cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e109305v1-11605
title: Teacher Math Anxiety Relates to Adolescent Students’ Math Achievement

description: This is the data package for the manuscript: Ramirez et al., 2019. https://doi.org/10.1177/2332858418756052<br><br>Abstract from Manuscript <br>Elementary school teachers’ math anxiety has been found to play a role in their students’ math achievement. The current study addresses the role of teacher math anxiety on ninth-grade students’ math achievement and the mediating factors underlying this relationship. Using data from the National Mindset Study, we find that higher teacher math anxiety is associated with lower math achievement. This relationship is partially mediated by the students’ perception that their teacher believes not everyone can be good at math and is not explainable by teachers’ usable knowledge to teach mathematics. In subsequent analyses, we find that higher teacher math anxiety relates to a reduction in process-oriented (as opposed to ability-oriented) teaching practices, which in turn predict students’ perception of teacher mindset. We argue that math anxious teachers and their use of particular teaching strategies have the potential to shape students’ math achievement and their perceptions of what their teacher believes about math.<br><br>
DOI: 10.25810/rxtv-eb29.13
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - April 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.5517/ccdc.csd.cc20wswl
title: CCDC 1873760: Experimental Crystal Structure Determination

description: Related Article: Kristof M. Altus, Eric G. Bowes, D. Dawson Beattie, Jennifer A. Love|2019|Organometallics|38|2273|doi:10.1021/acs.organomet.9b00195
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20wsxm
title: CCDC 1873761: Experimental Crystal Structure Determination

description: Related Article: Kristof M. Altus, Eric G. Bowes, D. Dawson Beattie, Jennifer A. Love|2019|Organometallics|38|2273|doi:10.1021/acs.organomet.9b00195
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20wt0r
title: CCDC 1873764: Experimental Crystal Structure Determination

description: Related Article: Kristof M. Altus, Eric G. Bowes, D. Dawson Beattie, Jennifer A. Love|2019|Organometallics|38|2273|doi:10.1021/acs.organomet.9b00195
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20wt1s
title: CCDC 1873765: Experimental Crystal Structure Determination

description: Related Article: Kristof M. Altus, Eric G. Bowes, D. Dawson Beattie, Jennifer A. Love|2019|Organometallics|38|2273|doi:10.1021/acs.organomet.9b00195
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d89rr
title: CCDC 2212524: Experimental Crystal Structure Determination

description: Related Article: yawen Gong|2022|CSD Communication|||
description: Related Article: Ben Ma, Yawen Gong, Yun’e Long, Zhiyong Chen, Yong Yuan, Jingya Yang|2024|J.Org.Chem.|89|1669|doi:10.1021/acs.joc.3c02361
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.25201709
title: GEP-Analysis Project: Film industry affiliation and adjacency matrices (UK)

description: These affiliation and adjacency matrices were used to produce the network analysis in the research project “GEP Analysis: Assessing, Understanding, and Modelling the Impact of Gender Equity Policies (GEP) in the Film Industry” (04/2021–03/2024) funded by the joint Open Research Area (ORA 6). It describes UK film creatives working on feature films between 2005 and 2020. We derive our network datasets from the GEP-Analysis key creatives dataset (see Prommer, Radziwill and Ehrich 2023). For a full technical Report describing the production of the network matrices and analysis see Jones, Dadlani and Verhoeven 2024. For the full Project Report see Loist et al (2024).<b>References</b>Jones, Pete, Aresh Dadlani, and Deb Verhoeven. 2024. “The Networks: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 43–66. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/394Loist, Skadi, Deb Verhoeven, Doris Ruth Eikhof, Elizabeth Prommer, Martha E. Ehrich, Pete Jones, Kevin Guyan, Amanda Coles, Sophie Radziwill, and Aresh Dadlani. 2024. <i>Re-Framing the Picture: An International Comparative Assessment of Gender Equity Policies in the Film Sector. </i>Full Report Gender Equity Policy (GEP) Analysis Project. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi. org/10.60529/390Prommer, Elizabeth, Sophie Radziwill, and Martha E. Ehrich. 2024. “The Numbers: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 34–42. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/393
DOI: 10.6084/m9.figshare.25201709.v1
title: GEP-Analysis Project: Film industry affiliation and adjacency matrices (UK)

