cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/67ot6p/dmzfi1
title: rkr_20220225-1_Et2Zn_EtLi_1000_17.xy

description: :unav
DOI: 10.25625/67ot6p/6vd6xm
title: rkr_20220224-2_Et2Zn_EtLi_09.xy

description: :unav
DOI: 10.25625/67ot6p/r1nby2
title: rkr_20220225-1_Et2Zn_EtLi_0_20.xy

description: :unav
DOI: 10.25625/67ot6p/zilik7
title: rkr_20220225-1_Et2Zn_EtLi_0_03.xy

description: :unav
DOI: 10.25625/67ot6p/x8lu7c
title: Et3Zn_CF3CH2OH_TS_Et.xyz

description: :unav
DOI: 10.25625/67ot6p/llh0vz
title: rkr_20220225-1_Et2Zn_EtLi_300_09.xy

description: :unav
DOI: 10.25625/67ot6p/cni3kz
title: MESMER_Et2ZnOH2Li_Et-1.xml

description: :unav
DOI: 10.25625/67ot6p/wkfkhx
title: rkr_20220228-1_Et2Zn_EtLi_250_36.xy

description: :unav
DOI: 10.25625/67ot6p/oszxzu
title: rkr_20220225-1_Et2Zn_EtLi_900_16.xy

description: :unav
DOI: 10.25625/67ot6p/sweqnm
title: H2O_PROD.xyz

description: :unav
DOI: 10.25625/67ot6p/770ild
title: rkr_20220224-2_Et2Zn_EtLi_25_14.xy

description: :unav
DOI: 10.25625/67ot6p/99iawu
title: rkr_20220228-1_Et2Zn_EtLi_175_11.xy

description: :unav
DOI: 10.25625/67ot6p/ervq93
title: COLRATE_Et2ZnOH_CF3CH2OH.inp

description: :unav
DOI: 10.25625/67ot6p/sqnvme
title: rkr_20220228-1_Et2Zn_EtLi_75_28.xy

description: :unav
DOI: 10.25625/67ot6p/simbjq
title: rkr_20220225-1_Et2Zn_EtLi_200_29.xy

description: :unav
DOI: 10.25625/67ot6p/kctzqe
title: Et2ZnOH2Li_CF3CH2OH_IRC_B_OH-2.xyz

description: :unav
DOI: 10.25625/67ot6p/59lprr
title: rkr_20220225-1_Et2Zn_EtLi_500_12.xy

description: :unav
DOI: 10.25625/67ot6p/kjmlc5
title: rkr_20220228-1_Et2Zn_EtLi_0_04.xy

description: :unav
DOI: 10.25625/67ot6p/lylhae
title: Et2ZnOH2Li_CF3CH2OH_IRC_F-2_OH-2.xyz

description: :unav
DOI: 10.25625/67ot6p/cqxcbr
title: Et2ZnOH2Li_CF3CH2OH_TS_Et-2.xyz

description: :unav
DOI: 10.25625/67ot6p/j6v9c8
title: rkr_20220225-1_Et2Zn_EtLi_350_36.xy

description: :unav
DOI: 10.25625/67ot6p/pkdeno
title: ROZnEt2_PROD_OH.xyz

description: :unav
DOI: 10.25625/67ot6p/txuzli
title: Et2ZnOH_REACT.xyz

description: :unav
DOI: 10.25625/67ot6p/1xzr6m
title: rkr_20220224_Et2Zn_EtLi_100_1-06.xy

description: :unav
DOI: 10.25625/67ot6p/v7prl5
title: rkr_20220225-1_Et2Zn_EtLi_250_31.xy

description: :unav
DOI: 10.25625/67ot6p/fun1nz
title: Et2ZnOH_CF3CH2OH_IRC_B_OH.xyz

description: :unav
DOI: 10.25625/67ot6p/remuuo
title: Et2ZnOH_CF3CH2OH_IRC_B_Et.xyz

description: :unav
DOI: 10.25625/67ot6p/wazqcs
title: ORCA_SPE_CALCULATION.inp

description: :unav
DOI: 10.25625/67ot6p/uyltme
title: rkr_20220228-1_Et2Zn_EtLi_125_30.xy

description: :unav
DOI: 10.25625/67ot6p/llkurp
title: rkr_20220224_Et2Zn_EtLi_500_2-03.xy

description: :unav
DOI: 10.25625/67ot6p/coogh0
title: rkr_20220225-1_Et2Zn_EtLi_150_27.xy

