cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5218907
title: A Metamorphic Origin for Europa's Ocean - Supplementary Data Files

description: <strong>A Metamorphic Origin for Europa's Ocean - Supplementary Data Files</strong><br> M. Melwani Daswani, S. D. Vance, M. J. Mayne, and C. R. Glein<br> Jet Propulsion Laboratory, California Institute of Technology<br> daswani@jpl.nasa.gov 2021-08-18 This folder contains the Supplementary Data files consisting of input data and output data products. The paper is accepted in Geophysical Research Letters. A preprint may be found here: https://doi.org/10.1002/essoar.10507048.1, but please see the article on Geophysical Research Letters for the properly formatted, peer-reviewed, revised version. <strong>Contents:</strong> <strong>AccretR Europa MC-Scale composition output.xlsx</strong><br> Contains the composition of Europa after accretion, obtained by running the AccretR program. AccretR can be found on Zenodo: https://doi.org/10.5281/zenodo.3827540 or GitHub (most up to date): https://github.com/mmelwani/AccretR <br> <strong>Fe-S core composition models</strong><br> Contains the Perple_X input and output files for constraining the composition of the Fe+-S core. Thermodynamic data used was from Saxena and Eriksson (2015), also included as a Perple_X thermodynamic file. <br> <strong>Rcrust prograde metamorphism models</strong><br> Contains the input and output files for the Rcrust models, which are the metamorphic prograde path thermodynamic. Rcrust is required to run these models<br> (http://www.sun.ac.za/english/faculty/science/earthsciences/rcrust), as well as the "meemum" program from Perple_X (https://www.perplex.ethz.ch/). The Perple_X version used was "6.8.7", and was compiled from source to enable 12 thermodynamic components (i.e. major elements). <br> <strong>CHIM-XPT ocean column composition models</strong><br> Contains the CHIM-XPT input and output files, which model the ocean composition from seafloor to surface, including precipitated minerals, aqueous solutes and saturated gases. Inputs for these models were the fluids extracted from the Rcrust prograde metamorphic models. <strong>Density and volume of clathrates.xlsx</strong><br> Shows the calculations carried out to find the temperature, density and volume of CO2 clathrates in Europa's ocean.
DOI: 10.6084/m9.figshare.15226248
title: Recogemos y organizamos datos sobre la discriminacion en la comunidad_oficial.pptx

description: Investigación por parte de los estudiantes de Fe y Alegría N ° 1 del 4to de secundaria, en donde se encuesto a ciudadanos del distrito de San Martín de Porres, en departamento de Lima, Perú.<br>
DOI: 10.6084/m9.figshare.15226248.v2
title: Recogemos y organizamos datos sobre la discriminacion en la comunidad_oficial.pptx

description: Investigación por parte de los estudiantes de Fe y Alegría N ° 1 del 4to de secundaria, en donde se encuesto a ciudadanos del distrito de San Martín de Porres, en departamento de Lima, Perú.<br>
DOI: 10.6084/m9.figshare.15226248.v1
title: Recogemos y organizamos datos sobre la discriminacion en la comunidad_oficial.pptx

description: Investigación por parte de los estudiantes de Fe y Alegría N ° 1 del 4to de secundaria, en donde se encuesto a ciudadanos del distrito de San Martín de Porres, en departamento de Lima, Perú.<br>
DOI: 10.5517/ccdc.csd.cc27p8dm
title: CCDC 2076020: Experimental Crystal Structure Determination

description: Related Article: Lili Gao, Xiaotong Li, Boubacar Traoré, Yalan Zhang, Junjie Fang, Yu Han, Jacky Even, Claudine Katan, Kui Zhao, Shengzhong Liu, Mercouri G. Kanatzidis|2021|J.Am.Chem.Soc.|143|12063|doi:10.1021/jacs.1c03687
DOI: 10.5517/ccdc.csd.cc27xw57
title: CCDC 2083329: Experimental Crystal Structure Determination

