cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25t19c
title: CCDC 2020062: Experimental Crystal Structure Determination

description: Related Article: Jimin Han, Jongwon Kim, Jaehoo Lee, Younghun Kim, Sarah Yunmi Lee|2020|J.Org.Chem.|85|15476|doi:10.1021/acs.joc.0c02246
DOI: 10.5517/ccdc.csd.cc26j5tr
title: CCDC 2041344: Experimental Crystal Structure Determination

description: Related Article: F. Desmond, J.F. Gallagher, N. Hehir|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1800|doi:10.1107/S2056989020014413
DOI: 10.5517/ccdc.csd.cc26j5vs
title: CCDC 2041345: Experimental Crystal Structure Determination

description: Related Article: F. Desmond, J.F. Gallagher, N. Hehir|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1800|doi:10.1107/S2056989020014413
DOI: 10.5517/ccdc.csd.cc26j7nn
title: CCDC 2041401: Experimental Crystal Structure Determination

description: Related Article: C.T. Triggs, J.M. Tanski|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1810|doi:10.1107/S2056989020014425
DOI: 10.5517/ccdc.csd.cc26j889
title: CCDC 2041420: Experimental Crystal Structure Determination

description: Related Article: M. Mori, T. Suzuki|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1813|doi:10.1107/S2056989020014437
DOI: 10.5517/ccdc.csd.cc26j89b
title: CCDC 2041421: Experimental Crystal Structure Determination

description: Related Article: M. Mori, T. Suzuki|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1813|doi:10.1107/S2056989020014437
DOI: 10.21258/1560298
title: Inventaire forestier national suisse - Tableau no 897198
DOI: 10.21258/1581008
title: Inventario forestale nazionale svizzero - Tabella n. 896908
DOI: 10.21258/1573346
title: Inventaire forestier national suisse - Tableau no 891897
DOI: 10.5281/zenodo.4321324
title: Supporting Tables for "Utilizing Environmental Tracers to Reduce Groundwater Flow Transport Model Parameter Uncertainties"

description: Supplementary Tables for manuscript "Utilizing Environmental Tracers to Reduce Groundwater Flow Transport Model Parameter Uncertainties" submitted to Water Resources Research June 2020.
DOI: 10.21258/1554287
title: Inventaire forestier national suisse - Tableau no 898706
DOI: 10.21258/1557208
title: Inventaire forestier national suisse - Tableau no 898728
DOI: 10.21258/1612101
title: Inventario forestale nazionale svizzero - Tabella n. 897467
DOI: 10.21258/1559526
title: Inventaire forestier national suisse - Tableau no 891893
DOI: 10.5281/zenodo.4321319
title: Tomato Plants Treated with Systemin Peptide Show Enhanced Levels of Direct and Indirect Defense Associated with Increased Expression of Defense-Related Genes

description: Numerical data that underlies tables, graphs and statistics of the Plants article from Coppola et al., 2019: "Tomato Plants Treated with Systemin Peptide Show Enhanced Levels of Direct and Indirect Defense Associated with Increased Expression of Defense-Related Genes".
DOI: 10.5281/zenodo.4321318
title: Tomato Plants Treated with Systemin Peptide Show Enhanced Levels of Direct and Indirect Defense Associated with Increased Expression of Defense-Related Genes

description: Numerical data that underlies tables, graphs and statistics of the Plants article from Coppola et al., 2019: "Tomato Plants Treated with Systemin Peptide Show Enhanced Levels of Direct and Indirect Defense Associated with Increased Expression of Defense-Related Genes".
DOI: 10.6084/m9.figshare.13370816
title: IM-MS of AnFld-Spy

description: Native Mass spectrometry experiments for AnFld WT and 2A mutant alone and in complex with Spy
DOI: 10.6084/m9.figshare.13370816.v1
title: IM-MS of AnFld-Spy

description: Native Mass spectrometry experiments for AnFld WT and 2A mutant alone and in complex with Spy
DOI: 10.6084/m9.figshare.13374005
title: AUC data

description: AUC data for AnFld WT and 2A mutantAUC data for AnFldWT-Spy complex
DOI: 10.6084/m9.figshare.13374005.v1
title: AUC data

description: AUC data for AnFld WT and 2A mutantAUC data for AnFldWT-Spy complex
DOI: 10.6084/m9.figshare.13370528
title: ITC data for Spy binding to AnFld

