cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4035990
title: Data to: Aerosol emission of child voices during speaking, singing and shouting

description: This dataset contains raw data of emitted aerosols measured via a laser particle counter. Further, R-code (RMarkdown) for statistical analyses is available. A pre-print of an article based on these data was deposited here: https://www.medrxiv.org/content/early/2020/09/18/2020.09.17.20196733
DOI: 10.5281/zenodo.4035989
title: Data to: Aerosol emission of child voices during speaking, singing and shouting

description: This dataset contains raw data of emitted aerosols measured via a laser particle counter. Further, R-code (RMarkdown) for statistical analyses is available. A pre-print of an article based on these data was deposited here: https://www.medrxiv.org/content/early/2020/09/18/2020.09.17.20196733
DOI: 10.25345/c5r77d
title: MassIVE MSV000086189 - Proteome of Dipetalogaster maxima digestive tract
title: Dipetalogaster maxima are insect triatomines and vectors of the protozoan Trypanosoma cruzi responsible for human Chagas' disease. Considering that T. cruzi multiplies inside the triatomine digestive tract (TDT), the analysis of the TDT protein profile is an essential step to understand TDT physiology during T. cruzi infection. To characterize the protein profile of TDT of D. maxima, a shotgun liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach was applied in this report.
DOI: 10.5281/zenodo.4043154
title: Fecal and Blood Metabolites of Pigs

description: The experimental design of the animal study and the sanitary challenge model used have been described by Van der Meer et al. (2020). Pigs were divided into high sanitary condition (HSC) or to low sanitary condition (LSC), for details please see the original publication by Van der Meer et al. (2020). At the dissection day, three pigs per room were euthanized to collect blood and digesta samples for further analysis. We used colon digesta and blood samples from pigs in this study that received a diet with a basal amino acid (AA) ratios (indicated as “diet AA-B” in the paper of van der Meer et al. 2020) and a protein content of CP 168 g/kg; LSC (n=18) and HSC (n=18). These samples were analyzed by Nuclear Magnetic Resonance (NMR) and by Triple Quad Mass Spectrometry (TQMS). The details of these laboratory analysis are described in the journal article entitled "Sanitary conditions affect the colonic microbiome and the colonic and systemic metabolome of female pigs" (doi: will update accordingly). The data uploaded here are by the format of the Joint Committee on Atomic and Molecular Physical Data (JCAMP). Moreover the metadata file shows the link between the samples and their corresponding group, i.e. HSC or LSC, and other characteristics.
DOI: 10.5281/zenodo.4043153
title: Fecal and Blood Metabolites of Pigs

description: The experimental design of the animal study and the sanitary challenge model used have been described by Van der Meer et al. (2020). Pigs were divided into high sanitary condition (HSC) or to low sanitary condition (LSC), for details please see the original publication by Van der Meer et al. (2020). At the dissection day, three pigs per room were euthanized to collect blood and digesta samples for further analysis. We used colon digesta and blood samples from pigs in this study that received a diet with a basal amino acid (AA) ratios (indicated as “diet AA-B” in the paper of van der Meer et al. 2020) and a protein content of CP 168 g/kg; LSC (n=18) and HSC (n=18). These samples were analyzed by Nuclear Magnetic Resonance (NMR) and by Triple Quad Mass Spectrometry (TQMS). The details of these laboratory analysis are described in the journal article entitled "Sanitary conditions affect the colonic microbiome and the colonic and systemic metabolome of female pigs" (doi: will update accordingly). The data uploaded here are by the format of the Joint Committee on Atomic and Molecular Physical Data (JCAMP). Moreover the metadata file shows the link between the samples and their corresponding group, i.e. HSC or LSC, and other characteristics.
DOI: 10.5281/zenodo.4043743
title: Characterization of descriptors in machine learning for data-based sputtering yield prediction

description: table I-V
DOI: 10.5281/zenodo.3701956
title: Characterization of descriptors in machine learning for data-based sputtering yield prediction

