cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25nh5j
title: CCDC 2015687: Experimental Crystal Structure Determination

description: Related Article: Jian-Cheng Wang, Xuan Kan, Jin-Yan Shang, Hua Qiao, Yu-Bin Dong|2020|J.Am.Chem.Soc.|142|16915|doi:10.1021/jacs.0c07461
DOI: 10.5517/ccdc.csd.cc25nh6k
title: CCDC 2015688: Experimental Crystal Structure Determination

description: Related Article: Jian-Cheng Wang, Xuan Kan, Jin-Yan Shang, Hua Qiao, Yu-Bin Dong|2020|J.Am.Chem.Soc.|142|16915|doi:10.1021/jacs.0c07461
DOI: 10.5281/zenodo.4170604
title: WarpX Accelerated Nodes Parallel Computing Paper

description: This dataset contains the inputs, outputs, job submission scripts, and executables<br> used to create the Figures in "Porting WarpX to GPU-accelerated platforms" by A. Myers<br> et. al, submitted to Parallel Computing as part of the ECP Special Issue on Transitioning<br> to Accelerated nodes. These results were obtained using the October, 2020 release tags of WarpX and AMReX,<br> available on Github here: https://github.com/ECP-WarpX/WarpX and here: https://github.com/AMReX-Codes/amrex The following module files were loaded on Summit: 1) hsi/5.0.2.p5 2) xalt/1.2.0 3) lsf-tools/2.0 4) darshan-runtime/3.1.7<br> 5) DefApps 6) cuda/10.1.243 7) gcc/6.4.0 8) spectrum-mpi/10.3.1.2-20200121 To use nsight-compute for the roofline plots, we also loaded: nsight-compute/2020.1.2 Manifest: BinScan: contains material used to make Figure 1. To generate the figure, use the<br> Jupyter notebook called "bin_size.ipynb". StrongScaling: contains material used to make Figure 5. To generate the figure, use the<br> Jupyter notebook called "strong_scaling.ipynb". WeakScalingCPU: contains material used to make Figure 4. To generate the figure, use the<br> Jupyter notebook called "weak_scaling.ipynb". WeakScalingGPU: contains material used to make Figure 5. To generate the figure, use the<br> Jupyter notebook called "weak_scaling.ipynb". Roofline: contains material used to make the roofline plots (Figures 2 and 3). This<br> includes output generated using nsight-compute with WarpX and python scripts for<br> processing and plotting these output files. These scripts and methodology originally<br> come from Charlene Yang at NERSC. The file "script.sh" was used to generate the<br> profiler output
DOI: 10.5281/zenodo.4199996
title: Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels

description: Dataset accompanying "Ryan Brate, Paul Groth and Marieke van Erp (2020) Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels. LaTeCH-CLfL 2020. Barcelona, December 2020." Abstract: Environmental factors determine the smells we perceive, but societal factors factors shape the importance, sentiment and biases we give to them. Descriptions of smells in text, or as we call them `smell experiences', offer a window into these factors, but they must first be identified. To the best of our knowledge, no tool exists to extract references to smell experiences from text. In this paper, we present two variations on a semi-supervised approach to identify smell experiences in English literature. The combined set of patterns from both implementations offer significantly better performance than a keyword-based baseline.
DOI: 10.5281/zenodo.4199995
title: Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels

description: Dataset accompanying "Ryan Brate, Paul Groth and Marieke van Erp (2020) Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels. LaTeCH-CLfL 2020. Barcelona, December 2020." Abstract: Environmental factors determine the smells we perceive, but societal factors factors shape the importance, sentiment and biases we give to them. Descriptions of smells in text, or as we call them `smell experiences', offer a window into these factors, but they must first be identified. To the best of our knowledge, no tool exists to extract references to smell experiences from text. In this paper, we present two variations on a semi-supervised approach to identify smell experiences in English literature. The combined set of patterns from both implementations offer significantly better performance than a keyword-based baseline.
DOI: 10.13012/b2idb-0095812_v1
title: AllanLab fluidigm pipeline test dataset

description: The Allan Lab has published a Fluidigm pipeline online. This is the url: https://github.com/HPCBio/allan-fluidigm-pipeline. This url includes a tutorial for running the pipeline. However it does not have test datasets yet. This tarball hosted at the Illinois Data Bank is the dataset that completes the github tutorial. It includes inputs (custom database of tick pathogens and fluidigm raw reads) and output files (tables of samples with taxonomic classifications).
DOI: 10.13012/b2idb-6257171_v1
title: Confluence Density Effects Simulation Database