description: ITC for binding of Spy (titrant) to AnFldWT (at 10 C), AnFldF98N mutant (10 C) or AnFld2A mutant (5 C)
DOI: 10.6084/m9.figshare.13370528.v1
title: ITC data for Spy binding to AnFld

description: ITC for binding of Spy (titrant) to AnFldWT (at 10 C), AnFldF98N mutant (10 C) or AnFld2A mutant (5 C)
DOI: 10.21258/1550080
title: Inventaire forestier national suisse - Tableau no 892914
DOI: 10.21258/1615223
title: Inventario forestale nazionale svizzero - Tabella n. 902188
DOI: 10.25739/erxg-yn49
title: Genomes_to_Field_Planting_Season_2015_V2

description: Data types in this directory tree are: hybrid and inbred agronomic and performance traits; soil data and weather data collected from the Genomes To Fields (G2F) project sites in the 2015 season. G2F has developed a living infrastructure of researchers across disciplines and a network of field phenotyping sites. During the 2015 growing season, G2F has conducted experiments in over 13,700 plots across 27 unique locations with 33 Principal Investigators. The overall goal is leveraging these datasets to improve phenomic predictability and facilitate the development and deployment of tools and resources that help address fundamental problems of sustainable agricultural productivity. This is a new release of the 2015 G2F data with the addition of phenotypic data for hybrids in IAH1, IAH3, and IAH4 which were not included in the previous 2015 DOI.
DOI: 10.25810/3hvn-ef66.3
title: Danish Newspaper Coverage of Climate Change or Global Warming, 2004-2020 - October 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1595656
title: Inventario forestale nazionale svizzero - Tabella n. 891664
DOI: 10.21258/1561045
title: Inventaire forestier national suisse - Tableau no 897680
DOI: 10.21258/1552089
title: Inventaire forestier national suisse - Tableau no 897669
DOI: 10.34740/kaggle/dsv/1743843
title: Dhaka Traffic Dataset
DOI: 10.21258/1553406
title: Inventaire forestier national suisse - Tableau no 899435
DOI: 10.21258/1536695
title: Inventaire forestier national suisse - Tableau no 892052
DOI: 10.21258/1611029
title: Inventario forestale nazionale svizzero - Tabella n. 897523
DOI: 10.21258/1543429
title: Inventaire forestier national suisse - Tableau no 891871
DOI: 10.21258/1553161
title: Inventaire forestier national suisse - Tableau no 899495
DOI: 10.21258/1540726
title: Inventaire forestier national suisse - Tableau no 892034
DOI: 10.6084/m9.figshare.13369034
title: Lake_Michigan_Silica_Dataset_1988-2019

description: Data set contains vertical profile of dissolved silicate taken between 1988 and 2019 at Fox Point station off Milwaukee, Wisconsin, plus samples from three Milwaukee-area beaches of dissolved silica, suspended biogenic silica and biogenic silica contained in assemblages of <i>Cladophora</i> and associated epiphytes, collected between 2005 and 2019.
DOI: 10.5281/zenodo.3971784
title: Supraglacial debris thickness measurements from Miage Glacier, Italy

description: Two datasets containing 245 point measurements of supraglacial debris thickness on Miage Glacier, Italy. Measurements were made by manual excavation in 2006 and 2007 by Lesley Foster and in 2018 by Rebecca Stewart. The datasets are included here in two formats; (1) a delimited text file, and (2) a .kmz file for Google Earth. The data in each file type are identical. A Google Earth map showing an overview of the data coverage is also included as a jpg. The debris thickness to the ice surface was measured as the distance to the ice from a horizontal reference placed on the unmodified surrounding surface bridging the excavation. Debris thickness data are reported to the nearest 0.01 m. Most of the measurements made in 2007 were recorded along transects of the glacier surface. Each 100-m transect has been given the same grid reference for identification of these data. × × ×
DOI: 10.5281/zenodo.3935685
title: Supraglacial debris temperature measurements from Ngozumpa Glacier, Nepal (2014–2016)