description: table I-V
DOI: 10.18419/darus-862/6
title: case1_single_tracer_fracture_reference-00038.vtu

description: :unav
DOI: 10.5517/ccdc.csd.cc13732j
title: CCDC 1019716: Experimental Crystal Structure Determination

description: Related Article: Janet Sabina Xavier, Karthikeyan Jayabalan, V. Ragavendran, A. NityanandaShetty|2020|Bioorg.Chem.|102|104081|doi:10.1016/j.bioorg.2020.104081
DOI: 10.5517/ccdc.csd.cc14dlx1
title: CCDC 1054803: Experimental Crystal Structure Determination

description: Related Article: Janet Sabina Xavier, Karthikeyan Jayabalan, V. Ragavendran, A. NityanandaShetty|2020|Bioorg.Chem.|102|104081|doi:10.1016/j.bioorg.2020.104081
DOI: 10.5517/ccdc.csd.cc20bnz0
title: CCDC 1857302: Experimental Crystal Structure Determination

description: Related Article: Thomas Cantin, Yvonne Morgenstern, Agnès Mingot, Andreas Kornath, Sébastien Thibaudeau|2020|Chem.Commun.|56|11110|doi:10.1039/D0CC02910F
DOI: 10.5517/ccdc.csd.cc20bp02
title: CCDC 1857303: Experimental Crystal Structure Determination

description: Related Article: Thomas Cantin, Yvonne Morgenstern, Agnès Mingot, Andreas Kornath, Sébastien Thibaudeau|2020|Chem.Commun.|56|11110|doi:10.1039/D0CC02910F
DOI: 10.5517/ccdc.csd.cc22chyx
title: CCDC 1917689: Experimental Crystal Structure Determination

description: Related Article: Mingrui Li, Yiming Sun, Yuxing Xie, Yang Yu, Fei Huang, He Huang|2020|Chem.Commun.|56|11050|doi:10.1039/D0CC04157B
DOI: 10.5517/ccdc.csd.cc23dnry
title: CCDC 1948590: Experimental Crystal Structure Determination

description: Related Article: Alberto Feliciano, Rosa Padilla, Carlos H. Escalante, José Enrique Herbert-Pucheta, Miguel A. Vázquez, Joaquín Tamariz, Francisco Delgado|2020|J.Organomet.Chem.|923|121360|doi:10.1016/j.jorganchem.2020.121360
DOI: 10.5517/ccdc.csd.cc23dyk1
title: CCDC 1948863: Experimental Crystal Structure Determination

description: Related Article: Noriyuki Suzuki, Makoto Hosoya, Tomoyuki Ono, Ayari Mochizuki, Yoshiro Masuyama|2020|J.Organomet.Chem.|923|121410|doi:10.1016/j.jorganchem.2020.121410
DOI: 10.5517/ccdc.csd.cc23dyl2
title: CCDC 1948864: Experimental Crystal Structure Determination

description: Related Article: Noriyuki Suzuki, Makoto Hosoya, Tomoyuki Ono, Ayari Mochizuki, Yoshiro Masuyama|2020|J.Organomet.Chem.|923|121410|doi:10.1016/j.jorganchem.2020.121410
DOI: 10.5517/ccdc.csd.cc23fw7p
title: CCDC 1949752: Experimental Crystal Structure Determination

description: Related Article: Alberto Feliciano, Rosa Padilla, Carlos H. Escalante, José Enrique Herbert Pucheta, Miguel Ángel Vázquez, Joaquín Tamariz, and Francisco Delgado, |2019|CSD Communication|||
description: Related Article: Alberto Feliciano, Rosa Padilla, Carlos H. Escalante, José Enrique Herbert-Pucheta, Miguel A. Vázquez, Joaquín Tamariz, Francisco Delgado|2020|J.Organomet.Chem.|923|121360|doi:10.1016/j.jorganchem.2020.121360
DOI: 10.5517/ccdc.csd.cc23fwbs
title: CCDC 1949755: Experimental Crystal Structure Determination

