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6,175 results for “composites”
SBC LTER: Reef: Benthic Composition Experiment: fish, algal, and invertebrate density
These data describe the average size and abundance of fishes, understory algae, and benthic invertebrates across 5 sampling sites (Arroyo Quemado, Naples, Isla Vista, Mohawk, Carpentaria) along the Santa Barbara Coast and 2 sites at Santa Cruz Island (San Pedro Point, and Cavern Point). Sampling began September 2021 and is conducted seasonally every 3 months. Data are collected within two circular plots at each sampling site. Plot 1 represents the control plot with no giant kelp removal and plot 2 represents the kelp clearing plot where all giant kelp are removed. Additionally, understory algae are removed seasonally from half of the rock plates for both plots (Plot 1 rock plates #1-6 and Plot 2 rock plates #13-18).
SBC LTER: Reef: Benthic Composition Experiment: recruitment sampling
These data quantify the richness and abundance of mobile invertebrates settling and recruiting on brushes across 5 sampling sites (Arroyo Quemado, Naples, Isla Vista, Mohawk, Carpentaria) along the Santa Barbara Coast and 2 sites at Santa Cruz Island (San Pedro Point, and Cavern Point). Sampling began December 2021 and is conducted seasonally every 3 months. Data are collected from brushes that are attached to randomly chosen rock plates within two circular plots at each sampling site. Plot 1 represents the control plot with no giant kelp removal and plot 2 represents the kelp clearing plot where all giant kelp are removed. Additionally, understory algae are removed seasonally from half of the rock slates for both plots (Plot 1 rock plates #1-6 and Plot 2 rock plates #13-18). Recruitment is measured as a proportion of the number of individuals found on the recruitment brushes.
SBC LTER: Reef: Benthic Composition Experiment: hourly photon irradiance at the seafloor
Photosynthetically Active Radiation (PAR) sensors measure photosynthetic light levels in both water and air in micromoles of photons per meter squared per minute (μmol m-2 min-1). PAR light sensors are deployed on the seafloor at the center of each BCE plot across 5 sampling sites (Arroyo Quemado, Naples, Isla Vista, Mohawk, Carpentaria) along the Santa Barbara Coast and 2 sites at Santa Cruz Island (San Pedro Point, and Cavern Point). Sampling began December 2021 and is conducted seasonally every 3 months. An additional sensor is placed in air on the roof at the Marine Science Biotech building near Campus Point which acts as a calibration control when analyzing underwater light measurements. Data collected from these PAR sensors are used to model primary production by both giant kelp and understory algae in terms of light availability and to compare the differences between control and experimental plots cleared of giant kelp. Plot 1 represents the control plot with no giant kelp removal and plot 2 represents the kelp clearing plot where all giant kelp are removed. Additionally, understory algae are removed seasonally from half of the rock slates for both plots (Plot 1 rock plates #1-6 and Plot 2 rock plates #13-18). Continuous light data are contained in one table depicting seasonally collected light measurements across all sites and sampling periods.
Ionic composition of particulate matter (PM10) from high-volume sampling over the Southern Ocean during the austral summer of 2016/2017 on board the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>Aerosol particles originate from a variety of sources (Tomasi and Lupi, 2017). Information on particle chemical composition can be utilized to access particle origin. During the Antarctic Circumnavigation Expedition (ACE) cruise around the Southern Ocean, off-line filter sampling of ambient air was performed. Filters were stored on the ship (at -20 degrees C) and after the cruise concluded analysed at Leibniz-Institute for Tropospheric Research (TROPOS) concerning ionic composition of sampled material. Here, we give mass concentrations for inorganic ions (chloride, sodium, potassium, magnesium, calcium, ammonium, nitrate, sulphate, and bromide), organic constituents (methane-sulfonic acid and oxalate), and total filter load of particles with a mobility diameter smaller 10 micrometers (PM10) for each 24 hour-sampled filter.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ACESPACE_particulate_matter_pm10_ionic_composition_highvolume.csv, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This ionic composition of particulate matter (PM10) from high-volume sampling dataset during ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
SPARC Data Initiative monthly zonal mean composition measurements from stratospheric limb sounders (1978-2018)
