cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/kk87-k351
title: VisInt-VHM

description: To ensure the usability and reliability of the collected data, one Hikvision monitoring camera (iDS-TCV900-AE/25) is deployed at the entrance of Taijia Expressway in Shanxi province in China for image capturing. This camera is installed on the roadside pole with a height of 5.8 meters and uses the infrared flash as the supplementary lighting. The captured images cover two lanes of the expressway, with the resolution being 4096*2160. All images are captured during the period of November 2019 to April 2020.We have collected 10,000 images of front-view hazmat vehicles, considering three aspects of variations. Firstly, there are totally 24 kinds of vehicles with diverse appearances, as shown in Fig.(a). Secondly, these images are captured under different weather and light conditions, which may severely degenerate the quality of resulting images, as shown in Fig.(b). Thirdly, it is very likely that images are captured with dynamic shooting angles, which also poses some difficulty for hazmat marker detection, as shown in Fig.(c). These vehicle images totally consist of 20,023 hazmat markers, including triangle light markers and license plates with different postures and positions, as shown in Fig. (d). All markers in images are annotated with bound-boxes by LabelImg. It should be noted that though there are a wide range of variations about these images, there is only one kind of label for them, since our focus is vehicle hazmat marker detection rather than classification.The download link of the dataset is as follows:Baidu network disk：https://pan.baidu.com/s/16jMFTJJJ6XpjSQBROugvgw key：1234
DOI: 10.15468/s53rv5
title: First report of the order Mysida (Crustacea) in Antarctic marine ice caves, with description of a new species of Pseudomma and investigations on the taxonomy, morphology and life habits of Mysidetes species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wittmann, Karl J., Chevaldonne, Pierre (2021): First report of the order Mysida (Crustacea) in Antarctic marine ice caves, with description of a new species of Pseudomma and investigations on the taxonomy, morphology and life habits of Mysidetes species. ZooKeys 1079: 145-227, DOI: http://dx.doi.org/10.3897/zookeys.1079.76412, URL: http://dx.doi.org/10.3897/zookeys.1079.76412
DOI: 10.25646/9486
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.5812986
title: rainfall data of some cities in Iraq

description: These measured rainfall data were collected and obtained from several cities in Iraq.
DOI: 10.5281/zenodo.5812985
title: rainfall data of some cities in Iraq

description: These measured rainfall data were collected and obtained from several cities in Iraq.
DOI: 10.6084/m9.figshare.17710802.v1
title: RoeglinRawdata.xlsx

description: This study aimed to assess whether a high-intensive exergame represents an enjoyable training tool for children in the elementary school setting. Furthermore, the study evaluated whether gender, body mass index (BMI), waist-to-height ratio (WHtR), fitness level, weekly physical activity level, and general interest in sports moderate perceived enjoyment during the 12-week intervention.Thirty fifth- and six-grade students (10.5±0.7 years; 50% girls) participated in this study. During a baseline assessment, anthropometric measurements and a 20-m shuttle run test were conducted. Throughout the intervention period, the students took part in 15-20-minute exergaming sessions (ES) in the ExerCube twice a week during school hours. Heart rate (HR) was recorded continuously during the ES. Furthermore, perceived enjoyment was assessed after an ES in the second and 12th week of the intervention using the “Physical Activity Enjoyment Scale” (PACES). Additionally, perceived enjoyment was evaluated after a randomly selected physical education (PE) class in week 2.The results reveal that perceived enjoyment was significantly higher during the ES compared to the PE class (p&lt;0.001). None of the covariates showed a significant effect. Furthermore, no significant changes in perceived enjoyment (p=0.164) were detected over time. However, the modest changes over time were significantly affected by BMI (p=0.027), WHtR (p=0.007), and weekly activity level (p=0.016). During the ES, the students reached a mean HR of 87.1±1.9% of their individual maximum HR. In conclusion, the ExerCube provides a promising tool for elementary schools to promote enjoyable moderate-to-vigorous physical activity during the school day.
DOI: 10.5517/ccdc.csd.cc2909sf
title: CCDC 2115464: Experimental Crystal Structure Determination