description: These affiliation and adjacency matrices were used to produce the network analysis in the research project “GEP Analysis: Assessing, Understanding, and Modelling the Impact of Gender Equity Policies (GEP) in the Film Industry” (04/2021–03/2024) funded by the joint Open Research Area (ORA 6). It describes UK film creatives working on feature films between 2005 and 2020. We derive our network datasets from the GEP-Analysis key creatives dataset (see Prommer, Radziwill and Ehrich 2023). For a full technical Report describing the production of the network matrices and analysis see Jones, Dadlani and Verhoeven 2024. For the full Project Report see Loist et al (2024).<b>References</b>Jones, Pete, Aresh Dadlani, and Deb Verhoeven. 2024. “The Networks: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 43–66. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/394Loist, Skadi, Deb Verhoeven, Doris Ruth Eikhof, Elizabeth Prommer, Martha E. Ehrich, Pete Jones, Kevin Guyan, Amanda Coles, Sophie Radziwill, and Aresh Dadlani. 2024. <i>Re-Framing the Picture: An International Comparative Assessment of Gender Equity Policies in the Film Sector. </i>Full Report Gender Equity Policy (GEP) Analysis Project. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi. org/10.60529/390Prommer, Elizabeth, Sophie Radziwill, and Martha E. Ehrich. 2024. “The Numbers: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 34–42. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/393
DOI: 10.6084/m9.figshare.25194254
title: GEP-Analysis Project: Film industry affiliation and adjacency matrices (Germany)

description: These affiliation and adjacency matrices were used to produce the network analysis in the research project “GEP Analysis: Assessing, Understanding, and Modelling the Impact of Gender Equity Policies (GEP) in the Film Industry” (04/2021–03/2024) funded by the joint Open Research Area (ORA 6). It describes German film creatives working on feature films between 2005 and 2020. We derive our network datasets from the GEP-Analysis key creatives dataset (see Prommer, Radziwill and Ehrich 2023). For a full technical Report describing the production of the network matrices and analysis see Jones, Dadlani and Verhoeven 2024. For the full Project Report see Loist et al (2024).<b>References</b>Jones, Pete, Aresh Dadlani, and Deb Verhoeven. 2024. “The Networks: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 43–66. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/394Loist, Skadi, Deb Verhoeven, Doris Ruth Eikhof, Elizabeth Prommer, Martha E. Ehrich, Pete Jones, Kevin Guyan, Amanda Coles, Sophie Radziwill, and Aresh Dadlani. 2024. <i>Re-Framing the Picture: An International Comparative Assessment of Gender Equity Policies in the Film Sector. </i>Full Report Gender Equity Policy (GEP) Analysis Project. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi. org/10.60529/390Prommer, Elizabeth, Sophie Radziwill, and Martha E. Ehrich. 2024. “The Numbers: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 34–42. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/393
DOI: 10.6084/m9.figshare.25194254.v1
title: GEP-Analysis Project: Film industry affiliation and adjacency matrices (Germany)

description: These affiliation and adjacency matrices were used to produce the network analysis in the research project “GEP Analysis: Assessing, Understanding, and Modelling the Impact of Gender Equity Policies (GEP) in the Film Industry” (04/2021–03/2024) funded by the joint Open Research Area (ORA 6). It describes German film creatives working on feature films between 2005 and 2020. We derive our network datasets from the GEP-Analysis key creatives dataset (see Prommer, Radziwill and Ehrich 2023). For a full technical Report describing the production of the network matrices and analysis see Jones, Dadlani and Verhoeven 2024. For the full Project Report see Loist et al (2024).<b>References</b>Jones, Pete, Aresh Dadlani, and Deb Verhoeven. 2024. “The Networks: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 43–66. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/394Loist, Skadi, Deb Verhoeven, Doris Ruth Eikhof, Elizabeth Prommer, Martha E. Ehrich, Pete Jones, Kevin Guyan, Amanda Coles, Sophie Radziwill, and Aresh Dadlani. 2024. <i>Re-Framing the Picture: An International Comparative Assessment of Gender Equity Policies in the Film Sector. </i>Full Report Gender Equity Policy (GEP) Analysis Project. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi. org/10.60529/390Prommer, Elizabeth, Sophie Radziwill, and Martha E. Ehrich. 2024. “The Numbers: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 34–42. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/393
DOI: 10.5281/zenodo.10645497
title: [VISIR-2: input data for benchmark runs] OpenCPN

description: Bathymetric data, namelists, as well as current and wind fields needed for the VISIR-2 ship weather routing model benchmark run against OpenCPN.
description: The VISIR-2 source code can be downloaded from: https://zenodo.org/records/8305527
A preprint of the manuscript documenting the VISIR-2 model and its validation is found at: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2060/
DOI: 10.5281/zenodo.8206226
title: Alboran data

description: validation input data for VISIR-2
DOI: 10.5281/zenodo.8206733
title: Alboran data

description: validation input data for VISIR-2
DOI: 10.5281/zenodo.8213137
title: Alboran data

