cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc20l17x
title: CCDC 1864378: Experimental Crystal Structure Determination

description: Related Article: Thomas Charles Pickel,  Gregory J. Karahalis,  Cassandra T. Buru,  John Bacsa,  Christopher C. Scarborough|2018|Eur.J.Org.Chem.|2018|6876|doi:10.1002/ejoc.201801323
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.cc20lxfz
title: CCDC 1865221: Experimental Crystal Structure Determination

description: Related Article: Zhengao Feng,  Tyler K. Allred,  Evan E. Hurlow,  and Patrick G. Harran|2019|J.Am.Chem.Soc.|141|2274|doi:10.1021/jacs.9b00396
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.cc1zm18x
title: CCDC 1835549: Experimental Crystal Structure Determination

description: Related Article: Javier Troyano, Eduardo Zapata, Josefina Perles, Pilar Amo-Ochoa, Vanesa Fernández-Moreira, José I. Martínez, Félix Zamora, Salomé Delgado|2019|Inorg.Chem.|58|3290|doi:10.1021/acs.inorgchem.8b03364
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.cc20qf39
title: CCDC 1868590: Experimental Crystal Structure Determination

description: Related Article: Sebastian M. Krajewski, Aaron S. Crossman, Eser S. Akturk, Tim Suhrbier, Steven J. Scappaticci, Maxwell W. Staab, Michael P. Marshak|2019|Dalton Trans.|48|10714|doi:10.1039/C9DT02293G
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.cc22zdj0
title: CCDC 1935842: Experimental Crystal Structure Determination

description: Related Article: O. Sall, F.B. Tamboura, A. Sy, A.H. Barry, E.I. Thiam, M. Gaye, J. Ellena|2019|Acta Crystallogr.,Sect.E:Cryst.Commun.|75|1069|doi:10.1107/S2056989019008922
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.23899689
title: data-Understanding the Mechanisms Behind Descriptive Norms on Influenza Vaccination Intention.xlsx

description: data
DOI: 10.6084/m9.figshare.23899455
title: type I error alfa estimates.xlsx

description: Type I error probability estimate, or the significance level estimate, for a simulation-based test of difference in the means of two gamma-distributed variables. The level depends on the parameter set-up for the two gamma distributions. Each sig.level estimate is for a given parameter combination, given sample size. The combinations considered are for either shape parameter to be 1 .. 30 and for the scale 1 parameter to be 1..30. The other distribution's scale 2 parameter is such that the two gamma distributions have the same expected value. Each sig.level is estimated by running the proposed test five thousand times. Six parameter scenarios were considered: scenario1 ... both shape parameters are 1..10, scenario2..both shape params are 11..20, scenario3..both shape params are 21..30, scenario4..shape 1 is 1..10, shape 2 is 11..20, scenario5..shape 1 is 1..10, shape2 is 21..30, scenario6..shape 1 is 11..20, shape 2 is 21..30. Scale 1 is always 1..30 in all the scenarios. The sample sizes (equal) and the scenario gave rise to the data file name. For example, a_sc2_40.xlsx contains sig.level estimates for sample sizes of 40 and all scenario 2 parameter combinations (each number in the file relates to one parameter combination).
DOI: 10.6084/m9.figshare.23899455.v1
title: type I error alfa estimates.xlsx

description: Type I error probability estimate, or the significance level estimate, for a simulation-based test of difference in the means of two gamma-distributed variables. The level depends on the parameter set-up for the two gamma distributions. Each sig.level estimate is for a given parameter combination, given sample size. The combinations considered are for either shape parameter to be 1 .. 30 and for the scale 1 parameter to be 1..30. The other distribution's scale 2 parameter is such that the two gamma distributions have the same expected value. Each sig.level is estimated by running the proposed test five thousand times. Six parameter scenarios were considered: scenario1 ... both shape parameters are 1..10, scenario2..both shape params are 11..20, scenario3..both shape params are 21..30, scenario4..shape 1 is 1..10, shape 2 is 11..20, scenario5..shape 1 is 1..10, shape2 is 21..30, scenario6..shape 1 is 11..20, shape 2 is 21..30. Scale 1 is always 1..30 in all the scenarios. The sample sizes (equal) and the scenario gave rise to the data file name. For example, a_sc2_40.xlsx contains sig.level estimates for sample sizes of 40 and all scenario 2 parameter combinations (each number in the file relates to one parameter combination).
DOI: 10.6084/m9.figshare.23899524
title: percentile-seeking d-multiple estimate