description: :unav
DOI: 10.25625/67ot6p/6y5700
title: ROZnEtOH_PROD_Et.xyz

description: :unav
DOI: 10.25625/67ot6p/80ig6l
title: Et2ZnOH2Li_CF3CH2OH_IRC_F_Et-2.xyz

description: :unav
DOI: 10.25625/67ot6p/io6oa4
title: CF3CH2OH_REACT.xyz

description: :unav
DOI: 10.25625/67ot6p/ygcjsd
title: Et2ZnOH2Li_TETRAHEDRAL.xyz

description: :unav
DOI: 10.25625/67ot6p/lhuh4l
title: Et2ZnOH2Li_CF3CH2OH-OH-2_IRC_F_OH-1.xyz

description: :unav
DOI: 10.25625/67ot6p/1xndub
title: EXP_THEO_RATE_CONSTANTS.csv

description: :unav
DOI: 10.25625/67ot6p/auofiq
title: ENERGIES_XYZ_STRUCTURES.tab

description: :unav
DOI: 10.25625/67ot6p/nwloxq
title: README.txt

description: :unav
DOI: 10.25625/67ot6p
title: Replication Data for: C versus O Protonation in Zincate Anions: A Simple Gas-Phase Model for the Surprising Kinetic Stability of Organometallics

description: Replication data set for the publication: Rahrt, R.; Koszinowski, K. C versus O Protonation in Zincate Anions: A Simple Gas-Phase Model for the Surprising Kinetic Stability of Organometallics, Chem. Eur. J. 2023, e202203611. For detailed information about the file and data structure, see README.txt.
DOI: 10.6084/m9.figshare.22312282
title: progenomes3.msh

description: https://github.com/duceppemo/mashID <br> https://progenomes.embl.de/index.cgi <br> 41,766 biosamples
DOI: 10.6084/m9.figshare.22312282.v1
title: progenomes3.msh

description: https://github.com/duceppemo/mashID <br> https://progenomes.embl.de/index.cgi <br> 41,766 biosamples
DOI: 10.7303/syn51072170.3
title: Systems Biology Dissection of PTSD and MDD across brain regions, cell-types and blood
DOI: 10.3886/icpsr04539.v2
title: Supplemental Survey of Civil Appeals, 2001
title: Version 2

description: The 2001 Supplemental Survey of Civil Appeals is a follow-up to the CIVIL JUSTICE SURVEY OF STATE COURTS, 2001 (ICPSR 3957) which examined 8,311 general civil cases (e.g., tort, contract, and real property) concluded by bench or jury trial in a sample of 46 of the nation's 75 most populous counties in 2001. These cases were then weighted to represent the 11,908 general civil trials concluded in the nation's 75 most populous counties. Data from the 2001 Civil Trial Survey were used to produce several Bureau of Justice Statistics (BJS) reports describing the characteristics of civil litigation in state courts. The 2001 Supplemental Survey of Civil Appeals tracks every general civil case concluded by bench or jury trial in 2001 in the 46 surveyed counties that were subsequently appealed to an intermediate appellate court or court of last resort. In the 2001 Civil Justice Survey of State Courts information was collected for every general civil trial concluded in 43 of the 46 selected counties. In these counties, the 2001 Supplemental Survey of Civil Appeals collected information on all general trials that produced an appeal. In the three remaining counties, (Cook County, Philadelphia County, and Bergen County), the appeals survey obtained information for both those general civil trials concluded in 2001 that were subsequently appealed and, in addition, collected information for those general civil appeals that were not captured at the trial court level. The 2001 Supplemental Survey of Civil Appeals tracks data on general civil appeals that originated from 46 of the nation's 75 most populous counties. Unlike the 2001 Civil Justice Survey of State Courts, cases were not weighted to represent appeals in the nation's 75 most populous counties. The appeals were followed until they were withdrawn, dismissed, or decided on the merits in the appellate courts. All appeals were tracked until April 30, 2005. Appeals not disposed on that date are identified as pending. Overall four appellate datasets were produced from this survey.
description: Datasets: DS0: Study-Level Files DS1: Intermediate Appellate Court Data DS2: Court of Last Resort Data DS3: Phase 3 Intermediate Appellate Court Opinion Data DS4: Phase 3 Court of Last Resort Opinion Data DS5: Trial Court Data
description: Tort, contract, and real property cases in the 75 most populous counties in the United States.
DOI: 10.5066/p9crb511
title: Klamath Marsh January Through May Maximum Surface Water Extent, 1985-2021 (ver. 2.0, March 2022)

