cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1141277.09fu
title: SH1141277.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1141278.09fu
title: SH1141278.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1141279.09fu
title: SH1141279.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1141280.09fu
title: SH1141280.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1141281.09fu
title: SH1141281.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc28ntg7
title: CCDC 2105379: Experimental Crystal Structure Determination

description: Related Article: Mariam Y. Al-Enezi, Elizabeth John, Yehia A. Ibrahim, Nouria A. Al-Awadi|2021|RSC Advances|11|37866|doi:10.1039/D1RA07428H
DOI: 10.5517/ccdc.csd.cc1lr0p1
title: CCDC 1481883: Experimental Crystal Structure Determination

description: Related Article: Mariam Y. Al-Enezi, Elizabeth John, Yehia A. Ibrahim, Nouria A. Al-Awadi|2021|RSC Advances|11|37866|doi:10.1039/D1RA07428H
DOI: 10.5517/ccdc.csd.cc28ntj9
title: CCDC 2105381: Experimental Crystal Structure Determination

description: Related Article: Mariam Y. Al-Enezi, Elizabeth John, Yehia A. Ibrahim, Nouria A. Al-Awadi|2021|RSC Advances|11|37866|doi:10.1039/D1RA07428H
DOI: 10.5517/ccdc.csd.cc28sdyf
title: CCDC 2108835: Experimental Crystal Structure Determination

description: Related Article: Selena L. Staun, Guang Wu, Wayne W. Lukens, Trevor W. Hayton|2021|Chemical Science|12|15519|doi:10.1039/D1SC05072A
DOI: 10.5517/ccdc.csd.cc28sv1z
title: CCDC 2109241: Experimental Crystal Structure Determination

description: Related Article: Julius J. Oppenheim, Sujay Bagi, Tianyang Chen, Chenyue Sun, Luming Yang, Peter Müller, Yuriy Román-Leshkov, Mircea Dincă|2021|Inorg.Chem.|60|18205|doi:10.1021/acs.inorgchem.1c02850
DOI: 10.5281/zenodo.5770747
title: Signature of long-lived memory CD8+ T cells in acute SARS-CoV-2 infection

description: The datasets uploaded in this Zenodo entry were generated in the single cell RNA sequencing part of the project. For the scRNAseq analysis, cells from ten patients and the same time point were pooled together, generating four individual sample sets in total: (1) patients CoV2_T001- CoV2_T010, acute; (2) patients CoV2_T001- CoV2_T010, six months post-infection; (3) patients CoV2_T011- CoV2_T020, acute; (4) patients CoV2_T011- CoV2_T011-20, six months post-infection. We additionally generated two more sample sets: using 5000 unsorted PBMCs from each patient’s sample: (5) patients CoV2_T001- CoV2_T010, six months post-infection unsorted; (6) patients CoV2_T011- CoV2_T020, six months post-infection unsorted. Finally, using PBMCs from four healthy donors, we generated sample set (7) by sorting and pooling 2000 CD8+ T cells from each healthy donor sample. We are here providing the pre-processed sets for each sample set (1-7), i.e. :<br> - "filtered feature bc matrix" files, as output from the ‘cellranger multi’ pipeline (Cell Ranger version 5.0.0), containing cell-RNA count matrices and cell-ADT matrices. ADTs comprise counts for TotalSeq antibodies and dCODE Dextramers.<br> - "filtered_contig_annotations.csv" files, as output from the ‘cellranger multi’ pipeline (Cell Ranger version 5.0.0), containing High-level annotations of each high-confidence, cellular contig for TCR clonal analysis. This file is not present for sets 5 and 6, because we did not perform TCR profiling for these samples.<br> - "clusters.tsv" files, as output from the souporcell SNP analysis (version 2). To cluster cells based on their patient specific genetic variants, we merged sample sets 1, 2 and 5 (comprising sorted cells from both time points of patients CoV2_T001- CoV2_T010 and unsorted cells of the same patients) and sets 3, 4 and 6 (comprising cells from both time points of patients CoV2_T011- CoV2_T020 and unsorted cells of the same patients). Then, we executed the souporcell pipeline with option <em>k=10 </em>(number of clusters to be determined) for each of the two merged sample sets. Together, these files allow to reproduce the analysis as reported in the paper. Additionally, we provide the Seurat Objects "Integrated.h5seurat" and "Integrated_NA_filtered.h5seurat" which can be used to skip the pre-processing steps of the data analysis. See the code provided on https://github.com/Moors-Code/SARS-CoV-2-Tcell-Boyman-collaboration for details.
DOI: 10.6073/pasta/baad532af96cba1d58d43b89c08ca081
title: Interagency Ecological Program: Zooplankton catch and water quality data from the Sacramento River floodplain and tidal slough, collected by the Yolo Bypass Fish Monitoring Program, 1998-2018