description: For two defined gamma distributions with equal expected values, many two-sample random drawings can be done, sample averages calculated from them and ultimately their difference. This is one realization of this difference expression. Doing so many times (here ten thousand times for the given distributions and sample size), many realisations are available, enough to estimate properly the distribution of the sample average difference under the null hypothesis: the two gamma distributions have the same expected values. Once the distribution is available, its 2.5 % and 97.5% p percentiles are available and thus also the multiple d in the equation p = d * (square root of the true variance of the difference of the two sample averages). If d does not fluctuate much, it can be used in practice to calculate back the percentiles (with an estimate of the square root), regardless of the form of the gamma distributions. If such percentiles are at hand, they can be used for testing the null hypothesis in practice. The dataset item contains files, such as "d_sc3_30.xls". The file name means that it concerns sample sizes of 30 and various combinations of the two gamma distribution parameters (the combinations belong to scenario 3 - see below), and the file contains the d multiple estimates for each parameter combination within the scenario. There is the "d_lower", which is the multiple leading to the 2.5% percentile, and "d_upper" leading to the 97.5% percentile.The scenarios are: scenario 1 ..both shape parameters are 1..10, scenario 2..both shape parameters are 11..20, scenario 3.. both shape params are 21..30, scenario 4..shape 1 is 1..10, shape 2 is 11..20,scenario 5..shape 1 is 1..10, shape 2 is 21..30, scenario 6..shape 1 is 11..20, shape 2 is 21..30. The scale 1 parameter is always 1..30. The scale 2 parameter is such that both distributions have the same expected values. Returning to the example "d_sc3_30.xls", this file contains d's for shape 1 = 21 = shape 2, scale 1 = 1, shape1 = 21, shape2 = 22, shape1=21, ..., shape1 = shape2=30, scale1=30. Each row in the file has the d_ lower and d_upper for one of these combinations, and the sample sizes are both always 30.
DOI: 10.6084/m9.figshare.23899668
title: test power estimates

description: Let there be two gamma distributions with parameters that fall to one of the following six scenarios: scenario 1 ..both shape parameters are 1..10, scenario 2..both shape parameters are 11..20, scenario 3.. both shape params are 21..30, scenario 4..shape 1 is 1..10, shape 2 is 11..20,scenario 5..shape 1 is 1..10, shape 2 is 21..30, scenario 6..shape 1 is 11..20, shape 2 is 21..30. The scale 1 parameter is always 1..30, and the scale 2 parameter is such that: in scenario 1, the expected values of the two gamma distributions always differ by 20, in scenario 2, the expected values of the two gamma distributions differ by 30, in scenario 3, the expected values of the two gamma distributions differ by 38, in scenario 4, the expected values of the two gamma distributions differ by 14, in scenario 5, the expected values of the two gamma distributions differ by 16, in scenario 6, the expected values of the two gamma distributions differ by 28. Obtaining by simulation many pairs of random samples from the two gamma distributions, a test can be carried out to test the null hypothesis: both expected values are the same. Using the many pairs, the test power can be estimated. These estimates are contained in the files "power_sc number1_number2. xls", where number2 is the sample size (both samples of equal size), number1 = parameter scenario. Each such file contains the test power estimates, each estimate related to a specific sc number1 set-up of the parameters of the two distributions.
DOI: 10.6084/m9.figshare.23899668.v1
title: test power estimates

