data for each of the cohorts.<br><br>
DOI: 10.5281/zenodo.4653499
title: Sampling in Software Engineering Research Supplementary Material

description: Representative sampling appears rare in empirical software engineering research. Not all studies need representative samples, but a general lack of representative sampling undermines a scientific field. This article therefore reports a systematic review of the state of sampling in recent, high-quality software engineering research. The key findings are: (1) random sampling is rare; (2) sophisticated sampling strategies are very rare; (3) sampling, representativeness and randomness often appear misunderstood. These findings suggest that \textit{software engineering research has a generalizability crisis}. To address these problems, this paper synthesizes existing knowledge of sampling into a succinct primer and proposes extensive guidelines for improving the conduct, presentation and evaluation of sampling in software engineering research. It is further recommended that while researchers should strive for more representative samples, disparaging non-probability sampling is generally capricious and particularly misguided for predominately qualitative research.
DOI: 10.5281/zenodo.3666824
title: Sampling in Software Engineering Research Supplementary Material

description: Representative sampling appears rare in empirical software engineering research. Not all studies need representative samples, but a general lack of representative sampling undermines a scientific field. This article therefore reports a systematic review of the state of sampling in recent, high-quality software engineering research. The key findings are: (1) random sampling is rare; (2) sophisticated sampling strategies are very rare; (3) sampling, representativeness and randomness often appear misunderstood. These findings suggest that \textit{software engineering research has a generalizability crisis}. To address these problems, this paper synthesizes existing knowledge of sampling into a succinct primer and proposes extensive guidelines for improving the conduct, presentation and evaluation of sampling in software engineering research. It is further recommended that while researchers should strive for more representative samples, disparaging non-probability sampling is generally capricious and particularly misguided for predominately qualitative research.
DOI: 10.5281/zenodo.4653481
title: RESPOND Dataset - Integration

description: RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total 539 interviews with refugees and asylum seekers, and more than 210 interviews with stakeholders (state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects data derived out of 539 interviews conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Border, Protection, Reception and Integration. This dataset is prepared as part of Work Package D5.6 (Dataset on Integration) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)
DOI: 10.5281/zenodo.4653480
title: RESPOND Dataset - Integration

description: RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total 539 interviews with refugees and asylum seekers, and more than 210 interviews with stakeholders (state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects data derived out of 539 interviews conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Border, Protection, Reception and Integration. This dataset is prepared as part of Work Package D5.6 (Dataset on Integration) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)
DOI: 10.6084/m9.figshare.12885524.v3
title: Mass-Spec raw data

description: Mass-Spec of His-JAK2 IP