description: Related Article: Huangjie Lu, Miaomiao Xu, Zhaofa Zheng, Qiao Liu, Junfeng Qian, Zhi-Hui Zhang, Ming-Yang He, Yuan Qian, Jian-Qiang Wang, Jian Lin|2021|Inorg.Chem.|60|18629|doi:10.1021/acs.inorgchem.1c03182
DOI: 10.5517/ccdc.csd.cc2909tg
title: CCDC 2115465: Experimental Crystal Structure Determination

description: Related Article: Huangjie Lu, Miaomiao Xu, Zhaofa Zheng, Qiao Liu, Junfeng Qian, Zhi-Hui Zhang, Ming-Yang He, Yuan Qian, Jian-Qiang Wang, Jian Lin|2021|Inorg.Chem.|60|18629|doi:10.1021/acs.inorgchem.1c03182
DOI: 10.25505/fiz.icsd.cc2958wn
title: CSD 2120241: Experimental Crystal Structure Determination

description: Related Article: Zi-Xia Chen, Ya-Nan Li, Wen-Dong Yao, Wenlong Liu, Sheng-Ping Guo|2022|J.Alloys Compd.|899|163255|doi:10.1016/j.jallcom.2021.163255
DOI: 10.5281/zenodo.5813029
title: Jemma Properties Methods - NTID

description: Jemma Properties Methods - NTID &gt; file: Jemma_Properties_Methods_NTID.csv<br> &gt; size: 336.7 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_identifiers
DOI: 10.5281/zenodo.5812706
title: Jemma Properties Methods - NTID

description: Jemma Properties Methods - NTID &gt; file: Jemma_Properties_Methods_NTID.csv<br> &gt; size: 336.7 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_identifiers
DOI: 10.5281/zenodo.5813032
title: Jemma Properties Methods - NMTK

description: Jemma Properties Methods - NMTK &gt; file: Jemma_Properties_Methods_NMTK.csv<br> &gt; size: 342.5 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_tokens
DOI: 10.5281/zenodo.5813034
title: Jemma Properties Methods - NMRT

description: Jemma Properties Methods - NMRT &gt; file: Jemma_Properties_Methods_NMRT.csv<br> &gt; size: 333.3 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_returns
DOI: 10.5281/zenodo.5812721
title: Jemma Properties Methods - NMTK

description: Jemma Properties Methods - NMTK &gt; file: Jemma_Properties_Methods_NMTK.csv<br> &gt; size: 342.5 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_tokens
DOI: 10.5281/zenodo.5812723
title: Jemma Properties Methods - NMRT

description: Jemma Properties Methods - NMRT &gt; file: Jemma_Properties_Methods_NMRT.csv<br> &gt; size: 333.3 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_returns
DOI: 10.5519/qd.bzxdbadu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (92 records)
DOI: 10.5281/zenodo.5812975
title: Functional genomics analysis to disentangle the role of genetic variants in major depression - Supplementary Tables

description: This entry contains the data generated by the study "Functional genomics analysis to disentangle the role of genetic variants in major depression" that are part of the Supplementary information of the article describing the study. The entry contains the following data: <strong>Supplementary Tables 1-6</strong> Supplementary Table 1. Causal GVs for MD. Supplementary Table 2. pGenes functional and disease enrichment analysis. Supplementary Table 3. Fine-mapped MD causal GVs disease enrichment analysis. Supplementary Table 4. Colocalizing GWAS-eQTLs association to disease. Supplementary Table 5. TFBS analysis. Supplementary Table 6. GVs state annotation.
description: Additional funding not supported by Open-Aire Instituto de Salud Carlos III-Fondo Social Europeo, FI18/00034 Instituto de Salud Carlos III, MV20 European Regional Development Fund (ERDF) and Generalitat de Catalunya, Project 001-P-001647 - Valorisation of EGA for Industry and Society Agència de Gestió d'Ajuts Universitaris i de Recerca Generalitat de Catalunya, 2017SGR00519 Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica–Universidad Nacional Autónoma de México (PAPIIT-UNAM), IA203021 CONACYT-FORDECYT-PRONACES, 11311 Instituto de Salud Carlos III, PT13/0001/0023
DOI: 10.5281/zenodo.5813053
title: Jemma Properties Methods - NMPR