description: Largely supported by the Interagency Ecological Program (IEP), the California Department of Water Resources (DWR) has operated a fisheries and invertebrate monitoring program in the Yolo Bypass since 1998. The main objectives of the Yolo Bypass Fish Monitoring Program (YBFMP) are to collect baseline data on lower trophic levels (phytoplankton, zooplankton and insect drift), juvenile and adult fish, hydrology, and water quality parameters. As the Yolo Bypass has been identified as a high restoration priority by numerous regulatory agencies, these baseline data are critical for evaluating success of future restoration projects. In addition, the data have already served to increase our understanding of the role of the Yolo Bypass in the life history of native fishes, and its ecological function in the San Francisco Estuary. Zooplankton are an important component in the diet of larval, juvenile, and small adult fishes within the San Francisco Estuary, including Delta Smelt, juvenile Chinook Salmon, Striped Bass, and Sacramento Splittail. The YBFMP collects zooplankton year-round from two sites. Since 2011, samples have been collected biweekly (every other week) to weekly (during floodplain inundation) using 150- and 50- micrometer mesh plankton nets. Zooplankton are identified and enumerated by contractors (currently BSA Environmental Services). The goals of the zooplankton monitoring program are to compare the seasonal variation in species densities and trends between (1) the Sacramento River channel, and (2) the Yolo Bypass, the river’s seasonal floodplain. Data on zooplankton catch and associated water quality parameters are presented in this dataset.
DOI: 10.6084/m9.figshare.17152691.v1
title: Data and code to replicate the analysis in "Resource pulses and human-wildlife conflicts: Linking satellite indicators and ground data on forest productivity to predict brown bear damages"

description: These datasets include processed data to run the analyses needed to (1) estimate the response of bear damage to year-to-year variation in beechnut production; (2) model and predict the variability in beechnut production as a response of weather cues of masting and remote-sensing indicators of vegetation growth and phenology. The raw data was compiled from the official databases of the organization responsible for damage compensation in the study area and from different online sources. Along with the data we provide METADATA files with the information about each variable present in each dataset. We also provided the analysis code (R script) used to generate statistics and some of the figures. For references and details about data processing, and analysis we refer to the original publication and its Supporting Information.
DOI: 10.6084/m9.figshare.17155655
title: compass_simulated.rds

description: This is a SIMULATED data set based on the COMPASS Study (Duncan et al, 2020, <i>Cardiovascular Quality and Outcomes</i>). This data set is used as an example data set in the forthcoming publication "Bayesian multivariate probability of success using historical data with type I error rate control", submitted to <i>Biostatistics</i>.
DOI: 10.6084/m9.figshare.17155655.v1
title: compass_simulated.rds

description: This is a SIMULATED data set based on the COMPASS Study (Duncan et al, 2020, <i>Cardiovascular Quality and Outcomes</i>). This data set is used as an example data set in the forthcoming publication "Bayesian multivariate probability of success using historical data with type I error rate control", submitted to <i>Biostatistics</i>.
DOI: 10.15784/601488
title: 2019 initial L-band radar data for EGRIP

description: This dataset includes a preliminary 1-km line of L-band radar data near the East Greenland Ice core Project. The data have been pulse compressed and focused using a simple Doppler focusing algorithm.
DOI: 10.15468/ygpwhf
title: Tipificaciones de los nombres publicados por E. Hassler y R. Chodat en el género Dorstenia L. (Moraceae) de la flora del Paraguay

