cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25392/leicester.data.19854904
title: CIC Datasets: Demographics

description: The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. The Covid in Cartoons team worked with schools around England. Demographic information about these schools can be found here.
DOI: 10.25392/leicester.data.19854904.v1
title: CIC Datasets: Demographics

description: The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. The Covid in Cartoons team worked with schools around England. Demographic information about these schools can be found here.
DOI: 10.25392/leicester.data.19886647
title: CIC Datasets: Focus Group Transcripts

description: The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. The Covid in Cartoons team carried out focus groups with participants using a 'call and response' approach. Anonymised transcripts can be found here. <br>
DOI: 10.25392/leicester.data.19886707
title: CIC Datasets: Workbooks

description: The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. These workbooks comprise Covid in Cartoon participants' reflections as they progressed through the minicourse, focusing on: i) introducing political cartoons, ii) reflecting on the pandemic through cartoons, iii) heroes, inequalities and human rights, and iv) live drawing with a professional cartoonist. Many used a workbook co-produced with SOUK and Cartooning for Peace to help structure their reflections. <br>
DOI: 10.25392/leicester.data.19886734
title: CIC Datasets: Student Surveys

description: The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. Covid in Cartoons participants completed surveys before and after completing the minicourse focused on meaning making through political cartooning during the pandemic. Anonymised data can be accessed here. <br>
DOI: 10.25392/leicester.data.19886734.v1
title: CIC Datasets: Student Surveys

description: The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. Covid in Cartoons participants completed surveys before and after completing the minicourse focused on meaning making through political cartooning during the pandemic. Anonymised data can be accessed here. <br>
DOI: 10.25392/leicester.data.20036606
title: PCC Dataset: Africartoons Project Cartoons

description: The Political Cartooning and Peace-Building project was funded by the GCRF (Research England) in 2020/2021, working with partners in South Africa, Kenya and Ivory Coast. The goal of the project was to explore the use of political cartooning as a tool for addressing conflict and building peace with marginalised young people living in challenging circumstances. These images were during a mentored political cartooning competition led by Africartoons in 2021. <br>
DOI: 10.25392/leicester.data.20036606.v1
title: PCC Dataset: Africartoons Project Cartoons

description: The Political Cartooning and Peace-Building project was funded by the GCRF (Research England) in 2020/2021, working with partners in South Africa, Kenya and Ivory Coast. The goal of the project was to explore the use of political cartooning as a tool for addressing conflict and building peace with marginalised young people living in challenging circumstances. These images were during a mentored political cartooning competition led by Africartoons in 2021. <br>
DOI: 10.25392/leicester.data.20036621.v1
title: PCC Dataset: KwaZulu Natal Project Cartoons

description: The Political Cartooning and Peace-Building project was funded by the GCRF (Research England) in 2020/2021, working with partners in South Africa, Kenya and Ivory Coast. The goal of the project was to explore the use of political cartooning as a tool for addressing conflict and building peace with marginalised young people living in challenging circumstances. These images were produced by workshop participants in Durban, South Africa, 2021. The workshop was led by Dr Ingrid Bamberg, University of KwaZulu-Natal.
DOI: 10.25392/leicester.data.20036621
title: PCC Dataset: KwaZulu Natal Project Cartoons

description: The Political Cartooning and Peace-Building project was funded by the GCRF (Research England) in 2020/2021, working with partners in South Africa, Kenya and Ivory Coast. The goal of the project was to explore the use of political cartooning as a tool for addressing conflict and building peace with marginalised young people living in challenging circumstances. These images were produced by workshop participants in Durban, South Africa, 2021. The workshop was led by Dr Ingrid Bamberg, University of KwaZulu-Natal.
DOI: 10.6084/m9.figshare.14236850
title: Influence of body shape primes on food liking (Raw data)

description: Here we have deposited the raw data of each participant (N=42) teasted with an affective priming experiment, in which we evaluate wheter the shape fo a body used as prime, influenced food liking evaluation. <br> In the column "Prime" there are the 4 prime conditions: the underweight silhouette (indicated by the "XS" within the string) the a normal weight (indicated by the "M" within the string), the overweight (indicated by the "XL" within the string) and the control prime, namley the scrabled version of the primes (indicated by "SCR" within the string). On the column "Food" there are the targets, divided in natural food ("NF" within the string) and transformed food ("TF" within the string). <br> On the columns "Healthiness.RESP", "Calorie.RESP" and "Liking.RESP" are reported our dependent variables, namely the response given by participants after vieweing the prime-target sequence. The questions were “How much do you like the product?” (ranged from 1 "not at all" to 9 "very much"), “How healthy do you think this product is?” (ranged from 1 "not healthy at all" to 9 "very healthy") and “How many calories do you think this product contains?” (ranged from 1 "very few calories" to 9 "many calories") showed in randomized order for each participant. Response were given on a 9-point Likert scale with the keyboard.<br> <br>
DOI: 10.6084/m9.figshare.14236850.v1
title: Influence of body shape primes on food liking (Raw data)

