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3,576 results for “strain”
Data supporting the publication "Observation of Landau levels and chiral edge states in photonic crystals through pseudomagnetic fields induced by synthetic strain"
<p>Data supporting the publication "Observation of Landau levels and chiral edge states in photonic crystals through pseudomagnetic fields induced by synthetic strain".</p> <p>Version 2: updated Figure 1c1</p>
Data for: Template-Directed Synthesis of Strained meso-meso-Linked Porphyrin Nanorings
<p>Calculated molecular xyz coordinates from molecular dynamics simulations, StrainViz calculations and screening of ligand designs.</p>
Sample videos of DNA blends subject to strains of varying strain rates
Open the record for dataset details and reuse information.
Raw data of the speed tracking of the KT2440 strain
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Raw data of the speed tracking of the UWC1 strain
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Symbiochlorum biodiversity based on strains and environmental sequences
<p>Datasets associated with the publication of biodiversity discovery in the Symbiochlorum lineage based on new culture strains and environmental sequence data mining.</p> <p>1. V4 ASV sequences<br>2. V9 ASV sequences</p> <p>3. partial 18S sequences from transcriptome</p> <p>4. full length 18S alignments with V4 added<br>5. full length 18S alignments with V9 added</p> <p>6. trimmed alignment V4 Symbiochloraceae used for distance calculation<br>7. trimmed alignment V9 Symbiochloraceae used for distance calculation</p> <p>8. original tree V4<br>9. original tree V9</p> <p> </p>
The Kinetic Analogue of the Pressure-Strain Interaction
<p>Simulation input files and source code for:</p> <p>The Kinetic Analogue of the Pressure-Strain Interaction. Conley, S. A., Juno, J., TenBarge, J. M., Barbhuiya, M. H., Cassak, P. A., Howes, G. G., and Lickho, E. PoP 2024.</p> <p>The installation and usage instructions for Gkeyll can be found at https://gkeyll.readthedocs.io/en/latest/</p> <p>Specific data files are available on request.</p>
Datasets "Exploring the Impact of Apocarotenoids on Pathogenic Fusarium oxysporum f.sp. lini and Endophytic Fo47 strains".
<p><strong>Dataset 1 comprises files related to qPCR analysis, measurements of mass and spore counts, and assessments of colony size. Dataset 2 includes photographic documentation of Fol and Fo47 treatments, while Dataset 3 contains microscopic images of Fol and Fo47 following treatments. The UPLC dataset provides files detailing the analysis of fusaric acid production. These datasets support the findings presented in the article <em>'Exploring the Impact of Apocarotenoids on Pathogenic Fusarium oxysporum f. sp. lini and Endophytic Fo47 Strains.'</em> Comprehensive information regarding the methods and experimental designs can be found within the article.</strong></p>
Fonseca_et_al_submitted_to_GRL_interseismic_strain_rate_accumulation_near_Lisbon_DATA_FILES
<p>Data used in the figures of Fonseca et al. (submitted to GRL), Interseismic Strain Accumulation near Lisbon from Space Geodesy</p>
FIGURE Phylogenetic relationships of the Coelastrella genus inferred from the 18S-ITS1-5.8S-ITS2 region. The Neighbor-Joining (NJ), Maximum Likelihood (ML) bootstrap values and Bayesian posterior probabilities (PP) are presented at the nodes (NJ/ML/PP). Only values above 75 are shown. Strains provided in this study are indicated in bold font. Authentic strains marked with asterisks. The scale bar represents the number of substitutions per site. The GenBank accession numbers of Coelastrella can be found in the Table 3. in Morphological and phylogenetic relations of members of the genus Coelastrella (Scenedesmaceae, Chlorophyta) from the Ural and Khentii Mountains (Russia, Mongolia)
FIGURE Phylogenetic relationships of the Coelastrella genus inferred from the 18S-ITS1-5.8S-ITS2 region. The Neighbor-Joining (NJ), Maximum Likelihood (ML) bootstrap values and Bayesian posterior probabilities (PP) are presented at the nodes (NJ/ML/PP). Only values above 75 are shown. Strains provided in this study are indicated in bold font. Authentic strains marked with asterisks. The scale bar represents the number of substitutions per site. The GenBank accession numbers of Coelastrella can be found in the Table 3.