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ramella, Lorenzo, Soloaga, Mónica, Perret, Patrick (2014): Tipificaciones de los nombres publicados por E. Hassler y R. Chodat en el género Dorstenia L. (Moraceae) de la flora del Paraguay. Candollea 69 (2): 207-210, DOI: 10.15553/c2014v692a14
DOI: 10.15784/601489
title: 2019 initial L-band radar data for Dome Concordia

description: This dataset includes a preliminary set of L-band radar data obtained near Dome Concordia runway. The data consist of stationary profiles that have been pulse compressed and focused using coherent integration.
DOI: 10.5281/zenodo.5770801
title: Anacanthotermes ochraceus occurrence points

description: Anacanthotermes ochraceus occurrence points
DOI: 10.5281/zenodo.5770800
title: Anacanthotermes ochraceus occurrence points

description: Anacanthotermes ochraceus occurrence points
DOI: 10.25318/3710021001-eng
title: Annual expenditure by educational institutions per student, by educational level

description: This data table presents annual expenditure by educational institutions per student, in Canadian and American dollars. At the primary/secondary level, the amount spent on educational core services and ancillary services is also presented.
DOI: 10.25318/3710021001-fra
title: Dépenses annuelles des établissements d'enseignment par élève/étudiant, selon le niveau scolaire

description: Ce tableau de données présente les dépenses annuelles des établissements d'enseignement par étudiant, en dollars canadiens et américains. Au niveau primaire/secondaire, le montant dépensé pour les services éducatifs de base et les services auxiliaires est également présenté.
DOI: 10.5281/zenodo.5770823
title: TRATAMIENTO INTEGRAL DE EFLUENTES PROCEDENTES DE LA INDUSTRIA TEXTIL Y FARMACÉUTICA DEL PARQUE INDUSTRIAL CIVAC EN EL ESTADO DE MORELOS

description: Tratamiento de efluentes procedentes del sector farmacéutico por medio de dos Procesos de Oxidación Avanzada: a) fotocatálisis heterogénea con TiO2 y b) Foto-Fenton por medio de sales de hierro.
description: foto-Fenton
DOI: 10.18112/openneuro.ds003947.v1.0.0
title: EEG: First Episode Psychosis vs. Control Resting Task 2
DOI: 10.18112/openneuro.ds003944.v1.0.0
title: EEG: First Episode Psychosis vs. Control Resting Task 1
DOI: 10.25345/c5cz90
title: MassIVE MSV000088549 - High-Throughput Measurement and Machine Learning-Based Prediction of Collision Cross Sections for Drugs and Drug Metabolites
title: High-throughput IM-MS analysis of drug metabolism incubations prepared from the MicroSource Spectrum Discovery Collection using pooled human liver microsomes and S9 fraction
DOI: 10.5281/zenodo.5770840
title: Procesos de Oxidación Avanzada alternativos a métodos tradicionales para el tratamiento de aguas residuales utilizando radiación solar concentrada

description: Tratamiento de efluentes procedentes del sector farmacéutico por medio de dos Procesos de Oxidación Avanzada: a) fotocatálisis heterogénea con TiO2 y b) Foto-Fenton por medio de sales de hierro.
description: Fotocatálisis Heterogénea, foto-Fenton
DOI: 10.5281/zenodo.5770822
title: Procesos de Oxidación Avanzada alternativos a métodos tradicionales para el tratamiento de aguas residuales utilizando radiación solar concentrada

description: Tratamiento de efluentes procedentes del sector farmacéutico por medio de dos Procesos de Oxidación Avanzada: a) fotocatálisis heterogénea con TiO2 y b) Foto-Fenton por medio de sales de hierro.
description: Fotocatálisis Heterogénea, foto-Fenton
DOI: 10.5281/zenodo.5770868
title: Photometric data of the Magellanic Cloud clusters NGC330, NGC1818, NGC1755 and NGC2164

description: NGC330fig2Milone18.RDMAG, NGC1755.XYM, NGC1818.XYM and NGC2164.XYMAGBe are the photometric data for the Magellanic Cloud clusters NGC330, NGC1755, NGC1818 and NGC2164, respectively. The owner of the data is Antonino Milone. n330_decont.csv, n1818_decont.csv, n1755_decont.csv and n2164_decont.csv are the main-sequence stars employed in the paper "Stellar mergers as the origin of the blue main-sequence band in young star clusters" after decontamination.
DOI: 10.5281/zenodo.5770867
title: Photometric data of the Magellanic Cloud clusters NGC330, NGC1818, NGC1755 and NGC2164

