cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24r6gl
title: CCDC 1988509: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6hm
title: CCDC 1988510: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6jn
title: CCDC 1988511: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6kp
title: CCDC 1988512: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6lq
title: CCDC 1988513: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6mr
title: CCDC 1988514: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6ns
title: CCDC 1988515: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6pt
title: CCDC 1988516: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6qv
title: CCDC 1988517: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5517/ccdc.csd.cc24r6rw
title: CCDC 1988518: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Shuichi Nomoto, Kazuto Takaishi, Tadashi Ema|2020|Chem.-Eur.J.|26|13016|doi:10.1002/chem.202001463
DOI: 10.5281/zenodo.4088778
title: Data from: Excess Electronic Recoil Events in XENON1T

description: This file provides data points described in the publication of Phys. Rev. D 102, 072004 (2020), "Excess electronic recoil events in XENON1T” and is made available by the XENON Collaboration.
description: {"references": ["Data points from Phys. Rev. D 102, 072004 (2020), doi: 10.1103/PhysRevD.102.072004"]}
DOI: 10.6084/m9.figshare.13103225
title: additional_figure_data_

description: Spearman Correlation
DOI: 10.5285/b13199d2-9737-481e-9c1a-95e736eaa5db
title: A high resolution record of temperature in a tidepool at Rothera Point Antarctica, from Feb 1999 to May 2000.

description: Temperature data were collected from a tidepool at Rothera Point, Antarctica every two minutes from February 1999 to May 2000, with the aim of documenting tidal, diurnal and seasonal variability.
description: The data were collected with a thermistor deployed in the deepest part of a tidepool on East Beach, Rothera Point, Antarctica. The thermistor measured water temperature every 10 seconds, and these data were averaged every two minutes. The two-minute average was stored, yielding 720 data points for every 24 hour period. Data collection started on 3 February 1999, and continued until the thermistor failed on 13 May 2000, with a gap in the data from 17 to 29 June 1999, caused by a battery failure. Occasional out-of-range data (recorded as -6999) were recoded as missing data (*).
description: Data were recorded with a Campbell CR10 data logger, SM19 data storage module and Campbell 107 thermistor probe. Daily statistics were calculated with Minitab (version 18: www.minitab.com).
description: Immediately after download, the daily mean, minimum and maximum temperatures were calculated and stored as a separate data set. When the data were reanalysed (in 2019) these statistics were recalculated from the raw (2-minute average) data; the statistics were identical to those calculated after download. In 2019 two blocks of raw data were found to be unreadable and unrecoverable, and so only the daily statistics calculated after download are available. Data missing from 1999-06-20 to 1999-06-29 (battery failure) For two periods, 1999-03-01 to 1999-03-19 and 1999-06-01 to 1999-06-19, only daily summary statistics available
DOI: 10.5281/zenodo.4095279
title: Uncertainty-aware MBT strategies: Dataset

description: This is the anonymized dataset containing raw data of the experiments obtained by running the Uncertainty-aware MBT module on a number of case studies (i.e., MDP models having different structural complexity) contained in this package.
DOI: 10.5281/zenodo.3368521
title: Uncertainty-aware MBT strategies: Dataset

description: This is the anonymized dataset containing raw data of the experiments obtained by running the Uncertainty-aware MBT module on a number of case studies (i.e., MDP models having different structural complexity) contained in this package.
DOI: 10.18112/openneuro.ds003170.v2.0.0
title: changepoint fmri
DOI: 10.5281/zenodo.4095483
title: Tabular representation of weather and Housing data used in EDA

description: This is the historical weather data of North America recorded in 2012.
DOI: 10.5281/zenodo.4095482
title: Tabular representation of weather and Housing data used in EDA

description: This is the historical weather data of North America recorded in 2012.
DOI: 10.5281/zenodo.4095435
title: Supporting datasets used in the Geophysical Research - Oceans entitled "Variability of dissolved oxygen in the bottom layer of the southern Senegalese shelf"

