cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5n27r
title: MassIVE Reanalysis RMSV000000256.299 - CCMS ProteoCarta ModDecode reanalysis of Bacillus cereus ATCC14579 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacillus cereus ATCC14579 (RMSV000000256.150) from MSV000083150/PXD010000.
DOI: 10.6084/m9.figshare.16670563
title: video primary data

description: Folder structure:<br>touchcomm-psci/data/primary/<br><br>video_expt1-annotations-exported-txt/<br>+ txt files exported from ELAN annotation software, "T{toucherID}_R{receiverID}.txt"<br>"video_expt1-collated.csv" collated annotations from exported txt files.<br>
DOI: 10.25345/c5h84f
title: MassIVE Reanalysis RMSV000000256.298 - CCMS ProteoCarta ModDecode reanalysis of Bacillus subtilis 168 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacillus subtilis 168 (RMSV000000256.148) from MSV000083150/PXD010000.
DOI: 10.25345/c5ck3x
title: MassIVE Reanalysis RMSV000000256.302 - CCMS ProteoCarta ModDecode reanalysis of Agrobacterium tumefaciens IAM 12048 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Agrobacterium tumefaciens IAM 12048 (RMSV000000256.146) from MSV000083150/PXD010000.
DOI: 10.25345/c57s0m
title: MassIVE Reanalysis RMSV000000256.301 - CCMS ProteoCarta ModDecode reanalysis of Algoriphagus marincola HL-49 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Algoriphagus marincola HL-49 (RMSV000000256.147) from MSV000083150/PXD010000.
DOI: 10.25345/c54273
title: MassIVE Reanalysis RMSV000000256.303 - CCMS ProteoCarta ModDecode reanalysis of Bacteroides fragilis 638R data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacteroides fragilis 638R (RMSV000000256.153) from MSV000083150/PXD010000.
DOI: 10.25345/c50855
title: MassIVE Reanalysis RMSV000000256.304 - CCMS ProteoCarta ModDecode reanalysis of Bacillus subtilis NCIB3610 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacillus subtilis NCIB3610 (RMSV000000256.151) from MSV000083150/PXD010000.
DOI: 10.5281/zenodo.5542304
title: URSSI Community Survey 2018 Raw Data

description: To better understand research software user and developer communities, the PI team of the Conceptualization of the US Research Software Sustainability Institute (URSSI) conducted a survey of research software users and developers. The focus of the survey was to gather information to help identify how to increase the sustainability of research software. To gather a broad range of perspectives, the survey was distributed to 25,000 NSF and 25,000 NIH PIs whose projects involve research software, as well as mailing lists of interested people such as the WSSSPE email list. In addition, the PI team used snowballing by asking people to forward the survey to others who might be interested. This effort is part of the URSSI conceptualization project, which seeks to understand the diverse challenges and barriers that the research software community faces. The survey received 1194 complete or partial responses to the survey. This dataset is the raw data set of the survey responses exported from Qualtrics and anonymized.
DOI: 10.25345/c5qs1b
title: MassIVE Reanalysis RMSV000000256.306 - CCMS ProteoCarta ModDecode reanalysis of Campylobacter jejuni data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Campylobacter jejuni (RMSV000000256.152) from MSV000083150/PXD010000.
DOI: 10.25345/c5vk2w
title: MassIVE Reanalysis RMSV000000256.305 - CCMS ProteoCarta ModDecode reanalysis of Bacteroides thetaiotaomicron VPI-5482 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacteroides thetaiotaomicron VPI-5482 (RMSV000000256.156) from MSV000083150/PXD010000.
DOI: 10.25345/c5m27f
title: MassIVE Reanalysis RMSV000000256.310 - CCMS ProteoCarta ModDecode reanalysis of Bifidobacterium longum infantis ATCC15697 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bifidobacterium longum infantis ATCC15697 (RMSV000000256.194) from MSV000083150/PXD010000.
DOI: 10.25345/c5gc3s
title: MassIVE Reanalysis RMSV000000256.308 - CCMS ProteoCarta ModDecode reanalysis of Chryseobacterium indologenes data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Chryseobacterium indologenes (RMSV000000256.190) from MSV000083150/PXD010000.
DOI: 10.25345/c56v81
title: MassIVE Reanalysis RMSV000000256.309 - CCMS ProteoCarta ModDecode reanalysis of Bifidobacterium bifidum ATCC29521 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bifidobacterium bifidum ATCC29521 (RMSV000000256.193) from MSV000083150/PXD010000.
DOI: 10.25345/c5bk27
title: MassIVE Reanalysis RMSV000000256.307 - CCMS ProteoCarta ModDecode reanalysis of Cellulomonas gilvus ATCC13127 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Cellulomonas gilvus ATCC13127 (RMSV000000256.154) from MSV000083150/PXD010000.
DOI: 10.5281/zenodo.5542400
title: evaschabibah24/p2plendingdataset: v1.0

