cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8024768
title: Qualitative review data of Indian Public Sector Banks' qualitative review data

description: This data is very useful in text mining. This data s useful for identifying key service quality dimensions for mobile banking apps using text mining.
DOI: 10.34740/kaggle/dsv/5899876
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.23498547
title: List of Tables

description: The list of tables for understanding the urban sprawl of Kolkata Metropolitan Area
DOI: 10.6084/m9.figshare.23498547.v1
title: List of Tables

description: The list of tables for understanding the urban sprawl of Kolkata Metropolitan Area
DOI: 10.5281/zenodo.8024803
title: Evaluation Data for the Annotation of German and English New Testament Texts with Strong's Numbers

description: This repository provides a gold standard for parallel Bible texts and offers annotation of 20 New Testament verses with Strong's numbers referring to Greek words.<br> <br> We considered three German texts (Luther 2017, Schlachter, and Hoffnung für alle) and two English texts (New Revised Standard Version and World English Bible), See https://github.com/jd-s/gold-standard-parallel-bible for more information.
DOI: 10.5281/zenodo.8024802
title: Evaluation Data for the Annotation of German and English New Testament Texts with Strong's Numbers

description: This repository provides a gold standard for parallel Bible texts and offers annotation of 20 New Testament verses with Strong's numbers referring to Greek words.<br> <br> We considered three German texts (Luther 2017, Schlachter, and Hoffnung für alle) and two English texts (New Revised Standard Version and World English Bible), See https://github.com/jd-s/gold-standard-parallel-bible for more information.
DOI: 10.5281/zenodo.8024787
title: Dataset for Multidisciplinary Uncertainty Mining - ver1

description: This dataset contains sentences extracted from articles in various disciplines and annotated with respect to uncertainty in science. It has been produced as part of the ANR InSciM (Modelling Uncertainty in Science) project. The dataset is drawn from reputable scientific articles from a variety of disciplines. It consists of two distinct samples of sentences, each annotated using a different method. The first sample is obtained through uncertainty cue mapping, while the second sample is derived from manual annotation of randomly selected articles. To ensure comprehensive annotation, both samples were manually annotated using our multidimensional annotation framework. For a more comprehensive understanding of the construction of the dataset, including the selection of journals, sampling procedure, and the annotation methodology, see (Ningrum and Atanassova, 2023). This dataset provides valuable insights into the representation of uncertainty within scientific literature across different domains. Researchers and practitioners can utilize this dataset to study and analyze the different dimensions of uncertainty in scientific discourse. The dataset is presented as a CSV table where colons ( are used as delimiters. The columns of the table are as follows : source : 'db' or 'manual' referring to the method used to identify and extract the sentence; article_id : internal id of the article from which the sentence was extracted; sen_id : internal unique id of the sentence; cue : uncertainty cue present in the sentence; text : sentence text; journal_id : short name of the journal; check : 'Y' if the sentence expresses uncertainty and 'N' otherwise; ref, nature, context, timeline, expression : annotations of the type of uncertainty according to the annotation framework proposed by (Ningrum and Atanassova, 2023). It is essential to highlight the presence of duplicate data in the dataset. These duplicates arise from the detection of multiple cues in sentences during the cue mapping procedure. While one might consider omitting these duplicates, we deliberately chose to retain them. This decision allows for a more comprehensive understanding of how the cues manifest within the sentences. By analyzing the duplicate instances, we can gain valuable insights into the various ways in which the cues are expressed. <strong>Bibliography</strong> Ningrum, P. K., Atanassova, I. (2023) "Scientific Uncertainty: an Annotation Framework and Corpus Study in Different Disciplines" In 19th International Conference of the International Society for Scientometrics and Informetrics (ISSI 2023), Bloomington, Indiana, US.
DOI: 10.5281/zenodo.8024786
title: Dataset for Multidisciplinary Uncertainty Mining - ver1