<p>The SPARC Data Initiative dataset is the most comprehensive compilation of vertically resolved stratospheric composition measurements to date and consists of four decades of monthly zonal mean climatologies (1978-2018) from a range of satellite limb sounders including LIMS, SAGE I/II/III, HALOE, UARS-MLS, POAMII/III, OSIRIS, SMR, MIPAS, GOMOS, SCIAMACHY, ACE-FTS, ACE-MAESTRO, Aura-MLS, HIRDLS, SMILES, OMPS-LP and SAGE III-ISS. The dataset includes most major long-lived trace gases (O<sub>3</sub>, H<sub>2</sub>O, N<sub>2</sub>O, CH<sub>4</sub>, CCl<sub>3</sub>F, and CCl<sub>2</sub>F<sub>2</sub>), transport tracers (HF, SF<sub>6</sub>, HCl, CO, HNO<sub>3</sub>, NOy), and shorter-lived trace gases important to stratospheric chemistry including nitrogens (NO, NO<sub>2</sub>, NOx, N<sub>2</sub>O<sub>5</sub>,and HNO<sub>4</sub>), halogens (BrO, ClO, ClONO<sub>2</sub> and HOCl), and other minor species (OH, HO<sub>2</sub>, CH<sub>2</sub>O, CH<sub>3</sub>CN). The observations considered have been compiled in units of volume mixing ratio (VMR) and on a common latitude-pressure grid, covering the region from the upper troposphere to the lower mesosphere (300-0.1 hPa) with a latitudinal resolution of 5 degrees.</p> <p> </p>
Design of Multifunctional Composites: New Strategy to Save Energy and Improve Mechanical Performance
<p>dataset on </p> <p>Dynamic Mechanical Analysis, Electro-Mechanical Measurement, Dynamic Light Scattering</p> <p>FTIR spectroscopy, Thermogravimetric analysis, Differential Scanning Calorimetry,</p> <p>Electro-Temperature Measurement, Thermal Image Camera, Water sorption measurement,</p> <p>Transmission Electron Microscopy and Stress Strain</p>
Composite Beams Database
<p>1. <a href="https://zenodo.org/api/files/a457c2ad-d898-4726-b65e-6a635e0ed6af/Composite_Beams_Database_v1.0.xlsx">Composite Beam Database v1.0</a></p> <p>A database of composite steel beams that are part of moment-resisting frames is provided. The database consists of 97 tests conducted over the last 30 years. The collection and metadata methodology are thoroughly presented in El Jisr et al. (2019). </p> <p>Each column in the spreadsheet is defined in the "Definitions" tab along with accompanying figures in the "Figures" tab. The database includes details of the composite slab (dimensions, material strength, shear studs) as well as the calculation of the plastic moment resistance and elastic stiffness of the sections as per European, US and Japanese provisions. A comparison between the code-based and test values is also shown. Furthermore, the database includes the plastic deformation capacity of the sections based on the first cycle envelope.</p> <p>2.<a href="https://zenodo.org/api/files/a457c2ad-d898-4726-b65e-6a635e0ed6af/Digitized_Moment_Rotation_Data_v1.0.zip">Digitized Moment Rotation Data v1.0</a></p> <p>Full digitized histories of the moment-chord rotation of the composite beams are provided.</p>
Photorheological study of conductive polyaniline/acrylic composites
<p>This data set corresponds to the analyses carried out in the following article: Arias-Ferreiro, G.; Ares-Pernas, A.; Lasagabáster-Latorre, A.; Aranburu,N.; Guerrica-Echevarria, G.; Dopico-García,M.S.; Abad,M.-J. Printability Study of a Conductive Polyaniline/Acrylic Formulation for 3D Printing. Polymers 2021, 13, 2068. https://doi.org/10.3390/polym13132068</p>
Polyaniline conductive composites with lignin.
<p>This data set corresponds to the analyses carried out in the following article: Arias-Ferreiro, G., Lasagabáster-Latorre, A., Ares-Pernas, A., Ligero, P., García-Garabal, S. M., Dopico-García, M. S., & Abad, M. J. (2022). <br>Lignin as a High-Value Bioaditive in 3D-DLP Printable Acrylic Resins and Polyaniline Conductive Composite. Polymers, 14(19), 4164. <br>DOI:10.3390/polym14194164</p>
Confocal Microscopy Visualizes Particle-Crack Interactions in Epoxy Composites with Optical Force Probe-Crosslinked Rubber Particles
<p>Data (*.csv and *.lif) corresponding to Figures 2-7 of the manuscript and Figures S1-S2 of the Supporting Information.</p>
Artisanal and farmer bread making practices differently shape fungal species community composition in French sourdoughs
<p>Datasets describing the fungal species diversity, microbial density and acidity of French sourdoughs, phenotypic variation of Kazachstania bulderi and Kazachstania humilis strains as well as the diversity of bread-making practices of 40 bakers and farmers-bakers.The data were collected, analyzed, and reported within the following publication :</p> <p>Elisa Michel, Estelle Masson, Sandrine Bubbendorf, Léocadie Lapicque, Thibault Nidelet, Diego Segond, Stéphane Guézenec, Thérèse Marlin, Hugo deVillers, Olivier Rué, Bernard Onno, Judith Legrand, Delphine Sicard and the participating bakers: <strong>Artisanal and farmer bread making practices differently shape fungal species community composition in French sourdoughs</strong>. PCI Evol. Biol.</p> <p> </p>
Data from: "Alteration of the gut microbiota's composition and metabolic output correlates with COVID-19-like severity in obese NASH hamsters"
