cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc22zqjb
title: CCDC 1936152: Experimental Crystal Structure Determination

description: Related Article: Manas Kumar Mondal, Li Zhang, Zhongtao Feng, Shuxuan Tang, Rui Feng, Yue Zhao, Gengwen Tan, Huapeng Ruan, Xinping Wang|2019|Angew.Chem.,Int.Ed.|58|15829|doi:10.1002/anie.201910139
DOI: 10.5517/ccdc.csd.cc22zqng
title: CCDC 1936156: Experimental Crystal Structure Determination

description: Related Article: Manas Kumar Mondal, Li Zhang, Zhongtao Feng, Shuxuan Tang, Rui Feng, Yue Zhao, Gengwen Tan, Huapeng Ruan, Xinping Wang|2019|Angew.Chem.,Int.Ed.|58|15829|doi:10.1002/anie.201910139
DOI: 10.5517/ccdc.csd.cc23l23x
title: CCDC 1953778: Experimental Crystal Structure Determination

description: Related Article: Dong Jiahao|2019|CSD Communication|||
description: Related Article: Jiahao Dong, Hao Wang, Yu Zhang, Yanan Li, Kangzhen Xu|2020|J.Mol.Struct.|1208|127849|doi:10.1016/j.molstruc.2020.127849
DOI: 10.5517/ccdc.csd.cc23lsh0
title: CCDC 1954472: Experimental Crystal Structure Determination

description: Related Article: Jad Mahmoud Halabi,  Ejaz Ahmed,  Luca Catalano,  Durga Prasad Karothu,  Rachid Rezgui,  Panče Naumov|2019|J.Am.Chem.Soc.|141|14966|doi:10.1021/jacs.9b07645
DOI: 10.5517/ccdc.csd.cc23lsk2
title: CCDC 1954474: Experimental Crystal Structure Determination

description: Related Article: Naoya Kanbayashi,  Taka-aki Okamura,  Kiyotaka Onitsuka|2019|J.Am.Chem.Soc.|141|15307|doi:10.1021/jacs.9b07431
DOI: 10.5517/ccdc.csd.cc23lsm4
title: CCDC 1954476: Experimental Crystal Structure Determination

description: Related Article: Tyler P. Pabst,  Jennifer V. Obligacion,  Étienne Rochette,  Iraklis Pappas,  Paul J. Chirik|2019|J.Am.Chem.Soc.|141|15378|doi:10.1021/jacs.9b07984
DOI: 10.5517/ccdc.csd.cc23lsp6
title: CCDC 1954478: Experimental Crystal Structure Determination

description: Related Article: Penny Chaau Yan Poon,  Maksym A. Dedushko,  Xianru Sun,  Guang Yang,  Santiago Toledo,  Ellen C. Hayes,  Audra Johansen,  Marc C. Piquette,  Julian A. Rees,  Stefan Stoll,  Elena Rybak-Akimova,  Julie A. Kovacs|2019|J.Am.Chem.Soc.|141|15046|doi:10.1021/jacs.9b04729
DOI: 10.5517/ccdc.csd.ccym9c6
title: CCDC 882488: Experimental Crystal Structure Determination

description: Related Article: Yuchao Wang, Fengyan Li, Ning Jiang, Xizheng Liu, Lin Xu|2019|Dalton Trans.|48|14347|doi:10.1039/C9DT02789K
DOI: 10.5517/ccdc.csd.ccym9f8
title: CCDC 882490: Experimental Crystal Structure Determination

description: Related Article: Yuchao Wang, Fengyan Li, Ning Jiang, Xizheng Liu, Lin Xu|2019|Dalton Trans.|48|14347|doi:10.1039/C9DT02789K
DOI: 10.5517/ccdc.csd.ccym9g9
title: CCDC 882491: Experimental Crystal Structure Determination

description: Related Article: Yuchao Wang, Fengyan Li, Ning Jiang, Xizheng Liu, Lin Xu|2019|Dalton Trans.|48|14347|doi:10.1039/C9DT02789K
DOI: 10.25505/fiz.icsd.cc23kmdq
title: CSD 1953353: Experimental Crystal Structure Determination

