cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13535860.v1
title: Additional file 1 of Characterization of four virulent Klebsiella pneumoniae bacteriophages, and evaluation of their potential use in complex phage preparation

description: Additional file 1. Klebsiella pneumoniae strains classification.Legend. Classification was carried out with MALDI-TOF Microflex mass spectrometer and biochemical tests (MIKROLATEST) with further analysis on Multiskan Ascent spectrophotometer. Top hit from MALDI Biotyper Classification Results is presented.
DOI: 10.6084/m9.figshare.13535860
title: Additional file 1 of Characterization of four virulent Klebsiella pneumoniae bacteriophages, and evaluation of their potential use in complex phage preparation

description: Additional file 1. Klebsiella pneumoniae strains classification.Legend. Classification was carried out with MALDI-TOF Microflex mass spectrometer and biochemical tests (MIKROLATEST) with further analysis on Multiskan Ascent spectrophotometer. Top hit from MALDI Biotyper Classification Results is presented.
DOI: 10.6084/m9.figshare.13535921
title: An analytical model for lateral erosion from saltating bedload particle impacts

description: Here are my codes and dataset for the paper “<i>An analytical model for lateral erosion from saltating bedload particle impacts</i>”. <br>
DOI: 10.6084/m9.figshare.13535921.v1
title: An analytical model for lateral erosion from saltating bedload particle impacts

description: Here are my codes and dataset for the paper “<i>An analytical model for lateral erosion from saltating bedload particle impacts</i>”. <br>
DOI: 10.5281/zenodo.4422181
title: marinalaforgia/McL_Nat-Inv-Amplicon: First release of code and data

description: First release of data and code associated with preprint "Competitive outcomes between native and invasive plants are linked to shifts in the bacterial rhizosphere microbiome"
DOI: 10.6084/m9.figshare.13533112.v1
title: Additional file 10 of nanotatoR: a tool for enhanced annotation of genomic structural variants

description: Additional file 10: Supplementary Table S9. Variant annotation for DMD samples. Singleton samples CDMD_1003 and CDMD_1159 were analyzed with single DLE labeling and are shown in the SingleLabel_Solo tab. Singleton samples CDMD_1155, CDMD_1156, and CDMD_1187 were analyzed with dual enzyme labeling and are shown in the DualLabel_Solo tab. Mother proband dyads CDMD_1131, CDMD_1157, and CDMD_1163 were analyzed with dual enzyme labeling and are shown in the DualLabelDuo tab. The columns used for Table 1 are highlighted. Columns in each sheet of the workbook are either a direct output of SVcaller or appended by nanotatoR, as indicated in column 3 of the table in the first tab (“Legend S9”). Details about SVcaller columns are available at https://bionanogenomics.com/wp-content/uploads/2017/03/30041-SMAP-File-Format-Specification-Sheet.pdf .
DOI: 10.6084/m9.figshare.13536053.v1
title: rna-seq.xlsx

description: RNA seq after interference with Mll2 or Lsd1
DOI: 10.7910/dvn/rejstm
title: Replication Data for "Congressional Approval Responsible Party Government: The Role of Partisanship Ideology in Citizen Assessments of the Contemporary U.S. Congress"

description: This document contains the R scripts (.R) and R Data environments (.Rdata) necessary to replicate the analysis in "Congressional Approval Responsible Party Government: The Role of Partisanship Ideology in Citizen Assessments of the Contemporary U.S. Congress." Please note that the readme.txt file contains detailed descriptions of each R script and each R Data environments needed to replicate the manuscript analysis.
DOI: 10.25919/hj7a-h494
title: Spectral chemistry and decomposition characteristics of a range of organic amendments

description: Spectral chemistry (processed spectra and where relevant integrated regions), elemental analysis and respiration characteristics of 85 organic amendments incubated in a sand matrix. The samples comprise 50 composts, six manures, 10 plant residues and 19 biosolids. Samples were analysed by nuclear magnetic resonance (NMR), mid-infrared (MIR) and near-infrared (NIR) spectroscopy, as well as elemental analysis by dry combustion. Incubations were conducted in a sand matrix under controlled conditions for 18 months, with CO2 levels monitored and a double first-order exponential decay model fitted to produce four parameters (size of the fast [Cf] and slow [Cs] pools, and their modelled turnover rates [f and s respectively]). Collectively, these data were generated to understand how the chemical composition of organic amendments affects their decomposability. For full details see Baldock et al. (2021) Linking decomposition rates of soil organic amendments to their chemical composition. Soil Research
DOI: 10.5281/zenodo.4421982
title: Machine learning reactive mixing dataset-8

