cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2017.1390
title: การประเมินผลของชั้นดินบริเวณที่ตั้งต่อแผ่นดินไหวและการพัฒนาความเร่งตอบสนองเชิงสเปกตรัมสำหรับออกแบบในพื้นที่แอ่งกรุงเทพฯ

description: ดุษฎีนิพนธ์ฉบับนี้เป็นการศึกษาผลของชั้นดินบริเวณที่ตั้งต่อแผ่นดินไหวในพื้นที่แอ่งกรุงเทพฯ ซึ่งมุ่งเน้นการศึกษาโครงสร้างชั้นดินระดับลึกสำหรับการสร้างความเร่งตอบสนองเชิงสเปกตรัมที่เหมาะสำหรับการออกแบบโครงสร้าง โดยในส่วนแรกคือการศึกษาคุณลักษณะของชั้นดินด้วยเทคนิคการตรวจวัดการสั่นสะเทือนขนาดเล็กบนผิวดิน (Microtremor Observation) เพื่อสำรวจค่าคาบอิทธิพลหลัก (Predominant Period,TP) และความเร็วคลื่นเฉือนตามความลึก (Shear Wave Velocity Profile) จากผิวดินถึงระดับชั้นหิน โดยมีตำแหน่งการสำรวจ 170 ตำแหน่ง กระจายตัวอย่างสม่ำเสมอครอบคลุมพื้นที่แอ่งกรุงเทพฯ วิธีการสำรวจและวิเคราะห์ผลประกอบด้วย วิธี Horizontal-to-Vertical Spectral Ratio (H/V) สำหรับการประเมินค่าคาบอิทธิพลหลัก วิธี Spatial Autocorrelation (SPAC) และวิธี Centerless Circular Array (CCA) ใช้สำหรับการวิเคราะห์ค่าความเร็วเฟส (Phase Velocity) เพื่อการคำนวณความเร็วคลื่นเฉือนตามความลึกด้วยการคำนวณย้อนกลับ ผลการศึกษาพบว่า บริเวณพื้นที่ใกล้อ่าวไทยและพื้นที่ฝั่งตะวันออกเฉียงใต้มีค่าเฉลี่ยความเร็วคลื่นเฉือนสำหรับ 30 เมตรแรก (VS30) ต่ำมาก ประมาณ 97 เมตรต่อวินาที และมีค่าคาบอิทธิพลหลักยาวประมาณ 1.2 วินาที ในขณะที่ค่า VS30 สูงกว่า 900 เมตรต่อวินาทีและค่า TP สั้นกว่า 0.2 วินาที อยู่ในพื้นที่ขอบของแอ่งกรุงเทพฯ ซึ่งโดยทั่วไปแล้วค่าความเร็วคลื่นเฉือนในช่วง 100 เมตรแรก มีค่าต่ำกว่า 500 เมตรต่อวินาที และมีค่าเพิ่มขึ้นตามความลึก โดยที่ชั้นดินที่แข็งขึ้นมีค่าประมาณ 1000 เมตรต่อวินาที สำหรับระดับความลึกของชั้นหินสามารถประเมินได้จากระดับที่มีความแตกต่างกันของความเร็วคลื่นเฉือนอย่างชัดเจน ซึ่งความเร็วที่ระดับชั้นหินโดยทั่วไปมีค่าประมาณ 2000 เมตรต่อวินาทีหรือมากกว่า ความลึกของชั้นหินมีค่าแตกต่างกันโดยมีค่าต่ำกว่า 70 เมตร ในพื้นที่ขอบแอ่ง และมีความลึกถึง 900 เมตรในพื้นที่ส่วนกลางของแอ่งกรุงเทพฯส่วนที่สองของการศึกษาคือการวิเคราะห์ผลตอบสนองของชั้นดินเพื่อใช้สำหรับการแบ่งเขตแผ่นดินไหวแบบโซนย่อยที่สอดคล้องกัน โดยคลื่นแผ่นดินไหวที่ใช้พิจารณามาจากการประเมินความเสี่ยงภัยแผ่นดินไหวที่เป็นไปได้สำหรับแอ่งกรุงเทพฯ ซึ่งเป็นค่าความเร่งในรูปแบบของประวัติเวลา (Acceleration Time History) ที่ชั้นหินโผล่ (Rock Outcrop) โดยศึกษาการแพร่กระจายของคลื่นผ่านแบบจำลองชั้นดินด้วยการวิเคราะห์แบบเชิงเส้นเทียบเท่า (Equivalent Linear Analysis) สำหรับคลื่นแผ่นดินไหวที่ใช้สำหรับป้อนเข้าสู่แบบจำลองชั้นดินถูกเลือกมาจากฐานข้อมูลแผ่นดินไหวและทำการปรับสเกลเพื่อให้ค่าสเปกตรัมผลตอบสนองสอดคล้องกับ Conditional Mean Spectrum (CMS) ที่คาบการสั่น 0.2, 0.5, 1.0, 2.0, และ 3.0 วินาที โดยมีคาบการเกิดซ้ำที่ 2475 ปี จากนั้น ค่าเฉลี่ยของความเร่งเชิงสเปกตรัมถูกนำมาใช้เป็นสเปกตรัมสำหรับออกแบบซึ่งเป็นค่าสูงสุดของแผ่นดินไหวที่คาดว่าจะเกิดขึ้น Maximum Credible Earthquake (MCE) สำหรับแต่ละตำแหน่งการศึกษา จากผลการศึกษาของค่าความเร็วคลื่นเฉือนและสเปกตรัมความเร่งถูกนำมาใช้พิจารณาตามความคล้ายกันของรูปร่างและพื้นที่ที่อยู่ใกล้เคียงกัน ซึ่งทำให้สามารถแบ่งพื้นที่ออกเป็นโซนย่อยจำนวน 10 โซน โดยค่าสเปกตรัมความเร่งสำหรับแต่ละโซนที่เสนอในการศึกษานี้มีความแตกต่างจากค่าในมาตรฐานการออกแบบในปัจจุบันสำหรับบางพื้นที่ เนื่องจากคุณลักษณะของชั้นดินที่ได้จากการศึกษาใหม่นี้
DOI: 10.17632/jgrpxgbxxd.1
title: Data for: Quantifying increased groundwater demand from prolonged drought in the East African Rift Valley

