49 research outputs found
Interview Catriona Macmillan: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia.
No full text
GENERAL INFORMATION
1. Title of Dataset: Interview Catriona Macmillan: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
2. Participant Name: Catriona Macmillan
3. Consent for Open-Access Data Repository: No- under embargo
4. Author Information
A. Principal Investigator Contact Information
Name: SARINA JOAN KILHAM
ORCID: 0000-0001-5234-2764
Institution: CHARLES STURT UNIVERSITY, WAGGA WAGGA, AUSTRALIA
Address:
Email: [email protected]
5. Date of data collection (single date, range, approximate date): 2022-2023
6. Geographic location of data collection : Sydney, Australia
7. Information about funding sources that supported the collection of the data:
City of Sydney Knowledge Exchange Sponsorship [2021/159649 / KEX 202122041]
The Australian Sociological Association: Gary Bouma Memorial Workshop Program 2022
8. Human Research Ethics Protocol: Charles Sturt University Human Research Ethics Committee Protocol Approval: H21466
9. Description/Abstract: This research project will pilot and adapt a holistic mapping methodology called URBAL (Urban-Driven Innovations for Sustainable Food Systems) to examine urban food system sustainability innovation in the City of Sydney LGA. The research findings will give policy-makers and community led organisations (CLOs) a shared view and understanding of ‘what food systems innovations work’ and ‘why they work’. The results will be used by local governments, NGOs and food-based CLOs to inform, support and develop future food policy and sustainable food projects. This is interdisciplinary research that primarily uses contemporary social science approaches.
10. Subject: Social Sciences
11. Australian and New Zealand Standard Research Classification (ANZSRC) Field of Research Code: 160804
12. Australian and New Zealand Standard Research Classification (ANZSRC) Socio-economic Objective (SEO) Code: 960799
13. Keywords: food governance, innovation, urban food systems, social innovation,
14. Contributor Information
A. Research Associate
Name: TANIA LEIMBACH
ORCID: 0000-0002-8144-5065
Email: [email protected]
B. Research Associate
Name: TANJA ROSENQVIST
ORCID: 0000-0003-3899-6694
Email: [email protected]
15: Type of Data: qualitative, interview transcripts, audio interviews
16: Format of Data: text READme file , .mp3 audio files , .rtf transcripts
17: Software: MSOffice 365 Education version 16.57, 2021. Descript Audio App. Zoom Meeting app. Rode Reporter Audio Recording App.
18: Version: Version 1. First Release
19: Terms and conditions of use: Creative Commons Attribution Non Commercial CC BY-NC
SHARING/ACCESS INFORMATION
1. Licenses/restrictions placed on the data: Yes
2. Links to publications that cite or use the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
3. Links to other publicly accessible locations of the data:
https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
4. Links/relationships to ancillary data sets: Yes. Additional Datasets are available in the fig share link.
5. Was data derived from another source? No
A. If yes, list source(s):
6. Recommended citation for this dataset: Kilham, Sarina (2023). Interview Catriona Macmillan: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia.. figshare. Dataset. https://doi.org/10.6084/m9.figshare.23298512
METHODOLOGICAL INFORMATION
1. Description of methods used for collection/generation of data:
Semi-structured interviews. Data was created through interviews with participants in Australian English. Interviews were audio recorded on iPhone 8 with rode microphone.
2. Consent: Each participant was provided a Participant Information Form and a consent form. Participants were asked explicitly asked about inclusion of their material in the open- access databank and provided informed consent.
3. Ownership and Access: R01-Sarina Kilham. Open-Access Data Archive- Creative Commons Attribution Non Commercial CC BY-NC
4. Collection Mode: Audio recorded semi-structured interview. Interviews conducted in person or via online meeting software.
5. Sampling Method: purposeful sampling via open invitation to community of practitioners.
6. Methods for processing the data: Interviews were recorded in multiple audio-files to prevent data loss by stopping and re-starting the audio recorder. Audio files were combined in the software "Descript" and exported as a single audio file. The single audio file was transcribed by AI-Tool in the software "Descript" and checked by a human for accuracy. Transcripts were sent to participants to for accuracy checking, and the version included here incorporates any amendments or rectifications from the participants.
7. Instrument- or software-specific information needed to interpret the data:
Software: Descript. Used for AI-transcriptions and combining multiple audio files into single file.