description: Related Article: Mert Olgun Karataş, Bülent Alıcı, Vincenzo Passarelli, Ismail Özdemir, Jesús J. Pérez-Torrente, Ricardo Castarlenas|2021|Dalton Trans.|50|11206|doi:10.1039/D1DT01946E
DOI: 10.5517/ccdc.csd.cc27xw68
title: CCDC 2083330: Experimental Crystal Structure Determination

description: Related Article: Mert Olgun Karataş, Bülent Alıcı, Vincenzo Passarelli, Ismail Özdemir, Jesús J. Pérez-Torrente, Ricardo Castarlenas|2021|Dalton Trans.|50|11206|doi:10.1039/D1DT01946E
DOI: 10.5517/ccdc.csd.cc27ygl8
title: CCDC 2083900: Experimental Crystal Structure Determination

description: Related Article: Purva Chibde, Ravindra K. Raut, Vikas Kumar, Rahul Deb, Rajesh Gonnade, Moumita Majumdar|2021|Chem.Asian J.|16|2118|doi:10.1002/asia.202100523
DOI: 10.5517/ccdc.csd.cc27ygm9
title: CCDC 2083901: Experimental Crystal Structure Determination

description: Related Article: Purva Chibde, Ravindra K. Raut, Vikas Kumar, Rahul Deb, Rajesh Gonnade, Moumita Majumdar|2021|Chem.Asian J.|16|2118|doi:10.1002/asia.202100523
DOI: 10.5517/ccdc.csd.cc27ygnb
title: CCDC 2083902: Experimental Crystal Structure Determination

description: Related Article: Purva Chibde, Ravindra K. Raut, Vikas Kumar, Rahul Deb, Rajesh Gonnade, Moumita Majumdar|2021|Chem.Asian J.|16|2118|doi:10.1002/asia.202100523
DOI: 10.5517/ccdc.csd.cc27ygpc
title: CCDC 2083903: Experimental Crystal Structure Determination

description: Related Article: Purva Chibde, Ravindra K. Raut, Vikas Kumar, Rahul Deb, Rajesh Gonnade, Moumita Majumdar|2021|Chem.Asian J.|16|2118|doi:10.1002/asia.202100523
DOI: 10.5517/ccdc.csd.cc27ygqd
title: CCDC 2083904: Experimental Crystal Structure Determination

description: Related Article: Purva Chibde, Ravindra K. Raut, Vikas Kumar, Rahul Deb, Rajesh Gonnade, Moumita Majumdar|2021|Chem.Asian J.|16|2118|doi:10.1002/asia.202100523
DOI: 10.5517/ccdc.csd.cc27zr11
title: CCDC 2085123: Experimental Crystal Structure Determination

description: Related Article: Gilbert Umuhire Mahoro, Elisa Fresta, Margaux Elie, Davide di Nasso, Qi Zhang, Jean-François Lohier, Jean-Luc Renaud, Mathieu Linares, Reinhold Wannemacher, Juan Cabanillas-Gonzalez, Rubén D. Costa, Sylvain Gaillard|2021|Dalton Trans.|50|11049|doi:10.1039/D1DT01689J
DOI: 10.5517/ccdc.csd.cc27zr22
title: CCDC 2085124: Experimental Crystal Structure Determination

description: Related Article: Gilbert Umuhire Mahoro, Elisa Fresta, Margaux Elie, Davide di Nasso, Qi Zhang, Jean-François Lohier, Jean-Luc Renaud, Mathieu Linares, Reinhold Wannemacher, Juan Cabanillas-Gonzalez, Rubén D. Costa, Sylvain Gaillard|2021|Dalton Trans.|50|11049|doi:10.1039/D1DT01689J
DOI: 10.5517/ccdc.csd.cc27zr33
title: CCDC 2085125: Experimental Crystal Structure Determination

