cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5034742
title: Replication Data for: "Copularity of French and Dutch (semi-)copular constructions: a behavioral profile analysis"

description: This data package contains all the data relevant to reproduce the results presented in the publication "Copularity of French and Dutch (semi-)copular constructions: a behavioral profile analysis".
DOI: 10.6084/m9.figshare.3761562.v1992
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.34740/kaggle/dsv/2649831
title: Italy's PNRR - funding and coverage
DOI: 10.5519/qd.xuisjon9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (363 records)
DOI: 10.34740/kaggle/dsv/2649853
title: League of Legends - 1.000.000+ Master+ Match IDs
DOI: 10.6084/m9.figshare.16680943
title: Individual responses to Error Orientation Questionnaire

description: Factor summated scores corresponding to workers in six plangts of Peruvian gas bottling company<br>
DOI: 10.6084/m9.figshare.16680943.v1
title: Individual responses to Error Orientation Questionnaire

description: Factor summated scores corresponding to workers in six plangts of Peruvian gas bottling company<br>
DOI: 10.5281/zenodo.5528318
title: Exploring transparency in peer review: A study describing the content and tone of reviewers' confidential comments to editors

description: This data set was created to conduct - Exploring transparency in peer review: A study describing the content and tone of reviewers’ confidential comments to editors. Prior to data collection, the study received ethical approval the Dutch Association for Medical Education Ethics Review Board. A preprint of the study is available on bioRxiv. Purpose: Recent calls to improve transparency in peer review have prompted examination of many aspects of the peer review process. Confidential comments to editors are a common component of many peer review systems that have clear implications for transparency, yet how reviewers use this component has escaped scrutiny in the published literature. Our study explores 1) how reviewers use the confidential comments section and 2) the alignment between comments to the editor and comments to authors with respect to content and tone. Methods: Our dataset consisted of 358 reviews of 168 manuscripts submitted between January 1, 2019 and August 24, 2020 to a top tier health professions education journal with a single blind review process. We first examined each review to determine whether the reviewer entered comments to the editor. Then, for the subset of reviews with comments, we used procedures consistent with conventional and directed qualitative content analysis to develop a coding scheme and code comments for content, tone, and section of the manuscript. For reviews in which the reviewer recommended reject, we coded for alignment between reviewers’ comments to the editor and to authors. We report descriptive statistics. Results: Nearly half of the reviews contained comments to the editor (49%). Most of these comments (n=176) summarized the reviewers’ impression of the article (85%), which could include explicit reference to their recommended decision (44%) or comments on suitability for the journal (10%). The majority of comments addressed the quality of the argument (56%) or research design, methods, or data (51%). The tone of comments to the editor tended to be critical (40%) or constructive (34%). For the 48 reviews recommending reject, the majority of comments to editor contained content that also appeared in comments to the authors (65%); additional content tended to be irrelevant to the manuscript. Tone frequently aligned (85%). Conclusion: Our findings indicate variability in how reviewers use the confidential comments to editor section in online peer review systems, though generally the way they use them suggests integrity and transparency to authors.
description: On September 25, we updated this data set to include the publication type, reviewer decision and final decision for each manuscript. We have also changed the file format to .CSV in accordance with FAIR data principles.
DOI: 10.5281/zenodo.5128723
title: Exploring transparency in peer review: A study describing the content and tone of reviewers' confidential comments to editors

description: This data set was created to conduct - Exploring transparency in peer review: A study describing the content and tone of reviewers’ confidential comments to editors. Prior to data collection, the study received ethical approval the Dutch Association for Medical Education Ethics Review Board. A preprint of the study is available on bioRxiv. Purpose: Recent calls to improve transparency in peer review have prompted examination of many aspects of the peer review process. Confidential comments to editors are a common component of many peer review systems that have clear implications for transparency, yet how reviewers use this component has escaped scrutiny in the published literature. Our study explores 1) how reviewers use the confidential comments section and 2) the alignment between comments to the editor and comments to authors with respect to content and tone. Methods: Our dataset consisted of 358 reviews of 168 manuscripts submitted between January 1, 2019 and August 24, 2020 to a top tier health professions education journal with a single blind review process. We first examined each review to determine whether the reviewer entered comments to the editor. Then, for the subset of reviews with comments, we used procedures consistent with conventional and directed qualitative content analysis to develop a coding scheme and code comments for content, tone, and section of the manuscript. For reviews in which the reviewer recommended reject, we coded for alignment between reviewers’ comments to the editor and to authors. We report descriptive statistics. Results: Nearly half of the reviews contained comments to the editor (49%). Most of these comments (n=176) summarized the reviewers’ impression of the article (85%), which could include explicit reference to their recommended decision (44%) or comments on suitability for the journal (10%). The majority of comments addressed the quality of the argument (56%) or research design, methods, or data (51%). The tone of comments to the editor tended to be critical (40%) or constructive (34%). For the 48 reviews recommending reject, the majority of comments to editor contained content that also appeared in comments to the authors (65%); additional content tended to be irrelevant to the manuscript. Tone frequently aligned (85%). Conclusion: Our findings indicate variability in how reviewers use the confidential comments to editor section in online peer review systems, though generally the way they use them suggests integrity and transparency to authors.
description: On September 25, we updated this data set to include the publication type, reviewer decision and final decision for each manuscript. We have also changed the file format to .CSV in accordance with FAIR data principles.
DOI: 10.5517/ccdc.csd.cc24p073
title: CCDC 1986394: Experimental Crystal Structure Determination