description: Let there be two gamma distributions with parameters that fall to one of the following six scenarios: scenario 1 ..both shape parameters are 1..10, scenario 2..both shape parameters are 11..20, scenario 3.. both shape params are 21..30, scenario 4..shape 1 is 1..10, shape 2 is 11..20,scenario 5..shape 1 is 1..10, shape 2 is 21..30, scenario 6..shape 1 is 11..20, shape 2 is 21..30. The scale 1 parameter is always 1..30, and the scale 2 parameter is such that: in scenario 1, the expected values of the two gamma distributions always differ by 20, in scenario 2, the expected values of the two gamma distributions differ by 30, in scenario 3, the expected values of the two gamma distributions differ by 38, in scenario 4, the expected values of the two gamma distributions differ by 14, in scenario 5, the expected values of the two gamma distributions differ by 16, in scenario 6, the expected values of the two gamma distributions differ by 28. Obtaining by simulation many pairs of random samples from the two gamma distributions, a test can be carried out to test the null hypothesis: both expected values are the same. Using the many pairs, the test power can be estimated. These estimates are contained in the files "power_sc number1_number2. xls", where number2 is the sample size (both samples of equal size), number1 = parameter scenario. Each such file contains the test power estimates, each estimate related to a specific sc number1 set-up of the parameters of the two distributions.
DOI: 10.17617/4.d5
title: Outstanding Charge Mobility by Band Transport in Two-Dimensional Semiconducting Covalent Organic Frameworks

description: This contains the raw an processed data of: Fu, S., Jin, E., Hanayama, H., Zheng, W., Zhang, H., Di Virgilio, L., et al. (2022). Outstanding Charge Mobility by Band Transport in Two-Dimensional Semiconducting Covalent Organic Frameworks. Journal of the American Chemical Society, 144(16), 7489-7496. doi:10.1021/jacs.2c02408.
DOI: 10.6084/m9.figshare.23899695
title: BrexitDatasetCleaned (4).xlsx

description: Salience scores of 27 MS plus Commission and UK across 20 salient issues in WA and TCA negotiations.
DOI: 10.6084/m9.figshare.23899695.v1
title: BrexitDatasetCleaned (4).xlsx

description: Salience scores of 27 MS plus Commission and UK across 20 salient issues in WA and TCA negotiations.
DOI: 10.6084/m9.figshare.23804316
title: Data for "Convective environments leading to microburst, macroburst and downburst events across the United States"

description: Post-processes convective parameters that were calculated using raw ERA5 hybrid-sigma model levels and thundeR v1.0 R language package. Parameters were calculated for downbursts and non-severe lightning situations across the United States that were evaluated in work "Convective environments leading to microburst, macroburst and downburst events across the United States" (https://doi.org/10.1016/j.wace.2022.100474). Data is stored in a data.frame object in .rds (R Data Serialization) file format.
DOI: 10.6084/m9.figshare.12284216
title: [IEEE ACCESS] Controlled Experiment - Code smell detection

description: Supplementary material of "On the Assessment of Continuous Detection of Code Smells in Practice: A Controlled Experiment" paper
DOI: 10.6084/m9.figshare.12284216.v1
title: Controlled Experiment - Code smell detection

description: Supplementary material of "On the Assessment of Continuous Detection of Code Smells in Practice: A Controlled Experiment" paper
DOI: 10.5517/ccdc.csd.cc20r666
title: CCDC 1869337: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peel, Noriyuki Tezuka, James M. D'Rozario, Masanobu Uchiyama, Andrew E. H. Wheatley|2019|Chemical Science|10|3385|doi:10.1039/C8SC04325F
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.cc20r688
title: CCDC 1869339: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peel, Noriyuki Tezuka, James M. D'Rozario, Masanobu Uchiyama, Andrew E. H. Wheatley|2019|Chemical Science|10|3385|doi:10.1039/C8SC04325F
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.cc20r699
title: CCDC 1869340: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peel, Noriyuki Tezuka, James M. D'Rozario, Masanobu Uchiyama, Andrew E. H. Wheatley|2019|Chemical Science|10|3385|doi:10.1039/C8SC04325F
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.cc21klks
title: CCDC 1893745: Experimental Crystal Structure Determination

description: Related Article: Xiyu Mo, Zilu Chen, Bo Chu, Dongcheng Liu, Yuning Liang, Fupei Liang|2019|Metallomics|11|1952|doi:10.1039/C9MT00165D
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.cc21kllt
title: CCDC 1893746: Experimental Crystal Structure Determination

