cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e194229v2
title: Shooting the messenger: How expert statements on stigmatized populations negatively impact perceived credibility

description: Replication materials (data and R script), and research transparency appendix for the manuscript "Shooting the messenger: How expert statements on stigmatized populations negatively impact perceived credibility", published in Justice Quarterly (https://doi.org/10.1080/07418825.2023.2267633).<br><br>To replicate the analyses presented in the manuscript and the research transparency appendix, download the replication data to a folder on your machine, use the "setwd()" function in R to that folder, and then run the script. <br><br>This research was supported by the Center for Public Opinion and the Office of the Dean of Fine Arts, Social Sciences, and Humanities at the University of Massachusetts Lowell. <br>
DOI: 10.5281/zenodo.7693556
title: Dataset of the linguistic analysis of the Eastern German Crisis Discourse from 1976 to 1986

description: The dataset consists of a ZIP file with the speeches contained in the five volumes of the protocol of the party congress of the Socialist Unity Party of Germany (SED) between 1976 and 1986. The texts have been digitized as PDF files and then converted into machine-readable TEXT files using an OCR software. These TEXT files have been parsed with TagAnt (v. 2.0.4 Windows 10 64-bit), an annotation software. According to the data returned by AntConc (v. 4.0.5 Windows 10 64-bit), four corpora have been created: a main corpus with a total of 184,750 tokens and 16,143 types, a 'corpus A' with 70,533 tokens and 11,964 types, a 'corpus B' with 65,757 tokens and 11,967 types, and a 'corpus C' with 48,460 tokens and 8,145 types. The main corpus includes all speeches from the five volumes, while the three additional corpora have been created based on specific criteria or topics. The 'corpus A' and 'corpus B' have similar token counts and types, and likely differ based on a specific subset of speeches or themes. The 'corpus C' is the smallest corpus, with a focus on a specific aspect of the discourse. This dataset is suitable for exploring and analyzing the Eastern German Crisis Discourse from 1976 to 1986, particularly for scholars who may be interested in political and historical analysis.
DOI: 10.5281/zenodo.7693557
title: Dataset of the linguistic analysis of the Eastern German Crisis Discourse from 1976 to 1986

description: The dataset consists of a ZIP file with the speeches contained in the five volumes of the protocol of the party congress of the Socialist Unity Party of Germany (SED) between 1976 and 1986. The texts have been digitized as PDF files and then converted into machine-readable TEXT files using an OCR software. These TEXT files have been parsed with TagAnt (v. 2.0.4 Windows 10 64-bit), an annotation software. According to the data returned by AntConc (v. 4.0.5 Windows 10 64-bit), four corpora have been created: a main corpus with a total of 184,750 tokens and 16,143 types, a 'corpus A' with 70,533 tokens and 11,964 types, a 'corpus B' with 65,757 tokens and 11,967 types, and a 'corpus C' with 48,460 tokens and 8,145 types. The main corpus includes all speeches from the five volumes, while the three additional corpora have been created based on specific criteria or topics. The 'corpus A' and 'corpus B' have similar token counts and types, and likely differ based on a specific subset of speeches or themes. The 'corpus C' is the smallest corpus, with a focus on a specific aspect of the discourse. This dataset is suitable for exploring and analyzing the Eastern German Crisis Discourse from 1976 to 1986, particularly for scholars who may be interested in political and historical analysis.
DOI: 10.6084/m9.figshare.16712962
title: Anexo 2. Discursos de populistas

description: Discursos de populismo
DOI: 10.6084/m9.figshare.16712962.v2
title: Anexo 2. Discursos de populistas

description: Discursos de populismo
DOI: 10.6084/m9.figshare.16712962.v1
title: Untitled Item

description: Discursos de populismo
DOI: 10.6084/m9.figshare.16712947
title: Anexo 1. Discursos narcopopulistas.xlsx

description: Discursos de narcopopulistas
DOI: 10.6084/m9.figshare.16712947.v5
title: Anexo 1. Discursos narcopopulistas.xlsx

description: Discursos de narcopopulistas
DOI: 10.6084/m9.figshare.16712947.v4
title: Anexo 1. Discursos narcopopulistas.xlsx

description: Discursos de narcopopulistas
DOI: 10.6084/m9.figshare.16712956
title: KSFO ADS-B Trajectories: Four Months Arriving Aircraft Data