description: This data set shows how density effects have an important influence on mixing at a small river confluence. The data consist of results of simulations using a detached eddy simulation model.
DOI: 10.13012/b2idb-4004605_v1
title: Data from: Supertree-like methods for genome-scale species tree estimation

description: This repository includes scripts and datasets for Chapter 6 of my PhD dissertation, " Supertree-like methods for genome-scale species tree estimation," that had not been published previously. This chapter is based on the article: Molloy, E.K. and Warnow, T. "FastMulRFS: Fast and accurate species tree estimation under generic gene duplication and loss models." Bioinformatics, In press. https://doi.org/10.1093/bioinformatics/btaa444. The results presented in my PhD dissertation differ from those in the Bioinformatics article, because I re-estimated species trees using FastMulRF and MulRF on the same datasets in the original repository (https://doi.org/10.13012/B2IDB-5721322_V1). To re-estimate species trees, (1) a seed was specified when running MulRF, and (2) a different script (specifically preprocess_multrees_v3.py from https://github.com/ekmolloy/fastmulrfs/releases/tag/v1.2.0) was used for preprocessing gene trees (which were then given as input to MulRF and FastMulRFS). Note that this preprocessing script is a re-implementation of the original algorithm for improved speed (a bug fix also was implemented). Finally, it was brought to my attention that the simulation in the Bioinformatics article differs from prior studies, because I scaled the species tree by 10 generations per year (instead of 0.9 years per generation, which is ~1.1 generations per year). I re-simulated datasets (true-trees-with-one-gen-per-year-psize-10000000.tar.gz and true-trees-with-one-gen-per-year-psize-50000000.tar.gz) using 0.9 years per generation to quantify the impact of this parameter change (see my PhD dissertation or the supplementary materials of Bioinformatics article for discussion).
DOI: 10.21227/qv9f-x842
title: Fix submit1

description: fix first submit
DOI: 10.25345/c5rf5q
title: MassIVE MSV000086401 - CMMB (Carboxylate Modified Magnetic Bead) -based isopropanol gradient peptide fractionation (CIF) enables rapid and robust off-line peptide mixture fractionation in bottom-up proteomics
title: HEK293 cells lysates fractionated by various different methods including newly developed CIF method described in the paper.
DOI: 10.5281/zenodo.4201065
title: Analysis workflow for sensitivity analysis and scenario discovery

description: Overview of the methods used in the manuscript "Going beyond variance-based global sensitivity analysis in life cycle assessment", in Jupyter Notebook format.
DOI: 10.6084/m9.figshare.13175153
title: R0219_20180310a_videos

description: Rat 0219, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.25810/55w4-4a03
title: Anomalously-Strong Jet Streaks in the NCEP Climate Forecast System Reanalysis over North America and the North Atlantic during 1979-2018

description: This dataset includes a list of dates that correspond to anomalously-strong jet streaks over North America and the North Atlantic within the NCEP Climate Forecast System Reanalysis between 1979-2018 ("strong_jets_90per_24h_filter_comma.out"). The anomalously-strong jet streaks occur on dates that rank in the top 10% of all analysis times based on the areal coverage of 250-hPa wind speeds in excess of 100 m/s. The location of each jet streak on the dates indicated in the aforementioned file are described by a latitude-longitude centroid contained in "strong_jets_90per_centroids_24h_filter.out". The netCDF files in the dataset describe the results from two Weather Research and Forecasting (WRF) model simulations of an anomalously-strong jet streak on 22 December 2013. "wrfout_2013decjet.nc" describes a model simulation of the 2013 event that was conducted with full physics, whereas "wrfout_2013decjet_nolh_new.nc" describes a model simulation of the 2013 event conducted with no microphysical heating and with the cumulus parameterization turned off.
DOI: 10.5281/zenodo.3905426
title: Test dataset for your library

description: The dataset contains test data for the your library. The file contents are: B0329+54.fil: Contains two single pulses observed using the Greenburst backend FRB180417.fil: Observed with ASKAP in the Incoherent summed mode.
description: {"references": ["Agarwal et al (2019) doi:10.1093/mnras/stz2574", "Agarwal et al (2020) doi:10.1093/mnras/staa1927"]}
DOI: 10.5281/zenodo.3905425
title: Test dataset for your library