description: Supraglacial debris temperature measurements from a site 1.6 km from the terminus of Ngozumpa Glacier, Nepal, collected between 06 December 2014 and 03 April 2016. Debris temperatures were measured every six hours at 11 thermistors within the debris layer at depths of 0.01 m, 0.2 m, 0.4 m, 0.6 m, 0.8 m, 1.0 m, 1.2 m, 1.4 m, 1.6 m, 1.8 m and 2.0 m from the debris surface. The thickness of the debris layer at this site was 2.0 m, and the lowermost thermistor was installed at the debris-ice interface. Measurements were made using a Geoprecision thermistor array with a stated accuracy of ±0.25°C. ×
DOI: 10.5281/zenodo.3935684
title: Supraglacial debris temperature measurements from Ngozumpa Glacier, Nepal (2014–2016)

description: Supraglacial debris temperature measurements from a site 1.6 km from the terminus of Ngozumpa Glacier, Nepal, collected between 06 December 2014 and 03 April 2016. Debris temperatures were measured every six hours at 11 thermistors within the debris layer at depths of 0.01 m, 0.2 m, 0.4 m, 0.6 m, 0.8 m, 1.0 m, 1.2 m, 1.4 m, 1.6 m, 1.8 m and 2.0 m from the debris surface. The thickness of the debris layer at this site was 2.0 m, and the lowermost thermistor was installed at the debris-ice interface. Measurements were made using a Geoprecision thermistor array with a stated accuracy of ±0.25°C. ×
DOI: 10.5281/zenodo.3935687
title: Supraglacial debris temperature measurements from Ngozumpa Glacier, Nepal (2001–2002)

description: Supraglacial debris temperature measurements from a site 1.5 km from the terminus of Ngozumpa Glacier, Nepal, collected between 13 November 2001 and 12 October 2002. Debris temperatures were measured every 30 minutes at six thermistors within the debris layer at depths of 0.0 m, 0.22 m, 0.33 m, 0.45 m, 0.65 m and 0.77 m from the debris surface. The estimated thickness of the debris layer at this site was 2.20 m. Measurements were made using Gemini thermistors and Tinytag Plus TGP-0073 loggers with a stated accuracy of ±0.3°C at 0°C. These data were first presented in: Nicholson L and Benn DI (2013) Properties of natural supraglacial debris in relation to modelling sub‐debris ice ablation. <em>Earth Surface Processes and Landforms</em> 38(5), 490–501 (doi:10.1002/esp.3299) ×
DOI: 10.5281/zenodo.3935686
title: Supraglacial debris temperature measurements from Ngozumpa Glacier, Nepal (2001–2002)

description: Supraglacial debris temperature measurements from a site 1.5 km from the terminus of Ngozumpa Glacier, Nepal, collected between 13 November 2001 and 12 October 2002. Debris temperatures were measured every 30 minutes at six thermistors within the debris layer at depths of 0.0 m, 0.22 m, 0.33 m, 0.45 m, 0.65 m and 0.77 m from the debris surface. The estimated thickness of the debris layer at this site was 2.20 m. Measurements were made using Gemini thermistors and Tinytag Plus TGP-0073 loggers with a stated accuracy of ±0.3°C at 0°C. These data were first presented in: Nicholson L and Benn DI (2013) Properties of natural supraglacial debris in relation to modelling sub‐debris ice ablation. <em>Earth Surface Processes and Landforms</em> 38(5), 490–501 (doi:10.1002/esp.3299) ×
DOI: 10.5281/zenodo.4321389
title: Canopy temperature dataset, NYC

description: The shapefile contains a grid of the canopy temperature at a spatial resolution of 70 meters, across New York City. The structure of this shapefile could be described as the following: 'nrow': indexes of row<br> 'ncol': indexes of col<br> 'value_fraction': canopy LST at pixel-level<br> 'indep_value': original LST at pixel-level<br> 'date': date<br> 'anomoly': canopy LST anomalies = ['out_value'] - ['indep_value'].mean() <br> 'anomoly_ori': domain anomalies = ['indep_value'] - ['indep_value'].mean()
DOI: 10.5281/zenodo.4321388
title: Canopy temperature dataset, NYC

description: The shapefile contains a grid of the canopy temperature at a spatial resolution of 70 meters, across New York City. The structure of this shapefile could be described as the following: 'nrow': indexes of row<br> 'ncol': indexes of col<br> 'value_fraction': canopy LST at pixel-level<br> 'indep_value': original LST at pixel-level<br> 'date': date<br> 'anomoly': canopy LST anomalies = ['out_value'] - ['indep_value'].mean() <br> 'anomoly_ori': domain anomalies = ['indep_value'] - ['indep_value'].mean()
DOI: 10.5281/zenodo.4321369
title: Canopy temperature dataset

