cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/3173094
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.6050675
title: Mock up dataset for daGOAT project

description: This dataset, which contains mocked severe-aGVHD data, is intended to be used as test input for ./Code/severe-aGVHD/ in daGOAT project (https://github.com/chenjunren-ihcams/daGOAT). The dataset include three parts. 1) all dynamic features for each patient across the whole observation time is provided as single csv file under /processed folder 2) all peri-transplantation features, presence/absence of severe aGVHD within 100 days, and onset dates of severe aGVHD are provided in "encoded.csv" 3) The name of each dynamic folder is provided in "keys.csv"
DOI: 10.5281/zenodo.6050674
title: Mock up dataset for daGOAT project

description: This dataset, which contains mocked severe-aGVHD data, is intended to be used as test input for ./Code/severe-aGVHD/ in daGOAT project (https://github.com/chenjunren-ihcams/daGOAT). The dataset include three parts. 1) all dynamic features for each patient across the whole observation time is provided as single csv file under /processed folder 2) all peri-transplantation features, presence/absence of severe aGVHD within 100 days, and onset dates of severe aGVHD are provided in "encoded.csv" 3) The name of each dynamic folder is provided in "keys.csv"
DOI: 10.3886/e115063v1-109320
title: Social Determinants and Gun Homicides

description: Social determinants and gun homicide data.
DOI: 10.5281/zenodo.6050722
title: Three Datasets Cloned from GNNBenchmarkingDatasets

description: This is only a cloned version for three datasets from GNNBenchmarkingDatasets in pytorch geometric library.
description: {"references": ["Benchmarking Graph Neural Networks, arXiv:2003.00982, 2020"]}
DOI: 10.5281/zenodo.6050721
title: Three Datasets Cloned from GNNBenchmarkingDatasets

description: This is only a cloned version for three datasets from GNNBenchmarkingDatasets in pytorch geometric library.
description: {"references": ["Benchmarking Graph Neural Networks, arXiv:2003.00982, 2020"]}
DOI: 10.6084/m9.figshare.18737750
title: Erratum to Luna et al. (2022) - Ecology letters, 25(1), 113-124.

description: Erratum to Luna, P., Villalobos, F., Escobar, F., Neves, F. S., & Dáttilo, W. (2022). Global trends in the trophic specialisation of flower‐visitor networks are explained by current and historical climate. Ecology letters, 25(1), 113-124.<br>A new updated dataset and all code used to conduct our analyses is provided
DOI: 10.6084/m9.figshare.18737750.v2
title: Erratum to Luna et al. (2022) - Ecology letters, 25(1), 113-124.

description: Erratum to Luna, P., Villalobos, F., Escobar, F., Neves, F. S., & Dáttilo, W. (2022). Global trends in the trophic specialisation of flower‐visitor networks are explained by current and historical climate. Ecology letters, 25(1), 113-124.<br>A new updated dataset and all code used to conduct our analyses is provided
DOI: 10.6084/m9.figshare.18737750.v1
title: Erratum to Luna et al. (2022) - Ecology letters, 25(1), 113-124.

description: Erratum to Luna, P., Villalobos, F., Escobar, F., Neves, F. S., & Dáttilo, W. (2022). Global trends in the trophic specialisation of flower‐visitor networks are explained by current and historical climate. Ecology letters, 25(1), 113-124.<br>A new updated dataset and all code used to conduct our analyses is provided
DOI: 10.6084/m9.figshare.19164371
title: Erratum to Luna et al. (2022) - Ecology letters, 25(1), 113-124.

description: <b>Erratum to Luna, P., Villalobos, F., Escobar, F., Neves, F. S., & Dáttilo, W. (2022). Global trends in the trophic specialisation of flower‐visitor networks are explained by current and historical climate. Ecology Letters, 25(1), 113-124.</b><b><br></b><b>A new updated dataset and all code used to conduct our analyses is provided</b>
DOI: 10.6084/m9.figshare.19164371.v1
title: Erratum to Luna et al. (2022) - Ecology letters, 25(1), 113-124.

description: <b>Erratum to Luna, P., Villalobos, F., Escobar, F., Neves, F. S., & Dáttilo, W. (2022). Global trends in the trophic specialisation of flower‐visitor networks are explained by current and historical climate. Ecology Letters, 25(1), 113-124.</b><b><br></b><b>A new updated dataset and all code used to conduct our analyses is provided</b>
DOI: 10.6084/m9.figshare.19164374
title: Erratum to Luna et al. (2022) - Ecology Letters, 25(1), 113-124.