description: Rainfall and borehole use data used in this paper.
DOI: 10.17632/rhw48z8vv4.1
title: Supporting Information: Abaqus Python scripts

description: Abaqus Python scripts for the analysis of laminar and fibrous infinite media undergoing a jamming transition
DOI: 10.5063/f1mk6b5j
title: Gulf of Alaska Portfolio Effects: Groundfish Functional Diversity Traits

description: This data package consists of functional trait data for the 53 groundfish species most commonly encountered in National Oceanic and Atmosphere Administration, Alaska Fisheries Science Center (NOAA ASFC) bottom trawls from 1984-2015. These data are used in the analysis of functional diversity in a forthcoming manuscript. This work was conducted by the Groundfish sub-group of the Gulf of Alaska Portfolio Effects working group. The working group's goal is to assess how diversity may have buffered against the effects of the Exxon Valdez Oil Spill as well as other perturbations.
DOI: 10.5281/zenodo.2580413
title: Raw data from datasets used in SIMON analysis

description: Here you can find raw data and information about each of the 34 datasets generated by the <em>mulset </em>algorithm and used for further analysis in SIMON.<br>
Each dataset is stored in separate folder which contains 4 files:

<em>json_info: </em>This file contains, number of features with their names and number of subjects that are available for the same dataset<br>
<em>data_testing:</em> data frame with data used to test trained model<br>
<em>data_training:</em> data frame with data used to train models<br>
<em>results: </em>direct unfiltered data from database

Files are written in feather format. Here is an example of data structure for each file in repository.

File was compressed using 7-Zip available at https://www.7-zip.org/.
DOI: 10.5281/zenodo.2580414
title: Raw data from datasets used in SIMON analysis

description: Here you can find raw data and information about each of the 34 datasets generated by the <em>mulset </em>algorithm and used for further analysis in SIMON.<br>
Each dataset is stored in separate folder which contains 4 files:

<em>json_info: </em>This file contains, number of features with their names and number of subjects that are available for the same dataset<br>
<em>data_testing:</em> data frame with data used to test trained model<br>
<em>data_training:</em> data frame with data used to train models<br>
<em>results: </em>direct unfiltered data from database

Files are written in feather format. Here is an example of data structure for each file in repository.

File was compressed using 7-Zip available at https://www.7-zip.org/.
DOI: 10.5281/zenodo.2581011
title: A High-resolution Mosaic of the Neutral Hydrogen in the M81 Triplet

description: This dataset shows the distribution of neutral hydrogen in and around the M81 galaxy triplet (M81, M82, NGC 3077) and consists of a 3° × 3°, 105-pointing, high-resolution neutral hydrogen (H I) mosaic obtained with the Very Large Array C and D arrays. The data are described in the paper by de Blok et al. (2018).