description: Related Article: Svilen Bobev|2019|ICSD Communication|||
DOI: 10.5517/ccdc.csd.cc13qp0j
title: CCDC 1034687: Experimental Crystal Structure Determination

description: Related Article: Kuo Chu Hwang, Arunachalam Sagadevan, Pradip Kundu|2019|Green Chemistry|21|6082|doi:10.1039/C9GC02095K
DOI: 10.5517/ccdc.csd.cc1kjtlh
title: CCDC 1446137: Experimental Crystal Structure Determination

description: Related Article: Yang‐Jin Cho, So‐Yoen Kim, Jie‐Won Lee, Won‐Sik Han, Chul Hoon Kim, Ho‐Jin Son, Sang Ook Kang|2019|Chem.-Eur.J.|25|8149|doi:10.1002/chem.201901305
DOI: 10.5517/ccdc.csd.cc1kjxww
title: CCDC 1446239: Experimental Crystal Structure Determination

description: Related Article: Ting-Hong Huang, Qiao-Long Hu, Fang-Zheng Zhao, Tian-Cheng Wu, Ying Lei, Dan Zheng, Hu Yang|2020|J.Mol.Struct.|1200|127014|doi:10.1016/j.molstruc.2019.127014
DOI: 10.5517/ccdc.csd.cc1kjxxx
title: CCDC 1446240: Experimental Crystal Structure Determination

description: Related Article: Ting-Hong Huang, Qiao-Long Hu, Fang-Zheng Zhao, Tian-Cheng Wu, Ying Lei, Dan Zheng, Hu Yang|2020|J.Mol.Struct.|1200|127014|doi:10.1016/j.molstruc.2019.127014
DOI: 10.5517/ccdc.csd.cc1ktr15
title: CCDC 1454707: Experimental Crystal Structure Determination

description: Related Article: Osman Dayan, Arife Gencer Imer, Abdullah G. Al-Sehemi, Namık Özdemir, A. Dere, Z. Serbetçi, Ahmed A. Al-Ghamdi, F. Yakuphanoglu|2020|J.Mol.Struct.|1200|127062|doi:10.1016/j.molstruc.2019.127062
DOI: 10.5517/ccdc.csd.cc1zxy2x
title: CCDC 1845060: Experimental Crystal Structure Determination

description: Related Article: Aliyu M. Hamisu, Fendi Y. Wardana, Azhar Ariffin, Irshad Baig, Christos D. Malliakas, Arief C. Wibowo|2019|J.Solid State Chem.|279|120948|doi:10.1016/j.jssc.2019.120948
DOI: 10.5517/ccdc.csd.cc22jhkp
title: CCDC 1922482: Experimental Crystal Structure Determination

description: Related Article: Carsten Lenczyk, Dipak Kumar Roy, Jörn Nitsch, Krzysztof Radacki, Florian Rauch, Rian D. Dewhurst, F. Matthias Bickelhaupt, Todd B. Marder, Holger Braunschweig|2019|Chem.-Eur.J.|25|13566|doi:10.1002/chem.201902890
DOI: 10.5517/ccdc.csd.cc22zqld
title: CCDC 1936154: Experimental Crystal Structure Determination

description: Related Article: Manas Kumar Mondal, Li Zhang, Zhongtao Feng, Shuxuan Tang, Rui Feng, Yue Zhao, Gengwen Tan, Huapeng Ruan, Xinping Wang|2019|Angew.Chem.,Int.Ed.|58|15829|doi:10.1002/anie.201910139
DOI: 10.5517/ccdc.csd.cc230d7s
title: CCDC 1936794: Experimental Crystal Structure Determination

description: Related Article: Baosheng Wei, Dongchao Zhang, Yi-Hung Chen, Aiwen Lei, Paul Knochel|2019|Angew.Chem.,Int.Ed.|58|15631|doi:10.1002/anie.201908046
DOI: 10.5517/ccdc.csd.cc233mmh
title: CCDC 1939906: Experimental Crystal Structure Determination

description: Related Article: Tao Chen, Lifei Gan, Ran Wang, Yuhua Deng, Fangzhi Peng, Mark Lautens, Zhihui Shao|2019|Angew.Chem.,Int.Ed.|58|15819|doi:10.1002/anie.201909596
DOI: 10.5517/ccdc.csd.cc235nhg
title: CCDC 1941855: Experimental Crystal Structure Determination