description: NGC330fig2Milone18.RDMAG, NGC1755.XYM, NGC1818.XYM and NGC2164.XYMAGBe are the photometric data for the Magellanic Cloud clusters NGC330, NGC1755, NGC1818 and NGC2164, respectively. The owner of the data is Antonino Milone. n330_decont.csv, n1818_decont.csv, n1755_decont.csv and n2164_decont.csv are the main-sequence stars employed in the paper "Stellar mergers as the origin of the blue main-sequence band in young star clusters" after decontamination.
DOI: 10.5517/ccdc.csd.cc26040d
title: CCDC 2025912: Experimental Crystal Structure Determination

description: Related Article: Anandi Srinivasan, Rebecca A. Musgrave, Mathieu Rouzières, Rodolphe Clérac, John E. McGrady, Elizabeth A. Hillard|2021|Chem.Commun.|57|13357|doi:10.1039/D1CC05043E
DOI: 10.5517/ccdc.csd.cc26041f
title: CCDC 2025913: Experimental Crystal Structure Determination

description: Related Article: Anandi Srinivasan, Rebecca A. Musgrave, Mathieu Rouzières, Rodolphe Clérac, John E. McGrady, Elizabeth A. Hillard|2021|Chem.Commun.|57|13357|doi:10.1039/D1CC05043E
DOI: 10.5517/ccdc.csd.cc26j5fc
title: CCDC 2041332: Experimental Crystal Structure Determination

description: Related Article: Jun-An Xiao, Hai Peng, Jin-Shao Liang, Ru-Fang Meng, Wei Su, Qi Xiao, Hua Yang|2021|Chem.Commun.|57|13369|doi:10.1039/D1CC05658A
DOI: 10.5517/ccdc.csd.cc27641n
title: CCDC 2061470: Experimental Crystal Structure Determination

description: Related Article: Haiyan Cui, Liting Wang, Huapeng Ruan, Min Liu, Zhongtao Feng, Jie Wang, Yue Zhao, Xinping Wang|2021|Chem.Commun.|57|13345|doi:10.1039/D1CC05244F
DOI: 10.5517/ccdc.csd.cc27642p
title: CCDC 2061471: Experimental Crystal Structure Determination

description: Related Article: Haiyan Cui, Liting Wang, Huapeng Ruan, Min Liu, Zhongtao Feng, Jie Wang, Yue Zhao, Xinping Wang|2021|Chem.Commun.|57|13345|doi:10.1039/D1CC05244F
DOI: 10.5517/ccdc.csd.cc27643q
title: CCDC 2061472: Experimental Crystal Structure Determination

description: Related Article: Haiyan Cui, Liting Wang, Huapeng Ruan, Min Liu, Zhongtao Feng, Jie Wang, Yue Zhao, Xinping Wang|2021|Chem.Commun.|57|13345|doi:10.1039/D1CC05244F
DOI: 10.5517/ccdc.csd.cc27644r
title: CCDC 2061473: Experimental Crystal Structure Determination

description: Related Article: Haiyan Cui, Liting Wang, Huapeng Ruan, Min Liu, Zhongtao Feng, Jie Wang, Yue Zhao, Xinping Wang|2021|Chem.Commun.|57|13345|doi:10.1039/D1CC05244F
DOI: 10.5517/ccdc.csd.cc21plly
title: CCDC 1897590: Experimental Crystal Structure Determination

description: Related Article: Wiem Jabeur, Rawia Msalmi, Marcus Korb, Mariia Holub, Edoardo Mosconi, Erik Čižmár, Anowar Tozri, Numa A. Althubiti, Houcine Naïli|2021|J.Mater.Chem.C|9|17158|doi:10.1039/D1TC04336F
DOI: 10.5517/ccdc.csd.cc27sdjz
title: CCDC 2079031: Experimental Crystal Structure Determination

description: Related Article: Benjamin J. Frogley, Anthony F. Hill, Steven S. Welsh|2021|Chem.Commun.|57|13353|doi:10.1039/D1CC06142A
DOI: 10.5517/ccdc.csd.cc27sdp4
title: CCDC 2079036: Experimental Crystal Structure Determination

