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Table with the results of the time series gene expression analysis for fins.
<p>Differences between transcriptomes of two Cottus fish lineages were assessed in the natural environment. Sampling was performed in a time series covering whole year. Two tissues were investigated: fins and livers. Present table shows results of a time series differential gene expression analysis performed on fin tissues.</p>
Table with results of differential gene expression analysis in the controlled environment for liver tissues.
<p>Differences between transcriptomes of three Cottus fish lineages were assessed under controlled, laboratory conditions. Two tissues were investigated: fins and livers. Present table shows results of the differential gene expression analysis performed on liver tissues of Cottus fish. Base-mean, Log-2-fold change. standard error, statistics and associated p-values and FDR-corrected p-values are given for every contrast possible in our experimental design.</p>
Tables of Limb and Gravity-darkening Coefficients for the Space Mission GAIA
<p><br> File Summary:<br> --------------------------------------------------------------------------------<br> FileName Lrecl Records Explanations<br> --------------------------------------------------------------------------------</p> <p><br> TABLE1 76 574 u linear LDCs <br> PHOENIX-COND models, all metallicities,<br> v.tu=2,0 km/s for GAIA (LSM, FCM)</p> <p> TABLE2 76 1148 a, b quadratic LDCs <br> PHOENIX-COND models, all metallicities,<br> v.tu=2 km/s for GAIA (LSM, FCM) </p> <p> TABLE3 76 1148 c,d square-root LDCs <br> PHOENIX-COND models, all metallicities,<br> v.tu=2 km/s for GAIA (LSM, FCM) <br> </p> <p> TABLE4 76 1148 e,f logarithmic LDCs<br> PHOENIX-COND models, all metallicities, <br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM)</p> <p> TABLE5 49 2296 a_1,a_2,a_3,a_4 LDCs<br> PHOENIX-COND models, all metallicities, <br> v.tu=2 km/s for GAIA (LSM)</p> <p> TABLE6 76 9586 u linear LDCs <br> ATLAS models, all metallicities,<br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM)</p> <p> TABLE7 76 19172 a, b quadratic LDCs <br> ATLAS models, all metallicities,<br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM) </p> <p> TABLE8 76 19172 c,d square-root LDCs <br> ATLAS models, all metallicities,<br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM) <br> </p> <p> TABLE9 76 19172 e,f logarithmic LDCs<br> ATLAS models, all metallicities, <br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM)</p> <p> TABLE10 49 38344 a_1,a_2,a_3,a_4 LDCs<br> ATLAS models, all metallicities, <br> v.tu=2,0,1,4,8 km/s for GAIA (LSM)<br> <br> TABLE11 55 9575 y GDCs <br> ATLAS models, all metallicities,<br> v.tu=0,1,2,4,8 km/s for GAIA(BP,G,RP) <br> --------------------------------------------------------------------------------</p> <p> Byte-by-byte Description of files: TABLE 1<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- u linear LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- u linear LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- u linear LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- u linear LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- u linear LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- u linear LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 2<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- a quadratic LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- a quadratic LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- a quadratic LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- a quadratic LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- a quadratic LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- a quadratic LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- b quadratic LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- b quadratic LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- b quadratic LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- b quadratic LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- b quadratic LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- b quadratic LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 3<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- c root-square LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- c root-square LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- c root-square LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- c root-square LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- c root-square LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- c root-square LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- d root-square LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- d root-square LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- d root-square LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- d root-square LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- d root-square LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- d root-square LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 4<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- e logar LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- e logar LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- e logar LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- e logar LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- e logar LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- e logar LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- f logar LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- f logar LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- f logar LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- f logar LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- f logar LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- f logar LDC (GAIA RP, FCM)<br> -------------------------------------------------------------------------------- <br> <br> Byte-by-byte Description of files: TABLE 5<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a1 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a1 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a1 4 TERMS LDC (GAIA RP,LSM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a2 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a2 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a2 4 TERMS LDC (GAIA RP,LSM)<br> THIRD LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a3 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a3 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a3 4 TERMS LDC (GAIA RP,LSM)<br> FOURTH LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a4 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a4 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a4 