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3,101 results for “tables”
Kenya Table Unity Studies FFX
<p>Table to contribute to multi-site publication</p>
TomExpress_Expression_Table
<p>The manuscript (877959) submitted to Frontiers in Plant Science contains RNA sequencing data. This data is stored in advance of the manuscript's publication in a public, community-supported repository.</p>
Table of hsp65 OTUs (cutoff 99%), their inferred taxonomic allocations according to the hsp65 database and, for selected OTUs, closest species obtained from GenBank (BLAST) with percent identity.
<p>This table is part of the paper intitled "Comparison of Actinobacteria communities from human-impacted and pristine karst caves"</p>
Genomics of humic adaptation in Eurasian perch (Perca fluviatilis): SNP genotypes of 32 perch individuals, supplementary figures and tables
<p>Extreme <span>environments are inhospitable to the majority of species, but some organisms are able to survive in such hostile conditions due to evolutionary adaptations. For example, </span><span>m</span><span>odern bony fishes have colonized various aquatic environments, including perpetually dark,</span><span> hypoxic, hypersaline and toxic habitats</span><span>. </span><span>Eurasian perch (</span><em>Perca fluviatilis</em><span>) is among the few fish species of northern latitudes that is able to live in very acidic humic lakes. Such lakes represent almost "nocturnal" environments; they contain high levels of dissolved organic matter, which in addition to creating a challenging visual environment, also affects a large number of other habitat parameters and biotic interactions. To reveal the genomic targets of humic-associated selection, we performed whole-genome sequencing of perch originating from 16 humic and 16 clear-water lakes in northern Europe. We identified over 800,000 SNPs, of which >10,000 were identified as potential candidates under selection (associated with >3,000 genes) using multiple outlier approaches. Our findings suggest that adaptation to the humic environment may involve hundreds of regions scattered across the genome. Putative signals of adaptation were detected in genes and gene families with diverse functions, including organism development and ion transportation. The observed excess of variants under selection in regulatory regions highlights the importance of adaptive evolution via regulatory elements, rather than via protein sequence modification. Our study demonstrates the power of whole-genome analysis to illuminate multifaceted nature of humic adaptation and provides the foundation for further investigation of causal mutations underlying phenotypic traits of ecological and evolutionary importance.</span></p>
Supplementary Table S5 - Article: Transcriptome Analysis Provides Novel Insights into Salinity Stress Response in two Egyptian Rice Varieties with Different Tolerance Levels
<p><strong>Table S5.</strong> Repository data showing genes identified by MapMan in Giza 178 in different pathways. </p> <p>A, Cell wall modifications.</p> <p>B, Hemicellulose synthesis.</p> <p>C, Cellulose synthesis.</p> <p>D, Mannan-xylose-arabinose-fucose. </p> <p>E, cell wall peroxidase.</p> <p>F, TF MYB. </p> <p>G, bZIP. </p> <p>H, Histone.</p>
Supplementary Table S4 - Article: Transcriptome Analysis Provides Novel Insights into Salinity Stress Response in two Egyptian Rice Varieties with Different Tolerance Levels
<p><strong>Table S4.</strong> Repository data showing genes identified by MapMan in Giza 177 in different pathways. </p> <p>A, Cell wall modifications.</p> <p>B, Hemicellulose synthesis.</p> <p>C, Cellulose synthesis.</p> <p>D, Mannan-xylose-arabinose-fucose.</p> <p>E, cell wall peroxidase.</p> <p>F, TF MYB. </p> <p>G, bZIP. </p> <p>H, Histone.</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>
Supplementary Table S3 - Article: Transcriptome Analysis Provides Novel Insights into Salinity Stress Response in two Egyptian Rice Varieties with Different Tolerance Levels
<p><strong>Table S3.</strong> Repository data for the global analysis produced for cv Giza 178. </p> <p>A, Up regulated genes observed when comparing salt stressed plants vs unstressed controls. </p> <p>B, Down regulated genes in Giza 178 observed when comparing salt stressed plants vs unstressed controls.</p> <p>C, Gene Ontology enrichment analysis (GOEA) results for Giza 178 up regulated genes. </p> <p>D, GOEA results for Giza 178 down regulated genes. </p>
Result tables
<p>Tables containing the results of the three indicators on GBIF minimum data adequacy for alien species.</p>
Data tables for primary and secondary datasets
<p>These tables contain select information used to create Fig. 1 in arxiv: <a href="https://arxiv.org/abs/2102.01079">2102.01079</a>.</p> <p>PRIMARY.csv contains information for pairs of stars in the primary data set. SECONDARY.csv contains information for pairs of stars in the secondary data set.</p>
CeNGEN Integrated mRNA data and bulk noncoding RNA lookup table
<p>This CeNGEN web tool provides a user interface to datasets described in Barrett et al(1): <a href="http://bulk.cengen.org:3838/Bulk_Integrated_viz/">http://bulk.cengen.org:3838/Bulk_Integrated_viz/</a>. It can also be run as an Rshiny app locally using the attached files.</p> <p>Raw data are being processed at GEO, and this resource will be updated with the accession number when available.</p> <p>(1)Integrating bulk and single cell RNA-seq refines transcriptomic profiles of specific C. elegans neurons. Alec Barrett, Erdem Varol, Alexis Weinreb, Seth R. Taylor, Rebecca McWhirter, CyrilCros, Manasa Basavaraju, Abigail Poff, John A. Tipps, Maryam Majeed, Berta Vidal, Chen Wang, Eviatar Yemini, Emily A. Bayer, HaoSheng Sun, Oliver Hobert, David M.Miller III, Marc Hammarlund. bioRxiv 2022.04.05.487209; doi: https://doi.org/10.1101/2022.04.05.487209</p> <p> </p>
