cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13067630.v1
title: Data from Benedict et al. 2020 Human presence outweighs non-anthropogenic factors as a driver of avian nest parasite loads, Journal of Ornithology

description: Abstract: Human presence and landscape change can alter many aspects of ecological communities and can interact with natural factors to change host-parasite dynamics. In the study reported here we tested whether an anthropogenic factor, urbanization, affected the abundance and size of hematophagous ectoparasites (Swallow Bugs: <i>Oeciacus vicarius</i>) found in the nests of Cliff Swallows (<i>Petrochelidon pyrrhonota</i>). We also examined how Swallow Bug infestations might be affected by multiple non-anthropogenic biotic and abiotic factors, including season, nest mass, nest colony size, the history of colony occupation, and the presence of other parasitic and non-parasitic arthropods in Cliff Swallow nests. Our sample included 73 nests collected from 18 Cliff Swallow colonies in Northern Colorado, USA. Results indicated that Swallow Bug loads were most strongly predicted by human land use and density, with urban colonies having much heavier infestations than rural colonies. Swallow Bugs were more numerous in colonies that were known to have been recently occupied by Cliff Swallows, and in nests that contained high numbers of other parasitic arthropods, including fleas and ticks. Swallow Bug population size did not vary with season, nest mass, or nest colony size, and none of our measured factors predicted Swallow Bug body length. Results suggest that cities may exacerbate harmful effects of avian ectoparasites by promoting large population sizes, and that these effects may be compounded by the presence of multiple parasitic species in heavily infested nests. <br>Data: Excel file including two tabs. One contains data on nest characteristics, the other contains swallow bug measurements.
DOI: 10.5517/ccdc.csd.cc20vc7h
title: CCDC 1872376: Experimental Crystal Structure Determination

description: Related Article: Suhyun Park, Jaegyeong Lee, Hyosun Lee, Ah Rim Jeong, Kil Sik Min, Saira Nayab|2019|Appl.Organomet.Chem.|33|e4766|doi:10.1002/aoc.4766
DOI: 10.5517/ccdc.csd.cc20vc8j
title: CCDC 1872377: Experimental Crystal Structure Determination

description: Related Article: Suhyun Park, Jaegyeong Lee, Hyosun Lee, Ah Rim Jeong, Kil Sik Min, Saira Nayab|2019|Appl.Organomet.Chem.|33|e4766|doi:10.1002/aoc.4766
DOI: 10.5517/ccdc.csd.cc20vc9k
title: CCDC 1872378: Experimental Crystal Structure Determination

description: Related Article: Suhyun Park, Jaegyeong Lee, Hyosun Lee, Ah Rim Jeong, Kil Sik Min, Saira Nayab|2019|Appl.Organomet.Chem.|33|e4766|doi:10.1002/aoc.4766
DOI: 10.5517/ccdc.csd.cc20ttk7
title: CCDC 1871859: Experimental Crystal Structure Determination

description: Related Article: Suhyun Park, Jungkyu K. Lee, Hyosun Lee, Saira Nayab, Jong Won Shin|2019|Appl.Organomet.Chem.|33|e4797|doi:10.1002/aoc.4797
DOI: 10.5517/ccdc.csd.cc20ttl8
title: CCDC 1871860: Experimental Crystal Structure Determination

description: Related Article: Suhyun Park, Jungkyu K. Lee, Hyosun Lee, Saira Nayab, Jong Won Shin|2019|Appl.Organomet.Chem.|33|e4797|doi:10.1002/aoc.4797
DOI: 10.5517/ccdc.csd.cc217q12
title: CCDC 1884243: Experimental Crystal Structure Determination

description: Related Article: Siyabonga Zulu, Mohd.G. Alam, Stephen O. Ojwach, Matthew P. Akerman|2019|Appl.Organomet.Chem.|33|e5175|doi:10.1002/aoc.5175
DOI: 10.5517/ccdc.csd.cc21cftp
title: CCDC 1887832: Experimental Crystal Structure Determination