Here we provide the following data products:

<strong>Cubes:</strong>


	the natural-weighted cube of the VLA C+D mosaic: <em>m81.nat.cube.fits</em>
	the robust-weighted cube of the VLA C+D mosaic: <em>m81.rob.cube.fits</em>
	the natural-weighted cube using only D-array-like baselines: <em>m81_D.nat.cube.fits</em>
	the natural-weighted and zero-spacing corrected data cube of the VLA C+D array and GBT single-dish data from Chynoweth et al. (2011): <em>m81.zero.cube.fits</em>


<strong>Moment maps:</strong>


	natural-weighted zeroth (column density), first (velocity field) and second (velocity dispersion) moment maps of the VLA C+D mosaic: <em>m81.nat.mom[0,1,2].fits</em>
	robust-weighted zeroth (column density), first (velocity field) and second (velocity dispersion) moment maps of the VLA C+D mosaic: <em>m81.rob.mom[0,1,2].fits</em>
	natural-weighted zeroth, first and second moment maps of the "D-array" mosaic: <em>m81_D.nat.mom[0,1,2].fits</em>
	zero-spacing corrected natural-weighted integrated HI map (zeroth-moment) of VLA C+D and GBT data: <em>m81.zero.mom0.fits</em>


<strong>Acknowledgements:</strong>

If you make use of these data please cite the original paper:

de Blok et al. (2018) - de Blok, W.J.G., Walter, F., Ferguson, A.M.N., et al. 2018, ApJ, 865, 26 (10.3847/1538-4357/aad557)
DOI: 10.5281/zenodo.2581012
title: A High-resolution Mosaic of the Neutral Hydrogen in the M81 Triplet

description: This dataset shows the distribution of neutral hydrogen in and around the M81 galaxy triplet (M81, M82, NGC 3077) and consists of a 3° × 3°, 105-pointing, high-resolution neutral hydrogen (H I) mosaic obtained with the Very Large Array C and D arrays. The data are described in the paper by de Blok et al. (2018).

Here we provide the following data products:

<strong>Cubes:</strong>


	the natural-weighted cube of the VLA C+D mosaic: <em>m81.nat.cube.fits</em>
	the robust-weighted cube of the VLA C+D mosaic: <em>m81.rob.cube.fits</em>
	the natural-weighted cube using only D-array-like baselines: <em>m81_D.nat.cube.fits</em>
	the natural-weighted and zero-spacing corrected data cube of the VLA C+D array and GBT single-dish data from Chynoweth et al. (2011): <em>m81.zero.cube.fits</em>


<strong>Moment maps:</strong>


	natural-weighted zeroth (column density), first (velocity field) and second (velocity dispersion) moment maps of the VLA C+D mosaic: <em>m81.nat.mom[0,1,2].fits</em>
	robust-weighted zeroth (column density), first (velocity field) and second (velocity dispersion) moment maps of the VLA C+D mosaic: <em>m81.rob.mom[0,1,2].fits</em>
	natural-weighted zeroth, first and second moment maps of the "D-array" mosaic: <em>m81_D.nat.mom[0,1,2].fits</em>
	zero-spacing corrected natural-weighted integrated HI map (zeroth-moment) of VLA C+D and GBT data: <em>m81.zero.mom0.fits</em>


<strong>Acknowledgements:</strong>

If you make use of these data please cite the original paper:

de Blok et al. (2018) - de Blok, W.J.G., Walter, F., Ferguson, A.M.N., et al. 2018, ApJ, 865, 26 (10.3847/1538-4357/aad557)
DOI: 10.17632/nvpgs2vjmr.1
title: Data for: Phase equilibria and thermodynamic evaluation of the Fe-Ti-V-O system in air

description: 1.) We are including additional SEM-EDS data from the study of "Phase equilibria and thermodynamic evaluation of Fe-Ti-V-O system in air". However, SEM-EDS data did not compare well to reported EPMA data in the manuscript, especially phase data of the Fe-Ti-V-O slag. We believe that the overlapping of V and Ti X-ray emission peaks might have contributed why SEM-EDS data did not compare well to EPMA data. 2.) The data from EPMA were normalized and included in the thermodynamic assessment of Fe-Ti-V-O system in air.
DOI: 10.21227/0hzd-re21
title: Ultrasound Neck Muscle Image Semantic Segmentation Dataset