description: Related Article: Benjamin J. Frogley, Anthony F. Hill, Steven S. Welsh|2021|Chem.Commun.|57|13353|doi:10.1039/D1CC06142A
DOI: 10.5517/ccdc.csd.cc27sdq5
title: CCDC 2079037: Experimental Crystal Structure Determination

description: Related Article: Benjamin J. Frogley, Anthony F. Hill, Steven S. Welsh|2021|Chem.Commun.|57|13353|doi:10.1039/D1CC06142A
DOI: 10.5517/ccdc.csd.cc27sdr6
title: CCDC 2079038: Experimental Crystal Structure Determination

description: Related Article: Benjamin J. Frogley, Anthony F. Hill, Steven S. Welsh|2021|Chem.Commun.|57|13353|doi:10.1039/D1CC06142A
DOI: 10.5517/ccdc.csd.cc27sds7
title: CCDC 2079039: Experimental Crystal Structure Determination

description: Related Article: Benjamin J. Frogley, Anthony F. Hill, Steven S. Welsh|2021|Chem.Commun.|57|13353|doi:10.1039/D1CC06142A
DOI: 10.5517/ccdc.csd.cc27x50c
title: CCDC 2082642: Experimental Crystal Structure Determination

description: Related Article: Xianheng Song, Shanshui Meng, Hong Zhang, Yi Jiang, Albert S. C. Chan, Yong Zou|2021|Chem.Commun.|57|13385|doi:10.1039/D1CC04534B
DOI: 10.5517/ccdc.csd.cc27x52f
title: CCDC 2082644: Experimental Crystal Structure Determination

description: Related Article: Xianheng Song, Shanshui Meng, Hong Zhang, Yi Jiang, Albert S. C. Chan, Yong Zou|2021|Chem.Commun.|57|13385|doi:10.1039/D1CC04534B
DOI: 10.5517/ccdc.csd.cc2807r9
title: CCDC 2085610: Experimental Crystal Structure Determination

description: Related Article: Jun-An Xiao, Hai Peng, Jin-Shao Liang, Ru-Fang Meng, Wei Su, Qi Xiao, Hua Yang|2021|Chem.Commun.|57|13369|doi:10.1039/D1CC05658A
DOI: 10.5517/ccdc.csd.cc287tx8
title: CCDC 2092900: Experimental Crystal Structure Determination

description: Related Article: Michele S. Myong, Yue Qi, Charlotte Stern, Michael R. Wasielewski|2021|J.Mater.Chem.C|9|16911|doi:10.1039/D1TC04313G
DOI: 10.5517/ccdc.csd.cc287ty9
title: CCDC 2092901: Experimental Crystal Structure Determination

description: Related Article: Michele S. Myong, Yue Qi, Charlotte Stern, Michael R. Wasielewski|2021|J.Mater.Chem.C|9|16911|doi:10.1039/D1TC04313G
DOI: 10.5517/ccdc.csd.cc289sm0
title: CCDC 2094782: Experimental Crystal Structure Determination

description: Related Article: Raphael Lengacher, Youchao Wang, Henrik Braband, Olivier Blacque, Gilles Gasser, Roger Alberto|2021|Chem.Commun.|57|13349|doi:10.1039/D1CC03678E
DOI: 10.5517/ccdc.csd.cc289sn1
title: CCDC 2094783: Experimental Crystal Structure Determination

description: Related Article: Raphael Lengacher, Youchao Wang, Henrik Braband, Olivier Blacque, Gilles Gasser, Roger Alberto|2021|Chem.Commun.|57|13349|doi:10.1039/D1CC03678E
DOI: 10.5517/ccdc.csd.cc289sp2
title: CCDC 2094784: Experimental Crystal Structure Determination

description: Related Article: Raphael Lengacher, Youchao Wang, Henrik Braband, Olivier Blacque, Gilles Gasser, Roger Alberto|2021|Chem.Commun.|57|13349|doi:10.1039/D1CC03678E
DOI: 10.5517/ccdc.csd.cc28cgch
title: CCDC 2096386: Experimental Crystal Structure Determination

description: Related Article: Zhan Liu, Zheng-Chun Yin, Wen-Qiang Lu, Dian-Bing Zhou, Guan-Wu Wang|2021|Chem.Commun.|57|13389|doi:10.1039/D1CC05749A