Supplementary tables for Honey Bee symbiont buffers larvae against nutritional stress and supplements lysine
<p>Honey bees have suffered dramatic losses in recent years, largely due to multiple stressors underpinned by poor nutrition. Nutritional stress especially harms larvae, who mature into workers unable to meet the needs of their colony. In this study, we characterize the metabolic capabilities of a honey bee larvae-associated bacterium, <em>Bombella apis</em> (formerly <em>Parasaccharibacter apium</em>), and its effects on the nutritional resilience of larvae. We found that <em>B. apis</em> is the only bacterium associated with larvae that can withstand the antimicrobial larval diet. Further, we found that <em>B. apis</em> can synthesize all essential amino acids and significantly alters the amino acid content of synthetic larval diet, largely by supplying the essential amino acid lysine. Analyses of gene gain/loss across the phylogeny suggest that four amino acid transporters were gained in recent <em>B. apis</em> ancestors. In addition, the transporter LysE is conserved across all sequenced strains of <em>B. apis</em>. Finally, we tested the impact of <em>B. apis</em> on developing honey bee larvae subjected to nutritional stress and found that larvae supplemented with <em>B. apis</em> are bolstered against mass reduction despite limited nutrition. Together, these data suggest a novel role of <em>B. apis</em> as a nutritional mutualist of honey bee larvae.</p>
Data file 2. Survey answers - Table 1
<p>This information contains answers from 1 to 11, from the online survey under the title "COVID – 19 and psychiatry teaching during the outbreak of the pandemic at the Eduardo Mondlane Medical School"</p>
Supplementary tables for the article "A novel approach for discovering correlations between elemental and molecular composition using laser-based spectroscopic techniques"
<p>Table S1. Collection conditions of zooplankton samples. Data in the salinity and temperature columns, separated by a slash sign, are the characteristics of surface and bottom water.</p> <p>Table S2. The results of elemental analysis of zooplankton by ICP-AES and ICP-MS (as provided by IO RAS).</p> <p>Table S3. List of emission signals used to construct spider diagrams.</p> <p>Table S4. List of spectral ranges eliminated from LIBS data to improve the performance of chemometric algorithms.</p> <p>Raw LIBS and Raman spectra of zooplankton.</p> <p> </p>
Lookup table: grid_0_0.01_1_1_100_theta_0.01_depth_250
<p>Composite likelihood lookup table for:</p> <p>rho value grid: "0,0.01,1,1,100"</p> <p>theta per site: 0.01</p> <p>depth: 250</p>
Lookup table: grid_0_0.01_1_1_100_theta_0.001_depth_250
<p>Composite likelihood lookup table for:</p> <p>rho value grid: "0,0.01,1,1,100"</p> <p>theta per site: 0.001</p> <p>depth: 250</p>
Lookup table: grid_0_0.01_1_1_100_theta_0.005_depth_250
<p>Composite likelihood lookup table for:</p> <p>rho value grid: "0,0.01,1,1,100"</p> <p>theta per site: 0.005</p> <p>depth: 250</p>
Documenting And Assessing Open Innovation: Co-creation Of An Open Data Model For Surgical Training (Additional materials, tables 2 & 3)
<p>Challenge competitions have recently resurged for promoting open innovation in areas where markets fail to provide incentives, such as the Sustainable Development Goals (SDGs). Challenges call for the general public to contribute novel solutions to a well-defined problem, in exchange for prizes, credentials and the promise of further development of selected solutions. The aim of this paper is to report on the development of an open and collaborative data model to document and evaluate innovations in the context of a challenge competition, while also being compatible with the work of other open source communities to validate and improve them. By reusing open documentation standards and embedding them into a semantic collaborative platform, the model aimed to be flexible enough to respond to the evaluation needs of the project organisers and self-assessment for participants. We expect our experience provides insights on the potential of semantic, collaborative platforms and standards for increasing the impact of innovations towards the SDGs.</p> <p>The developer team defined the goal and scope of the ontology in collaboration with the GSTC organisers. This was done by agreeing on scenarios where the ontology will be used and establishing competency questions that the ontology has to be able to respond to. Table 2 describes the four motivating scenarios, including actors involved, requirements, sequence of actions and main problems identified. Table 3 details the competency questions for each scenario.</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 Tables for the article"One-to-one Coupling between Southern Ocean Productivity and Antarctica Climate"
<p>Supplementary Tables for the article"One-to-one Coupling between Southern Ocean Productivity and Antarctica Climate".</p> <p>Table S1. Tie points in the age model of Site U1537; </p> <p>Table S2. Age-depth model and uncertainties at Site U1537;</p> <p>Table S3. Natural gamma radiation data at Site U1537;</p> <p>Table S4. Color reflectance component b* data at Site U1537;</p> <p>Table S5. Ca counts data at Site U1537;</p> <p>Table S6. Magnetic susceptibility data at Site U1537.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.