description: Reactive-mixing dataset-2.3 for machine learning analyses
description: For DIB article
DOI: 10.5281/zenodo.4421981
title: Machine learning reactive mixing dataset-8

description: Reactive-mixing dataset-2.3 for machine learning analyses
description: For DIB article
DOI: 10.6084/m9.figshare.13325330
title: Chloroquine and hydroxychloroquine provoke arrhythmias at concentrations higher than those clinically used to treat COVID-19. A simulation study

description: * Description of the Sample model code<br>Fortran Implementation of the cell model for the human ventricular action potentialThis cell model is used in the article 'Chloroquine and hydroxychloroquine provoke arrhythmiasat concentrations higher than those clinically used to treat COVID-19. A simulation study'by Jun-ichi Okada, Takashi Yoshinaga, Takumi Washio, Kohei Sawada, Seiryo Sugiura and Toshiaki Hisada<br>Programed by Jun-ichi OkadaEmail : okada@fc.u-tokyo.ac.jp<br>This cell model based on the models reported in the following articles.O'Hara, T., Virag, L., Varro, A. & Rudy, Y. PLoS Computational Biology. 7, e1002061 (2011).Dutta, S., Strauss, D., Colatsky, T. & Li, Z. 2016 Computing in Cardiology Conference (CinC). 2016: 869-872.ten Tusscher, K.H.W.J., Noble, D., Noble, P.J. & Panfilov, A.V. Am J Physiol. 286, H1573-H1589 (2004).<br>* Description of the ECG data<br>ECG4.out : Limb lead electrocardiogramColumn1:time[ms], Column2:I-lead[mV], Column3:II-lead[mV], Column4:III-lead[mV], Column5:aVR-lead[mV], Column6:aVL-lead[mV], Column7:aVF-lead[mV], Column8:VR-lead[mV], Column9:VL-lead[mV], Column10:VF-lead[mV]<br>ECG_chest.out : Precordial lead electrocardiogramColumn1:time[ms], Column2:V1-lead[mV], Column3:V2-lead[mV], Column4:V3-lead[mV], Column5:V4-lead[mV], Column6:V5-lead[mV], Column7:V6-lead[mV], Column8:Wilson central terminal[mV]<br><br>
DOI: 10.6084/m9.figshare.13325330.v1
title: Chloroquine and hydroxychloroquine provoke arrhythmias at concentrations higher than those clinically used to treat COVID-19. A simulation study

description: * Description of the Sample model code<br>Fortran Implementation of the cell model for the human ventricular action potentialThis cell model is used in the article 'Chloroquine and hydroxychloroquine provoke arrhythmiasat concentrations higher than those clinically used to treat COVID-19. A simulation study'by Jun-ichi Okada, Takashi Yoshinaga, Takumi Washio, Kohei Sawada, Seiryo Sugiura and Toshiaki Hisada<br>Programed by Jun-ichi OkadaEmail : okada@fc.u-tokyo.ac.jp<br>This cell model based on the models reported in the following articles.O'Hara, T., Virag, L., Varro, A. & Rudy, Y. PLoS Computational Biology. 7, e1002061 (2011).Dutta, S., Strauss, D., Colatsky, T. & Li, Z. 2016 Computing in Cardiology Conference (CinC). 2016: 869-872.ten Tusscher, K.H.W.J., Noble, D., Noble, P.J. & Panfilov, A.V. Am J Physiol. 286, H1573-H1589 (2004).<br>* Description of the ECG data<br>ECG4.out : Limb lead electrocardiogramColumn1:time[ms], Column2:I-lead[mV], Column3:II-lead[mV], Column4:III-lead[mV], Column5:aVR-lead[mV], Column6:aVL-lead[mV], Column7:aVF-lead[mV], Column8:VR-lead[mV], Column9:VL-lead[mV], Column10:VF-lead[mV]<br>ECG_chest.out : Precordial lead electrocardiogramColumn1:time[ms], Column2:V1-lead[mV], Column3:V2-lead[mV], Column4:V3-lead[mV], Column5:V4-lead[mV], Column6:V5-lead[mV], Column7:V6-lead[mV], Column8:Wilson central terminal[mV]<br><br>
DOI: 10.6084/m9.figshare.13312856
title: Figshare File 1: Complete dataset, epidemiological informations, genomic quality assessment data and raw reads accession number

description: This table provides, for the 1575 LISTADAPT dataset, all information available dealing with epidemiological data and genome sequence quality.<br>
DOI: 10.6084/m9.figshare.13312856.v3
title: Supplementary table S1: complete dataset, epidemiological informations, genomic quality assessment data and raw reads accession number