description: ASD-B aircraft trajectory data extracted from the OpenSky Network Historical database via the traffic library fused with ASOS weather data extracted from the Iowa Environmental Mesonet for commercial aircraft arriving at San Francisco International Airport (KSFO) between 01 June 2019 and 30 Sept 2019. Extracted data sets were pre-processed, cleaned, downsampled, and fused by the authors. Accompanies the publication "A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B data" (https://www.sciencedirect.com/science/article/pii/S0968090X21003351). Provides features used and results obtained after detecting spatial and energy anomalies in the ADS-B trajectory data.
DOI: 10.5281/zenodo.5528345
title: PASS: An ImageNet replacement for self-supervised pretraining without humans

description: Computer vision has long relied on ImageNet and other large datasets of images sampled from the Internet for pretraining models. However, these datasets have ethical and technical shortcomings, such as containing personal information taken without consent, unclear license usage, biases, and, in some cases, even problematic image content. On the other hand, state-of-the-art pretraining is nowadays obtained with unsupervised methods, meaning that labelled datasets such as ImageNet may not be necessary, or perhaps not even optimal, for model pretraining. We thus propose an unlabelled dataset <strong>PASS</strong>: Pictures without humAns for Self-Supervision. PASS only contains images with CC-BY license and complete attribution metadata, addressing the copyright issue. Most importantly, it contains no images of people at all, and also avoids other types of images that are problematic for data protection or ethics. We show that PASS can be used for pretraining with methods such as MoCo-v2, SwAV and DINO. In the transfer learning setting, it yields similar downstream performances to ImageNet pretraining even on tasks that involve humans, such as human pose estimation. PASS does not make existing datasets obsolete, as for instance it is insufficient for benchmarking. However, it shows that model pretraining is often possible while using safer data, and it also provides the basis for a more robust evaluation of pretraining methods.<br> <br> A simple download script is here: https://github.com/yukimasano/PASS/blob/main/download.sh<br> Visit our webpage here: https://www.robots.ox.ac.uk/~vgg/research/pass/
description: Note: tar archives can be used / unzipped individually.
DOI: 10.15468/56gzn6
title: A new species of the genus Dugesia (Tricladida: Dugesiidae) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chen, Yu-Hui, Chen, Xiao-Min, Wu, Cheng-Chen, Wang, An-Tai (2015): A new species of the genus Dugesia (Tricladida: Dugesiidae) from China. Zoological Systematics 40 (3): 237-249, DOI: 10.11865/zs.20150301, URL: http://zoobank.org/33f3beb5-b79a-45df-9681-aa5fcb90a3cc
DOI: 10.15468/mcmena
title: Species of the genus Otacilia from Hainan Island, China (Araneae: Phrurolithidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fu, Li-Na, He, Jing-Chao, Zhang, Feng (2015): Species of the genus Otacilia from Hainan Island, China (Araneae: Phrurolithidae). Zoological Systematics 40 (4): 436-450, DOI: 10.11865/zs.20150402, URL: http://zoobank.org/d5ffa49d-6d73-4e11-ba33-7f5477145431
DOI: 10.15139/s3/i6jv8v
title: FAFC Niger Segmentation Study Open ended questionnaires

description: Data collected by the Carolina Population Center’s Full Access Full Choice Project and Initiative OASIS Niger at integrated health centers in Dosso region, Niger in 2020. After completion of the Client Exit Interview, 100 clients were asked additional open-ended questions about what they liked and disliked about their family planning visit. Contact Ilene Speizer at speizer@email.unc.edu for responses to open-ended questions.
DOI: 10.5281/zenodo.5542191
title: Zingiber officianale decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5542190
title: Zingiber officianale decontaminated FSCR

description: .
DOI: 10.26025/1912/27599
title: Horizontal Stirring over the Northeast U.S. Continental Shelf: the Spatial and Temporal Evolution of Surface Eddy Kinetic Energy
DOI: 10.15468/zra8bh
title: Tipula (Vestiplex) crane flies (Diptera, Tipulidae) of Korea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Starkevich, Pavel, Podėnas, Sigitas, Podėnienė, Virginija, Park, Sun-Jae, Kim, A-Young (2021): Tipula (Vestiplex) crane flies (Diptera, Tipulidae) of Korea. ZooKeys 1061: 23-55, DOI: http://dx.doi.org/10.3897/zookeys.1061.49999, URL: http://dx.doi.org/10.3897/zookeys.1061.49999
DOI: 10.5281/zenodo.4756984
title: Dataset - seismic data from central-western Italy used in the paper on rapid prediction of ground motion using a Convolutional Neural Network

