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105 results for “Material characterization”
Supplementary material 2 from: Song R, Zhang D, Gao J-W, Cheng X-F, Xie M, Li H, Wu Y-A (2019) Characterization of the complete mitochondrial genome of Brentisentis yangtzensis Yu & Wu, 1989 (Acanthocephala, Illiosentidae). ZooKeys 861: 1-14. https://doi.org/10.3897/zookeys.861.34809
: Data type: species data
Supplementary material 1 from: Song R, Zhang D, Gao J-W, Cheng X-F, Xie M, Li H, Wu Y-A (2019) Characterization of the complete mitochondrial genome of Brentisentis yangtzensis Yu & Wu, 1989 (Acanthocephala, Illiosentidae). ZooKeys 861: 1-14. https://doi.org/10.3897/zookeys.861.34809
: Data type: molecular data
Supplementary material 4 from: Song R, Zhang D, Gao J-W, Cheng X-F, Xie M, Li H, Wu Y-A (2019) Characterization of the complete mitochondrial genome of Brentisentis yangtzensis Yu & Wu, 1989 (Acanthocephala, Illiosentidae). ZooKeys 861: 1-14. https://doi.org/10.3897/zookeys.861.34809
: Data type: molecular data
Supplementary material 3 from: Song R, Zhang D, Gao J-W, Cheng X-F, Xie M, Li H, Wu Y-A (2019) Characterization of the complete mitochondrial genome of Brentisentis yangtzensis Yu & Wu, 1989 (Acanthocephala, Illiosentidae). ZooKeys 861: 1-14. https://doi.org/10.3897/zookeys.861.34809
: Data type: molecular data
Unlocking hidden mineral resources: Characterization and potential of bitterns as alternative sources of critical raw materials_dataset
Open the record for dataset details and reuse information.
Chapter 5 Development and characterization of a mycelium-based leather-like material
Open the record for dataset details and reuse information.
Supplementary material 1 from: Sandoval-Padilla I, Zamora-Tavares MdP, Ruiz-Sánchez E, Pérez-Alquicira J, Vargas-Ponce O (2022) Characterization of the plastome of Physalis cordata and comparative analysis of eight species of Physalis sensu stricto. PhytoKeys 210: 109-134. https://doi.org/10.3897/phytokeys.210.85668
Tables S1, S2 and Figures S1–S3
Supplementary material 1 from: Wan W-J, Du S-J, Hansson C, Liu W-X (2023) A new species of Diglyphus Walker (Hymenoptera, Eulophidae) from China, with morphological characterizations and molecular analysis. ZooKeys 1148: 65-78. https://doi.org/10.3897/zookeys.1148.98853
The genetic distance between three Diglyphus species based on the COI gene
Supplementary material 1 from: Al Tall Y, Al-Nassar B, Abualhaijaa A, Sabi SH, Almaaytah A (2023) The design and functional characterization of a novel hybrid antimicrobial peptide from Esculentin-1a and melittin. Pharmacia 70(1): 161-170. https://doi.org/10.3897/pharmacia.70.e97116
RP-HPLC analysis Chromatogram of BKR1 peptide
Dataset and Code for the Paper "Reinforced Active Learning for CVD-Grown Two-Dimensional Materials Characterization"
<p>This repository contains the original data and code for the paper titled as "Reinforced Active Learning for CVD-Grown Two-Dimensional Materials Characterization" published on <em>IISE Transactions</em>.</p>
Supplementary material 1 from: Wu J, Xu D, Wei X, Liao W, Li X, Zhuo Z (2023) Characterization of the complete mitochondrial genome of the longhorn beetle, Batocera horsfieldi (Coleoptera, Cerambycidae) and its phylogenetic analysis with suitable longhorn beetles. ZooKeys 1168: 387-402. https://doi.org/10.3897/zookeys.1168.105328
Batocera horsfieldi and 22 species
Genomic characterization and curation of UCEs improves species tree reconstruction: Supplementary Material S1
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Supplementary material for manuscript: Microcomputed X-ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives
<p>This data contains the supplemental information that will be accessible to the public from the paper “Microcomputed X-ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives”. The data set contains the reconstructed slices for the 3D images of three different high explosives including: HMX-HTPB, PBX 9501 and PBX 9502. The data sets are folders of reconstructed tiffs showing the microstructure (crystals, binder, voids) and a segmented data set of each. Finally, a .gif movie is also present that plays the slices sequentially. The folders contain the voxel size information. See the manuscript for more details.</p>
Characterization and impact of fiber size variability on the mechanical properties of fiber networks with an application to paper materials