description: The dataset contains test data for the your library. The file contents are: B0329+54.fil: Contains two single pulses observed using the Greenburst backend FRB180417.fil: Observed with ASKAP in the Incoherent summed mode.
description: {"references": ["Agarwal et al (2019) doi:10.1093/mnras/stz2574", "Agarwal et al (2020) doi:10.1093/mnras/staa1927"]}
DOI: 10.5281/zenodo.4196419
title: Assessing the Evolution of Code Samples

description: To accelerate the learning process of technical resources by developers, code samples have been provided and maintained by organizations, such as Amazon, Google, and Microsoft. Code samples are special software projects made available in public repositories with the main goal of teaching developers how to use features of frameworks, libraries, or other technical resources. Since code samples are software projects themselves, they evolve over time. However, if their changes do not preserve essential characteristics such as size and simplicity during evolution, code samples may lose their purpose. In this work, we investigate how code samples evolve and how evolution may impact developers' doubts. We conduct an exploratory study on the evolution of 159 code samples provided by Android, AWS, Azure, and Spring Boot, assessing metrics related to size and complexity as well as questions asked by developers about these code samples in Stack Overflow. We observe that organizations may not be paying due attention to vital characteristics of code samples during their evolution. Our analysis also indicates that these changes may cause an upgrowth of developers' questions about code samples.
DOI: 10.5281/zenodo.4157771
title: Assessing the Evolution of Code Samples

description: To accelerate the learning process of technical resources by developers, code samples have been provided and maintained by organizations, such as Amazon, Google, and Microsoft. Code samples are special software projects made available in public repositories with the main goal of teaching developers how to use features of frameworks, libraries, or other technical resources. Since code samples are software projects themselves, they evolve over time. However, if their changes do not preserve essential characteristics such as size and simplicity during evolution, code samples may lose their purpose. In this work, we investigate how code samples evolve and how evolution may impact developers' doubts. We conduct an exploratory study on the evolution of 159 code samples provided by Android, AWS, Azure, and Spring Boot, assessing metrics related to size and complexity as well as questions asked by developers about these code samples in Stack Overflow. We observe that organizations may not be paying due attention to vital characteristics of code samples during their evolution. Our analysis also indicates that these changes may cause an upgrowth of developers' questions about code samples.
DOI: 10.6084/m9.figshare.13175153.v1
title: R0219_20180310a_videos

description: Rat 0219, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5883/ds-odoger
title: Coverage and quality of DNA barcode references for Central and Northern European Odonata

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-eugraci2
title: Hidden diversity on our doorstep: Probing species richness in European gracillariid moths with DNA barcoding and ddRAD sequencing

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.13175156
title: R0219_20180312a_videos

description: Rat 0219, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5883/ds-isrageom
title: The Lepidoptera of Israel, Vol. 3: Geometridae

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-bejsp
title: First record of the invasive frog Eleutherodactylus johnstonei (Anura: Eleutherodactylidae) in Sao Paulo, Brazil.

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-phcen
title: Ecological niche modeling and new distribution records of the central dwarf Frog P. centralis Bokermann, 1962 (Anura, Leptodactylidae, Leiuperinae) with comments on its taxonomic status.

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-dbmb
title: Diversity, phylogeny, and DNA barcoding of brachyuran crabs in artificially created mangrove environments.

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-deeur384
title: Three new species of Depressariinae (Lepidoptera) from Europe and Western Asia and establishment of three new synonyms

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-dbgb
title: Assessing Discrimination Efficiency of Mitochondrial Gene COI for Species or Breed Level Identification of Genus Capra

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-vgds16
title: A new eyeless Mexican genus from the nonmonophyletic twilight zone of true weevils (Coleoptera: Curculionidae: Brachycerinae)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-gaeg
title: Molecular data suggest multiple origins and diversification times of freshwater gammarids on the Aegean Archipelago

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-ttseur
title: A revision of European species of the genus Tetrastichus Haliday (Hymenoptera: Eulophidae) using integrative taxonomy

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-visma
title: Molecular and morphological studies identify a new genus within the Heterolepismatinae (Zygentoma: Lepismatidae)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aax0939
title: Overview of Barcode Index Number - BOLD:AAX0939

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:adz8375
title: Overview of Barcode Index Number - BOLD:ADZ8375

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:adz8637
title: Overview of Barcode Index Number - BOLD:ADZ8637

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:ado2155
title: Overview of Barcode Index Number - BOLD:ADO2155

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:acx8629
title: Overview of Barcode Index Number - BOLD:ACX8629

