cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/9b08bf6ccc867a0c79721d363e6e6c1c
title: SBC LTER: Reef: Annual time series of biomass for kelp forest species, ongoing since 2000 (Reformatted to a Darwin Core Archive)

description: This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/281/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sbc/50/10. The abstract below was extracted from the Level 0 data package and is included for context: These data are annual estimates of biomass of approximately 225 taxa of reef algae, invertebrates and fish in permanent transects at 11 kelp forest sites in the Santa Barbara Channel (2-8 transects per site). Abundance is measured annually (as percent cover or density, by size) and converted to biomass (i.e., wet mass, dry mass, decalcified dry mass, ash free dry mass) using published taxon-specific algorithms. Data collection began in summer 2000 and continues annually in summer to provide information on community structure, population dynamics and species change. The time period of data collection varied among the 11 kelp forest sites. Sampling at BULL, CARP, and NAPL began in 2000, sampling at the other 6 mainland sites (AHND, AQUE, IVEE, GOLB, ABUR, MOHK) began in 2001 (transects 3, 5, 6, 7, 8 at IVEE were added in 2011). Data collection at the two Santa Cruz Island sites (SCTW and SCDI) began in 2004. See Methods for more information. See Methods for more information. The primary research objective of the Santa Barbara Coastal LTER is to investigate the importance of land and ocean processes in structuring giant kelp (Macrocystis pyrifera ) forest ecosystems. As in many temperate regions, the shallow rocky reefs in the Santa Barbara Channel, California, are dominated by giant kelp forests. Because of their close proximity to shore, kelp forests are influenced by physical and biological processes occurring on land as well as in the open ocean. SBC LTER research focuses on measuring and modeling the patterns, transport, and processing of material constituents (e.g., nutrients, carbon, sediment, organisms, and pollutants) from terrestrial watersheds and the coastal ocean to these reefs. Specifically, we are examining the effects of these material inputs on the primary production of kelp, and the population dynamics, community structure, and trophic interactions of kelp forest ecosystems.
DOI: 10.6084/m9.figshare.16746304
title: Reference files for analysis of TE transcription in African Turquoise Killifish

description: README - Transposable Element Differential Expression Analysis Protocol from RNA-seq Data###########################<br>Supplied reference files<br>- Reference genome sequence, predicted RNA sequences and genome annotations (GCA_014300015.1; 2020 genome) These files are publicly available at: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA599375/ GCA_014300015.1_MPIA_NFZ_2.0_genomic.fna GCA_014300015.1_MPIA_NFZ_2.0_genomic.gtf GCA_014300015.1_MPIA_NFZ_2.0_rna_from_genomic.fna<br>- FishTEDB sequences for N. furzeri transposons This file can be obtained at: http://www.fishtedb.org/project/species-detail?species=Nothobranchius+furzeri Nothobranchius_furzeri_FishTEDB_TEs.fa<br>- Modified reference files including TE sequences/annotations for * kallisto/transcriptome based method: GCA_014300015.1_MPIA_NFZ_2.0_rna_from_genomic_WithFishTEDBv4.fasta<br> * STAR/genome based method: GCA_014300015.1_MPIA_NFZ_2.0_genomic_WithFishTEDBv4.fasta GCA_014300015.1_MPIA_NFZ_2.0_genomic_WithFishTEDBv4.gtf<br><br>Related to repository: https://github.com/BenayounLaboratory/Killifish_Transposon_Quantification<br>
DOI: 10.6084/m9.figshare.16746304.v1
title: Reference files for analysis of TE transcription in African Turquoise Killifish