description: This dataset contains sentences extracted from articles in various disciplines and annotated with respect to uncertainty in science. It has been produced as part of the ANR InSciM (Modelling Uncertainty in Science) project. The dataset is drawn from reputable scientific articles from a variety of disciplines. It consists of two distinct samples of sentences, each annotated using a different method. The first sample is obtained through uncertainty cue mapping, while the second sample is derived from manual annotation of randomly selected articles. To ensure comprehensive annotation, both samples were manually annotated using our multidimensional annotation framework. For a more comprehensive understanding of the construction of the dataset, including the selection of journals, sampling procedure, and the annotation methodology, see (Ningrum and Atanassova, 2023). This dataset provides valuable insights into the representation of uncertainty within scientific literature across different domains. Researchers and practitioners can utilize this dataset to study and analyze the different dimensions of uncertainty in scientific discourse. The dataset is presented as a CSV table where colons ( are used as delimiters. The columns of the table are as follows : source : 'db' or 'manual' referring to the method used to identify and extract the sentence; article_id : internal id of the article from which the sentence was extracted; sen_id : internal unique id of the sentence; cue : uncertainty cue present in the sentence; text : sentence text; journal_id : short name of the journal; check : 'Y' if the sentence expresses uncertainty and 'N' otherwise; ref, nature, context, timeline, expression : annotations of the type of uncertainty according to the annotation framework proposed by (Ningrum and Atanassova, 2023). It is essential to highlight the presence of duplicate data in the dataset. These duplicates arise from the detection of multiple cues in sentences during the cue mapping procedure. While one might consider omitting these duplicates, we deliberately chose to retain them. This decision allows for a more comprehensive understanding of how the cues manifest within the sentences. By analyzing the duplicate instances, we can gain valuable insights into the various ways in which the cues are expressed. <strong>Bibliography</strong> Ningrum, P. K., Atanassova, I. (2023) "Scientific Uncertainty: an Annotation Framework and Corpus Study in Different Disciplines" In 19th International Conference of the International Society for Scientometrics and Informetrics (ISSI 2023), Bloomington, Indiana, US.
DOI: 10.5519/qd.dlgvsv1d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34740/kaggle/dsv/5900071
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/5900072
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.23498667
title: SNP Wheat

description: The sequencing data of 126 accessions
DOI: 10.5281/zenodo.8024392
title: Uzbek School corpus (dictionary)

description: <strong>Uzbek School Literature Corpus: A Comprehensive Collection for Language Research and Education</strong> This project presents a comprehensive language corpus comprising various forms of school literature in Uzbek, spanning grades 1 to 9. The corpus includes diverse texts such as storybooks, textbooks, poems, and essays, providing a representative sample of linguistic and literary contexts within the educational system. It serves as a valuable resource for linguistic research, educational development, and language-related applications. The corpus can be accessed through a repository, fostering collaboration and advancing linguistic research, education, and language technology.
DOI: 10.5281/zenodo.8024393
title: Uzbek School corpus (dictionary)

description: <strong>Uzbek School Literature Corpus: A Comprehensive Collection for Language Research and Education</strong> This project presents a comprehensive language corpus comprising various forms of school literature in Uzbek, spanning grades 1 to 9. The corpus includes diverse texts such as storybooks, textbooks, poems, and essays, providing a representative sample of linguistic and literary contexts within the educational system. It serves as a valuable resource for linguistic research, educational development, and language-related applications. The corpus can be accessed through a repository, fostering collaboration and advancing linguistic research, education, and language technology.
DOI: 10.57841/casdc.0001217
title: 中国西南水文多样性数据
DOI: 10.57841/casdc.0001218
title: 中国人口空间分布数据集（1995、2000、2005、2010和2015共五期）
DOI: 10.57745/2p1h51
title: statistical_methods.pdf