8. Standards and calibration information, if appropriate: n/a
9. Environmental/experimental conditions: n/a
10. Describe any quality-assurance procedures performed on the data:
Sarina Kilham checked all transcriptions against the original audio for accuracy.
Participants were sent transcriptions for checking.
11. People involved with sample collection, processing, analysis and/or submission: R01-SARINA KILHAM
DATA & FILE OVERVIEW
1. File List:
001-interviewaudio_p01_catrionamacmillan_v01.mp3: single audio file of interview
001-interviewtranscript_p01_catrionamacmillan_v01.txt : transcript of audio
Readme.txt: metadata, license and file data.
2. Relationship between files, if important: Dataset files can be used individually or as a dataset collection.
3. Additional related data collected that was not included in the current data package: No
4. Are there multiple versions of the dataset? No
--
DATA-SPECIFIC INFORMATION FOR: 001-interviewtranscript_p01_catrionamacmillan_v01.txt
1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6: Kind: text format
7: word count: 12,889
DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_catrionamacmillan_v01.mp3
1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6. Duration: 1 hour 31 minutes
7. Audio channels: mono
8. Sample rate: 44.1kHz
9. Kind: mp3 audio
CITATION TOPICS
Web of Science Macro Level Citation topic: Social Sciences
Web of Science Meso label:
6.86 Human Geography
6.153 Climate Change
6.153 Climate Change
6.153 Climate Change
6.263 Agricultural Policy
6.263 Agricultural Policy
6.303 Sociology
6.303 Sociology
Web of Science Micro label:
6.86.149 Gentrification
6.153.558 Climate Change Adaptation
6.153.742 Science Communication
6.153.2227 Strategic Environmental Assessment
6.263.898 Farmers
6.263.1407 Urban Agriculture
6.303.1915 Public Sociology
6.303.2393 Social Policies
--END---
</p
Interview Cristiana Nascimento: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
No full textGENERAL INFORMATION
1. Title of Dataset: Interview Cristiana Nascimento: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
2. Participant Name: Cristiana Nascimento
3. Consent for Open-Access Data Repository:Yes
4. Author Information
A. Principal Investigator Contact Information
Name: SARINA JOAN KILHAM
ORCID: 0000-0001-5234-2764
Institution: CHARLES STURT UNIVERSITY, WAGGA WAGGA, AUSTRALIA
Address:
Email: [email protected]
5. Date of data collection (single date, range, approximate date): 2022-2023
6. Geographic location of data collection : Sydney, Australia
7. Information about funding sources that supported the collection of the data:
City of Sydney Knowledge Exchange Sponsorship [2021/159649 / KEX 202122041]
The Australian Sociological Association: Gary Bouma Memorial Workshop Program 2022
8. Human Research Ethics Protocol: Charles Sturt University Human Research Ethics Committee Protocol Approval: H21466
9. Description/Abstract: This research project will pilot and adapt a holistic mapping methodology called URBAL (Urban-Driven Innovations for Sustainable Food Systems) to examine urban food system sustainability innovation in the City of Sydney LGA. The research findings will give policy-makers and community led organisations (CLOs) a shared view and understanding of ‘what food systems innovations work’ and ‘why they work’. The results will be used by local governments, NGOs and food-based CLOs to inform, support and develop future food policy and sustainable food projects. This is interdisciplinary research that primarily uses contemporary social science approaches.
10. Subject: Social Sciences
11. Australian and New Zealand Standard Research Classification (ANZSRC) Field of Research Code: 160804
12. Australian and New Zealand Standard Research Classification (ANZSRC) Socio-economic Objective (SEO) Code: 960799
13. Keywords: food governance, innovation, urban food systems, social innovation,
14. Contributor Information
A. Research Associate
Name: TANIA LEIMBACH
ORCID: 0000-0002-8144-5065
Email: [email protected]
B. Research Associate
Name: TANJA ROSENQVIST
ORCID: 0000-0003-3899-6694
Email: [email protected]
15: Type of Data: qualitative, interview transcripts, audio interviews
16: Format of Data: text READme file , .mp3 audio files , .rtf transcripts
17: Software: MSOffice 365 Education version 16.57, 2021. Descript Audio App. Zoom Meeting app. Rode Reporter Audio Recording App.