description: Related Article: Alberto Feliciano, Rosa Padilla, Carlos H. Escalante, José Enrique Herbert Pucheta, Miguel Ángel Vázquez, Joaquín Tamariz, and Francisco Delgado|2019|CSD Communication|||
description: Related Article: Alberto Feliciano, Rosa Padilla, Carlos H. Escalante, José Enrique Herbert-Pucheta, Miguel A. Vázquez, Joaquín Tamariz, Francisco Delgado|2020|J.Organomet.Chem.|923|121360|doi:10.1016/j.jorganchem.2020.121360
DOI: 10.5517/ccdc.csd.cc23j7zw
title: CCDC 1952038: Experimental Crystal Structure Determination

description: Related Article: Alberto Feliciano, Rosa Padilla, Carlos H. Escalante, José Enrique Herbert-Pucheta, Miguel A. Vázquez, Joaquín Tamariz, Francisco Delgado|2020|J.Organomet.Chem.|923|121360|doi:10.1016/j.jorganchem.2020.121360
DOI: 10.5517/ccdc.csd.cc13zt52
title: CCDC 1042504: Experimental Crystal Structure Determination

description: Related Article: Debabrata Sengupta, Sreetosh Goswami, Rajdeep Banerjee, Matthew J. Guberman-Pfeffer, Abhijeet Patra, Anirban Dutta, Rajib Pramanick, Shobhana Narasimhan, Narayan Pradhan, Victor Batista, T. Venkatesan, Sreebrata Goswami|2020|Chemical Science|11|9226|doi:10.1039/D0SC02683B
DOI: 10.18419/darus-862/7
title: case1_single_tracer_matrix_reference-00036.vtu

description: :unav
DOI: 10.18419/darus-862/8
title: case1_single_tracer_matrix_reference-00027.vtu

description: :unav
DOI: 10.18419/darus-862/10
title: case1_single_tracer_matrix_reference-00094.vtu

description: :unav
DOI: 10.18419/darus-862/12
title: case1_single_tracer_fracture_reference-00022.vtu

description: :unav
DOI: 10.18419/darus-862/13
title: case1_single_tracer_matrix_reference-00091.vtu

description: :unav
DOI: 10.18419/darus-862/14
title: case1_single_tracer_fracture_reference-00091.vtu

description: :unav
DOI: 10.18419/darus-862/15
title: case1_single_tracer_fracture_reference-00014.vtu

description: :unav
DOI: 10.18419/darus-862/18
title: case1_single_tracer_fracture_reference-00058.vtu

description: :unav
DOI: 10.18419/darus-862/19
title: case1_single_tracer_fracture_reference-00078.vtu

description: :unav
DOI: 10.18419/darus-862/21
title: case1_single_tracer_matrix_reference-00031.vtu

description: :unav
DOI: 10.18419/darus-862/23
title: case1_single_tracer_fracture_reference-00028.vtu

description: :unav
DOI: 10.18419/darus-862/25
title: case1_single_tracer_matrix_reference-00002.vtu

description: :unav
DOI: 10.18419/darus-862/27
title: case1_single_tracer_fracture_reference-00054.vtu

description: :unav
DOI: 10.18419/darus-862/28
title: case1_single_tracer_fracture_reference-00075.vtu

description: :unav
DOI: 10.18419/darus-862/29
title: case1_single_tracer_fracture_reference-00070.vtu

description: :unav
DOI: 10.18419/darus-862/30
title: case1_single_tracer_matrix_reference-00018.vtu

description: :unav
DOI: 10.18419/darus-862/31
title: case1_single_tracer_matrix_reference-00048.vtu

description: :unav
DOI: 10.18419/darus-862/32
title: case1_single_tracer_fracture_reference-00082.vtu