description: validation input data for VISIR-2
DOI: 10.5281/zenodo.8235972
title: Alboran data

description: validation input data for VISIR-2
DOI: 10.5281/zenodo.10645520
title: [VISIR-2: input data for benchmark runs] OpenCPN

description: Bathymetric data, namelists, as well as current and wind fields needed for the VISIR-2 ship weather routing model benchmark run against OpenCPN.
description: The VISIR-2 source code can be downloaded from: https://zenodo.org/records/8305527
A preprint of the manuscript documenting the VISIR-2 model and its validation is found at: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2060/
DOI: 10.5281/zenodo.8206225
title: [VISIR-2: input data for benchmark runs] OpenCPN

description: Bathymetric data, namelists, as well as current and wind fields needed for the VISIR-2 ship weather routing model benchmark run against OpenCPN.
description: The VISIR-2 source code can be downloaded from: https://zenodo.org/records/8305527
A preprint of the manuscript documenting the VISIR-2 model and its validation is found at: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2060/
DOI: 10.5281/zenodo.8206724
title: Alboran data

description: validation input data for VISIR-2
DOI: 10.5281/zenodo.8206781
title: Alboran data

description: validation input data for VISIR-2
DOI: 10.5281/zenodo.8305212
title: Alboran data

description: validation input data for VISIR-2
DOI: 10.5281/zenodo.8322465
title: [VISIR-2: input data for benchmark runs] OpenCPN

description: Bathymetric data, namelists, as well as current and wind fields needed for the VISIR-2 ship weather routing model benchmark run against OpenCPN.
description: The VISIR-2 source code can be downloaded from: https://zenodo.org/records/8305527
A preprint of the manuscript documenting the VISIR-2 model and its validation is found at: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2060/
DOI: 10.34740/kaggle/dsv/7603277
title: BBC News
DOI: 10.6084/m9.figshare.25194251
title: GEP-Analysis Project: Film industry affiliation and adjacency matrices (Canada)

description: These affiliation and adjacency matrices were used to produce the network analysis in the research project “GEP Analysis: Assessing, Understanding, and Modelling the Impact of Gender Equity Policies (GEP) in the Film Industry” (04/2021–03/2024) funded by the joint Open Research Area (ORA 6). It describes Canadian film creatives working on feature films between 2005 and 2020. We derive our network datasets from the GEP-Analysis key creatives dataset (see Prommer, Radziwill and Ehrich 2023). For a full technical Report describing the production of the network matrices and analysis see Jones, Dadlani and Verhoeven 2024. For the full Project Report see Loist et al (2024).<b>References</b>Jones, Pete, Aresh Dadlani, and Deb Verhoeven. 2024. “The Networks: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 43–66. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/394Loist, Skadi, Deb Verhoeven, Doris Ruth Eikhof, Elizabeth Prommer, Martha E. Ehrich, Pete Jones, Kevin Guyan, Amanda Coles, Sophie Radziwill, and Aresh Dadlani. 2024. <i>Re-Framing the Picture: An International Comparative Assessment of Gender Equity Policies in the Film Sector. </i>Full Report Gender Equity Policy (GEP) Analysis Project. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi. org/10.60529/390Prommer, Elizabeth, Sophie Radziwill, and Martha E. Ehrich. 2024. “The Numbers: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 34–42. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/393
DOI: 10.6084/m9.figshare.25194251.v1
title: GEP-Analysis Project: Film industry affiliation and adjacency matrices (Canada)

description: These affiliation and adjacency matrices were used to produce the network analysis in the research project “GEP Analysis: Assessing, Understanding, and Modelling the Impact of Gender Equity Policies (GEP) in the Film Industry” (04/2021–03/2024) funded by the joint Open Research Area (ORA 6). It describes Canadian film creatives working on feature films between 2005 and 2020. We derive our network datasets from the GEP-Analysis key creatives dataset (see Prommer, Radziwill and Ehrich 2023). For a full technical Report describing the production of the network matrices and analysis see Jones, Dadlani and Verhoeven 2024. For the full Project Report see Loist et al (2024).<b>References</b>Jones, Pete, Aresh Dadlani, and Deb Verhoeven. 2024. “The Networks: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 43–66. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/394Loist, Skadi, Deb Verhoeven, Doris Ruth Eikhof, Elizabeth Prommer, Martha E. Ehrich, Pete Jones, Kevin Guyan, Amanda Coles, Sophie Radziwill, and Aresh Dadlani. 2024. <i>Re-Framing the Picture: An International Comparative Assessment of Gender Equity Policies in the Film Sector. </i>Full Report Gender Equity Policy (GEP) Analysis Project. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi. org/10.60529/390Prommer, Elizabeth, Sophie Radziwill, and Martha E. Ehrich. 2024. “The Numbers: Technical Report for the GEP Analysis Project.” In <i>Technical Appendix of the Gender Equity Policy (GEP) Analysis Project Report “Re-Framing the Picture”</i>, edited by Skadi Loist and Martha E. Ehrich, 34–42. Potsdam: Film University Babelsberg KONRAD WOLF. https://doi.org/10.60529/393
DOI: 10.57710/alba-es-2023097821
title: Surface and bulk band structure of possible superconducting magnetic topological In-doped MnBi2Te4 compound

