cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5765729
title: Characterization of the complete chloroplast genome of the medicinal shrub Caragana brevifolia Kom. (Fabales: Fabaceae)

description: <em>Caragana brevifolia</em> Kom. is a species of shrub with high medicinal value, and is mainly distributed in China, India and Pakistan. In this study, the chloroplast genome of <em>C. brevifolia</em> was determined to be 132,359 bp long with an asymmetric nucleotide composition (32.7%A, 16.7%C, 18.0%G and 32.6%T). It encodes a panel of 110 genes (incl. 76 protein-coding, 30 tRNA and four rRNA genes) with one of them being duplicated and 17 of them containing intron(s). Phylogenetic analysis suggested that <em>C. brevifolia</em> was most closely related to the congeners <em>Caragana rosea </em>Turcz. ex Maxim. and <em>Caragana stenophylla</em> Pojark.
description: The uploaded files are the annotated chloroplast genome (in GenBank .gb format) and the physical map of the chloroplast genome (in .pdf format) of Caragana brevifolia Kom.
DOI: 10.5281/zenodo.5765728
title: Characterization of the complete chloroplast genome of the medicinal shrub Caragana brevifolia Kom. (Fabales: Fabaceae)

description: <em>Caragana brevifolia</em> Kom. is a species of shrub with high medicinal value, and is mainly distributed in China, India and Pakistan. In this study, the chloroplast genome of <em>C. brevifolia</em> was determined to be 132,359 bp long with an asymmetric nucleotide composition (32.7%A, 16.7%C, 18.0%G and 32.6%T). It encodes a panel of 110 genes (incl. 76 protein-coding, 30 tRNA and four rRNA genes) with one of them being duplicated and 17 of them containing intron(s). Phylogenetic analysis suggested that <em>C. brevifolia</em> was most closely related to the congeners <em>Caragana rosea </em>Turcz. ex Maxim. and <em>Caragana stenophylla</em> Pojark.
description: The uploaded files are the annotated chloroplast genome (in GenBank .gb format) and the physical map of the chloroplast genome (in .pdf format) of Caragana brevifolia Kom.
DOI: 10.7931/kf76-c815
title: Kin recognition in Amblyseius herbicolus
DOI: 10.5517/ccdc.csd.cc288htw
title: CCDC 2093548: Experimental Crystal Structure Determination

description: Related Article: Yang Yangjs|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288hvx
title: CCDC 2093549: Experimental Crystal Structure Determination

description: Related Article: Yang Yangjs|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kmm3
title: CCDC 2102315: Experimental Crystal Structure Determination

description: Related Article: Qiucheng Chen|2021|CSD Communication|||
description: Related Article: Qiu-Cheng Chen, Natalia Fridman, Boris L. Tumanskii, Zeev Gross|2021|Chemical Science|12|12445|doi:10.1039/D1SC02593G
DOI: 10.5517/ccdc.csd.cc28lmdx
title: CCDC 2103269: Experimental Crystal Structure Determination

description: Related Article: Li Tian|2021|CSD Communication|||
description: Related Article: Zhi Long Ma, Meng Chen Wang, Li Tian, Zhong Yi Liu|2021|CrystEngComm|23|7253|doi:10.1039/D1CE01093J
DOI: 10.5517/ccdc.csd.cc28lmfy
title: CCDC 2103270: Experimental Crystal Structure Determination

description: Related Article: Li Tian|2021|CSD Communication|||
description: Related Article: Zhi Long Ma, Meng Chen Wang, Li Tian, Zhong Yi Liu|2021|CrystEngComm|23|7253|doi:10.1039/D1CE01093J
DOI: 10.5517/ccdc.csd.cc28sqng
title: CCDC 2109136: Experimental Crystal Structure Determination

description: Related Article: Paul Strasser, Marina Russo, Pauline Stadler, Patrick Breiteneder, Günther Redhammer, Markus Himmelsbach, Oliver Brüggemann, Uwe Monkowius, Petr Klán, Ian Teasdale|2021|Polym.Chem.|12|6927|doi:10.1039/D1PY01245B
DOI: 10.5517/ccdc.csd.cc28sqph
title: CCDC 2109137: Experimental Crystal Structure Determination