description: :unav
DOI: 10.18419/darus-862/33
title: case1_single_tracer_fracture_reference-00033.vtu

description: :unav
DOI: 10.18419/darus-862/35
title: case1_single_tracer_fracture_reference-00021.vtu

description: :unav
DOI: 10.18419/darus-862/36
title: case1_single_tracer_matrix_reference-00057.vtu

description: :unav
DOI: 10.18419/darus-862/37
title: case1_single_tracer_matrix_reference-00038.vtu

description: :unav
DOI: 10.18419/darus-862/38
title: case1_single_tracer_fracture_reference-00011.vtu

description: :unav
DOI: 10.18419/darus-862/39
title: case1_single_tracer_matrix_reference-00096.vtu

description: :unav
DOI: 10.18419/darus-862/42
title: case1_single_tracer_fracture_reference-00059.vtu

description: :unav
DOI: 10.18419/darus-862/43
title: case1_single_tracer_fracture_reference-00053.vtu

description: :unav
DOI: 10.18419/darus-862/44
title: case1_single_tracer_fracture_reference-00094.vtu

description: :unav
DOI: 10.18419/darus-862/45
title: case1_single_tracer_fracture_reference-00066.vtu

description: :unav
DOI: 10.18419/darus-862/46
title: case1_single_tracer_fracture_reference-00056.vtu

description: :unav
DOI: 10.18419/darus-862/47
title: case1_single_tracer_matrix_reference-00046.vtu

description: :unav
DOI: 10.18419/darus-862/48
title: case1_single_tracer_fracture_reference-00037.vtu

description: :unav
DOI: 10.18419/darus-862/50
title: case1_single_onep_matrix_reference-00000.vtu

description: :unav
DOI: 10.18419/darus-862/51
title: case1_single_tracer_matrix_reference-00072.vtu

description: :unav
DOI: 10.18419/darus-862/52
title: case1_single_tracer_matrix_reference-00067.vtu

description: :unav
DOI: 10.18419/darus-862/53
title: case1_single_tracer_matrix_reference-00066.vtu

description: :unav
DOI: 10.18419/darus-862/54
title: case1_single_tracer_fracture_reference-00023.vtu

description: :unav
DOI: 10.18419/darus-862/55
title: case1_single_tracer_fracture_reference-00020.vtu

description: :unav
DOI: 10.18419/darus-862/57
title: case1_single_tracer_fracture_reference-00017.vtu

description: :unav
DOI: 10.18419/darus-862/58
title: case1_single_tracer_fracture_reference-00042.vtu

description: :unav
DOI: 10.18419/darus-862/59
title: case1_single_tracer_matrix_reference-00035.vtu

description: :unav
DOI: 10.18419/darus-862/61
title: case1_single_tracer_fracture_reference-00047.vtu

description: :unav
DOI: 10.18419/darus-862/62
title: case1_single_tracer_fracture_reference-00087.vtu

description: :unav
DOI: 10.18419/darus-862/63
title: case1_single_tracer_fracture_reference-00097.vtu

description: :unav
DOI: 10.18419/darus-862/64
title: case1_single_tracer_fracture_reference-00092.vtu

description: :unav
DOI: 10.18419/darus-862/65
title: case1_single_tracer_matrix_reference-00033.vtu

description: :unav
DOI: 10.18419/darus-862/66
title: dataovertime_reference.tab

description: Contains the concentration results over time, as specified in Section 4.1 of the related publication.
DOI: 10.18419/darus-862/67
title: case1_single_tracer_matrix_reference-00083.vtu

description: :unav
DOI: 10.18419/darus-862/68
title: case1_single_tracer_matrix_reference-00078.vtu

description: :unav
DOI: 10.18419/darus-862/69
title: case1_single_tracer_fracture_reference-00008.vtu

description: :unav
DOI: 10.18419/darus-862/70
title: case1_single_tracer_matrix_reference-00035.vtu

