cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28mz52
title: CCDC 2104564: Experimental Crystal Structure Determination

description: Related Article: Eva Cecilia Vargas-Olvera, Frank José Salas-Sánchez, Abraham Colin-Molina, Salvador Pérez-Estrada, Braulio Rodríguez-Molina, José Alejandre, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray, Herbert Höpfl|2022|Cryst.Growth Des.|22|570|doi:10.1021/acs.cgd.1c01140
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.cc28mz63
title: CCDC 2104565: Experimental Crystal Structure Determination

description: Related Article: Eva Cecilia Vargas-Olvera, Frank José Salas-Sánchez, Abraham Colin-Molina, Salvador Pérez-Estrada, Braulio Rodríguez-Molina, José Alejandre, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray, Herbert Höpfl|2022|Cryst.Growth Des.|22|570|doi:10.1021/acs.cgd.1c01140
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.cc28mz74
title: CCDC 2104566: Experimental Crystal Structure Determination

description: Related Article: Eva Cecilia Vargas-Olvera, Frank José Salas-Sánchez, Abraham Colin-Molina, Salvador Pérez-Estrada, Braulio Rodríguez-Molina, José Alejandre, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray, Herbert Höpfl|2022|Cryst.Growth Des.|22|570|doi:10.1021/acs.cgd.1c01140
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.7594707
title: Data supplement for the paper "An integrated computational strategy to predict personalized cancer drug combinations by reversing drug resistance signatures"

description: This dataset contains the the following data created for the paper "An integrated computational strategy to predict personalized cancer drug combinations by reversing drug resistance signatures". Data listing: Cell line-specific drug resistance signatures (CDRSR) Patient-specific drug resistance signatures (CTR-DB)
DOI: 10.5281/zenodo.7544002
title: Data supplement for the paper "An integrated computational strategy to predict personalized cancer drug combinations by reversing drug resistance signatures"

description: This dataset contains the the following data created for the paper "An integrated computational strategy to predict personalized cancer drug combinations by reversing drug resistance signatures". Data listing: Cell line-specific drug resistance signatures (CDRSR) Patient-specific drug resistance signatures (CTR-DB)
DOI: 10.5281/zenodo.7596918
title: Supplementary information files: Gene co-expression network and differential expression analyses of subcutaneous white adipose tissue reveal novel insights into the pathological mechanisms underlying ketosis in dairy cows

description: Supplementary information files: Gene co-expression network and differential expression analyses of subcutaneous white adipose tissue reveal novel insights into the pathological mechanisms underlying ketosis in dairy cows
DOI: 10.5281/zenodo.7596917
title: Supplementary information files: Gene co-expression network and differential expression analyses of subcutaneous white adipose tissue reveal novel insights into the pathological mechanisms underlying ketosis in dairy cows

description: Supplementary information files: Gene co-expression network and differential expression analyses of subcutaneous white adipose tissue reveal novel insights into the pathological mechanisms underlying ketosis in dairy cows
DOI: 10.6084/m9.figshare.21913158
title: ve_vals_multiple_sources_BA4_5.xlsx

description: Dataset for immunity from vaccinations and/or previous infection with COVID-19 omicron BA.4 or BA.5 strains. The immunity is for the outcomes acquisition (i.e. infection), symptoms, hospitalisation, critical care and death. Previous infection means previous infection with omicron BA.1 or BA.2 strains, not omicron wild type, alpha or delta. Sources for the data are listed in the sources sheet of the spreadsheet, and occasionally notes have been made in the sheet corresponding to each source if there was something that stood out in the sources worth mentioning. If data is added, then it should also be added to ve_vals if it is going to be used by the Google Colab / ipython notebook. The data should not be used without referring to the sources.
DOI: 10.6084/m9.figshare.21913158.v2
title: ve_vals_multiple_sources_BA4_5.xlsx