description: This archive contains text files corresponding to datasets used in the Geophysical Research-Oceans paper entitled "Variability of dissolved oxygen in the bottom layer of the southern Senegalese shelf" by Abdoul Wahab Tall, Eric Machu, Vincent Echevin, Xavier Capet, Alice Pietri, Khassoum Corréa, Alban Lazar The data are in standard text file format, which are readily readable using standard text tools. Variables names/content/dimensions and units are described in the text metadata.
DOI: 10.5281/zenodo.4095481
title: Memory tracing, profiling and autotuning for containerised cloud functions

description: This dataset contains CSV files with the raw measurements of 4x10 traces as well as scripts and reference data for distinguishing two usage profiles based on raw measurements of 2x20 traces. It accompanies the publication «Resource Management for Cloud Functions with Memory Tracing, Profiling and Autotuning» presented at WoSC6 @ Middleware 2020.
description: Reproducing the data requires the scripts published at https://doi.org/10.5281/zenodo.3911303.
DOI: 10.5281/zenodo.4095480
title: Memory tracing, profiling and autotuning for containerised cloud functions

description: This dataset contains CSV files with the raw measurements of 4x10 traces as well as scripts and reference data for distinguishing two usage profiles based on raw measurements of 2x20 traces. It accompanies the publication «Resource Management for Cloud Functions with Memory Tracing, Profiling and Autotuning» presented at WoSC6 @ Middleware 2020.
description: Reproducing the data requires the scripts published at https://doi.org/10.5281/zenodo.3911303.
DOI: 10.5281/zenodo.4072700
title: Data for "Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network"

description: <strong>Data for the paper "Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network"</strong> GitHub: https://github.com/gauchm/mts-lstm This dataset contains the hourly NLDAS forcings and USGS streamflow data. For training with our codebase, we recommend using the combined NetCDF file, but you can also use the csv files (but it will take much longer to load the data). <em>Related Datasets: </em>https://doi.org/10.5281/zenodo.4071885 contains the models trained with the forcings and streamflow from this dataset.
DOI: 10.5517/ccdc.csd.cc24sb4f
title: CCDC 1989584: Experimental Crystal Structure Determination

description: Related Article: Yao Ma, Baoxi Li, Qing Wan, Zhiming Wang, Benzhong Tang|2020|CSD Communication|||
description: Related Article: Yao Ma, Baoxi Li, Kexin Zhang, Qing Wan, Zoran Džolić, Zhiming Wang, Ben Zhong Tang|2020|J.Mater.Chem.C|8|13705|doi:10.1039/D0TC03665J
DOI: 10.5517/ccdc.csd.cc24sb5g
title: CCDC 1989585: Experimental Crystal Structure Determination

description: Related Article: Yao Ma, Baoxi Li, Qing Wan, Zhiming Wang, Benzhong Tang|2020|CSD Communication|||
description: Related Article: Yao Ma, Baoxi Li, Kexin Zhang, Qing Wan, Zoran Džolić, Zhiming Wang, Ben Zhong Tang|2020|J.Mater.Chem.C|8|13705|doi:10.1039/D0TC03665J
DOI: 10.5517/ccdc.csd.cc24sv71
title: CCDC 1990083: Experimental Crystal Structure Determination

description: Related Article: Artem A. Babaryk, Mohamed Haouas, Olena Khaynakova, Erik Elkaïm, Patricia Horcajada|2020|Cryst.Growth Des.|20|6510|doi:10.1021/acs.cgd.0c00698
DOI: 10.5517/ccdc.csd.cc24t1bc
title: CCDC 1990272: Experimental Crystal Structure Determination

