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6,175 results for “Composite”
Influence of in-plane shear on kink-plane orientation in a unidirectional fibre composite
<p>The x-ray scan data and video representation of those data used in the following paper to where the references should be given:</p> <p>Wilhelmsson, D., L.P. Mikkelsen, S. Fæster, L.E. Asp, X-ray tomography data of compression tested unidirectional fibre composites with different off-axis angles, <em>Data in Brief</em>, <strong>25</strong>, 104263. <a href="https://doi.org/10.1016/j.dib.2019.104263">https://doi.org/10.1016/j.dib.2019.104263</a>, 2019</p> <p>Wilhelmsson, D., Mikkelsen, L.P., Fæster, S., Asp, L.E, Influence of in-plane shear on kink-plane orientation in a unidirectional fibre composite. <em>Composites Part A, </em><strong>119</strong>, 283-290, <a href="https://doi.org/10.1016/j.compositesa.2019.01.018">https://doi.org/10.1016/j.compositesa.2019.01.018</a>, 2019.</p> <p>More details on the scans can be found in the paper.</p> <p>The data included is the a 13 mm LFoV and a central 3mm SFoV scan. The data is saved as a 3D tiff-stack as well as a 3D reconstructed file which can be opened in e.g. Avizo. There is data for 5 cases:</p> <p>0 deg, 5 deg, 10 deg, 15 deg and 20 deg</p> <p>For more details look into the references. A animation has been made for each can and is saved as mpg-files. In addition, the 5 animations can also be seen using the following links</p> <ul> <li>0 deg: <a href="https://youtu.be/41k5RsuNs4Y">https://youtu.be/41k5RsuNs4Y</a></li> <li>5 deg: <a href="https://youtu.be/FH7lj0mgJAY">https://youtu.be/FH7lj0mgJAY</a></li> <li>10 deg: <a href="https://youtu.be/oW5AR_Vjjxg">https://youtu.be/oW5AR_Vjjxg</a></li> <li>15 deg: <a href="https://youtu.be/twKY42CsRG4">https://youtu.be/twKY42CsRG4</a></li> <li>20 deg: <a href="https://youtu.be/_xtygVfAkSo">https://youtu.be/_xtygVfAkSo</a></li> </ul> <p> </p>
Additional data for "In-situ full field out of plane displacement and strain measurements at the micro-scale in single reinforcement composites under transverse load"
<p>The following document is an extension of the <em>In-situ full field out of plane displacement and strain measurements at the micro-scale in single reinforcement composites under transverse load</em> publication. It contains guidelines for the experimental results for the single fiber experiments and bundle of carbon fiber ones. The detailed data from the experiments is provided with this document as <em>CSV </em>files.</p>
Video #2797 from the wettability tests of Si/SiC and Si/ZrO2 composite at temperature up to 1750 C
<p>The <strong>fast-forward video</strong> was compiled based on the images recorded during the wettability test of <strong>Si/polycrystalline SiC (HeBoSint D100) </strong>(on the left side) and <strong>Si/polycrystalline ZrO<sub>2</sub> </strong>(on the right side) couples at temperature <strong>up to 1750<sup>o</sup>C</strong>. The test was performed at Foundry Research Institute facilities by using an experimental complex that has been designed for investigations of high temperature capillarity phenomena by various testing methods (classical sessile drop, pendant drop, dispensed drop, sandwiched drop, transferred drop, drop sucking, drop pushing, drop smearing or rubbing).</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</p>
Video #2804 from the wettability tests of Si-3.2B alloy/h-BN and Si-3.2B alloy/Zh-BN composite at temperature up to 1750 C
<p>The <strong>fast-forward video</strong> was compiled based on the images recorded during the wettability test of <strong>Si-3.2B alloy/h-BN (HeBoSint D100) </strong>(on the left side) and <strong>Si-3.2B alloy/h-BN composite (HeBoSint O120) </strong>(on the right side) couples at temperature <strong>up to 1750<sup>o</sup>C</strong>. The test was performed at Foundry Research Institute facilities by using an experimental complex that has been designed for investigations of high temperature capillarity phenomena by various testing methods (classical sessile drop, pendant drop, dispensed drop, sandwiched drop, transferred drop, drop sucking, drop pushing, drop smearing or rubbing).</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</p>