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aee7580
title: Overview of Barcode Index Number - BOLD:AEE7580

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5517/ccdc.csd.cc20ky7s
title: CCDC 1864285: Experimental Crystal Structure Determination

description: Related Article: Mukhammet N. Gabdulkhaev, Marat A. Ziganshin, Aleksey V. Buzyurov, Christoph Schick, Svetlana E. Solovieva, Elena V. Popova, Aidar T. Gubaidullin, Valery V. Gorbatchuk|2020|CrystEngComm|22|7002|doi:10.1039/D0CE01070G
DOI: 10.5517/ccdc.csd.cc20ky8t
title: CCDC 1864286: Experimental Crystal Structure Determination

description: Related Article: Mukhammet N. Gabdulkhaev, Marat A. Ziganshin, Aleksey V. Buzyurov, Christoph Schick, Svetlana E. Solovieva, Elena V. Popova, Aidar T. Gubaidullin, Valery V. Gorbatchuk|2020|CrystEngComm|22|7002|doi:10.1039/D0CE01070G
DOI: 10.5517/ccdc.csd.cc20ky9v
title: CCDC 1864287: Experimental Crystal Structure Determination

description: Related Article: Mukhammet N. Gabdulkhaev, Marat A. Ziganshin, Aleksey V. Buzyurov, Christoph Schick, Svetlana E. Solovieva, Elena V. Popova, Aidar T. Gubaidullin, Valery V. Gorbatchuk|2020|CrystEngComm|22|7002|doi:10.1039/D0CE01070G
DOI: 10.5517/ccdc.csd.cc20kybw
title: CCDC 1864288: Experimental Crystal Structure Determination

description: Related Article: Mukhammet N. Gabdulkhaev, Marat A. Ziganshin, Aleksey V. Buzyurov, Christoph Schick, Svetlana E. Solovieva, Elena V. Popova, Aidar T. Gubaidullin, Valery V. Gorbatchuk|2020|CrystEngComm|22|7002|doi:10.1039/D0CE01070G
DOI: 10.5517/ccdc.csd.cc24dd21
title: CCDC 1978112: Experimental Crystal Structure Determination

description: Related Article: Shengwang Xia, Zhilei Jiang, Yuan Huang, Dawei Li, Yanfeng Cui, Yahong Li, Yuanzhi Xia|2020|Inorg.Chem.|59|14031|doi:10.1021/acs.inorgchem.0c01831
DOI: 10.5517/ccdc.csd.cc25sqg5
title: CCDC 2019757: Experimental Crystal Structure Determination

description: Related Article: Gregory B. Boursalian, Eise Nijboer, Ruth Dorel, Lukas Pfeifer, Omer Markovich, Alex Blokhuis, Ben L. Feringa|2020|J.Am.Chem.Soc.|142|16868|doi:10.1021/jacs.0c08249
DOI: 10.5517/ccdc.csd.cc25sqh6
title: CCDC 2019758: Experimental Crystal Structure Determination

description: Related Article: Gregory B. Boursalian, Eise Nijboer, Ruth Dorel, Lukas Pfeifer, Omer Markovich, Alex Blokhuis, Ben L. Feringa|2020|J.Am.Chem.Soc.|142|16868|doi:10.1021/jacs.0c08249
DOI: 10.5517/ccdc.csd.cc25sqj7
title: CCDC 2019759: Experimental Crystal Structure Determination

description: Related Article: Gregory B. Boursalian, Eise Nijboer, Ruth Dorel, Lukas Pfeifer, Omer Markovich, Alex Blokhuis, Ben L. Feringa|2020|J.Am.Chem.Soc.|142|16868|doi:10.1021/jacs.0c08249
DOI: 10.5517/ccdc.csd.cc25sqk8
title: CCDC 2019760: Experimental Crystal Structure Determination

description: Related Article: Gregory B. Boursalian, Eise Nijboer, Ruth Dorel, Lukas Pfeifer, Omer Markovich, Alex Blokhuis, Ben L. Feringa|2020|J.Am.Chem.Soc.|142|16868|doi:10.1021/jacs.0c08249
DOI: 10.5517/ccdc.csd.cc25sql9
title: CCDC 2019761: Experimental Crystal Structure Determination

description: Related Article: Gregory B. Boursalian, Eise Nijboer, Ruth Dorel, Lukas Pfeifer, Omer Markovich, Alex Blokhuis, Ben L. Feringa|2020|J.Am.Chem.Soc.|142|16868|doi:10.1021/jacs.0c08249
DOI: 10.5517/ccdc.csd.cc25sqmb
title: CCDC 2019762: Experimental Crystal Structure Determination