description: Segmentation of ultrasound (US) images of cervical muscles is required for visualisation, analysis of deep, muscle structure and function, and monitoring of patient specific treatment protocols.The lack of publicly available labelled data, benchmark methods and results, hinders development of this domain. Here, we contribute a labelled dataset of 1,100 US images of the human posterior cervical muscles during head motion, from 28 healthy adults(19 male, mean 31.4, s.d. 8.9), and a labelled static MRI/ultrasound dataset ofhuman posterior cervical muscles, from 25 healthy adults (age: 29.0 ± 6.6, male: 12).
DOI: 10.21227/85vx-qr65
title: Ultrasound Neck Muscle Image Semantic Segmentation Dataset

description: Segmentation of ultrasound (US) images of cervical muscles is required for visualisation, analysis of deep, muscle structure and function, and monitoring of patient specific treatment protocols.The lack of publicly available labelled data, benchmark methods and results, hinders development of this domain. Here, we contribute a labelled dataset of 1,100 US images of the human posterior cervical muscles during head motion, from 28 healthy adults(19 male, mean 31.4, s.d. 8.9), and a labelled static MRI/ultrasound dataset ofhuman posterior cervical muscles, from 25 healthy adults (age: 29.0 ± 6.6, male: 12).
DOI: 10.21227/r155-rc60
title: Ultrasound/MRI Neck Muscle Image Semantic Segmentation Dataset

description: Segmentation of ultrasound (US) images of cervical muscles is required for visualisation, analysis of deep, muscle structure and function, and monitoring of patient specific treatment protocols.The lack of publicly available labelled data, benchmark methods and results, hinders development of this domain. Here, we contribute a labelled dataset of 1,100 US images of the human posterior cervical muscles during head motion, from 28 healthy adults(19 male, mean 31.4, s.d. 8.9), and a labelled static MRI/ultrasound dataset ofhuman posterior cervical muscles, from 25 healthy adults (age: 29.0 ± 6.6, male: 12).
DOI: 10.21227/2gk7-w130
title: Ultrasound/MRI Neck Muscle Image Semantic Segmentation Dataset

description: Segmentation of ultrasound (US) images of cervical muscles is required for visualisation, analysis of deep, muscle structure and function, and monitoring of patient specific treatment protocols.The lack of publicly available labelled data, benchmark methods and results, hinders development of this domain. Here, we contribute a labelled dataset of 1,100 US images of the human posterior cervical muscles during head motion, from 28 healthy adults(19 male, mean 31.4, s.d. 8.9), and a labelled static MRI/ultrasound dataset ofhuman posterior cervical muscles, from 25 healthy adults (age: 29.0 ± 6.6, male: 12).
DOI: 10.5517/ccdc.csd.cc20zrtl
title: CCDC 1876610: Experimental Crystal Structure Determination

description: Related Article: Yang Yang, Qian Zhang, Zong-Jie Guan, Zi-Ang Nan, Jia-Qi Wang, Tao Jia, Wen-Wen Zhan|2019|Inorg.Chem.|58|3670|doi:10.1021/acs.inorgchem.8b03171
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.cc20zrvm
title: CCDC 1876611: Experimental Crystal Structure Determination

description: Related Article: Yang Yang, Qian Zhang, Zong-Jie Guan, Zi-Ang Nan, Jia-Qi Wang, Tao Jia, Wen-Wen Zhan|2019|Inorg.Chem.|58|3670|doi:10.1021/acs.inorgchem.8b03171
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.cc20zrwn
title: CCDC 1876612: Experimental Crystal Structure Determination

description: Related Article: Yang Yang, Qian Zhang, Zong-Jie Guan, Zi-Ang Nan, Jia-Qi Wang, Tao Jia, Wen-Wen Zhan|2019|Inorg.Chem.|58|3670|doi:10.1021/acs.inorgchem.8b03171
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.cc210f6q
title: CCDC 1877242: Experimental Crystal Structure Determination

description: Related Article: Carlos Diaz, Tannaz Ebrahimi, Parisa Mehrkhodavandi|2019|Chem.Commun.|55|3347|doi:10.1039/C8CC08858F
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.cc210f7r
title: CCDC 1877243: Experimental Crystal Structure Determination

description: Related Article: Carlos Diaz, Tannaz Ebrahimi, Parisa Mehrkhodavandi|2019|Chem.Commun.|55|3347|doi:10.1039/C8CC08858F
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.cc210f8s
title: CCDC 1877244: Experimental Crystal Structure Determination

