cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/data.12809561.v1
title: (mg) No 6. MAG02 Phylogenomic Analysis (metagenome) Output

description: Files generated from the pangenomic (<b>01_MAG02_PAN</b>/), phylogenomic (<b>02_MAG02_PHYLOGENOMICS</b>), and 16S rRNA phylogenetic (<b>03_MAG02_16S_rRNA_PHYLOGENETICS</b>) analyses of MAG02. You can use the anvi'o commands described in the workflow to visualize the data.
DOI: 10.25573/data.12809069
title: (mg) No 5. Binning MAGs (metagenomes) Output

description: Binning summary data for four collections: 1) <b>CONCOCT_5</b>, the automatic binning, 2) <b>VIRAL_FINAL</b>, the bins after manual refinement deemed to be viral, 3) <b>MICROBIAL_FINAL</b>, the bins after manual refinement deemed to be microbial, 4) <b>MAGS</b> the 5 MAG bins only. Within each directory is an index.html that can be opened in a browser for closer inspection. Individual files are also provided. <br>Self-Contained profile and contig databases for each MAG are also provided. <br><br>
DOI: 10.25573/data.12809069.v1
title: (mg) No 5. Binning MAGs (metagenomes) Output

description: Binning summary data for four collections: 1) <b>CONCOCT_5</b>, the automatic binning, 2) <b>VIRAL_FINAL</b>, the bins after manual refinement deemed to be viral, 3) <b>MICROBIAL_FINAL</b>, the bins after manual refinement deemed to be microbial, 4) <b>MAGS</b> the 5 MAG bins only. Within each directory is an index.html that can be opened in a browser for closer inspection. Individual files are also provided. <br>Self-Contained profile and contig databases for each MAG are also provided. <br><br>
DOI: 10.25573/data.12808502
title: (mg) No 4. Assembly & Annotation Summary (metagenomes) output

description: Krona plots for Kraken short-read taxonomy and Kaiju contig taxonomy. File names and descriptions as follows:<br><b>cc-kraken.html</b>: Short-read Kraken Krona plots for site Coral Caye (cc).<b>cr-kraken.html</b>: Short-read Kraken Krona plots for site Cayo Roldan Caye (cr).<b>water_kaiju_mar.html</b>: Contig Kaiju Krona plots against the <i>mar</i> database.<b>water_kaiju_nr.html</b>: Contig Kaiju Krona plots against the <i>nr</i> database.
DOI: 10.25573/data.12808427
title: (16s) No 4. Differentially Abundant ASVs (16s rRNA) Output

description: Output files from the No 4. Differentially Abundant ASVs page of the Bocas Hypoxia study.<br>File names and descriptions:<br><b>da_asvs_pipeline.rdata</b>: contains all variables and objects from the pipeline. To see the Objects, in R run load("<b>da_asvs_pipeline.rdata</b>", verbose=TRUE)<br><b>da_asv_anvio.zip</b> contains all the files needed to visualize the DA ASVs in anvi’o. See the workflow for instructions. <br>
DOI: 10.25573/data.12794258
title: (16s) No 3. Diversity (16s rRNA) Output

description: Output files from the No 3. Diversity Workflow page of the Bocas Hypoxia study.<br>File names and descriptions:<br><b>16s-water.rdata: </b>contains all variables and phyloseq objects from the pipeline. To see the <b>Objects</b>, in R run <i>load("16s-water.rdata", verbose=TRUE)<br></i><br><b>ps_water.rds</b>: Phyloseq object where <i>NA </i>ranks renamed by next named rank. <b>ps_water_o.rds</b>: Phyloseq object with original <i>NA </i>ranks.<b>ps_water_ox.rds</b>: Same Phyloseq object as <b>ps_water_o.rds </b>but with sample oxygen states added.<br>
DOI: 10.25573/data.12794258.v1
title: (16s) No 3. Diversity (16s rRNA) Output