<p>This dataset contains all data collected and used for the publication : "Alteration of the gut microbiota’s composition and metabolic output correlates with COVID-19-like severity in obese NASH hamsters". Besides the Readme, it contains 11 files.</p> <p><br> Excel files with classification (i.e. genes according to their fold induction or repression) are provided. Data include different conditions with varying number of samples per group. Data are structured according to employed methods and then stratify the data obtained within the individual work packages.</p>
Laboratory-measured and X-ray CT-derived volumetric composition of a permafrost core
<p>This dataset contains data on the volumetric composition of a permafrost core which has been drilled in a Yedoma upland in northeast Siberia (72.36613 N, 126.27272 E) in September 2017. This dataset supplements a research article to be submitted to the scientific journal <em>The Cryosphere</em>. It contains the following files:</p> <p><strong><em>volumetric_contents_sampleRes_lab+CT.csv</em> </strong><br> Contains the volumetric contents of total ice, organic, and mineral measured in the laboratory at AWI Potsdam at a coarse resolution. It further contains the volumetric contents of gas, excess ice, and two sediment phases (A,B) derived from a CT scan at UFZ Halle, downsampled to the resolution of the laboratory samples.</p> <p><em><strong>volumetric_contents_highRes_CT.csv</strong></em><br> Contains the volumetric contents of gas, excess ice, and two sediment phases (A,B) derived from a CT scan at UFZ Halle at the original resolution of 50µm.</p> <p><em><strong>regression analysis_paper.py</strong></em><br> This pyhton script uses the above listed input files to perform and evaluate a regression analysis<strong><em> </em></strong>of the CT data against the laboratory data. The regression result is the composition of the CT-derived sediment phases (A,B) in terms of pore ice, organic, and mineral. The script furthermore computes evaluation metrics of the lab-CT comparison, and computes volumetric contents of pore ice, total ice, organic, and mineral at the high resolution of the original CT data.</p> <p><em><strong>volumetric_contents_sampleRes_all.csv</strong></em><br> This file can be reproduced by the files listed above and contains, in addition to the data contained in <em>volumetric_contents_sampleRes_lab+CT.csv</em>, the volumetric contents of pore ice, total ice, mineral, and organic as predicted by the regression model at the same (coarse) resolution as the laboratory samples.</p> <p><em><strong>volumetric_contents_highRes_all.csv</strong></em><br> This file can be reproduced by the files listed above and contains, in addition to the data contained in <em>volumetric_contents_highRes_CT.csv</em>, the volumetric contents of pore ice, total ice, mineral, and organic as predicted by the regression model at the same (high) resolution as the original CT data.</p> <p>More details can be found in the article describing the study.</p>
Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors: V4.NA.02.MAPLE
<p>We estimate ground-level fine particulate matter (PM<sub>2.5</sub>) total and compositional mass concentrations over North America by combining Aerosol Optical Depth (AOD) retrievals from the NASA MODIS, MISR, and SeaWIFS instruments with the GEOS-Chem chemical transport model, and subsequently calibrated to regional ground-based observations of both total and compositional mass using Geographically Weighted Regression (GWR) as detailed in the provided reference for V4.NA.02. V4.NA.02.MAPLE further modified the V4.NA.02 GWR method with additional developments as part of the MAPLE (Mortality–Air Pollution Associations in Low-Exposure Environments) project. This adjustment was of particular value over low concentrations. The GWR method of individual components remains unchanged from V4.NA.02, but are provided are percentages to ensure mass closure and recommended to be applied to the V4.NA.02.MAPLE total PM<sub>2.5</sub>.</p> <p>Annual datasets are provided in NetCDF [.nc]. Gridded files use the WGS84 projection. Compositional estimates are provided for sulfate (SO4), nitrate (NO3), ammonium (NH4), organic matter (OM), black carbon (BC), mineral dust (DUST), and sea-salt (SS). Percentages are denoted with a ‘p’ after component identifiers within filenames. A slight change in file name has been included for 2017, corresponding to minor internal changes compared to earlier years. Overall, however, the dataset is consistent throughout its entire time period and can be appropriately used for trend analysis.</p> <p><strong>Reference:</strong><br> van Donkelaar, A., R. V. Martin, et al. (2019). <strong>Regional Estimates of Chemical Composition of Fine Particulate Matter using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors.</strong> Environmental Science & Technology, 2019, doi:10.1021/acs.est.8b06392.</p>
Marine plastics alter the organic matter composition of the air-sea boundary layer, with influences on CO2 exchange: a large-scale analysis method to explore future ocean scenarios
