cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1740577
title: Materials Data on YbH12(CN3)3 by Materials Project

description: YbH12(CN3)3 crystallizes in the cubic Pn-3 space group. The structure is three-dimensional. there are two inequivalent Yb3+ sites. In the first Yb3+ site, Yb3+ is bonded in an octahedral geometry to six equivalent N3- atoms. All Yb–N bond lengths are 2.45 Å. In the second Yb3+ site, Yb3+ is bonded in an octahedral geometry to six equivalent N3- atoms. All Yb–N bond lengths are 2.45 Å. C4+ is bonded in a trigonal planar geometry to three N3- atoms. There are a spread of C–N bond distances ranging from 1.34–1.38 Å. There are three inequivalent N3- sites. In the first N3- site, N3- is bonded in a 3-coordinate geometry to one Yb3+, one C4+, and one H1+ atom. The N–H bond length is 1.03 Å. In the second N3- site, N3- is bonded in a trigonal planar geometry to one C4+ and two H1+ atoms. Both N–H bond lengths are 1.02 Å. In the third N3- site, N3- is bonded in a 3-coordinate geometry to one Yb3+, one C4+, and one H1+ atom. The N–H bond length is 1.02 Å. There are four inequivalent H1+ sites. In the first H1+ site, H1+ is bonded in a single-bond geometry to one N3- atom. In the second H1+ site, H1+ is bonded in a single-bond geometry to one N3- atom. In the third H1+ site, H1+ is bonded in a single-bond geometry to one N3- atom. In the fourth H1+ site, H1+ is bonded in a single-bond geometry to one N3- atom.
DOI: 10.17188/1740578
title: Materials Data on KY2Cl7 by Materials Project

description: KY2Cl7 crystallizes in the monoclinic P2_1/c space group. The structure is three-dimensional. K1+ is bonded in a 9-coordinate geometry to nine Cl1- atoms. There are a spread of K–Cl bond distances ranging from 3.27–3.84 Å. There are two inequivalent Y3+ sites. In the first Y3+ site, Y3+ is bonded to seven Cl1- atoms to form a mixture of distorted edge and face-sharing YCl7 pentagonal bipyramids. There are a spread of Y–Cl bond distances ranging from 2.69–2.78 Å. In the second Y3+ site, Y3+ is bonded to seven Cl1- atoms to form a mixture of distorted edge and face-sharing YCl7 pentagonal bipyramids. There are a spread of Y–Cl bond distances ranging from 2.69–2.76 Å. There are seven inequivalent Cl1- sites. In the first Cl1- site, Cl1- is bonded in a 2-coordinate geometry to one K1+ and two Y3+ atoms. In the second Cl1- site, Cl1- is bonded in a distorted trigonal non-coplanar geometry to one K1+ and two Y3+ atoms. In the third Cl1- site, Cl1- is bonded in a 3-coordinate geometry to two equivalent K1+ and two Y3+ atoms. In the fourth Cl1- site, Cl1- is bonded in a 2-coordinate geometry to two equivalent K1+ and two Y3+ atoms. In the fifth Cl1- site, Cl1- is bonded in a distorted L-shaped geometry to one K1+ and two Y3+ atoms. In the sixth Cl1- site, Cl1- is bonded in a distorted water-like geometry to one K1+ and two Y3+ atoms. In the seventh Cl1- site, Cl1- is bonded in a distorted trigonal non-coplanar geometry to one K1+ and two Y3+ atoms.
DOI: 10.6084/m9.figshare.13335818
title: PS D (Chapter II, Evans Dissertation)

description: This is drone product set D from Chapter II of Alexandra's dissertation.<br>The orthomosaic and DSM show West Branch Deerfield River in Readsboro, VT, USA. The imagery was collected on November 1, 2017 using a DJI Phantom 3 Professional drone. Note that the elevation values are only reliable for examining relative topography across the site. The built-in drone GPS was used for georeferencing during SfM processing, and the EXIF data provided inaccurate altitude measurements. The XY locations are more reliable based on checks against alignment with base maps in ArcGIS. The drone PS' relative accuracy was deemed acceptable for the purposes in Chapter II. Automated drone flight paths were used to collect nadir aerial images with sufficient image overlap for SfM processing in Agisoft PhotoScan Professional. The PhotoScan-generated report includes additional details on the SfM processing workflow and on the drone products.<br>Please see Alexandra's dissertation (University of New Hampshire) for more information on the drone products and project.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.25403/upresearchdata.13678111
title: Creating Customer Value through Digital Transformation In Africa