FIGURE. Variable positions in the ITS2 secondary structure of some Coelastrella sensu lato species. The ITS2 model of Coelastrella striolata strain CAUP H 3602 (JX513881) was used to map sequence differences. Variable positions of analyzed strains (GenBank numbers can be found in Table 3, 4 are given next to the main structure and are marked in bold. Hemi- Compensatory Base Changes in conservative regions are circled and Compensatory Base Change is contoured. Sequences of strains with GenBank numbers JX513879 (C. aeroterrestrica), JX513882 (C. terrestris), JX513884 (C. rubescens), MH176120 (C. rubescens var. oocystiformis), JX513880 (C. multistriata), JX513887 (C. oocystiformis) were used as representatives of Coelastrella species. The strains analyzed in this study are underlined. in Morphological and phylogenetic relations of members of the genus Coelastrella (Scenedesmaceae, Chlorophyta) from the Ural and Khentii Mountains (Russia, Mongolia)
FIGURE. Variable positions in the ITS2 secondary structure of some Coelastrella sensu lato species. The ITS2 model of Coelastrella striolata strain CAUP H 3602 (JX513881) was used to map sequence differences. Variable positions of analyzed strains (GenBank numbers can be found in Table 3, 4 are given next to the main structure and are marked in bold. Hemi- Compensatory Base Changes in conservative regions are circled and Compensatory Base Change is contoured. Sequences of strains with GenBank numbers JX513879 (C. aeroterrestrica), JX513882 (C. terrestris), JX513884 (C. rubescens), MH176120 (C. rubescens var. oocystiformis), JX513880 (C. multistriata), JX513887 (C. oocystiformis) were used as representatives of Coelastrella species. The strains analyzed in this study are underlined.
FIGURE. Morphology of the studied Coelastrella strains. (4) IRK–A 2. (5) IRK–A 173. (А–D) vegetative cells and autosporangia. (E–G) cell wall ribs. (H) morphology of the old cells. Scale bar: 10μm. in Morphological and phylogenetic relations of members of the genus Coelastrella (Scenedesmaceae, Chlorophyta) from the Ural and Khentii Mountains (Russia, Mongolia)
FIGURE. Morphology of the studied Coelastrella strains. (4) IRK–A 2. (5) IRK–A 173. (А–D) vegetative cells and autosporangia. (E–G) cell wall ribs. (H) morphology of the old cells. Scale bar: 10μm.
FIGURE. SEM images of the studied Coelastrella strains: (A) SYKOA Ch-045-09. (B) SYKOA Ch-047-11. (C) SYKOA Ch-072-17. (D) IRK-A 173. (E) IRK-A 2. Scale bar: 10μm. in Morphological and phylogenetic relations of members of the genus Coelastrella (Scenedesmaceae, Chlorophyta) from the Ural and Khentii Mountains (Russia, Mongolia)
FIGURE. SEM images of the studied Coelastrella strains: (A) SYKOA Ch-045-09. (B) SYKOA Ch-047-11. (C) SYKOA Ch-072-17. (D) IRK-A 173. (E) IRK-A 2. Scale bar: 10μm.
Complete Genome Sequence of an Aeromonas rivuli Strain Isolated from Ready-to-Eat Food - Data Files
<p>This dataset contains input and intermediate files of the bcgTree analysis described in the Schwartz <em>et al</em>. MRA manuscript entitled “Complete Genome Sequence of an <em>Aeromonas rivuli</em> Strain Isolated from Ready-to-Eat Food”.</p> <table> <tbody> <tr> <td> <p><strong>File name</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>‘<em>Aeromonadaceae</em> identifier’.fa</p> </td> <td> <p>Amino acid FASTA file of the translated CDS sequences of a strain X (bcgTree input file)</p> </td> </tr> <tr> <td> <p>full_alignment.concat.fa</p> </td> <td> <p>Alignment of the concatenated amino acid sequences of 107 single-copy core genes that is used for phylogenetic tree calculation in bcgTree (bcgTree intermediate file)</p> </td> </tr> </tbody> </table> <p> </p> <p>In the bcgTree files, the <em>Aeromonadaceae</em> sequences were named/abbreviated as follows:</p> <table> <tbody> <tr> <td> <p><strong>Sequence name in the bcgTree file</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>AAZUK01-1</p> </td> <td> <p><em>Tolumonas lignilytica </em>BRL6-1</p> </td> </tr> <tr> <td> <p>Aeromonas-caviae</p> </td> <td> <p><em>Aeromonas