description: <b>Erratum to <i>Luna, P., Villalobos, F., Escobar, F., Neves, F. S., & Dáttilo, W. (2022). Global trends in the trophic specialisation of flower‐visitor networks are explained by current and historical climate. Ecology Letters, 25(1), 113-124.</i></b><b><br></b><b>A new updated dataset and all code used to conduct our analyses is provided.</b>
DOI: 10.6084/m9.figshare.19164374.v1
title: Erratum to Luna et al. (2022) - Ecology Letters, 25(1), 113-124.

description: <b>Erratum to <i>Luna, P., Villalobos, F., Escobar, F., Neves, F. S., & Dáttilo, W. (2022). Global trends in the trophic specialisation of flower‐visitor networks are explained by current and historical climate. Ecology Letters, 25(1), 113-124.</i></b><b><br></b><b>A new updated dataset and all code used to conduct our analyses is provided.</b>
DOI: 10.5281/zenodo.6050792
title: Mechanism of the 2017 Mw 6.3 Pasni earthquake and its significance for future major earthquakes in the eastern Makran

description: On 7th February 2017, a moment magnitude (M<sub>w</sub>) 6.3 earthquake rattled offshore Pasni in the eastern Makran and triggered a small tsunami. Using a combination of seismicity, multibeam bathymetry, seismic profile, InSAR measurements, and tide gauge observation, we conduct an in-depth investigation into the seismogenic structure, coseismic deformation, and tsunami characteristics of this event. Our results indicate that (1) the earthquake occurred on the shallow-dipping (3-4°) megathrust; (2) the megathrust co-seismically slipped 15 cm and caused ~2-4 cm ground subsidence and uplift at Pasni; (3) our tsunami modeling reproduces the observed 5-cm-high small tsunami waveforms. The Pasni earthquake rupture partially overlaps the 1851 and 1945 earthquake (M&gt;8) slip patches, releasing estimated 3% and 7% of accumulative strain since then. With such stress perturbation, the Pasni earthquake could promote failure of megathrust in the future. This study calls for more preparedness in mitigating earthquake and associated hazards in the eastern Makran.
DOI: 10.5281/zenodo.6050791
title: Mechanism of the 2017 Mw 6.3 Pasni earthquake and its significance for future major earthquakes in the eastern Makran

description: On 7th February 2017, a moment magnitude (M<sub>w</sub>) 6.3 earthquake rattled offshore Pasni in the eastern Makran and triggered a small tsunami. Using a combination of seismicity, multibeam bathymetry, seismic profile, InSAR measurements, and tide gauge observation, we conduct an in-depth investigation into the seismogenic structure, coseismic deformation, and tsunami characteristics of this event. Our results indicate that (1) the earthquake occurred on the shallow-dipping (3-4°) megathrust; (2) the megathrust co-seismically slipped 15 cm and caused ~2-4 cm ground subsidence and uplift at Pasni; (3) our tsunami modeling reproduces the observed 5-cm-high small tsunami waveforms. The Pasni earthquake rupture partially overlaps the 1851 and 1945 earthquake (M&gt;8) slip patches, releasing estimated 3% and 7% of accumulative strain since then. With such stress perturbation, the Pasni earthquake could promote failure of megathrust in the future. This study calls for more preparedness in mitigating earthquake and associated hazards in the eastern Makran.
DOI: 10.5517/ccdc.csd.cc25knm1
title: CCDC 2012973: Experimental Crystal Structure Determination

description: Related Article: Alejandro Torres, Alba Collado, Mar Gómez-Gallego, Carmen Ramírez de Arellano, Miguel A. Sierra|2021|ACS Org. Inorg. Au|2|23|doi:10.1021/acsorginorgau.1c00011
DOI: 10.6084/m9.figshare.19161368
title: Raw mass spec data

description: Raw mass spectrometry data for the mycelia, zoospores and secretome (in triplicate) for the manuscript "Unravelling the pathogenicity of the oomycete <i>Phytophthora cinnamomi</i> through comparative sub-proteome profiling"
DOI: 10.21947/1406992
title: Buoy - Virginia - Wind Sentinel Vindicator 3 (120) - Raw Data