description: This table provides, for the 1575 LISTADAPT dataset, all information available dealing with epidemiological data and genome sequence quality.<br>
DOI: 10.5281/zenodo.4421055
title: Data from the ENTSO-E Transparency Platform - SQLite files

description: Data extracted from the ENTSO-E Transparency Platform (transparency.entsoe.eu/). ## AggregatedGenerationPerType (UPDATED 5/1/2021) Data in SQLite format. Timestamps (fields Datetime and Submission) are stored as seconds since 1970-1-1. CREATE TABLE gen_data<br> (Datetime INTEGER,<br> Submission INTEGER,<br> Resolution TEXT,<br> Area TEXT,<br> Type TEXT,<br> Generation REAL,<br> Consumption REAL,<br> PRIMARY KEY (Datetime, Area, Type))<br>
DOI: 10.5281/zenodo.4421054
title: Data from the ENTSO-E Transparency Platform - SQLite files

description: Data extracted from the ENTSO-E Transparency Platform (transparency.entsoe.eu/). ## AggregatedGenerationPerType (UPDATED 5/1/2021) Data in SQLite format. Timestamps (fields Datetime and Submission) are stored as seconds since 1970-1-1. CREATE TABLE gen_data<br> (Datetime INTEGER,<br> Submission INTEGER,<br> Resolution TEXT,<br> Area TEXT,<br> Type TEXT,<br> Generation REAL,<br> Consumption REAL,<br> PRIMARY KEY (Datetime, Area, Type))<br>
DOI: 10.6084/m9.figshare.13317809.v2
title: Mendelian Randomization Highlights the Causal Role of Normal Thyroid Function on Blood Lipid Profiles

description: <b>Background:</b> The association between thyroid function and dyslipidemia has been well documented in observational studies. However, observational studies are prone to confounding, making it difficult to make causal inference and determine the direction of these associations. <b>Methods:</b> We performed a two-sample bi-directional Mendelian randomization (MR) using summary statistics from large-scale genome-wide association studies (GWASs) of thyroid stimulating hormone (TSH), free thyroxine (FT4) and blood lipids. We chose inverse variance weighted (IVW) method as main analysis, and consolidated results through various sensitivity analyses involving six different MR methods under different model specifications. We further conducted genetic correlation analysis and colocalization analysis to deeply reflect the causality. <b>Results:</b> The IVW method showed per one standard deviation (SD) increase in normal TSH was significantly associated with a 0.048 SD increase in total cholesterol (TC; <i>P</i> &lt; 0.001) and a 0.032 SD increase in low-density lipoprotein cholesterol (LDL; <i>P</i> = 0.021). Per one SD increase in normal FT4 was significantly associated with a 0.056 SD decrease in TC (<i>P</i> = 0.014) and a 0.072 SD decrease in LDL (<i>P</i> = 0.009). Neither TSH nor FT4 showed causal associations with high-density lipoprotein cholesterol (HDL) and triglycerides (TG). No significant causal effect of blood lipids on normal TSH or FT4 can be detected. All results were largely consistent when using several alternative MR methods, and were re-confirmed by both genetic correlation analysis and colocalization analysis. <b>Conclusions:</b> Even within reference range, higher TSH or lower FT4 are causally associated with increased TC and LDL, while no reverse causal association can be found.<br>
DOI: 10.14457/mu.res.2008.83
title: Molecular basis of phenotypic variability in paediatric patients with Haemoglobin E/bata Thalassaemia /
DOI: 10.14457/mu.res.2010.120
title: Food insecurity in Thai elderly
DOI: 10.14457/mu.res.2008.84
title: Molecular cloning and expression of genes encoding tegumental antigens in Fasciola gigantica
DOI: 10.6084/m9.figshare.13487295.v1
title: data - A method for draining tension pneumomediastinum.xlsx

description: It combined the local anatomical characteristics to describe a method in a normative manner of draining tension pneumomediastinum.
DOI: 10.14457/mu.res.2019.28
title: Role of NOD-like receptors (NLRs) in Burkholderia pseudomallei-infected human alveolar lung epithelial cell line A549
DOI: 10.14457/mu.res.2019.29
title: Overcoming antigenic variation by genome editing technology
DOI: 10.23729/e7157fbd-69d1-44d7-8413-e3a133d0f61f
title: Isle of Rum preview