description: Jemma Properties Methods - NMPR &gt; file: Jemma_Properties_Methods_NMPR.csv<br> &gt; size: 333.3 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_parameters
DOI: 10.5281/zenodo.5812741
title: Jemma Properties Methods - NMPR

description: Jemma Properties Methods - NMPR &gt; file: Jemma_Properties_Methods_NMPR.csv<br> &gt; size: 333.3 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_parameters
DOI: 10.5281/zenodo.5813055
title: Jemma Properties Methods - NMOP

description: Jemma Properties Methods - NMOP &gt; file: Jemma_Properties_Methods_NMOP.csv<br> &gt; size: 334.5 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_operators
DOI: 10.5281/zenodo.5812743
title: Jemma Properties Methods - NMOP

description: Jemma Properties Methods - NMOP &gt; file: Jemma_Properties_Methods_NMOP.csv<br> &gt; size: 334.5 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_operators
DOI: 10.5281/zenodo.5813054
title: Jemma Properties Methods - NMLT

description: Jemma Properties Methods - NMLT &gt; file: Jemma_Properties_Methods_NMLT.csv<br> &gt; size: 333.4 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_literals
DOI: 10.5281/zenodo.5812747
title: Jemma Properties Methods - NMLT

description: Jemma Properties Methods - NMLT &gt; file: Jemma_Properties_Methods_NMLT.csv<br> &gt; size: 333.4 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_literals
DOI: 10.5281/zenodo.5813028
title: Jemma Properties Methods - NUID

description: Jemma Properties Methods - NUID &gt; file: Jemma_Properties_Methods_NUID.csv<br> &gt; size: 335.6 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_unique_identifiers
DOI: 10.5281/zenodo.5812704
title: Jemma Properties Methods - NUID

description: Jemma Properties Methods - NUID &gt; file: Jemma_Properties_Methods_NUID.csv<br> &gt; size: 335.6 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, num_unique_identifiers
DOI: 10.5281/zenodo.5813081
title: Jemma Properties Methods - MXIN

description: Jemma Properties Methods - MXIN &gt; file: Jemma_Properties_Methods_MXIN.csv<br> &gt; size: 267.0 MB<br> &gt; num_rows: 6,845,749<br> &gt; columns: method_id, max_indent
DOI: 10.5281/zenodo.5812757
title: Jemma Properties Methods - MXIN

description: Jemma Properties Methods - MXIN &gt; file: Jemma_Properties_Methods_MXIN.csv<br> &gt; size: 267.0 MB<br> &gt; num_rows: 6,845,749<br> &gt; columns: method_id, max_indent
DOI: 10.5281/zenodo.5813078
title: Notarius kessleri RB0020 GRAHAM

description: .
DOI: 10.5281/zenodo.5813077
title: Notarius kessleri RB0020 GRAHAM

description: .
DOI: 10.5281/zenodo.5774676
title: Dataset: HowFaster.NET - Local Ranks - Edition 2 - October 2020 (full month)

description: Data is provided in CSV format.
DOI: 10.5281/zenodo.5774675
title: Dataset: HowFaster.NET - Local Ranks - Edition 2 - October 2020 (full month)

description: Data is provided in CSV format.
DOI: 10.5281/zenodo.5813084
title: Jemma Properties Methods - CMPX

description: Jemma Properties Methods - CMPX &gt; file: Jemma_Properties_Methods_CMPX.csv<br> &gt; size: 267.1 MB<br> &gt; num_rows: 6,845,749<br> &gt; columns: method_id, cyclomatic_complexity
DOI: 10.5281/zenodo.5812759
title: Jemma Properties Methods - CMPX

description: Jemma Properties Methods - CMPX &gt; file: Jemma_Properties_Methods_CMPX.csv<br> &gt; size: 267.1 MB<br> &gt; num_rows: 6,845,749<br> &gt; columns: method_id, cyclomatic_complexity
DOI: 10.5281/zenodo.5813087
title: Government Budget Allocations for R&D in Environment