description: The shapefile contains a grid of the canopy temperature at a spatial resolution of 70 meters, across New York City. The structure of this shapefile could be described as the following: 'nrow': indexes of row<br> 'ncol': indexes of col<br> 'value_fraction': canopy LST at pixel-level<br> 'indep_value': original LST at pixel-level<br> 'date': date<br> 'anomoly': canopy LST anomalies = ['out_value'] - ['indep_value'].mean() <br> 'anomoly_ori': domain anomalies = ['indep_value'] - ['indep_value'].mean()
DOI: 10.5281/zenodo.4321368
title: Canopy temperature dataset

description: The shapefile contains a grid of the canopy temperature at a spatial resolution of 70 meters, across New York City. The structure of this shapefile could be described as the following: 'nrow': indexes of row<br> 'ncol': indexes of col<br> 'value_fraction': canopy LST at pixel-level<br> 'indep_value': original LST at pixel-level<br> 'date': date<br> 'anomoly': canopy LST anomalies = ['out_value'] - ['indep_value'].mean() <br> 'anomoly_ori': domain anomalies = ['indep_value'] - ['indep_value'].mean()
DOI: 10.15468/mwr5yc
title: Rhaetian (Late Triassic) ostracods (Crustacea, Ostracoda) from the offshore prolongation of the North Dobrogean Orogen into the Romanian Black Sea shelf

description: This dataset contains the digitized treatments in Plazi based on the original journal article Forel, Marie-Béatrice, Grădinaru, Eugen (2020): Rhaetian (Late Triassic) ostracods (Crustacea, Ostracoda) from the offshore prolongation of the North Dobrogean Orogen into the Romanian Black Sea shelf. European Journal of Taxonomy 727: 1-83, DOI: https://doi.org/10.5852/ejt.2020.727.1183
DOI: 10.21258/1567547
title: Inventaire forestier national suisse - Tableau no 898977
DOI: 10.21258/1544556
title: Inventaire forestier national suisse - Tableau no 898150
DOI: 10.21258/1579750
title: Inventario forestale nazionale svizzero - Tabella n. 891876
DOI: 10.6084/m9.figshare.13374041
title: NMR data

description: 2 D [1H-15N] HSQC TROSY NMR experiments:1. HSQC- TROSY spectra of [U-15N] labeled AnFld WT and 2A mutant2. HSQC-TROSY based titration of unlabeled Spy into [U-2H, 15N] labeled AnFldWT
DOI: 10.6084/m9.figshare.13374041.v1
title: NMR data

description: 2 D [1H-15N] HSQC TROSY NMR experiments:1. HSQC- TROSY spectra of [U-15N] labeled AnFld WT and 2A mutant2. HSQC-TROSY based titration of unlabeled Spy into [U-2H, 15N] labeled AnFldWT
DOI: 10.21258/1530674
title: Inventaire forestier national suisse - Tableau no 897211
DOI: 10.21258/1589402
title: Inventario forestale nazionale svizzero - Tabella n. 902142
DOI: 10.21258/1577552
title: Inventario forestale nazionale svizzero - Tabella n. 892019
DOI: 10.6084/m9.figshare.13373741
title: Expectations of Healthcare Professionals for Robots during COVID-19 - Survey Data

description: Survey information collected for the study entitled "Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments during the COVID-19 Pandemic"<br>This dataset is shared under the following license: Creative Commons — Attribution-NonCommercial-ShareAlike 4.0 International — CC BY-NC-SA 4.0
DOI: 10.6084/m9.figshare.13373741.v1
title: Expectations of Healthcare Professionals for Robots during COVID-19 - Survey Data

description: Survey information collected for the study entitled "Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments during the COVID-19 Pandemic"
DOI: 10.6073/pasta/f5ab8671727e2481b57384ba70124e41
title: Interagency Ecological Program Zooplankton Study