description: Recent discovery of intrinsic magnetic topological insulators (IMTI) creates new perspectives for quantum anomalous Hall, and axion phase. Moreover, inducing the superconductivity to IMTI would open the way for Majorana fermions and topological quantum computing. This project is devoted to the detailed investigation of the electronic structure of In-doped IMTI (Mn1-x, Inx)Bi2Te4 by means of ARPES, that is expected to be a first superconductive magnetic topological material. Obtained results will shed light on the complicated interplay of magnetism, topological states and superconductivity in one compound.
DOI: 10.6084/m9.figshare.25201748
title: MNase_seq_glucose

description: MNASe-seq data s.cereviase
DOI: 10.6084/m9.figshare.25201748.v1
title: MNase_seq_glucose

description: MNASe-seq data s.cereviase
DOI: 10.5281/zenodo.10456117
title: Densities derived from precise orbit determination of the Mars Odyssey and MRO satellites

description: This data set consist of daily mass densities derived from precise orbit determination of the Mars Reconnaissance Orbiter (MRO) satellite at 251 km and the Mars Odyssey (MO) satellite at 412 km. The data encompass 2006-2020 (MRO) and 2002-2020 (MO). Both satellites are in low-eccentricity near-polar day/night Sun-synchronous orbits. 

Also included are auxiliary data sets consisting of daily 10.7 cm solar radio fluxes adjusted to Mars orbit, and daily values of column dust optical depth from TES and THEMIS nadir observations integrated over all longitudes and between 0º and 90ºS latitude

More details are found in the README.txt file.

This data set is made available in connection with the following publication: 

Forbes, J.M., Bruinsma, S.L., Zhang, X., Marty, J.-C., Laurens, S. (2024). Long-term Variability of Mars’ Exosphere Density Based on Precise Orbital Analysis of Mars Reconnaissance Orbiter and Mars Odyssey. Geophysical Research Letters, 51. https://doi.org/10.1029/2023GL107044
DOI: 10.5281/zenodo.10456118
title: Densities derived from precise orbit determination of the Mars Odyssey and MRO satellites

description: This data set consist of daily mass densities derived from precise orbit determination of the Mars Reconnaissance Orbiter (MRO) satellite at 251 km and the Mars Odyssey (MO) satellite at 412 km. The data encompass 2006-2020 (MRO) and 2002-2020 (MO). Both satellites are in low-eccentricity near-polar day/night Sun-synchronous orbits. 

Also included are auxiliary data sets consisting of daily 10.7 cm solar radio fluxes adjusted to Mars orbit, and daily values of column dust optical depth from TES and THEMIS nadir observations integrated over all longitudes and between 0º and 90ºS latitude

More details are found in the README.txt file.

This data set is made available in connection with the following publication: 

Forbes, J.M., Bruinsma, S.L., Zhang, X., Marty, J.-C., Laurens, S. (2024). Long-term Variability of Mars’ Exosphere Density Based on Precise Orbital Analysis of Mars Reconnaissance Orbiter and Mars Odyssey. Geophysical Research Letters, 51. https://doi.org/10.1029/2023GL107044
DOI: 10.6084/m9.figshare.25201802
title: Yeast-gene-measurements

description: Yeast gene position levels
DOI: 10.6084/m9.figshare.25201802.v1
title: Yeast-gene-measurements

description: Yeast gene position levels
DOI: 10.6084/m9.figshare.25201850
title: Yeast_gene_positions

description: positions of yeast genes
DOI: 10.6084/m9.figshare.25201850.v1
title: Yeast_gene_positions

description: positions of yeast genes
DOI: 10.5517/ccdc.csd.cc2h09mg
title: CCDC 2294205: Experimental Crystal Structure Determination

description: Related Article: Ben Ma, Yawen Gong, Yun’e Long, Zhiyong Chen, Yong Yuan, Jingya Yang|2024|J.Org.Chem.|89|1669|doi:10.1021/acs.joc.3c02361
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.