cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1yyhp2
title: CCDC 1815815: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyhq3
title: CCDC 1815816: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyhr4
title: CCDC 1815817: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyhs5
title: CCDC 1815818: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyht6
title: CCDC 1815819: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyhv7
title: CCDC 1815820: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyhw8
title: CCDC 1815821: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyhx9
title: CCDC 1815822: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyhyb
title: CCDC 1815823: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyhzc
title: CCDC 1815824: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyj0f
title: CCDC 1815825: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyj1g
title: CCDC 1815826: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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: 10.5281/zenodo.14515098
title: Hu-Sawicki growth rate fσ8 data

description: These data were used in the interpretable machine learning analysis in https://github.com/IndiraOcampo/Growth_LSS_model_selection_Lime.git and https://link.aps.org/doi/10.1103/PhysRevLett.134.041002

Aim: Train a Neural Networks (NNs) arquitecture on growth rate fσ8 data to perform model selection between two models: HS and ΛCDM. Consequently, extract information about the influence of each individual fσ8 data point (feature) over the final NNs output.

The current repository contains:



Simulated fσ8 data coming from both models (different sizes of datasets that go from 50 to 5000 realizations) for the Neural Networks analysis.

Data coming from an analysis of 50 data example instances (25 belonging to each model) using Lime, to explore the parameter neighbourhood influence over the output.
DOI: 10.5517/ccdc.csd.cc1yyj2h
title: CCDC 1815827: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1yyj3j
title: CCDC 1815828: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
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.cc1z7r0z
title: CCDC 1824691: Experimental Crystal Structure Determination

description: Related Article: M. di Giannantonio, L. Horvàrt, A. Crochet, B.S. Priscilla, K.M. Fromm|2024|CSD Communication|||
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.cc1z8bbx
title: CCDC 1825259: Experimental Crystal Structure Determination

description: Related Article: A. Holzheu, S.I. Vasylevskyi, A. Crochet, K.M. Fromm|2024|CSD Communication|||
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: 10.25318/4510002601-fra
title: Participation électorale aux dernières élections provinciales

description: Participation électorale aux dernières élections municipales, selon le sexe et le groupe d'âge, Canada et provinces, 2013.
DOI: 10.48338/vu01-tb73ix
title: Engaged Scholarship with Forced Migrants in South Africa

description: This dataset contains data collected by PhD candidate Miriam Ocadiz as part of the project Engaged Scholarship: Narratives of Change. The data was gathered in South Africa between 2020 and 2023 and informs five empirical chapters/articles.

In addition to the primary research data, the dataset includes consent forms, non-empirical drafts and articles, as well as drafts of non-academic outputs.
DOI: 10.5281/zenodo.13646592
title: Data From: Methane Emissions from Unplugged Abandoned Oil and Gas Wells in the Southeastern United States
DOI: 10.5281/zenodo.14827040
title: Data From: Methane Emissions from Unplugged Abandoned Oil and Gas Wells in the Southeastern United States
DOI: 10.5281/zenodo.13829664
title: Feature Template Angular Power Spectra

description: This data was used in the machine learning analysis of the Cosmic Microwave Background data in: https://github.com/IndiraOcampo/CMB_ML_based_model_selection.git and https://dx.doi.org/10.1088/1475-7516/2025/02/004

The objective is to train a neural network architecture on the different polarization modes (TT, TE, EE and joint) to perform model selection between the standard cosmological model, ΛCDM and a model that introduces a Feature Template (FT) in the primordial power spectrum - related to the early Universe physics.

The first row corresponds to the multipole moment "\ell" and the remaining ones correspond to the different components of the Cl's angular power spectrum, for the different values of A_lin (the feature oscilation parameter). While A_0 = 10^-2 is a reasonable value that still agrees with observations, A_0 = 0 corresponds to the ΛCDM model.