description: The dataset published here is the central-western Italy dataset used in the paper "<em>Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data"</em> (https://arxiv.org/abs/2105.05075). The code for the paper is available at https://github.com/djozinovi/TLpredIM. The abstract of the paper: In a recent study (Jozinović et al, 2020) we showed that convolutional neural networks (CNNs) applied to network seismic traces can be used for rapid prediction of earthquake peak ground motion intensity measures (IMs) at distant stations using only recordings from stations near the epicenter. The predictions are made without any previous knowledge concerning the earthquake location and magnitude. This approach differs from the standard procedure adopted by earthquake early warning systems (EEWSs) that rely on location and magnitude information. In the previous study, we used 10 s, raw, multistation waveforms for the 2016 earthquake sequence in central Italy for 915 events (CI dataset). The CI dataset has a large number of spatially concentrated earthquakes and a dense station network. In this work, we applied the CNN model to an area around area near Pisa, Italy. In our initial application of the technique, we used a dataset consisting of 266 earthquakes recorded by 39 stations. We found that the CNN model trained using this smaller dataset performed worse compared to the results presented in the original study by Jozinović et al. (2020). To counter the lack of data, we adopted transfer learning (TL) using two approaches: first, by using a pre-trained model built on the CI dataset and, next, by using a pre-trained model built on a different (seismological) problem that has a larger dataset available for training. We show that the use of TL improves the results in terms of outliers, bias, and variability of the residuals between predicted and true IMs values. We also demonstrate that adding knowledge of station positions as an additional layer in the neural network improves the results. The possible use for EEW is demonstrated by the times for the warnings that would be received at the station PII.
DOI: 10.6084/m9.figshare.16655140
title: Indoor plant microbiome

description: Here we report results of experiments performed in a controlled climate chamber to characterize the diversity of bacterial communities inhabiting the growing media and leaves of five indoor plant species, and quantify microbial transfer dynamics and persistence on human skin following simulated touch contact events. To identify bacterial taxa, we sequenced the V3--V4 region of the 16S rRNA gene on an Illumina MiSeq 2X250 platform.
DOI: 10.6084/m9.figshare.16655140.v1
title: Indoor plant microbiome

description: Here we report results of experiments performed in a controlled climate chamber to characterize the diversity of bacterial communities inhabiting the growing media and leaves of five indoor plant species, and quantify microbial transfer dynamics and persistence on human skin following simulated touch contact events. To identify bacterial taxa, we sequenced the V3--V4 region of the 16S rRNA gene on an Illumina MiSeq 2X250 platform.
DOI: 10.5517/ccdc.csd.cc229xkw
title: CCDC 1916158: Experimental Crystal Structure Determination

description: Related Article: Zhao Feng, Yue Yu, Xiaolong Yang, Yuanhui Sun, Daokun Zhong, Xuming Deng, Guijiang Zhou, Zhaoxin Wu|2021|J.Mater.Chem.C|9|12650|doi:10.1039/D1TC02557K
DOI: 10.5517/ccdc.csd.cc2537g0
title: CCDC 1999111: Experimental Crystal Structure Determination

description: Related Article: Mariel M. Cardenas, Mirza A. Saputra, Deane A. Gordon, Andrea N. Sanchez, Nobuyuki Yamamoto, Jeffrey L. Gustafson|2021|Chem.Commun.|57|10087|doi:10.1039/D1CC04335H
DOI: 10.5517/ccdc.csd.cc2537h1
title: CCDC 1999112: Experimental Crystal Structure Determination

description: Related Article: Mariel M. Cardenas, Mirza A. Saputra, Deane A. Gordon, Andrea N. Sanchez, Nobuyuki Yamamoto, Jeffrey L. Gustafson|2021|Chem.Commun.|57|10087|doi:10.1039/D1CC04335H
DOI: 10.5517/ccdc.csd.cc25l00t
title: CCDC 2013295: Experimental Crystal Structure Determination

description: Related Article: Hua Tong, Chanchan Xu, Wei Liu|2021|J.Mater.Chem.C|9|12530|doi:10.1039/D1TC00205H
DOI: 10.5517/ccdc.csd.cc26zhj7
title: CCDC 2055099: Experimental Crystal Structure Determination

description: Related Article: Yongtao Wang, Zhean Qian, Xueming Li, Anjun Qin, Yanjun Guo, Benzhong Tang|2021|J.Mater.Chem.C|9|12681|doi:10.1039/D1TC02405A
DOI: 10.5517/ccdc.csd.cc26zhnc
title: CCDC 2055103: Experimental Crystal Structure Determination