18: Version: Version 1. First Release
19: Terms and conditions of use: Creative Commons Attribution Non Commercial CC BY-NC
SHARING/ACCESS INFORMATION
1. Licenses/restrictions placed on the data: Yes
2. Links to publications that cite or use the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
3. Links to other publicly accessible locations of the data:
https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
4. Links/relationships to ancillary data sets: Yes. Additional Datasets are available in the fig share link.
5. Was data derived from another source? No
A. If yes, list source(s):
6. Recommended citation for this dataset: Kilham, Sarina (2023). Interview Cristiana Nascimento: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia.
METHODOLOGICAL INFORMATION
1. Description of methods used for collection/generation of data:
Semi-structured interviews. Data was created through interviews with participants in Australian English. Interviews were audio recorded on iPhone 8 with rode microphone.
2. Consent: Each participant was provided a Participant Information Form and a consent form. Participants were asked explicitly asked about inclusion of their material in the open- access databank and provided informed consent.
3. Ownership and Access: R01-Sarina Kilham. Open-Access Data Archive- Creative Commons Attribution Non Commercial CC BY-NC
4. Collection Mode: Audio recorded semi-structured interview. Interviews conducted in person or via online meeting software.
5. Sampling Method: purposeful sampling via open invitation to community of practitioners.
6. Methods for processing the data: Interviews were recorded in multiple audio-files to prevent data loss by stopping and re-starting the audio recorder. Audio files were combined in the software "Descript" and exported as a single audio file. The single audio file was transcribed by AI-Tool in the software "Descript" and checked by a human for accuracy. Transcripts were sent to participants to for accuracy checking, and the version included here incorporates any amendments or rectifications from the participants.
7. Instrument- or software-specific information needed to interpret the data:
Software: Descript. Used for AI-transcriptions and combining multiple audio files into single file.
8. Standards and calibration information, if appropriate: n/a
9. Environmental/experimental conditions: n/a
10. Describe any quality-assurance procedures performed on the data:
Sarina Kilham checked all transcriptions against the original audio for accuracy.
Participants were sent transcriptions for checking.
11. People involved with sample collection, processing, analysis and/or submission: R01-SARINA KILHAM
DATA & FILE OVERVIEW
1. File List:
001-interviewaudio_p01_cristiananascimento_v01.mp3: single audio file of interview
001-interviewtranscript_p01_cristiananascimento_v01.txt : transcript of audio
Readme.txt: metadata, license and file data.
2. Relationship between files, if important: Dataset files can be used individually or as a dataset collection.
3. Additional related data collected that was not included in the current data package: No
4. Are there multiple versions of the dataset? No
--
DATA-SPECIFIC INFORMATION FOR: 002-interviewtranscript_p02_cristiananascimento_v01.txt
1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6: Kind: text format
7: word count: 8,600
DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_cristiananascimento_v01.mp3
1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6. Duration: 53 minutes
7. Audio channels: mono
8. Sample rate: 44.1kHz
9. Kind: mp3 audio
CITATION TOPICS
Web of Science Macro Level Citation topic: Social Sciences
Web of Science Meso label:
6.86 Human Geography
6.153 Climate Change
6.153 Climate Change
6.153 Climate Change
6.263 Agricultural Policy
6.263 Agricultural Policy
6.303 Sociology
6.303 Sociology
Web of Science Micro label:
6.86.149 Gentrification
6.153.558 Climate Change Adaptation
6.153.742 Science Communication
6.153.2227 Strategic Environmental Assessment
6.263.898 Farmers
6.263.1407 Urban Agriculture
6.303.1915 Public Sociology
6.303.2393 Social Policies
--END---
</p
Interview Margaret Sevenjhazi: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
No full textGENERAL INFORMATION
1. Title of Dataset: Interview Margaret Sevenjhazi: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
2. Participant Name: Margaret Sevenjhazi
3. Consent for Open-Access Data Repository:Yes
4. Author Information
A. Principal Investigator Contact Information
Name: SARINA JOAN KILHAM
ORCID: 0000-0001-5234-2764
Institution: CHARLES STURT UNIVERSITY, WAGGA WAGGA, AUSTRALIA
Address:
Email: [email protected]
5. Date of data collection (single date, range, approximate date): 2022-2023
6. Geographic location of data collection : Sydney, Australia
7. Information about funding sources that supported the collection of the data:
City of Sydney Knowledge Exchange Sponsorship [2021/159649 / KEX 202122041]
The Australian Sociological Association: Gary Bouma Memorial Workshop Program 2022
8. Human Research Ethics Protocol: Charles Sturt University Human Research Ethics Committee Protocol Approval: H21466
9. Description/Abstract: This research project will pilot and adapt a holistic mapping methodology called URBAL (Urban-Driven Innovations for Sustainable Food Systems) to examine urban food system sustainability innovation in the City of Sydney LGA. The research findings will give policy-makers and community led organisations (CLOs) a shared view and understanding of ‘what food systems innovations work’ and ‘why they work’. The results will be used by local governments, NGOs and food-based CLOs to inform, support and develop future food policy and sustainable food projects. This is interdisciplinary research that primarily uses contemporary social science approaches.