description: The U.S. Geological Survey Oregon Water Science Center, in cooperation with The Klamath Tribes initiated a project to understand changes in the surface-water extent of Klamath Marsh, Oregon and changes in groundwater levels within and surrounding the marsh. The initial phase of the study focused on developing datasets needed for future interpretive phases of the investigation. This data release documents the creation of a geospatial dataset of January through May maximum surface-water extent based on a model developed by John Jones (2015; 2019) to detect surface-water inundation within vegetated areas from satellite imagery. The Dynamic Surface Water Extent (DSWE) model uses Landsat at-surface reflectance imagery paired with a digital elevation model to classify pixels within a Landsat scene as one of the following types: ?not water?, ?water ? high confidence?, ?water ? moderate confidence?, ?wetland ? moderate confidence?, ?wetland ? low confidence?, and ?cloud/shadow/snow? (Jones, 2015; Walker and others, 2020). The model has been replicated by Walker and others (2020) for use within the Google Earth Engine (GEE, https://code.earthengine.google.com/) online geospatial processing platform. The GEE version of the DSWE model enables users who have limited computer processing power to access DSWE datasets. The JavaScript-based interface enables the selection of specific timeframes for analyzing surface water extent as well as creating composite scenes of maximum surface water extent (MSWE) over a specified timeframe. The GEE platform was used to create MSWE datasets showing maximum surface water inundation within the Klamath Marsh for the months of January through May during 1985 ? 2021. The dataset presented here includes a summary file of maps and figures (.pdf), surface area calculations of January through May MSWE in tabular (.csv) format, study area polygon in vector (.shp) format, and 37 January through May MSWE scenes in raster (.tif) and vector (.shp) format. References Cited Jones, J.W., 2015, Efficient Wetland Surface Water Detection and Monitoring via Landsat: Comparison with in situ Data from the Everglades Depth Estimation Network. Remote Sensing, 7, 12503?12538. Jones, J.W., 2019, Improved Automated Detection of Subpixel-Scale Inundation?Revised Dynamic Surface Water Extent (DSWE) Partial Surface Water Tests. Remote Sensing, 11, 374. https://doi.org/10.3390/rs11040374 Walker, J.J., Petrakis, R.E., and Soulard, C.E., 2020, Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps: U.S. Geological Survey data release, https://doi.org/10.5066/P9LH9YYF.
DOI: 10.34740/kaggle/dsv/5209644
title: Movie Reviews Dataset: 10k+ Scraped Data
DOI: 10.5066/p9rc7rjm
title: Klamath Marsh January Through June Maximum Surface Water Extent, 1985-2021

description: The U.S. Geological Survey Oregon Water Science Center, in cooperation with The Klamath Tribes initiated a project to understand changes in surface-water prevalence of Klamath Marsh, Oregon and changes in groundwater levels within and surrounding the marsh. The initial phase of the study focused on developing datasets needed for future interpretive phases of the investigation. This data release documents the creation of a geospatial dataset of January through June maximum surface-water extent (MSWE) based on a model developed by Jones (2015; 2019) to detect surface-water inundation within vegetated areas from satellite imagery. The Dynamic Surface Water Extent (DSWE) model uses Landsat at-surface reflectance imagery paired with a digital elevation model to classify pixels within a Landsat scene as one of the following types: “not water”, “water – high confidence”, “water – moderate confidence”, “wetland – moderate confidence”, “wetland – low confidence”, and “cloud/shadow/snow” (Jones, 2015; Walker and others, 2020). The model has been replicated by Walker and others (2020) for use within the Google Earth Engine (GEE, https://code.earthengine.google.com/) online geospatial processing platform. The GEE platform was used to create 37 annual composite raster images of maximum surface water inundation within the Klamath Marsh during January through June 1985–2021. The dataset presented here includes surface area calculations of January through June MSWE in tabular (.csv) format, 37 years of composite January through June MSWE datasets in raster (.tif) and vector (.shp) format, and a study area polygon in vector (.shp) format. References Cited: Jones, J.W., 2015, Efficient Wetland Surface Water Detection and Monitoring via Landsat: Comparison with in situ Data from the Everglades Depth Estimation Network. Remote Sensing, 7, 12503–12538. Jones, J.W., 2019, Improved Automated Detection of Subpixel-Scale Inundation—Revised Dynamic Surface Water Extent (DSWE) Partial Surface Water Tests. Remote Sensing, 11, 374. https://doi.org/10.3390/rs11040374 Walker, J.J., Petrakis, R.E., and Soulard, C.E., 2020, Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps: U.S. Geological Survey data release, https://doi.org/10.5066/P9LH9YYF.
DOI: 10.5517/ccdc.csd.cc142hzp
title: CCDC 1045102: Experimental Crystal Structure Determination