description: Related Article: Yongtao Wang, Zhean Qian, Xueming Li, Anjun Qin, Yanjun Guo, Benzhong Tang|2021|J.Mater.Chem.C|9|12681|doi:10.1039/D1TC02405A
DOI: 10.5517/ccdc.csd.cc274ctl
title: CCDC 2059789: Experimental Crystal Structure Determination

description: Related Article: Xiaohui Wang, Lirong Wang, Xiaoyu Mao, Qingsong Wang, Zhongfei Mu, Li An, Wan Zhang, Xing Feng, Carl Redshaw, Changyong Cao, Anjun Qin, Ben Zhong Tang|2021|J.Mater.Chem.C|9|12828|doi:10.1039/D1TC03022A
DOI: 10.5517/ccdc.csd.cc23v94f
title: CCDC 1961684: Experimental Crystal Structure Determination

description: Related Article: Nawel Goual, Lorenzo Casimiro, Vincent Delattre, Pascal Retailleau, Stéphane Maisonneuve, Nicolas Bogliotti, Rémi Métivier, Juan Xie, Angela Marinetti, Arnaud Voituriez|2021|Chem.Commun.|57|10079|doi:10.1039/D1CC02746H
DOI: 10.5517/ccdc.csd.cc25cjbf
title: CCDC 2007074: Experimental Crystal Structure Determination

description: Related Article: Nawel Goual, Lorenzo Casimiro, Vincent Delattre, Pascal Retailleau, Stéphane Maisonneuve, Nicolas Bogliotti, Rémi Métivier, Juan Xie, Angela Marinetti, Arnaud Voituriez|2021|Chem.Commun.|57|10079|doi:10.1039/D1CC02746H
DOI: 10.5517/ccdc.csd.cc25cjcg
title: CCDC 2007075: Experimental Crystal Structure Determination

description: Related Article: Nawel Goual, Lorenzo Casimiro, Vincent Delattre, Pascal Retailleau, Stéphane Maisonneuve, Nicolas Bogliotti, Rémi Métivier, Juan Xie, Angela Marinetti, Arnaud Voituriez|2021|Chem.Commun.|57|10079|doi:10.1039/D1CC02746H
DOI: 10.5517/ccdc.csd.cc270nvs
title: CCDC 2056225: Experimental Crystal Structure Determination

description: Related Article: Nawel Goual, Lorenzo Casimiro, Vincent Delattre, Pascal Retailleau, Stéphane Maisonneuve, Nicolas Bogliotti, Rémi Métivier, Juan Xie, Angela Marinetti, Arnaud Voituriez|2021|Chem.Commun.|57|10079|doi:10.1039/D1CC02746H
DOI: 10.5517/ccdc.csd.cc270nwt
title: CCDC 2056226: Experimental Crystal Structure Determination

description: Related Article: Nawel Goual, Lorenzo Casimiro, Vincent Delattre, Pascal Retailleau, Stéphane Maisonneuve, Nicolas Bogliotti, Rémi Métivier, Juan Xie, Angela Marinetti, Arnaud Voituriez|2021|Chem.Commun.|57|10079|doi:10.1039/D1CC02746H
DOI: 10.5517/ccdc.csd.cc27hlhv
title: CCDC 2070567: Experimental Crystal Structure Determination

description: Related Article: Yongtao Wang, Zhean Qian, Xueming Li, Anjun Qin, Yanjun Guo, Benzhong Tang|2021|J.Mater.Chem.C|9|12681|doi:10.1039/D1TC02405A
DOI: 10.5517/ccdc.csd.cc27k476
title: CCDC 2072047: Experimental Crystal Structure Determination

description: Related Article: Beate G. Steller, Michaela Flock, Roland C. Fischer|2021|Chem.Commun.|57|10095|doi:10.1039/D1CC02538D
DOI: 10.5517/ccdc.csd.cc27k487
title: CCDC 2072048: Experimental Crystal Structure Determination

description: Related Article: Beate G. Steller, Michaela Flock, Roland C. Fischer|2021|Chem.Commun.|57|10095|doi:10.1039/D1CC02538D
DOI: 10.5517/ccdc.csd.cc27k498
title: CCDC 2072049: Experimental Crystal Structure Determination