description: Description of the workflow and statistical methods
DOI: 10.57745/1erbdu
title: SupTabS2_anovatable.tsv
DOI: 10.57745/iasolj
title: AFratio_confidence_interval.tsv
DOI: 10.57745/gwher5
title: feeding_bioassay_count_table.tab
DOI: 10.57745/z8nwry
title: FB_raw_data_behavioural_categ.tab
DOI: 10.57745/nrqvck
title: fig1_methods.svg
DOI: 10.57745/qbcnpj
title: fig1_methods.pdf
DOI: 10.57745/bqromq
title: phenylpropanoid_tikz.tex
DOI: 10.57745/emkxo4
title: central_carbon_tikz.tex
DOI: 10.57745/cc648w
title: core_panel_FFT.tab
DOI: 10.57745/ndxugu
title: 2020-01-29_Pheno_Metabolite_Average.tab
DOI: 10.57745/dej7ip
title: 2020-01-29_Pheno_Enzyme_Average.tab
DOI: 10.57745/f31i78
title: 2020-01-29_Pheno_Physio_Average.tab
DOI: 10.57745/miw4xn
title: list_traits.ods
DOI: 10.57745/pv3mx9
title: leaf_number_core_panel.tsv
DOI: 10.57745/htwwr5
title: cam02_f_popbiol_serre_F918_2019-11-21_none_0.000.tsv
DOI: 10.57745/o3bosx
title: cam02_e_popbiol_serre_LO32_2019-11-21_none_0.000.tsv
DOI: 10.57745/c23wet
title: cam04_d_popbiol_serre_NYS302_2019-11-21_none_0.000.tsv
DOI: 10.57745/4bagjf
title: cam01_c_popbiol_serre_C105_2019-11-21_none_0.000.tsv
DOI: 10.57745/rbxjbc
title: cam03_b_popbiol_serre_LO3_2019-11-21_none_0.000.tsv
DOI: 10.57745/m1hfzp
title: cam01_a_popbiol_serre_SA24U_2019-11-21_none_0.000.tsv
DOI: 10.57745/zicdza
title: cam04_e_popbiol_serre_Mo17_2019-11-21_none_0.000.tsv
DOI: 10.57745/vuq52n
title: cam01_a_popbiol_serre_ND36_2019-11-21_none_0.000.tsv
DOI: 10.57745/j8quni
title: cam04_f_popbiol_serre_F618_2019-11-21_none_0.000.tsv
DOI: 10.57745/28guv9
title: cam01_b_popbiol_serre_F66_2019-11-21_none_0.000.tsv
DOI: 10.57745/2izfgf
title: cam02_f_popbiol_serre_FV2_2019-11-21_none_0.000.tsv
DOI: 10.57745/axo98h
title: cam01_c_popbiol_serre_Cm484_2019-11-21_none_0.000.tsv
DOI: 10.57745/vshbfd
title: cam02_e_popbiol_serre_FV252_2019-11-21_none_0.000.tsv
DOI: 10.57745/3fx9pb
title: cam01_b_popbiol_serre_B73_2019-11-21_none_0.000.tsv
DOI: 10.57745/9f5b9r
title: cam02_d_popbiol_serre_HP301_2019-11-21_none_0.000.tsv
DOI: 10.57745/cqlynm
title: cam03_a_popbiol_serre_MBS847_2019-11-21_none_0.000.tsv
DOI: 10.57745/xtu0xa
title: cam02_d_popbiol_serre_F271_2019-11-21_none_0.000.tsv
DOI: 10.57745/ko0pmg
title: cam03_b_popbiol_serre_F271_2019-11-14_none_0.000.tsv
DOI: 10.57745/me2vmg
title: cam03_c_popbiol_serre_F64_2019-11-21_none_0.000.tsv
DOI: 10.57745/euaz5a
title: cam04_d_popbiol_serre_FV252_2019-11-14_none_0.000.tsv
DOI: 10.57745/in3lqg
title: cam01_b_popbiol_serre_MBS847_2019-11-14_none_0.000.tsv
DOI: 10.57745/9midsm
title: cam02_d_popbiol_serre_F64_2019-11-14_none_0.000.tsv
DOI: 10.57745/e8oot0
title: cam01_c_popbiol_serre_Mo17_2019-11-14_none_0.000.tsv
DOI: 10.57745/kmvzq3
title: cam03_a_popbiol_serre_LO32_2019-11-14_none_0.000.tsv