description: Government Budget Allocations for R&D (GBARD). GBARD data are measuring government support to research and development (R&D) activities, and thereby provide information about the priority Governments give to different public R&D funding activities. GBARD data are compiled using the guidelines laid out in the OECD Guidelines for collecting and reporting data on research and experimental development - Frascati Manual, OECD, 2015 (See related identifiers). GBARD data are broken down by: - Socio-economic objectives (SEOs) in accordance to the Nomenclature for the analysis and comparison of scientific programmes and budget. This dataset uses the Environment objective.<br> <br> The missing data are approximated, forecasted and backcasted by country. In our version of the dataset, 40% more countries, and a 23% larger dataset can be used for supervised and unsupervised learning models, such as machine learning, that require complete datasets compared to the source dataset released by Eurostat: GBARD by socioeconomic objectives (NABS 2007)[gba_nabsfin07]
DOI: 10.5281/zenodo.5658848
title: Government Budget Allocations for R&D in Environment

description: Government Budget Allocations for R&D (GBARD). GBARD data are measuring government support to research and development (R&D) activities, and thereby provide information about the priority Governments give to different public R&D funding activities. GBARD data are compiled using the guidelines laid out in the OECD Guidelines for collecting and reporting data on research and experimental development - Frascati Manual, OECD, 2015 (See related identifiers). GBARD data are broken down by: - Socio-economic objectives (SEOs) in accordance to the Nomenclature for the analysis and comparison of scientific programmes and budget. This dataset uses the Environment objective.<br> <br> The missing data are approximated, forecasted and backcasted by country. In our version of the dataset, 40% more countries, and a 23% larger dataset can be used for supervised and unsupervised learning models, such as machine learning, that require complete datasets compared to the source dataset released by Eurostat: GBARD by socioeconomic objectives (NABS 2007)[gba_nabsfin07]
DOI: 10.5281/zenodo.5813090
title: Environment's Share in Total Government Budget Allocations for R&D

description: Government Budget Allocations for R&D (GBARD). GBARD data are measuring government support to research and development (R&D) activities, and thereby provide information about the priority Governments give to different public R&D funding activities. GBARD data are compiled using the guidelines laid out in the OECD Guidelines for collecting and reporting data on research and experimental development - Frascati Manual, OECD, 2015 (See related identifiers). GBARD data are broken down by: - Socio-economic objectives (SEOs) in accordance to the Nomenclature for the analysis and comparison of scientific programmes and budget. This dataset calculates the share of the Environment objective compared to the total allocations. <br> The source (raw) dataset released by Eurostat: GBARD by socioeconomic objectives (NABS 2007)[gba_nabsfin07]
DOI: 10.5281/zenodo.5661168
title: Environment's Share in Total Government Budget Allocations for R&D

description: Government Budget Allocations for R&D (GBARD). GBARD data are measuring government support to research and development (R&D) activities, and thereby provide information about the priority Governments give to different public R&D funding activities. GBARD data are compiled using the guidelines laid out in the OECD Guidelines for collecting and reporting data on research and experimental development - Frascati Manual, OECD, 2015 (See related identifiers). GBARD data are broken down by: - Socio-economic objectives (SEOs) in accordance to the Nomenclature for the analysis and comparison of scientific programmes and budget. This dataset calculates the share of the Environment objective compared to the total allocations. <br> The source (raw) dataset released by Eurostat: GBARD by socioeconomic objectives (NABS 2007)[gba_nabsfin07]
DOI: 10.5281/zenodo.5813094
title: Jemma Properties Methods - SLOC

description: Jemma Properties Methods - SLOC &gt; file: Jemma_Properties_Methods_SLOC.csv<br> &gt; size: 335.0 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, source_lines_of_code
DOI: 10.5281/zenodo.5813093
title: Jemma Properties Methods - SLOC

description: Jemma Properties Methods - SLOC &gt; file: Jemma_Properties_Methods_SLOC.csv<br> &gt; size: 335.0 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, source_lines_of_code
DOI: 10.5281/zenodo.5813098
title: Petrocephalus schoutedeni SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5813097
title: Petrocephalus schoutedeni SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5813102
title: Jemma Properties Methods - TLOC