description: Output files from the No 3. Diversity Workflow page of the Bocas Hypoxia study.<br>File names and descriptions:<br><b>16s-water.rdata: </b>contains all variables and phyloseq objects from the pipeline. To see the <b>Objects</b>, in R run <i>load("16s-water.rdata", verbose=TRUE)<br></i><br><b>ps_water.rds</b>: Phyloseq object where <i>NA </i>ranks renamed by next named rank. <b>ps_water_o.rds</b>: Phyloseq object with original <i>NA </i>ranks.<b>ps_water_ox.rds</b>: Same Phyloseq object as <b>ps_water_o.rds </b>but with sample oxygen states added.<br>
DOI: 10.5281/zenodo.3986721
title: 3000 satellite images of buildings

description: This dataset contains 3000 satellite images. In the center of each image there is a building, whose roof can be visually identified. More information can be found on project website https://github.com/NHERI-SimCenter/BRAILS This material is based upon work supported by the NSF National Science Foundation under Grant No. 1612843.
DOI: 10.5281/zenodo.3986720
title: 3000 satellite images of buildings

description: This dataset contains 3000 satellite images. In the center of each image there is a building, whose roof can be visually identified. More information can be found on project website https://github.com/NHERI-SimCenter/BRAILS This material is based upon work supported by the NSF National Science Foundation under Grant No. 1612843.
DOI: 10.34740/kaggle/dsv/1421659
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccdc.csd.cc20s0mg
title: CCDC 1870125: Experimental Crystal Structure Determination

description: Related Article: Haifeng Huang, Yameng Shi, Hui Li, Hongli Li, Aimin Pang, Jun Yang|2020|Org.Lett.|22|5866|doi:10.1021/acs.orglett.0c01960
DOI: 10.5517/ccdc.csd.cc20s6np
title: CCDC 1870312: Experimental Crystal Structure Determination

description: Related Article: Haifeng Huang, Yameng Shi, Hui Li, Hongli Li, Aimin Pang, Jun Yang|2020|Org.Lett.|22|5866|doi:10.1021/acs.orglett.0c01960
DOI: 10.5517/ccdc.csd.cc20s6pq
title: CCDC 1870313: Experimental Crystal Structure Determination

description: Related Article: Haifeng Huang, Yameng Shi, Hui Li, Hongli Li, Aimin Pang, Jun Yang|2020|Org.Lett.|22|5866|doi:10.1021/acs.orglett.0c01960
DOI: 10.5517/ccdc.csd.cc20s6qr
title: CCDC 1870314: Experimental Crystal Structure Determination

description: Related Article: Haifeng Huang, Yameng Shi, Hui Li, Hongli Li, Aimin Pang, Jun Yang|2020|Org.Lett.|22|5866|doi:10.1021/acs.orglett.0c01960
DOI: 10.5517/ccdc.csd.cc23tq8y
title: CCDC 1961130: Experimental Crystal Structure Determination

description: Related Article: Haifeng Huang|2019|CSD Communication|||
description: Related Article: Haifeng Huang, Yameng Shi, Hui Li, Hongli Li, Aimin Pang, Jun Yang|2020|Org.Lett.|22|5866|doi:10.1021/acs.orglett.0c01960
DOI: 10.25345/c57n07
title: MassIVE MSV000085954 - Optimization of bottom-up and middle-down proteomics for analyzing environmental effects on the epigenetic histone code of tilapia
title: Experiments were performed by Elizabeth Mojica in the laboratory of Dietmar K&uumlltz at UC Davis. Sample preparation was based on histone acid extraction combined with a previously published LCMS2 sample preparation protocol (https://doi.org/10.1074/mcp.M113.029827). Dataset 1 - EAM0011_Oremo: Partial (time-limited) digestion with trypsin (testes, gill epithelium, and kidney samples) using bottom-up approach. Biological mass spectrometry was performed and data analyzed using a workflow consisting of Compass Hystar 3.2, DataAnalysis 4.4, PEAKS Studio X+, Scaffold 4.11, and ScaffoldPTM 3.0 in the K&uumlltz laboratory.
DOI: 10.5517/ccdc.csd.cc24k5lh
title: CCDC 1982716: Experimental Crystal Structure Determination