description: Related Article: Axel Straube, Peter Coburger, Luis Dütsch, Evamarie Hey-Hawkins|2020|Chemical Science|11|10657|doi:10.1039/D0SC03604H
DOI: 10.17632/zt9pfmmm3p.1
title: Data for: Reservoir characterization and 3D modeling of the Aptian Alamein Formation in North Razzak field (North Western Desert, Egypt)

description: Well logs data
DOI: 10.25345/c5vn3z
title: MassIVE MSV000086307 - Mass_spectrometry_data_for_SP1_study
title: This submission contains the mass spectrometry files for the manuscript that describes the functional characterization of SP1. AP-MS experiments were performed from human HEK293 cells and MS files were acquired on an LTQ-Orbitrap Velos mass spectrometer
DOI: 10.17632/wwn26nhwbb.1
title: Data for: Clinical and radiological characteristics of ultrasonic humidifier lung and summer-type hypersensitivity pneumonitis
DOI: 10.17632/wkbk2y2m9z.1
title: Data for: Experimental Weathering of a Volcaniclastic Critical Zone Profile: Key Role of Colloidal Constituents in Aqueous Geochemical Response

description: Experimental weathering analytical data for weathering experiments of cores from the Jemez River Basin Critical Zone Observatory. Data are for time periods covering 1 y of experimental weathering.
DOI: 10.17632/pzn4vh2drh.1
title: Data for: System-Level Prognosis and Health Monitoring Modeling Framework and Software Implementation for Gas Pipeline System Integrity Management

description: DISCRETIZED NODES OF THE DBN INTERNAL AND EXTERNAL CORROSION MODELS
DOI: 10.17632/v89x8pxmgd.1
title: Data for: Wear Performance of Incoloy 800HT and Inconel 617 in Various Surface Conditions for High-Temperature Gas-Cooled Reactor Components

description: Data associated to the figures in "Wear Performance of Incoloy 800HT and Inconel 617 in Various Surface Conditions for High-Temperature Gas-Cooled Reactor Components"
DOI: 10.5285/9f615353-c621-4216-865e-7d38a9b21e2c
title: Pelagic trophic network in the Scotia Sea (2006-2009)

description: Among all possible interaction types, trophic interactions are easily observable and essential in terms of energy transfer, and thus binary networks have arisen as the most straightforward method to describe complex ecological communities. These food-web models also inform on the ecosystem dynamics and function, and the patterns arising from food web topology can be indicators for ecosystem stability. We present a comprehensive pelagic network for the Scotia Sea underpinned by surveys and dietary studies conducted in the Scotia Sea in the last century. Selection of the trophic links followed a protocol based on taxonomy and geographic location, and was further refined based on the consumer and resource depth ranges and their body size ratios. The resulting network consists on 228 nodes and 10880 links which represent the main trophic paths in the Scotia Sea ecosystem and can serve as a basis for ecosystem modelling in the Scotia Sea or comparison with other ecosystems. Funding was provided by NERC Highlight Topic grant NE/N005937/1 and NERC Fellowship NE/L011840/1.
description: The metaweb is primarily based on data gathered during the Discovery surveys (2006-2009) and complemented through a literature research to identify consumer-resource interactions in the Scotia Sea and Southern Ocean. Subsequently, we instigated a step-wise procedure based on taxonomy and geographic distribution for allocating interactions to each node in the network. The resources identified in stomach contents were often described to a lower taxonomic resolution than the taxa in our list of nodes. In such instances, we included links to all the taxa in our list of nodes that fell within that taxonomic group (e.g. if a predator was shown to feed on the copepod genus Clausocalanus, we would include feeding links between that predator and all Clausocalanus species in our metaweb). Note that we only followed this procedure up to the class level, i.e. we did not include links to all taxa in the case of phyla such as Crustacea or Mollusca. To avoid overestimating the number of links, we applied two filters to our list of links. (1) Only consumer-resource pairs whose vertical distribution is known to overlap were kept as links. (2) Feeding links were removed if the consumer-resource body mass ratio was unrealistically large or small.
description: R software v.3.5.3
description: We tested the integrity of the network through a series of simulations in which between 1 and 25 nodes were randomly deleted (999 permutations without replacement).
DOI: 10.6084/m9.figshare.13103495
title: Questionnaire online supplement.xlsx

