cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4459390
title: qdgc South Sudan

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> <br> <br> The attributes for each table are:<br> <br> <br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4459389
title: qdgc South Sudan

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> <br> <br> The attributes for each table are:<br> <br> <br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4459392
title: qdgc Swaziland

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> <br> <br> The attributes for each table are:<br> <br> <br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4459391
title: qdgc Swaziland

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> <br> <br> The attributes for each table are:<br> <br> <br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.6084/m9.figshare.13633967
title: DRECE Study

description: The data and codes included in this collection belong to the DRECE project.<br>DRECE was designed in 1991 to know the real situation of the Spanish population upon the risk of developing cardiovascular diseases, based on the prevalence of risk factors and their relationship with dietary habits. A cohort of 4,679 people between 5 and 59 years old was included, stratified by sex and age, randomly selected throughout the national territory, both rural and urban. At baseline in 1991 a food frequency questionnaire was carried out, designed and validated for epidemiological studies in the Spanish population. Dietary information was categorized following the NOVA classification according to the extent of food processing.In this database you can find demographic characteristics, dietary data (nutritional characteristics and ultra-processed intake according to the NOVA classification) and mortality of the cohort.The code included in this collection aims to evaluate the association between ultra-processed food intake and all-cause mortality in a representative sample of Spanish population.A "read me" document is available with more detailed information.<br>
DOI: 10.6084/m9.figshare.13633967.v2
title: DRECE Study

description: The data and codes included in this collection belong to the DRECE project.<br>DRECE was designed in 1991 to know the real situation of the Spanish population upon the risk of developing cardiovascular diseases, based on the prevalence of risk factors and their relationship with dietary habits. A cohort of 4,679 people between 5 and 59 years old was included, stratified by sex and age, randomly selected throughout the national territory, both rural and urban. At baseline in 1991 a food frequency questionnaire was carried out, designed and validated for epidemiological studies in the Spanish population. Dietary information was categorized following the NOVA classification according to the extent of food processing.In this database you can find demographic characteristics, dietary data (nutritional characteristics and ultra-processed intake according to the NOVA classification) and mortality of the cohort.The code included in this collection aims to evaluate the association between ultra-processed food intake and all-cause mortality in a representative sample of Spanish population.A "read me" document is available with more detailed information.<br>
DOI: 10.5281/zenodo.4459404
title: 385 Solidity Smart Contracts for Solidity release 0.5

description: 385 Solidity Smart Contracts extracted from Etherscan. The Solidity release is the 0.5. Files are extracted from a Java crawler.
DOI: 10.5281/zenodo.4459403
title: 385 Solidity Smart Contracts for Solidity release 0.5

description: 385 Solidity Smart Contracts extracted from Etherscan. The Solidity release is the 0.5. Files are extracted from a Java crawler.
DOI: 10.6084/m9.figshare.12907646.v1
title: Different Effects of Target Reward Value and Saliency During Bumblebee Visual Search for Multiple Rewarding Targets: DATA

description: Data supporting the paper: "Different Effects of Target Reward Value and Saliency During Bumblebee Visual Search for Multiple Rewarding Targets"<br>
DOI: 10.34740/kaggle/dsv/1868131
title: Gufhtugu Publications Dataset Challenge
DOI: 10.6084/m9.figshare.12907646
title: Different effects of reward value and saliency during bumblebee visual search for multiple rewarding targets: DATA

description: Data supporting the paper: "Different effects of reward value and saliency during bumblebee visual search for multiple rewarding targets"<br>
DOI: 10.6084/m9.figshare.12907646.v2
title: Different Effects of Reward Value and Saliency During Bumblebee Visual Search for Multiple Rewarding Targets: DATA

description: Data supporting the paper: "Different Effects of Target Reward Value and Saliency During Bumblebee Visual Search for Multiple Rewarding Targets"<br>
DOI: 10.34740/kaggle/ds/1111101
title: Gufhtugu Publications Dataset Challenge
DOI: 10.5281/zenodo.4459424
title: Supplementary Appendix 1b of "Toward a geography of community health workers in Niger: a geospatial analysis"

description: Supplementary Appendix 1b contains Supplementary Appendices 2-6, Videos 1-2, and all output datasets at 100m resolution and 1000m resolution for the research article "Toward a geography of community health workers in Niger: a geospatial analysis" by Nicholas P. Oliphant, Nicolas Ray, Khaled Bensaid, Adama Ouedraogo, Asma Yaroh Gali, Oumarou Habi, Ibrahim Maazou, Rocco Panciera, Maria Muñiz, Zeynabu Sy, Debra Jackson, and Tanya Doherty. Files are available under the Creative Commons Attribution 4.0 International License. Tab "Readme" in the file "Supplementary Appendix 1b - Metadata" contains a description of all datasets contained in Supplementary Appendix 1b.
DOI: 10.34740/kaggle/dsv/1872140
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.5517/ccdc.csd.cc25n0vq
title: CCDC 2015243: Experimental Crystal Structure Determination

