cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26193/uhahph
title: Structural properties of groups, 1976-1978: File 77p

description: This research is concerned with the development and validation of sociometric indices of the structural properties of groups. The 1976 study contained general questions about the group, its members, and the respondents' activities in relation to them. Sixteen questions were used to create interpersonal rating matrices from which sociometric measures of status differentiation, bias differentiation, status-bias concordance and differential mutuality were constructed. Scale analysis of 36 questions gave homogeneous and distinct scales of member heterogeneity, rejection of group, and permeability. In the 1977 study, six structural properties - consensus, role differentiation, fragmentation, status differentiation, solidarity and permeability - were measured by quantitative sociometric procedures. Consensus was measured in two ways: by means of an open question and with 28 statements about desirable behaviours. Two questions were used to determine role differentiation, four questions for fragmentation, five questions for status differentiation and two questions for solidarity. A second instrument containing statements that described the group directly on these five structural properties, among other characteristics, was administered both to group member and to outside informants. An index of permeability was determined by the rate of membership turnover reported by members for the previous year. Groups in the 1978-79 study were given an abbreviated form of the 1977 questionnaire to allow differences among group types to be examined.
description: <b>Copyright:</b><br>Copyright © 2005, Australian National University and Australian National University. All rights reserved.
DOI: 10.26193/4wojr6
title: Structural properties of groups, 1976-1978: File 77q

description: This research is concerned with the development and validation of sociometric indices of the structural properties of groups. The 1976 study contained general questions about the group, its members, and the respondents' activities in relation to them. Sixteen questions were used to create interpersonal rating matrices from which sociometric measures of status differentiation, bias differentiation, status-bias concordance and differential mutuality were constructed. Scale analysis of 36 questions gave homogeneous and distinct scales of member heterogeneity, rejection of group, and permeability. In the 1977 study, six structural properties - consensus, role differentiation, fragmentation, status differentiation, solidarity and permeability - were measured by quantitative sociometric procedures. Consensus was measured in two ways: by means of an open question and with 28 statements about desirable behaviours. Two questions were used to determine role differentiation, four questions for fragmentation, five questions for status differentiation and two questions for solidarity. A second instrument containing statements that described the group directly on these five structural properties, among other characteristics, was administered both to group member and to outside informants. An index of permeability was determined by the rate of membership turnover reported by members for the previous year. Groups in the 1978-79 study were given an abbreviated form of the 1977 questionnaire to allow differences among group types to be examined.
description: <b>Copyright:</b><br>Copyright © 2005, Australian National University and Australian National University. All rights reserved.
DOI: 10.26193/chfmdw
title: Structural properties of groups, 1976-1978: File 77r

description: This research is concerned with the development and validation of sociometric indices of the structural properties of groups. The 1976 study contained general questions about the group, its members, and the respondents' activities in relation to them. Sixteen questions were used to create interpersonal rating matrices from which sociometric measures of status differentiation, bias differentiation, status-bias concordance and differential mutuality were constructed. Scale analysis of 36 questions gave homogeneous and distinct scales of member heterogeneity, rejection of group, and permeability. In the 1977 study, six structural properties - consensus, role differentiation, fragmentation, status differentiation, solidarity and permeability - were measured by quantitative sociometric procedures. Consensus was measured in two ways: by means of an open question and with 28 statements about desirable behaviours. Two questions were used to determine role differentiation, four questions for fragmentation, five questions for status differentiation and two questions for solidarity. A second instrument containing statements that described the group directly on these five structural properties, among other characteristics, was administered both to group member and to outside informants. An index of permeability was determined by the rate of membership turnover reported by members for the previous year. Groups in the 1978-79 study were given an abbreviated form of the 1977 questionnaire to allow differences among group types to be examined.
description: <b>Copyright:</b><br>Copyright © 2005, Australian National University and Australian National University. All rights reserved.<br><br>
DOI: 10.5281/zenodo.10821720
title: SuperWASP Variable Star Photometry Archive (VeSPA)

description: This data set contains the metadata for periodic variable stars that have been classified by Citizen Scientists using the SuperWASP Variable Stars Zooniverse project.


