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57 results for “Table S2”
Marcell Experimental Forest 30-minute water table elevation and temperature from transects of wells in the S2 and S6 peatlands, 2018-ongoing
This data publication contains 30-minute water table elevation and temperature data collected along bog to lagg transects within two watersheds at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota. The bog to lagg transects are located on the north and south sides of S2 and S6 peatlands and contain three surface water wells each. The water table elevations provide information to calculate the hydraulic gradients that drive flow to and from the bogs. The collection of these data was funded by the US Department of Energy. The research program at Marcell Experimental Forest is managed by the USDA Forest Service Northern Research Station.
Table S2. List of museum specimen material inspected for each of the 10 new taxa. Over 300 specimens were examined in total for plumage comparisons.
<p>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>
Characterizing Novel Olfactory Receptors Expressed in the Murine Renal Cortex: Supplemental Table S2
<p><strong>Olfactory receptors selected for study. </strong>Olfactory receptors (ORs) selected for study based on mapped reads in at least 7 out of 8 murine renal cortex samples. Murine samples are listed as A - M. Samples A - G were fed high fat diet, while samples I - M were fed control diet. (mm10) FPKM counts for ORs selected for study based on the GRCm30/mm10 genome build using previously published OR coordinates. ORs are listed using the "Olfr" gene names, as well as the "CUFFOR" names as determined by Ibarra-Soria X et al. (mm9) FPKM counts for ORs selected for study based on the NCBI37/mm9 genome build using established coordinates. ORs listed in green were identified and cloned from kidney RNA previously.</p> <p> </p> <p>Data accessible at NCBI GEO database, accession number GSE117249<br> https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE117249</p>
Supplementary Table S2
<p><strong>Detailed <em>de novo</em> assemblies information table</strong>.</p> <p>Primary potato transcriptome assemblies summary listing parameters used for short reads <em>de novo</em> assembly generation.</p> <p>Layer _p_stRT/_I_STRT/_S_02_denovo, DOI: 10.15490/fairdomhub.1.datafile.3091.1</p>
Data_Table S2_Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice
<p>Data of Table S2 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 Table as PNG-format (10.3390_metabo11070442_TabS2.PNG). All further experiment related information provided as one meta-data-file (31003A_179400_10.3390_metabo11070442_FJ_AE-BileAcids_3_4_M_1.txt) in txt format.</p>
M. Kelly PhD thesis; Chapter 2 - Supplemental Table S2
<p>Supplemental Table for my PhD thesis (Chapter 2). Supplemental Table S2 contains the biometric data for all specimens used in this study.</p>
Table S2.- ADC phylogeny data set.
<p>Data set for phylogenetic analysis, we used the Pfam v31.0 database to determine which proteinortho clusters represent the ADC proteins. A total of 37 homologs belonging to alphaproteobacteria sequences were tested with a group of nine external sequences were aligned against Muscle v3.8.31. The resulting dataset containing 46 putative ADC homologs was used to infer the evolutionary relationships. We used ProtTest3 v3.4.2 for the evolutionary model and, the best result was LG+G model; using amino acid alignment. The phylogenetic analysis was performed with PhyML v3.3.20170530 under (-d aa -m LG -a e -o ltr) parameters. </p>
Table S2
<p>Table S2 of the article <strong><em>bRacatus</em></strong><strong>: a method to estimate the accuracy and biogeographical status of georeferenced biological data</strong></p>
Tables S1 and S2. Structural Diversity, Biosynthesis, and Function of Plant Falcarin-type Polyactylenic Lipids
<p>Table S1. Compounds and structures used to generate structural similarity network in Figure 2.</p> <p>Table S2. List of functional FAD2s used to generate Figures 4 and 5.</p>
Supplementary Table S2 - Article:Transcriptome Analysis Provides Novel Insights into Salinity Stress Response in two Egyptian Rice Varieties with Different Tolerance Levels
<p><strong>Table S2.</strong> Repository data for the global analysis produced for cv Giza 177. </p> <p>A, Up regulated genes observed when comparing salt stressed plants vs unstressed controls. </p> <p>B, Down regulated genes in Giza 177 observed when comparing salt stressed plants vs unstressed controls.</p> <p>C, Gene Ontology enrichment analysis (GOEA) results for Giza 177 up regulated genes. </p> <p>D, GOEA results for Giza 177 down regulated genes. </p>
Tables S2 and S4
<p>Tables S2 and S4 in Supplemental Information for 'Early Systems Change Necessary for Catalysing Long-Term Sustainability in A Post-2030 Agenda' in One Earth.</p>
Supplementary data of Figures (S1) and Tables (S1 & S2)
<p><strong>Figure S1. Comparison of early flower mutant recovered from irradiated PLBs at 10 Gy dose with the flower of ‘Emma White’ mother plant</strong></p> <p><strong>Table S1: Mean DNA intensity and nuclei count of gamma irradiated PLBs after five months of irradiation treatment</strong></p> <p><strong>Table S2: RAPD primers used for genetic study of gamma irradiated mutants</strong></p>
Supplementary Table S2 - Stability of Blood DNA Methylation Across Two Timepoints in Three Cohorts
<p>Supplementary Table S2 from "Stability of Blood DNA Methylation Across Two Timepoints in Three Cohorts", published in Biomedicines.</p> <p><span>This research was funded by the National Science Centre, Poland, grant numbers 2017/26/E/NZ5/00851 (K.W.) and 2020/39/D/NZ5/02720 (J.K.N.).</span></p>
Table S2
<p>Parameter estimates for climate/oceanography-presence/abundance relationship to accompany manuscript Davies et al "Seabirds predicted to decline in response to climate change in Britain and Ireland".</p>
Marcell Experimental Forest site, station Watershed S2, peatland water table bogwell site, study of water table elevation above mean sea level in units of meter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Marcell Experimental Forest (MAR) contains water table elevation above mean sea level measurements in meter units and were aggregated to a monthly timescale.