description: Text Transcript that underpins the research study. It is a qualitative research.The research study adopted research methods.
DOI: 10.17188/1740580
title: Materials Data on Li3Fe7O12 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1740581
title: Materials Data on NaVF3 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.6084/m9.figshare.13335818.v1
title: PS D (Chapter II, Evans Dissertation)

description: This is drone product set D from Chapter II of Alexandra's dissertation.<br>The orthomosaic and DSM show West Branch Deerfield River in Readsboro, VT, USA. The imagery was collected on November 1, 2017 using a DJI Phantom 3 Professional drone. Note that the elevation values are only reliable for examining relative topography across the site. The built-in drone GPS was used for georeferencing during SfM processing, and the EXIF data provided inaccurate altitude measurements. The XY locations are more reliable based on checks against alignment with base maps in ArcGIS. The drone PS' relative accuracy was deemed acceptable for the purposes in Chapter II. Automated drone flight paths were used to collect nadir aerial images with sufficient image overlap for SfM processing in Agisoft PhotoScan Professional. The PhotoScan-generated report includes additional details on the SfM processing workflow and on the drone products.<br>Please see Alexandra's dissertation (University of New Hampshire) for more information on the drone products and project.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.25403/upresearchdata.13643294
title: The mediating effect of organisational justice mechanisms on the relationship between leadership and trust

description: The focus of this research was to build on existing literature of leadership, organisational justice mechanisms and trust. This was done through specific focus on how different kinds of leadership styles, transformational leadership and transactional leadership, effects different types of trust, being affect-based trust and cognition-based trust, as mediated by organisational justice mechanisms, being distributive justice, procedural justice and interactional justice.<br>To investigate these complex relationships, and given the number of latent constructs proposed, the statistical technique used in this research was partial leased squares structural equation modelling (PLS-SEM). This enabled the researcher to evaluate the strength and significance of relationships in this complex model.<br>Findings showed that distributive justice and procedural justice had no significant mediating effect between leadership style, being transformational leadership and transactional leadership, and the components of trust, being affect-based trust and cognition-based trust. However, it was found that interactional justice had a significant positive mediating effect between transactional leadership and the components of trust, being affect-based trust and cognition-based trust, but not for transformational leadership.<br>Given the context of the study, these findings further support the notion that it is the responsibility of leaders in an organisation to communicate effectively, clearly and transparently to their followers at all times and, in doing so, increase the level of perceived fairness which will then result in trust being built within the organisation. This in turn will allow employees to put themselves in positions of vulnerability, with the expectation that positive outcomes will be achieved.<br>
DOI: 10.25403/upresearchdata.13678111.v1
title: Creating Customer Value through Digital Transformation In Africa

description: Text Transcript that underpins the research study. It is a qualitative research.The research study adopted research methods.
DOI: 10.25403/upresearchdata.13643294.v1
title: The mediating effect of organisational justice mechanisms on the relationship between leadership and trust