description: :unav
DOI: 10.18419/darus-862/71
title: case1_single_tracer_matrix_reference-00044.vtu

description: :unav
DOI: 10.18419/darus-862/72
title: case1_single_onep_matrix_reference.pvd

description: Reference solution for the pressure in the matrix. Computed with the mpfa scheme on the grid single_500k.msh contained in this dataset.
DOI: 10.18419/darus-862/73
title: case1_single_tracer_matrix_reference-00092.vtu

description: :unav
DOI: 10.18419/darus-862/74
title: case1_single_tracer_fracture_reference-00029.vtu

description: :unav
DOI: 10.18419/darus-862/75
title: case1_single_tracer_fracture_reference-00025.vtu

description: :unav
DOI: 10.18419/darus-862/76
title: case1_single_tracer_matrix_reference-00063.vtu

description: :unav
DOI: 10.18419/darus-862/77
title: case1_single_tracer_fracture_reference-00006.vtu

description: :unav
DOI: 10.18419/darus-862/78
title: case1_single_tracer_fracture_reference-00013.vtu

description: :unav
DOI: 10.18419/darus-862/79
title: case1_single_tracer_matrix_reference-00020.vtu

description: :unav
DOI: 10.18419/darus-862/81
title: case1_single_tracer_fracture_reference-00018.vtu

description: :unav
DOI: 10.18419/darus-862/82
title: case1_single_tracer_matrix_reference-00040.vtu

description: :unav
DOI: 10.18419/darus-862/83
title: case1_single_tracer_matrix_reference-00083.vtu

description: :unav
DOI: 10.18419/darus-862/85
title: case1_single_tracer_matrix_reference-00012.vtu

description: :unav
DOI: 10.18419/darus-862/86
title: case1_single_tracer_matrix_reference-00055.vtu

description: :unav
DOI: 10.18419/darus-862/87
title: case1_single_tracer_fracture_reference-00040.vtu

description: :unav
DOI: 10.18419/darus-862/89
title: case1_single_tracer_matrix_reference-00015.vtu

description: :unav
DOI: 10.18419/darus-862/90
title: case1_single_tracer_matrix_reference-00074.vtu

description: :unav
DOI: 10.18419/darus-862/91
title: case1_single_tracer_fracture_reference-00081.vtu

description: :unav
DOI: 10.18419/darus-862/92
title: case1_single_tracer_fracture_reference-00042.vtu

description: :unav
DOI: 10.18419/darus-862/93
title: case1_single_tracer_matrix_reference-00006.vtu

description: :unav
DOI: 10.18419/darus-862/94
title: case1_single_tracer_fracture_reference-00031.vtu

description: :unav
DOI: 10.18419/darus-862/95
title: case1_single_tracer_fracture_reference-00024.vtu

description: :unav
DOI: 10.18419/darus-862/97
title: case1_single_tracer_fracture_reference-00052.vtu

description: :unav
DOI: 10.18419/darus-862/98
title: case1_single_tracer_matrix_reference-00019.vtu

description: :unav
DOI: 10.18419/darus-862/99
title: case1_single_tracer_matrix_reference-00081.vtu

description: :unav
DOI: 10.25345/c5mf3q
title: MassIVE MSV000086190 - Proteome of Panstrongylus megistus digestive tract
title: Panstrongylus megistus are insect triatomines and vectors of the protozoan Trypanosoma cruzi responsible for human Chagas' disease. Considering that T. cruzi multiplies inside the triatomine digestive tract (TDT), the analysis of the TDT protein profile is an essential step to understand TDT physiology during T. cruzi infection. To characterize the protein profile of TDT of P. megistus, a shotgun liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach was applied in this report.
DOI: 10.6084/m9.figshare.9885575
title: Ferroxidase assay data on Rru_EncFtn and Rru_Enc:EncFtn proteins