Finally, our aim is to apply SHAP to perform feature importance (interpretability) in our results.
DOI: 10.5281/zenodo.13829665
title: Feature Template Angular Power Spectra

description: This data was used in the machine learning analysis of the Cosmic Microwave Background data in: https://github.com/IndiraOcampo/CMB_ML_based_model_selection.git and https://dx.doi.org/10.1088/1475-7516/2025/02/004

The objective is to train a neural network architecture on the different polarization modes (TT, TE, EE and joint) to perform model selection between the standard cosmological model, ΛCDM and a model that introduces a Feature Template (FT) in the primordial power spectrum - related to the early Universe physics.

The first row corresponds to the multipole moment "\ell" and the remaining ones correspond to the different components of the Cl's angular power spectrum, for the different values of A_lin (the feature oscilation parameter). While A_0 = 10^-2 is a reasonable value that still agrees with observations, A_0 = 0 corresponds to the ΛCDM model.

Finally, our aim is to apply SHAP to perform feature importance (interpretability) in our results.
DOI: 10.25318/4310004101-eng
title: Immigrant income by world area, Saskatchewan, inactive

description: Immigrant income, by world area, sex, immigrant admission category, education qualifications, knowledge of official languages and landing year, for Saskatchewan, tax year 2015, annual.
DOI: 10.5281/zenodo.14833682
title: Outputs from Floating objects in the open ocean: unveiling modifications of the pelagic habitat induced by forest cover change and climate variations

description: These are the outputs obtained in 



Dupaix, A., Lengaigne, M., Andrello, M., Barrier, N., Dagorn, L., Gusmai, Q., Viennois, G., & Capello, M. (2024). Floating objects in the open ocean: Unveiling modifications of the pelagic habitat induced by forest cover change and climate variations. Global Environmental Change, 88, 102917. https://doi.org/10.1016/j.gloenvcha.2024.102917
DOI: 10.5281/zenodo.14833683
title: Outputs from Floating objects in the open ocean: unveiling modifications of the pelagic habitat induced by forest cover change and climate variations

description: These are the outputs obtained in 



Dupaix, A., Lengaigne, M., Andrello, M., Barrier, N., Dagorn, L., Gusmai, Q., Viennois, G., & Capello, M. (2024). Floating objects in the open ocean: Unveiling modifications of the pelagic habitat induced by forest cover change and climate variations. Global Environmental Change, 88, 102917. https://doi.org/10.1016/j.gloenvcha.2024.102917
DOI: 10.5281/zenodo.13828965
title: Hu-Sawicki Angular Power Spectra

description: This data was used in the machine learning analysis of the Cosmic Microwave Background data in: https://github.com/IndiraOcampo/CMB_ML_based_model_selection.git and https://dx.doi.org/10.1088/1475-7516/2025/02/004

The objective is to train a neural network architecture on the different polarization modes (TT, TE, EE and joint) to perform model selection between the standard cosmological model, ΛCDM and a modified gravity model, Hu-Sawicki f(R).

The first row corresponds to the multipole moment "\ell" and the remaining ones correspond to the different components of the Cl's angular power spectrum, for the different values of f_R0 (the MoG deviation parameter). While f_R0 = 10^-6 is a reasonable value that still agrees with observations, f_R0 = 0 corresponds to the ΛCDM model.

Finally, our aim is to apply SHAP to perform feature importance (interpretability) in our results.
DOI: 10.5281/zenodo.13828966
title: Hu-Sawicki Angular Power Spectra

description: This data was used in the machine learning analysis of the Cosmic Microwave Background data in: https://github.com/IndiraOcampo/CMB_ML_based_model_selection.git and https://dx.doi.org/10.1088/1475-7516/2025/02/004

The objective is to train a neural network architecture on the different polarization modes (TT, TE, EE and joint) to perform model selection between the standard cosmological model, ΛCDM and a modified gravity model, Hu-Sawicki f(R).

The first row corresponds to the multipole moment "\ell" and the remaining ones correspond to the different components of the Cl's angular power spectrum, for the different values of f_R0 (the MoG deviation parameter). While f_R0 = 10^-6 is a reasonable value that still agrees with observations, f_R0 = 0 corresponds to the ΛCDM model.