description: Related Article: Chang-Qing Jing, Juan Wang, Hui-Fang Zhao, Wen-Xin Chu, Yun Yuan, Zhi Wang, Meng-Fei Han, Te Xu, Jian-Qiang Zhao, Xiao-Wu Lei|2020|Chem.-Eur.J.|26|10307|doi:10.1002/chem.202001178
DOI: 10.5517/ccdc.csd.cc24k5mj
title: CCDC 1982717: Experimental Crystal Structure Determination

description: Related Article: Chang-Qing Jing, Juan Wang, Hui-Fang Zhao, Wen-Xin Chu, Yun Yuan, Zhi Wang, Meng-Fei Han, Te Xu, Jian-Qiang Zhao, Xiao-Wu Lei|2020|Chem.-Eur.J.|26|10307|doi:10.1002/chem.202001178
DOI: 10.5517/ccdc.csd.cc24sb3d
title: CCDC 1989583: Experimental Crystal Structure Determination

description: Related Article: Rikuo Kajiwara, Kazutaka Takamatsu, Koji Hirano, Masahiro Miura|2020|Org.Lett.|22|5915|doi:10.1021/acs.orglett.0c02012
DOI: 10.5517/ccdc.csd.cc251xy3
title: CCDC 1997855: Experimental Crystal Structure Determination

description: Related Article: Pan Guo, Wangbin Sun, Yu Liu, Yong-Xin Li, Teck-Peng Loh, Yaojia Jiang|2020|Org.Lett.|22|5978|doi:10.1021/acs.orglett.0c02071
DOI: 10.5517/ccdc.csd.cc251yy4
title: CCDC 1997886: Experimental Crystal Structure Determination

description: Related Article: Pan Guo, Wangbin Sun, Yu Liu, Yong-Xin Li, Teck-Peng Loh, Yaojia Jiang|2020|Org.Lett.|22|5978|doi:10.1021/acs.orglett.0c02071
DOI: 10.5517/ccdc.csd.cc25gwk3
title: CCDC 2010305: Experimental Crystal Structure Determination

description: Related Article: Rikuo Kajiwara, Kazutaka Takamatsu, Koji Hirano, Masahiro Miura|2020|Org.Lett.|22|5915|doi:10.1021/acs.orglett.0c02012
DOI: 10.3886/e115010
title: Data and Code for: Cumulative Impacts of Conditional Cash Transfer Programs: Experimental Evidence from Indonesia

description: Conditional cash transfers provide income and promote human capital investments. Yet, evaluating their longitudinal impacts is hard, as most experimental evaluations treat control locations after a few years. We examine such impacts in Indonesia after six years, using an experimental rollout in which the experiment remained largely intact. We find static effects on many targeted indicators: childbirth using trained professionals increased dramatically, and under-15 children not in school fell by half. We observe impacts requiring cumulative investments: stunting fell by 23 percent. While human capital accumulation increased, the transfers did not lead to transformative economic change for recipient households.
DOI: 10.17632/y6gs5xjwdy.1
title: Data for: A burning issue: the effect of organic ultraviolet filter exposure on the behaviour and physiology of Daphnia magna.

description: "Supplementary data" includes all of the raw data utilized for the manuscript A burning issue: the effect of organic ultraviolet filter exposure on the behaviour and physiology of Daphnia magna. "A Burning Issue R Script" contains the R script used to perform all statistical analyses and generate the figures included within the manuscript.
DOI: 10.25345/c53t8r
title: MassIVE MSV000085955 - The small RNAs PA2952.1 and PrrH as regulators of virulence, motility and iron metabolism in Pseudomonas aeruginosa
title: Pseudomonas aeruginosa is a Gram-negative opportunistic pathogen that undergoes swarming motility in response to semisolid conditions with amino acids as a nitrogen source. With a genome encoding hundreds of potential intergenic small RNAs (sRNAs), P. aeruginosa can easily adapt to different conditions and stresses. Overexpression of the previously uncharacterized PA2952.1 resulted in decreased swarming and swimming motility, increased gentamicin and tobramycin resistance under swarming conditions, and increased trimethoprim susceptibility. RNA-Seq and proteomics were performed on the wildtype overexpressing PA2952.1 cf. the empty vector control under swarming conditions using TMT10 labeled differential protein expression analysis. The TMT10 reporter channels were sequentially assigned in increasing reporter mass as TMT0..TMT9. We assigned four TMT10 channels (TMT0..TMT3) to biological replicate samples from the EV strain, and four TMT10 channels (TMT4..TMT6) to biological replicate samples from the PA2952.1 strain. Data was acquired over a single 180-minute HPLC-MS run, with peptides identified using X!tandem (cyclone 2012.10.01.1). Protein level expression values were computed using the sum of the reporter channel values from their member peptides, with protein assignment handled by X!tandem. Expression values were transformed into a log2 scale for differential analysis.
DOI: 10.5281/zenodo.3986864
title: Video for the high-speed camera photos from granular flow experiments