description: A spreadsheet showing the prevalence and citation impact of articles containing questionnaire/s in their titles, abstracts and keywords, by Scopus broad field in years 1996 to 2019.
DOI: 10.6084/m9.figshare.13103495.v1
title: Questionnaire online supplement.xlsx

description: A spreadsheet showing the prevalence and citation impact of articles containing questionnaire/s in their titles, abstracts and keywords, by Scopus broad field in years 1996 to 2019.
DOI: 10.5281/zenodo.4095548
title: Supplement (interactive Excel tool) to MAGIC Deliverable 6.4 'Intervention directed towards environmental protection: Biodiversity conservation on agricultural land'

description: Interactive Excel data sheets to analyse potential interventions (i.e. changes in land use type and intensity) in the Dutch dairy production system towards conserving biodiversity. The tool uses the Dutch dairy sector as a case study and represents the current land use by dairy farmers in the Netherlands. The measures applied result in different landscapes that satisfy different biodiversity targets. At the same time, the tool measures the (negative) impact on food production. This interactive Excel tool is a supplement to: Kok A., Ripoll Bosch R., de Olde E.M., Muscat A., de Boer I.J.M. (2020), 'Intervention directed towards environmental protection: Biodiversity conservation on agricultural land', MAGIC (H2020–GA 689669) Project Deliverable 6.4, 24 February 2020, available online: https://magic-nexus.eu/documents/d64-intervention-directed-towards-environmental-protection.
DOI: 10.5281/zenodo.4095547
title: Supplement (interactive Excel tool) to MAGIC Deliverable 6.4 'Intervention directed towards environmental protection: Biodiversity conservation on agricultural land'

description: Interactive Excel data sheets to analyse potential interventions (i.e. changes in land use type and intensity) in the Dutch dairy production system towards conserving biodiversity. The tool uses the Dutch dairy sector as a case study and represents the current land use by dairy farmers in the Netherlands. The measures applied result in different landscapes that satisfy different biodiversity targets. At the same time, the tool measures the (negative) impact on food production. This interactive Excel tool is a supplement to: Kok A., Ripoll Bosch R., de Olde E.M., Muscat A., de Boer I.J.M. (2020), 'Intervention directed towards environmental protection: Biodiversity conservation on agricultural land', MAGIC (H2020–GA 689669) Project Deliverable 6.4, 24 February 2020, available online: https://magic-nexus.eu/documents/d64-intervention-directed-towards-environmental-protection.
DOI: 10.6084/m9.figshare.13020569
title: Protocol data (R version)

description: We published 3 protocols illustrating how MetaNeighbor can be used to quantify cell type replicability across single cell transcriptomic datasets.<br>The data files included here are needed to run the R version of the protocols available on Github (https://github.com/gillislab/MetaNeighbor-Protocol) in RMarkdown (.Rmd) and Jupyter (.ipynb) notebook format. To run the protocols, download the protocols on Github, download the data on Figshare, place the data and protocol files in the same directory, then run the notebooks in Rstudio or Jupyter.<br>The scripts used to generate the data are included in the Github directory. Briefly: - full_biccn_hvg.rds contains a single cell transcriptomic dataset published by the Brain Initiative Cell Census Network (in SingleCellExperiment format). It combines data from 7 datasets obtained in the mouse primary motor cortex (https://www.biorxiv.org/content/10.1101/2020.02.29.970558v2). Note that this dataset only contains highly variable genes. - biccn_hvgs.txt: highly variable genes from the BICCN dataset described above (computed with the MetaNeighbor library). - biccn_gaba.rds: same dataset as full_biccn_hvg.rds, but restricted to GABAergic neurons. The dataset contains all genes common to the 7 BICCN datasets (not just highly variable genes). - go_mouse.rds: gene ontology annotations, stored as a list of gene symbols (one element per gene set).- functional_aurocs.txt: results of the MetaNeighbor functional analysis in protocol 3.
DOI: 10.6084/m9.figshare.13020569.v1
title: Protocol data (R version)