description: Jemma Properties Methods - TLOC &gt; file: Jemma_Properties_Methods_TLOC.csv<br> &gt; size: 335.5 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, total_lines_of_code
DOI: 10.5281/zenodo.5813101
title: Jemma Properties Methods - TLOC

description: Jemma Properties Methods - TLOC &gt; file: Jemma_Properties_Methods_TLOC.csv<br> &gt; size: 335.5 MB<br> &gt; num_rows: 8,544,618<br> &gt; columns: method_id, total_lines_of_code
DOI: 10.6084/m9.figshare.17708678
title: Data Pack for DGRs in metagenomes exercise

description: An anvi'o data pack used here to study Trichodesmium DGRs in marine metagenomes:<br>https://merenlab.org/data/dgrs-in-metagenomes/<br>
DOI: 10.6084/m9.figshare.17708678.v1
title: Data Pack for DGRs in metagenomes exercise

description: An anvi'o data pack used here to study Trichodesmium DGRs in marine metagenomes:<br>https://merenlab.org/data/dgrs-in-metagenomes/<br>
DOI: 10.34740/kaggle/dsv/2994714
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5813124
title: Erythroxylum ulei decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5813123
title: Erythroxylum ulei decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.3761562.v2091
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc23ln7m
title: CCDC 1954340: Experimental Crystal Structure Determination

description: Related Article: Baoning Li, Yongguang Li, Michael Ho-Yeung Chan, Vivian Wing-Wah Yam|2021|J.Am.Chem.Soc.|143|21676|doi:10.1021/jacs.1c10943
DOI: 10.5517/ccdc.csd.cc23lnbq
title: CCDC 1954343: Experimental Crystal Structure Determination

description: Related Article: Baoning Li, Yongguang Li, Michael Ho-Yeung Chan, Vivian Wing-Wah Yam|2021|J.Am.Chem.Soc.|143|21676|doi:10.1021/jacs.1c10943
DOI: 10.5517/ccdc.csd.cc23ln9p
title: CCDC 1954342: Experimental Crystal Structure Determination

description: Related Article: Baoning Li, Yongguang Li, Michael Ho-Yeung Chan, Vivian Wing-Wah Yam|2021|J.Am.Chem.Soc.|143|21676|doi:10.1021/jacs.1c10943
DOI: 10.5517/ccdc.csd.cc23ln8n
title: CCDC 1954341: Experimental Crystal Structure Determination

description: Related Article: Baoning Li, Yongguang Li, Michael Ho-Yeung Chan, Vivian Wing-Wah Yam|2021|J.Am.Chem.Soc.|143|21676|doi:10.1021/jacs.1c10943
DOI: 10.5517/ccdc.csd.cc23mf39
title: CCDC 1955080: Experimental Crystal Structure Determination

description: Related Article: Jianping Yang, Luca Massaro, Suppachai Krajangsri, Thishana Singh, Hao Su, Emanuele Silvi, Sudipta Ponra, Lars Eriksson, Mårten S. G. Ahlquist, Pher G. Andersson|2021|J.Am.Chem.Soc.|143|21594|doi:10.1021/jacs.1c09573
DOI: 10.5517/ccdc.csd.cc286kcf
title: CCDC 2091674: Experimental Crystal Structure Determination

description: Related Article: Franck Gam, Isaac Chantrenne, Samia Kahlal, Tzu-Hao Chiu, Jian-Hong Liao, C. W. Liu, Jean-Yves Saillard|2021|Nanoscale|14|196|doi:10.1039/D1NR06019H
DOI: 10.5517/ccdc.csd.cc2921q5
title: CCDC 2117136: Experimental Crystal Structure Determination

description: Related Article: Ryan E. McNamee, Amber L. Thompson, Edward A. Anderson|2021|J.Am.Chem.Soc.|143|21246|doi:10.1021/jacs.1c11244
DOI: 10.5281/zenodo.5813089
title: Jemma Metadata Methods