description: Related Article: Junjie Wang, Dawei Ma|2019|Angew.Chem.,Int.Ed.|58|15731|doi:10.1002/anie.201909349
DOI: 10.5517/ccdc.csd.cc23lsr8
title: CCDC 1954480: Experimental Crystal Structure Determination

description: Related Article: Haolin Yin,  Gregory C. Fu|2019|J.Am.Chem.Soc.|141|15433|doi:10.1021/jacs.9b08185
DOI: 10.5517/ccdc.csd.cc23lss9
title: CCDC 1954481: Experimental Crystal Structure Determination

description: Related Article: Haolin Yin,  Gregory C. Fu|2019|J.Am.Chem.Soc.|141|15433|doi:10.1021/jacs.9b08185
DOI: 10.5517/ccdc.csd.cc23lstb
title: CCDC 1954482: Experimental Crystal Structure Determination

description: Related Article: Haolin Yin,  Gregory C. Fu|2019|J.Am.Chem.Soc.|141|15433|doi:10.1021/jacs.9b08185
DOI: 10.5517/ccdc.csd.cc23lswd
title: CCDC 1954484: Experimental Crystal Structure Determination

description: Related Article: Valeria Dantignana,  Joan Serrano-Plana,  Apparao Draksharapu,  Carla Magallón,  Saikat Banerjee,  Ruixi Fan,  Ilaria Gamba,  Yisong Guo,  Lawrence Que,  Miquel Costas,  Anna Company|2019|J.Am.Chem.Soc.|141|15078|doi:10.1021/jacs.9b05758
DOI: 10.5517/ccdc.csd.cc23lsxf
title: CCDC 1954485: Experimental Crystal Structure Determination

description: Related Article: Xiaoran Hu,  Tian Zeng,  Corey C. Husic,  Maxwell J. Robb|2019|J.Am.Chem.Soc.|141|15018|doi:10.1021/jacs.9b08663
DOI: 10.5517/ccdc.csd.ccym9d7
title: CCDC 882489: Experimental Crystal Structure Determination

description: Related Article: Yuchao Wang, Fengyan Li, Ning Jiang, Xizheng Liu, Lin Xu|2019|Dalton Trans.|48|14347|doi:10.1039/C9DT02789K
DOI: 10.25592/dgs.corpus-type-76184
title: ÜBERREDEN-$KANDIDAT-LEI19^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, mehrere Releases)
title: TO-PERSUADE-$CANDIDATE-LEI19^ (MY DGS – annotated. Public Corpus of German Sign Language, several releases)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Über diese versionsunabhängige DOI ist die jeweils neueste Version des Datensatzes auffindbar.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This version-dependent DOI allows you to find the latest version of the dataset.
DOI: 10.5517/ccdc.csd.cc1kjtmj
title: CCDC 1446138: Experimental Crystal Structure Determination

description: Related Article: Yang‐Jin Cho, So‐Yoen Kim, Jie‐Won Lee, Won‐Sik Han, Chul Hoon Kim, Ho‐Jin Son, Sang Ook Kang|2019|Chem.-Eur.J.|25|8149|doi:10.1002/chem.201901305
DOI: 10.5517/ccdc.csd.cc1kjtnk
title: CCDC 1446139: Experimental Crystal Structure Determination

description: Related Article: Yang‐Jin Cho, So‐Yoen Kim, Jie‐Won Lee, Won‐Sik Han, Chul Hoon Kim, Ho‐Jin Son, Sang Ook Kang|2019|Chem.-Eur.J.|25|8149|doi:10.1002/chem.201901305
DOI: 10.5517/ccdc.csd.cc1pqtnw
title: CCDC 1571069: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Chen, Zhongshu Li, Gernot Frenking, Israel Fernández, Lili Zhao, Hansjörg Grützmacher|2019|Chem.-Eur.J.|25|7912|doi:10.1002/chem.201900645
DOI: 10.5517/ccdc.csd.cc1pqtpx
title: CCDC 1571070: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Chen, Zhongshu Li, Gernot Frenking, Israel Fernández, Lili Zhao, Hansjörg Grützmacher|2019|Chem.-Eur.J.|25|7912|doi:10.1002/chem.201900645
DOI: 10.6084/m9.figshare.24782256
title: Cost study minimal dataset.xlsx