description: Related Article: Paul Strasser, Marina Russo, Pauline Stadler, Patrick Breiteneder, Günther Redhammer, Markus Himmelsbach, Oliver Brüggemann, Uwe Monkowius, Petr Klán, Ian Teasdale|2021|Polym.Chem.|12|6927|doi:10.1039/D1PY01245B
DOI: 10.5517/ccdc.csd.cc28xjk9
title: CCDC 2112791: Experimental Crystal Structure Determination

description: Related Article: Ming-Jun Yi, Teng-Fei Xiao, Wen-Hui Li, Yi-Fan Zhang, Pen-Ji Yan, Baoxin Zhang, Peng-Fei Xu, Guo-Qiang Xu|2021|Chem.Commun.|57|13158|doi:10.1039/D1CC05767G
DOI: 10.5517/ccdc.csd.cc28xzt0
title: CCDC 2113233: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E
DOI: 10.5517/ccdc.csd.cc28xzw2
title: CCDC 2113235: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E
DOI: 10.5517/ccdc.csd.cc28xzy4
title: CCDC 2113237: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E
DOI: 10.5517/ccdc.csd.cc24rq9y
title: CCDC 1989000: Experimental Crystal Structure Determination

description: Related Article: Dumisani V. Kama, Angelo Frei, Alice Brink, Henrik Braband, Roger Alberto, Andreas Roodt|2021|Dalton Trans.|50|17506|doi:10.1039/D1DT03234H
description: Related Article: Dumisani V. Kama, Angelo Frei, Marietjie Schutte-Smith, Alice Brink, Chantel Swart, Henrik Braband, Roger Alberto, Andreas Roodt|2021|New J.Chem.|45|22141|doi:10.1039/D1NJ04273D
DOI: 10.5517/ccdc.csd.cc2890xj
title: CCDC 2094047: Experimental Crystal Structure Determination

description: Related Article: Yu Gao, Yuzhu Li, Chen Liang, Peipei Cen, Jing Xi, Yan Guo, Weiming Song, Xiangyu Liu|2021|Dalton Trans.|50|17603|doi:10.1039/D1DT03131G
DOI: 10.5517/ccdc.csd.cc2890wh
title: CCDC 2094046: Experimental Crystal Structure Determination

description: Related Article: Yu Gao, Yuzhu Li, Chen Liang, Peipei Cen, Jing Xi, Yan Guo, Weiming Song, Xiangyu Liu|2021|Dalton Trans.|50|17603|doi:10.1039/D1DT03131G
DOI: 10.5517/ccdc.csd.cc291rdj
title: CCDC 2116847: Experimental Crystal Structure Determination

description: Related Article: Sumit Sahoo, Gunasekaran Velmurugan, Buddhadeb Chakraborty, Peter Comba, Harapriya Rath|2021|Org.Chem.Front.|8|6909|doi:10.1039/D1QO01247A
DOI: 10.25442/hku.17090930
title: Supporting data for "Changes in cortical and hippocampal AMPA and NMDA receptor plasticity in post operative neuroinflammation"

description: in this thesis, I used a murine surgical model and verified postoperative cognitive impairment and the release of inflammatory cytokines. In vitro electrophysiological methods and multichannel recording were used. Two-photon imaging was then used to visualize AMPARs trafficking.
DOI: 10.25442/hku.17090930.v1
title: Supporting data for "Changes in cortical and hippocampal AMPA and NMDA receptor plasticity in post operative neuroinflammation"

description: in this thesis, I used a murine surgical model and verified postoperative cognitive impairment and the release of inflammatory cytokines. In vitro electrophysiological methods and multichannel recording were used. Two-photon imaging was then used to visualize AMPARs trafficking.
DOI: 10.6084/m9.figshare.16968334
title: China global Land Surface Air Temperature 2.0 during 1850-2020

description: The China global Land Surface Air Temperature 2.0 (China-LSAT2.0) datasets consist of two datasets, China-LSAT2.0 and reconstructed China-LSAT2.0, while each dataset includes three temperature-related elements, including monthly average, maximum, and minimum temperatures. An nc file contains one temperature element inside, the nc file containing the monthly average temperature with the _tavg suffix, containing the monthly maximum temperature with the _tmax suffix, containing the monthly minimum temperature with the _tmin suffix.<br>
DOI: 10.6084/m9.figshare.16968334.v3
title: China global Land Surface Air Temperature 2.0 during 1850-2020