description: The focus of this research was to build on existing literature of leadership, organisational justice mechanisms and trust. This was done through specific focus on how different kinds of leadership styles, transformational leadership and transactional leadership, effects different types of trust, being affect-based trust and cognition-based trust, as mediated by organisational justice mechanisms, being distributive justice, procedural justice and interactional justice.<br>To investigate these complex relationships, and given the number of latent constructs proposed, the statistical technique used in this research was partial leased squares structural equation modelling (PLS-SEM). This enabled the researcher to evaluate the strength and significance of relationships in this complex model.<br>Findings showed that distributive justice and procedural justice had no significant mediating effect between leadership style, being transformational leadership and transactional leadership, and the components of trust, being affect-based trust and cognition-based trust. However, it was found that interactional justice had a significant positive mediating effect between transactional leadership and the components of trust, being affect-based trust and cognition-based trust, but not for transformational leadership.<br>Given the context of the study, these findings further support the notion that it is the responsibility of leaders in an organisation to communicate effectively, clearly and transparently to their followers at all times and, in doing so, increase the level of perceived fairness which will then result in trust being built within the organisation. This in turn will allow employees to put themselves in positions of vulnerability, with the expectation that positive outcomes will be achieved.<br>
DOI: 10.6084/m9.figshare.13335842.v1
title: PS E (Chapter II, Evans Dissertation)

description: This is drone product set E from Chapter II of Alexandra's dissertation.<br>The orthomosaic and DSM show Beards Creek in Durham, NH, USA. The imagery was collected on May 30, 2018 using a DJI Phantom 3 Professional drone. Note that the elevation values are only reliable for examining relative topography across the site. The built-in drone GPS was used for georeferencing during SfM processing, and the EXIF data provided inaccurate altitude measurements. The XY locations are more reliable based on checks against alignment with base maps in ArcGIS. The drone PS' relative accuracy was deemed acceptable for the purposes in Chapter II. Automated drone flight paths were used to collect nadir and angled aerial images with sufficient image overlap for SfM processing in Agisoft PhotoScan Professional. The PhotoScan-generated report includes additional details on the SfM processing workflow and on the drone products.<br>Please see Alexandra's dissertation (University of New Hampshire) for more information on the drone products and project.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13335842
title: PS E (Chapter II, Evans Dissertation)

description: This is drone product set E from Chapter II of Alexandra's dissertation.<br>The orthomosaic and DSM show Beards Creek in Durham, NH, USA. The imagery was collected on May 30, 2018 using a DJI Phantom 3 Professional drone. Note that the elevation values are only reliable for examining relative topography across the site. The built-in drone GPS was used for georeferencing during SfM processing, and the EXIF data provided inaccurate altitude measurements. The XY locations are more reliable based on checks against alignment with base maps in ArcGIS. The drone PS' relative accuracy was deemed acceptable for the purposes in Chapter II. Automated drone flight paths were used to collect nadir and angled aerial images with sufficient image overlap for SfM processing in Agisoft PhotoScan Professional. The PhotoScan-generated report includes additional details on the SfM processing workflow and on the drone products.<br>Please see Alexandra's dissertation (University of New Hampshire) for more information on the drone products and project.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.17188/1740583
title: Materials Data on P5(WO6)4 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1740584
title: Materials Data on BaSmFeCuO5 by Materials Project

description: SmBaCuFeO5 crystallizes in the tetragonal P4mm space group. The structure is three-dimensional. Ba2+ is bonded in a 8-coordinate geometry to eight O2- atoms. There are four shorter (2.82 Å) and four longer (2.93 Å) Ba–O bond lengths. Sm3+ is bonded in a body-centered cubic geometry to eight O2- atoms. There are four shorter (2.41 Å) and four longer (2.51 Å) Sm–O bond lengths. Fe3+ is bonded to five O2- atoms to form distorted FeO5 trigonal bipyramids that share a cornercorner with one CuO5 square pyramid and corners with four equivalent FeO5 trigonal bipyramids. There is one shorter (1.87 Å) and four longer (2.04 Å) Fe–O bond length. Cu2+ is bonded to five O2- atoms to form CuO5 square pyramids that share corners with four equivalent CuO5 square pyramids and a cornercorner with one FeO5 trigonal bipyramid. There are four shorter (1.97 Å) and one longer (2.48 Å) Cu–O bond lengths. There are three inequivalent O2- sites. In the first O2- site, O2- is bonded to two equivalent Sm3+ and two equivalent Fe3+ atoms to form a mixture of distorted edge and corner-sharing OSm2Fe2 tetrahedra. In the second O2- site, O2- is bonded in a 6-coordinate geometry to two equivalent Ba2+, two equivalent Sm3+, and two equivalent Cu2+ atoms. In the third O2- site, O2- is bonded in a 6-coordinate geometry to four equivalent Ba2+, one Fe3+, and one Cu2+ atom.
DOI: 10.17188/1740585
title: Materials Data on GaTeO3 by Materials Project