description: Related Article: Majid Rezaeivala, Musa Ahmadi, Burjor Captain, Serap Şahin‐Bölükbaşı, Ahmad Ali Dehghani‐Firouzabadi, Robert William Gable|2020|Appl.Organomet.Chem.|34|e5325|doi:10.1002/aoc.5325
DOI: 10.5517/ccdc.csd.cc21cfvq
title: CCDC 1887833: Experimental Crystal Structure Determination

description: Related Article: Majid Rezaeivala, Musa Ahmadi, Burjor Captain, Serap Şahin‐Bölükbaşı, Ahmad Ali Dehghani‐Firouzabadi, Robert William Gable|2020|Appl.Organomet.Chem.|34|e5325|doi:10.1002/aoc.5325
DOI: 10.5517/ccdc.csd.cc21cfwr
title: CCDC 1887834: Experimental Crystal Structure Determination

description: Related Article: Majid Rezaeivala, Musa Ahmadi, Burjor Captain, Serap Şahin‐Bölükbaşı, Ahmad Ali Dehghani‐Firouzabadi, Robert William Gable|2020|Appl.Organomet.Chem.|34|e5325|doi:10.1002/aoc.5325
DOI: 10.5517/ccdc.csd.cc21hg01
title: CCDC 1891682: Experimental Crystal Structure Determination

description: Related Article: Li Yong|2019|CSD Communication|||
description: Related Article: Gui‐Ting Song,  Chuan‐Hua Qu,  Jie Lei,  Wei Yan,  Dian‐Yong Tang,  Hong‐yu Li,  Zhong‐Zhu Chen,  Zhi‐Gang Xu|2020|Adv.Synth.Catal.|362|4084|doi:10.1002/adsc.202000736
DOI: 10.5517/ccdc.csd.cc21zhzj
title: CCDC 1906158: Experimental Crystal Structure Determination

description: Related Article: Kazuhide Nakahara, Koki Yamaguchi, Hisao Kansui|2020|Heterocycles|100|1463|doi:10.3987/COM-20-14297
DOI: 10.5517/ccdc.csd.cc22fnhp
title: CCDC 1919752: Experimental Crystal Structure Determination

description: Related Article: Bo Ni, Hongzhi Cao, Chengkai Zhang, Shengli Li, Qiong Zhang, Xiaohe Tian, Dandan Li, Jieying Wu, Yupeng Tian|2020|Inorg.Chem.|59|13671|doi:10.1021/acs.inorgchem.0c02030
DOI: 10.17632/r5tfvj35p3.13
title: Data for: Adolescent Aggression and Violent Video Games: The role of moral disengagement and parental rearing patterns

description: Data for: Adolescent Aggression and Violent Video Games: The role of moral disengagement and parental rearing patterns boys=1, girls=2.
DOI: 10.17632/cdnfpvs43g.1
title: Data for: Key factors controlling the superposition of Sn-(W) and Cu-Mo mineralization: Examples from the heterogeneous Jurassic and Cretaceous mineralization in the coastal region of southeastern China

description: The datasets include six tables. Table S1. Zircon U-Pb Isotopic Compositions of the ZJS Granite, Luoboling Granodiorite Porphyry, and Gutian Intrusions. Table S2. Compositions of Representative Zircons from ZJS Granite, Luoboling Granodiorite Porphyry and Gutian Intrusions. Table S3. Re-Os Isotopic Composition of Molybdenite from Gutian Porphyry Mo-Cu Deposit. Table S4. Bulk Rock Major and Trace Element Composition of the Luoboling Granodiorite Porphyry, Zijinshan Granite Complex, and Gutian Intrusions. Table S5. Bulk Rock Sr-Nd Isotopic Composition of the Cretaceous Luoboling Porphyry, Jurassic Zijinshan Granite Complex, and Gutian Intrusions. Table S6. Zircon Hf Isotopic Compositions of Luoboling Granodiorite Porphyry and Gutian Granodiorite Porphyry.
DOI: 10.17632/3dt22hv8xr.1
title: Data for: Physical Design of Cryogenic Delta-Knot Undulator for HEPS

description: RADIA models
DOI: 10.17632/d53fwzfskk.1
title: Data for: The Dataset on the Characteristics of the Intracerebral Hemorrhage Patients Treated by Endoscopic Hematoma Removal or Craniotomy