10. Subject: Social Sciences
11. Australian and New Zealand Standard Research Classification (ANZSRC) Field of Research Code: 160804
12. Australian and New Zealand Standard Research Classification (ANZSRC) Socio-economic Objective (SEO) Code: 960799
13. Keywords: food governance, innovation, urban food systems, social innovation,
14. Contributor Information
A. Research Associate
Name: TANIA LEIMBACH
ORCID: 0000-0002-8144-5065
Email: [email protected]
B. Research Associate
Name: TANJA ROSENQVIST
ORCID: 0000-0003-3899-6694
Email: [email protected]
15: Type of Data: qualitative, interview transcripts, audio interviews
16: Format of Data: text READme file , .mp3 audio files , .rtf transcripts
17: Software: MSOffice 365 Education version 16.57, 2021. Descript Audio App. Zoom Meeting app. Rode Reporter Audio Recording App.
18: Version: Version 1. First Release
19: Terms and conditions of use: Creative Commons Attribution Non Commercial CC BY-NC
SHARING/ACCESS INFORMATION
1. Licenses/restrictions placed on the data: Yes
2. Links to publications that cite or use the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
3. Links to other publicly accessible locations of the data:
https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
4. Links/relationships to ancillary data sets: Yes. Additional Datasets are available in the fig share link.
5. Was data derived from another source? No
A. If yes, list source(s):
6. Recommended citation for this dataset: Kilham, Sarina (2023). Interview Margaret Sevenjhazi: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
METHODOLOGICAL INFORMATION
1. Description of methods used for collection/generation of data:
Semi-structured interviews. Data was created through interviews with participants in Australian English. Interviews were audio recorded on iPhone 8 with rode microphone.
2. Consent: Each participant was provided a Participant Information Form and a consent form. Participants were asked explicitly asked about inclusion of their material in the open- access databank and provided informed consent.
3. Ownership and Access: R01-Sarina Kilham. Open-Access Data Archive- Creative Commons Attribution Non Commercial CC BY-NC
4. Collection Mode: Audio recorded semi-structured interview. Interviews conducted in person or via online meeting software.
5. Sampling Method: purposeful sampling via open invitation to community of practitioners.
6. Methods for processing the data: Interviews were recorded in multiple audio-files to prevent data loss by stopping and re-starting the audio recorder. Audio files were combined in the software "Descript" and exported as a single audio file. The single audio file was transcribed by AI-Tool in the software "Descript" and checked by a human for accuracy. Transcripts were sent to participants to for accuracy checking, and the version included here incorporates any amendments or rectifications from the participants.
7. Instrument- or software-specific information needed to interpret the data:
Software: Descript. Used for AI-transcriptions and combining multiple audio files into single file.
8. Standards and calibration information, if appropriate: n/a
9. Environmental/experimental conditions: n/a
10. Describe any quality-assurance procedures performed on the data:
Sarina Kilham checked all transcriptions against the original audio for accuracy.
Participants were sent transcriptions for checking.
11. People involved with sample collection, processing, analysis and/or submission: R01-SARINA KILHAM
DATA & FILE OVERVIEW
1. File List:
001-interviewaudio_p01_margaretsevenjhazi_v01.mp3: single audio file of interview
001-interviewtranscript_p01_margaretsevenjhazi_v01.txt : transcript of audio
Readme.txt: metadata, license and file data.