description: README - Transposable Element Differential Expression Analysis Protocol from RNA-seq Data###########################<br>Supplied reference files<br>- Reference genome sequence, predicted RNA sequences and genome annotations (GCA_014300015.1; 2020 genome) These files are publicly available at: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA599375/ GCA_014300015.1_MPIA_NFZ_2.0_genomic.fna GCA_014300015.1_MPIA_NFZ_2.0_genomic.gtf GCA_014300015.1_MPIA_NFZ_2.0_rna_from_genomic.fna<br>- FishTEDB sequences for N. furzeri transposons This file can be obtained at: http://www.fishtedb.org/project/species-detail?species=Nothobranchius+furzeri Nothobranchius_furzeri_FishTEDB_TEs.fa<br>- Modified reference files including TE sequences/annotations for * kallisto/transcriptome based method: GCA_014300015.1_MPIA_NFZ_2.0_rna_from_genomic_WithFishTEDBv4.fasta<br> * STAR/genome based method: GCA_014300015.1_MPIA_NFZ_2.0_genomic_WithFishTEDBv4.fasta GCA_014300015.1_MPIA_NFZ_2.0_genomic_WithFishTEDBv4.gtf<br><br>Related to repository: https://github.com/BenayounLaboratory/Killifish_Transposon_Quantification<br>
DOI: 10.15131/shef.data.15135201
title: Raw Stomatal Resistance Data (Estimating Evapotranspiration from Commonly Occurring Urban Plant Species Using Porometry and Canopy Stomatal Conductance, Askari et al., 2021)

description: This dataset contains the raw stomatal resistance readings used in the 2021 water journal paper; Estimating Evapotranspiration from Commonly Occurring Urban Plant Species Using Porometry and Canopy Stomatal Conductance (Askari et al.).<br>Stomatal resistance is measured from the leaves of plants using a handheld porometer device. Stomatal resistance provides information about the rate of water vapour transfer out of a leaves stomata (pores). In the referenced paper, stomatal resistance readings are used to infer rates of evapotranspiration from garden plants.The data describes stomatal resistance measured from three different plant types, (Sedum Spectabile, Bergenia Cordifolia and Primula Vulgaris) taken from nine different hourly measurement periods over the course of three days.Leaf area index of each plants leaf type is also included in the data; this is needed to calculate evapotranspiration - the use of it is explained in the referenced paper.
DOI: 10.15131/shef.data.15135201.v1
title: Raw Stomatal Resistance Data (Estimating Evapotranspiration from Commonly Occurring Urban Plant Species Using Porometry and Canopy Stomatal Conductance, Askari et al., 2021)

description: This dataset contains the raw stomatal resistance readings used in the 2021 water journal paper; Estimating Evapotranspiration from Commonly Occurring Urban Plant Species Using Porometry and Canopy Stomatal Conductance (Askari et al.).<br>Stomatal resistance is measured from the leaves of plants using a handheld porometer device. Stomatal resistance provides information about the rate of water vapour transfer out of a leaves stomata (pores). In the referenced paper, stomatal resistance readings are used to infer rates of evapotranspiration from garden plants.The data describes stomatal resistance measured from three different plant types, (Sedum Spectabile, Bergenia Cordifolia and Primula Vulgaris) taken from nine different hourly measurement periods over the course of three days.Leaf area index of each plants leaf type is also included in the data; this is needed to calculate evapotranspiration - the use of it is explained in the referenced paper.
DOI: 10.25919/ce99-cv41
title: Spatio-Temporal Posterior Simulations of Sediment Load from the Upper Burdekin Catchment (1988-2008)

description: This data collection is the posterior simulation output from the Bayesian Hierarchical Model developed by Gladish et al. (2016) which quantifies sediment load in the Upper Burdekin Catchment through space and time. The data includes all simulated parameters and associated scaling values for each catchment site, as outlined by Gladish et al. (2016).
DOI: 10.6073/pasta/ec1ace656421e55c6a542d7ad626f6c4
title: A search index for the ecocomDP R package

description: This data package contains summary information of datasets in the ecocomDP format published by EDI and NEON. This summary information is formatted in a search index used by the search function of the ecocomDP R package.
DOI: 10.6084/m9.figshare.16744453
title: CaO_e90-e135.7z

description: Abundance and distribution of oxide abundances and Mg# values generated from KAGUYA multiband imager (MI) spectra<br>
DOI: 10.5066/p9mjrmsq
title: Repeat microgravity data from the Hualapai Valley, Mohave County, Arizona, 2008-2019

description: This dataset contains absolute-gravity measurements made using an A-10 absolute gravity meter (Micro-g Lacoste, Inc.) in 2008, 2009, 2017, 2018, and 2019 in the Hualapai Valley, Mohave County, Arizona. Measurements were made at 9 different stations. Data are presented in tabular form, including relevant parameters used for processing. Data were output by g software (Micro-g Lacoste, Inc.) version 9.12.04.23. A correction for laser-frequency drift was applied to data collected in 2009 and 2017 to account for changes in laser wavelength during these periods. The correction is based on linear interpolation in time between regular calibrations of the HeNe laser used in the A-10 against an iodine-stabilized laser. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
DOI: 10.5517/ccdc.csd.cc2859kb
title: CCDC 2090471: Experimental Crystal Structure Determination