Video #2774 from the wettability tests of Si-5.7B alloy/h-BN and Si-5.7B alloy/h-BN composite at temperature up to 1750 C
<p>The <strong>fast-forward video</strong> was compiled based on the images recorded during the wettability test of <strong>Si-5.7B alloy/h-BN (HeBoSint D100) </strong>(on the left side) and <strong>Si-5.7B alloy/h-BN composite (HeBoSint O120) </strong>(on the right side) couples at temperature <strong>up to 1750<sup>o</sup>C</strong>. The test was performed at Foundry Research Institute facilities by using an experimental complex that has been designed for investigations of high temperature capillarity phenomena by various testing methods (classical sessile drop, pendant drop, dispensed drop, sandwiched drop, transferred drop, drop sucking, drop pushing, drop smearing or rubbing).</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</p>
Compositional heterogeneity and outgroup choice influence the internal phylogeny of the ants
<p>Data files including matrices, analysis logs, and results from phylogenetic analyses for manuscript titled "Compositional heterogeneity and outgroup choice influence the internal phylogeny of the ants".</p>
Research data supporting "Bioinspired fabrication of DNA-inorganic hybrid composites using synthetic DNA"
<p>Raw data supporting the publication:</p> <p>Kim E., et al., "Bio-inspired fabrication of DNA-inorganic hybrid composites using synthetic DNA.", ACS Nano, 2019, DOI: 10.1020/acsnano.8b06492.</p>
Vertical variation in epiphytic cryptogam species richness and composition in a primeval Fagus sylvatica forest
<p>"Data description.docx " contains the description of the data-file " Data_JVS_Vertical variation.xlsx" used for analyses.<br> </p>
Online Resources Chapter 3 - Decomposition of standing litter biomass in newly constructed wetlands associated with direct effects of sediment and water characteristics and the composition and activity of the decomposer community using Phragmites australis as a single standard substrate
<p>Online Resources to Chapter 3 "Decomposition of standing litter biomass in newly constructed wetlands associated with direct effects of sediment and water characteristics and the composition and activity of the decomposer community using Phragmites australis as a single standard substrate" of PhD thesis from Ciska Overbeek, "Peat formation on a former landfill - Production and decomposition of aquatic pioneer vegetation". </p> <p>Published by Overbeek et al in 2019 in Wetlands 39(1): 113-125. https://doi.org/10.1007/s13157-018-1081-y. </p>
Species richness, composition and microhabitat characteristics of non-volant terrestrial mammals in disturbed habitats
<b>Description: </b><p>A study on the small mammals communities was carried out in disturbed habitats aroundsabah, namely university malaysia sabah (ums), klias peat swamp forest reserve(klias), kawang forest reserve (kawang), kalabakan forest reserve (safe) and maliaubasin conservation area (maliau). the objectives were (1) to determine the speciesrichness and composition of non-volant small mammal communities in disturbedhabitats; (2) to characterize the microhabitat-use patterns of the non-volant smallmammal communities in disturbed habitats; and (3) to determine the microhabitatpreferences of the non-volant small mammal communities in disturbed habitats. the aimof this study was to investigate how the habitat disturbance affects the species richness,community compositions and microhabitat-use pattern of the small mammals. this studywas conducted from october 2014 to march 2015 with a total sampling effort of 540trap-nights. overall, 71 individuals representing 14 species were successfully caughtduring this study. the species richness peaked at safe, and then declined at the rest ofthe study sites. habitat variables analysis showed that all study sites were divided intothree distinctive groups in terms of habitat types. canonical discriminant functionanalysis were used to analyze the