2. Relationship between files, if important: Dataset files can be used individually or as a dataset collection.
3. Additional related data collected that was not included in the current data package: No
4. Are there multiple versions of the dataset? No
--
DATA-SPECIFIC INFORMATION FOR: 002-interviewtranscript_p02_margaretsevenjhazi_v01.txt
1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6: Kind: text format
7: word count: 5580
DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_margaretsevenjhazi_v01.mp3
1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6. Duration: 33 minutes 13 seconds
7. Audio channels: mono
8. Sample rate: 44.1kHz
9. Kind: mp3 audio
CITATION TOPICS
Web of Science Macro Level Citation topic: Social Sciences
Web of Science Meso label:
6.86 Human Geography
6.153 Climate Change
6.153 Climate Change
6.153 Climate Change
6.263 Agricultural Policy
6.263 Agricultural Policy
6.303 Sociology
6.303 Sociology
Web of Science Micro label:
6.86.149 Gentrification
6.153.558 Climate Change Adaptation
6.153.742 Science Communication
6.153.2227 Strategic Environmental Assessment
6.263.898 Farmers
6.263.1407 Urban Agriculture
6.303.1915 Public Sociology
6.303.2393 Social Policies
--END---
</p
Biomechanical evaluation of double-stranded knot configurations in high-strength sutures and tapes.
No full textPURPOSE
Recently, a new dynamic high-strength suture (DC) was introduced, also available in tape form (DT), featuring a salt-infused silicone core attracting water in a fluid environment to preserve tissue approximation. The aims of this study were to (1) assess the influence of securing throw number on knot security of two double-stranded knot configurations (Cow-hitch and Nice-knot) tied with either dynamic (DC and DT) or conventional (FW and ST) high-strength sutures and tapes, and (2) compare the ultimate force and knot slippage of the novel dynamic versus conventional sutures and tapes when used with their minimal number of needed securing throws.
METHODS
Seven specimens of each FW, ST, DC and DT were considered for tying with Cow-hitch or Nice-knots. The base of these Cow-hitch and Nice-knots was secured with surgeons` knots using 1-3 alternating throws. Tensile tests were conducted under physiologic conditions to evaluate knot slippage, ultimate force at rupture, and minimum number of throws ensuring 100% knot security. RESULTS: For both Cow-hitch and Nice-knots, 100% security was achieved with 2 securing throws for DC, DT, ST, and with 3 securing throws for FW. With these minimum numbers of securing throws, ultimate force was significantly higher for Nice-knots versus Cow-hitch tied with DT (p = 0.001) and slippage was significantly less with Nice-knots versus Cow-hitch tied with DC (p = 0.019).
CONCLUSIONS
The minimum number of securing throws required to achieve 100% security was 2 with DC, DT and ST for both Cow-hitch and Nice-knots configurations, in contrast to FW where 3 securing throws were needed. With these minimum numbers of securing throws, Nice-knots were associated with significantly higher ultimate forces when using DT and lower slippage with DC versus Cow-hitch knots
Interview Liz Millen: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
No full textGENERAL INFORMATION
1. Title of Dataset: Interview Liz Millen: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
2. Participant Name: Liz Millen
3. Consent for Open-Access Data Repository:Yes
4. Author Information
A. Principal Investigator Contact Information
Name: SARINA JOAN KILHAM
ORCID: 0000-0001-5234-2764
Institution: CHARLES STURT UNIVERSITY, WAGGA WAGGA, AUSTRALIA
Email: [email protected]
5. Date of data collection (single date, range, approximate date): 2022-2023
6. Geographic location of data collection : Sydney, Australia
7. Information about funding sources that supported the collection of the data:
City of Sydney Knowledge Exchange Sponsorship [2021/159649 / KEX 202122041]
The Australian Sociological Association: Gary Bouma Memorial Workshop Program 2022
8. Human Research Ethics Protocol: Charles Sturt University Human Research Ethics Committee Protocol Approval: H21466
9. Description/Abstract: This research project will pilot and adapt a holistic mapping methodology called URBAL (Urban-Driven Innovations for Sustainable Food Systems) to examine urban food system sustainability innovation in the City of Sydney LGA. The research findings will give policy-makers and community led organisations (CLOs) a shared view and understanding of ‘what food systems innovations work’ and ‘why they work’. The results will be used by local governments, NGOs and food-based CLOs to inform, support and develop future food policy and sustainable food projects. This is interdisciplinary research that primarily uses contemporary social science approaches.