description: 1st and 2nd Excel tabs:<b>Ferroxidase activity of Rru_A0973 (with or without Zn(II) and A0974/A0973 encapsulated ferritins.</b>Ferroxidase assays (average, standard deviation, n &gt;=3) performed on on Rru_A0974/A0973 (wild-type and E31A, E34A, W38A variants) and Rru_A0973 (wild-type and E31A, E34A, W38A, E31A/E34A) proteins in the presence of 50 uM Fe(II).A0973 concentration was kept at 10 uM in both data sets.Protein sample was incubated with 50 μM FeSO<sub>4</sub>.7H<sub>2</sub>O (10 times molar equivalent Fe(II) per FOC) and progress curves of the oxidation of Fe(II) to Fe(III) was monitored at 315 nm at room temperature. The background oxidation of iron at 50 μM in enzyme-free control is shown for reference (dotted grey line). Solid lines represent the average (n = 3) of technical replicates, shaded areas represent standard deviation from the mean. Protein and iron samples were prepared anaerobically in Buffer H (10 mM HEPES pH 8.0, 150 mM NaCl), and 0.1 % (v/v) HCl, respectively.<br>3rd Excel tab:<b>Linear Regression on first 200s of ferroxidase assays with Rru_A0973 and Rru_A0974/A0973. </b>Data from first 200 s of the assays described above were processed using the Linear Regression tool in GraphPad (Prism8) to determine <i>v</i><sub>0</sub>, initial enzymatic rate, from slope of each of the linear curves. Variants initial enzymatic rate (<i>v</i><sub>0</sub><sup>variant</sup>) calculated from linear regression curves in the first 200 s of ferroxidase assay experiments were divided by the slope calculated for the corresponding wild-type species (<i>v</i><sub>0</sub><sup>wild-type</sup>). <br><br>4th Excel tab<b>Linear Regression on first 10 s of ferroxidase assays with A0973_E31A and A0974/A0973_E31A.</b>Data from first 10 s of the assays carried out with 10 μM Rru_A0973_E31A or Rru_A0974/A0973_E31A were processed using the Linear Regression tool in GraphPad (Prism8) to determine <i>v</i><sub>0</sub>, initial enzymatic rate, from slope of each of the linear curves.
DOI: 10.6084/m9.figshare.9885575.v2
title: Ferroxidase assay data on Rru_EncFtn and Rru_Enc:EncFtn proteins

description: 1st and 2nd Excel tabs:<b>Ferroxidase activity of Rru_A0973 (with or without Zn(II) and A0974/A0973 encapsulated ferritins.</b>Ferroxidase assays (average, standard deviation, n &gt;=3) performed on on Rru_A0974/A0973 (wild-type and E31A, E34A, W38A variants) and Rru_A0973 (wild-type and E31A, E34A, W38A, E31A/E34A) proteins in the presence of 50 uM Fe(II).A0973 concentration was kept at 10 uM in both data sets.Protein sample was incubated with 50 μM FeSO<sub>4</sub>.7H<sub>2</sub>O (10 times molar equivalent Fe(II) per FOC) and progress curves of the oxidation of Fe(II) to Fe(III) was monitored at 315 nm at room temperature. The background oxidation of iron at 50 μM in enzyme-free control is shown for reference (dotted grey line). Solid lines represent the average (n = 3) of technical replicates, shaded areas represent standard deviation from the mean. Protein and iron samples were prepared anaerobically in Buffer H (10 mM HEPES pH 8.0, 150 mM NaCl), and 0.1 % (v/v) HCl, respectively.<br>3rd Excel tab:<b>Linear Regression on first 200s of ferroxidase assays with Rru_A0973 and Rru_A0974/A0973. </b>Data from first 200 s of the assays described above were processed using the Linear Regression tool in GraphPad (Prism8) to determine <i>v</i><sub>0</sub>, initial enzymatic rate, from slope of each of the linear curves. Variants initial enzymatic rate (<i>v</i><sub>0</sub><sup>variant</sup>) calculated from linear regression curves in the first 200 s of ferroxidase assay experiments were divided by the slope calculated for the corresponding wild-type species (<i>v</i><sub>0</sub><sup>wild-type</sup>). <br><br>4th Excel tab<b>Linear Regression on first 10 s of ferroxidase assays with A0973_E31A and A0974/A0973_E31A.</b>Data from first 10 s of the assays carried out with 10 μM Rru_A0973_E31A or Rru_A0974/A0973_E31A were processed using the Linear Regression tool in GraphPad (Prism8) to determine <i>v</i><sub>0</sub>, initial enzymatic rate, from slope of each of the linear curves.
DOI: 10.6084/m9.figshare.9885575.v1
title: Ferroxidase assay data on Rru_A0974/A0973 and Rru_A0973 proteins