description: Two rock samples from the Isle of Rum, Scotland. Unit11-12 is from the Eastern Layered Series of the ultramafic-mafic layered intrusion on the Isle of Rum, Inner Hebrides, Scotland. Taken on Hallival from the boundary between the Cyclic Units of Unit 11 – Unit 12. Undulatory boundary is marked by a thin chromite seam, with peridotite above and anorthosite below. The aim was to image the 3D geometry of the chromite layer. Peridotite is taken from a plug on Barkeval, within the Eastern Layered Series of the Rum ultramafic-mafic intrusion. Outstanding skeletal olive crystals are evident within the peridotite, and were imaged to reveal their 3D geometry. Fishbone textures are clearly observed, suggesting formation by rapid crystallization, or even quenching, leading to branched morphologies from a central spine. Both samples are from Alan Butcher’s PhD collection. Preview of PAS-dataset https://doi.org/10.23729/f905c271-6776-4a97-a571-c44ec60c3d44
DOI: 10.14457/mu.res.2020.8
title: Cost-effectiveness of selected complementary and alternative medicine therapies in older adults with chronic back pain
DOI: 10.14457/mu.res.2020.9
title: The protective role and molecular mechanistic of glucagon-like peptide 1 (GLP-1) receptor agonist on mitochondrial dysfunction in rat cardiomyoblast H9c2 cells
DOI: 10.14457/mu.res.2020.10
title: Microbial diversity in arsenic-contaminated groundwater
DOI: 10.14457/mu.res.2020.11
title: Engineering of bacterial luciferase enzyme for bioreporter applications
DOI: 10.14457/mu.res.2017.65
title: Study of the mitophagic activity in individual fibroblasts carrying the homoplasmic m.1178G&gt;A mutation of Thai patients with leber's heraditary optic neuropathy (LHON) disease
DOI: 10.5281/zenodo.4422514
title: Dataset to Manuscript: Key drivers of pyrogenic carbon redistribution during a simulated rainfall event, Bellè et al. 2021 (Biogeosciences)

description: Dataset to manuscript: Bellè, S-L., Berhe, A., Hagedorn, F., Santin, C., Schiedung, M., van Meerveld, I. and Abiven, S.: Key drivers of pyrogenic carbon redistribution during a simulated rainfall event, Biogeosciences, https://doi.org/10.5194/bg-2020-361, 2021. All parameters and variables are described in the "var_names" file.
DOI: 10.5281/zenodo.4422513
title: Dataset to Manuscript: Key drivers of pyrogenic carbon redistribution during a simulated rainfall event, Bellè et al. 2021 (Biogeosciences)

description: Dataset to manuscript: Bellè, S-L., Berhe, A., Hagedorn, F., Santin, C., Schiedung, M., van Meerveld, I. and Abiven, S.: Key drivers of pyrogenic carbon redistribution during a simulated rainfall event, Biogeosciences, https://doi.org/10.5194/bg-2020-361, 2021. All parameters and variables are described in the "var_names" file.
DOI: 10.5517/ccdc.csd.cc25hqv8
title: CCDC 2011120: Experimental Crystal Structure Determination

description: Related Article: Smruti Ranjan Mohanty, Bedadyuti Vedvyas Pati, Shyam Kumar Banjare, Gopal Krushna Das Adhikari, Ponneri Chandrababu Ravikumar|2020|J.Org.Chem.|86|1074|doi:10.1021/acs.joc.0c02558
DOI: 10.5281/zenodo.4422548
title: Replication package of the paper titled "Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation".

description: This is the replication package of the paper titled "Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation". The replication package is structured according to the research questions of the study (RQ1 and RQ2) and it is composed of the following elements: <strong>Supplementary Material (RQ1).pdf</strong>: a 93-pages technical report providing the details about our mining activities and application of thematic analysis for identifying green architectural tactics for robotics software. <strong>Supplementary Material (RQ2).pdf</strong>: a 75-pages technical report detailing the design, conduction, and results of the empirical assessment of the identified green tactics. <strong>RQ1_data_software.zip</strong>: the raw data and mining source code related to all the activities we carried out for answering RQ1. <strong>RQ2_data.zip</strong>: the raw data related to all the activities we carried out for answering RQ2. <strong>RQ2_ros_implementation.zip</strong>: the source code of the ROS-based system we implemented for performing the experiment in RQ2.
DOI: 10.5281/zenodo.4422547
title: Replication package of the paper titled "Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation".