The data set is in the same format as custom data exports generated via the superwasp.org website. It consists of three files:



	
export.csv: The main data export in CSV format, containing one row per folded light curve (i.e. multiple rows per source object).
	
fields.yaml: A YAML-format list of the columns included in the CSV export with an English description of each one.
	
params.yaml: A YAML-format copy of the search and filtering parameters which were used to generate the export (in this case this is the full data set with no filtering applied). Also includes a data version number which will be incremented with future data releases or changes to the export format.



Photometry data is also available for download in FITS and JSON format, but this is not included here. URLs for the photometry files are included in export.csv for ease of downloading.


Acknowledgements


The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen’s University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the Isaac Newton Group, the Instituto de Astrofisica de Canarias, the South African Astronomical Observatory and by STFC.


The Zooniverse project on SuperWASP Variable Stars is led by Andrew Norton (The Open University) and builds on work he has done with his former postgraduate students Les Thomas, Stan Payne, Marcus Lohr, Paul Greer, and Heidi Thiemann, and current postgraduate student Adam McMaster.


The Zooniverse project on SuperWASP Variable Stars was developed with the help of the ASTERICS Horizon2020 project. ASTERICS is supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n.653477


VeSPA was designed and developed by Adam McMaster as part of his postgraduate work. This work is funded by STFC, DISCnet, and the Open University Space SRA. Server infrastructure was funded by the Open University Space SRA.
DOI: 10.5281/zenodo.14937227
title: SuperWASP Variable Star Photometry Archive (VeSPA)

description: This data set contains the metadata for periodic variable stars that have been classified by Citizen Scientists using the SuperWASP Variable Stars Zooniverse project.


The data set is in the same format as custom data exports generated via the superwasp.org website. It consists of three files:



	
export.csv: The main data export in CSV format, containing one row per folded light curve (i.e. multiple rows per source object).
	
fields.yaml: A YAML-format list of the columns included in the CSV export with an English description of each one.
	
params.yaml: A YAML-format copy of the search and filtering parameters which were used to generate the export (in this case this is the full data set with no filtering applied). Also includes a data version number which will be incremented with future data releases or changes to the export format.



Photometry data is also available for download in FITS and JSON format, but this is not included here. URLs for the photometry files are included in export.csv for ease of downloading.


Acknowledgements


The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen’s University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the Isaac Newton Group, the Instituto de Astrofisica de Canarias, the South African Astronomical Observatory and by STFC.


The Zooniverse project on SuperWASP Variable Stars is led by Andrew Norton (The Open University) and builds on work he has done with his former postgraduate students Les Thomas, Stan Payne, Marcus Lohr, Paul Greer, and Heidi Thiemann, and current postgraduate student Adam McMaster.


The Zooniverse project on SuperWASP Variable Stars was developed with the help of the ASTERICS Horizon2020 project. ASTERICS is supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n.653477


VeSPA was designed and developed by Adam McMaster as part of his postgraduate work. This work is funded by STFC, DISCnet, and the Open University Space SRA. Server infrastructure was funded by the Open University Space SRA.
DOI: 10.5281/zenodo.5526859
title: SuperWASP Variable Star Photometry Archive (VeSPA)

description: This data set contains the metadata for periodic variable stars that have been classified by Citizen Scientists using the SuperWASP Variable Stars Zooniverse project.


The data set is in the same format as custom data exports generated via the superwasp.org website. It consists of three files:



	
export.csv: The main data export in CSV format, containing one row per folded light curve (i.e. multiple rows per source object).
	
fields.yaml: A YAML-format list of the columns included in the CSV export with an English description of each one.
	
params.yaml: A YAML-format copy of the search and filtering parameters which were used to generate the export (in this case this is the full data set with no filtering applied). Also includes a data version number which will be incremented with future data releases or changes to the export format.



Photometry data is also available for download in FITS and JSON format, but this is not included here. URLs for the photometry files are included in export.csv for ease of downloading.


Acknowledgements


The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen’s University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the Isaac Newton Group, the Instituto de Astrofisica de Canarias, the South African Astronomical Observatory and by STFC.


The Zooniverse project on SuperWASP Variable Stars is led by Andrew Norton (The Open University) and builds on work he has done with his former postgraduate students Les Thomas, Stan Payne, Marcus Lohr, Paul Greer, and Heidi Thiemann, and current postgraduate student Adam McMaster.