DOI: 10.57745/vgbnrn
title: cam04_e_popbiol_serre_SA24U_2019-11-14_none_0.000.tsv
DOI: 10.57745/h66gnk
title: cam04_d_popbiol_serre_F918_2019-11-14_none_0.000.tsv
DOI: 10.57745/af80ca
title: cam03_a_popbiol_serre_ND36_2019-11-14_none_0.000.tsv
DOI: 10.57745/ay0kpa
title: cam01_a_popbiol_serre_F618_2019-11-14_none_0.000.tsv
DOI: 10.57745/lzzrfz
title: cam02_f_popbiol_serre_NYS302_2019-11-14_none_0.000.tsv
DOI: 10.57745/eu1rz2
title: cam04_f_popbiol_serre_F66_2019-11-14_none_0.000.tsv
DOI: 10.57745/uh86b8
title: cam03_c_popbiol_serre_B73_2019-11-14_none_0.000.tsv
DOI: 10.57745/bdesir
title: cam03_c_popbiol_serre_FV2_2019-11-14_none_0.000.tsv
DOI: 10.57745/14p8zz
title: cam04_f_popbiol_serre_HP301_2019-11-14_none_0.000.tsv
DOI: 10.57745/z97guv
title: cam03_b_popbiol_serre_C105_2019-11-14_none_0.000.tsv
DOI: 10.57745/sslipg
title: cam02_e_popbiol_serre_LO3_2019-11-14_none_0.000.tsv
DOI: 10.57745/5u545x
title: cam04_e_popbiol_serre_Cm484_2019-11-14_none_0.000.tsv
DOI: 10.57745/s2ncjg
title: cam01_c_popbiol_serre_LO3_2019-11-28_none_0.000.tsv
DOI: 10.57745/wvkmw0
title: cam03_c_popbiol_serre_FV252_2019-11-28_none_0.000.tsv
DOI: 10.57745/r9vpcd
title: cam02_f_popbiol_serre_MBS847_2019-11-28_none_0.000.tsv
DOI: 10.57745/yk4dfv
title: cam04_e_popbiol_serre_LO32_2019-11-28_none_0.000.tsv
DOI: 10.57745/o9xd6o
title: cam01_a_popbiol_serre_NYS302_2019-11-28_none_0.000.tsv
DOI: 10.57745/mgta4w
title: cam03_b_popbiol_serre_HP301_2019-11-28_none_0.000.tsv
DOI: 10.57745/qlfa9g
title: cam04_d_popbiol_serre_B73_2019-11-28_none_0.000.tsv
DOI: 10.57745/osbh0p
title: cam03_b_popbiol_serre_Cm484_2019-11-28_none_0.000.tsv
DOI: 10.57745/essgij
title: cam04_d_popbiol_serre_FV2_2019-11-28_none_0.000.tsv
DOI: 10.57745/v2fzvt
title: cam04_f_popbiol_serre_ND36_2019-11-28_none_0.000.tsv
DOI: 10.57745/jpfhsb
title: cam03_c_popbiol_serre_F918_2019-11-28_none_0.000.tsv
DOI: 10.57745/aqxwjx
title: cam01_b_popbiol_serre_C105_2019-11-28_none_0.000.tsv
DOI: 10.57745/h6wadj
title: cam04_f_popbiol_serre_F64_2019-11-28_none_0.000.tsv
DOI: 10.57745/wlzo0j
title: cam02_d_popbiol_serre_Mo17_2019-11-28_none_0.000.tsv
DOI: 10.57745/jbamcb
title: cam04_e_popbiol_serre_F271_2019-11-28_none_0.000.tsv
DOI: 10.57745/prelrf
title: cam03_a_popbiol_serre_F66_2019-11-28_none_0.000.tsv
DOI: 10.57745/zrcphq
title: cam03_a_popbiol_serre_SA24U_2019-11-28_none_0.000.tsv
DOI: 10.57745/i268sh
title: cam02_e_popbiol_serre_F618_2019-11-28_none_0.000.tsv
DOI: 10.57745/jxrdxg
title: cam04_e_popbiol_serre_MBS847_2019-12-05_none_0.000.tsv
DOI: 10.57745/yjnwyl
title: cam04_f_popbiol_serre_C105_2019-12-05_none_0.000.tsv
DOI: 10.57745/gf1tbi
title: cam01_c_popbiol_serre_HP301_2019-12-05_none_0.000.tsv
DOI: 10.57745/ds8a6y
title: cam02_f_popbiol_serre_ND36_2019-12-05_none_0.000.tsv
DOI: 10.57745/n2sdju