description: Related Article: Charis roberach|2021|CSD Communication|||
description: Related Article: Charis Amber Roberts, Bohyun Park, Li-Ping Xu, Jose B. Roque, Charles S. Yeung, Djamaladdin G. Musaev, Richmond Sarpong, Rebecca Lyn LaLonde|2021|J.Org.Chem.|86|12436|doi:10.1021/acs.joc.1c01466
DOI: 10.5517/ccdc.csd.cc2859lc
title: CCDC 2090472: Experimental Crystal Structure Determination

description: Related Article: Charis roberach|2021|CSD Communication|||
description: Related Article: Charis Amber Roberts, Bohyun Park, Li-Ping Xu, Jose B. Roque, Charles S. Yeung, Djamaladdin G. Musaev, Richmond Sarpong, Rebecca Lyn LaLonde|2021|J.Org.Chem.|86|12436|doi:10.1021/acs.joc.1c01466
DOI: 10.5517/ccdc.csd.cc2859md
title: CCDC 2090473: Experimental Crystal Structure Determination

description: Related Article: Charis roberach|2021|CSD Communication|||
description: Related Article: Charis Amber Roberts, Bohyun Park, Li-Ping Xu, Jose B. Roque, Charles S. Yeung, Djamaladdin G. Musaev, Richmond Sarpong, Rebecca Lyn LaLonde|2021|J.Org.Chem.|86|12436|doi:10.1021/acs.joc.1c01466
DOI: 10.5517/ccdc.csd.cc285dql
title: CCDC 2090569: Experimental Crystal Structure Determination

description: Related Article: Mira T. Rupp, Daniel Chartrand, Garry S. Hanan, Dirk G. Kurth|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2866wl
title: CCDC 2091349: Experimental Crystal Structure Determination

description: Related Article: Zihao Feng|2021|CSD Communication|||
description: Related Article: Zihao Feng, Canmin Wu, Wei-Ming Liao, Lai-Hon Chung, Jun He|2021|Inorg.Chem.Commun.|131|108791|doi:10.1016/j.inoche.2021.108791
DOI: 10.5517/ccdc.csd.cc2867pf
title: CCDC 2091374: Experimental Crystal Structure Determination

description: Related Article: Nicole Berry, Eric W. Reinheimer, Francis X. Flores|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21qrj2
title: CCDC 1898704: Experimental Crystal Structure Determination

description: Related Article: Sourav Roy, Dipankar Sutradhar, Michael G. B. Drew, Shouvik Chattopadhyay|2021|CrystEngComm|23|6724|doi:10.1039/D1CE00855B
DOI: 10.5517/ccdc.csd.cc2871td
title: CCDC 2092153: Experimental Crystal Structure Determination

description: Related Article: wenyun tan|2021|CSD Communication|||
description: Related Article: Wen-Yun Tan, Yi Lu, Jing-Feng Zhao, Wen Chen, Hongbin Zhang|2021|Org.Lett.|23|6648|doi:10.1021/acs.orglett.1c02188
DOI: 10.5517/ccdc.csd.cc287d53
title: CCDC 2092474: Experimental Crystal Structure Determination

description: Related Article: tang xianjun|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc289jz3
title: CCDC 2094545: Experimental Crystal Structure Determination

description: Related Article: José F. Rodríguez, Anji Zhang, Ramon Arora, Mark Lautens|2021|Org.Lett.|23|7540|doi:10.1021/acs.orglett.1c02750
DOI: 10.5517/ccdc.csd.cc28b13s
title: CCDC 2095014: Experimental Crystal Structure Determination

description: Related Article: Alex A. Fertig, William W. Brennessel, James R. McKone, Ellen M. Matson|2021|J.Am.Chem.Soc.|143|15756|doi:10.1021/jacs.1c07076
DOI: 10.5517/ccdc.csd.cc28drwb
title: CCDC 2097642: Experimental Crystal Structure Determination