The Zooniverse project on SuperWASP Variable Stars was developed with the help of the ASTERICS Horizon2020 project. ASTERICS is supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n.653477


VeSPA was designed and developed by Adam McMaster as part of his postgraduate work. This work is funded by STFC, DISCnet, and the Open University Space SRA. Server infrastructure was funded by the Open University Space SRA.
DOI: 10.5281/zenodo.5526860
title: SuperWASP Variable Star Photometry Archive (VeSPA)

description: This data set contains the metadata for periodic variable stars that have been classified by Citizen Scientists using the SuperWASP Variable Stars Zooniverse project. The data set is in the same format as custom data exports generated via the superwasp.org website. It consists of three files: <strong>export.csv</strong>: The main data export in CSV format, containing one row per folded light curve (i.e. multiple rows per source object). <strong>fields.yaml</strong>: A YAML-format list of the columns included in the CSV export with an English description of each one. <strong>params.yaml</strong>: A YAML-format copy of the search and filtering parameters which were used to generate the export (in this case this is the full data set with no filtering applied). Also includes a data version number which will be incremented with future data releases or changes to the export format. Photometry data is also available for download in FITS and JSON format, but this is not included here. URLs for the photometry files are included in <strong>export.csv</strong> for ease of downloading. <strong>Acknowledgements</strong> The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen’s University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the Isaac Newton Group, the Instituto de Astrofisica de Canarias, the South African Astronomical Observatory and by STFC. The Zooniverse project on SuperWASP Variable Stars is led by Andrew Norton (The Open University) and builds on work he has done with his former postgraduate students Les Thomas, Stan Payne, Marcus Lohr, Paul Greer, and Heidi Thiemann, and current postgraduate student Adam McMaster. The Zooniverse project on SuperWASP Variable Stars was developed with the help of the ASTERICS Horizon2020 project. ASTERICS is supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n.653477 VeSPA was designed and developed by Adam McMaster as part of his postgraduate work. This work is funded by STFC, DISCnet, and the Open University Space SRA. Server infrastructure was funded by the Open University Space SRA.
DOI: 10.5281/zenodo.6421401
title: SuperWASP Variable Star Photometry Archive (VeSPA)

description: This data set contains the metadata for periodic variable stars that have been classified by Citizen Scientists using the SuperWASP Variable Stars Zooniverse project. The data set is in the same format as custom data exports generated via the superwasp.org website. It consists of three files: <strong>export.csv</strong>: The main data export in CSV format, containing one row per folded light curve (i.e. multiple rows per source object). <strong>fields.yaml</strong>: A YAML-format list of the columns included in the CSV export with an English description of each one. <strong>params.yaml</strong>: A YAML-format copy of the search and filtering parameters which were used to generate the export (in this case this is the full data set with no filtering applied). Also includes a data version number which will be incremented with future data releases or changes to the export format. Photometry data is also available for download in FITS and JSON format, but this is not included here. URLs for the photometry files are included in <strong>export.csv</strong> for ease of downloading. <strong>Acknowledgements</strong> The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen’s University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the Isaac Newton Group, the Instituto de Astrofisica de Canarias, the South African Astronomical Observatory and by STFC. The Zooniverse project on SuperWASP Variable Stars is led by Andrew Norton (The Open University) and builds on work he has done with his former postgraduate students Les Thomas, Stan Payne, Marcus Lohr, Paul Greer, and Heidi Thiemann, and current postgraduate student Adam McMaster. The Zooniverse project on SuperWASP Variable Stars was developed with the help of the ASTERICS Horizon2020 project. ASTERICS is supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n.653477 VeSPA was designed and developed by Adam McMaster as part of his postgraduate work. This work is funded by STFC, DISCnet, and the Open University Space SRA. Server infrastructure was funded by the Open University Space SRA.
DOI: 10.5281/zenodo.7566182
title: SuperWASP Variable Star Photometry Archive (VeSPA)