Finally, our aim is to apply SHAP to perform feature importance (interpretability) in our results.
DOI: 10.7916/d8tb1dmb
title:  Institutions Don't Rule: Direct Effects of Geography on Per Capita Income

description: Data on the direct effects of geography on per capita income, available as xls, do, and dta files.
DOI: 10.7916/d8mc8x0m
title:  Marilee Shapiro: Catalog of works

description: Marilee Shapiro was born in Chicago on November 17 1912. She graduated from the University of Chicago with a degree in philosophy in 1933 After her marriage to Bernard Shapiro in 1935 she discovered sculpture in 1937 in a WPA class in the basement of a local school. When Alexander Archipenko opened a teaching studio in Chicago in 1939 she enrolled and studied with him for two years. Having come to Washington with her family during WW2 she enrolled in classes at The American University continuing with sculpture and drawing. Her first one person show was of water colors at the Watkins Gallery of American University In Washington she was a member of the Franz Bader Gallery, Here in Washington there were many opportunities to show in juried shows in the Washington and Baltimore museums as well as the Corcoran Gallery of Art where she received an Honorable Mention in sculpture and a first prize for a painting from the Washington Society of Artists. She also was an etcher and began the use of photoshop to produce digital prints in the year 2000 when she was 88 years old followed in 2015 by beginning to work with photography up to the present time, 2016.
DOI: 10.7916/d8r49nxm
title:  Human pseudo exons, ~92000

description: A list of pseudo exon sequences that we have used in our research on pre-mRNA splicing. About 92000 human pseudo exons (upper case) with 100 nt of flanks upstream and downstream (lower case). Limited to pseudo exons of size 50 to 250 nt. Defined as having an acceptor site consensus value score of &gt;75 and a donor site with a consensus value score of &gt;78, based on the method of Shapiro and Senapathy (0 = worst possible score, 100 = best possible score). Extracted from databases from around 2007. Treated to remove highly related sequences.
DOI: 10.5281/zenodo.12531593
title: Supplementary Material for "Advancing quantum technology workforce: industry insights into qualification and training needs" and "Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles"

description: This is a file collection as supplementary material for the paper Advancing quantum technology workforce: industry insights into qualification and training needs, doi 10.1140/epjqt/s40507-024-00294-2. It consists of:



Interview guide: questions and more as guideline for the interviews conducted for the industry needs analysis documented in the publication.

Interview transcript extracts: anonymised phrases from the interviews that are given as quotes (in a shortened/liguistically smoothed out form) in the publication as well as further phrases that are refered in the results sections of the publication.

Dataset of the follow-up survey


The results of this study were also used to update the European Competence Framework for Quantum Technologies Version 2.5, which is documented in Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles, doi 10.1140/epjqt/s40507-024-00302-5. In an additional sheet, the three draft versions of qualification profile descriptions (v2.1, v2.2, v2.3) are provided.
DOI: 10.5281/zenodo.12531594
title: Supplementary Material for "Advancing quantum technology workforce: industry insights into qualification and training needs"

description: This is a file collection as supplementary material for the paper Advancing quantum technology workforce: industry insights into qualification and training needs. It consists of:



Interview guide: questions and more as guideline for the interviews conducted for the industry needs analysis documented in the publication.

Interview transcript extracts: anonymised phrases from the interviews that are given as quotes (in a shortened/liguistically smoothed out form) in the publication as well as further phrases that are refered in the results sections of the publication.

Dataset of the follow-up survey


The results of this study were also used to update the European Competence Framework for Quantum Technologies Version 2.5
DOI: 10.5281/zenodo.13907420
title: Supplementary Material for "Advancing quantum technology workforce: industry insights into qualification and training needs" and "Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles"

description: This is a file collection as supplementary material for the paper Advancing quantum technology workforce: industry insights into qualification and training needs. It consists of:



Interview guide: questions and more as guideline for the interviews conducted for the industry needs analysis documented in the publication.

Interview transcript extracts: anonymised phrases from the interviews that are given as quotes (in a shortened/liguistically smoothed out form) in the publication as well as further phrases that are refered in the results sections of the publication.

Dataset of the follow-up survey


The results of this study were also used to update the European Competence Framework for Quantum Technologies Version 2.5, which is documented in Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles. Data for this update are available in Version 3 of this repository.