description: We published 3 protocols illustrating how MetaNeighbor can be used to quantify cell type replicability across single cell transcriptomic datasets.<br>The data files included here are needed to run the R version of the protocols available on Github (https://github.com/gillislab/MetaNeighbor-Protocol) in RMarkdown (.Rmd) and Jupyter (.ipynb) notebook format. To run the protocols, download the protocols on Github, download the data on Figshare, place the data and protocol files in the same directory, then run the notebooks in Rstudio or Jupyter.<br>The scripts used to generate the data are included in the Github directory. Briefly: - full_biccn_hvg.rds contains a single cell transcriptomic dataset published by the Brain Initiative Cell Census Network (in SingleCellExperiment format). It combines data from 7 datasets obtained in the mouse primary motor cortex (https://www.biorxiv.org/content/10.1101/2020.02.29.970558v2). Note that this dataset only contains highly variable genes. - biccn_hvgs.txt: highly variable genes from the BICCN dataset described above (computed with the MetaNeighbor library). - biccn_gaba.rds: same dataset as full_biccn_hvg.rds, but restricted to GABAergic neurons. The dataset contains all genes common to the 7 BICCN datasets (not just highly variable genes). - go_mouse.rds: gene ontology annotations, stored as a list of gene symbols (one element per gene set).
DOI: 10.5517/ccdc.csd.cc21qjnz
title: CCDC 1898491: Experimental Crystal Structure Determination

description: Related Article: William Cullen, Hiroki Takezawa, Makoto Fujita|2019|Angew.Chem.,Int.Ed.|58|9171|doi:10.1002/anie.201904752
DOI: 10.5517/ccdc.csd.cc21wl2m
title: CCDC 1903340: Experimental Crystal Structure Determination

description: Related Article: Xiangquan Hu,  Jie Chai,  Chen Zhang,  Jinxin Lang,  Steven P. Kelley,  Sisi Feng,  Bin Liu,  David A. Atwood,  Jerry L. Atwood|2019|J.Am.Chem.Soc.|141|9151|doi:10.1021/jacs.9b02857
DOI: 10.5517/ccdc.csd.cc2205pz
title: CCDC 1906800: Experimental Crystal Structure Determination

description: Related Article: Zi-Ang Nan, Ying Xiao, Xi-Yan Liu, Tan Wang, Xiao-Ling Cheng, Yang Yang, Zhen Lei, Quan-Ming Wang|2019|Chem.Commun.|55|6771|doi:10.1039/C9CC03533H
DOI: 10.5517/ccdc.csd.cc222n83
title: CCDC 1909174: Experimental Crystal Structure Determination

description: Related Article: Jannick Jacobsen, Bastian Achenbach, Helge Reinsch, Simon Smolders, Florian-David Lange, Gernot Friedrichs, Dirk De Vos, Norbert Stock|2019|Dalton Trans.|48|8433|doi:10.1039/C9DT01542F
DOI: 10.5517/ccdc.csd.cc222n94
title: CCDC 1909175: Experimental Crystal Structure Determination

description: Related Article: Jannick Jacobsen, Bastian Achenbach, Helge Reinsch, Simon Smolders, Florian-David Lange, Gernot Friedrichs, Dirk De Vos, Norbert Stock|2019|Dalton Trans.|48|8433|doi:10.1039/C9DT01542F
DOI: 10.5517/ccdc.csd.cc222nb5
title: CCDC 1909176: Experimental Crystal Structure Determination