description: These data present the characteristics of 148 intracerebral hemorrhage (ICH) patients surgically treated. We retrospectively collected data from the medical records of Suwa Red Cross Hospital, including neurological and physiological symptoms, laboratory data, radiological data on admission, complication rate, Glasgow Coma Scale scores on admission or postoperative day 7, and modified Rankin Scale scores at 6 months. Our two articles on the endoscopic hematoma removal and craniotomy for ICH were based on these data[1,2]. This dataset includes detailed laboratory data and radiological features, and it would be useful for reference value for other neurosurgeons or further analysis using artificial intelligence to establish the prediction model.
DOI: 10.6073/pasta/29ee3a4e7a3c1a77a0cbf3fb0a6a1cdb
title: TeRaCON eight years data - species composition, productivity (NPP), soil carbon emissions and plant carbon stocks:BioCON: Biodiversity, CO2, and Nitrogen

description: BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affect each other, and what emergent qualities may arise when systems are exposed to these changes simultaneously. BioCON seeks to address these issues with this multi-year study at Cedar Creek Ecosytem Science Preserve.
DOI: 10.6084/m9.figshare.13042886.v1
title: EPA Adverse Pathway Database (AOP-DB)_version 2_SQL_Entire Database_less Gene interactions Table_Mortensen et al_Nature Scientific Data_Data Structure_File 1

description: The uploaded files contain the entire data frame and associated data for the AOP-DB v.2 (Mortensen et al. Nature Data Descriptor, submitted). This record contains the first of two files: File 1)(“ aopdb_nogi_08-25-2020.sql.tar.gz") which is the whole database, except the gene_interactions table. This is a tar.gz file for all data tables and can be compiled by the user to reconstruct the AOP-DB v2 in their local environment.
DOI: 10.6084/m9.figshare.13067651
title: Supplementary Material for: Coronary Collateral Microcirculation Reserve Becomes Vestigial with Aging

description: <b><i>Introduction:</i></b> Our previous study indicated that coronary collateral microcirculation reserve (CCMR), native collaterals, transports blood flow to an ischemic area to reduce ischemic tissue injury. This study aimed to observe the changes of CCMR in the hearts of different month-old rats. <b><i>Methods:</i></b> We selected 2-, 8-, 16-, and 24-month-old rats as the research objects to monitor the changes of CCMR in rats with aging. After acute myocardial infarction, lectin-FITC was injected into the femoral vein vessels of rats to mark CCMR vessels in the ischemic area. <b><i>Results:</i></b> Results of the lectin-FITC perfusion experiment indicated that the number and collagen IV coverage of CCMR vessels declined with aging. Moreover, data suggested a correlation between endothelial nitric oxide synthase and a decline in the number of CCMR vessels. <b><i>Conclusion:</i></b> Aging causes CCMR decline in rats.
DOI: 10.6084/m9.figshare.13067666
title: Supplementary Material for: The Efficacy of Everolimus for Facial Angiofibromas in Tuberous Sclerosis Complex Patients Treated for Renal Angiomyolipoma/Subependymal Giant Cell Astrocytoma

description: <b><i>Background:</i></b> Facial angiofibromas may be present since early childhood in individuals with tuberous sclerosis complex (TSC), causing substantial cosmetic disfigurement. Current therapies are partially effective, but they are uncomfortable, produce scarring, and are especially expensive. <b><i>Objective:</i></b> The aim of the present study was to evaluate the efficacy of oral everolimus for TSC-associated angiofibromas. <b><i>Methods:</i></b> This retrospective study included TSC patients being treated with oral everolimus for subependymal giant cell astrocytomas (SEGAs) and angiomyolipomas (AMLs). We recorded the changes in facial angiofibromas. Changes in the Angiofibroma Grading Scale (AGS) indicators were recorded according to erythema, average lesion size, lesion density, and percent involvement on the forehead, nose, cheeks, and chin. The scores were recorded before and after the administration of oral everolimus. <b><i>Results:</i></b> Twenty-one patients being treated with oral everolimus were enrolled in this study. The mean age was 20.5 years (range 11–44 years, 4 males, and 17 females). The mean dose of oral everolimus was 3.6 mg/day. Clinically meaningful and statistically significant improvement was observed in erythema (<i>p</i> = 0.001), average lesion size (<i>p</i> &lt; 0.001), lesion density (<i>p</i> &lt; 0.001), and percent involvement (<i>p</i> &lt; 0.001). Changes in the AGS findings were statistically significant on the forehead (<i>p</i> = 0.001), nose (<i>p</i> &lt; 0.001) cheeks (<i>p</i> &lt; 0.001), and chin (<i>p</i> = 0.004). <b><i>Conclusion:</i></b> Everolimus shows evident improvement and is approved for TSC-associated SEGAs and AMLs. The current study demonstrated the efficacy of oral everolimus in reducing facial angiofibromas, showing the parallel benefits of the treatment protocol for TSC.
DOI: 10.6084/m9.figshare.13067666.v1
title: Supplementary Material for: The Efficacy of Everolimus for Facial Angiofibromas in Tuberous Sclerosis Complex Patients Treated for Renal Angiomyolipoma/Subependymal Giant Cell Astrocytoma