description: Related Article: Chaopeng Hu, Jianying Zhang, Hao Yang, Lulu Guo, Chunming Cui|2021|Inorg.Chem.|60|14038|doi:10.1021/acs.inorgchem.1c01314
DOI: 10.5517/ccdc.csd.cc24p084
title: CCDC 1986395: Experimental Crystal Structure Determination

description: Related Article: Chaopeng Hu, Jianying Zhang, Hao Yang, Lulu Guo, Chunming Cui|2021|Inorg.Chem.|60|14038|doi:10.1021/acs.inorgchem.1c01314
DOI: 10.5517/ccdc.csd.cc24p095
title: CCDC 1986396: Experimental Crystal Structure Determination

description: Related Article: Chaopeng Hu, Jianying Zhang, Hao Yang, Lulu Guo, Chunming Cui|2021|Inorg.Chem.|60|14038|doi:10.1021/acs.inorgchem.1c01314
DOI: 10.5517/ccdc.csd.cc24p0b6
title: CCDC 1986397: Experimental Crystal Structure Determination

description: Related Article: Chaopeng Hu, Jianying Zhang, Hao Yang, Lulu Guo, Chunming Cui|2021|Inorg.Chem.|60|14038|doi:10.1021/acs.inorgchem.1c01314
DOI: 10.5517/ccdc.csd.cc26t9ly
title: CCDC 2050110: Experimental Crystal Structure Determination

description: Related Article: Alice Johnson, Cameron G. Royle, Claire N. Brodie, Antonio J. Martínez-Martínez, Simon B. Duckett, Andrew S. Weller|2021|Inorg.Chem.|60|13903|doi:10.1021/acs.inorgchem.0c03687
DOI: 10.5517/ccdc.csd.cc26t9mz
title: CCDC 2050111: Experimental Crystal Structure Determination

description: Related Article: Alice Johnson, Cameron G. Royle, Claire N. Brodie, Antonio J. Martínez-Martínez, Simon B. Duckett, Andrew S. Weller|2021|Inorg.Chem.|60|13903|doi:10.1021/acs.inorgchem.0c03687
DOI: 10.5517/ccdc.csd.cc26t9n0
title: CCDC 2050112: Experimental Crystal Structure Determination

description: Related Article: Alice Johnson, Cameron G. Royle, Claire N. Brodie, Antonio J. Martínez-Martínez, Simon B. Duckett, Andrew S. Weller|2021|Inorg.Chem.|60|13903|doi:10.1021/acs.inorgchem.0c03687
DOI: 10.5517/ccdc.csd.cc26t9q2
title: CCDC 2050114: Experimental Crystal Structure Determination

description: Related Article: Alice Johnson, Cameron G. Royle, Claire N. Brodie, Antonio J. Martínez-Martínez, Simon B. Duckett, Andrew S. Weller|2021|Inorg.Chem.|60|13903|doi:10.1021/acs.inorgchem.0c03687
DOI: 10.5517/ccdc.csd.cc26t9p1
title: CCDC 2050113: Experimental Crystal Structure Determination

description: Related Article: Alice Johnson, Cameron G. Royle, Claire N. Brodie, Antonio J. Martínez-Martínez, Simon B. Duckett, Andrew S. Weller|2021|Inorg.Chem.|60|13903|doi:10.1021/acs.inorgchem.0c03687
DOI: 10.25345/c5jp0c
title: MassIVE Reanalysis RMSV000000256.106 - CCMS ProteoCarta MS-GF+ reanalysis of Bifidobacterium bifidum ATCC29521 from DeNovo Peptide Identification Deep Learning Training Set, Clone of f1105cb7b38a4508808476b3d56f69b0 except as ccms
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bifidobacterium bifidum ATCC29521 (MSV000083150/PXD010000).
DOI: 10.6084/m9.figshare.16569522
title: Spore viability in tubes

