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161 results for “Table S1”
M. Kelly PhD thesis; Chapter 4 - Supplemental Table S1
<p>Supplemental Table for my PhD thesis (Chapter 4). Supplemental Table S1 contains all data relevant to the predator choice tests.</p>
Table S1.
<p>Table S1. Data corresponding to ADMET information of the virtual library.</p>
Supporting Dataset (Tables S1-S7, Figure S1) for "Heavy-mineral grain counting: Counting techniques, error estimation, and the number of grains to be counted"
<p>This Dataset comprises Tables S1-S7 for the article <strong>"Heavy-mineral grain counting: Counting techniques, error estimation, and the number of grains to be counted"</strong> authored by Jan Schönig and submitted to J<em>ournal of Geophysical Research: Earth Surface</em>.</p> <p>Figure S1: Error of different counting methods in comparison with theory and without considering the finite population correction</p> <p>Table S1: Heavy-mineral dataset from semi-automated Raman analysis</p> <p>Table S2: Summary of heavy-mineral composition for individual samples in percent</p> <p>Table S3: Computed ribbon compositions for individual samples and ribbon sizes given in numbers of counts</p> <p>Table S4: Relative errors at 95 % quantile for consecutive ribbon counting simulations</p> <p>Table S5: Relative errors at 95 % quantile for maximum distance ribbon counting simulations</p> <p>Table S6: Relative errors at 95 % quantile for cluster counting simulations</p> <p>Table S7: Numerical solution for determining the number of counts required to discriminate the content of two mineral species in an aliquot</p>
Table S1. Uncorrected p distance matrix
<p>Uncorrected p distance values for combined COI and 16S sequences from phylogenetic analysis of <em>Helminthoglypta</em> land snails (Mollusca: Gastropoda: Helminthoglyptidae) from northern California and southern Oregon, USA.</p> <p>Note: Specimen numbers marked with * were missing COI sequences.</p> <p>Table in both Excel (*.xlsx) and comma-separated value (*.csv) formats.</p> <p> </p>
Table S1. Geographical localization of Pinus pseudostrobus Lindley. specimens used in the study and concordance of morphological identification with real-time PCR-HRM assay for Pinus pseudostrobus varieties pseudostrobus, apulcensis, oaxacana and coatepecensis, based on the cluster pattern.
<p>File encloses geographical location of collected Pinus pseudostrobus samples in México, as well as haplotype grouping obtaines from HRM analysis</p>
Characterizing Novel Olfactory Receptors Expressed in the Murine Renal Cortex: Supplemental Table S1
<p><strong>Ligand screening of Olfr90, Olfr461, Olfr558, Olfr1034, and Olfr1396.</strong> The complete screening results of all compounds tested on all 5 murine ORs. Compounds were tested at 0.5 mM unless otherwise specified. “+” indicates robust statistically signification activation, while “–” indicates no response. ORs listed in the Classification column are siblings of tested ORs. The term “general” is used for compounds in our library that are commonly used to screen ORs, and “biofluids” refers to compounds listed in the Human Metabolome Database which are detected in biofluids such as blood, urine, etc.</p> <p> </p> <p> </p>
Table S1 for "Lowermost mantle anisotropy beneath Africa from differential SKS-SKKS shear-wave splitting"
<p>SKS-SKKS measurements per station and per event. We provide details in the following order: station, network, station latitude, station longitude, event date, event time, event latitude, event longitude, event depth, event magnitude, distance, backazimuth, misalignment correction value, phi, dt, min. phi error, max. phi error, min. dt error, max. dt error, splitting intensity, min. splitting intensity error, max. splitting intensity error, category (SplitRacer), individual category, category for pair. Values for field ‘category(SplitRacer)’ are based on SplitRacer’s quality criteria: good, average, null-measurement, with our addition of the category ‘fair null-measurement’ for nulls which are slightly noisy. In general, these categories are selected by the user on the basis of the noise level of the traces, the amount of energy reduction, splitting intensity value (and errors), visual comparison of the time derivative radial component to the transverse component, scatter in the histogram over the used time windows and the size of 95% confidence level The selection of final usable events was then based on the width of the 95% confidence level. The field ‘Individual category’ has the following values: 0=null-measurement; 1=very good (phi error < 30°; dt error 0.75 s); 2= good (phi error >30°; < 60°, dt error > 0.75 s; <1.55 s), 3= fair (error bars larger than category 2 but clear splitting and the other phase of the same event is a category 1). Categories for pairs are: 0 = both phases are null-measurements; 1= both phases have an individual category of 1, individual categories of 1 & 2, or one phase is null while the other is an individual category 1; 2= both phases have an individual category of 2 or one phase is null while the other is an individual category 2 measurement or one phase is an individual category 1 measurement while the other is an individual category 3 measurement (the latter only applies to 30 pairs in total).</p>
Data_Table S1_Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice
<p>Data of Table S1 from Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice.</p> <p>The Dataset (doi: 10.3390_metabo11070442) contains the original figures as PNG-format (10.3390_metabo11070442_TabS1.PNG). All further experiment related information provided as one meta-data-file (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1-2_M_1.txt) in txt format and two files containing further related information on the analysis method (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1-2_1.pdf) PDF format.</p>
Loire & Galtier 2021 Peer Community Journal Supplementary Table S1
<p>This table shows the analyzed species and species pairs and estimated of synonymous heterozygosity (piS) and inbreeding coefficient (F)</p>
Table S1 - Economic Costs of Protecting Islands from Invasive Alien Species
<p>Dataset analysed in relation to the paper 'Economic Costs of Protecting Islands from Invasive Alien Species' published in Conservation Biology in 2022</p>
M. Kelly PhD thesis; Chapter 2 - Supplemental Table S1
<p>Supplemental Table for my PhD thesis (Chapter 2). Supplemental Table S1 contains the sample data for all specimens used in this study.</p>
M. Kelly PhD thesis; Chapter 3 - Supplemental Table S1
<p>Supplemental Table for my PhD thesis (Chapter 3). Supplemental Table S1 contains all collection and processing data for the specimens used in this study.</p>
Table S1. Wordlist of 46 sites
<p>Reflexes of *-iun/iut and *-un/ut with sample reflexes of *-on/ot, *-ion/iot, *-in/it and *-en/et in 46 Yuè Chinese varieties.</p>
Table S1. List of all new avian species descriptions from 2000 through 2016. Neotropical birds are indicated in yellow, whereas Asian / Australasian species are indicated in green.