description: <b><i>Background:</i></b> Facial angiofibromas may be present since early childhood in individuals with tuberous sclerosis complex (TSC), causing substantial cosmetic disfigurement. Current therapies are partially effective, but they are uncomfortable, produce scarring, and are especially expensive. <b><i>Objective:</i></b> The aim of the present study was to evaluate the efficacy of oral everolimus for TSC-associated angiofibromas. <b><i>Methods:</i></b> This retrospective study included TSC patients being treated with oral everolimus for subependymal giant cell astrocytomas (SEGAs) and angiomyolipomas (AMLs). We recorded the changes in facial angiofibromas. Changes in the Angiofibroma Grading Scale (AGS) indicators were recorded according to erythema, average lesion size, lesion density, and percent involvement on the forehead, nose, cheeks, and chin. The scores were recorded before and after the administration of oral everolimus. <b><i>Results:</i></b> Twenty-one patients being treated with oral everolimus were enrolled in this study. The mean age was 20.5 years (range 11–44 years, 4 males, and 17 females). The mean dose of oral everolimus was 3.6 mg/day. Clinically meaningful and statistically significant improvement was observed in erythema (<i>p</i> = 0.001), average lesion size (<i>p</i> &lt; 0.001), lesion density (<i>p</i> &lt; 0.001), and percent involvement (<i>p</i> &lt; 0.001). Changes in the AGS findings were statistically significant on the forehead (<i>p</i> = 0.001), nose (<i>p</i> &lt; 0.001) cheeks (<i>p</i> &lt; 0.001), and chin (<i>p</i> = 0.004). <b><i>Conclusion:</i></b> Everolimus shows evident improvement and is approved for TSC-associated SEGAs and AMLs. The current study demonstrated the efficacy of oral everolimus in reducing facial angiofibromas, showing the parallel benefits of the treatment protocol for TSC.
DOI: 10.6084/m9.figshare.12869267.v4
title: abc

description: abcdefg
DOI: 10.6084/m9.figshare.12869267.v3
title: Minle Loess Proxies

description: Minle loess deposit to reflect late Pleistocene climate change in Asian monsoon margin
DOI: 10.5281/zenodo.4059817
title: Nanoscale Crystal Grain Characterization via Linear Polarization X-ray Ptychography: Raw data

description: File Description: energy_rot1.dat, energy_rot2.dat List of energies that were taken in the spectroscopy scans of two sample orientations. Unit is KeV. P5_rot1_amp.tif, P5_rot2_amp.tif: Tiff stacks of absorption images of the sample scanned across Vanadium K-edge at two perpendicular orientations relative to beam polarization. Pixel values are in range of [0,20000], which equal [Normalized transmission]*20000. P5_rot1_phase.tif, P5_rot2_phase.tif: Tiff stacks of phase images of the sample scanned across Vanadium K-edge at two perpendicular orientations relative to beam polarization. Pixel values equal [Real part of refractive index(Delta)]*[Factor]*10000, the factor is given in separate files. delta_factor_rot1.dat, delta_factor_rot2.dat List of factors to calculate delta values from phase images for each energy. The factor has no unit.
DOI: 10.5281/zenodo.4059816
title: Nanoscale Crystal Grain Characterization via Linear Polarization X-ray Ptychography: Raw data