description: Clinical pharmacists identified drug-related problems and interventions to address them in consecutive outpatients visiting internal medicine clinics at major teaching and public hospitals in Jordan from September 2012 to December 2013. A total of 2747 patients were enrolled in the study. Drug-related interventions were employed in 68.3% of the 568 interventions to address the drug-related problem "change dosage or frequency," which was the most frequent approach for managing drug-related problems. The total cost avoided over the research period was $59100.93.
DOI: 10.6084/m9.figshare.24782256.v1
title: Cost study minimal dataset.xlsx

description: Clinical pharmacists identified drug-related problems and interventions to address them in consecutive outpatients visiting internal medicine clinics at major teaching and public hospitals in Jordan from September 2012 to December 2013. A total of 2747 patients were enrolled in the study. Drug-related interventions were employed in 68.3% of the 568 interventions to address the drug-related problem "change dosage or frequency," which was the most frequent approach for managing drug-related problems. The total cost avoided over the research period was $59100.93.
DOI: 10.6073/pasta/2cc6f1fac71252b0824f46f95d58b1e0
title: Dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) from river, lagoon, and open ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing

description: Multiple water types (river, lagoon, ocean) from the North Slope of Alaska and nearshore Beaufort Sea are sampled seasonally by the Beaufort Lagoon Ecosystems LTER (BLE LTER) Core Program to investigate biogeochemical linkages between terrestrial, lagoon, and open ocean ecosystems. Water samples are collected during full ice cover (April), ice break-up (mid-June to early July), and open water (late July and August) periods and analyzed for dissolved organic carbon and total dissolved nitrogen content.
DOI: 10.6073/pasta/04b9270bc26512e334ba70f7bcf8966e
title: Physiochemical water column parameters and hydrographic time series from river, lagoon, and open ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing

description: To understand circulation and seasonality as part of the Beaufort Lagoon Ecosystem Long Term Ecological Research program, temperature, conductivity, salinity, pressure, depth, and current velocity are recorded hourly in situ, starting August 2018 in lagoons across the Beaufort Sea coast (Elson Lagoon, Kaktovik Lagoon, and Jago Lagoon). Moorings include combinations of 1) RBR Concerto CTDs with temperature, conductivity, and pressure sensors; 2) StarOddi CTs with temperature and conductivity sensors; and 3) Lowell TCM-1 Tilt Current meters with MAT-1 Data Loggers for velocity and bearing. In addition, during BLE LTER's annual sampling, water column physiochemical parameters (chlorophyll a, dissolved oxygen, phycoerythrin concentration, pH, temperature, conductivity, salinity) are measured by hand with a YSI data sonde at river, lagoon, and open ocean sites along the Beaufort Sea coast. Here we provide both raw and quality controlled in situ mooring data, the R scripts used for processing, and all YSI sonde data plus a subset used to calibrate and validate the in situ mooring data.
DOI: 10.6073/pasta/5ad5b0d578057f0f1ce4a3c92f6a063b
title: Water column chlorophyll concentrations from lagoon, river, and ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing

description: Multiple water types (river, lagoon, ocean) from the North Slope of Alaska and nearshore Beaufort Sea are sampled seasonally by the Beaufort Lagoon Ecosystems LTER (BLE LTER) Core Program to investigate biogeochemical linkages between terrestrial, lagoon, and open ocean ecosystems. Water samples from multiple depths are collected during full ice cover (April), ice break-up (mid-June to early July), and open water (late July and August) periods for quantification of chlorophyll-a concentrations. Concentrations are reported in micrograms of chlorophyll per liter of filtered seawater (μg/L).
DOI: 10.34740/kaggle/dsv/7163964
title: heath_curacao_financial
DOI: 10.17909/fw24-0b81
title: UVCANDELS data

description: Used to create mosaics for LyC studies of Smith et al. (2023, subm)
DOI: 10.5281/zenodo.10086810
title: Table of Ultracool Fundamental Properties

description: The Table of Ultracool Fundamental Properties is a subset of The UltracoolSheet (version 2.0.0, in preparation) associated with Sanghi et al. (2023): The Hawaii Infrared Parallax Program. VI. The Fundamental Properties of 1000+ Ultracool Dwarfs and Planetary-mass Objects Using Optical to Mid-IR SEDs and Comparison to BT-Settl and ATMO 2020 Model Atmospheres.