description: P2P Lending Dataset
DOI: 10.5281/zenodo.5542399
title: evaschabibah24/p2plendingdataset: v1.0

description: P2P Lending Dataset
DOI: 10.5281/zenodo.5542201
title: Data for "Training data composition affects performance of protein structure analysis algorithms" by A. Derry, K. A. Carpenter, & R. B. Altman

description: <strong>Description</strong> This repository contains all data used in "Training data composition affects performance of protein structure analysis algorithms", published in the Pacific Symposium on Biocomputing 2022 by A. Derry, K. A. Carpenter, & R. B. Altman. The data consists of the following files: ema_zenodo_data.tar.gz: train, validation, and test splits for Estimation of Model Accuracy task, in LMDB format design_zenodo_data.tar.gz: train, validation, and test splits for Protein Sequence Design task, in JSON format enz_cat_res_zenodo_data.tar.gz: train, validation, and test splits for Catalytic Residue and Enzyme Prediction task, in TF record format Details on dataset construction can be found in our paper and dataloaders can be found in our Github repo. <strong>Reference</strong> A. Derry*, K. A. Carpenter*, & R. B. Altman, "Training data composition affects performance of protein structure analysis algorithms", 2021. <strong>Dataset References</strong> Datasets used were derived from the following works: Kryshtafovych, A., Schwede, T., Topf, M., Fidelis, K., & Moult, J. (2019). Critical assessment of methods of protein structure prediction (CASP)—Round XIII. In <em>Proteins: Structure, Function and Bioinformatics</em> (Vol. 87, Issue 12, pp. 1011–1020). https://doi.org/10.1002/prot.25823 Ingraham, J., Garg, V. K., Barzilay, R., & Jaakkola, T. (2019). <em>Generative Models for Graph-Based Protein Design</em>. https://openreview.net/pdf?id=SJgxrLLKOE Furnham, N., Holliday, G. L., de Beer, T. A. P., Jacobsen, J. O. B., Pearson, W. R., & Thornton, J. M. (2014). The Catalytic Site Atlas 2.0: cataloging catalytic sites and residues identified in enzymes. <em>Nucleic Acids Research</em>, <em>42 </em>(Database issue), D485–D489.
DOI: 10.5281/zenodo.5542200
title: Data for "Training data composition affects performance of protein structure analysis algorithms" by A. Derry, K. A. Carpenter, & R. B. Altman