description: Viability of myrtle rust urediniospores in tubes placed in hives for nine days.<br>Key to variable names & types:<br>round -- sampling round ID (categorical)day -- sample age (days) (integer)site -- site ID (categorical)germinated -- number of spores which germinated (integer)non_germinated -- number of spores which did not germinate (integer)<br>
DOI: 10.6084/m9.figshare.16569522.v1
title: Spore viability in tubes

description: Viability of myrtle rust urediniospores in tubes placed in hives for nine days.<br>Key to variable names & types:<br>round -- sampling round ID (categorical)day -- sample age (days) (integer)site -- site ID (categorical)germinated -- number of spores which germinated (integer)non_germinated -- number of spores which did not germinate (integer)<br>
DOI: 10.6084/m9.figshare.16569501
title: Spore viability in washes

description: Viability of myrtle rust urediniospores on caged western honey bees placed in hives for nine days.<br>Key to variable names & types:<br>round -- sampling round ID (categorical)day -- sample age (days) (integer)site -- site ID (categorical)germinated -- number of spores which germinated (integer)non_germinated -- number of spores which did not germinate (integer)<br>
DOI: 10.6084/m9.figshare.16569501.v1
title: Spore viability in washes

description: Viability of myrtle rust urediniospores on caged western honey bees placed in hives for nine days.<br>Key to variable names & types:<br>round -- sampling round ID (categorical)day -- sample age (days) (integer)site -- site ID (categorical)germinated -- number of spores which germinated (integer)non_germinated -- number of spores which did not germinate (integer)<br>
DOI: 10.6084/m9.figshare.16569372
title: Amino acid content

description: Content of ten amino acids essential to western honey bees in different diet types.<br>Key to variable names & types:<br>amino -- amino acid (categorical)treatment -- diet type (categorical)conc -- concentration (%) (numerical)<br>
DOI: 10.6084/m9.figshare.16569372.v1
title: Amino acid content

description: Content of ten amino acids essential to western honey bees in different diet types.<br>Key to variable names & types:<br>amino -- amino acid (categorical)treatment -- diet type (categorical)conc -- concentration (%) (numerical)<br>
DOI: 10.6084/m9.figshare.16569369
title: Larval survival and mortality

description: Survival and mortality of western honey bee larvae fed different diets.<br>Key to variable names & types:<br>colony -- colony ID (categorical)plate -- test plate ID (categorical)treatment -- diet type (categorical)survived -- number of larvae that survived (integer)died -- number of larvae that died (integer)<br>
DOI: 10.6084/m9.figshare.16569369.v1
title: Larval survival and mortality

description: Survival and mortality of western honey bee larvae fed different diets.<br>Key to variable names & types:<br>colony -- colony ID (categorical)plate -- test plate ID (categorical)treatment -- diet type (categorical)survived -- number of larvae that survived (integer)died -- number of larvae that died (integer)<br>
DOI: 10.6084/m9.figshare.16557609
title: Dry weight of emerged bees

description: Dry weight of western honey bees emerged from larvae fed different diets.<br>Key to variable names & types:<br>colony -- colony ID (categorical)plate -- test plate ID (categorical)number -- larva ID (categorical)treatment -- diet type (categorical)fresh -- fresh weight (g) (numerical)<br>
DOI: 10.6084/m9.figshare.16557453
title: Fresh weight of emerged bees

description: Fresh weight of western honey bees emerged from larvae fed different diets.<br>Key to variable names & types:<br>colony -- colony ID (categorical)plate -- test plate ID (categorical)number -- larva ID (categorical)treatment -- diet type (categorical)fresh -- fresh weight (g) (numerical)<br>
DOI: 10.6084/m9.figshare.16557453.v1
title: Fresh weight of emerged bees

description: Fresh weight of western honey bees emerged from larvae fed different diets.<br>Key to variable names & types:<br>colony -- colony ID (categorical)plate -- test plate ID (categorical)number -- larva ID (categorical)treatment -- diet type (categorical)fresh -- fresh weight (g) (numerical)<br>
DOI: 10.21227/wemz-e742
title: HACKATHON: BIOINFORMATICS, SINGLE CELL SEQUENCING