4 TERMS LDC (GAIA RP,LSM)<br> --------------------------------------------------------------------------------</p> <p> Byte-by-byte Description of files: TABLE 6<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- u linear LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- u linear LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- u linear LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- u linear LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- u linear LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- u linear LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 7<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- a quadratic LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- a quadratic LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- a quadratic LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- a quadratic LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- a quadratic LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- a quadratic LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- b quadratic LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- b quadratic LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- b quadratic LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- b quadratic LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- b quadratic LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- b quadratic LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 8<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- c root-square LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- c root-square LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- c root-square LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- c root-square LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- c root-square LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- c root-square LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- d root-square LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- d root-square LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- d root-square LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- d root-square LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- d root-square LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- d root-square LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 9<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- e logar LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- e logar LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- e logar LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- e logar LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- e logar LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- e logar LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- f logar LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- f logar LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- f logar LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- f logar LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- f logar LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- f logar LDC (GAIA RP, FCM)<br> -------------------------------------------------------------------------------- <br> <br> Byte-by-byte Description of files: TABLE 10<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a1 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a1 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a1 4 TERMS LDC (GAIA RP,LSM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a2 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a2 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a2 4 TERMS LDC (GAIA RP,LSM)<br> THIRD LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a3 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a3 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a3 4 TERMS LDC (GAIA RP,LSM)<br> FOURTH LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a4 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a4 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a4 4 TERMS LDC (GAIA RP,LSM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 11<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> 2-6 F5.2 Z log [metal/H]<br> 8-13 F6.3 km/s Vel microturbulent velocity<br> 16-20 F5.2 cm/s+2 logg Surface gravity<br> 22-27 F6.3 K log Teff log Effective temperature<br> 31-37 F7.4 --- y GDC (GAIA, BP)<br> 40-46 F7.4 --- y GDC (GAIA, B)<br> 49-55 F7.4 --- y GDC (GAIA, RP)<br> --------------------------------------------------------------------------------</p>
Tables for Finding Driver Mutations in Cancer: Elucidating the Role of Background Mutational Processes
<p>nucleotide and codon tables used for plots and figures and analysis, have all mutations in 520 cancer genes. </p> <p><strong>Table S2. </strong>Correlation between mutability and recurrence of mutations in cancer-associated genes.</p> <p><strong>Table S3. </strong>List of cancer-associated genes and GO terms.</p>
Supplementary Table 11 for "Sulfur-oxidizing symbionts without canonical genes for autotrophic CO2 fixation"
<p>Direct protein stable isotope fingerprinting (SIF) values for Kentron sp. H. δ<sup>13</sup>C values were offset-corrected using a human hair standard for each instrument run. Full raw and processed data are available from the PRIDE repository (https://www.ebi.ac.uk/pride/archive/) with the dataset identifier PXD011616.</p>
Supplementary Table 10 for "Sulfur-oxidizing symbionts without canonical genes for autotrophic CO2 fixation"
<p>Number of genomes with each predicted metabolism in the IMG/ER database, based on the presence/absence of key genes. Except where noted, the number of genomes was not filtered for genome completeness.</p>
Supplementary Table 8 for "Sulfur-oxidizing symbionts without canonical genes for autotrophic CO2 fixation"
<p>Hypothetical reaction scheme that can allow autotrophic CO<sub>2 </sub>fixation with enzymes that are predicted in Kentron genomes. Free energy values (Δ<sub>r</sub>G'<sup>m</sup>) were calculated for pH 7.0 and concentrations 1 mM using eQuilibrator (http://equilibrator.weizmann.ac.il)</p>
Supplementary Table 5 for "Sulfur-oxidizing symbionts without canonical genes for autotrophic CO2 fixation"
<p>List of Transporter Classification families of energy-dependent organic substrate uptake transporters.</p>
Supplementary Table 6 for "Sulfur-oxidizing symbionts without canonical genes for autotrophic CO2 fixation"
<p>Genomes of basal Gammaproteobacteria used for phylogenetic analysis and comparison of organic uptake transporter content. References are to genome description, if published, otherwise to author and date of data deposition. Taxonomy based on LPSN (http://www.bacterio.net), if available. Accession numbers are for INSDC contig sets or assemblies unless otherwise indicated.</p>