description: Related Article: Liang Ge, Huan Zhou, Mong-Feng Chiou, Heming Jiang, Wujun Jian, Changqing Ye, Xiaoyan Li, Xiaotao Zhu, Haigen Xiong, Yajun Li, Lijuan Song, Xinhao Zhang, and Hongli Bao
|2020|Nat. Catal.|4|28|doi:10.1038/s41929-020-00551-4
description: Related Article: liang ge|2020|CSD Communication|||
DOI: 10.6084/m9.figshare.12670856.v5
title: Eukdetect database genomes only

description: Eukdetect marker and taxonomy databases. Contains taxa from NCBI genomes, protist fungi & worms exclusively.
DOI: 10.6084/m9.figshare.13626812
title: EukDetect database

description: EukDetect database with fungi, protists, non-streptophyte archaeplastids, and non-vertebrate metazoans. 3,713 species represented. Data taken from genomes and from transcriptomes.
DOI: 10.6084/m9.figshare.13626812.v1
title: EukDetect database

description: EukDetect database with fungi, protists, non-streptophyte archaeplastids, and non-vertebrate metazoans. 3,713 species represented. Data taken from genomes and from transcriptomes.
DOI: 10.5281/zenodo.3831193
title: FT42 Savary Jeune (11) 11-key tenoroon: measurements, photos, endoscopic video

description: Dataset of FT42 Savary Jeune (11) 12-key tenoroon containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5281/zenodo.3241847
title: FT42 Savary Jeune (11) 11-key tenoroon: measurements, photos, endoscopic video

description: Dataset of FT42 Savary Jeune (11) 12-key tenoroon containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5281/zenodo.4459482
title: Supplementary data for "History and future of the Martian dynamo and implications of a hypothetical solid inner core"

description: This dataset contains the results of the calculations we carried out for the submitted manuscript titled "History and future of the Martian dynamo and implications of a hypothetical solid inner core". The data are organized into the following three groups: 1) radial_profiles; 2) histories; and 3) parameter_space_exploration. The first group, "radial_profiles", describes the radial density structure, and corresponding profiles of pressure, gravity, enclosed mass, and thermal expansivity for our simplified models of Earth and Mars. The second group, "histories", contains the results of our thermal evolution calculations for our reference Earth case and our five reference cases for Mars. For each case, there is a header file describing the input parameters, the derived parameters, and the contents of the accompanying tables of values. The third group, "parameter_space_exploration", contains the data that is partially illustrated in Figures 11-16, in which we show various outcomes across a wide range of multidimensional parameter space. All files are in ASCII format. Header files explain their contents in plain language and/or with reference to variables described in the paper. Data tables are tab-delimited.
DOI: 10.5281/zenodo.4459481
title: Supplementary data for "History and future of the Martian dynamo and implications of a hypothetical solid inner core"

description: This dataset contains the results of the calculations we carried out for the submitted manuscript titled "History and future of the Martian dynamo and implications of a hypothetical solid inner core". The data are organized into the following three groups: 1) radial_profiles; 2) histories; and 3) parameter_space_exploration. The first group, "radial_profiles", describes the radial density structure, and corresponding profiles of pressure, gravity, enclosed mass, and thermal expansivity for our simplified models of Earth and Mars. The second group, "histories", contains the results of our thermal evolution calculations for our reference Earth case and our five reference cases for Mars. For each case, there is a header file describing the input parameters, the derived parameters, and the contents of the accompanying tables of values. The third group, "parameter_space_exploration", contains the data that is partially illustrated in Figures 11-16, in which we show various outcomes across a wide range of multidimensional parameter space. All files are in ASCII format. Header files explain their contents in plain language and/or with reference to variables described in the paper. Data tables are tab-delimited.
DOI: 10.5281/zenodo.4459484
title: Oso to Corine Land cover dataset

description: Dataset used in the paper "Toward a yearly country-scale CORINE Land-Cover map without using images: a map translation approach".
DOI: 10.5281/zenodo.4459483
title: Oso to Corine Land cover dataset

description: Dataset used in the paper "Toward a yearly country-scale CORINE Land-Cover map without using images: a map translation approach".
DOI: 10.5517/ccdc.csd.cc11rq3m
title: CCDC 976100: Experimental Crystal Structure Determination