description: Dataset for immunity from vaccinations and/or previous infection with COVID-19 omicron BA.4 or BA.5 strains. The immunity is for the outcomes acquisition (i.e. infection), symptoms, hospitalisation, critical care and death. Previous infection means previous infection with omicron BA.1 or BA.2 strains, not omicron wild type, alpha or delta. Sources for the data are listed in the sources sheet of the spreadsheet, and occasionally notes have been made in the sheet corresponding to each source if there was something that stood out in the sources worth mentioning. If data is added, then it should also be added to ve_vals if it is going to be used by the Google Colab / ipython notebook. The data should not be used without referring to the sources.
DOI: 10.6084/m9.figshare.21913158.v1
title: ve_vals_multiple_sources_BA4_5.xlsx

description: Dataset for immunity from vaccinations and/or previous infection with COVID-19 omicron BA.1 or BA.2 strains. The immunity is for the outcomes acquisition (i.e. infection), symptoms, hospitalisation, critical care and death.
DOI: 10.5281/zenodo.7514850
title: Dataset for "Binary-coupling sparse Sachdev-Ye-Kitaev model: an improved model of quantum chaos and holography"

description: Spectral data for binary, unary and Gaussian-coupling, sparse and dense Sachdev-Ye-Kitaev model used for the publication. Directories are named by the number of Majorana fermions, and the coupling type (binary, Gaussian, unary) and the number of non-zero couplings are indicated in the file name. In each file, the computed eigenenergies are given in little-endian double-precision floating numbers, eight bytes for each eigenstate, in ascending order for each parity sector (even followed by odd) for each generated sample. Except for N = 32 and 34 where a single sample is given, each file contains 2^{24-(N/2)} samples, 131 072 for N = 14, 65 536 for N = 16, ..., and 512 for N = 30.
DOI: 10.5281/zenodo.7514849
title: Dataset for "Binary-coupling sparse Sachdev-Ye-Kitaev model: an improved model of quantum chaos and holography"

description: Spectral data for binary, unary and Gaussian-coupling, sparse and dense Sachdev-Ye-Kitaev model used for the publication. Directories are named by the number of Majorana fermions, and the coupling type (binary, Gaussian, unary) and the number of non-zero couplings are indicated in the file name. In each file, the computed eigenenergies are given in little-endian double-precision floating numbers, eight bytes for each eigenstate, in ascending order for each parity sector (even followed by odd) for each generated sample. Except for N = 32 and 34 where a single sample is given, each file contains 2^{24-(N/2)} samples, 131 072 for N = 14, 65 536 for N = 16, ..., and 512 for N = 30.
DOI: 10.6084/m9.figshare.21992651.v1
title: Ahuja_Lab_HIV_dataset_phen.csv

description: This file contains the phenotype characterstics of the corresponding gene expression dataset.
DOI: 10.5281/zenodo.7577174
title: Tower-based solar-induced fluorescence and vegetation index data for Southern Old Black Spruce forest

description: Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from September 2019-December 2020 at the Southern Old Black Spruce site in Saskatchewan Canada. We provide half-hourly averaged vegetation indices (NIRv, NDVI, PRI, CCI) and solar-induced fluorescence (SIF) and for a stand-representative mix of black spruce and larch. Additionally, we provide photosynthetically active radiation (PAR), absorbed photosynthetically active radiation (APAR), and the escape fraction of SIF photons (fesc). Version 2 also provides half-hourly averaged SIF and SIFrelative for black spruce (evergreen) and larch (deciduous) separately.
DOI: 10.5281/zenodo.7596931
title: Tower-based solar-induced fluorescence and vegetation index data for Southern Old Black Spruce forest

description: Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from September 2019-December 2020 at the Southern Old Black Spruce site in Saskatchewan Canada. We provide half-hourly averaged vegetation indices (NIRv, NDVI, PRI, CCI) and solar-induced fluorescence (SIF) and for a stand-representative mix of black spruce and larch. Additionally, we provide photosynthetically active radiation (PAR), absorbed photosynthetically active radiation (APAR), and the escape fraction of SIF photons (fesc). Version 2 also provides half-hourly averaged SIF and SIFrelative for black spruce (evergreen) and larch (deciduous) separately.
DOI: 10.5281/zenodo.5884642
title: Tower-based solar-induced fluorescence and vegetation index data for Southern Old Black Spruce forest