description: <strong>Description</strong> This repository contains all data used in "Training data composition affects performance of protein structure analysis algorithms", published in the Pacific Symposium on Biocomputing 2022 by A. Derry, K. A. Carpenter, & R. B. Altman. The data consists of the following files: ema_zenodo_data.tar.gz: train, validation, and test splits for Estimation of Model Accuracy task, in LMDB format design_zenodo_data.tar.gz: train, validation, and test splits for Protein Sequence Design task, in JSON format enz_cat_res_zenodo_data.tar.gz: train, validation, and test splits for Catalytic Residue and Enzyme Prediction task, in TF record format Details on dataset construction can be found in our paper and dataloaders can be found in our Github repo. <strong>Reference</strong> A. Derry*, K. A. Carpenter*, & R. B. Altman, "Training data composition affects performance of protein structure analysis algorithms", 2021. <strong>Dataset References</strong> Datasets used were derived from the following works: Kryshtafovych, A., Schwede, T., Topf, M., Fidelis, K., & Moult, J. (2019). Critical assessment of methods of protein structure prediction (CASP)—Round XIII. In <em>Proteins: Structure, Function and Bioinformatics</em> (Vol. 87, Issue 12, pp. 1011–1020). https://doi.org/10.1002/prot.25823 Ingraham, J., Garg, V. K., Barzilay, R., & Jaakkola, T. (2019). <em>Generative Models for Graph-Based Protein Design</em>. https://openreview.net/pdf?id=SJgxrLLKOE Furnham, N., Holliday, G. L., de Beer, T. A. P., Jacobsen, J. O. B., Pearson, W. R., & Thornton, J. M. (2014). The Catalytic Site Atlas 2.0: cataloging catalytic sites and residues identified in enzymes. <em>Nucleic Acids Research</em>, <em>42 </em>(Database issue), D485–D489.
DOI: 10.25345/c5327s
title: MassIVE Reanalysis RMSV000000256.311 - CCMS ProteoCarta ModDecode reanalysis of Cellulophaga baltica 18 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 105e2640d598457cb66c6d7d787bf91f]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Cellulophaga baltica 18 (RMSV000000256.158) from MSV000083150/PXD010000.
DOI: 10.7265/f5bv-1z09
title: Inventory of Arctic Rain on Snow Events: Meteorological and Surface Conditions, Version 1
DOI: 10.6084/m9.figshare.16709572
title: Si_Ternary.tif

description: Data for book "Optical Tweezers: Principles and applications"
DOI: 10.5281/zenodo.5542404
title: Cyanopsitta spixii decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5542403
title: Cyanopsitta spixii decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.16709575
title: trajectoryxy.mat

description: Data for book "Optical Tweezers: Principles and Applications"
DOI: 10.6084/m9.figshare.16709578.v1
title: trajectory.mat

description: Data for book: "Optical Tweezers: Principles and Applications"
DOI: 10.6084/m9.figshare.16709578
title: trajectory.mat

description: Data for book: "Optical Tweezers: Principles and Applications"
DOI: 10.25345/c5zc4h
title: MassIVE Reanalysis RMSV000000256.312 - CCMS ProteoCarta ModDecode reanalysis of Alcaligenes faecalis data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Alcaligenes faecalis (RMSV000000256.191) from MSV000083150/PXD010000.
DOI: 10.25345/c5tk2k
title: MassIVE Reanalysis RMSV000000256.314 - CCMS ProteoCarta ModDecode reanalysis of Algoriphagus marincola HL-49 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Algoriphagus marincola HL-49 (RMSV000000256.147) from MSV000083150/PXD010000.
DOI: 10.25345/c5pv9r
title: MassIVE Reanalysis RMSV000000256.313 - CCMS ProteoCarta ModDecode reanalysis of Anaerococcus hydrogenalis DSM 7454 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Anaerococcus hydrogenalis DSM 7454 (RMSV000000256.149) from MSV000083150/PXD010000.
DOI: 10.25345/c5k26r
title: MassIVE Reanalysis RMSV000000256.315 - CCMS ProteoCarta ModDecode reanalysis of Agrobacterium tumefaciens IAM 12048 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Agrobacterium tumefaciens IAM 12048 (RMSV000000256.146) from MSV000083150/PXD010000.
DOI: 10.25345/c5fc4v
title: MassIVE Reanalysis RMSV000000256.319 - CCMS ProteoCarta ModDecode reanalysis of Bacteroides fragilis 638R data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacteroides fragilis 638R (RMSV000000256.153) from MSV000083150/PXD010000.
DOI: 10.25345/c59k2x
title: MassIVE Reanalysis RMSV000000256.316 - CCMS ProteoCarta ModDecode reanalysis of Bifidobacterium longum infantis ATCC15697 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bifidobacterium longum infantis ATCC15697 (RMSV000000256.194) from MSV000083150/PXD010000.
DOI: 10.25345/c55v93
title: MassIVE Reanalysis RMSV000000256.317 - CCMS ProteoCarta ModDecode reanalysis of Bacillus subtilis NCIB3610 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacillus subtilis NCIB3610 (RMSV000000256.151) from MSV000083150/PXD010000.
DOI: 10.25345/c5227g
title: MassIVE Reanalysis RMSV000000256.318 - CCMS ProteoCarta ModDecode reanalysis of Bacillus cereus ATCC14579 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacillus cereus ATCC14579 (RMSV000000256.150) from MSV000083150/PXD010000.
DOI: 10.25345/c5xc3t
title: MassIVE Reanalysis RMSV000000256.320 - CCMS ProteoCarta ModDecode reanalysis of Bifidobacterium bifidum ATCC29521 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bifidobacterium bifidum ATCC29521 (RMSV000000256.193) from MSV000083150/PXD010000.
DOI: 10.25345/c5sk28
title: MassIVE Reanalysis RMSV000000256.321 - CCMS ProteoCarta ModDecode reanalysis of Cellulomonas gilvus ATCC13127 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Cellulomonas gilvus ATCC13127 (RMSV000000256.154) from MSV000083150/PXD010000.
DOI: 10.25952/hy8e-hs94
title: Adaptation tipping points of salinity management for Boro season rice cultivation in the coastal areas of Bangladesh