description: Related Article: Gilbert Umuhire Mahoro, Elisa Fresta, Margaux Elie, Davide di Nasso, Qi Zhang, Jean-François Lohier, Jean-Luc Renaud, Mathieu Linares, Reinhold Wannemacher, Juan Cabanillas-Gonzalez, Rubén D. Costa, Sylvain Gaillard|2021|Dalton Trans.|50|11049|doi:10.1039/D1DT01689J
DOI: 10.5517/ccdc.csd.cc27zr44
title: CCDC 2085126: Experimental Crystal Structure Determination

description: Related Article: Gilbert Umuhire Mahoro, Elisa Fresta, Margaux Elie, Davide di Nasso, Qi Zhang, Jean-François Lohier, Jean-Luc Renaud, Mathieu Linares, Reinhold Wannemacher, Juan Cabanillas-Gonzalez, Rubén D. Costa, Sylvain Gaillard|2021|Dalton Trans.|50|11049|doi:10.1039/D1DT01689J
DOI: 10.5517/ccdc.csd.cc27zr55
title: CCDC 2085127: Experimental Crystal Structure Determination

description: Related Article: Gilbert Umuhire Mahoro, Elisa Fresta, Margaux Elie, Davide di Nasso, Qi Zhang, Jean-François Lohier, Jean-Luc Renaud, Mathieu Linares, Reinhold Wannemacher, Juan Cabanillas-Gonzalez, Rubén D. Costa, Sylvain Gaillard|2021|Dalton Trans.|50|11049|doi:10.1039/D1DT01689J
DOI: 10.5517/ccdc.csd.cc27zr66
title: CCDC 2085128: Experimental Crystal Structure Determination

description: Related Article: Gilbert Umuhire Mahoro, Elisa Fresta, Margaux Elie, Davide di Nasso, Qi Zhang, Jean-François Lohier, Jean-Luc Renaud, Mathieu Linares, Reinhold Wannemacher, Juan Cabanillas-Gonzalez, Rubén D. Costa, Sylvain Gaillard|2021|Dalton Trans.|50|11049|doi:10.1039/D1DT01689J
DOI: 10.5517/ccdc.csd.cc27zr77
title: CCDC 2085129: Experimental Crystal Structure Determination

description: Related Article: Gilbert Umuhire Mahoro, Elisa Fresta, Margaux Elie, Davide di Nasso, Qi Zhang, Jean-François Lohier, Jean-Luc Renaud, Mathieu Linares, Reinhold Wannemacher, Juan Cabanillas-Gonzalez, Rubén D. Costa, Sylvain Gaillard|2021|Dalton Trans.|50|11049|doi:10.1039/D1DT01689J
DOI: 10.5517/ccdc.csd.cc280jg9
title: CCDC 2085880: Experimental Crystal Structure Determination

description: Related Article: Nattiya Laiwattanapaisarn, Arnut Virachotikul, Khamphee Phomphrai|2021|Dalton Trans.|50|11039|doi:10.1039/D1DT01903A
DOI: 10.5517/ccdc.csd.cc280stx
title: CCDC 2086139: Experimental Crystal Structure Determination

description: Related Article: Zi-Yao Zhou, Chen-Yi Ge, Miao Jiang, Jin-Le Hou, Qin-Yu Zhu, Jie Dai|2021|Dalton Trans.|50|11091|doi:10.1039/D1DT01805A
DOI: 10.5517/ccdc.csd.cc280svy
title: CCDC 2086140: Experimental Crystal Structure Determination

description: Related Article: Zi-Yao Zhou, Chen-Yi Ge, Miao Jiang, Jin-Le Hou, Qin-Yu Zhu, Jie Dai|2021|Dalton Trans.|50|11091|doi:10.1039/D1DT01805A
DOI: 10.5517/ccdc.csd.cc280swz
title: CCDC 2086141: Experimental Crystal Structure Determination

description: Related Article: Zi-Yao Zhou, Chen-Yi Ge, Miao Jiang, Jin-Le Hou, Qin-Yu Zhu, Jie Dai|2021|Dalton Trans.|50|11091|doi:10.1039/D1DT01805A
DOI: 10.5517/ccdc.csd.cc286kqs
title: CCDC 2091685: Experimental Crystal Structure Determination