description: Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from September 2019-December 2020 at the Southern Old Black Spruce site in Saskatchewan Canada. We provide half-hourly averaged vegetation indices (NIRv, NDVI, PRI, CCI) and solar-induced fluorescence (SIF) and for a stand-representative mix of black spruce and larch. Additionally, we provide photosynthetically active radiation (PAR), absorbed photosynthetically active radiation (APAR), and the escape fraction of SIF photons (fesc). Version 2 also provides half-hourly averaged SIF and SIFrelative for black spruce (evergreen) and larch (deciduous) separately.
DOI: 10.6084/m9.figshare.21688340
title: Validation of the World Health Organization non-laboratory-based cardiovascular disease risk prediction model in 10 diverse regions of China, calculator of recalibration parameters.

description: Supplementary Materials of Yang S, Ding Y, Yu C, et al. WHO cardiovascular disease risk prediction model performance in 10 regions, China<strong>.</strong> <em><strong>Bulletin of the World Health Organization. </strong></em>Available online 1 February 2023. <br> Table I | Coefficients for predictor variables in the WHO non-laboratory-based model Table II | Calculator of recalibration parameters for the WHO non-laboratory-based model
DOI: 10.6084/m9.figshare.21688340.v2
title: Appendix 1

description: Supplementary Materials of Yang S, Ding Y, Yu C, et al. Validation of the World Health Organization non-laboratory-based cardiovascular disease risk prediction models in ten diverse regions of China<strong>.</strong> <em><strong>Bulletin of the World Health Organization</strong></em> (Accepted) <br> Table I | Coefficients for predictor variables in the WHO non-laboratory-based model Table II | Calculator of recalibration parameters for the WHO non-laboratory-based model
DOI: 10.34740/kaggle/dsv/4933889
title: OntoUML/UFO Catalog
DOI: 10.5281/zenodo.7596942
title: Chemical compositions of PM1 and PM2.5 collected online at PKUERS site in Beijing during three seasons from 2016 to 2018

description: This dataset provides the chemical composition of PM<sub>1</sub> and PM<sub>2.5 </sub>measured in urban Beijing. The sampling site is PKUERS which is located on the campus of Peking University. The dataset was collected by an online aerosol mass spectrometer covering three seasons (early autumn, winter, and spring) from 2016 to 2018.
DOI: 10.5281/zenodo.7596941
title: Chemical compositions of PM1 and PM2.5 collected online at PKUERS site in Beijing during three seasons from 2016 to 2018

description: This dataset provides the chemical composition of PM<sub>1</sub> and PM<sub>2.5 </sub>measured in urban Beijing. The sampling site is PKUERS which is located on the campus of Peking University. The dataset was collected by an online aerosol mass spectrometer covering three seasons (early autumn, winter, and spring) from 2016 to 2018.
DOI: 10.5281/zenodo.7596955
title: Martian BS crossing_MAVEN_V1

description: The database is provided by the Institute of Space Weather, Nanjing University of Information Science and Technology, Nanjing, PR China.<br> If you have any questions, please contact us at suihaoyang1998@163.com. The dataset has 5 columns and 10,283 rows, recording the time and location of 10,283 Mars bow shock crossings. The locations of crossings are all calculated in the MSO coordinate system.<br>
DOI: 10.5281/zenodo.7596954
title: Martian BS crossing_MAVEN_V1