description: Related Article: Beate G. Steller, Michaela Flock, Roland C. Fischer|2021|Chem.Commun.|57|10095|doi:10.1039/D1CC02538D
DOI: 10.5517/ccdc.csd.cc27k4b9
title: CCDC 2072050: Experimental Crystal Structure Determination

description: Related Article: Beate G. Steller, Michaela Flock, Roland C. Fischer|2021|Chem.Commun.|57|10095|doi:10.1039/D1CC02538D
DOI: 10.5517/ccdc.csd.cc27k4cb
title: CCDC 2072051: Experimental Crystal Structure Determination

description: Related Article: Beate G. Steller, Michaela Flock, Roland C. Fischer|2021|Chem.Commun.|57|10095|doi:10.1039/D1CC02538D
DOI: 10.5517/ccdc.csd.cc27k4dc
title: CCDC 2072052: Experimental Crystal Structure Determination

description: Related Article: Beate G. Steller, Michaela Flock, Roland C. Fischer|2021|Chem.Commun.|57|10095|doi:10.1039/D1CC02538D
DOI: 10.5517/ccdc.csd.cc27q6t0
title: CCDC 2076932: Experimental Crystal Structure Determination

description: Related Article: Rong Wang, Hao Lu, Mingpan Yan, Mengfan Li, Xiangyu Lv, Hongwen Huang, Arash Ghaderi, Takanori Iwasaki, Nobuaki Kambe, Ablimit Abdukader, Renhua Qiu|2021|J.Mater.Chem.C|9|12545|doi:10.1039/D1TC03338G
DOI: 10.5517/ccdc.csd.cc27v7y9
title: CCDC 2080811: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Lanxiao Zhao, Laurent Maron, Jianhua Cheng|2021|Chem.Commun.|57|10047|doi:10.1039/D1CC04488E
DOI: 10.5517/ccdc.csd.cc27v7zb
title: CCDC 2080812: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Lanxiao Zhao, Laurent Maron, Jianhua Cheng|2021|Chem.Commun.|57|10047|doi:10.1039/D1CC04488E
DOI: 10.5517/ccdc.csd.cc27v80d
title: CCDC 2080813: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Lanxiao Zhao, Laurent Maron, Jianhua Cheng|2021|Chem.Commun.|57|10047|doi:10.1039/D1CC04488E
DOI: 10.5517/ccdc.csd.cc27v82g
title: CCDC 2080815: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Lanxiao Zhao, Laurent Maron, Jianhua Cheng|2021|Chem.Commun.|57|10047|doi:10.1039/D1CC04488E
DOI: 10.5517/ccdc.csd.cc27v81f
title: CCDC 2080814: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Lanxiao Zhao, Laurent Maron, Jianhua Cheng|2021|Chem.Commun.|57|10047|doi:10.1039/D1CC04488E
DOI: 10.5517/ccdc.csd.cc27v83h
title: CCDC 2080816: Experimental Crystal Structure Determination

description: Related Article: Xianghui Shi, Peng Deng, Thayalan Rajeshkumar, Lanxiao Zhao, Laurent Maron, Jianhua Cheng|2021|Chem.Commun.|57|10047|doi:10.1039/D1CC04488E
DOI: 10.5517/ccdc.csd.cc2839xm
title: CCDC 2088560: Experimental Crystal Structure Determination

description: Related Article: Krzysztof Dzieszkowski, Michał Słotwiński, Katarzyna Rafińska, Tadeusz M. Muzioł, Zbigniew Rafiński|2021|Chem.Commun.|57|9999|doi:10.1039/D1CC03708K
DOI: 10.5517/ccdc.csd.cc283shp
title: CCDC 2089012: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283sjq
title: CCDC 2089013: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283skr
title: CCDC 2089014: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283sls
title: CCDC 2089015: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283smt
title: CCDC 2089016: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283snv
title: CCDC 2089017: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283spw
title: CCDC 2089018: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283sqx
title: CCDC 2089019: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283sry
title: CCDC 2089020: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283ssz
title: CCDC 2089021: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283st0
title: CCDC 2089022: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283sv1
title: CCDC 2089023: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283sw2
title: CCDC 2089024: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283sx3
title: CCDC 2089025: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E
DOI: 10.5517/ccdc.csd.cc283sy4
title: CCDC 2089026: Experimental Crystal Structure Determination

description: Related Article: Alix Tordo, Erwann Jeanneau, Mathieu Bordy, Yann Bretonnière, Jens Hasserodt|2021|J.Mater.Chem.C|9|12727|doi:10.1039/D1TC03096E