description: The China global Land Surface Air Temperature 2.0 (China-LSAT2.0) datasets consist of two datasets, China-LSAT2.0 and reconstructed China-LSAT2.0, while each dataset includes three temperature-related elements, including monthly average, maximum, and minimum temperatures. An nc file contains one temperature element inside, the nc file containing the monthly average temperature with the _tavg suffix, containing the monthly maximum temperature with the _tmax suffix, containing the monthly minimum temperature with the _tmin suffix.<br>
DOI: 10.25442/hku.17089250
title: Supporting data for “ Bioproduction and Characterisation of Recombinant Anti-CRP Antibody"

description: There are two folders in the Dataset (Main folder). Supporting data-Folder 1 includes the supporting data for the thesis. Supporting data-Folder 2 includes a poster for the 26th Medical Research Conference. <br>In the Supporting data-Folder-1, the raw data of ELISA reads and cell viability were recorded in the format of GraphPad Prism. The student's t-test are also recorded in these documents. <br>Supporting Data for Figure 3.3 ELISA of groups of antibody expression covers the raw data of the level of antibody expression level from different designed expression plasmids. <br>Supporting Data for Figure 3.4 ExpiCHO culture covers the raw data of the recorded cell viability and antibody level in culture medium during ExpiCHO cell culture.<br>Supporting Data for Figure 4.1 ELISA comparison for anti-CRP antibodies covers the the the level of ELISA reads using different antibodies as primary antibody in different concentration.
DOI: 10.25442/hku.17089250.v1
title: Supporting data for “ Bioproduction and Characterisation of Recombinant Anti-CRP Antibody"

description: There are two folders in the Dataset (Main folder). Supporting data-Folder 1 includes the supporting data for the thesis. Supporting data-Folder 2 includes a poster for the 26th Medical Research Conference. <br>In the Supporting data-Folder-1, the raw data of ELISA reads and cell viability were recorded in the format of GraphPad Prism. The student's t-test are also recorded in these documents. <br>Supporting Data for Figure 3.3 ELISA of groups of antibody expression covers the raw data of the level of antibody expression level from different designed expression plasmids. <br>Supporting Data for Figure 3.4 ExpiCHO culture covers the raw data of the recorded cell viability and antibody level in culture medium during ExpiCHO cell culture.<br>Supporting Data for Figure 4.1 ELISA comparison for anti-CRP antibodies covers the the the level of ELISA reads using different antibodies as primary antibody in different concentration.
DOI: 10.25442/hku.17091068
title: Supporting data for "Teacher Management from an Age and Generational Perspective: A Case Study in a Senior Secondary School in Lanzhou City, Gansu Province, China"

description: The dataset contains four folders including documents, interview transcriptions and observation notes conducted in a senior secondary school in mainland China. Documents in the dataset include photos taken at the research site and school/government files. focus group interviews and individual interviews. Two types of interviews were conducted, including 6 focus group interviews and 17 individual interviews. Transcriptions of the interviews are included in this dataset. Additionally, there is also a collection of all the field notes generated through onsite observations.
DOI: 10.25442/hku.17091068.v1
title: Supporting data for "Teacher Management from an Age and Generational Perspective: A Case Study in a Senior Secondary School in Lanzhou City, Gansu Province, China"

description: The dataset contains four folders including documents, interview transcriptions and observation notes conducted in a senior secondary school in mainland China. Documents in the dataset include photos taken at the research site and school/government files. focus group interviews and individual interviews. Two types of interviews were conducted, including 6 focus group interviews and 17 individual interviews. Transcriptions of the interviews are included in this dataset. Additionally, there is also a collection of all the field notes generated through onsite observations.
DOI: 10.6084/m9.figshare.16929427
title: China global Merged surface temperature 2.0 during 1850-2020

description: The China global Merged Surface Temperature (China-MST) was created by merging the China-Land Surface Air Temperature 2.0 (China-LSAT2.0) with sea surface temperature (SST) data from the Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5). The latest version China-MST2.0 datasets consist of four datasets: China-MST2.0-Nrec, China-MST-Interim, China-MST2.0-Imax, and China-MST2.0-Imin.
DOI: 10.6084/m9.figshare.16929427.v3
title: China global Merged surface temperature 2.0 during 1850-2020