description: The Zooplankton Study was implemented in 1972 to assess fish food resources in the upper San Francisco Estuary (SFE). Mandated by the State Water Resources Control Board's Water Right Decision D-1641, the study is conducted jointly by the California Department of Fish and Wildlife and the California Department of Water Resources under the guidance and management of the Interagency Ecological Program. For nearly 5 decades, this study has monitored the zooplankton community in the region, tracking abundance trends and distributional patterns, detecting and monitoring introduced species, and documenting changes in community composition. The Zooplankton Study operates three gear types to sample macro, meso, and micro-zooplankton across the upper SFE on a monthly basis.
DOI: 10.21258/1560285
title: Inventaire forestier national suisse - Tableau no 898931
DOI: 10.25810/3hvn-ef66.4
title: Danish Newspaper Coverage of Climate Change or Global Warming, 2004-2020 - November 2020
DOI: 10.21258/1573049
title: Inventaire forestier national suisse - Tableau no 891816
DOI: 10.21258/1545742
title: Inventaire forestier national suisse - Tableau no 891863
DOI: 10.21258/1593319
title: Inventario forestale nazionale svizzero - Tabella n. 902033
DOI: 10.21258/1563729
title: Inventaire forestier national suisse - Tableau no 902078
DOI: 10.6084/m9.figshare.13363448
title: Supplementary Table S1

description: This supplementart table to the article 'Convergences and divergences in operationalizing the health-related indicators of the 2030 agenda for sustainable development' (Silveira et al.) aims at clarifying the convergences and divergences in the operationalization of the health-related SDG indicators according to five key global institutions: the World Health Organization (WHO), the World Bank (WB), the Pan American Health Organization (PAHO), the Global Board of Disease (GBD), and the Sustainable Development Solutions Network (SDSN). The compiled list of health-related indicators goes beyond those in SDG 3 – “Ensuring a healthy life and promoting well-being at all ages” – and its 13 targets and 27 indicators – to encompass a total of 60 indicators (in 38 targets and 8 goals) that these institutions associate with health. The analysis spans the themes covered and metrics of the indicators presented both in the institutions’ lists and online platforms, confronting their choices with the official SDG indicators and the operationalized indicators in the official dissemination platform (UNDESA). Understanding where the views of these institutions diverge and converge lend important insights for the strategic organization of the international community for the achievement of the 2030 Agenda’s health targets.
DOI: 10.25810/qt7k-6r09.18
title: Swedish Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - October 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1580535
title: Inventario forestale nazionale svizzero - Tabella n. 891928
DOI: 10.21258/1609359
title: Inventario forestale nazionale svizzero - Tabella n. 892062
DOI: 10.5517/ccdc.csd.cc1zgdxr
title: CCDC 1831105: Experimental Crystal Structure Determination

description: Related Article: Suparna Tripathi, Samiul Islam, Saikat Kumar Seth, Antonio Bauzá, Antonio Frontera, Subrata Mukhopadhyay|2020|CrystEngComm|22|8171|doi:10.1039/D0CE01356K
DOI: 10.5517/ccdc.csd.cc1zgdys
title: CCDC 1831106: Experimental Crystal Structure Determination

description: Related Article: Suparna Tripathi, Samiul Islam, Saikat Kumar Seth, Antonio Bauzá, Antonio Frontera, Subrata Mukhopadhyay|2020|CrystEngComm|22|8171|doi:10.1039/D0CE01356K
DOI: 10.5517/ccdc.csd.cc1zgdzt
title: CCDC 1831107: Experimental Crystal Structure Determination

description: Related Article: Suparna Tripathi, Samiul Islam, Saikat Kumar Seth, Antonio Bauzá, Antonio Frontera, Subrata Mukhopadhyay|2020|CrystEngComm|22|8171|doi:10.1039/D0CE01356K
DOI: 10.5517/ccdc.csd.cc1ztc27
title: CCDC 1841619: Experimental Crystal Structure Determination

description: Related Article: Soumen Singha, Somen Goswami, Sanjay Kumar Dey, Rajkumar Jana, Parthapratim Ray, Indrajit Saha, Corrado Rizzoli, Parthapratim Bag, Sanjay Kumar, Rajat Saha|2020|CrystEngComm|22|8197|doi:10.1039/D0CE01102A
DOI: 10.5517/ccdc.csd.cc1ztc5b
title: CCDC 1841622: Experimental Crystal Structure Determination