It is a comprehensive compilation of the astrometric, photometric, spectroscopic, age properties, and fundamental parameters (bolometric luminosities, masses, radii, surface gravities, and effective temperatures) of all objects in the above paper's sample.


Three CSV files are provided here: (1) Ultracool_Fundamental_Properties_Table.csv (with all object information); (2) AgeValues.csv (with age values for the different age assignment categories); and (3) References.csv (with citation information). The README.txt file contains a detailed description of the contents of the three CSV files.


When using data from the Table of Ultracool Fundamental Properties, please cite the individual papers from which the data comes. Citations codes are included for all the data in the tables, and the References table translates the citation codes into ADS bibcodes, Papers citekeys, and publication titles. For research that benefits from this compilation, please cite this Zenodo post and include the following acknowledgment:


"This work has benefitted from The UltracoolSheet at http://bit.ly/UltracoolSheet, maintained by Will Best, Trent Dupuy, Michael Liu, Aniket Sanghi, Rob Siverd, and Zhoujian Zhang, and developed from compilations by Dupuy & Liu (2012, ApJS, 201, 19), Dupuy & Kraus (2013, Science, 341, 1492), Liu et al. (2016, ApJ, 833, 96), Best et al. (2018, ApJS, 234, 1), Best et al. (2021, AJ, 161, 42), Sanghi et al. (2023), and Schneider et al. (2023, AJ, 166, 103)."
description: Version 2.0.0: Adds host star ages and fundamental parameter estimates for 7 companions in the sample missing the corresponding information in Version 1.0.0.
DOI: 10.5281/zenodo.8315642
title: Table of Ultracool Fundamental Properties

description: The Table of Ultracool Fundamental Properties is a subset of The UltracoolSheet (version 2.0.0, in preparation) associated with Sanghi et al. (2023): The Hawaii Infrared Parallax Program. VI. The Fundamental Properties of 1000+ Ultracool Dwarfs and Planetary-mass Objects Using Optical to Mid-IR SEDs and Comparison to BT-Settl and ATMO 2020 Model Atmospheres.


It is a comprehensive compilation of the astrometric, photometric, spectroscopic, age properties, and fundamental parameters (bolometric luminosities, masses, radii, surface gravities, and effective temperatures) of all objects in the above paper's sample.


Three CSV files are provided here: (1) Ultracool_Fundamental_Properties_Table.csv (with all object information); (2) AgeValues.csv (with age values for the different age assignment categories); and (3) References.csv (with citation information). The README.txt file contains a detailed description of the contents of the three CSV files.


When using data from the Table of Ultracool Fundamental Properties, please cite the individual papers from which the data comes. Citations codes are included for all the data in the tables, and the References table translates the citation codes into ADS bibcodes, Papers citekeys, and publication titles. For research that benefits from this compilation, please cite this Zenodo post and include the following acknowledgment:


"This work has benefitted from The UltracoolSheet at http://bit.ly/UltracoolSheet, maintained by Will Best, Trent Dupuy, Michael Liu, Aniket Sanghi, Rob Siverd, and Zhoujian Zhang, and developed from compilations by Dupuy & Liu (2012, ApJS, 201, 19), Dupuy & Kraus (2013, Science, 341, 1492), Liu et al. (2016, ApJ, 833, 96), Best et al. (2018, ApJS, 234, 1), Best et al. (2021, AJ, 161, 42), Sanghi et al. (2023), and Schneider et al. (2023, AJ, 166, 103)."
description: Version 2.0.0: Adds host star ages and fundamental parameter estimates for 7 companions in the sample missing the corresponding information in Version 1.0.0.
DOI: 10.5281/zenodo.8315643
title: Table of Ultracool Fundamental Properties