Marcell Experimental Forest site, station Watershed S2, peatland water table bogwell site, study of water table elevation above mean sea level in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Marcell Experimental Forest (MAR) contains water table elevation above mean sea level measurements in meter units and were aggregated to a yearly timescale.
Marcell Experimental Forest site, station Watershed S2, groundwater deepwell #202, study of water table elevation above mean sea level in units of meter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Marcell Experimental Forest (MAR) contains water table elevation above mean sea level measurements in meter units and were aggregated to a monthly timescale.
Marcell Experimental Forest site, station Watershed S2, groundwater deepwell #202, study of water table elevation above mean sea level in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Marcell Experimental Forest (MAR) contains water table elevation above mean sea level measurements in meter units and were aggregated to a yearly timescale.
Tables S2-S3. SMR-HEIDI results for 8q24.21 locus between back pain and other phenotypes.
<p><strong>Supplementary Table S2. SMR-HEIDI results for 8q24.21 locus between back pain and other complex traits. </strong></p> <p><strong>Column headers of Tables S2:</strong></p> <p>Secondary Trait Name: Name of complex trait<br> Dataset: Name of dataset (UKB Neale's lab or UKB Gene Atlas)<br> Index_SNP: RsID of SNP used as target in SMR-HEID analysis<br> Proxy_SNP: RsID of top SNP in the selected locus - SNP presented in both GWAS data with minimum P-values in back pain GWAS<br> r(proxy_SNP,index_SNP): linkage disequilibrium coefficient between index and proxy SNP<br> beta_SMR: Beta SMR for proxy SNP<br> p_SMR: P-value of beta SMR<br> qFDR-BH SMR: P-value of beta SMR after Bonferroni correction<br> p_HEIDI: P-value of HEIDI test<br> n_HEIDI: Number of SNPs used in HEIDI test<br> SNPs_HEIDI: List of rsID of SNPs used in HEIDI test</p> <p> </p> <p><strong>Supplementary Table S3.</strong> <strong>SMR-HEIDI results for 8q24.21 locus between back pain and expression of genes.</strong></p> <p><strong>Column headers of Tables S3:</strong></p> <p>Secondary Trait Name: Name of complex trait<br> Tissue: Name of the tissue from which the samples were taken to study gene expression<br> Gene_name: Gene name corresponding to the transcript name<br> Transcript Name: Transcript name (ID)<br> Dataset: Name of dataset (CEDAR, GTEx_v6)<br> beta_SMR: Beta SMR for proxy SNP<br> p_SMR: P-value of beta SMR<br> qFDR-BH SMR: P-value of beta SMR after Bonferroni correction<br> p_HEIDI: P-value of HEIDI test<br> n_HEIDI: Number of SNPs used in HEIDI test<br> SNPs_HEIDI: List of rsID of SNPs used in HEIDI test</p> <p> </p> <p>Part of the article: Williams FMK et al. "Sequence variation at 8q24.21 and risk of back pain"</p>
Tables Supplementary S1 and S2
<p><strong><span>Table Supplementary S1 </span></strong><span>Assessment of assumptions regarding normal distribution performed using the Shapiro-Wilk test and homogeneity of variances using the Brown-Forsyth test for the studied leukocyte subpopulations in three groups.</span></p> <p> </p> <p><strong><span>Table Supplementary S2 </span></strong><span>Assessment of assumptions regarding normal distribution performed using the Shapiro-Wilk test and homogeneity of variances using the Brown-Forsyth test for the studied lymphocytes T subpopulations in three groups.</span></p>
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