description: Related Article: Soumen Singha, Somen Goswami, Sanjay Kumar Dey, Rajkumar Jana, Parthapratim Ray, Indrajit Saha, Corrado Rizzoli, Parthapratim Bag, Sanjay Kumar, Rajat Saha|2020|CrystEngComm|22|8197|doi:10.1039/D0CE01102A
DOI: 10.5517/ccdc.csd.cc1ztc6c
title: CCDC 1841623: Experimental Crystal Structure Determination

description: Related Article: Soumen Singha, Somen Goswami, Sanjay Kumar Dey, Rajkumar Jana, Parthapratim Ray, Indrajit Saha, Corrado Rizzoli, Parthapratim Bag, Sanjay Kumar, Rajat Saha|2020|CrystEngComm|22|8197|doi:10.1039/D0CE01102A
DOI: 10.5517/ccdc.csd.cc23qdx5
title: CCDC 1957957: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Ivanov, Svetlana V. Martynovskaya, Victoria S. Shcherbakova, Igor A. Ushakov, Tatyana N. Borodina, Alexander S. Bobkov, Nadezhda M. Vitkovskaya|2020|Org.Chem.Front.|7|4019|doi:10.1039/D0QO00762E
DOI: 10.5517/ccdc.csd.cc24pbfm
title: CCDC 1986710: Experimental Crystal Structure Determination

description: Related Article: Kanu Das, Eileen Yasmin, Babulal Das, Hemant Kumar Srivastava, Akshai Kumar|2020|Cat.Sci.Tech.|10|8347|doi:10.1039/D0CY01679A
DOI: 10.5517/ccdc.csd.cc24pbgn
title: CCDC 1986711: Experimental Crystal Structure Determination

description: Related Article: Kanu Das, Eileen Yasmin, Babulal Das, Hemant Kumar Srivastava, Akshai Kumar|2020|Cat.Sci.Tech.|10|8347|doi:10.1039/D0CY01679A
DOI: 10.5517/ccdc.csd.cc24ty1z
title: CCDC 1991131: Experimental Crystal Structure Determination

description: Related Article: Jayanta Nanda|2020|CSD Communication|||
description: Related Article: Souvik Misra, Pijush Singh, Ankita Das, Paula Brandão, Pathik Sahoo, Nayim Sepay, Gourab Bhattacharjee, Pallab Datta, Ajit K. Mahapatra, Biswarup Satpati, Jayanta Nanda|2020|Mat.Advs.|1|3532|doi:10.1039/D0MA00584C
DOI: 10.5517/ccdc.csd.cc25kmbq
title: CCDC 2012933: Experimental Crystal Structure Determination

description: Related Article: Chandrajeet Mohapatra, Heidar Darmandeh, Henning Steinert, Bert Mallick, Kai‐Stephan Feichtner, Viktoria H. Gessner|2020|Chem.-Eur.J.|26|15145|doi:10.1002/chem.202004242
DOI: 10.5517/ccdc.csd.cc25kmcr
title: CCDC 2012934: Experimental Crystal Structure Determination

description: Related Article: Chandrajeet Mohapatra, Heidar Darmandeh, Henning Steinert, Bert Mallick, Kai‐Stephan Feichtner, Viktoria H. Gessner|2020|Chem.-Eur.J.|26|15145|doi:10.1002/chem.202004242
DOI: 10.5517/ccdc.csd.cc25kmds
title: CCDC 2012935: Experimental Crystal Structure Determination

description: Related Article: Chandrajeet Mohapatra, Heidar Darmandeh, Henning Steinert, Bert Mallick, Kai‐Stephan Feichtner, Viktoria H. Gessner|2020|Chem.-Eur.J.|26|15145|doi:10.1002/chem.202004242
DOI: 10.5517/ccdc.csd.cc25kmft
title: CCDC 2012936: Experimental Crystal Structure Determination

description: Related Article: Chandrajeet Mohapatra, Heidar Darmandeh, Henning Steinert, Bert Mallick, Kai‐Stephan Feichtner, Viktoria H. Gessner|2020|Chem.-Eur.J.|26|15145|doi:10.1002/chem.202004242
DOI: 10.5517/ccdc.csd.cc25kmgv
title: CCDC 2012937: Experimental Crystal Structure Determination

description: Related Article: Chandrajeet Mohapatra, Heidar Darmandeh, Henning Steinert, Bert Mallick, Kai‐Stephan Feichtner, Viktoria H. Gessner|2020|Chem.-Eur.J.|26|15145|doi:10.1002/chem.202004242