description: Related Article: Pierre Thuéry, Jack Harrowfield|2021|Dalton Trans.|50|11021|doi:10.1039/D1DT02232F
DOI: 10.6084/m9.figshare.15231312.v1
title: ANEXO - Matriz de Información.xlsx

description: Matriz de información sobre una revisión sistemática de estudios del ciclo del P en suelos.
DOI: 10.6084/m9.figshare.15231312
title: ANEXO - Matriz de Información.xlsx

description: Matriz de información sobre una revisión sistemática de estudios del ciclo del P en suelos.
DOI: 10.7910/dvn/0ifa07
title: Supplementary Material

description: Supplementary Material Spaans et al 2021
DOI: 10.6084/m9.figshare.15231849
title: Conjectures on British Econ Surplus, Cap Stock, Investment, Deficits--Data created by author and other data.xlsx

description: Data to accompany paper by same name. <br>
DOI: 10.6084/m9.figshare.15231849.v1
title: Conjectures on British Econ Surplus, Cap Stock, Investment, Deficits--Data created by author and other data.xlsx

description: Data to accompany paper by same name. <br>
DOI: 10.6084/m9.figshare.15127797
title: Desert v. Vinegar Flies: Eye Allometry

description: Instructions needed to generate the statistics and figures used in Eye Allometry results:<br><br>Make sure Python 3.6+ and the following Python packages are installed (try pip):<br> -matplotlib<br> -numpy<br> -pandas<br> -pickle<br> -scikit-image<br> -scipy<br> -seaborn<br> -statsmodels-eye_tools (from https://github.com/jpcurrea/eye_tools.git)<br><br>A. Plot figures and calculate important statistics:<br>In the terminal, cd to the downloaded folder and run the following:<br> ~! python3 plot.py<br>Running this script produces the following image files:<br> -eye_composition.png<br> -eye_composition.svg<br> -eye_shape.png<br> -eye_shape.svg<br> -fields_of_view.png<br> -fields_of_view.svg<br> -optical_performance.png<br> -optical_performance.svg<br><br>We've also already saved the following files:<br> -stats.txt: allometric statistics collated by measurement<br> -stats.csv: allometric statistics used for table<br><br>B. To generate the allometric data from scratch:<br>1. unzip image_stacks.zip, creating a folder of the same name<br>2. run the following:<br> ~! python3 analysis.py<br>Running this script produces the following:<br> -allometry_data.csv: readable measurements dataframe<br> -allometry_data.pkl: pickled measurements dataframe<br>3. to plot the data, running process A. above.<br>C. To generate Supplemental Figure 2, cd to the downloaded folder and run the following:<br> ~! python3 plot_demo.py<br><br>
DOI: 10.6084/m9.figshare.15127797.v3
title: Desert v. Vinegar Flies: Eye Allometry

description: Instructions needed to generate the statistics and figures used in Eye Allometry results:<br><br>Make sure Python 3.6+ and the following Python packages are installed (try pip):<br> -matplotlib<br> -numpy<br> -pandas<br> -pickle<br> -scikit-image<br> -scipy<br> -seaborn<br> -statsmodels-eye_tools (from https://github.com/jpcurrea/eye_tools.git)<br><br>A. Plot figures and calculate important statistics:<br>In the terminal, cd to the downloaded folder and run the following:<br> ~! python3 plot.py<br>Running this script produces the following image files:<br> -eye_composition.png<br> -eye_composition.svg<br> -eye_shape.png<br> -eye_shape.svg<br> -fields_of_view.png<br> -fields_of_view.svg<br> -optical_performance.png<br> -optical_performance.svg<br><br>We've also already saved the following files:<br> -stats.txt: allometric statistics collated by measurement<br> -stats.csv: allometric statistics used for table<br><br>B. To generate the allometric data from scratch:<br>1. unzip image_stacks.zip, creating a folder of the same name<br>2. run the following:<br> ~! python3 analysis.py<br>Running this script produces the following:<br> -allometry_data.csv: readable measurements dataframe<br> -allometry_data.pkl: pickled measurements dataframe<br>3. to plot the data, running process A. above.<br>C. To generate Supplemental Figure 2, cd to the downloaded folder and run the following:<br> ~! python3 plot_demo.py<br><br>
DOI: 10.6084/m9.figshare.15127797.v2
title: Desert v. Vinegar Flies: Eye Allometry