description: Related Article: Jannick Jacobsen, Bastian Achenbach, Helge Reinsch, Simon Smolders, Florian-David Lange, Gernot Friedrichs, Dirk De Vos, Norbert Stock|2019|Dalton Trans.|48|8433|doi:10.1039/C9DT01542F
DOI: 10.5517/ccdc.csd.cc21jfmn
title: CCDC 1892631: Experimental Crystal Structure Determination

description: Related Article: Xiaoxia Fan, Dan Zhang, Shiyu Jiang, Heng Wang, Lin-Ting Lin, Bo Zheng, Wen-Hua Xu, Yanxia Zhao, Benjamin P. Hay, Yi-Tsu Chan, Xiao-Juan Yang, Xiaopeng Li, Biao Wu|2019|Chemical Science|10|6278|doi:10.1039/C9SC02012H
DOI: 10.5517/ccdc.csd.cc2405gt
title: CCDC 1966375: Experimental Crystal Structure Determination

description: Related Article: Jhumpa Mukherjee, Arunava Sengupta, Rabindranath Mukherjee|2020|Inorg.Chim.Acta|513|119899|doi:10.1016/j.ica.2020.119899
DOI: 10.5517/ccdc.csd.cc2405hv
title: CCDC 1966376: Experimental Crystal Structure Determination

description: Related Article: Jhumpa Mukherjee, Arunava Sengupta, Rabindranath Mukherjee|2020|Inorg.Chim.Acta|513|119899|doi:10.1016/j.ica.2020.119899
DOI: 10.5517/ccdc.csd.cc2405jw
title: CCDC 1966377: Experimental Crystal Structure Determination

description: Related Article: Jhumpa Mukherjee, Arunava Sengupta, Rabindranath Mukherjee|2020|Inorg.Chim.Acta|513|119899|doi:10.1016/j.ica.2020.119899
DOI: 10.5517/ccdc.csd.cc2405kx
title: CCDC 1966378: Experimental Crystal Structure Determination

description: Related Article: Jhumpa Mukherjee, Arunava Sengupta, Rabindranath Mukherjee|2020|Inorg.Chim.Acta|513|119899|doi:10.1016/j.ica.2020.119899
DOI: 10.5517/ccdc.csd.cc2405ly
title: CCDC 1966379: Experimental Crystal Structure Determination

description: Related Article: Jhumpa Mukherjee, Arunava Sengupta, Rabindranath Mukherjee|2020|Inorg.Chim.Acta|513|119899|doi:10.1016/j.ica.2020.119899
DOI: 10.5517/ccdc.csd.cc24047k
title: CCDC 1966337: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Mikherdov, Roman A. Popov, Mikhail A. Kinzhalov, Matti Haukka, Valeriy A. Polukeev, Vadim P. Boyarskiy, Andreas Roodt|2021|Inorg.Chim.Acta|514|120012|doi:10.1016/j.ica.2020.120012
DOI: 10.5517/ccdc.csd.cc24048l
title: CCDC 1966338: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Mikherdov, Roman A. Popov, Mikhail A. Kinzhalov, Matti Haukka, Valeriy A. Polukeev, Vadim P. Boyarskiy, Andreas Roodt|2021|Inorg.Chim.Acta|514|120012|doi:10.1016/j.ica.2020.120012
DOI: 10.5517/ccdc.csd.cc24t1df
title: CCDC 1990274: Experimental Crystal Structure Determination

description: Related Article: Axel Straube, Peter Coburger, Luis Dütsch, Evamarie Hey-Hawkins|2020|Chemical Science|11|10657|doi:10.1039/D0SC03604H
DOI: 10.5517/ccdc.csd.cc24t1np
title: CCDC 1990282: Experimental Crystal Structure Determination

description: Related Article: Axel Straube, Peter Coburger, Luis Dütsch, Evamarie Hey-Hawkins|2020|Chemical Science|11|10657|doi:10.1039/D0SC03604H