description: Classification of COVID-19 severity using scRNA-SeqIdentification of molecular signatures of severity of COVID-19 infection has become of outmost importance for early treatment of this pandemic disease. For this the use of single-cell RNA sequencing (scRNA-Seq) makes possible to identify and quantify thousands of genes within thousands of cells. In this context, scRNA-Seq technology have called for novel artificial intelligence (AI) solutions for data analysis and medical application. The present challenge consists in the application of an AI algorithm to predict severity of COVID-19 infection using a scRNA-Seq dataset.
DOI: 10.21227/hwq4-n214
title: Wide-area Sentinel-1 SAR mosaics patches

description: Here, a dataset used in manuscript "Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models" will be published when the manuscript is accepted to IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing. The data contains preprocessed SAr backscatter intensities within imageletes sampled from several wide-SAR SAR mosaics compiled from all summer Sentinel-1A images of 2018 acquired over Finland.
DOI: 10.25345/c5dv7h
title: MassIVE Reanalysis RMSV000000256.107 - CCMS ProteoCarta MS-GF+ reanalysis of Alcaligenes faecalis from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Alcaligenes faecalis (MSV000083150/PXD010000).
DOI: 10.25345/c5955x
title: MassIVE Reanalysis RMSV000000256.108 - CCMS ProteoCarta MS-GF+ reanalysis of Agrobacterium tumefaciens IAM 12048 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Agrobacterium tumefaciens IAM 12048 (MSV000083150/PXD010000).
DOI: 10.25345/c55c2m
title: MassIVE Reanalysis RMSV000000256.109 - CCMS ProteoCarta MS-GF+ reanalysis of Algoriphagus marincola HL-49 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Algoriphagus marincola HL-49 (MSV000083150/PXD010000).
DOI: 10.25345/c51p0q
title: MassIVE Reanalysis RMSV000000256.112 - CCMS ProteoCarta MS-GF+ reanalysis of Bacillus cereus ATCC14579 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacillus cereus ATCC14579 (MSV000083150/PXD010000).
DOI: 10.25345/c5wv7v
title: MassIVE Reanalysis RMSV000000256.110 - CCMS ProteoCarta MS-GF+ reanalysis of Anaerococcus hydrogenalis DSM 7454 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Anaerococcus hydrogenalis DSM 7454 (MSV000083150/PXD010000).
DOI: 10.25345/c5s558
title: MassIVE Reanalysis RMSV000000256.111 - CCMS ProteoCarta MS-GF+ reanalysis of Bacillus subtilis 168 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacillus subtilis 168 (MSV000083150/PXD010000).
DOI: 10.25345/c5nc3b
title: MassIVE Reanalysis RMSV000000256.113 - CCMS ProteoCarta MS-GF+ reanalysis of Bifidobacterium longum infantis ATCC15697 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bifidobacterium longum infantis ATCC15697 (MSV000083150/PXD010000).
DOI: 10.25345/c5hp02
title: MassIVE Reanalysis RMSV000000256.114 - CCMS ProteoCarta MS-GF+ reanalysis of Bacillus subtilis NCIB3610 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacillus subtilis NCIB3610 (MSV000083150/PXD010000).
DOI: 10.25345/c5cv8k
title: MassIVE Reanalysis RMSV000000256.117 - CCMS ProteoCarta MS-GF+ reanalysis of Cellulomonas gilvus ATCC13127 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Cellulomonas gilvus ATCC13127 (MSV000083150/PXD010000).
DOI: 10.25345/c54g1z
title: MassIVE Reanalysis RMSV000000256.116 - CCMS ProteoCarta MS-GF+ reanalysis of Bacteroides fragilis 638R from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacteroides fragilis 638R (MSV000083150/PXD010000).
DOI: 10.25345/c5855m
title: MassIVE Reanalysis RMSV000000256.115 - CCMS ProteoCarta MS-GF+ reanalysis of Campylobacter jejuni from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Campylobacter jejuni (MSV000083150/PXD010000).
DOI: 10.25345/c50p0d
title: MassIVE Reanalysis RMSV000000256.118 - CCMS ProteoCarta MS-GF+ reanalysis of Bacteroides thetaiotaomicron VPI-5482 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Bacteroides thetaiotaomicron VPI-5482 (MSV000083150/PXD010000).
DOI: 10.25345/c5vz66
title: MassIVE Reanalysis RMSV000000256.119 - CCMS ProteoCarta MS-GF+ reanalysis of Cellulophaga baltica 18 from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Cellulophaga baltica 18 (MSV000083150/PXD010000).
DOI: 10.25345/c5r54k
title: MassIVE Reanalysis RMSV000000256.120 - CCMS ProteoCarta MS-GF+ reanalysis of Citrobacter freundii from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Citrobacter freundii (MSV000083150/PXD010000).
DOI: 10.25345/c5mg19
title: MassIVE Reanalysis RMSV000000256.121 - CCMS ProteoCarta MS-GF+ reanalysis of Chryseobacterium indologenes from DeNovo Peptide Identification Deep Learning Training Set [launched by ba8df1b18d274bd0abd40d8cd09c74d0]
title: CCMS ProteoCarta database search (MSGF+) reanalysis of Chryseobacterium indologenes (MSV000083150/PXD010000).
DOI: 10.17632/ny6ngst4zs.1
title: Data for: U-series and Sr isotopes as tracers of mineral weathering and water routing from the deep Critical Zone to streamflow in a high-elevation volcanic catchment