description: The China global Merged Surface Temperature (China-MST) was created by merging the China-Land Surface Air Temperature 2.0 (China-LSAT2.0) with sea surface temperature (SST) data from the Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5). The latest version China-MST2.0 datasets consist of four datasets: China-MST2.0-Nrec, China-MST-Interim, China-MST2.0-Imax, and China-MST2.0-Imin.
DOI: 10.6084/m9.figshare.16618255.v3
title: Pearl River estuary microbiome and virome

description: <b>Project description:</b> Deep metagenomic sequencing on microbial and viral communities in surface waters of the Pearl River estuary (PRE), a typical subtropical. <b>Data description: </b>Data for assembly, MAGs, viral like contigs and populations generated using the PRE microbial metagenomic data sets - data includes:PRET1608S??F00_idba-ud_final.fna.gz: the contigs generated from virome(&lt;0.2 μm) (5 files).PRET1608S??F0{2/7}_megahit_final.fna.gz: the contigs generated from cellular metagenome(0.2-0.7 μm and 0.7-2.7μm) (10 files).PRET1608S??F0{2/7}_MAGs.tar.gz: MAGs with ≥ 50% completeness and ≤ 10% contamination of each metagenome.<br>PRE_all_dereplicated_MAGs.tar.gz: 1,205 non-redundant prokaryotic genomes with ≥ 50% completeness and ≤ 10% contamination.<br>PRE_viral_contigs.fasta: Putative viral contigs identified from contigs of all the three size fractions in PRE (1 file).PRE_viral_contigs_95-80.fna: Viral populations based on 95% nucleotide identity and 80% of the genome coverage criterion (1 file).Table1-SingleCopyMarkers.xlsx: The information of 122 archaeal single-copy marker proteins and 120 bacterial single-copy marker proteins were used to infer the maximum likelihood trees of archaeal and bacterial phylogenetic trees, respectively (1 file). Table2-MAGsGTDBdatabaseTaxonomicClassification.xlsx: Taxonomic classification of the final MAGs conducted by applying GTDB-tk (v1.4.0) based on the GTDB Release 202 (1 file).Table3-ViralPopulationQualitySummary.xlsx: Summary of the completeness and quality of the identified viral populations (1 file). Table4-ViralPopulationTaxonomy.xlsx: Taxonomic classification of viral populations (1 file).File1-PRE_archaea.trimmed.concat.alignment & File2-PRE_bacteria.trimmed.concat.alignment: The concatenated alignment for further phylogenomic analysis (2 files).File3-PRE_archaea.trimmed.concat.newick & File4-PRE_bacteria.trimmed.concat.newick: The genome trees (2 files).<br>File5-PRE_archaea.tree.iTOL.labels.txt & File6-PRE_bacteria.tree.iTOL.labels.txt: The iTOL annotation file of the genome trees (2 files).<br>
DOI: 10.6084/m9.figshare.16618255.v4
title: Pearl River estuary microbiome and virome