caviae </em>NCTC 12244</p> </td> </tr> <tr> <td> <p>Aeromonas-dhakensis</p> </td> <td> <p><em>Aeromonas dhakensis </em>CIP 107500</p> </td> </tr> <tr> <td> <p>Aeromonas-hydrophila</p> </td> <td> <p><em>Aeromonas hydrophila </em>ATCC 7966</p> </td> </tr> <tr> <td> <p>Aeromonas-rivuli</p> </td> <td> <p><em>Aeromonas rivuli </em>DSM 22539</p> </td> </tr> <tr> <td> <p>Aeromonas-rivuli-20-VB00005</p> </td> <td> <p><em>Aeromonas rivuli </em>20-VB00005</p> </td> </tr> <tr> <td> <p>Aeromonas-veronii</p> </td> <td> <p><em>Aeromonas veronii </em>CECT 4257</p> </td> </tr> <tr> <td> <p>CP001616-1</p> </td> <td> <p><em>Tolumonas auensis </em>DSM 9187</p> </td> </tr> <tr> <td> <p>JACHGR01-1</p> </td> <td> <p><em>Tolumonas osonensis </em>DSM 22975</p> </td> </tr> </tbody> </table>
Simulations from 'Estimating the relative proportions of SARS-CoV-2 strains from wastewater samples'
<p>Simulations used in "Estimating the relative proportions of SARS-CoV-2 strains from wastewater samples"</p>
Fig. 2. Phylogenomic tree showing the relationship between strain CTD02-10-2T in Chryseoglobus indicus sp. nov., isolated from deep sea water
Fig. 2. Phylogenomic tree showing the relationship between strain CTD02-10-2T and closely related species. The phylogenetic relationship of the related genomes was determined using UBCG pipeline3 tool with GTR + CAT model based on concatenated alignment of 92 core genes. Genome sequences for each of the type strains are available from the NCBI databases, with the GenBank accession numbers shown in parentheses. Tropheryma whipplei Neuro14T (CAUR000000000) was used as an outgroup. Bootstrap values (expressed as percentages of 1000 replications) over 70% are shown at branching nodes. Bar, 0.05 substitutions per nucleotide position.
Fig. 1. Neighbour-joining phylogenetic tree derived using 16S rRNA gene sequences, showing the relationships between strain HNM0687T in Gordonia mangrovi sp. nov., a novel actinobacterium isolated from mangrove soil in Hainan
Fig. 1. Neighbour-joining phylogenetic tree derived using 16S rRNA gene sequences, showing the relationships between strain HNM0687T and other type strains of the genus Gordonia. Only values above 50% are shown. Asterisks represent clades that were also recovered by the maximum-likelihood and maximum-parsimony methods. Bar, one nucleotide substitution per 100 nucleotides.
Fig. 1. Phylogenetic relationship between strain Gsoil 809T in Arachidicoccus ginsenosidivorans sp. nov., with ginsenosideconverting activity isolated from ginseng cultivating soil
Fig. 1. Phylogenetic relationship between strain Gsoil 809T and other related species of the family Chitinophagaceae. The tree was reconstructed using the maximum-likelihood method based on 16S rRNA gene sequences. Bootstrap values (expressed as percentages of 1000 replications)>60 % are shown at branch points. Filled circles indicate that the corresponding nodes were also recovered in the tree generated with maximum-parsimony and neighbour-joining algorithms. Thermoflavifilum aggregans P373T (GenBank accession number AM749771) was used as an outgroup. Bar, 0.05 substitutions per nucleotide position.
Classification of a synthetic strain rate dataset acquired with Distributed Acoustic Sensing (DAS).
<p>The videos show the real-time acquisition of a strain rate dataset acquired with a Distributed Acoustic Sensing (DAS). The observations are collected per bloc of 4s and are segmented in six sources: noise, pedestrian, impact, backhoe, compactor, leaks. The first video shows the source identification and segmentation using a Random Forest classifier; the second video combines a Random Markov Field to the Random Forest classifier.</p>
Genetic and phenotypic diversity of banana-infecting Fusarium strains
<p>Genetic and phenotypic diversity of banana-infecting <em>Fusarium</em> strains. Dataset1 contains molecular diagnosis and pathogenicity assays of Fusarium isolates. Dataset2 describes the sequenced isolates used in the study.</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.