description: Related Article: Xiyu Mo, Zilu Chen, Bo Chu, Dongcheng Liu, Yuning Liang, Fupei Liang|2019|Metallomics|11|1952|doi:10.1039/C9MT00165D
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.cc21klmv
title: CCDC 1893747: Experimental Crystal Structure Determination

description: Related Article: Xiyu Mo, Zilu Chen, Bo Chu, Dongcheng Liu, Yuning Liang, Fupei Liang|2019|Metallomics|11|1952|doi:10.1039/C9MT00165D
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.cc21v334
title: CCDC 1901915: Experimental Crystal Structure Determination

description: Related Article: Hui-Hui Cui,  Wei Lv,  Wei Tong,  Xue-Tai Chen,  and Zi-Ling Xue|2019|Eur.J.Inorg.Chem.|2019|4653|doi:10.1002/ejic.201900942
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.cc2353l0
title: CCDC 1941331: Experimental Crystal Structure Determination

description: Related Article: Aparajita Mukherjee, Semanti Basu, Samaresh Bhattacharya|2020|Inorg.Chim.Acta|500|119228|doi:10.1016/j.ica.2019.119228
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.cc24pyrk
title: CCDC 1987309: Experimental Crystal Structure Determination

description: Related Article: Binling Yao, Fang Lu, De-Xuan Gan, Shihao Liu, Yi-Quan Zhang, Yi-Fei Deng, Yuan-Zhu Zhang|2020|Inorg.Chem.|59|10389|doi:10.1021/acs.inorgchem.0c01151
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.cc255fsl
title: CCDC 2001229: Experimental Crystal Structure Determination

description: Related Article: Álvaro Beltrán, Inmaculada Gata, Celia Maya, João Avó, João Carlos Lima, César A. T. Laia, Riccardo Peloso, Mani Outis, M. Carmen Nicasio|2020|Inorg.Chem.|59|10894|doi:10.1021/acs.inorgchem.0c01397
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.cc255fvn
title: CCDC 2001231: Experimental Crystal Structure Determination

description: Related Article: Álvaro Beltrán, Inmaculada Gata, Celia Maya, João Avó, João Carlos Lima, César A. T. Laia, Riccardo Peloso, Mani Outis, M. Carmen Nicasio|2020|Inorg.Chem.|59|10894|doi:10.1021/acs.inorgchem.0c01397
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.cc255kmk
title: CCDC 2001348: Experimental Crystal Structure Determination

description: Related Article: Álvaro Beltrán, Inmaculada Gata, Celia Maya, João Avó, João Carlos Lima, César A. T. Laia, Riccardo Peloso, Mani Outis, M. Carmen Nicasio|2020|Inorg.Chem.|59|10894|doi:10.1021/acs.inorgchem.0c01397
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.cc255krp
title: CCDC 2001352: Experimental Crystal Structure Determination

description: Related Article: Álvaro Beltrán, Inmaculada Gata, Celia Maya, João Avó, João Carlos Lima, César A. T. Laia, Riccardo Peloso, Mani Outis, M. Carmen Nicasio|2020|Inorg.Chem.|59|10894|doi:10.1021/acs.inorgchem.0c01397
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.cc257rbj
title: CCDC 2003447: Experimental Crystal Structure Determination

description: Related Article: Álvaro Beltrán, Inmaculada Gata, Celia Maya, João Avó, João Carlos Lima, César A. T. Laia, Riccardo Peloso, Mani Outis, M. Carmen Nicasio|2020|Inorg.Chem.|59|10894|doi:10.1021/acs.inorgchem.0c01397
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.cc25rjk1
title: CCDC 2018613: Experimental Crystal Structure Determination

description: Related Article: Dawei Li|2020|CSD Communication|||
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.cc2f6ks0
title: CCDC 2240642: Experimental Crystal Structure Determination

description: Related Article: Oriol Vallcorba, Julio Fraile-Sainz, Concepción Domingo, José A. Ayllón|2023|Microporous and Mesoporous Materials|360|112688|doi:10.1016/j.micromeso.2023.112688
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.