description: Instructions needed to generate the statistics and figures used in Eye Allometry results:<br><br>Make sure Python 3.6+ and the following Python packages are installed (try pip):<br> -matplotlib<br> -numpy<br> -pandas<br> -pickle<br> -scikit-image<br> -scipy<br> -seaborn<br> -statsmodels-eye_tools (from https://github.com/jpcurrea/eye_tools.git)<br><br>A. Plot figures and calculate important statistics:<br>In the terminal, cd to the downloaded folder and run the following:<br> ~! python3 plot.py<br>Running this script produces the following image files:<br> -eye_composition.png<br> -eye_composition.svg<br> -eye_shape.png<br> -eye_shape.svg<br> -fields_of_view.png<br> -fields_of_view.svg<br> -optical_performance.png<br> -optical_performance.svg<br><br>We've also already saved the following files:<br> -stats.txt: allometric statistics collated by measurement<br> -stats.csv: allometric statistics used for table<br><br>B. To generate the allometric data from scratch:<br>1. unzip image_stacks.zip, creating a folder of the same name<br>2. run the following:<br> ~! python3 analysis.py<br>Running this script produces the following:<br> -allometry_data.csv: readable measurements dataframe<br> -allometry_data.pkl: pickled measurements dataframe<br>3. to plot the data, running process A. above.<br>C. To generate Supplemental Figure 2, cd to the downloaded folder and run the following:<br> ~! python3 plot_demo.py<br><br>
DOI: 10.6084/m9.figshare.15233352
title: Fig_3B_raw_data.xlsx

description: Figure 3B raw data
DOI: 10.6084/m9.figshare.15233352.v1
title: Fig_3B_raw_data.xlsx

description: Figure 3B raw data
DOI: 10.6084/m9.figshare.15233364.v1
title: Fig_3D_raw_data.xlsx

description: Figure 3D raw data
DOI: 10.6084/m9.figshare.15233364
title: Fig_3D_raw_data.xlsx

description: Figure 3D raw data
DOI: 10.6084/m9.figshare.15233367
title: Fig_3C_raw_data.xlsx

description: Figure 3C raw data
DOI: 10.6084/m9.figshare.15233367.v1
title: Fig_3C_raw_data.xlsx

description: Figure 3C raw data
DOI: 10.6084/m9.figshare.15233361.v1
title: Fig_2E_raw_data.xlsx

description: Figure 2E raw data
DOI: 10.6084/m9.figshare.15233361
title: Fig_2E_raw_data.xlsx

description: Figure 2E raw data
DOI: 10.6084/m9.figshare.15233346
title: Fig_1C_raw_data.xlsx

description: Figue 1C raw data
DOI: 10.6084/m9.figshare.15233346.v1
title: Fig_1C_raw_data.xlsx

description: Figue 1C raw data
DOI: 10.6084/m9.figshare.15233349
title: Fig_2C_raw_data.xlsx

description: Figure 2C raw data
DOI: 10.6084/m9.figshare.15233349.v1
title: Fig_2C_raw_data.xlsx

description: Figure 2C raw data
DOI: 10.6084/m9.figshare.15233355
title: Fig_2A_raw_data.xlsx

description: Figure 2A raw data
DOI: 10.6084/m9.figshare.15233355.v1
title: Fig_2A_raw_data.xlsx

description: Figure 2A raw data
DOI: 10.6084/m9.figshare.15233358
title: Fig_2D_raw_data.xlsx

description: Figure 2D raw data
DOI: 10.6084/m9.figshare.12547250.v1
title: Data from: Genetic structure and population demography of white-spotted charr in the upstream watershed of a large dam