description: The database is provided by the Institute of Space Weather, Nanjing University of Information Science and Technology, Nanjing, PR China.<br> If you have any questions, please contact us at suihaoyang1998@163.com. The dataset has 5 columns and 10,283 rows, recording the time and location of 10,283 Mars bow shock crossings. The locations of crossings are all calculated in the MSO coordinate system.<br>
DOI: 10.6084/m9.figshare.21992765
title: Nick_Golding_VE_dataset_omicron_BA12

description: A dataset containing values of vaccine effectiveness over the course of a year based off of a model of waning immunity due to anitbodies (immunogloblin, ignoring other types of immune cells) and fit to data. The model was made by Nick Golding and can be found at https://github.com/goldingn/neuts2efficacy The model is based off of work done by Khoury et. al and can be found at https://www.nature.com/articles/s41591-021-01377-8 <br> This particular dataset was run for omicron when only the BA.1 and BA.2 strains were around. We recommend you do not use the model results directly if trying to determing immunity, since the model is only based on one sort of immune cell while other cells provide longer-lasting protection against severe disease.
DOI: 10.6084/m9.figshare.21992765.v1
title: Nick_Golding_VE_dataset_omicron_BA12

description: A dataset containing values of vaccine effectiveness over the course of a year based off of a model of waning immunity due to anitbodies (immunogloblin, ignoring other types of immune cells) and fit to data. The model was made by Nick Golding and can be found at https://github.com/goldingn/neuts2efficacy The model is based off of work done by Khoury et. al and can be found at https://www.nature.com/articles/s41591-021-01377-8 <br> This particular dataset was run for omicron when only the BA.1 and BA.2 strains were around. We recommend you do not use the model results directly if trying to determing immunity, since the model is only based on one sort of immune cell while other cells provide longer-lasting protection against severe disease.
DOI: 10.6084/m9.figshare.21992699
title: Nick_Golding_VE_dataset_omicron_BA45

description: A dataset containing values of vaccine effectiveness over the course of a year based off of a model of waning immunity due to anitbodies (immunogloblin, ignoring other types of immune cells) and fit to data. The model was made by Nick Golding and can be found at https://github.com/goldingn/neuts2efficacy The model is based off of work done by Khoury et. al and can be found at https://www.nature.com/articles/s41591-021-01377-8 <br> This particular dataset was run for omicron BA.4 and BA.5 strains. We recommend you do not use the model results directly if trying to determing immunity, since the model is only based on one sort of immune cell while other cells provide longer-lasting protection against severe disease.
DOI: 10.6084/m9.figshare.21992699.v2
title: Nick_Golding_VE_dataset_omicron_BA45

description: A dataset containing values of vaccine effectiveness over the course of a year based off of a model of waning immunity due to anitbodies (immunogloblin, ignoring other types of immune cells) and fit to data. The model was made by Nick Golding and can be found at https://github.com/goldingn/neuts2efficacy The model is based off of work done by Khoury et. al and can be found at https://www.nature.com/articles/s41591-021-01377-8 <br> This particular dataset was run for omicron BA.4 and BA.5 strains. We recommend you do not use the model results directly if trying to determing immunity, since the model is only based on one sort of immune cell while other cells provide longer-lasting protection against severe disease.
DOI: 10.6084/m9.figshare.21992699.v1
title: Nick_Golding_omicron_BA45

description: A dataset containing values of vaccine effectiveness over the course of a year based off of a model of waning immunity due to anitbodies (immunogloblin, ignoring other types of immune cells) and fit to data. The model was made by Nick Golding and can be found at https://github.com/goldingn/neuts2efficacy The model is based off of work done by Khoury et. al and can be found at https://www.nature.com/articles/s41591-021-01377-8 <br> This particular dataset was run for omicron BA.4 and BA.5 strains. We recommend you do not use the model results directly if trying to determing immunity, since the model is only based on one sort of immune cell while other cells provide longer-lasting protection against severe disease.
DOI: 10.6084/m9.figshare.21913161
title: ve_vals_multiple_sources.xlsx