description: Jemma Metadata Methods &gt; file: Jemma_Metadata_Methods.csv<br> &gt; size: 2.8 GB<br> &gt; num_rows: 8,544,618<br> &gt; columns: project_id, package_id, class_id, method_id, method_path, method_name, start_line, end_line, method_signature
DOI: 10.5281/zenodo.5808990
title: Jemma Metadata Methods

description: Jemma Metadata Methods &gt; file: Jemma_Metadata_Methods.csv<br> &gt; size: 2.8 GB<br> &gt; num_rows: 8,544,618<br> &gt; columns: project_id, package_id, class_id, method_id, method_path, method_name, start_line, end_line, method_signature
DOI: 10.5281/zenodo.5813142
title: Cyanopsitta spixii zanfona pass 1

description: .
DOI: 10.5281/zenodo.5813141
title: Cyanopsitta spixii zanfona pass 1

description: .
DOI: 10.5517/ccdc.csd.cc28cx2n
title: CCDC 2096811: Experimental Crystal Structure Determination

description: Related Article: Matthieu Starck, Jack D. Fradgley, Davide F. De Rosa, Andrei S. Batsanov, Maria Papa, Michael J. Taylor, Janet E. Lovett, Jacob C. Lutter, Matthew J. Allen, David Parker|2021|Chem.-Eur.J.|27|17921|doi:10.1002/chem.202103243
DOI: 10.5517/ccdc.csd.cc28cx3p
title: CCDC 2096812: Experimental Crystal Structure Determination

description: Related Article: Matthieu Starck, Jack D. Fradgley, Davide F. De Rosa, Andrei S. Batsanov, Maria Papa, Michael J. Taylor, Janet E. Lovett, Jacob C. Lutter, Matthew J. Allen, David Parker|2021|Chem.-Eur.J.|27|17921|doi:10.1002/chem.202103243
DOI: 10.5517/ccdc.csd.cc28h9y1
title: CCDC 2100093: Experimental Crystal Structure Determination

description: Related Article: Lukas Tendera, Moritz Helm, Mirjam J. Krahfuss, Maximilian W. Kuntze-Fechner, Udo Radius|2021|Chem.-Eur.J.|27|17849|doi:10.1002/chem.202103093
DOI: 10.5517/ccdc.csd.cc28h9z2
title: CCDC 2100094: Experimental Crystal Structure Determination

description: Related Article: Lukas Tendera, Moritz Helm, Mirjam J. Krahfuss, Maximilian W. Kuntze-Fechner, Udo Radius|2021|Chem.-Eur.J.|27|17849|doi:10.1002/chem.202103093
DOI: 10.5517/ccdc.csd.cc28hb04
title: CCDC 2100095: Experimental Crystal Structure Determination

description: Related Article: Lukas Tendera, Moritz Helm, Mirjam J. Krahfuss, Maximilian W. Kuntze-Fechner, Udo Radius|2021|Chem.-Eur.J.|27|17849|doi:10.1002/chem.202103093
DOI: 10.5517/ccdc.csd.cc28hb15
title: CCDC 2100096: Experimental Crystal Structure Determination

description: Related Article: Lukas Tendera, Moritz Helm, Mirjam J. Krahfuss, Maximilian W. Kuntze-Fechner, Udo Radius|2021|Chem.-Eur.J.|27|17849|doi:10.1002/chem.202103093
DOI: 10.5517/ccdc.csd.cc28hb26
title: CCDC 2100097: Experimental Crystal Structure Determination

description: Related Article: Lukas Tendera, Moritz Helm, Mirjam J. Krahfuss, Maximilian W. Kuntze-Fechner, Udo Radius|2021|Chem.-Eur.J.|27|17849|doi:10.1002/chem.202103093
DOI: 10.5517/ccdc.csd.cc28hb37
title: CCDC 2100098: Experimental Crystal Structure Determination

description: Related Article: Lukas Tendera, Moritz Helm, Mirjam J. Krahfuss, Maximilian W. Kuntze-Fechner, Udo Radius|2021|Chem.-Eur.J.|27|17849|doi:10.1002/chem.202103093