description: Data collected to explore wind energy applications
DOI: 10.21947/1406993
title: Buoy - New Jersey - Wind Sentinel Vindicator 3 (130) - Raw Data

description: Wind energy research
DOI: 10.5439/1844501
title: ARM: X-Band Precipitation Radar (XPRECIPRADAR)

description: xprecipradar
DOI: 10.15121/1844510
title: Reactive Transport Modeling of Aquifer Thermal Energy Storage System at Stockton, NJ

description: This is the modeling data (input/output files of TOUGHREACT 4.10) used to simulate the reactive transport processes of the Aquifer Thermal Energy Storage (ATES) operations at Stockton University, NJ. Readme.txt lists all the files. TOUGHREACT 4.10 requires to reproduce the modeling output. The modeling data in this submission is related to the Aquifer Injection for Energy Storage purposes outlined in "Reactive Transport Modeling of Aquifer Thermal Energy Storage System at Stockton, NJ During Seasonal Operations".
DOI: 10.6084/m9.figshare.19164386
title: S1 Data File

description: Meteorological data
DOI: 10.5517/ccdc.csd.cc298gdg
title: CCDC 2123295: Experimental Crystal Structure Determination

description: Related Article: Yanliang Yi, Xinyuan Ma, Ruiwen Liu, Xindang Chu, Haiwei Li, Jiayi Zhang, Qianqian Gao, Yongmin Zhang, Lihe Zhang, Demin Zhou, Sulong Xiao|2022|Tetrahedron Lett.|91|153638|doi:10.1016/j.tetlet.2022.153638
DOI: 10.6084/m9.figshare.19164389
title: S2 Data File

description: hydrological data (S2 Data File)
DOI: 10.5281/zenodo.6050955
title: Exprimental Data:Caspase-11 non-canonical inflammasome mediates the expression of proinflammatory cytokines in murine macrophages infected with leptospira interrogans.

description: This is the exprimental data of manuscripts submitted in ALL LIFE magazine. The title is Caspase-11 non-canonical inflammasome mediates the expression of proinflammatory cytokines in murine macrophages infected with leptospira interrogans.)
DOI: 10.5281/zenodo.6050954
title: Exprimental Data:Caspase-11 non-canonical inflammasome mediates the expression of proinflammatory cytokines in murine macrophages infected with leptospira interrogans.

description: This is the exprimental data of manuscripts submitted in ALL LIFE magazine. The title is Caspase-11 non-canonical inflammasome mediates the expression of proinflammatory cytokines in murine macrophages infected with leptospira interrogans.)
DOI: 10.6084/m9.figshare.19164482
title: Additional file 2 of The effect of social relationships on cognitive decline in older adults: an updated systematic review and meta-analysis of longitudinal cohort studies

description: Additional file 2 supp-mat-replication.csv includes data for meta-analysis replication.
DOI: 10.6084/m9.figshare.19164482.v1
title: Additional file 2 of The effect of social relationships on cognitive decline in older adults: an updated systematic review and meta-analysis of longitudinal cohort studies

description: Additional file 2 supp-mat-replication.csv includes data for meta-analysis replication.
DOI: 10.6084/m9.figshare.19164481
title: Additional file 1 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 1. DESS EFA Data: The EFA includes applied data.
DOI: 10.6084/m9.figshare.19164484
title: Additional file 2 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 2. DESS CFA Data: The CFA includes applied data.
DOI: 10.6084/m9.figshare.19164484.v1
title: Additional file 2 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 2. DESS CFA Data: The CFA includes applied data.
DOI: 10.6084/m9.figshare.19164487
title: Additional file 3 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 3. F1 IRT Data: It includes data for which IRT is applied to factor 1.
DOI: 10.6084/m9.figshare.19164487.v1
title: Additional file 3 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 3. F1 IRT Data: It includes data for which IRT is applied to factor 1.
DOI: 10.6084/m9.figshare.19164490
title: Additional file 4 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 4. F2 IRT Data: It includes data for which IRT is applied to factor 2.
DOI: 10.6084/m9.figshare.19164490.v1
title: Additional file 4 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 4. F2 IRT Data: It includes data for which IRT is applied to factor 2.
DOI: 10.6084/m9.figshare.19164493
title: Additional file 5 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 5. F3 IRT Data: It includes data for which IRT is applied to factor 3.
DOI: 10.6084/m9.figshare.19164493.v1
title: Additional file 5 of Validity and reliability evidence for the scale of distance education satisfaction of medical students based on item response theory (IRT)