description: Related Article: Gregory B. Boursalian, Eise Nijboer, Ruth Dorel, Lukas Pfeifer, Omer Markovich, Alex Blokhuis, Ben L. Feringa|2020|J.Am.Chem.Soc.|142|16868|doi:10.1021/jacs.0c08249
DOI: 10.5517/ccdc.csd.cc25sqnc
title: CCDC 2019763: Experimental Crystal Structure Determination

description: Related Article: Gregory B. Boursalian, Eise Nijboer, Ruth Dorel, Lukas Pfeifer, Omer Markovich, Alex Blokhuis, Ben L. Feringa|2020|J.Am.Chem.Soc.|142|16868|doi:10.1021/jacs.0c08249
DOI: 10.5517/ccdc.csd.cc25sqpd
title: CCDC 2019764: Experimental Crystal Structure Determination

description: Related Article: Gregory B. Boursalian, Eise Nijboer, Ruth Dorel, Lukas Pfeifer, Omer Markovich, Alex Blokhuis, Ben L. Feringa|2020|J.Am.Chem.Soc.|142|16868|doi:10.1021/jacs.0c08249
DOI: 10.5517/ccdc.csd.cc24dd10
title: CCDC 1978111: Experimental Crystal Structure Determination

description: Related Article: Shengwang Xia, Zhilei Jiang, Yuan Huang, Dawei Li, Yanfeng Cui, Yahong Li, Yuanzhi Xia|2020|Inorg.Chem.|59|14031|doi:10.1021/acs.inorgchem.0c01831
DOI: 10.5517/ccdc.csd.cc24dd65
title: CCDC 1978116: Experimental Crystal Structure Determination

description: Related Article: Shengwang Xia, Zhilei Jiang, Yuan Huang, Dawei Li, Yanfeng Cui, Yahong Li, Yuanzhi Xia|2020|Inorg.Chem.|59|14031|doi:10.1021/acs.inorgchem.0c01831
DOI: 10.5517/ccdc.csd.cc25xrrm
title: CCDC 2023641: Experimental Crystal Structure Determination

description: Related Article: Guangfeng Li, Lei Wang, Liang Wu, Zhewen Guo, Jun Zhao, Yuhang Liu, Ruixue Bai, Xuzhou Yan|2020|J.Am.Chem.Soc.|142|14343|doi:10.1021/jacs.0c06416
DOI: 10.5517/ccdc.csd.cc25yp50
title: CCDC 2024522: Experimental Crystal Structure Determination

description: Related Article: Zhifang Guo, Victoria L. Blair, Glen B. Deacon, Peter C. Junk|2020|Dalton Trans.|49|13588|doi:10.1039/D0DT03044A
DOI: 10.5517/ccdc.csd.cc25yp83
title: CCDC 2024525: Experimental Crystal Structure Determination

description: Related Article: Zhifang Guo, Victoria L. Blair, Glen B. Deacon, Peter C. Junk|2020|Dalton Trans.|49|13588|doi:10.1039/D0DT03044A
DOI: 10.5517/ccdc.csd.cc25ypd7
title: CCDC 2024529: Experimental Crystal Structure Determination

description: Related Article: Zhifang Guo, Victoria L. Blair, Glen B. Deacon, Peter C. Junk|2020|Dalton Trans.|49|13588|doi:10.1039/D0DT03044A
DOI: 10.5517/ccdc.csd.cc25ypf8
title: CCDC 2024530: Experimental Crystal Structure Determination

description: Related Article: Zhifang Guo, Victoria L. Blair, Glen B. Deacon, Peter C. Junk|2020|Dalton Trans.|49|13588|doi:10.1039/D0DT03044A
DOI: 10.5517/ccdc.csd.cc25yplf
title: CCDC 2024535: Experimental Crystal Structure Determination

description: Related Article: Zhifang Guo, Victoria L. Blair, Glen B. Deacon, Peter C. Junk|2020|Dalton Trans.|49|13588|doi:10.1039/D0DT03044A
DOI: 10.5517/ccdc.csd.cc25yptn
title: CCDC 2024542: Experimental Crystal Structure Determination

description: Related Article: Zhifang Guo, Victoria L. Blair, Glen B. Deacon, Peter C. Junk|2020|Dalton Trans.|49|13588|doi:10.1039/D0DT03044A