description: Here we have deposited the raw data of each participant (N=42) teasted with an affective priming experiment, in which we evaluate wheter the shape fo a body used as prime, influenced food liking evaluation. <br> In the column "Prime" there are the 4 prime conditions: the underweight silhouette (indicated by the "XS" within the string) the a normal weight (indicated by the "M" within the string), the overweight (indicated by the "XL" within the string) and the control prime, namley the scrabled version of the primes (indicated by "SCR" within the string). On the column "Food" there are the targets, divided in natural food ("NF" within the string) and transformed food ("TF" within the string). <br> On the columns "Healthiness.RESP", "Calorie.RESP" and "Liking.RESP" are reported our dependent variables, namely the response given by participants after vieweing the prime-target sequence. The questions were “How much do you like the product?” (ranged from 1 "not at all" to 9 "very much"), “How healthy do you think this product is?” (ranged from 1 "not healthy at all" to 9 "very healthy") and “How many calories do you think this product contains?” (ranged from 1 "very few calories" to 9 "many calories") showed in randomized order for each participant. Response were given on a 9-point Likert scale with the keyboard.<br> <br>
DOI: 10.25392/leicester.data.20036627
title: PCC Dataset: Nairobi Project Cartoons

description: The Political Cartooning and Peace-Building project was funded by the GCRF (Research England) in 2020/2021, working with partners in South Africa, Kenya and Ivory Coast. The goal of the project was to explore the use of political cartooning as a tool for addressing conflict and building peace with marginalised young people living in challenging circumstances. These images were produced by workshop participants in Nairobi, Kenya, 2021. The workshop was led by Dr Betty Karimi Mwiti, University of Nairobi. <br>
DOI: 10.25392/leicester.data.20036627.v1
title: PCC Dataset: Nairobi Project Cartoons

description: The Political Cartooning and Peace-Building project was funded by the GCRF (Research England) in 2020/2021, working with partners in South Africa, Kenya and Ivory Coast. The goal of the project was to explore the use of political cartooning as a tool for addressing conflict and building peace with marginalised young people living in challenging circumstances. These images were produced by workshop participants in Nairobi, Kenya, 2021. The workshop was led by Dr Betty Karimi Mwiti, University of Nairobi. <br>
DOI: 10.25392/leicester.data.20036633
title: PCC Dataset: Tache D'encre Project Cartoons

description: The Political Cartooning and Peace-Building project was funded by the GCRF (Research England) in 2020/2021, working with partners in South Africa, Kenya and Ivory Coast. The goal of the project was to explore the use of political cartooning as a tool for addressing conflict and building peace with marginalised young people living in challenging circumstances. These images were produced by workshop participants in Ivory Coast, 2021. The workshop was led by Tache d'Encre. <br>
DOI: 10.25392/leicester.data.20036633.v1
title: PCC Dataset: Tache D'encre Project Cartoons

description: The Political Cartooning and Peace-Building project was funded by the GCRF (Research England) in 2020/2021, working with partners in South Africa, Kenya and Ivory Coast. The goal of the project was to explore the use of political cartooning as a tool for addressing conflict and building peace with marginalised young people living in challenging circumstances. These images were produced by workshop participants in Ivory Coast, 2021. The workshop was led by Tache d'Encre. <br>
DOI: 10.6084/m9.figshare.20227176
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 140)

description: There are 17 files in this dataset. This is the 140th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20227176.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 140)

description: There are 17 files in this dataset. This is the 140th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.25392/leicester.data.19886854
title: CIC Dataset: Student Cartoons

description: The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. Covid in Cartoons participants produced many drawings as they progressed through the minicourse, focusing on: i) introducing political cartoons, ii) reflecting on the pandemic through cartoons, iii) heroes, inequalities and human rights, and iv) live drawing with a professional cartoonist.
DOI: 10.25392/leicester.data.19886854.v1
title: CIC Dataset: Student Cartoons

description: The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. Covid in Cartoons participants produced many drawings as they progressed through the minicourse, focusing on: i) introducing political cartoons, ii) reflecting on the pandemic through cartoons, iii) heroes, inequalities and human rights, and iv) live drawing with a professional cartoonist.
DOI: 10.6084/m9.figshare.20227365
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 142)

description: There are 17 files in this dataset. This is the 142nd part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20227365.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 142)

description: There are 17 files in this dataset. This is the 142nd part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20227368
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 143)

description: There are 17 files in this dataset. This is the 143rd part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.