description: Related Article: Li Lin, Mei Wang, Jiawei Zhou, Fei Li, Huiyun Liu|2023|Chem.Commun.|59|3606|doi:10.1039/D3CC00554B
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.cc26nh8n
title: CCDC 2045481: Experimental Crystal Structure Determination

description: Related Article: Haipin Zhou, Rui Pan, Menghua Xu, Jiao Ma, Aijun Lin, Hequan Yao|2023|Chem.Commun.|59|3574|doi:10.1039/D2CC06581A
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.cc29f3rm
title: CCDC 2127770: Experimental Crystal Structure Determination

description: Related Article: Paul A. Lummis, Kimberly M. Osten, Tetyana I. Levchenko, Maryam Sabooni Asre Hazer, Sami Malola, Bryan Owens-Baird, Alex J. Veinot, Emily L. Albright, Gabriele Schatte, Shinjiro Takano, Kirill Kovnir, Kevin G. Stamplecoskie, Tatsuya Tsukuda, Hannu Häkkinen, Masakazu Nambo, Cathleen M. Crudden|2022|JACS Au|2|875|doi:10.1021/jacsau.2c00004
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.cc2b6pcm
title: CCDC 2151380: Experimental Crystal Structure Determination

description: Related Article: Ali Y. Chahine, Alan L. Chaffee, Gregory P. Knowles, David R. Turner, Stuart R. Batten|2022|CrystEngComm|24|3416|doi:10.1039/D2CE00269H
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.cc2bfnk0
title: CCDC 2158082: Experimental Crystal Structure Determination

description: Related Article: Xiao Qi, Wen-Wen Wu, Lu Qin, Rui-Xin Zhang, Xi Zhu, Xiao-Ran Zhang, Hui-Jie Lun, Ya-Min Li|2022|J.Solid State Chem.|312|123167|doi:10.1016/j.jssc.2022.123167
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.cc2bfnm2
title: CCDC 2158084: Experimental Crystal Structure Determination

description: Related Article: Xiao Qi, Wen-Wen Wu, Lu Qin, Rui-Xin Zhang, Xi Zhu, Xiao-Ran Zhang, Hui-Jie Lun, Ya-Min Li|2022|J.Solid State Chem.|312|123167|doi:10.1016/j.jssc.2022.123167
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.cc2bjd8k
title: CCDC 2160708: Experimental Crystal Structure Determination

description: Related Article: Chenhao Yao, Brice Kauffmann, Ivan Huc, Yann Ferrand|2022|Chem.Commun.|58|5789|doi:10.1039/D2CC01696F
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.cc2bk648
title: CCDC 2161479: Experimental Crystal Structure Determination

description: Related Article: Chenhao Yao, Brice Kauffmann, Ivan Huc, Yann Ferrand|2022|Chem.Commun.|58|5789|doi:10.1039/D2CC01696F
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.cc2c53pc
title: CCDC 2179662: Experimental Crystal Structure Determination

description: Related Article: Hao-Jie Gao, Yu-Hang Miao, Shi-Kun Jia, Na Li, Li-Ping Xu, Wei Wang, Min-Can Wang, Guang-Jian Mei|2022|Green Synth. Cat.|4|67|doi:10.1016/j.gresc.2022.09.001
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.cc2cl0zz
title: CCDC 2192071: Experimental Crystal Structure Determination

description: Related Article: Rashmi Sharma, Amal Vijay, Sandip Chattopadhayay, Arnab Mukhree* and Pinaki Talukdar*|2022|CSD Communication|||
description: Related Article: Rashmi Sharma, Amal Vijay, Sandip Chattopadhayay, Arnab Mukherjee, Pinaki Talukdar|2023|Chem.Commun.|59|3602|doi:10.1039/D2CC05155A
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.cc2d2flj
title: CCDC 2206877: Experimental Crystal Structure Determination