description: Related Article: Chenyang Zhao, Wanya Li, Zhonghua Li, Weiguo Hu, Suoqing Zhang, Songgu Wu|2021|CrystEngComm|23|6690|doi:10.1039/D1CE00945A
DOI: 10.5517/ccdc.csd.cc28drxc
title: CCDC 2097643: Experimental Crystal Structure Determination

description: Related Article: Chenyang Zhao, Wanya Li, Zhonghua Li, Weiguo Hu, Suoqing Zhang, Songgu Wu|2021|CrystEngComm|23|6690|doi:10.1039/D1CE00945A
DOI: 10.5517/ccdc.csd.cc27thrb
title: CCDC 2080092: Experimental Crystal Structure Determination

description: Related Article: Sk Amanullah|2021|CSD Communication|||
description: Related Article: Sk Amanullah, Paramita Saha, Abhishek Dey|2021|J.Am.Chem.Soc.|143|13579|doi:10.1021/jacs.1c04392
DOI: 10.5517/ccdc.csd.cc28k7jm
title: CCDC 2101940: Experimental Crystal Structure Determination

description: Related Article: Bingjia Yan, Peter N. Horton, Simon C. Weston, Andrea E. Russell, Martin C. Grossel|2021|CrystEngComm|23|6755|doi:10.1039/D1CE01075A
DOI: 10.5517/ccdc.csd.cc28k7kn
title: CCDC 2101941: Experimental Crystal Structure Determination

description: Related Article: Bingjia Yan, Peter N. Horton, Simon C. Weston, Andrea E. Russell, Martin C. Grossel|2021|CrystEngComm|23|6755|doi:10.1039/D1CE01075A
DOI: 10.17632/2x6vz9r4ym.1
title: Tracing tumor evolution and subtype specification in pancreatic cancer

description: Data represents total raw recording of manually counted number of tdTomato+ (recombined cells) based on immunofluorescence images in islets, ducts, and acinar cell compartment in pancreas after 7 days of tamoxifen treatment in Msi2-CreER; R26-LSL-tdTomato mice (n = 3 independent mice).
DOI: 10.17632/5zp738z82z.2
title: Data of  metagenomic signatures of arecanut rhizosphere soils in Yellow Leaf Disease (YLD) endemic region 

description: Supplementary files describing data pertaining  metagenomic signatures of arecanut rhizosphere soils in YLD endemic region
DOI: 10.17632/jwc6kdbxxt.1
title: Phylogenomics of African radiation of Praomyini (Muridae: Murinae) rodents - data and commands. 

description: Phylogenomic data ("anchored phylogenomics") and commands used for phylogenetic analyses. From: Nicolas et al.: Phylogenomics of African radiation of Praomyini (Muridae: Murinae) rodents: first fully resolved phylogeny, evolutionary history and delimitation of extant genera. Molecular Phylogenetics and Evolution.
DOI: 10.17632/ygy3pnbnxn.1
title: D'Gama et al, 2021

description: Data associated with D'Gama et al, Diversity and Function of Motile Ciliated Cell Types within Ependymal Lineages of the Zebrafish Brain, Cell Reports (2021), https://doi.org/10.1016/j.celrep.2021.109775
DOI: 10.17632/d3y48gmwzv.1
title: PROBABILITY OF EXTREME RAINFALL EVENTS BASED ON DIFFERENT GREENHOUSE GASES EMISSION RATES: A FLEXIBLE NON-LINEAR MODELLING. Dataset and scripts 

description: This database and scripts were used to process climatological data from the NEX-GDDP models for São Paulo for the execution of the doctorate in Tropical and Subtropical Agriculture by Ana Carolina Freitas Xavier.
__________________________________________________
Folders:
NEX-GDDP-SP-HIST: models extracted from a list of better weather stations in São Paulo state (list-lat-long-better.csv) from 1950 to 2005 (historical period). Temporal resolution: daily. 
NEX-GDDP-SP-RCP45: models extracted from a list of better weather stations in São Paulo state (list-lat-long-better.csv) from 2006 to 2100 (RCP 4.5 W m-2).Temporal resolution: daily. 
NEX-GDDP-SP-RCP85: models extracted from a list of better weather stations in São Paulo state (list-lat-long-better.csv) from 2006 to 2100 (RCP 8.5 W m-2). Temporal resolution: daily.
NEX-GDDP source: https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp
Maps: Maps provided by GEV-CDN (block of maxima time series, cumulative probabilities, and values of GEV parameters).
Scripts: scripts were used to process the netcdf files and the GEV-CDN (setup defined and evaluated by Xavier, A. C. F., Blain, G. C., Morais, M. V. B. D., & Sobierajski, G. D. R. (2019). Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV-models. Bragantia, 78(4), 606-621.)
DOI: 10.6084/m9.figshare.16746343.v1
title: 2020 03 19 Field Notes