<p>This repository contains data to</p> <p>Characterization and impact of fiber size variability on the mechanical properties of fiber networks with an application to paper materials</p> <p>In prep. 2021.</p> <p> </p> <p>There are a few key files to note:</p> <ul> <li><a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/mainArticleE.m?versionId=e434d0da-db30-4588-a807-de72c4187468">mainArticleE.m </a><br> Generates a number of plots from the manuscript, and also contains calls to the functions that can be used to study how the copula formulation can be used and worked with.</li> </ul> <p> </p> <ul> <li><a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/calculationSequenceForArticle.m?versionId=be372e6e-6eda-4ba5-b78b-2c8966de45f0">calculationSequenceForArticle.m </a><br> Shows the steps performed in the fitting and sampling that are presented in the manuscript.</li> </ul> <p> </p> <ul> <li><a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/data.zip">data.zip </a><br> Contains all of the data. Raw machine outputs, condensed outputs (several runs collected into a single file), the ESI simulations and the result files used to generate the plots. The full solution files are not included as they would have taken way too much space. However, the input files can be found in each repository.</li> </ul> <p> </p> <ul> <li><a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/v1.0.zip?versionId=8134396c-687b-4c31-a220-d27676f391cf">v1.0.zip </a><br> Output from <a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/calculationSequenceForArticle.m?versionId=be372e6e-6eda-4ba5-b78b-2c8966de45f0">calculationSequenceForArticle.m </a>just before submission.</li> </ul> <p> </p> <p>The FEM files are not included (MyPacking.exe - an internal tool I do not own the rights to, and the linked ANSYS executable which I likewise do not own the rights to).</p> <p>Also absent is the "pulpDistr" package (will be a seperate ZENODO submission)-</p> <p> </p> <p> </p> <p>Should something not work, please do get in touch.</p> <p> </p> <p>/A. Brandberg, 2021-08-10</p> <p> </p> <p> </p>
Characterization of Cancer Tissue Using 3D Biosynthetic Material
ClinicalTrials.gov study NCT02678078. IPD Sharing: YES. Countries: 1. Publications: 0.
SUPPLEMENTARY MATERIALS - SYNTHESIS OF ZEOLITE-GEOPOLYMER COMPOSITES ORIGINATING FROM DIATOMACEOUS EARTH: CHARACTERIZATION AND EVALUATION OF THE ADSORPTIVE POTENTIAL
Open the record for dataset details and reuse information.
Characterization of Biofilm Formation, Growth, and Gene Expression on Different Materials and Environmental Conditions in Microgravity (Gene expression of Pseudomonas aeruginosa biofilms)
Microorganisms' natural ability to live as organized multicellular communities – also known as biofilms – provides them with unique survival advantages. For instance, biofilms are protected against environmental stresses thanks to their extracellular matrix, which could contribute to persistent infections after treatment. Biofilms are also capable of strongly attaching to surfaces, where their metabolism byproducts could lead to surface material degradation. Furthermore, microgravity can alter biofilm behavior in unexpected ways, making the presence of biofilms in space a risk for both astronauts and spaceflight hardware. Despite the efforts to eliminate microorganism contamination from spacecrafts surfaces, it is impossible to prevent human-associated bacteria or fungus from eventually establishing biofilm surface colonization. Nevertheless, by understanding the changes that biofilms undergo in microgravity, it is possible to identify key differences and pathways that could be targeted to significantly reduce biofilm formation. The Space Biofilms project, performed at the International Space Station, contributes to such understanding by characterizing the morphology and gene expression of bacterial and fungal biofilms formed in microgravity with respect to ground controls. Pseudomonas aeruginosa was used as model organism for the bacterial morphology and transcriptomic studies, while Penicillium rubens was used for the fungal morphology study. Bacterial biofilm formation was characterized at one, two, and three days of incubation (37°C) over six different materials: stainless steel 316, passivated stainless steel 316, a lubricant impregnated surface (LIS), catheter grade silicone with and without a linear microtopography, and cellulose membrane.