description: <b>Project description:</b> Deep metagenomic sequencing on microbial and viral communities in surface waters of the Pearl River estuary (PRE), a typical subtropical. <b>Data description: </b>Data for assembly, MAGs, viral like contigs and populations generated using the PRE microbial metagenomic data sets - data includes:PRET1608S??F00_idba-ud_final.fna.gz: the contigs generated from virome(&lt;0.2 μm) (5 files).PRET1608S??F0{2/7}_megahit_final.fna.gz: the contigs generated from cellular metagenome(0.2-0.7 μm and 0.7-2.7μm) (10 files).PRET1608S??F0{2/7}_MAGs.tar.gz: MAGs with ≥ 50% completeness and ≤ 10% contamination of each metagenome.<br>PRE_all_dereplicated_MAGs.tar.gz: 1,205 non-redundant prokaryotic genomes with ≥ 50% completeness and ≤ 10% contamination.<br>PRE_viral_contigs.fasta: Putative viral contigs identified from contigs of all the three size fractions in PRE (1 file).PRE_viral_contigs_95-80.fna: Viral populations based on 95% nucleotide identity and 80% of the genome coverage criterion (1 file).Table1-SingleCopyMarkers.xlsx: The information of 122 archaeal single-copy marker proteins and 120 bacterial single-copy marker proteins were used to infer the maximum likelihood trees of archaeal and bacterial phylogenetic trees, respectively (1 file). Table2-MAGsGTDBdatabaseTaxonomicClassification.xlsx: Taxonomic classification of the final MAGs conducted by applying GTDB-tk (v1.4.0) based on the GTDB Release 202 (1 file).Table3-ViralPopulationQualitySummary.xlsx: Summary of the completeness and quality of the identified viral populations (1 file). Table4-ViralPopulationTaxonomy.xlsx: Taxonomic classification of viral populations (1 file).File1-PRE_archaea.trimmed.concat.alignment & File2-PRE_bacteria.trimmed.concat.alignment: The concatenated alignment for further phylogenomic analysis (2 files).File3-PRE_archaea.trimmed.concat.newick & File4-PRE_bacteria.trimmed.concat.newick: The genome trees (2 files).<br>File5-PRE_archaea.tree.iTOL.labels.txt & File6-PRE_bacteria.tree.iTOL.labels.txt: The iTOL annotation file of the genome trees (2 files).<br>
DOI: 10.6084/m9.figshare.16618255.v6
title: Pearl River estuary microbiome and virome

description: <b>Project description:</b> Deep metagenomic sequencing on microbial and viral communities in surface waters of the Pearl River estuary (PRE), a typical subtropical. <b>Data description: </b>Data for assembly, MAGs, viral like contigs and populations generated using the PRE microbial metagenomic data sets - data includes:PRET1608S??F00_idba-ud_final.fna.gz: the contigs generated from virome(&lt;0.2 μm) (5 files).PRET1608S??F0{2/7}_megahit_final.fna.gz: the contigs generated from cellular metagenome(0.2-0.7 μm and 0.7-2.7μm) (10 files).PRET1608S??F0{2/7}_MAGs.tar.gz: MAGs with ≥ 50% completeness and ≤ 10% contamination of each metagenome.<br>PRE_all_dereplicated_MAGs.tar.gz: 1,205 non-redundant prokaryotic genomes with ≥ 50% completeness and ≤ 10% contamination.<br>PRE_viral_contigs.fasta: Putative viral contigs identified from contigs of all the three size fractions in PRE (1 file).PRE_viral_contigs_95-80.fna: Viral populations based on 95% nucleotide identity and 80% of the genome coverage criterion (1 file).Table1-SingleCopyMarkers.xlsx: The information of 122 archaeal single-copy marker proteins and 120 bacterial single-copy marker proteins were used to infer the maximum likelihood trees of archaeal and bacterial phylogenetic trees, respectively (1 file). Table2-MAGsGTDBdatabaseTaxonomicClassification.xlsx: Taxonomic classification of the final MAGs conducted by applying GTDB-tk (v1.4.0) based on the GTDB Release 202 (1 file).Table3-ViralPopulationQualitySummary.xlsx: Summary of the completeness and quality of the identified viral populations (1 file). Table4-ViralPopulationTaxonomy.xlsx: Taxonomic classification of viral populations (1 file).File1-PRE_archaea.trimmed.concat.alignment & File2-PRE_bacteria.trimmed.concat.alignment: The concatenated alignment for further phylogenomic analysis (2 files).File3-PRE_archaea.trimmed.concat.newick & File4-PRE_bacteria.trimmed.concat.newick: The genome trees (2 files).<br>File5-PRE_archaea.tree.iTOL.labels.txt & File6-PRE_bacteria.tree.iTOL.labels.txt: The iTOL annotation file of the genome trees (2 files).<br>
DOI: 10.6084/m9.figshare.16618255.v5
title: Pearl River estuary microbiome and virome