description: Additional file 5. F3 IRT Data: It includes data for which IRT is applied to factor 3.
DOI: 10.6084/m9.figshare.19164574
title: Additional file 1 of Scavenger receptor CD36 governs recruitment of myeloid cells to the blood–CSF barrier after stroke in neonatal mice

description: Additional file 1. The list of RNA sequencing, normalized count and differential expression data for naive/sham pups and pups subjected to tMCAO.
DOI: 10.6084/m9.figshare.19164574.v1
title: Additional file 1 of Scavenger receptor CD36 governs recruitment of myeloid cells to the blood–CSF barrier after stroke in neonatal mice

description: Additional file 1. The list of RNA sequencing, normalized count and differential expression data for naive/sham pups and pups subjected to tMCAO.
DOI: 10.6084/m9.figshare.13635167
title: Data COVID-19

description: Time series
DOI: 10.6084/m9.figshare.13635167.v1
title: Data COVID-19

description: Time series
DOI: 10.6084/m9.figshare.19163918
title: Example data for deep learning

description: These are saggital brain images from the ABIDE2 dataset. The data are resampled into 50-by-50 pixel images. Diagnosis labels (autism yes/no) as well as subject identifiers in the ABIDE2 dataset are also provided. See also https://figshare.com/articles/dataset/Lightly_processed_ABIDE_II_statistics/16959148
DOI: 10.6084/m9.figshare.19163918.v1
title: Example data for deep learning

description: These are saggital brain images from the ABIDE2 dataset. The data are resampled into 50-by-50 pixel images. Diagnosis labels (autism yes/no) as well as subject identifiers in the ABIDE2 dataset are also provided. See also https://figshare.com/articles/dataset/Lightly_processed_ABIDE_II_statistics/16959148
DOI: 10.5517/ccdc.csd.cc2990bz
title: CCDC 2123820: Experimental Crystal Structure Determination

description: Related Article: Tharit Lerdwiriyanupap, Giuseppe Belletti, Paul Tinnemans, Ruel Cedeno, Hugo Meekes, Elias Vlieg, Adrian E. Flood|2022|Cryst.Growth Des.|22|1459|doi:10.1021/acs.cgd.1c01426
DOI: 10.5281/zenodo.6051319
title: O'Hare et al 2022

description: Data and code to reproduce results in O'Hare et al., 2022. Simply unpack data.zip to your destination of choice and, for each notebook in notebooks.zip, set variable 'dataDir' to that location. As mentioned at the top of each notebook, they were created on an iPython2.7 kernel using jupyter notebook with nbextensions to enable toggling by figure. Without toggling, these notebooks will be unwieldy. Code is shown exactly as used to produce each data figure in our manuscript. Feel free to explore the datasets further - most are stored as Pandas DataFrames in .pkl files and are thoroughly annotated, e.g. with animal ID, dendrite type, dendrite order, dendrite path distance to soma, dendrite parent soma, ROI genotype, etc. Enjoy!
DOI: 10.5281/zenodo.6051318
title: O'Hare et al 2022

description: Data and code to reproduce results in O'Hare et al., 2022. Simply unpack data.zip to your destination of choice and, for each notebook in notebooks.zip, set variable 'dataDir' to that location. As mentioned at the top of each notebook, they were created on an iPython2.7 kernel using jupyter notebook with nbextensions to enable toggling by figure. Without toggling, these notebooks will be unwieldy. Code is shown exactly as used to produce each data figure in our manuscript. Feel free to explore the datasets further - most are stored as Pandas DataFrames in .pkl files and are thoroughly annotated, e.g. with animal ID, dendrite type, dendrite order, dendrite path distance to soma, dendrite parent soma, ROI genotype, etc. Enjoy!
DOI: 10.6084/m9.figshare.19164635
title: Dataset

description: Supporting data for the study titled “A Study of Safety Acceptance and Behavioral Interventions for Autonomous Driving Technologies in China”.
DOI: 10.21227/h4h1-vh84
title: Respiratory movment during radiation therapy