microhabitat preferences and use-pattern of smallmammals and results showed the preferences of small mammals towards shrub cover(rattus rattus and callosciurus notatus), litter cover (callosciurus prevostii and echinorexgymnurus) and herbs limber (tupaia gracilis). The locations of the traps have not been given longitute and latitute as there were set on animal trails approximately 20metres from one another. </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/150"><b>Species richness, composition and microhabitat characteristics of non-volant terrestrial mammals in disturbed habitats</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Universiti Malaysia Sabah (Grant)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiverstiy Council (Research licence NA)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3265704">here</a></p><p><b>Files: </b>This consists of 1 file: Veg_Volent_mammals.xlsx</p><p><b>Veg_Volent_mammals.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Vegetation cover</b> (described in worksheet Vegetation_cover)</p><p>Description: The estimated canopy cover and percentage of ground cover of traps across disturbed habitats</p><p>Number of fields: 19</p><p>Number of data rows: 180</p><p>Fields: </p><ul><li><b>Date</b>: Date the vegetation cover was collected (Field type: Date)</li><li><b>Location</b>: Where data was collected (Field type: Location)</li><li><b>Habitat_type</b>: Habitat type (Field type: Categorical)</li><li><b>Trap_station</b>: Transect and trap number (Field type: ID)</li><li><b>Canopy_cover</b>: Percentage of canopy cover (Field type: Numeric)</li><li><b>Canopy_height</b>: Canopy height (Field type: Numeric)</li><li><b>Herbs_Climber</b>: Any climbers seen on trees for example vines and lianas (Field type: Numeric)</li><li><b>Tree_GBH_>10CM</b>: Tree girth at breast height of 10 cm (Field type: Numeric)</li><li><b>Tree_GBH_>30CM</b>: Tree girth at breast height of 30 cm (Field type: Numeric)</li><li><b>Tree_GBH_>60CM</b>: Tree girth at breast height of 60 cm (Field type: Numeric)</li><li><b>Tree_GBH_>90CM</b>: Tree girth at breast height of 90 cm (Field type: Numeric)</li><li><b>Fallen_trees_bran</b>: Percentage cover (Field type: Numeric)</li><li><b>Bareground</b>: Percentage cover (Field type: Numeric)</li><li><b>Shrub</b>: Percentage cover (Field type: Numeric)</li><li><b>grass</b>: Percentage cover (Field type: Numeric)</li><li><b>Rock</b>: Percentage cover (Field type: Numeric)</li><li><b>Litter</b>: Percentage cover (Field type: Numeric)</li><li><b>Water</b>: Percentage cover (Field type: Numeric)</li><li><b>Twig</b>: Percentage cover (Field type: Numeric)</li></ul></li><li><p><b>Non volent mammal abundance</b> (described in worksheet Non_volent_mammals)</p><p>Description: The abundance of non-volant terrestrails mammals caught across disturbed habitats. Growth and sex measurements takens</p><p>Number of fields: 17</p><p>Number of data rows: 490</p><p>Fields: </p><ul><li><b>Date</b>: Date the vegetation cover was collected (Field type: Date)</li><li><b>Location</b>: Where data was collected (Field type: Location)</li><li><b>Transect</b>: Transect number (Field type: ID)</li><li><b>Habitat</b>: Habitat type (Field type: Categorical)</li><li><b>Trap_station</b>: Transect and trap number (Field type: ID)</li><li><b>Species</b>: Species of non volent mammals caught in trap (Field type: Taxa)</li><li><b>Weight</b>: Weight of caught non volent mammal (Field type: Numeric)</li><li><b>Ear</b>: Ear measurment of caught non volent mammal (Field type: Numeric)</li><li><b>Hind_leg</b>: Hind leg measurement of caught non-volent mammal (Field type: Numeric)</li><li><b>Head_body</b>: Head to body measurement of caught non volent mammal (Field type: Numeric)</li><li><b>Tail</b>: Tail length of caught non volent mammal (Field type: Numeric)</li><li><b>Sex</b>: Sex of caught non volent mammal (Field type: Categorical)</li><li><b>Sexual_activity</b>: Sexual maturity of caught non volent mammal (Field type: Categorical)</li><li><b>Age</b>: Age class of caught non volent mammal (Field type: Categorical)</li><li><b>Trap_condition</b>: Trap condition (Field type: Categorical)</li><li><b>Trap_open_closed</b>: Trap open or closed (Field type: Categorical)</li><li><b>Bait</b>: Bait taken or intact (Field type: Categorical)</li></ul></li></ol><p><b>Date range: </b>2014-10-22 to 2015-03-30</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Chordata<br> -  - Mammalia<br> -  -  - Erinaceomorpha<br> -  -  -  - Erinaceidae<br> -  -  -  -  - <i>Echinosorex</i><br> -  -  -  -  -  - <i>Echinosorex gymnura</i><br> -  -  - Rodentia<br> -  -  -  - Muridae<br> -  -  -  -  - <i>Lenothrix</i><br> -  -  -  -  -  - <i>Lenothrix canus</i><br> -  -  -  -  - <i>Leopoldamys</i><br> -  -  -  -  -  - <i>Leopoldamys sabanus</i><br> -  -  -  -  - <i>Maxomys</i><br> -  -  -  -  -  - <i>Maxomys rajah</i><br> -  -  -  -  -  - <i>Maxomys surifer</i><br> -  -  -  -  - <i>Niviventer</i><br> -  -  -  -  -  - <i>Niviventer cremoriventer</i><br> -  -  -  -  - <i>Rattus</i><br> -  -  -  -  -  - <i>Rattus rattus</i><br> -  -  -  - Sciuridae<br> -  -  -  -  - <i>Callosciurus</i><br> -  -  -  -  -  - <i>Callosciurus adamsi</i><br> -  -  -  -  -  - <i>Callosciurus notatus</i><br> -  -  -  -  -  - <i>Callosciurus prevostii</i><br> -  -  -  -  - <i>Sundasciurus</i><br> -  -  -  -  -  - <i>Sundasciurus lowii</i><br> -  -  - Scandentia<br> -  -  -  - Tupaiidae<br> -  -  -  -  - <i>Tupaia</i><br> -  -  -  -  -  - <i>Tupaia dorsalis</i><br> -  -  -  -  -  - <i>Tupaia glis</i><br> -  -  -  -  -  - <i>Tupaia gracilis</i><br></div><p></p>
Flights of a Multirotor UAS with Structural Faults: Failures on Composite Propeller(s)
<p>Data acquired from several flights of a custom-fabricated Hexacopter UAS with composite structure (carbon fiber arms and central hub) and composite (carbon fiber) propellers is presented here. The Hexacopter was assembled from a commercially available kit (Tarot 690) and was flown in manual and autonomous mode; take-offs and landings were under manual control and the bulk of the flight tests were conducted with the Hexacopter in a “Position Hold” mode. All flights were flown within the UAS flight cage at Parks College of Engineering, Aviation and Technology at Saint Louis University, for approximately 5 minutes each. Several failure conditions (different types of manually induced) on the composite (carbon fiber) propellers were tested, including failures on up to two propellers. The data set described in this article contains flight data from the onboard flight controller (Pixhawk) as well as three 3-axis accelerometers mounted on the arms of the Hexacopter UAS. The data is included as supplemental material.</p>
Changes in Phytochemical Composition and Antioxidant Activity in Nine sh2 Sweet Corn Genotypes during Maturation
<p>Table S1. Mean values ± SD of four biological replicates for the five evaluated traits across nine <em>sh2 </em>sweetcorn hybrids and the five maturity stages. Different lowercase letters as well as different uppercase letters indicate a significant difference at P < 0.05.</p>
Evaluation of the Performance and Cost-Effectiveness of Engineered Cementitious Composites (ECC) Produced from Region 6 Local Materials
<p>Corresponding data set for Tran-SET Project No. 17CLSU05. Abstract of the final report is stated below for reference:</p> <p>"The project objective is to develop cost-effective Engineered Cementitious Composites (ECC) with locally available ingredients in Region 6 to address the deficiencies observed in ordinary concrete materials. The study explored the utilization of two types of river sands (coarse and fine), two types of PVA fibers (long and short), four levels of cement replacement with Class F fly ash, and the implementation of recycled crumb rubber in the performance of ECC materials. A total of 24 mix designs were prepared and evaluated in compression, tension, and bending to assess its mechanical properties. Furthermore, the cracking characteristics of the materials produced were evaluated to assess the durability potential of these composites. Lastly, the cost of each mix design and the feasibility of ECC implementation in transportation