description: GaTeO3 is (Cubic) Perovskite structured and crystallizes in the cubic Pm-3m space group. The structure is three-dimensional. Ga2+ is bonded to six equivalent O2- atoms to form GaO6 octahedra that share corners with six equivalent GaO6 octahedra and faces with eight equivalent TeO12 cuboctahedra. The corner-sharing octahedral tilt angles are 0°. All Ga–O bond lengths are 1.94 Å. Te4+ is bonded to twelve equivalent O2- atoms to form TeO12 cuboctahedra that share corners with twelve equivalent TeO12 cuboctahedra, faces with six equivalent TeO12 cuboctahedra, and faces with eight equivalent GaO6 octahedra. All Te–O bond lengths are 2.75 Å. O2- is bonded in a distorted linear geometry to two equivalent Ga2+ and four equivalent Te4+ atoms.
DOI: 10.6084/m9.figshare.13335875
title: PS F (Chapter II, Evans Dissertation)

description: This is drone product set F from Chapter II of Alexandra's dissertation.<br>The orthomosaic and DSM show Beards Creek in Durham, NH, USA. The imagery was collected on July 11, 2018 using a DJI Phantom 3 Professional drone. Note that the elevation values are only reliable for examining relative topography across the site. The built-in drone GPS was used for georeferencing during SfM processing, and the EXIF data provided inaccurate altitude measurements. The XY locations are more reliable based on checks against alignment with base maps in ArcGIS. The drone PS' relative accuracy was deemed acceptable for the purposes in Chapter II. Automated drone flight paths were used to collect nadir and angled aerial images with sufficient image overlap for SfM processing in Agisoft PhotoScan Professional. The PhotoScan-generated report includes additional details on the SfM processing workflow and on the drone products.<br>Please see Alexandra's dissertation (University of New Hampshire) for more information on the drone products and project.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13335875.v1
title: PS F (Chapter II, Evans Dissertation)

description: This is drone product set F from Chapter II of Alexandra's dissertation.<br>The orthomosaic and DSM show Beards Creek in Durham, NH, USA. The imagery was collected on July 11, 2018 using a DJI Phantom 3 Professional drone. Note that the elevation values are only reliable for examining relative topography across the site. The built-in drone GPS was used for georeferencing during SfM processing, and the EXIF data provided inaccurate altitude measurements. The XY locations are more reliable based on checks against alignment with base maps in ArcGIS. The drone PS' relative accuracy was deemed acceptable for the purposes in Chapter II. Automated drone flight paths were used to collect nadir and angled aerial images with sufficient image overlap for SfM processing in Agisoft PhotoScan Professional. The PhotoScan-generated report includes additional details on the SfM processing workflow and on the drone products.<br>Please see Alexandra's dissertation (University of New Hampshire) for more information on the drone products and project.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13341935
title: PS I (Chapter II, Evans Dissertation)

description: This is drone product set I from Chapter II of Alexandra's dissertation.<br>The orthomosaic and DSM show the Bellamy Reservoir in Dover, NH, USA. The imagery was collected on August 14, 2019 using a DJI Phantom 3 Professional drone. Note that the elevation values are only reliable for examining relative topography across the site. The built-in drone GPS was used for georeferencing during SfM processing, and the EXIF data provided inaccurate altitude measurements. The XY locations are more reliable based on checks against alignment with base maps in ArcGIS. The drone PS' relative accuracy was deemed acceptable for the purposes in Chapter II. Automated drone flight paths were used to collect nadir and angled aerial images with sufficient image overlap for SfM processing in Agisoft PhotoScan Professional. The PhotoScan-generated report includes additional details on the SfM processing workflow and on the drone products.<br>Please see Alexandra's dissertation (University of New Hampshire) for more information on the drone products and project.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.