description: Field notes including image and/or video records.
DOI: 10.6084/m9.figshare.16746343
title: 2020 03 19 Field Notes

description: Field notes including image and/or video records.
DOI: 10.25345/c5f288
title: MassIVE MSV000088192 - Quantitative phosphoproteomics reveals regulatory state dependent efficacy of chemical Cdk1 inhibition and distinct Cdk5 complexes as novel Wee1 substrates
title: Wee1 kinase plays a central role in the eukaryotic cell cycle via its well-known negative regulation of Cdk1 activity at the G2/M transition, preventing progression into mitosis until DNA replication and/or DNA damage repair is complete. Recent genetic evidence in yeast, flies and human cells have suggested additional functions of Wee1 in mitosis and during mitotic exit, respectively. To discover new candidate substrates of Wee1 kinase, we used SILAC-based phosphoproteomics and selective chemical inhibition to quantitatively compare phosphorylation site abundances in the presence and absence of Wee1 activity. Unexpectedly, we uncovered a role for the Wee1-dependent phosphorylation of Cdk1-cyclin B at tyrosine 15 (Y15) in facilitating chemical inhibition of Cdk1-cyclin B by the inhibitor RO3306. Thermal shift stability assays demonstrated greater binding affinity of RO3306 for Y15-phosphorylated Cdk1-cyclin B versus unphosphorylated complex, providing an additional molecular basis for the observed Wee1 inhibitor-based toxicity in human cells. In addition, our experiments identified Cdk5-CABLES and Cdk5-cyclin B as novel substrates of Wee1 during chemically induced exit from mitosis. Collectively, these experiments facilitate a greater understanding of the Wee1-Cdk1 signaling axis and uncover new candidate substrates for Wee1.
DOI: 10.6084/m9.figshare.16746466
title: 2021 01 02 Field Notes

description: Field notes including image and/or video records.
DOI: 10.6084/m9.figshare.16746466.v1
title: 2021 01 02 Field Notes

description: Field notes including image and/or video records.
DOI: 10.25493/33z0-bx
title: Ultrahigh resolution 3D cytoarchitectonic map of the LGB (lam 1-6, CGL, Metathalamus) created by a Deep-Learning assisted workflow

description: This dataset contains automatically created cytoarchitectonic maps of the six distinct layers (LGB-lam1-6) of the lateral geniculate body – LGB (CGL, Metathalamus) in the BigBrain (LGB is equivalent to CGL and can be used as synonyms). Mappings were created using Deep Convolutional Neural networks trained on delineations on every 30th section manually delineated on coronal histological sections of 1 micron resolution. Resulting mappings are available on every section. Maps were transformed to the 3D reconstructed BigBrain space. Individual sections were used to assemble a 3D volume of the area, low quality results were replaced by interpolations between nearest neighboring sections. The volume was then smoothed using an 5³ median filter and largest connected components were identified to remove false positive results. The dataset consists of a HDF5 file containing the volume in RAS dimension ordering (20 micron isotropic resolution, dataset “volume”) and an affine transformation matrix (dataset “affine”). An additional dataset “interpolation_info” contains an integer vector for each section which indicates if a section was interpolated due to low quality results (value 2) or not (value 1).
DOI: 10.6075/j0h41rm1
title: Joel E. Dimsdale, M.D. Holocaust Survivor Interview Collection

description: Interviews of Holocaust survivors conducted in the 1970s by UCSD Distinguished Professor of Psychiatry Emeritus, Regent Edward A. Dickson Emeritus Professor Joel E. Dimsdale, M.D. Professor Dimsdale questioned subjects about coping behavior and stress during their time in Nazi Concentration Camps and Labor Camps during World War II. He asked questions about their health before and after their internment and what actions helped them to survive during a time of extreme stress. The collection also includes a 1971 lecture given by Viktor Frankl.
DOI: 10.5281/zenodo.5548527
title: Model data in support of the E3SMv1-Arctic-OSI GMD manuscript (2021)