infrastructure were assessed. The experimental results showed that implementing crumb rubber and/or increasing contents of fly ash in the mixtures produced a positive impact in the ductility of the materials. However, a tradeoff between ductility and strength was observed. Furthermore, the utilization of the different types of sand evaluated in this study produced minor effects in the mechanical properties of ECCs evaluated. The properties of the materials developed in this study were exceedingly superior than that of regular concrete. It was concluded that ECC materials are promising for the future of transportation infrastructure."</p>
Modelling riparian forest distribution and composition to entire river networks
<p><strong>Aim: </strong>Developing a methodology to map the distribution of riparian forests to entire river networks and determining the main environmental factors controlling their spatial patterns.</p> <p><strong>Location: </strong>Cantabrian region, northern Spain.</p> <p><strong>Methods: </strong>We mapped the riparian forests at a physiognomic and phytosociological levels by delimiting riparian zones and generating vegetation distribution models based on remote sensing data (Landsat 8 OLI and LiDAR PNOA). We built virtual watersheds to define a spatial framework where the catchment environmental information can be routed to each river reach, jointly with the vegetation map. In order to determine the drivers playing a significant role on the observed spatial patterns in the riparian forest we modelled interactions between these datasets of environmental information and riparian vegetation by using the Random Forest algorithm.</p> <p><strong>Results: </strong>The modelling results obtained reproduced a reliable variation of riparian forest structure and composition across Cantabrian watersheds. The produced maps were highly accurate, with more than a 70% overall accuracy for the forest occurrence. A clear differentiation between Eurosiberian (91E0 and 9160 habitats) and Mediterranean (92E0) riparian forests was shown on both sides of the mountain range. Topography and land use were the main drivers defining the distribution of riparian forest as a physiognomic unit. In turn, altitude, climate and percentage of pasture were the most relevant factors determining their composition (phytosociological approach).</p> <p><strong>Conclusions: </strong>Our study confirms that the anthropic control ultimately defines the distribution of the vegetation in the riparian area at a regional to local scale. Human disturbances constrain the extension of forest patches across their potential distribution defined by topoclimatic boundaries, which establish a clear limit between Mediterranean and Eurosiberian biogeographical regions.</p>
Data from: Microbial composition of enigmatic bird parasites: Wolbachia and Spiroplasma are the most important bacterial associates of quill mites (Acari: Syringophilidae)
<p>1) Table with all ASVs detected in study</p> <p>2) Phyloseq object including all ASVs, sample and metadata information</p> <p>For details please see online version of publication.</p>
Figure S1 in The amount of mulch increases the abundance, and its composition the species diversity of springtails in crop rotation on chernozem soils
Figure S1. Residual plots for GLMM
Figure 2 in Seasonal composition and population density of zooplankton in Lake Karaboğaz from the Kızılırmak Delta (Samsun, Turkey)
Figure 2. Cluster diagram based on salinity and electrical conductivity recorded at each station.
Figure 1 in Seasonal variations of abundance and live/dead compositions of copepods in Mersin Bay, northeastern Levantine Sea (eastern Mediterranean)
Figure 1. Locations of the sampling stations.
Figure 4 in The zooplankton composition of Lake Ladik (Samsun, Turkey)
Figure 4. Cluster analysis results of zooplankton for stations in Lake Ladik.
Figure 3 in The zooplankton composition of Lake Ladik (Samsun, Turkey)
Figure 3. Distribution of zooplankton groups in Lake Ladik during the research period.
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.