10. Subject: Social Sciences
11. Australian and New Zealand Standard Research Classification (ANZSRC) Field of Research Code: 160804
12. Australian and New Zealand Standard Research Classification (ANZSRC) Socio-economic Objective (SEO) Code: 960799
13. Keywords: food governance, innovation, urban food systems, social innovation,
14. Contributor Information
A. Research Associate
Name: TANIA LEIMBACH
ORCID: 0000-0002-8144-5065
Email: [email protected]
B. Research Associate
Name: TANJA ROSENQVIST
ORCID: 0000-0003-3899-6694
Email: [email protected]
15: Type of Data: qualitative, interview transcripts, audio interviews
16: Format of Data: text READme file , .mp3 audio files , .rtf transcripts
17: Software: MSOffice 365 Education version 16.57, 2021. Descript Audio App. Zoom Meeting app. Rode Reporter Audio Recording App.
18: Version: Version 1. First Release
19: Terms and conditions of use: Creative Commons Attribution Non Commercial CC BY-NC
SHARING/ACCESS INFORMATION
1. Licenses/restrictions placed on the data: Yes
2. Links to publications that cite or use the data: https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
3. Links to other publicly accessible locations of the data:
https://figshare.com/projects/Sydney_Urban_Food_Innovation_Pathways/160649
4. Links/relationships to ancillary data sets: Yes. Additional Datasets are available in the fig share link.
5. Was data derived from another source? No
A. If yes, list source(s):
6. Recommended citation for this dataset: Kilham, Sarina (2023). Interview Liz Millen: Mapping Urban Driven Innovations for Sustainable Food Systems in Sydney, Australia
METHODOLOGICAL INFORMATION
1. Description of methods used for collection/generation of data:
Semi-structured interviews. Data was created through interviews with participants in Australian English. Interviews were audio recorded on iPhone 8 with rode microphone.
2. Consent: Each participant was provided a Participant Information Form and a consent form. Participants were asked explicitly asked about inclusion of their material in the open- access databank and provided informed consent.
3. Ownership and Access: R01-Sarina Kilham. Open-Access Data Archive- Creative Commons Attribution Non Commercial CC BY-NC
4. Collection Mode: Audio recorded semi-structured interview. Interviews conducted in person or via online meeting software.
5. Sampling Method: purposeful sampling via open invitation to community of practitioners.
6. Methods for processing the data: Interviews were recorded in multiple audio-files to prevent data loss by stopping and re-starting the audio recorder. Audio files were combined in the software "Descript" and exported as a single audio file. The single audio file was transcribed by AI-Tool in the software "Descript" and checked by a human for accuracy. Transcripts were sent to participants to for accuracy checking, and the version included here incorporates any amendments or rectifications from the participants.
7. Instrument- or software-specific information needed to interpret the data:
Software: Descript. Used for AI-transcriptions and combining multiple audio files into single file.
8. Standards and calibration information, if appropriate: n/a
9. Environmental/experimental conditions: n/a
10. Describe any quality-assurance procedures performed on the data:
Sarina Kilham checked all transcriptions against the original audio for accuracy.
Participants were sent transcriptions for checking.
11. People involved with sample collection, processing, analysis and/or submission: R01-SARINA KILHAM
DATA & FILE OVERVIEW
1. File List:
001-interviewaudio_p01_lizmillen_v01.mp3: single audio file of interview
001-interviewtranscript_p01_lizmillen_v01.txt : transcript of audio
Readme.txt: metadata, license and file data.