description: Related Article: Hongdao Li, Chaoyi Jin, Jing Han, Lu Xi, Xiaofeng Han|2023|J.Mol.Struct.|1283|135284|doi:10.1016/j.molstruc.2023.135284
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: 10.5519/qd.hlltkcyo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.7931/ervd-xs26
title: National floral resource predictions
DOI: 10.18434/mds2-2596
title: Dataset for optical coherence tomography for label-free cell viability measurements in 3D tissue engineering scaffolds
DOI: 10.25345/c5w37m54w
title: MassIVE MSV000091521 - Loss of USP10 from the ribosome interactome triggers autophagy-mediated degradation of ribosomes during oncogene-induced senescence
title: Human interactomes for the ribosomal-proteins RPS2 and RPL22 in proliferating and senescent cells determined by co-immunoprecipitation and label-free LC-MS/MS
DOI: 10.6084/m9.figshare.22308547
title: Mapeamento Detalhado WIT - Fatores de Atração, Permanência e Evasão (Santos e Marczak, 2023)

description: Aqui encontram-se os dados completos e detalhados do Mapeamento Sistemático da Literatura realizado dos artigos disponíveis nos Anais do <em>Women in Information Technology</em> (WIT), dos anos de 2016 a 2022. Os dados referem-se aos fatores que motivam a atração, permanência e o abandono de mulheres nas áreas da Computação, objetivo do trabalho submetido ao WIT 2023, elaborado pelas autoras Nayara Dias dos Santos e Sabrina Marczak.
DOI: 10.6084/m9.figshare.22308547.v2
title: Mapeamento Detalhado WIT - Fatores de Atração, Permanência e Evasão (Santos e Marczak, 2023)

description: Aqui encontram-se os dados completos e detalhados do Mapeamento Sistemático da Literatura realizado dos artigos disponíveis nos Anais do <em>Women in Information Technology</em> (WIT), dos anos de 2016 a 2022. Os dados referem-se aos fatores que motivam a atração, permanência e o abandono de mulheres nas áreas da Computação, objetivo do trabalho submetido ao WIT 2023, elaborado pelas autoras Nayara Dias dos Santos e Sabrina Marczak.
DOI: 10.6084/m9.figshare.22308547.v1
title: Mapeamento Detalhado WIT - Fatores de Atração, Permanência e Evasão (Santos e Marczak, 2023)

description: Aqui encontram-se os dados completos e detalhados do Mapeamento Sistemático da Literatura realizado dos artigos disponíveis nos Anais do <em>Women in Information Technology</em> (WIT), dos anos de 2016 a 2022. Os dados referem-se aos fatores que motivam a atração, permanência e o abandono de mulheres nas áreas da Computação, objetivo do trabalho submetido ao WIT 2023, elaborado pelas autoras Nayara Dias dos Santos e Sabrina Marczak.
DOI: 10.3886/icpsr04685.v4
title: Federal Court Cases: Integrated Data Base, 2006
title: Version 4

description: The purpose of this data collection is to provide an official public record of the business of the federal courts. The data originate from district and appellate court offices throughout the United States. Information was obtained at two points in the life of a case: filing and termination. The termination data contain information on both filing and terminations, while the pending data contain only filing information.
description: Datasets: DS0: Study-Level Files DS1: Appellate Terminations Data with Docket Numbers Blanked DS2: Appellate Terminations Data with Docket Numbers Containing Original Values DS3: Civil Terminations Data with Docket Numbers, PLT and DEF Blanked DS4: Civil Terminations Data with Docket Numbers, PLT and DEF Containing Original Values DS5: Criminal Data with Docket Numbers Blanked DS6: Criminal Data with Docket Numbers Containing Original Values
description: All federal court cases in the United States in 2006. Smallest Geographic Unit: county
description: Starting with the year 2001, each year of data for Federal Court Cases is released by ICPSR as a separate study number. Federal Court Cases data for the years 1970-2000 can be found in FEDERAL COURT CASES: INTEGRATED DATA BASE, 1970-2000 (ICPSR 8429).
DOI: 10.5517/ccdc.csd.cc2d2fmk
title: CCDC 2206878: Experimental Crystal Structure Determination

description: Related Article: Hongdao Li, Chaoyi Jin, Jing Han, Lu Xi, Xiaofeng Han|2023|J.Mol.Struct.|1283|135284|doi:10.1016/j.molstruc.2023.135284
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.