<p>Is supplement to Rheindt, Frank E., Prawiradilaga, Dewi M., Ashari, Hidayat, Suparno, Gwee, Chyi Yin, Lee, Geraldine W. X., Wu, Meng Yue, Ng, Nathaniel S. R. (2020): A lost world in Wallacea: Description of a montane archipelagic avifauna. Science 367: 167-170, DOI: 10.1126/science.aax2146</p>
Supplementary Table S1: KEGG pathway enrichment
<p>This is a dataset excel file directly related to my manuscript (MBO3_2019_11_0405.R1). The dataset excel file is a detailed result of the KEGG pathway enrichment analysis. </p>
Table S1. Supplement of https://doi.org/10.5194/gmd-2019-286
<p>Model parameter values and composite parameter sensitivities related to the simulated tracer breakthrough curves of Fig. 5 in the article <em><a href="https://www.geosci-model-dev-discuss.net/gmd-2019-286/">Bodin, J.: MFIT 1.0.0: Multiflow inversion of tracer breakthrough curves in fractured and karst aquifers, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-286, in review, 2020</a></em><em>.</em> Since no parameters were fixed prior to the inversion process, a degree of freedom remains in the optimized parameter pairs (<em>Q</em>, <em>m<sub>j</sub></em>) and (<em>C</em><sub>0</sub>, <em>Q<sub>j</sub></em>/<em>Q</em>). The values of these parameters were rescaled using the recovered tracer mass, which were calculated independently from the experimental data.</p>
Table S1: Data extraction table. A summary of the 166 candidate biomarkers that met the inclusion/exclusion criteria.
<p>Supplementary material to Translating Biomarkers of Cholangiocarcinoma for Theranosis: A Systematic Review. Version 2. </p>
Table S1-5
<p>Supporting material for the paper "Erosion’s Impact on Fault Segmentation in Thrust Belts: Low-Temperature Thermochronology and Fluvial Shear Stress Analyses on Southern Longmen Shan, Eastern Tibet"</p>
Table S1. The influence of extremely low frequency magnetic field (ELF-MF) on different aspects of the organism function
<p><strong>Table S1.</strong> <strong>The influence of extremely low frequency magnetic field (ELF-MF) on different aspects of the organism function</strong> (papers are listed according to year of publication).</p> <p>In order to prepare the table the bibliography research in PubMed was performed using the following keywords in varied combinations:: “electromagnetic field”, “stress”, “corticosterone“, “noradrenaline”, “HPA axis”, “oxidative stress”, “cellular damage”, “BDNF”, “HSP70”, “neurotransmitters”, “cytokines”, “plasticity”, “viability”, “recovery”; “behavior”. We also used Boolean operator “and” to receive the most relevant search results. All articles written in English were manually screened, and the appropriate were identified. The articles published from 2010 to 2020 were taken into consideration. The papers concerning the effects of extremely low frequency magnetic field on a wide spectrum of molecular, neuronal, hormonal and behavioural stress responses were considered and only information related to ELF-MF effects are included in the Table.</p>
Supplementary Tables S1 - S6
<p>Supplementary Material for publication - Environmental DNA as a tool to reconstruct catch composition for longline fisheries vessels.</p> <p>S1: Brine tanks, species and samples collected per vessel</p> <p>S2: Summary statistics per sequencing run</p> <p>S3: Number of raw reads for non-target taxa and the taxa present in control samples</p> <p>S4: Number of raw reads per target species</p> <p>S5: ASV species assignment with bootstrap values</p> <p>S6: Raw ASV counts per sample</p>
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International Brain Laboratory public data
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OpenNeuro
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