2. Relationship between files, if important: Dataset files can be used individually or as a dataset collection.
3. Additional related data collected that was not included in the current data package: No
4. Are there multiple versions of the dataset? No
--
DATA-SPECIFIC INFORMATION FOR: 002-interviewtranscript_p02_lizmillen_v01.txt
1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6: Kind: text format
7: word count: 8,075
DATA-SPECIFIC INFORMATION FOR: 001-interviewaudio_p01_lizmillen_v01.mp3
1. Number of variables: n/a
2. Number of cases/rows: n/a
3. Variable List: n/a
4. Missing data codes: n/a
5. Specialized formats or other abbreviations used: n/a
6. Duration: 47 minutes 30 seconds
7. Audio channels: mono
8. Sample rate: 44.1kHz
9. Kind: mp3 audio
CITATION TOPICS
Web of Science Macro Level Citation topic: Social Sciences
Web of Science Meso label:
6.86 Human Geography
6.153 Climate Change
6.153 Climate Change
6.153 Climate Change
6.263 Agricultural Policy
6.263 Agricultural Policy
6.303 Sociology
6.303 Sociology
Web of Science Micro label:
6.86.149 Gentrification
6.153.558 Climate Change Adaptation
6.153.742 Science Communication
6.153.2227 Strategic Environmental Assessment
6.263.898 Farmers
6.263.1407 Urban Agriculture
6.303.1915 Public Sociology
6.303.2393 Social Policies
--END---
</p
Effects of the Transcendental Meditation Program on Substance Use among University Students
No full textA randomized wait-list controlled trial (=295 university students) of the effects of the Transcendental Meditation program was conducted in an urban setting. Substance use was assessed by self-report at baseline and 3 months later. For smoking and illicit drug use, there were no significant differences between conditions. For alcohol use, sex X intervention condition interactions were significant; TM instruction lowered drinking rates among male but not female students. TM instruction could play a valuable role in reducing alcohol use among male university students. Limitations are noted, along with suggestions for further research
Supplemental Data for A Phase II Study of Talazoparib Tosylate in Advanced Cancer Patients with Somatic and Germline (Not Breast or Ovarian Cancer) Alterations of BRCA1/2, Mutations/Deletions/Amplification in Other Homologous Recombination Repair Pathway Genes and PTEN or PTEN loss
No full textThe de-identified participant data and dataset generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Custom code that was used in the generation or analysis of the datasets is available upon reasonable request.
Corresponding Author: Sarina Piha-Paul,Department of Investigational Cancer Therapeutics (A Phase I Clinical Trials Program), University of Texas MD Anderson Cancer Center, Houston, TX. Phone: (713)-563-1055, Fax:(713)-792-3535, [email protected]://openworks.mdanderson.org/ict/1000/thumbnail.jp
SOME MUST DREAM: THE HISTORY OF THE FORD PEACE EXPEDITION AND THE NEUTRAL CONFERENCE FOR CONTINUOUS MEDIATION
No full textSource: Dissertation Abstracts International, Volume: 40-02, Section: A, page: 1029.Ph.D. American University 1976.Englis
Srebrenica is not a Metaphor : The Significance of the Srebrenica Memorial Center - Potočari for Understanding Genocide
No full textThe author will emphasize the importance of both the existence and the further development of the Srebrenica - Potočari Memorial Center, in the context of the continued need to understand the genocide that took place in and around Srebrenica, from the aspect of building a culture of remembrance throughout Bosnia and Herzegovina (B&H). This is necessary in order to continue fighting the ongoing genocide denial. At first glance, a culture of remembrance presupposes immobility and focus on the past to some, but it is essentially dynamic, and connects three temporal dimensions: it evokes the present, refers to the past but always deliberates over the future. In this paper, the emphasis is placed on the concept of the place of remembrance, the lieu de memoire as introduced by the historian Pierre Nora. In this sense, a place of remembrance such as the Srebrenica - Potočari Memorial Center is an expression of a process in which people are no longer just immersed in their past but read and analyze it in the present. Furthermore, looking to the future, they also become mediators of relations between people and communities, which in sociological theory is an important issue of social relations. The author of this paper emphasizes that collective memory in the specific case of genocide in and around Srebrenica is only possible when the social relations around the building (Srebrenica - Potočari Memorial Center) crystallize, which is then much more than just the content of the culture of remembrance
An analysis of Brooklyn's rabbinical Takana prohibiting Syrian and Near Eastern Jews from marrying converts
No full textThis master's thesis explores the roots of the 1935 Takana - which forbids marriage to those who convert for the purpose of marriage - and subsequent reaffirmations issued by Rabbi Jacob S. Kassin, the Brooklyn, NY Syrian Jewish community's Chief Rabbi, and the Rabbinical Council of the Syrian community. Such marriages were not to be recognized by the community. Children of such marriages could not attend community yeshivot. Further, rites of passage such as bar mitzvahs, weddings and the right to be buried in the community's cemetery were denied, as well as synagogue honors.The author provides historical context, examines 18th century practices on marriage to converts in the United States, interviews community rabbis, discusses enforcement, provides individual cases, examines demographics, and analyzes the changes in the Takana with each Reaffirmation. The author also provides a social context for how the Takana is interpreted 70 years after it was issued. As a community member, the author provides valuable insight into how the Takana is interpreted by the community's members.Thesis (M.J.S.)--Touro College, 2006.School code: 1512