Characterization of Biofilm Formation, Growth, and Gene Expression on Different Materials and Environmental Conditions in Microgravity (Morphology of Penicillium rubens biofilms)
Microorganisms' natural ability to live as organized multicellular communities – also known as biofilms – provides them with unique survival advantages. For instance, biofilms are protected against environmental stresses thanks to their extracellular matrix, which could contribute to persistent infections after treatment. Biofilms are also capable of strongly attaching to surfaces, where their metabolism byproducts could lead to surface material degradation. Furthermore, microgravity can alter biofilm behavior in unexpected ways, making the presence of biofilms in space a risk for both astronauts and spaceflight hardware. Despite the efforts to eliminate microorganism contamination from spacecrafts surfaces, it is impossible to prevent human-associated bacteria or fugus from eventually establishing biofilm surface colonization. Nevertheless, by understanding the changes that biofilms undergo in microgravity, it is possible to identify key differences and pathways that could be targeted to significantly reduce biofilm formation. The Space Biofilms project, performed at the International Space Station, contributes to such understanding by characterizing the morphology and gene expression of bacterial and fungal biofilms formed in microgravity with respect to ground controls. Pseudomonas aeruginosa was used as model organism for the bacterial morphology and transcriptomic studies, while Penicillium rubens was used for the fungal morphology study. The data presented on this study page represent the morphology of Penicillium rubens using the confocal microscopy assay.
Characterization of Biofilm Formation, Growth, and Gene Expression on Different Materials and Environmental Conditions in Microgravity (Morphology of Pseudomonas aeruginosa biofilms)
Microorganisms' natural ability to live as organized multicellular communities – also known as biofilms – provides them with unique survival advantages. For instance, biofilms are protected against environmental stresses thanks to their extracellular matrix, which could contribute to persistent infections after treatment. Biofilms are also capable of strongly attaching to surfaces, where their metabolism byproducts could lead to surface material degradation. Furthermore, microgravity can alter biofilm behavior in unexpected ways, making the presence of biofilms in space a risk for both astronauts and spaceflight hardware. Despite the efforts to eliminate microorganism contamination from spacecrafts surfaces, it is impossible to prevent human-associated bacteria or fugus from eventually establishing biofilm surface colonization. Nevertheless, by understanding the changes that biofilms undergo in microgravity, it is possible to identify key differences and pathways that could be targeted to significantly reduce biofilm formation. The Space Biofilms project, performed at the International Space Station, contributes to such understanding by characterizing the morphology and gene expression of bacterial and fungal biofilms formed in microgravity with respect to ground controls. Pseudomonas aeruginosa was used as model organism for the bacterial morphology and transcriptomic studies, while Penicillium rubens was used for the fungal morphology study. The data presented on this study page represent the morphology of Pseudomonas aeruginosa using the confocal microscopy assay.
Supplementary Material to Dissertation Thesis Characterization of Nipah virus in differentiated bronchial epithelial cells cultured at the air-liquid interface and Cedar virus reverse genetics
<p>Supplementary Material to Dissertation Thesis "Characterization of Nipah virus in differentiated bronchial epithelial cells cultured at the air-liquid interface and Cedar virus reverse genetics" of Martin Müller</p>
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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.