description: 20 samples and a total of 106 fractions are delivered, 11 markers are recorded in each fraction, and randomly choosing one marker’s data as one sample. The datasets range in duration varies from 20 to 40 minutes, which will be mixed into the open-access datasets\footnote{https://signals.rob.uni-luebeck.de/index.php} as augmented data to improve the generalizability of our model to deal with actual complex scenarios.
DOI: 10.5517/ccdc.csd.cc299qfs
title: CCDC 2124505: Experimental Crystal Structure Determination

description: Related Article: Yong-Mei Chai, Hong-Bin Zhang, Xiao-Yi Zhang, Lan-Qin Chai|2022|J.Mol.Struct.|1256|132517|doi:10.1016/j.molstruc.2022.132517
DOI: 10.5517/ccdc.csd.cc299sdt
title: CCDC 2124566: Experimental Crystal Structure Determination

description: Related Article: Rashmi Semwal, Gaurav Badhani, Subbarayappa Adimurthy|2022|Chem.Commun.|58|1585|doi:10.1039/D1CC06803B
DOI: 10.5517/ccdc.csd.cc299sfv
title: CCDC 2124567: Experimental Crystal Structure Determination

description: Related Article: Rashmi Semwal, Gaurav Badhani, Subbarayappa Adimurthy|2022|Chem.Commun.|58|1585|doi:10.1039/D1CC06803B
DOI: 10.5517/ccdc.csd.cc28gd9g
title: CCDC 2099205: Experimental Crystal Structure Determination

description: Related Article: Kun-Peng Chen, Wen-Jing Xu, Yue Ma, Qing-Lun Wang|2022|Cryst.Growth Des.|22|1024|doi:10.1021/acs.cgd.1c00847
DOI: 10.5517/ccdc.csd.cc28gd8f
title: CCDC 2099204: Experimental Crystal Structure Determination

description: Related Article: Kun-Peng Chen, Wen-Jing Xu, Yue Ma, Qing-Lun Wang|2022|Cryst.Growth Des.|22|1024|doi:10.1021/acs.cgd.1c00847
DOI: 10.5517/ccdc.csd.cc28y4hw
title: CCDC 2113378: Experimental Crystal Structure Determination

description: Related Article: Srinivas Chandrasekaran, Takuji Hirose, Koichi Kodama|2022|Tetrahedron|108|132653|doi:10.1016/j.tet.2022.132653
DOI: 10.5517/ccdc.csd.cc28y4jx
title: CCDC 2113379: Experimental Crystal Structure Determination

description: Related Article: Srinivas Chandrasekaran, Takuji Hirose, Koichi Kodama|2022|Tetrahedron|108|132653|doi:10.1016/j.tet.2022.132653
DOI: 10.5517/ccdc.csd.cc28y4ky
title: CCDC 2113380: Experimental Crystal Structure Determination

description: Related Article: Srinivas Chandrasekaran, Takuji Hirose, Koichi Kodama|2022|Tetrahedron|108|132653|doi:10.1016/j.tet.2022.132653
DOI: 10.5517/ccdc.csd.cc28y4lz
title: CCDC 2113381: Experimental Crystal Structure Determination

description: Related Article: Srinivas Chandrasekaran, Takuji Hirose, Koichi Kodama|2022|Tetrahedron|108|132653|doi:10.1016/j.tet.2022.132653
DOI: 10.5517/ccdc.csd.cc28y4m0
title: CCDC 2113382: Experimental Crystal Structure Determination

description: Related Article: Srinivas Chandrasekaran, Takuji Hirose, Koichi Kodama|2022|Tetrahedron|108|132653|doi:10.1016/j.tet.2022.132653
DOI: 10.5517/ccdc.csd.cc29bb99
title: CCDC 2125090: Experimental Crystal Structure Determination

description: Related Article: Selina Schneider, Carsten von Hänisch|2022|Chem.Commun.|58|1522|doi:10.1039/D1CC06741A
DOI: 10.5517/ccdc.csd.cc29bbbb
title: CCDC 2125091: Experimental Crystal Structure Determination

description: Related Article: Selina Schneider, Carsten von Hänisch|2022|Chem.Commun.|58|1522|doi:10.1039/D1CC06741A
DOI: 10.5517/ccdc.csd.cc29bbdd
title: CCDC 2125093: Experimental Crystal Structure Determination