description: <b>Project description:</b> Deep metagenomic sequencing on microbial and viral communities in surface waters of the Pearl River estuary (PRE), a typical subtropical. <b>Data description: </b>Data for assembly, MAGs, viral like contigs and populations generated using the PRE microbial metagenomic data sets - data includes:PRET1608S??F00_idba-ud_final.fna.gz: the contigs generated from virome(&lt;0.2 μm) (5 files).PRET1608S??F0{2/7}_megahit_final.fna.gz: the contigs generated from cellular metagenome(0.2-0.7 μm and 0.7-2.7μm) (10 files).PRET1608S??F0{2/7}_MAGs.tar.gz: MAGs with ≥ 50% completeness and ≤ 10% contamination of each metagenome.<br>PRE_all_dereplicated_MAGs.tar.gz: 1,205 non-redundant prokaryotic genomes with ≥ 50% completeness and ≤ 10% contamination.<br>PRE_viral_contigs.fasta: Putative viral contigs identified from contigs of all the three size fractions in PRE (1 file).PRE_viral_contigs_95-80.fna: Viral populations based on 95% nucleotide identity and 80% of the genome coverage criterion (1 file).Table1-SingleCopyMarkers.xlsx: The information of 122 archaeal single-copy marker proteins and 120 bacterial single-copy marker proteins were used to infer the maximum likelihood trees of archaeal and bacterial phylogenetic trees, respectively (1 file). Table2-MAGsGTDBdatabaseTaxonomicClassification.xlsx: Taxonomic classification of the final MAGs conducted by applying GTDB-tk (v1.4.0) based on the GTDB Release 202 (1 file).Table3-ViralPopulationQualitySummary.xlsx: Summary of the completeness and quality of the identified viral populations (1 file). Table4-ViralPopulationTaxonomy.xlsx: Taxonomic classification of viral populations (1 file).File1-PRE_archaea.trimmed.concat.alignment & File2-PRE_bacteria.trimmed.concat.alignment: The concatenated alignment for further phylogenomic analysis (2 files).File3-PRE_archaea.trimmed.concat.newick & File4-PRE_bacteria.trimmed.concat.newick: The genome trees (2 files).<br>File5-PRE_archaea.tree.iTOL.labels.txt & File6-PRE_bacteria.tree.iTOL.labels.txt: The iTOL annotation file of the genome trees (2 files).<br>
DOI: 10.5517/ccdc.csd.cc28h699
title: CCDC 2099980: Experimental Crystal Structure Determination

description: Related Article: P. Rejnhardt, M. Drozd, M. Daszkiewicz|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|996|doi:10.1107/S2052520621010970
DOI: 10.5517/ccdc.csd.cc28h6bb
title: CCDC 2099981: Experimental Crystal Structure Determination

description: Related Article: P. Rejnhardt, M. Drozd, M. Daszkiewicz|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|996|doi:10.1107/S2052520621010970
DOI: 10.5517/ccdc.csd.cc28jk6l
title: CCDC 2101279: Experimental Crystal Structure Determination

description: Related Article: liang zhang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc288vdt
title: CCDC 2093876: Experimental Crystal Structure Determination

description: Related Article: I. Garkul, A. Zadesenets, E. Filatov, I. Baidina, S. Tkachev, D. Samsonenko, S. Korenev|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|1048|doi:10.1107/S205252062101115X
DOI: 10.5517/ccdc.csd.cc288vcs
title: CCDC 2093875: Experimental Crystal Structure Determination

description: Related Article: I. Garkul, A. Zadesenets, E. Filatov, I. Baidina, S. Tkachev, D. Samsonenko, S. Korenev|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|1048|doi:10.1107/S205252062101115X
DOI: 10.5517/ccdc.csd.cc288v9q
title: CCDC 2093873: Experimental Crystal Structure Determination

description: Related Article: I. Garkul, A. Zadesenets, E. Filatov, I. Baidina, S. Tkachev, D. Samsonenko, S. Korenev|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|1048|doi:10.1107/S205252062101115X
DOI: 10.5517/ccdc.csd.cc288vbr
title: CCDC 2093874: Experimental Crystal Structure Determination

description: Related Article: I. Garkul, A. Zadesenets, E. Filatov, I. Baidina, S. Tkachev, D. Samsonenko, S. Korenev|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|1048|doi:10.1107/S205252062101115X
DOI: 10.5517/ccdc.csd.cc292ty5
title: CCDC 2117887: Experimental Crystal Structure Determination

description: Related Article: Milena Dahlen, Tim P. Seifert, Sergei Lebedkin, Michael T. Gamer, Manfred M. Kappes, Peter W. Roesky|2021|Chem.Commun.|57|13146|doi:10.1039/D1CC06034A