description: File Description: energy_rot1.dat, energy_rot2.dat List of energies that were taken in the spectroscopy scans of two sample orientations. Unit is KeV. P5_rot1_amp.tif, P5_rot2_amp.tif: Tiff stacks of absorption images of the sample scanned across Vanadium K-edge at two perpendicular orientations relative to beam polarization. Pixel values are in range of [0,20000], which equal [Normalized transmission]*20000. P5_rot1_phase.tif, P5_rot2_phase.tif: Tiff stacks of phase images of the sample scanned across Vanadium K-edge at two perpendicular orientations relative to beam polarization. Pixel values equal [Real part of refractive index(Delta)]*[Factor]*10000, the factor is given in separate files. delta_factor_rot1.dat, delta_factor_rot2.dat List of factors to calculate delta values from phase images for each energy. The factor has no unit.
DOI: 10.6084/m9.figshare.12869267
title: abc

description: abcdefg
DOI: 10.17632/6hk87ww9hp.1
title: Data for: Incompatibility of argon during magma ocean crystallization
DOI: 10.7284/136807
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PE20-07 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.4073369
title: Ionic Homeostasis, Acid-Base Balance and the Risk of Citrate Accumulation in Patients After Cardiovascular Surgery Treated with Continuous Veno-venous Haemofiltration with Post-Dilution Regional Citrate Anticoagulation.

description: Data sets analyzed and described in the paper: "Ionic Homeostasis, Acid-Base Balance and the Risk of Citrate Accumulation in Patients After Cardiovascular Surgery Treated with Continuous Veno-venous Haemofiltration with Post-Dilution Regional Citrate Anticoagulation."
DOI: 10.5281/zenodo.4073368
title: Ionic Homeostasis, Acid-Base Balance and the Risk of Citrate Accumulation in Patients After Cardiovascular Surgery Treated with Continuous Veno-venous Haemofiltration with Post-Dilution Regional Citrate Anticoagulation.

description: Data sets analyzed and described in the paper: "Ionic Homeostasis, Acid-Base Balance and the Risk of Citrate Accumulation in Patients After Cardiovascular Surgery Treated with Continuous Veno-venous Haemofiltration with Post-Dilution Regional Citrate Anticoagulation."
DOI: 10.7284/136789
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PE20-06 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34740/kaggle/dsv/1545851
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccdc.csd.cc13c1tb
title: CCDC 1023521: Experimental Crystal Structure Determination

description: Related Article: Pierre-Louis M. Brunner, Daniel Beaudoin, Alice Heskia, Thierry Maris, Marc-André Dubois, James D. Wuest|2020|Can.J.Chem.|98|564|doi:10.1139/cjc-2020-0081
DOI: 10.5517/ccdc.csd.cc13c1vc
title: CCDC 1023522: Experimental Crystal Structure Determination

description: Related Article: Pierre-Louis M. Brunner, Daniel Beaudoin, Alice Heskia, Thierry Maris, Marc-André Dubois, James D. Wuest|2020|Can.J.Chem.|98|564|doi:10.1139/cjc-2020-0081
DOI: 10.5517/ccdc.csd.cc1ld347
title: CCDC 1471388: Experimental Crystal Structure Determination

description: Related Article: Lei Wang, Zixuan Yang, Tianyu Ni, Wencai Shi, Yunbo Guo, Keliang Li, Anzhe Shi, Shanchao Wu, Chunquan Sheng|2020|Bioorg.Med.Chem.Lett.|30|126662|doi:10.1016/j.bmcl.2019.126662
DOI: 10.5517/ccdc.csd.cc1n2r1j
title: CCDC 1521977: Experimental Crystal Structure Determination

description: Related Article: Yong Guo, Jiangping Fan, Qian Zhang, Chongnan Bao, Zhiyan Liu, Ruige Yang|2019|Bioorg.Med.Chem.Lett.|29|179|doi:10.1016/j.bmcl.2018.12.002
DOI: 10.5517/ccdc.csd.cc1n2r2k
title: CCDC 1521978: Experimental Crystal Structure Determination