description: This data set contains the time series and climatological fields that were computed from the E3SMv1 Arctic-OSI and LR-OSI simulations that are described in a manuscript submitted for review to GMD in October 2021.
DOI: 10.5517/ccdc.csd.cc28k7lp
title: CCDC 2101942: Experimental Crystal Structure Determination

description: Related Article: Bingjia Yan, Peter N. Horton, Simon C. Weston, Andrea E. Russell, Martin C. Grossel|2021|CrystEngComm|23|6755|doi:10.1039/D1CE01075A
DOI: 10.5517/ccdc.csd.cc28k7mq
title: CCDC 2101943: Experimental Crystal Structure Determination

description: Related Article: Bingjia Yan, Peter N. Horton, Simon C. Weston, Andrea E. Russell, Martin C. Grossel|2021|CrystEngComm|23|6755|doi:10.1039/D1CE01075A
DOI: 10.5517/ccdc.csd.cc28k7nr
title: CCDC 2101944: Experimental Crystal Structure Determination

description: Related Article: Bingjia Yan, Peter N. Horton, Simon C. Weston, Andrea E. Russell, Martin C. Grossel|2021|CrystEngComm|23|6755|doi:10.1039/D1CE01075A
DOI: 10.5517/ccdc.csd.cc28ky1v
title: CCDC 2102607: Experimental Crystal Structure Determination

description: Related Article: Sudip Laru, Suvam Bhattacharjee, Sumit Ghosh, Alakananda Hajra|2021|Org.Lett.|23|7624|doi:10.1021/acs.orglett.1c02837
DOI: 10.5517/ccdc.csd.cc28lvmc
title: CCDC 2103493: Experimental Crystal Structure Determination

description: Related Article: Danqing Zheng, Kalipada Jana, Fatmah Ali Alasmary, Constantin G. Daniliuc, Armido Studer|2021|Org.Lett.|23|7688|doi:10.1021/acs.orglett.1c03024
DOI: 10.5517/ccdc.csd.cc279lsy
title: CCDC 2064810: Experimental Crystal Structure Determination

description: Related Article: Sicheng Liao, Tianlin Liu, Zhiyu Zhou, Kangcai Wang, Siwei Song, Qinghua Zhang|2021|Dalton Trans.|50|13286|doi:10.1039/D1DT02404C
DOI: 10.5517/ccdc.csd.cc288wp4
title: CCDC 2093916: Experimental Crystal Structure Determination

description: Related Article: Zhen Liu, Xue Zhang, Rong Wan, Huafeng Li, Yumei Hong, Pengtao Ma, Jingyang Niu, Jingping Wang|2021|Chem.Commun.|57|10250|doi:10.1039/D1CC03646G
DOI: 10.5517/ccdc.csd.cc27xk0r
title: CCDC 2083014: Experimental Crystal Structure Determination

description: Related Article: Elizabeth C. Trodden, Matthew P. Delve, Christian Luz, Robert J. Newland, John M. Andresen, Stephen M. Mansell|2021|Dalton Trans.|50|13407|doi:10.1039/D1DT02508B
DOI: 10.5517/ccdc.csd.cc284vny
title: CCDC 2090040: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Liu|2021|CSD Communication|||
description: Related Article: Xiaoyu Liu, Kun He, Na Gao, Peiyun Jiang, Jun Lin, Yi Jin|2021|Chem.Commun.|57|9696|doi:10.1039/D1CC03853B
DOI: 10.5517/ccdc.csd.cc27wxxz
title: CCDC 2082422: Experimental Crystal Structure Determination

description: Related Article: Subhendu Ghosh, Tamanna Khandelia, Bhisma K. Patel|2021|Org.Lett.|23|7370|doi:10.1021/acs.orglett.1c02536
DOI: 10.5517/ccdc.csd.cc27jckq
title: CCDC 2071313: Experimental Crystal Structure Determination

description: Related Article: Jie Chi, Yajun Mu, Yan Li, Pengpeng Shao, Guocheng Liu, Bin Cai, Na Xu, Yongqiang Chen|2021|RSC Advances|11|31756|doi:10.1039/D1RA04411G