description: The data sets used for thesis have been divided in four (files or folders) parts such as household surveys/interviews, key informant interviews, focus group discussions and infield salinity measurement with farmers’ perceptions. Transcribed key informant interviews labelled as KIIs and focus group discussions labelled as FGDs. There is also another folder called KIIs analysis in NVivo where NVivo files with attribute/classification sheets in excel also presented to show how KIIs data were analysed in NVivo. In the survey folder excel data sheet for individual chapters (articles) are presented with data of the overall household survey.
description: The data sets used for thesis have been divided in four (files or folders) parts such as household surveys/interviews, key informant interviews, focus group discussions and infield salinity measurement with farmers’ perceptions. Transcribed key informant interviews labelled as KIIs and focus group discussions labelled as FGDs. There is also another folder called KIIs analysis in NVivo where NVivo files with attribute/classification sheets in excel also presented to show how KIIs data were analysed in NVivo. In the survey folder excel data sheet for individual chapters (articles) are presented with data of the overall household survey.
DOI: 10.25345/c5nv9f
title: MassIVE Reanalysis RMSV000000256.322 - CCMS ProteoCarta ModDecode reanalysis of Campylobacter jejuni data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Campylobacter jejuni (RMSV000000256.152) from MSV000083150/PXD010000.
DOI: 10.25345/c5j553
title: MassIVE Reanalysis RMSV000000256.323 - CCMS ProteoCarta ModDecode reanalysis of Bacteroides thetaiotaomicron VPI-5482 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacteroides thetaiotaomicron VPI-5482 (RMSV000000256.156) from MSV000083150/PXD010000.
DOI: 10.25345/c5dc4j
title: MassIVE Reanalysis RMSV000000256.324 - CCMS ProteoCarta ModDecode reanalysis of Bacillus subtilis 168 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Bacillus subtilis 168 (RMSV000000256.148) from MSV000083150/PXD010000.
DOI: 10.25345/c58p0w
title: MassIVE Reanalysis RMSV000000256.325 - CCMS ProteoCarta ModDecode reanalysis of Cellulophaga baltica 18 data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Cellulophaga baltica 18 (RMSV000000256.158) from MSV000083150/PXD010000.
DOI: 10.25345/c54v9s
title: MassIVE Reanalysis RMSV000000256.326 - CCMS ProteoCarta ModDecode reanalysis of Chryseobacterium indologenes data from DeNovo Peptide Identification Deep Learning Training Set [launched by 06197477647e4ad0830ec7596394edab]
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Chryseobacterium indologenes (RMSV000000256.190) from MSV000083150/PXD010000.
DOI: 10.25345/c5156t
title: MassIVE Reanalysis RMSV000000256.327 - CCMS ProteoCarta ModDecode reanalysis of Acidiphilium cryptum JF-5 data from DeNovo Peptide Identification Deep Learning Training Set
title: CCMS ProteoCarta peptidoform interpretation (ModDecode) of Maestro open modification search results for Acidiphilium cryptum JF-5 (RMSV000000256.53) from MSV000083150/PXD010000.
DOI: 10.6084/m9.figshare.16713214
title: Microsatellite data from "Understanding how an amphicarpic species with a mixed mating system responds to fire: a population genetic approach"