description: 1st and 2nd Excel tabs:<b>Ferroxidase activity of Rru_A0973 (with or without Zn(II) and A0974/A0973 encapsulated ferritins.</b>Ferroxidase assays (average, standard deviation, n &gt;=3) performed on on Rru_A0974/A0973 (wild-type and E31A, E34A, W38G variants) and Rru_A0973 (wild-type and E31A, E34A, W38A, E31A/E34A) proteins in the presence of 50 uM Fe(II).A0973 concentration was kept at 10 uM in both data sets.Protein sample was incubated with 50 μM FeSO<sub>4</sub>.7H<sub>2</sub>O (10 times molar equivalent Fe(II) per FOC) and progress curves of the oxidation of Fe(II) to Fe(III) was monitored at 315 nm at room temperature. The background oxidation of iron at 50 μM in enzyme-free control is shown for reference (dotted grey line). Solid lines represent the average (n = 3) of technical replicates, shaded areas represent standard deviation from the mean. Protein and iron samples were prepared anaerobically in Buffer H (10 mM HEPES pH 8.0, 150 mM NaCl), and 0.1 % (v/v) HCl, respectively.<br>3rd Excel tab:<b>Linear Regression on first 200s of ferroxidase assays with Rru_A0973 and Rru_A0974/A0973. </b>Data from first 200 s of the assays described above were processed using the Linear Regression tool in GraphPad (Prism8) to determine <i>v</i><sub>0</sub>, initial enzymatic rate, from slope of each of the linear curves. Variants initial enzymatic rate (<i>v</i><sub>0</sub><sup>variant</sup>) calculated from linear regression curves in the first 200 s of ferroxidase assay experiments were divided by the slope calculated for the corresponding wild-type species (<i>v</i><sub>0</sub><sup>wild-type</sup>). <br><br>4th Excel tab<b>Linear Regression on first 10 s of ferroxidase assays with A0973_E31A and A0974/A0973_E31A.</b>Data from first 10 s of the assays carried out with 10 μM Rru_A0973_E31A or Rru_A0974/A0973_E31A were processed using the Linear Regression tool in GraphPad (Prism8) to determine <i>v</i><sub>0</sub>, initial enzymatic rate, from slope of each of the linear curves.
DOI: 10.6084/m9.figshare.9885557
title: Akta traces of Size exclusion chromatography purification step for Rru_EncFtn and Rru_Enc:EncFtn proteins

description: Normalised Akta traces of Size exclusion chromatography purification step for Rru_A0973 (wild-type and E31A, E34A, W38A variants) and Rru_A0974/A0973 (wild-type and E31A, E34A, W38G variants) proteins.
DOI: 10.6084/m9.figshare.9885557.v3
title: Akta traces of Size exclusion chromatography purification step for Rru_EncFtn and Rru_Enc:EncFtn proteins

description: Normalised Akta traces of Size exclusion chromatography purification step for Rru_A0973 (wild-type and E31A, E34A, W38A variants) and Rru_A0974/A0973 (wild-type and E31A, E34A, W38G variants) proteins.