description: A way of collecting various data sources from different papers into one spreadsheet. The data in question are measures of immune protection against COVID-19, omicron BA.1 and BA.2 variants. The protection is against acquisition, transmission, hospitalisation, death and critical care. Immunity comes from vaccinations and from previous infection. <br> A seperate spreadsheet contains values for variants BA.4 and BA.5 where previous infection is considered to be infection with BA.1 and BA.2 variants. <br> References are listed in the spreadsheet.
DOI: 10.6084/m9.figshare.21913161.v1
title: ve_vals_multiple_sources.xlsx

description: A way of collecting various data sources from different papers into one spreadsheet. The data in question are measures of immune protection against COVID-19, omicron BA.1 and BA.2 variants. The protection is against acquisition, transmission, hospitalisation, death and critical care. Immunity comes from vaccinations and from previous infection. <br> A seperate spreadsheet contains values for variants BA.4 and BA.5 where previous infection is considered to be infection with BA.1 and BA.2 variants. <br> References are listed in the spreadsheet.
DOI: 10.26188/21992852
title: Submitted Consensus Genomes

description: Consensus genomes submitted by participants for the RCPAQAP 2021 SARS-CoV-2 WGS PTP
DOI: 10.26188/21992852.v1
title: Submitted Consensus Genomes

description: Consensus genomes submitted by participants for the RCPAQAP 2021 SARS-CoV-2 WGS PTP
DOI: 10.26188/21992417
title: Supplementary Materials

description: Supplementary materials for the manuscript "Bioinformatic investigation of discordant sequence data for SARS-CoV-2: insights for robust genomic analysis during pandemic surveillance".
DOI: 10.26188/21992417.v1
title: Supplementary Materials

description: Supplementary materials for the manuscript "Bioinformatic investigation of discordant sequence data for SARS-CoV-2: insights for robust genomic analysis during pandemic surveillance".
DOI: 10.5517/ccdc.csd.cc28mz85
title: CCDC 2104567: Experimental Crystal Structure Determination

description: Related Article: Eva Cecilia Vargas-Olvera, Frank José Salas-Sánchez, Abraham Colin-Molina, Salvador Pérez-Estrada, Braulio Rodríguez-Molina, José Alejandre, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray, Herbert Höpfl|2022|Cryst.Growth Des.|22|570|doi:10.1021/acs.cgd.1c01140
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.cc28mz96
title: CCDC 2104568: Experimental Crystal Structure Determination

description: Related Article: Eva Cecilia Vargas-Olvera, Frank José Salas-Sánchez, Abraham Colin-Molina, Salvador Pérez-Estrada, Braulio Rodríguez-Molina, José Alejandre, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray, Herbert Höpfl|2022|Cryst.Growth Des.|22|570|doi:10.1021/acs.cgd.1c01140
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.cc28n00z
title: CCDC 2104590: Experimental Crystal Structure Determination

description: Related Article: Mohamed Essalhi, Midhun Mohan, Nour Dissem, Najmeddine Ferhi, Adela Abidi, Thierry Maris, Adam Duong|2023|Inorg.Chem.Front.|10|1037|doi:10.1039/D2QI02208G
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.cc28ncq1
title: CCDC 2104953: Experimental Crystal Structure Determination

description: Related Article: Mirosław Mączka, Dagmara Stefańska, Anna Gągor, Adam Pikul|2022|Dalton Trans.|51|352|doi:10.1039/D1DT03382D
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.cc28ncr2
title: CCDC 2104954: Experimental Crystal Structure Determination

description: Related Article: Mirosław Mączka, Dagmara Stefańska, Anna Gągor, Adam Pikul|2022|Dalton Trans.|51|352|doi:10.1039/D1DT03382D
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.cc28pn9y
title: CCDC 2106180: Experimental Crystal Structure Determination

description: Related Article: Zhicun Feng, Suhang Chen, Yanan Li, Haixia Ma, Kangzhen Xu|2022|Cryst.Growth Des.|22|513|doi:10.1021/acs.cgd.1c01112
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.