description: Related Article: Selina Schneider, Carsten von Hänisch|2022|Chem.Commun.|58|1522|doi:10.1039/D1CC06741A
DOI: 10.5517/ccdc.csd.cc29bbff
title: CCDC 2125094: Experimental Crystal Structure Determination

description: Related Article: Selina Schneider, Carsten von Hänisch|2022|Chem.Commun.|58|1522|doi:10.1039/D1CC06741A
DOI: 10.5517/ccdc.csd.cc29bbgg
title: CCDC 2125095: Experimental Crystal Structure Determination

description: Related Article: Kateryna V. Vygranenko, Yevgen M. Poronik, Manon H. E. Bousquet, Olena Vakuliuk, Denis Jacquemin, Daniel T. Gryko|2022|Chem.Commun.|58|1542|doi:10.1039/D1CC06924A
DOI: 10.5517/ccdc.csd.cc29bbhh
title: CCDC 2125096: Experimental Crystal Structure Determination

description: Related Article: Kateryna V. Vygranenko, Yevgen M. Poronik, Manon H. E. Bousquet, Olena Vakuliuk, Denis Jacquemin, Daniel T. Gryko|2022|Chem.Commun.|58|1542|doi:10.1039/D1CC06924A
DOI: 10.5517/ccdc.csd.cc26cbvs
title: CCDC 2036695: Experimental Crystal Structure Determination

description: Related Article: Alam Yair Hidalgo, Manuel Velasco, Eduardo Sánchez-Lara, Abraham Gómez-Rivera, Miguel A. Vilchis-Reyes, Cuauhtémoc Alvarado, Maribel Herrera-Ruiz, Ricardo López-Rodríguez, Nancy Romero-Ceronio and Carlos E. Lobato-García|2021|Crystals|11|1589|doi:10.3390/cryst11121589
DOI: 10.5517/ccdc.csd.cc26cbwt
title: CCDC 2036696: Experimental Crystal Structure Determination

description: Related Article: Alam Yair Hidalgo, Manuel Velasco, Eduardo Sánchez-Lara, Abraham Gómez-Rivera, Miguel A. Vilchis-Reyes, Cuauhtémoc Alvarado, Maribel Herrera-Ruiz, Ricardo López-Rodríguez, Nancy Romero-Ceronio and Carlos E. Lobato-García|2021|Crystals|11|1589|doi:10.3390/cryst11121589
DOI: 10.5517/ccdc.csd.cc26cbxv
title: CCDC 2036697: Experimental Crystal Structure Determination

description: Related Article: Alam Yair Hidalgo, Manuel Velasco, Eduardo Sánchez-Lara, Abraham Gómez-Rivera, Miguel A. Vilchis-Reyes, Cuauhtémoc Alvarado, Maribel Herrera-Ruiz, Ricardo López-Rodríguez, Nancy Romero-Ceronio and Carlos E. Lobato-García|2021|Crystals|11|1589|doi:10.3390/cryst11121589
DOI: 10.5517/ccdc.csd.cc29bm4f
title: CCDC 2125364: Experimental Crystal Structure Determination

description: Related Article: Enrique Reyes-Bravo, Dino Gnecco, Jorge R. Juárez, María L. Orea, Sylvain Bernès, David M. Aparicio, Joel L. Terán|2022|RSC Advances|12|4187|doi:10.1039/D1RA09298G
DOI: 10.5517/ccdc.csd.cc29bm5g
title: CCDC 2125365: Experimental Crystal Structure Determination

description: Related Article: Enrique Reyes-Bravo, Dino Gnecco, Jorge R. Juárez, María L. Orea, Sylvain Bernès, David M. Aparicio, Joel L. Terán|2022|RSC Advances|12|4187|doi:10.1039/D1RA09298G
DOI: 10.5517/ccdc.csd.cc29bm6h
title: CCDC 2125366: Experimental Crystal Structure Determination

description: Related Article: Enrique Reyes-Bravo, Dino Gnecco, Jorge R. Juárez, María L. Orea, Sylvain Bernès, David M. Aparicio, Joel L. Terán|2022|RSC Advances|12|4187|doi:10.1039/D1RA09298G
DOI: 10.6084/m9.figshare.19164662
title: Short DNA sequence recognized by ERF2

description: Short DNA sequence recognized by ERF2