description: The Table of Ultracool Fundamental Properties is a subset of The UltracoolSheet (version 2.0.0, in preparation) associated with Sanghi et al. (2023): The Hawaii Infrared Parallax Program. VI. The Fundamental Properties of 1000+ Ultracool Dwarfs and Planetary-mass Objects Using Optical to Mid-IR SEDs and Comparison to BT-Settl and ATMO 2020 Model Atmospheres. It is a comprehensive compilation of the astrometric, photometric, spectroscopic, age properties, and fundamental parameters (bolometric luminosities, masses, radii, surface gravities, and effective temperatures) of all objects in the above paper's sample. Three CSV files are provided here: (1) Ultracool_Fundamental_Properties_Table.csv (with all object information); (2) AgeValues.csv (with age values for the different age assignment categories); and (3) References.csv (with citation information). The README.txt file contains a detailed description of the contents of the three CSV files. When using data from the Table of Ultracool Fundamental Properties, please cite the individual papers from which the data comes. Citations codes are included for all the data in the tables, and the References table translates the citation codes into ADS bibcodes, Papers citekeys, and publication titles. For research that benefits from this compilation, please cite this Zenodo post and include the following acknowledgment: "This work has benefitted from The UltracoolSheet at http://bit.ly/UltracoolSheet, maintained by Will Best, Trent Dupuy, Michael Liu, Aniket Sanghi, Rob Siverd, and Zhoujian Zhang, and developed from compilations by Dupuy & Liu (2012, ApJS, 201, 19), Dupuy & Kraus (2013, Science, 341, 1492), Liu et al. (2016, ApJ, 833, 96), Best et al. (2018, ApJS, 234, 1), Best et al. (2021, AJ, 161, 42), Sanghi et al. (2023), and Schneider et al. (2023, AJ, 166, 103)."
DOI: 10.5281/zenodo.8207890
title: Examples for CGI2023

description: Examples for CGI2023. Calculations are described in the paper "Algorithmic computation of multivector inverses and characteristic polynomials in non-degenerate Clifford algebras".
DOI: 10.5281/zenodo.10327066
title: Examples for CGI2023

description: Examples for CGI2023. Calculations are described in the paper "Algorithmic computation of multivector inverses and characteristic polynomials in non-degenerate Clifford algebras".
DOI: 10.5281/zenodo.8207889
title: Examples for CGI2023

description: Examples for CGI2023. Calculations are described in the paper "Algorithmic computation of multivector inverses and characteristic polynomials in non-degenerate Clifford algebras".
DOI: 10.5281/zenodo.8214080
title: Examples for CGI2023

description: Examples for CGI2023. Calculations are described in the paper "Algorithmic computation of multivector inverses and characteristic polynomials in non-degenerate Clifford algebras".
DOI: 10.3886/e195681
title: Pronunciation Algorithm Used in "How Do You Say Your Name? Difficult-to-Pronounce Names and Labor Market Outcomes

description: [This is the pronunciation algorithm used in "How Do You Say Your Name? Difficult-to-Pronounce Names and Labor Market Outcomes", forthcoming in American Economic Journal: Economic Policy, This is the pronunciation algorithm used in "How Do You Say Your Name? Difficult-to-Pronounce Names and Labor Market Outcomes", forthcoming in American Economic Journal: Economic Policy]
DOI: 10.34740/kaggle/dsv/7162651
title: American House Prices
DOI: 10.5517/ccdc.csd.cc29cn2f
title: CCDC 2126354: Experimental Crystal Structure Determination

description: Related Article: C. Bhaskar, N. Elangovan, S. Sowrirajan, S. Chandrasekar, Suliman Yousef Alomar, Asad Nawaz|2023|Results in Chemistry|6|101036|doi:10.1016/j.rechem.2023.101036
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: 10.6084/m9.figshare.24782295
title: FinalDatasetMar22 (1).sav

description: Quantitative empirical research within healthcare domain
DOI: 10.6084/m9.figshare.24782295.v1
title: FinalDatasetMar22 (1).sav

description: Quantitative empirical research within healthcare domain
DOI: 10.34740/kaggle/dsv/7164223
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.34740/kaggle/dsv/7164224
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7164238
title: Trending Youtube Video Statistics (113 Countries)