description: Microsatellite datasets in GenAlEx format. Pre-fire data is found in the first tab and Post-fire data is in the second tab. The first column indicates the block and the 2nd column indicates the plot. The individual sample ID number is in the final column, separated from the allelic data by a blank column. The numbers represent allelic sizes that the microsatellite loci.
DOI: 10.6084/m9.figshare.16713214.v1
title: Microsatellite data from "Understanding how an amphicarpic species with a mixed mating system responds to fire: a population genetic approach"

description: Microsatellite datasets in GenAlEx format. Pre-fire data is found in the first tab and Post-fire data is in the second tab. The first column indicates the block and the 2nd column indicates the plot. The individual sample ID number is in the final column, separated from the allelic data by a blank column. The numbers represent allelic sizes that the microsatellite loci.
DOI: 10.48366/r144512
title: Surface functionalized PLGA nanoparticles with different moieties to enhance drug delivery across the Blood brain barrier

description: A comparison of different possible surface moieties that can cover the surface of PLGA nanoparticles imparting them the ability to pass across the blood brain barrier.
DOI: 10.3886/e151321
title: Busy People Love Leftovers

description: Waste audit and survey responses to cbsm study
DOI: 10.3886/e151321v1
title: Busy People Love Leftovers

description: Waste audit and survey responses to cbsm study
DOI: 10.5517/ccdc.csd.cc23s5hl
title: CCDC 1959649: Experimental Crystal Structure Determination

description: Related Article: Wen-Wen Zhang, Yun-Peng Jin, Jin-Huan Yu, Bai-Li Zhu, Jian Jiang, Ming-Hui Zuo, Yu-Feng Chen, Jun-Jing Li, Shu-Xin Cui|2021|J.Solid State Chem.|304|122597|doi:10.1016/j.jssc.2021.122597
DOI: 10.5517/ccdc.csd.cc23zw22
title: CCDC 1966084: Experimental Crystal Structure Determination

description: Related Article: Anastasiia M. Afanasenko, Danil V. Krutin, Artur E. Taishev, Alexander S. Novikov, Tatiana G. Chulkova, Ilya E. Kolesnikov, Ilya V. Kornyakov, Taras L. Panikorovskii, Anatoly N. Vereshchagin, Michail N. Elinson|2022|J.Mol.Struct.|1248|131503|doi:10.1016/j.molstruc.2021.131503
DOI: 10.5517/ccdc.csd.cc23zw33
title: CCDC 1966085: Experimental Crystal Structure Determination

description: Related Article: Anastasiia M. Afanasenko, Danil V. Krutin, Artur E. Taishev, Alexander S. Novikov, Tatiana G. Chulkova, Ilya E. Kolesnikov, Ilya V. Kornyakov, Taras L. Panikorovskii, Anatoly N. Vereshchagin, Michail N. Elinson|2022|J.Mol.Struct.|1248|131503|doi:10.1016/j.molstruc.2021.131503
DOI: 10.5517/ccdc.csd.cc244nwv
title: CCDC 1970697: Experimental Crystal Structure Determination

description: Related Article: Anastasiia M. Afanasenko, Danil V. Krutin, Artur E. Taishev, Alexander S. Novikov, Tatiana G. Chulkova, Ilya E. Kolesnikov, Ilya V. Kornyakov, Taras L. Panikorovskii, Anatoly N. Vereshchagin, Michail N. Elinson|2022|J.Mol.Struct.|1248|131503|doi:10.1016/j.molstruc.2021.131503
DOI: 10.5517/ccdc.csd.cc244nxw
title: CCDC 1970698: Experimental Crystal Structure Determination

description: Related Article: Anastasiia M. Afanasenko, Danil V. Krutin, Artur E. Taishev, Alexander S. Novikov, Tatiana G. Chulkova, Ilya E. Kolesnikov, Ilya V. Kornyakov, Taras L. Panikorovskii, Anatoly N. Vereshchagin, Michail N. Elinson|2022|J.Mol.Struct.|1248|131503|doi:10.1016/j.molstruc.2021.131503