description: These are two video for grains mass movement derived from granular flow laboratory experiments (which generated by high speed camera photos). Additionally, the corresponding raw photos are also presented.
DOI: 10.5281/zenodo.3986863
title: Video for the high-speed camera photos from granular flow experiments

description: These are two video for grains mass movement derived from granular flow laboratory experiments (which generated by high speed camera photos). Additionally, the corresponding raw photos are also presented.
DOI: 10.25345/c50465
title: MassIVE MSV000085956 - Peptidomics data of bovine chromaffin granules
title: Peptidomics data in support of the study "Detection and characterization of proteolytic enzyme activity and neuropeptide processing in bovine dense core secretory vesicles"
DOI: 10.25345/c5vb47
title: MassIVE MSV000085957 - Proteomics data of bovine chromaffin granules
title: Proteomics data in support of the study "Detection and characterization of proteolytic enzyme activity and neuropeptide processing in bovine dense core secretory vesicles".
DOI: 10.25345/c5qn0k
title: MassIVE MSV000085958 - Multiplex Substrate Profiling of Proteases Specificities in Bovine Chromaffin Granules
title: LC-MS data of MSP-MS assays of CG proteases in support of the study "Detection and characterization of proteolytic enzyme activity and neuropeptide processing in bovine dense core secretory vesicles"
DOI: 10.5281/zenodo.3986936
title: Data Set for Consumer Electronics MFA in Althaf et al 2020 JIE manuscript

description: This data set includes all the data used in the MFA model and the figures presented in JIE manuscript ' The evolution of consumer electronic waste in the U.S' by Althaf et al (2020).
DOI: 10.5281/zenodo.3986935
title: Data Set for Consumer Electronics MFA in Althaf et al 2020 JIE manuscript

description: This data set includes all the data used in the MFA model and the figures presented in JIE manuscript ' The evolution of consumer electronic waste in the U.S' by Althaf et al (2020).
DOI: 10.21227/frbe-bw46
title: PEMS

description: This is the Traffic Data
DOI: 10.21227/9awj-4d85
title: PEMS

description: This is the Traffic Data
DOI: 10.5281/zenodo.3986508
title: Stacked Dense Denoise-Segmentation CGLS synthetic reconstruction from 91 projection without ring artefacts

description: The CGLS recontruction without ring artefacts from the 91 projection of the synthetic dataset used in the Stacked Dense Denoise-Segmentation Network. For the reconstruction the TomoPhantom software was used (https://doi.org/10.5281/zenodo.2546856). We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396.
DOI: 10.5281/zenodo.3986507
title: Stacked Dense Denoise-Segmentation CGLS synthetic reconstruction from 91 projection without ring artefacts

description: The CGLS recontruction without ring artefacts from the 91 projection of the synthetic dataset used in the Stacked Dense Denoise-Segmentation Network. For the reconstruction the TomoPhantom software was used (https://doi.org/10.5281/zenodo.2546856). We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396.
DOI: 10.5519/qd.aqbebkq7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (130 records)
DOI: 10.5281/zenodo.3987019
title: Online supplement for "T cell costimulation blockade blunts age-related heart failure"

description: <strong>ONLINE SUPPLEMENT FOR:</strong> <strong>Research Letter:</strong> <strong>T cell costimulation blockade blunts age-related heart failure</strong>
DOI: 10.5281/zenodo.3987018
title: Online supplement for "T cell costimulation blockade blunts age-related heart failure"