description: <b>Sequence data generated in the study</b>"salvelinus_leucomaesis_raw.zip"<br><b>Individual list of white-spotted charr</b>"sample_list.xlsx"<br>Data is also available at the DDBJ Sequence Read Archive (Accession no. DRA011248)<br>
DOI: 10.6084/m9.figshare.12547250
title: Data from: Genetic structure and population demography of white-spotted charr in the upstream watershed of a large dam

description: <b>Sequence data generated in the study</b>"salvelinus_leucomaesis_raw.zip"<br><b>Individual list of white-spotted charr</b>"sample_list.xlsx"<br>Data is also available at the DDBJ Sequence Read Archive (Accession no. DRA011248)<br>
DOI: 10.5517/ccdc.csd.cc27tmxm
title: CCDC 2080221: Experimental Crystal Structure Determination

description: Related Article: T.E. Gorelik, S. Habermehl, A.A. Shubin, T. Gruene, K. Yoshida, P. Oleynikov, U. Kaiser, M.U. Schmidt|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|662|doi:10.1107/S2052520621006806
DOI: 10.17632/s4y5hgm7xt.1
title: Logan, Simon et al-2021-LC/MS Dataset

description: Annotated raw LC/MS data files for Figures 1, 5, and 6, and Supplemental Figure 1, in Logan, Simon et al, 2021 Manuscript.
DOI: 10.17632/jm5nz22w9w.1
title: NUTRITIONAL DEFICIENCY CONTRIBUTING TO REFRACTORY ERYTHRODERMA IN HEMATOPOETIC CELL TRANSPLANT PATIENTS: DISTINCTIVE CLINICAL AND HISTOPATHOLOGICAL FINDINGS

description: Supplemental information for NUTRITIONAL DEFICIENCY CONTRIBUTING TO REFRACTORY ERYTHRODERMA IN HEMATOPOETIC CELL TRANSPLANT PATIENTS: DISTINCTIVE CLINICAL AND HISTOPATHOLOGICAL FINDINGS SUPPLEMENTARY FIGURE 1. Resolution of cutaneous manifestations of mixed nutritional deficiency after supplementation. SUPPLEMENTARY TABLE 1. Characterization of four additional cases
DOI: 10.17632/tw35dgpk67.1
title: A Bacterial Bile Acid Metabolite Modulates Treg Activity through the Nuclear Hormone Receptor NR4A1. Li, Hang, et al.

description: Spectral data for all synthesized compounds, 3-oxoalloLCA, 3-oxo-4Δ-LCA, 4Δ-isoLCA.
DOI: 10.6084/m9.figshare.14745327
title: Electronic and phonon density of states

description: Using OptB88vdW Linear optics and Finite difference based gamma point phonons for conventional cells for elastic constants.
DOI: 10.6084/m9.figshare.14745327.v2
title: Electronic and phonon density of states

description: Using OptB88vdW Linear optics and Finite difference based gamma point phonons for conventional cells for elastic constants.
DOI: 10.5281/zenodo.5218850
title: Effect of Antibiotic Pretreatment on Bacterial Engraftment after Fecal Microbiota Transplant (FMT) in IBS-D

description: Fecal microbiota transplantation (FMT) is an attractive strategy to correct microbial dysbiosis in diarrhea-predominant irritable bowel syndrome (IBS-D). Although the mechanism of FMT is thought to be bacterial engraftment, the best approach to achieve engraftment after FMT in IBS-D (and other diseases) is not clear. We evaluated the effect of FMT (with or without pretreatment with antibiotics) on gut microbiome and symptoms in patients with IBS-D. In this randomized, placebo-controlled, single-center study, 44 patients with IBS-D with a least moderate severity (IBS severity scoring system i.e. IBS-SSS, ≥ 175) were randomly assigned to one of four groups: single-dose oral FMT alone, single-dose oral FMT following a 7-day pretreatment course of Ciprofloxacin and Metronidazole (CM-FMT) or Rifaximin (R-FMT), or Placebo FMT. Primary endpoint was engraftment post-FMT at week 10 and secondary endpoints were changes in IBS-SSS, and IBS-quality of life (IBS- QOL) at week 10. Median engraftment was significantly different among the three FMT groups (P=0.013). Engraftment post-FMT was significantly higher in the FMT alone arm (15.5%) compared to that in R-FMT group (5%, P=0.04) and CM-FMT group (2.4%, P=0.002). The mean change in IBS-SSS and IBS-QOL from baseline were not significantly different among the four groups or between the three FMT groups combined vs. placebo at week 10. In summary, antibiotic pretreatment significantly reduced bacterial engraftment after FMT in patients with IBS-D.
DOI: 10.5281/zenodo.5218849
title: Effect of Antibiotic Pretreatment on Bacterial Engraftment after Fecal Microbiota Transplant (FMT) in IBS-D