title: cam03_b_popbiol_serre_NYS302_2019-12-05_none_0.000.tsv
DOI: 10.57745/svaryw
title: cam01_b_popbiol_serre_Mo17_2019-12-05_none_0.000.tsv
DOI: 10.57745/i9nbur
title: cam01_b_popbiol_serre_F918_2019-12-05_none_0.000.tsv
DOI: 10.57745/3csoow
title: cam01_a_popbiol_serre_FV2_2019-12-05_none_0.000.tsv
DOI: 10.57745/cfscze
title: cam03_c_popbiol_serre_F618_2019-12-05_none_0.000.tsv
DOI: 10.57745/ihlz01
title: cam02_a_popbiol_serre_F271_2019-12-05_none_0.000.tsv
DOI: 10.57745/odspcc
title: cam02_d_popbiol_serre_F64_2019-12-05_none_0.000.tsv
DOI: 10.57745/r732m7
title: cam02_e_popbiol_serre_Cm484_2019-12-05_none_0.000.tsv
DOI: 10.57745/maynnp
title: cam02_e_popbiol_serre_B73_2019-12-05_none_0.000.tsv
DOI: 10.57745/46x69n
title: cam01_c_popbiol_serre_F66_2019-12-05_none_0.000.tsv
DOI: 10.57745/3jwgkl
title: cam01_a_popbiol_serre_SA24U_2019-12-05_none_0.000.tsv
DOI: 10.57745/j98hwr
title: cam04_d_popbiol_serre_LO3_2019-12-05_none_0.000.tsv
DOI: 10.57745/0vszhb
title: cam03_a_popbiol_serre_FV252_2019-12-05_none_0.000.tsv
DOI: 10.57745/a8xebj
title: cam02_f_popbiol_serre_LO32_2019-12-05_none_0.000.tsv
DOI: 10.57745/cqiutg
title: fig3_correlation_FT_AFR.pdf
DOI: 10.57745/h0syge
title: Tab3_correlation_table.tex
DOI: 10.57745/erf8dy
title: sota_profiles.pdf
DOI: 10.57745/rmg2xb
title: barplot_replicates_examples.pdf
DOI: 10.57745/3h2jso
title: SupFig7_boxplot_CNratio.pdf
DOI: 10.57745/5zl04v
title: fig5_pairwise_correlations_examples_withpoints.pdf
DOI: 10.57745/f1qbbk
title: barplot_behav_categ_summary_stats.pdf
DOI: 10.57745/dbplpq
title: pairwise_correlations.pdf
DOI: 10.57745/jpb97m
title: pca_grps.pdf
DOI: 10.57745/ettlp5
title: pcacol.pdf
DOI: 10.57745/jigkri
title: fig4_pca.pdf
DOI: 10.57745/hmcdwp
title: Fig2a_barplot_ave.pdf
DOI: 10.57745/9h7iwq
title: check_met_concentrations_distribution.pdf
DOI: 10.57745/epcazy
title: Fig2b_AFratio_lsmeans.pdf
DOI: 10.57745/i50ewv
title: SupFig8_anova_residuals.pdf
DOI: 10.57745/6orefc
title: 02_statistical_analyses_feeding_behaviour.R
DOI: 10.57745/vckpuu
title: plot_functions.R
DOI: 10.57745/o3v5hi
title: R01_C01.png
DOI: 10.57745/n77uep
title: todrop.tab
DOI: 10.57745/yoox1m
title: R00_C00.png
DOI: 10.57745/bxfhsn
title: statistical_methods.Rmd
DOI: 10.57745/btjhu3
title: 00_transform_csv_into_tsv.R
DOI: 10.57745/tpd8hl
title: 01_read_raw_data_attribute_behavioural_categories.R
DOI: 10.57745/etkpeb
title: statistical_methods.bib
DOI: 10.57745/nnkren
title: read_functions.R
DOI: 10.57745/ax8wrw
title: install.R
DOI: 10.57745/wttjlb
title: gpl-3.0.md
DOI: 10.57745/sped7n
title: 03_correlation_analyses.R
DOI: 10.6084/m9.figshare.23260463.v3
title: <strong>The genome of the glasshouse plant noble rhubarb (</strong><em><strong>Rheum nobile</strong></em><strong>) provides a window into the alpine adaptation</strong>

