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15 results for “Table S4”
Stowaways Supplement Table S4: Ma'agan Mikhael B Rattus rattus Bone Surface Modifications and Taphonomic Analysis Datasheet
<p>Bone surface modifications and taphonomic analysis dataset. Data includes catalogue number, fragmentation, Munsell color code, color notes, cut marks, burning, sand abrasion stage, and marine corrosion degree. For a detailed description of the methods and references, please refer to 'Supplement S1: Methods' in the manuscript.</p> <p>***Version 2 added two new specimens from the September 2022 excavation season.</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>
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>
PWB Bone SR - Supplementary Table S4 (Sensitivity Analysis)
<p>Supplementary material for the manuscript entitled 'Bone Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'</p>
Supplementary Table S4
<p><strong>PW363 biological evidence filtering results</strong>.</p> <p>Output of 1<sup><em>st</em></sup> filtering step by biological evidence for breeding clone PW363.</p> <p>Layer _p_stRT/ _I_STRT/_S_03_stCuSTr/_A_03.1_filtering, DOI: 10.15490/fairdomhub.1.datafile.3111.1</p>
Supplementary material, Table S4 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Table S4 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Table S4. Most common types of microplastics.<br>Source: adapted from Gago et al. (2019).</p>
Supplementary Tables S1-S4
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Supplementary Information Table S4. Smith Mountain Lake (44PY152) SP-TOF-ICPMS nanoparticle data.
<p>Supplementary information for:</p> <p><a name="_Hlk153447424"></a><strong><span>12,800-year-old</span></strong><span><strong><span> </span></strong></span><span><strong><span>Microspherule Layer useful as a Chronostratigraphic Datum at Smith Mountain Lake (44PY152), USA</span></strong></span></p> <p> </p> <p> </p>
Table S4
<p>manuscript supplementary table</p>
Table S4
Open the record for dataset details and reuse information.
Table S4
<p>List of new aminoglycoside resistance genes predicted in this study</p>
Macroalgal genomics illuminate three paths to multicellularity - Supplementary Data - Tables - Data S4
<p>Macroalgae are multicellular, aquatic autotrophs that play vital roles in global climate maintenance and have diverse applications in biotechnology and eco-engineering, which are directly linked to their multicellularity phenotypes. However, their genomic diversity and the evolutionary mechanisms underlying multicellularity in these organisms remain uncharacterized. Here, we sequenced 112 macroalgal genomes from diverse climates and phyla, identifying key genomic features that distinguish them from their microalgal relatives. We found that macroalgae have expanded gene families related to cellular adhesion, extracellular matrix formation, cytoskeletal organization and signaling pathways. We discovered that many of these genes have viral origins and are lineage-specific or conserved among the three major macroalgal phyla: Rhodophyta (red algae), Chlorophyta (green algae) and Ochrophyta (brown algae). Our work reveals genetic determinants of convergent and divergent evolutionary trajectories that have shaped morphological diversity in macroalgae and provides genome-wide frameworks to understand photosynthetic multicellular evolution in marine environments.</p> <p><strong>Table S1.</strong> Functional annotation and metadata for macroalgal species. This is a multi-sheet Excel workbook containing the PFAM count matrix for decontaminated assemblies and their strain metadata, contamination estimates, assembly metrics including BUSCO and N50 scores, and source data for the ternary analysis. Related to Figs. 2 and 3.</p> <p><br><strong>Table S2.</strong> GO enrichment in macroalgal-specific genes. This is a multi-sheet Excel workbook containing enriched GO terms in macroalgal-specific PFAMs conserved in Rhodophyta, Ochrophyta, and Chlorophyta and response screening results comparing means in PFAM counts between divisions. Related to Fig. 3.</p> <p><br><strong>Table S3. </strong>Comparative genomics of micro- and macroalgae. This is a multi-sheet Excel workbook containing response screening tables comparing PFAM and GO variation in micro- compared to macroalgae. Related to Fig. 4.</p> <p><br><strong>Table S4.</strong> Unraveling the macroalgal adhesome. This is a multi-sheet Excel workbook containing macroalgal adhesome atlas and response screens among macroalgal phyla and between micro- and macroalgae. Related to Fig. 4.</p> <p><br><strong>Table S5. </strong>Endogenous viral elements in macroalgae. This is a multi-sheet Excel workbook containing VFAM count matrix and response screening results for comparisons of macroalgal VFAM counts by climate and habitat. This table also includes the EVOP matrix and response screening results comparing EVOPs found in the macroalgal genomes among climates and macroalgal tORFs with EsV-1-7 domains and their codomains. Related to Fig. 5.</p> <p> </p>
Supplementary Tables S1, S2, S3, S4, S5
<p>Supplementary Tables S1, S2, S3, S4, S5</p>
Mani Supplementary Table S4
<p>Mani Supplementary Table S4</p>
PWB Bone SR - Supplementary Table S4 (Sensitivity Analysis)
<p>Supplementary material for the manuscript entitled 'Bone Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'</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.