Supplementary Table 3 for "Sulfur-oxidizing symbionts without canonical genes for autotrophic CO2 fixation"
<p>Key enzymes for autotrophic pathways, and enzymes of reference set used for comparison of read mapping vs SwissProt database.</p>
Supplementary Table 2 for "Sulfur-oxidizing symbionts without canonical genes for autotrophic CO2 fixation"
<p>Summary statistics of Kentrongenome assemblies. Completeness, contamination, and strain heterogeneity values were estimated with conserved set of marker genes for Gammaproteobacteria using the CheckM pipeline.</p>
Supplementary Table 1 for "Sulfur-oxidizing symbionts without canonical genes for autotrophic CO2 fixation"
<p>Collection localities and dates for <em>Kentrophoros </em>metagenomics and transcriptomics samples.</p>
Scoping review of the term 'genetic identity' - data extraction table
<p>This dataset comes from a systmatic scoping reivew of the term ‘genetic identity’ within different academic discourses. This review systematically identifies all uses of the term ‘genetic identity’ within the academic literature. Content analysis is used to code and categorize its use, and the emerging discourses are related to disciplinary perspective, year of publication, and geographical setting.</p>
ICDAR 2019 Competition on Table Detection and Recognition (cTDaR)
<p>The aim of this competition is to evaluate the performance of state of the art methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done. The Ground Truth is provided in a similar format as for the ICDAR 2013 competition (see [2]):</p> <p><?xml version="1.0" encoding="UTF-8"?></p> <p><<strong>document</strong> filename='filename.jpg'></p> <p> <<strong>table</strong> id='Table_1540517170416_3'></p> <p><strong> <Coords points="180,160 4354,160 4354,3287 180,3287"/></strong></p> <p> <<strong>cell</strong> id='TableCell_1540517477147_58' <strong>start-row</strong>='0' <strong>start-col</strong>='0' <strong>end-row</strong>='1' <strong>end-col</strong>='2'></p> <p> <<strong>Coords</strong> <strong>points</strong>="180,160 177,456 614,456 615,163"/></p> <p> </cell></p> <p> ...</p> <p> </table></p> <p> ...</p> <p></document></p> <p> </p> <p>The difference to Gobel et al. [2] is the Coords tag which defines a table/cell as a polygon specified by a list of coordinates. For B.1 the table and its coordinates is given together with the input image.</p> <p>Important Note:</p> <p>For the modern dataset, the convex hull of the content describes a cell region. For the historical dataset, it is requested that the output region of a cell is the cell boundary. This is necessary due to the characteristics of handwritten text, which is often overlapping with different cells.</p> <p>See also: http://sac.founderit.com/tasks.html</p> <p>The evaluation tool is available at github: https://github.com/cndplab-founder/ctdar_measurement_tool</p>
Dataset of predicted dynamic specific yield under periodic water table oscillations
<p>This dataset accompanies the submitted paper in the Water Resources Research: An approximate model for predicting the specific yield under periodic water table oscillations.</p> <p>The dataset includes 299 numerical experiments on predicting dynamic specific yield with different soil properties and different amplitudes of groundwater level oscillations. With this dataset, we proposed an approximate model for predicting the specific yield under diurnal and seasonal water level fluctuations.</p>
Supplementary tables for "Theme Enrichment Analysis: A Statistical Test for Identifying Significantly Enriched Themes in a List of Stories with an Application to the Star Trek Television Franchise"
<p>Supplementary tables for the manuscript "Theme Enrichment Analysis: A Statistical Test for Identifying Significantly Enriched Themes in a List of Stories with an Application to the Star Trek Television Franchise".</p> <p>Supplementary Information File 1 contains a table of Star Trek TOS/TAS/TNG television series episodes featuring the Klingon alien race. The criterion for inclusion is that the Klingons were deemed by the authors to have been featured throughout the episode in a way that is central to the story plot.</p> <p>Supplementary Information File 2 contains tables of over-represented Literary Theme Ontology version 0.1.1 literary themes in Star Trek TOS/TAS/TNG television series storysets as identified by the hypergeometric test.</p> <p>Supplementary Information File 3 contains tables of over-represented Literary Theme Ontology version 0.1.1 literary themes in Star Trek TOS/TAS/TNG television series storysets as identified by the TF-IDF statistic.</p>
Lake Hazen watershed OTU table
<p>This is a processed OTU table used for all analyses featured in a manuscript whose publication is currently pending at the FEMS Journal. This table includes OTU data for three main watershed compartments found within the Lake Hazen watershed (Northern Ellesmere Island, NU, Canada), comprising of: glacial rivers, Lake Hazen itself, an active layer thaw-fed continuum, as well as snow and some snowmelt samples obtained from the same watershed.</p>
COMPARATIVE TABLE OF HORN CORES, &c., OF SPECIES OF MONOCLONIUS AND POLYONAX. in New genera and species from the Belly River Series (mid-Cretaceous)
COMPARATIVE TABLE OF HORN CORES, &c., OF SPECIES OF MONOCLONIUS AND POLYONAX.
Appendix Tables
<p><strong>Appendix Tables</strong></p> <p><strong>Table S1 </strong>Whole-rock major element (wt.%) and trace element (ppm) compositions of the SMAR basalt samples</p> <p> </p> <p><strong>Table S2</strong> Electron probe microanalytical data of typical plagioclases in the SMAR basalt samples</p> <p> </p> <p><strong>Table S3</strong> Electron probe microanalytical data of typical olivines in the SMAR basalt samples</p>
Supplementary tables S1-S5. Comparison of two different host plant genera responding to grapevine leafroll-associated virus 3 infection
<p>Grapevine leafroll-associated virus 3 (GLRaV-3) is one of the most important viruses of grapevine but, despite this, there remain several gaps in our understanding of its biology. Because of its narrow host range -limited to <em>Vitis</em> species - and because the virus is restricted to the phloem, most GLRaV-3 research has concentrated on epidemiology and the development of detection assays. The recent discovery that GLRaV-3 can infect <em>Nicotiana</em> <em>benthamiana, </em>a plant model organism, makes new opportunities available for research in this field. We used RNA-seq to compare both <em>V. vinifera </em>and <em>N. benthamiana</em> host responses to GLRaV-3 infection. This is the first analysis of gene expression profiles beyond <em>Vitis </em>to mealybug-transmitted GLRaV-3.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.