description: Geochemical and isotopic data of groundwater, surface water, and solid core samples from Jemez River Basin-Critical Zone Observatory (JRB-CZO) in New Mexico, USA.
DOI: 10.17632/hk6t7fy96m.1
title: Neurobiology of Disease publication

description: Raw data for Neurobiology of Disease publication
DOI: 10.17632/mmrvtmnbh9.1
title: Catalysts Developed from Waste Plastics: A Versatile System For Biomass Conversion

description: The end-of-life treatment of post-consumer plastic waste constitutes one of modern society’s greatest problems, whereby highly unsustainable landfilling and incineration are the two main disposal routes. At present, the chemical upcycling of plastic waste is largely limited to its pyrolytic conversion into hydrocarbon fuels or nanomaterials. Herein, we demonstrate the upcycling of high-volume plastic waste by turning them into catalysts for biomass valorization. Many existing studies synthesise organocatalysts from a bottom-up approach using specialized monomers. Yet, transforming widely available waste polymers into functionalized materials for catalysis remains relatively unexplored. In this study, homogeneous and crosslinked heterogeneous catalysts derived from waste polystyrene food containers are shown to convert readily-available saccharide precursors from biomass into 5-hydroxymethylfurfural (5-HMF), a key biorefinery platform chemical, under short reaction times and mild conditions. In addition, the heterogeneous catalyst can be reused multiple times with little loss of yield between repeated runs. Other than 5-HMF, doping the reaction with water or halide salts also allowed the formation of valuable products such as formic acid and diformylfuran. Our work expands on existing upcycling options for post-consumer plastic waste by giving them a new lease of life as value-added catalysts.
DOI: 10.5517/ccdc.csd.cc275cjb
title: CCDC 2060741: Experimental Crystal Structure Determination

description: Related Article: Yu-Feng Zhang, Xiao-Yang Dong, Jiang-Tao Cheng, Ning-Yuan Yang, Li-Lei Wang, Fu-Li Wang, Cheng Luan, Juan Liu, Zhong-Liang Li, Qiang-Shuai Gu, Xin-Yuan Liu|2021|J.Am.Chem.Soc.|143|15413|doi:10.1021/jacs.1c07726
DOI: 10.5517/ccdc.csd.cc27h2tn
title: CCDC 2070081: Experimental Crystal Structure Determination

description: Related Article: Chaopeng Hu, Jianying Zhang, Hao Yang, Lulu Guo, Chunming Cui|2021|Inorg.Chem.|60|14038|doi:10.1021/acs.inorgchem.1c01314
DOI: 10.5517/ccdc.csd.cc275ctm
title: CCDC 2060750: Experimental Crystal Structure Determination

description: Related Article: Yu-Feng Zhang, Xiao-Yang Dong, Jiang-Tao Cheng, Ning-Yuan Yang, Li-Lei Wang, Fu-Li Wang, Cheng Luan, Juan Liu, Zhong-Liang Li, Qiang-Shuai Gu, Xin-Yuan Liu|2021|J.Am.Chem.Soc.|143|15413|doi:10.1021/jacs.1c07726
DOI: 10.5517/ccdc.csd.cc275cg8
title: CCDC 2060739: Experimental Crystal Structure Determination

description: Related Article: Yu-Feng Zhang, Xiao-Yang Dong, Jiang-Tao Cheng, Ning-Yuan Yang, Li-Lei Wang, Fu-Li Wang, Cheng Luan, Juan Liu, Zhong-Liang Li, Qiang-Shuai Gu, Xin-Yuan Liu|2021|J.Am.Chem.Soc.|143|15413|doi:10.1021/jacs.1c07726