description: Source data behind the graphs in Rheum genome paper
DOI: 10.6084/m9.figshare.23260463.v2
title: Source data behind the graphs in Rheum genome paper

description: Source data behind the graphs in Rheum genome paper
DOI: 10.57841/casdc.0001219
title: 中国南方地上生物量碳密度数据集（2002-2017）
DOI: 10.5281/zenodo.8024890
title: spatula_querquedula_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8024889
title: spatula_querquedula_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/5900523
title: COVID Vaccination in World (updated daily)
DOI: 10.21227/qv5b-h874
title: data for optical hybrid 

description: The optical hybrid is mainly used to split and combine the signal beam and the local oscillator beam from two inputs, thereby generating four mixed beams with a relative phase difference of 90°. 90º optical hybrid is suitable for coherent signal demodulation for either homodyne or heterodyne detection. The device accepts the two optical signals (S & L) and generates four output signals: S+L, S-L, S+jL, and S-jL. When these signals are detected by two balanced receivers, both the amplitude and the relative phase information between the input signals can be extracted via differential detection and digital signal processing.
DOI: 10.5281/zenodo.8024901
title: Effects of hyporheic exchange and settlement on the particle size distribution of colloids

description: The files refer to the data set files used in the manuscript (txt and ew format), and the matlab files (mat and m format).
DOI: 10.5281/zenodo.8024900
title: Effects of hyporheic exchange and settlement on the particle size distribution of colloids

description: The files refer to the data set files used in the manuscript (txt and ew format), and the matlab files (mat and m format).
DOI: 10.5281/zenodo.8024877
title: ChangxunZ_SCM-PINNs_for_dambreak

description: The data and codes for SCM-PINNs
DOI: 10.5281/zenodo.8024876
title: ChangxunZ_SCM-PINNs_for_dambreak

description: The data and codes for SCM-PINNs
DOI: 10.6084/m9.figshare.22692082
title: Riches of the Roma Valley: Mokhosi

description: Appendix data (PNG and MS excel) for 'Riches of the Roma Valley: theropod and ornithischian tracks from the Early Jurassic southern Africa'. <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>
DOI: 10.6084/m9.figshare.22692082.v1
title: Riches of the Roma Valley: Mokhosi

description: Appendix data (PNG and MS excel) for 'Riches of the Roma Valley: theropod and ornithischian tracks from the Early Jurassic southern Africa'. <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>
DOI: 10.5281/zenodo.8024935
title: Transposable elements potentiate radiotherapy-induced cellular immune reactions via RIG-I-mediated virus-sensing pathways

description: Mass spectrometry-based proteomics source data.
DOI: 10.5281/zenodo.8024934
title: Transposable elements potentiate radiotherapy-induced cellular immune reactions via RIG-I-mediated virus-sensing pathways

description: Mass spectrometry-based proteomics source data.
DOI: 10.5517/ccdc.csd.cc2cl7qy
title: CCDC 2192280: Experimental Crystal Structure Determination

description: Related Article: Caiyou Chen, Gregory C. Fu|2023|Nature (London)|618|301|doi:10.1038/s41586-023-06001-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cl7rz
title: CCDC 2192281: Experimental Crystal Structure Determination

description: Related Article: Caiyou Chen, Gregory C. Fu|2023|Nature (London)|618|301|doi:10.1038/s41586-023-06001-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cl7s0
title: CCDC 2192282: Experimental Crystal Structure Determination

description: Related Article: Caiyou Chen, Gregory C. Fu|2023|Nature (London)|618|301|doi:10.1038/s41586-023-06001-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cl7t1
title: CCDC 2192283: Experimental Crystal Structure Determination

description: Related Article: Caiyou Chen, Gregory C. Fu|2023|Nature (London)|618|301|doi:10.1038/s41586-023-06001-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cl7v2
title: CCDC 2192284: Experimental Crystal Structure Determination

description: Related Article: Caiyou Chen, Gregory C. Fu|2023|Nature (London)|618|301|doi:10.1038/s41586-023-06001-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cl7w3
title: CCDC 2192285: Experimental Crystal Structure Determination

description: Related Article: Caiyou Chen, Gregory C. Fu|2023|Nature (London)|618|301|doi:10.1038/s41586-023-06001-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.