description: <strong>ONLINE SUPPLEMENT FOR:</strong> <strong>Research Letter:</strong> <strong>T cell costimulation blockade blunts age-related heart failure</strong>
DOI: 10.5519/qd.0l9bkbqv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (0 records)
DOI: 10.34740/kaggle/dsv/1423089
title: COVID-19 cases by Continent
DOI: 10.14469/hpc/7237
title: Compound 5A (old)

description: Gaussian calculation
DOI: 10.14469/hpc/7238
title: Compound 5B (old)

description: Gaussian 16 calculation
DOI: 10.14469/hpc/7240
title: Compound 6B (old)

description: Gaussian 16 calculation
DOI: 10.15161/oar.it/30625
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.3976850
title: Hakea vegetation dataset for training and evaluating segmentation network

description: This dataset is the version used for both training and evaluation of the models discussed the (in press) publication in Methods in Ecology and Evolution, "Detecting plant species in the field with deep learning and drone technology". Also included in this upload, results_inference_images.tar includes the output predictions for each of the trained models on the unseen test set.
DOI: 10.5281/zenodo.3976849
title: Hakea vegetation dataset for training and evaluating segmentation network

description: This dataset is the version used for both training and evaluation of the models discussed the (in press) publication in Methods in Ecology and Evolution, "Detecting plant species in the field with deep learning and drone technology". Also included in this upload, results_inference_images.tar includes the output predictions for each of the trained models on the unseen test set.
DOI: 10.14469/hpc/7244
title: Compound 8B (old)

description: Gaussian16 calculation
DOI: 10.34740/kaggle/dsv/1423407
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.3985099
title: Human and mouse ALS tissue sections immunolabeled for FUS, SFPQ, ChAT and counterstained with DAPI

description: Raw images and image processing scripts to reproduce results of the manuscript entitled 'Human and mouse ALS tissue sections immunolabeled for FUS, SFPQ, ChAT and counterstained with DAPI' and posted on BioRxiv in August 2020. <strong>1. RowMouseImages.zip</strong> Tissue sections from spinal cord of SOD1- and VCP-mutant ALS mouse models together with control immunolabeled for FUS, SFPQ, ChAT and counterstained with DAPI. <strong>2. HumanMouseImages.zip</strong> Tissue sections from spinal cord of Healthy and sporadic ALS donors immunolabeled for FUS or SFPQ, ChAT and counterstained with DAPI. <strong>3. ImageProcessingScripts.zip</strong> Scripts to preprocess these images. <strong>4. Data.zip</strong> CSV files of the single-cell measurements obtained from CellProfiler after segmentation as presented in ImageProcessingScripts.zip. Downstream analysis leading to automatic identification of MNs subpopulation can be acessed on Github https://github.com/RLuisier/ALSdisMNs --------- The two series of multichannel fluorescent microscopy data have been used in several manuscripts including: <strong>Luisier R, Tyzack GE, Hall CE, Mitchell JS, Devine H, Taha DM, et al. Intron retention and nuclear loss of SFPQ are molecular hallmarks of ALS. Nat Commun 2018; 9: 2010.</strong> <strong>Tyzack GE, Luisier R, Taha DM, Neeves J, Modic M, Mitchell JS, et al. Widespread FUS mislocalization is a molecular hallmark of amyotrophic lateral sclerosis. Brain 2019; 142: 2572–80.</strong>
DOI: 10.5281/zenodo.3974134
title: Human and mouse ALS tissue sections immunolabeled for FUS, SFPQ, ChAT and counterstained with DAPI