description: This data set contains the metadata for periodic variable stars that have been classified by Citizen Scientists using the SuperWASP Variable Stars Zooniverse project. The data set is in the same format as custom data exports generated via the superwasp.org website. It consists of three files: <strong>export.csv</strong>: The main data export in CSV format, containing one row per folded light curve (i.e. multiple rows per source object). <strong>fields.yaml</strong>: A YAML-format list of the columns included in the CSV export with an English description of each one. <strong>params.yaml</strong>: A YAML-format copy of the search and filtering parameters which were used to generate the export (in this case this is the full data set with no filtering applied). Also includes a data version number which will be incremented with future data releases or changes to the export format. Photometry data is also available for download in FITS and JSON format, but this is not included here. URLs for the photometry files are included in <strong>export.csv</strong> for ease of downloading. <strong>Acknowledgements</strong> The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen’s University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the Isaac Newton Group, the Instituto de Astrofisica de Canarias, the South African Astronomical Observatory and by STFC. The Zooniverse project on SuperWASP Variable Stars is led by Andrew Norton (The Open University) and builds on work he has done with his former postgraduate students Les Thomas, Stan Payne, Marcus Lohr, Paul Greer, and Heidi Thiemann, and current postgraduate student Adam McMaster. The Zooniverse project on SuperWASP Variable Stars was developed with the help of the ASTERICS Horizon2020 project. ASTERICS is supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n.653477 VeSPA was designed and developed by Adam McMaster as part of his postgraduate work. This work is funded by STFC, DISCnet, and the Open University Space SRA. Server infrastructure was funded by the Open University Space SRA.
DOI: 10.5281/zenodo.8208049
title: SuperWASP Variable Star Photometry Archive (VeSPA)

description: This data set contains the metadata for periodic variable stars that have been classified by Citizen Scientists using the SuperWASP Variable Stars Zooniverse project. The data set is in the same format as custom data exports generated via the superwasp.org website. It consists of three files: <strong>export.csv</strong>: The main data export in CSV format, containing one row per folded light curve (i.e. multiple rows per source object). <strong>fields.yaml</strong>: A YAML-format list of the columns included in the CSV export with an English description of each one. <strong>params.yaml</strong>: A YAML-format copy of the search and filtering parameters which were used to generate the export (in this case this is the full data set with no filtering applied). Also includes a data version number which will be incremented with future data releases or changes to the export format. Photometry data is also available for download in FITS and JSON format, but this is not included here. URLs for the photometry files are included in <strong>export.csv</strong> for ease of downloading. <strong>Acknowledgements</strong> The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen’s University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the Isaac Newton Group, the Instituto de Astrofisica de Canarias, the South African Astronomical Observatory and by STFC. The Zooniverse project on SuperWASP Variable Stars is led by Andrew Norton (The Open University) and builds on work he has done with his former postgraduate students Les Thomas, Stan Payne, Marcus Lohr, Paul Greer, and Heidi Thiemann, and current postgraduate student Adam McMaster. The Zooniverse project on SuperWASP Variable Stars was developed with the help of the ASTERICS Horizon2020 project. ASTERICS is supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n.653477 VeSPA was designed and developed by Adam McMaster as part of his postgraduate work. This work is funded by STFC, DISCnet, and the Open University Space SRA. Server infrastructure was funded by the Open University Space SRA.
DOI: 10.26193/mtwwlx
title: Structural properties of groups, 1976-1978: File 77s

description: This research is concerned with the development and validation of sociometric indices of the structural properties of groups. The 1976 study contained general questions about the group, its members, and the respondents' activities in relation to them. Sixteen questions were used to create interpersonal rating matrices from which sociometric measures of status differentiation, bias differentiation, status-bias concordance and differential mutuality were constructed. Scale analysis of 36 questions gave homogeneous and distinct scales of member heterogeneity, rejection of group, and permeability. In the 1977 study, six structural properties - consensus, role differentiation, fragmentation, status differentiation, solidarity and permeability - were measured by quantitative sociometric procedures. Consensus was measured in two ways: by means of an open question and with 28 statements about desirable behaviours. Two questions were used to determine role differentiation, four questions for fragmentation, five questions for status differentiation and two questions for solidarity. A second instrument containing statements that described the group directly on these five structural properties, among other characteristics, was administered both to group member and to outside informants. An index of permeability was determined by the rate of membership turnover reported by members for the previous year. Groups in the 1978-79 study were given an abbreviated form of the 1977 questionnaire to allow differences among group types to be examined.
description: <b>Copyright:</b><br>Copyright © 2005, Australian National University and Australian National University. All rights reserved.