description: Fecal microbiota transplantation (FMT) is an attractive strategy to correct microbial dysbiosis in diarrhea-predominant irritable bowel syndrome (IBS-D). Although the mechanism of FMT is thought to be bacterial engraftment, the best approach to achieve engraftment after FMT in IBS-D (and other diseases) is not clear. We evaluated the effect of FMT (with or without pretreatment with antibiotics) on gut microbiome and symptoms in patients with IBS-D. In this randomized, placebo-controlled, single-center study, 44 patients with IBS-D with a least moderate severity (IBS severity scoring system i.e. IBS-SSS, ≥ 175) were randomly assigned to one of four groups: single-dose oral FMT alone, single-dose oral FMT following a 7-day pretreatment course of Ciprofloxacin and Metronidazole (CM-FMT) or Rifaximin (R-FMT), or Placebo FMT. Primary endpoint was engraftment post-FMT at week 10 and secondary endpoints were changes in IBS-SSS, and IBS-quality of life (IBS- QOL) at week 10. Median engraftment was significantly different among the three FMT groups (P=0.013). Engraftment post-FMT was significantly higher in the FMT alone arm (15.5%) compared to that in R-FMT group (5%, P=0.04) and CM-FMT group (2.4%, P=0.002). The mean change in IBS-SSS and IBS-QOL from baseline were not significantly different among the four groups or between the three FMT groups combined vs. placebo at week 10. In summary, antibiotic pretreatment significantly reduced bacterial engraftment after FMT in patients with IBS-D.
DOI: 10.5281/zenodo.5219005
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6073/pasta/6f19d3e6e6bc609ad1aa57b853395f30
title: Talus Subsurface and Surface Temperature Data from Southwestern Montana, USA, 2010-2020

description: Between 2010 and 2020, temperature data loggers (HOBO, Onset Computer Corporation) were deployed in rocky ‘talus’ within territories of the American pika (Ochotona princeps) near active pika haypiles (food caches) at five sites within Gallatin Canyon and one site in the Crazy Mountains in the Custer-Gallatin National Forest near Bozeman, Montana. Data loggers were placed between 20 and 40 cm beneath the surface of the talus to measure subsurface temperatures. Four additional data loggers were paired with four of the subsurface data loggers at the Gallatin Canyon sites to collect ambient temperatures. Ambient temperature data loggers were placed near the subsurface data loggers, approximately two meters above the ground, on the trunk of a tree and in a plastic case to shade the data logger from direct sunlight. Data from ambient temperature loggers derive from files containing ‘AMB’ in the file name.
DOI: 10.6084/m9.figshare.15239199
title: MYH10 Amino Acid Knowledge Base

description: This file contains compiled analysis of MYH10 amino acids.
DOI: 10.6084/m9.figshare.15239199.v1
title: MYH10 Amino Acid Knowledge Base

description: This file contains compiled analysis of MYH10 amino acids.
DOI: 10.3886/e117206v1-94220
title: Data and Code for: "The New Tools of Monetary Policy"

description: This repository contains data and programs to replicate Tables 1-4 and footnote 18 found in Bernanke (2020) and Tables 5-7 in the Online Appendix. The repository also contains data and programs to run stochastic simulations of alternative monetary policies using the Fed's FRB/US model.