description: Raw images and image processing scripts to reproduce results of the manuscript entitled 'Human and mouse ALS tissue sections immunolabeled for FUS, SFPQ, ChAT and counterstained with DAPI' and posted on BioRxiv in August 2020. <strong>1. RowMouseImages.zip</strong> Tissue sections from spinal cord of SOD1- and VCP-mutant ALS mouse models together with control immunolabeled for FUS, SFPQ, ChAT and counterstained with DAPI. <strong>2. HumanMouseImages.zip</strong> Tissue sections from spinal cord of Healthy and sporadic ALS donors immunolabeled for FUS or SFPQ, ChAT and counterstained with DAPI. <strong>3. ImageProcessingScripts.zip</strong> Scripts to preprocess these images. <strong>4. Data.zip</strong> CSV files of the single-cell measurements obtained from CellProfiler after segmentation as presented in ImageProcessingScripts.zip. Downstream analysis leading to automatic identification of MNs subpopulation can be acessed on Github https://github.com/RLuisier/ALSdisMNs --------- The two series of multichannel fluorescent microscopy data have been used in several manuscripts including: <strong>Luisier R, Tyzack GE, Hall CE, Mitchell JS, Devine H, Taha DM, et al. Intron retention and nuclear loss of SFPQ are molecular hallmarks of ALS. Nat Commun 2018; 9: 2010.</strong> <strong>Tyzack GE, Luisier R, Taha DM, Neeves J, Modic M, Mitchell JS, et al. Widespread FUS mislocalization is a molecular hallmark of amyotrophic lateral sclerosis. Brain 2019; 142: 2572–80.</strong>
DOI: 10.5281/zenodo.3987238
title: Global tomography beneath Greenland and surrounding regions

description: Dear readers, These two files contain P-wave velocity model beneath Greenland and surrounding regions obtained by global tomography (Toyokuni, Matsuno, & Zhao, 2020, JGR). model_global_equat: Model in the geographical coordinates<br> model_global_eclip: Model in the transformed coordinates We note that the tomography was conducted in the transformed coordinates, and the results were brought back to the geographical coordinates using inverse coordinate transformation. The details of the coordinate transformation are described in the above paper. The format of these files is as follows:<br> Depth (km), Latitude(deg), Longitude(deg), Vp(km/s), dVp(%), Hit count We hope it is useful to you. Kind wishes, Genti Toyokuni & Dapeng Zhao<br> Tohoku University, Japan The format of these files is as follows:<br> Depth (km), Latitude(deg), Longitude(deg), Vp(km/s), dVp(%), Hit count We hope it is useful to you. Kind wishes, Genti Toyokuni & Dapeng Zhao<br> Tohoku University, Japan<br> E-mail: toyokuni@tohoku.ac.jp Reference:<br> Toyokuni, G., Matsuno, T., & Zhao, D. (2020).<br> P-wave tomography beneath Greenland and surrounding regions-II. Lower mantle.<br> Journal of Geophysical Research: Solid Earth, under review.
DOI: 10.5281/zenodo.3987237
title: Global tomography beneath Greenland and surrounding regions

description: Dear readers, These two files contain P-wave velocity model beneath Greenland and surrounding regions obtained by global tomography (Toyokuni, Matsuno, & Zhao, 2020, JGR). model_global_equat: Model in the geographical coordinates<br> model_global_eclip: Model in the transformed coordinates We note that the tomography was conducted in the transformed coordinates, and the results were brought back to the geographical coordinates using inverse coordinate transformation. The details of the coordinate transformation are described in the above paper. The format of these files is as follows:<br> Depth (km), Latitude(deg), Longitude(deg), Vp(km/s), dVp(%), Hit count We hope it is useful to you. Kind wishes, Genti Toyokuni & Dapeng Zhao<br> Tohoku University, Japan The format of these files is as follows:<br> Depth (km), Latitude(deg), Longitude(deg), Vp(km/s), dVp(%), Hit count We hope it is useful to you. Kind wishes, Genti Toyokuni & Dapeng Zhao<br> Tohoku University, Japan<br> E-mail: toyokuni@tohoku.ac.jp Reference:<br> Toyokuni, G., Matsuno, T., & Zhao, D. (2020).<br> P-wave tomography beneath Greenland and surrounding regions-II. Lower mantle.<br> Journal of Geophysical Research: Solid Earth, under review.
DOI: 10.7910/dvn/a6odvu/aed0bo
title: README.pdf

description: :unav
DOI: 10.7910/dvn/a6odvu/ulsbhp
title: Reproduction Materials.zip

description: :unav
DOI: 10.5517/ccdc.csd.cc2533yc
title: CCDC 1999002: Experimental Crystal Structure Determination

description: Related Article: Sebastian Bette, Gerhard Eggert, Sebastian Emmerling, Martin Etter, Thomas Schleid, Robert E. Dinnebier|2020|Cryst.Growth Des.|20|5346|doi:10.1021/acs.cgd.0c00563