description: This is the replication package of the paper titled "Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation". The replication package is structured according to the research questions of the study (RQ1 and RQ2) and it is composed of the following elements: <strong>Supplementary Material (RQ1).pdf</strong>: a 93-pages technical report providing the details about our mining activities and application of thematic analysis for identifying green architectural tactics for robotics software. <strong>Supplementary Material (RQ2).pdf</strong>: a 75-pages technical report detailing the design, conduction, and results of the empirical assessment of the identified green tactics. <strong>RQ1_data_software.zip</strong>: the raw data and mining source code related to all the activities we carried out for answering RQ1. <strong>RQ2_data.zip</strong>: the raw data related to all the activities we carried out for answering RQ2. <strong>RQ2_ros_implementation.zip</strong>: the source code of the ROS-based system we implemented for performing the experiment in RQ2.
DOI: 10.34740/kaggle/dsv/1823784
title: Contrastive Language Image Pretraining by openai
DOI: 10.15468/z6a3ka
title: Opaepupu, a new genus and species of bivalve-associated shrimp (Decapoda Caridea: Palaemonidae) from Hawai?i

description: This dataset contains the digitized treatments in Plazi based on the original journal article Anker, Arthur, Grave, Sammy De (2021): Opaepupu, a new genus and species of bivalve-associated shrimp (Decapoda Caridea: Palaemonidae) from Hawai?i. Zootaxa 4903 (1): 55-70, DOI: https://doi.org/10.11646/zootaxa.4903.1.3
DOI: 10.5281/zenodo.3724084
title: Thermal model of the Los Humeros super-hot geothermal system, Mexico

description: The dataset contains 3D thermal model (format - .vtk and .h5) of Los Humeros geothermal system at a local scale (extent defined in Calcagno et al., 2018). The boundary conditions used for this thermal model are obtained from Scenario 3b of regional model discussed in<strong> </strong>EU Deliverable D6.3<strong> </strong>(10.5281/zenodo.3723039) and D6.6 (10.5281/zenodo.3723224). Before using the results of the model, the user is advised to carefully read the model parameters, assumptions and uncertainties associated with the model as reported in Deliverable D6.3 and Deliverable D6.6. The .h5 file contains data and attributes (quantity, unit) The .vtk files contains the following information x, y, z UTM coordinates (m) temp Temperature (°C) head Hydraulic head (m) pres Pressure (MPa) por Porosity (-) q Heat flow (W m<sup>-2</sup>) kx, ky, kz Permeability (m<sup>2</sup>) vx, vy, vz Specific discharge or Darcy velocity (m s<sup>-1</sup>) lx, ly, lz Thermal conductivity (W m<sup>-1</sup> K<sup>-1</sup>) Additional information regarding the model is presented in the PDF document.
description: Incorrect Upload. Latest model will be uploaded soon
description: {"references": ["Deb, P., Knapp, D, Marquart, G., & Montegrossi, G., 2019. Thermal model of the Los Humeros super-hot geothermal system, Mexico (Version D6.6_Report_Local). Zenodo. https://doi.org/10.5281/zenodo.3723224", "Deb, P., Knapp, D., Marquart, G., & Clauser, C. ,2019. Thermal model of the Los Humeros super-hot geothermal system, Mexico (Version D6.3_Report_Regional). Zenodo, doi: 10.5281/zenodo.3719193", "Deb et al, 2019, Modeling natural steady-state of super hot geothermal rerservoir at Los Humeros, Mexico, European Geothermal Congress, 2019, The Hague, The Netherlands, doi: 10.5281/zenodo.3719198", "Calcagno, P., Evanno, G., Trumpy, E., Guti\u00e9rrez-Negr\u00edn, L. C., Mac\u00edas, J. L., Carrasco-N\u00fa\u00f1ez, G., Liotta, D., 2018. Preliminary 3-D geological models of Los Humeros and Acoculco geothermal fields (Mexico) \u2013 H2020GEMex Project., Advances in Geosciences, 45, 321 \u2013 333.", "Calcagno, P., Trumpy, E., Guti\u00e9rrez-Negr\u00edn, L. C., Norini, G., Mac\u00edas, J. L., Carrasco-N\u00fa\u00f1ez, G., Liotta, D., Gardu\u00f1o-Monroy, V. H., Hersir, G. P., Vaessen, L., Evanno, G., Arango Galv\u00e1n, C.: Updating the 3D Geomodels of Los Humeros and Acoculco Geothermal Systems (Mexico) \u2013 H2020 GEMex Project, World Geothermal Congress proceedings, 2020 (submitted)", "B\u00e4r, K., Weydt, L., Deb, P., Kummerow, J.,Ferrero, A., Vagnon, F., Colombero, C., Chicco, J., Vinciguerra, S., Siegfried, R., Comina, C., Mandrone, G., Laciska, A., Kemp, S., Kilpatrick, A., Rochelle, C., Milsch, H., Vacha, D., Rushton, J., 2019. Comprehensive report on the rock and fluid samples and their physical properties in the Acoculco and Los Humeros regions. GEMex \u2013 H2020 project report D6.1, https://data.d4science.net/zVLc"]}