description: Related Article: Carlos Diaz, Tannaz Ebrahimi, Parisa Mehrkhodavandi|2019|Chem.Commun.|55|3347|doi:10.1039/C8CC08858F
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.cc211dh0
title: CCDC 1878181: Experimental Crystal Structure Determination

description: Related Article: Volodymyr M. Hiiuk, Sergiu Shova, Aurelian Rotaru, Vadim Ksenofontov, Igor O. Fritsky, Il'ya A. Gural'skiy|2019|Chem.Commun.|55|3359|doi:10.1039/C8CC10260K
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.cc211dj1
title: CCDC 1878182: Experimental Crystal Structure Determination

description: Related Article: Volodymyr M. Hiiuk, Sergiu Shova, Aurelian Rotaru, Vadim Ksenofontov, Igor O. Fritsky, Il'ya A. Gural'skiy|2019|Chem.Commun.|55|3359|doi:10.1039/C8CC10260K
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.cc2120jp
title: CCDC 1878771: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Lucas Wickemeyer, Beate Neumann, Hans-Georg Stammler, Lukas Goett-Zink, Tilman Kottke, Norbert W. Mitzel|2019|Dalton Trans.|48|4109|doi:10.1039/C8DT04783A
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: 10.5281/zenodo.2580113
title: Dirac gaugino benchmark points from arXiv:1812.09293

description: <strong>Benchmark points, in SUSY Les Houches Accord (SLHA) format</strong>, from the paper "LHC limits on gluinos and squarks in the minimal Dirac gaugino model", <strong>arXiv:1812.09293</strong>; for 2 TeV gluino and 2.6 TeV squark masses.

We also provide the <strong>UFO</strong> and <strong>SPheno models</strong> (exported from SARAH), and the SPheno <strong>input files</strong> for creating the DG benchmark points. For usage in SPheno, expand DiracGauginos_SPheno.zip to a folder "DiracGauginos" in the SPheno root directory and compile with

   <code>make Model=DiracGauginos</code>

This produces the library <code>./lib/libSPhenoDiracGauginos.a</code> and the executable <code>./bin/SPhenoDiracGauginos</code>. (Tested with SPheno-4.0.3)

Note that compared to the version exported from SARAH, we have changed <code>InputOutput.f90</code> to have an SLHA1-like ordering of the squarks, so that, for instance, PDG 1000006 is always the lighter stop.

The two additional scripts provided serve to add the QNUMBERS blocks and change "DECAY1L" to "DECAY" in the SLHA files. This is necessary for event generation with MadGraph5 / Pythia.
DOI: 10.5517/ccdc.csd.cc2120kq
title: CCDC 1878772: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Lucas Wickemeyer, Beate Neumann, Hans-Georg Stammler, Lukas Goett-Zink, Tilman Kottke, Norbert W. Mitzel|2019|Dalton Trans.|48|4109|doi:10.1039/C8DT04783A
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.cc2120lr
title: CCDC 1878773: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Lucas Wickemeyer, Beate Neumann, Hans-Georg Stammler, Lukas Goett-Zink, Tilman Kottke, Norbert W. Mitzel|2019|Dalton Trans.|48|4109|doi:10.1039/C8DT04783A
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.cc212xkm
title: CCDC 1879640: Experimental Crystal Structure Determination

description: Related Article: Bao-Qian Ji, Hai-Feng Su, Marko Jagodic, Zvonko Jaglicic, Mohamedally Kurmoo, Xing-Po Wang, Chen-Ho Tung, Zao-Zhen Cao, Di Sun|2019|Inorg.Chem.|58|3800|doi:10.1021/acs.inorgchem.8b03406
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.cc213b1k
title: CCDC 1880027: Experimental Crystal Structure Determination

description: Related Article: Rohit Bhowal, Suprakash Biswas, Devi Prasad Adiyeri Saseendran, Apurba L. Koner, Deepak Chopra|2019|CrystEngComm|21|1940|doi:10.1039/C8CE02118J
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.cc213b2l
title: CCDC 1880028: Experimental Crystal Structure Determination

description: Related Article: Rohit Bhowal, Suprakash Biswas, Devi Prasad Adiyeri Saseendran, Apurba L. Koner, Deepak Chopra|2019|CrystEngComm|21|1940|doi:10.1039/C8CE02118J
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.cc213b4n
title: CCDC 1880030: Experimental Crystal Structure Determination

description: Related Article: Rohit Bhowal, Suprakash Biswas, Devi Prasad Adiyeri Saseendran, Apurba L. Koner, Deepak Chopra|2019|CrystEngComm|21|1940|doi:10.1039/C8CE02118J
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.