description: Related Article: Raoudha Soury, Marwa Chaabene, Mahjoub Jabli, Yoann Rousselin|2021|J.Solid State Chem.|295|121920|doi:10.1016/j.jssc.2020.121920
DOI: 10.5517/ccdc.csd.cc25hqxb
title: CCDC 2011122: Experimental Crystal Structure Determination

description: Related Article: Da-Wei Li, Xiao-Peng Deng, Xin He, Xiu-Yan Han, Yu-Fang Ma, Hui-Lian Huang, Zhen-Long Yu, Lei Feng, Chao Wang, Xiao-Chi Ma|2021|Phytochemistry|183|112593|doi:10.1016/j.phytochem.2020.112593
DOI: 10.5517/ccdc.csd.cc25hqyc
title: CCDC 2011123: Experimental Crystal Structure Determination

description: Related Article: Da-Wei Li, Xiao-Peng Deng, Xin He, Xiu-Yan Han, Yu-Fang Ma, Hui-Lian Huang, Zhen-Long Yu, Lei Feng, Chao Wang, Xiao-Chi Ma|2021|Phytochemistry|183|112593|doi:10.1016/j.phytochem.2020.112593
DOI: 10.5517/ccdc.csd.cc25l3c8
title: CCDC 2013399: Experimental Crystal Structure Determination

description: Related Article: Jennifer Zimara, Hendrik Stevens, Rainer Oswald, Serhiy Demeshko, Sebastian Dechert, Ricardo A. Mata, Franc Meyer, Dirk Schwarzer|2020|Inorg.Chem.|60|449|doi:10.1021/acs.inorgchem.0c03249
DOI: 10.5517/ccdc.csd.cc268hcc
title: CCDC 2033952: Experimental Crystal Structure Determination

description: Related Article: Ya Ling Fan, Hui Ping Zhang, Meng Jia Yin, Rajamani Krishna, Xue Feng Feng, Li Wang, Ming Biao Luo, Feng Luo|2020|Inorg.Chem.|60|4|doi:10.1021/acs.inorgchem.0c02893
DOI: 10.5517/ccdc.csd.cc26bdts
title: CCDC 2035795: Experimental Crystal Structure Determination

description: Related Article: Jianxin Ma, Yue Wang, Guocheng Liu, Na Xu, Xiuli Wang|2020|RSC Advances|10|44712|doi:10.1039/D0RA08991E
DOI: 10.5517/ccdc.csd.cc26c3zp
title: CCDC 2036482: Experimental Crystal Structure Determination

description: Related Article: Md. Tuhinur R. Joy, Nikhil C. Bhoumik, Shishir Ghosh, Michael G. Richmond, Shariff E. Kabir|2020|RSC Advances|10|44699|doi:10.1039/D0RA08783A
DOI: 10.5517/ccdc.csd.cc26c40r
title: CCDC 2036483: Experimental Crystal Structure Determination

description: Related Article: Md. Tuhinur R. Joy, Nikhil C. Bhoumik, Shishir Ghosh, Michael G. Richmond, Shariff E. Kabir|2020|RSC Advances|10|44699|doi:10.1039/D0RA08783A
DOI: 10.5517/ccdc.csd.cc26c41s
title: CCDC 2036484: Experimental Crystal Structure Determination

description: Related Article: Md. Tuhinur R. Joy, Nikhil C. Bhoumik, Shishir Ghosh, Michael G. Richmond, Shariff E. Kabir|2020|RSC Advances|10|44699|doi:10.1039/D0RA08783A
DOI: 10.5517/ccdc.csd.cc26c42t
title: CCDC 2036485: Experimental Crystal Structure Determination

description: Related Article: Md. Tuhinur R. Joy, Nikhil C. Bhoumik, Shishir Ghosh, Michael G. Richmond, Shariff E. Kabir|2020|RSC Advances|10|44699|doi:10.1039/D0RA08783A
DOI: 10.5517/ccdc.csd.cc26c43v
title: CCDC 2036486: Experimental Crystal Structure Determination

description: Related Article: Md. Tuhinur R. Joy, Nikhil C. Bhoumik, Shishir Ghosh, Michael G. Richmond, Shariff E. Kabir|2020|RSC Advances|10|44699|doi:10.1039/D0RA08783A
DOI: 10.5517/ccdc.csd.cc25hnn0
title: CCDC 2011052: Experimental Crystal Structure Determination

description: Related Article: Zhikai Qi, Yali Chen, Yao Guo, Xuelian Yang, Fu-Qiang Zhang, Guojun Zhou, Xian-Ming Zhang|2021|J.Mater.Chem.C|9|88|doi:10.1039/D0TC04731G