<p>Microplastics are substrates for microbial activity and can influence biomass production. This has potentially important implications in the sea-surface microlayer, the marine boundary layer that controls gas exchange with the atmosphere and where biologically produced organic compounds can accumulate. In the present study, we used six large scale mesocosms to simulate future ocean scenarios of high plastic concentration. Each mesocosm was filled with 3 m3 of seawater from the oligotrophic Sea of Crete, in the Eastern Mediterranean Sea. A known amount of standard polystyrene microbeads of 30 μm diameter was added to three replicate mesocosms, while maintaining the remaining three as plastic-free controls. Over the course of a 12-day experiment, we explored microbial organic matter dynamics in the sea-surface microlayer in the presence and absence of microplastic contamination of the underlying water. Our study shows that microplastics increased both biomass production and enrichment of carbohydrate-like and proteinaceous marine gel compounds in the sea-surface microlayer. Importantly, this resulted in a 3 % reduction in the concentration of dissolved CO2 in the underlying water. This reduction was associated to both direct and indirect impacts of microplastic pollution on the uptake of CO2 within the marine carbon cycle, by modifying the biogenic composition of the sea's boundary layer with the atmosphere.</p>
Data from: "Damage deflection and subsequent damage diffusion in carbon-boron fibre hybrid composites under longitudinal compression"
<p>The datset contains raw data used for the work presented in the journal paper "Damage deflection and subsequent damage diffusion in carbon-boron fibre hybrid composites under longitudinal compression".<br>Specifically, it contains machine recorded data and video recordings (either SEM or with optical microscope) of the compression tests on small scale single edge notched specimens made of IM7/8552 (carbon/epoxy) and HyBor 52 FPI (carbon-boron fibre hybrid composite). It also contains specimens pictures taken during and after the tests (including SEM and optical micrographs).</p> <p>For more details, please refer to the full paper.</p>
Chemical composition, soil water content and 16S rRNA and ITS gene copy numbers of soil aggregates and bulk soil samples
<p>This repository contains all data to reproduce the analyses presented in "Distinct microbial communities are linked to organic matter properties in millimetre-sized soil aggregates", Simon et al 2024, <em>The ISME Journal </em>(DOI: 10.1093/ismejo/wrae156).</p>
Composite X-EUV + optical model spectrum of the planet-hosting star HIP 67522 (HD 120411)
<p>Composite spectrum of HIP 67522 obtained by joining a Phoenix photospheric spectrum with the X-EUV spectrum synthesized from the reconstructed plasma Emission Measure Distribution (EMD) vs. temperature in chromosphere, transition region, and corona. The FITS file contains 3 extensions with the spectrum, the EMD, and the plasma chemical abundances, derived from the analysis of X-ray and FUV high-resolution spectra, obtained with simultaneous observations with XMM-Newton and HST.</p> <p>In the attached figure, the upper panel shows the specific flux at Earth, while the bottom panel is the photon flux at a distance of 1 AU. In green the Phoenix spectrum resampled to a wavelength resolution of 1 Angstrom, down to 1700 A; the XUV spectrum in the range 1-1700 A instead has a resolution of 0.01 A. The green and blue segments in the upper panel, at about 200 nm, mark the Phoenix model flux and the observed flux integrated over the OM UVM2 band.</p>
Graphic Illustration of Verity Mathis' Talk: Virome composition in fresh bat guano, frozen and fluid-preserved bat tissues
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Verity Mathis at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
3D and assay data published in "XRF and 3D modelling on a composite Etruscan helmet"
<p>The data presented here are published as part of the publication Emmitt, J.J., McAlister, A., Bawden, N., and J. Armstrong "XRF and 3D modelling on a composite Etruscan helmet" <em>Applied Sciences</em>. <em>11</em>(17): 8026. DOI: 10.3390/app11178026. The methodology for the creation of the photogrammetry model is presented Emmitt et al. (2021a), and further information about the methods used to collect the pXRF data can be found in Emmitt et al. (2021b). The interpolation analysis is done using PyVista by Sullivan and Kaszynski (2019)</p> <p>The model is are published as a .ply file, the assay data is in a csv file with the corresponding location on the model, and a Juypter notebook for running the analysis. The PyVista Python package will be required (Sullivan and Kaszynski 2019). Contained here are:</p> <ul> <li>Negau Helmet, Doug Gold Collection - 1x .ply</li> <li>Helmet assay points and data - 1x .csv</li> <li>Juypter Notebook - 1x .ipynb</li> </ul> <p>Data are published with permission of Museo Nazionale Etrusco di Villa Giulia e Villa Poniatowski di Roma (Director Valentino Nizzo).</p>
ScienceDex guides
Understand access before you commit
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.