description: Related Article: Yong Guo, Jiangping Fan, Qian Zhang, Chongnan Bao, Zhiyan Liu, Ruige Yang|2019|Bioorg.Med.Chem.Lett.|29|179|doi:10.1016/j.bmcl.2018.12.002
DOI: 10.5517/ccdc.csd.cc1n2r3l
title: CCDC 1521979: Experimental Crystal Structure Determination

description: Related Article: Yong Guo, Jiangping Fan, Qian Zhang, Chongnan Bao, Zhiyan Liu, Ruige Yang|2019|Bioorg.Med.Chem.Lett.|29|179|doi:10.1016/j.bmcl.2018.12.002
DOI: 10.5517/ccdc.csd.cc1nstw4
title: CCDC 1543207: Experimental Crystal Structure Determination

description: Related Article: Tingting Yuan, Chao Pi, Chang You, Xiuling Cui, Sidong Du, Ting Wan, Yangjie Wu|2019|Chem.Commun.|55|163|doi:10.1039/C8CC08081J
DOI: 10.5517/ccdc.csd.cc1nxp9k
title: CCDC 1546909: Experimental Crystal Structure Determination

description: Related Article: Hanan Alwaseem, Benjamin J. Frisch, Rudi Fasan|2018|Bioorg.Med.Chem.|26|1365|doi:10.1016/j.bmc.2017.08.009
DOI: 10.5517/ccdc.csd.cc1p2mv7
title: CCDC 1551669: Experimental Crystal Structure Determination

description: Related Article: Wei-Yang Zhang, Xiao-Lin Feng, Dan Lu, Hao Gao, Yang Yu, Xin-Sheng Yao|2018|Bioorg.Med.Chem.Lett.|28|814|doi:10.1016/j.bmcl.2017.08.015
DOI: 10.5517/ccdc.csd.cc1q78ks
title: CCDC 1585915: Experimental Crystal Structure Determination

description: Related Article: Jinjiang Xu, Shensheng Zheng, Shiliang Huang, Yong Tian, Yu Liu, Haobin Zhang, Jie Sun|2019|Chem.Commun.|55|909|doi:10.1039/C8CC07347C
DOI: 10.5517/ccdc.csd.cc1q78jr
title: CCDC 1585914: Experimental Crystal Structure Determination

description: Related Article: Jinjiang Xu, Shensheng Zheng, Shiliang Huang, Yong Tian, Yu Liu, Haobin Zhang, Jie Sun|2019|Chem.Commun.|55|909|doi:10.1039/C8CC07347C
DOI: 10.5517/ccdc.csd.cc1zdkzx
title: CCDC 1829340: Experimental Crystal Structure Determination

description: Related Article: Aysun Çapcı Karagöz, Maria Leidenberger, Friedrich Hahn, Frank Hampel, Oliver Friedrich, Manfred Marschall, Barbara Kappes, Svetlana B. Tsogoeva|2019|Bioorg.Med.Chem.|27|110|doi:10.1016/j.bmc.2018.11.018
DOI: 10.5517/ccdc.csd.cc1zkwkz
title: CCDC 1834442: Experimental Crystal Structure Determination

description: Related Article: Xiaoqiang Tong, Chaojie Jing, Zhaojun Dong, Na Zhang, Lijun Bi, Yanyan Wang, Hua Cai, Dongmin An, Xiaoxue Lian, Qiong Wang, Qingjun Zhou, Ying Guo, Yan Yan, Wenfu Yan|2019|Chem.Commun.|55|226|doi:10.1039/C8CC07161F
DOI: 10.5517/ccdc.csd.cc1znt7p
title: CCDC 1837253: Experimental Crystal Structure Determination

description: Related Article: Saira Qurban, Yu Du, Jun Gong, Shao-Xia Lin, Qiang Kang|2019|Chem.Commun.|55|249|doi:10.1039/C8CC08275H
DOI: 10.5517/ccdc.csd.cc200htc
title: CCDC 1847532: Experimental Crystal Structure Determination

description: Related Article: Fang Yang, Cai-Ping He, Peng-Cheng Diao, Kwon Ho Hong, Jin-Jun Rao, Pei-Liang Zhao|2019|Bioorg.Med.Chem.Lett.|29|22|doi:10.1016/j.bmcl.2018.11.024