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6,175 results for “Composite”
Fig. 1 in Comparison of bee composition in sunn hemp and other cover crops
Fig. 1. Mean number of total bees collected in bee bowls within cover crop plots for 6 dates in 2012, Quincy, Florida, USA. SSG = sorghum sudangrass.
Dataset of "Affordable metod for synthesis of composite nanoobjects from recycled materials by hot plasma arc from basic plasma cutter "
<p>Metal remnants from battery waste can be utilized in some advanced composite materials together with other materials like cerium dioxide nanoparticles which repeatedly show interesting application potential in the field of decomposition of environmental pollutants. It is important to avoid uncontrolled leakage of the nanoparticles into the environment. Therefore immobilization in composite is important. In this contribution, ceria nanoparticles were aggregated and immobilized with the addition of nanoparticles, metal sheets, and the usage of a plasma beam. The obtained material was characterized in detail using optical microscopy, XRD, SEM, and EDS. The composite was also compared to the non-treated ceria nanoparticles. The absorption of pollutant samples was performed in aqueous solutions of Eriochrome Black T. The results show promising potential considering the morphology change and aggregate formation, together with fast reaction times. </p>
Data for Stable isotope composition of long and short term carbon pools can screen drought tolerance in cassava
<p>This repository contains data and scripts to reproduce results that are presented in the article: Van Laere, J., Martinez Maya, M.A., Selvaraj M.G., Becerra Lopez-Lavalle, L.A., Guzman, D., Casas, J.A., Merckx, R., Hood-Nowotny, R., Dercon, G. (2024)<strong> Stable isotope composition of long and short term carbon pools can screen drought tolerance in cassava</strong>. <em>Field Crops Research. </em>https://doi.org/10.1016/j.fcr.2024.109586</p>
Tropical Peatland Drainage Canal Methane Concentrations, Fluxes, and Isotopic Composition
<p>This dataset contains methane (CH<sub>4</sub>) concentration and <sup>13</sup>C isotope composition (δ<sup>13</sup>C-CH<sub>4</sub>) and environmental variables (canal dimensions, water quality, etc.) from canals draining peatlands in West Kalimantan, Indonesia. The data also contains CH<sub>4</sub> emissions measured using floating chambers and potential CH<sub>4</sub> oxidation rates and associated isotopic fractionation from a subset of studied canals, as well as porewater data from peat soils in the study region. Each data file contains a "README" tab with a guide for variable units and descriptions. </p> <p>File contents: </p> <ul> <li><strong>Canal_CH4_Survey_Perryman.xlsx </strong>= canal water CH<sub>4</sub> concentration and δ<sup>13</sup>C-CH<sub>4</sub> from a synpotic survey of canals in Kubu Raya Regency and Mempawah Regency, West Kalimantan, Indonesia. Data also includes canal properties, water chemistry, and estimates of the fraction of CH4 oxidized and diffusive emissions for each canal</li> <li><strong>Canal_Water_Incubations_Perryman.xlsx</strong> = measurements of dissolved CH<sub>4</sub> concentration and δ<sup>13</sup>C-CH<sub>4</sub> from canal water incubations</li> <li><strong>Floating_Chamber_Flux_Perryman.xlsx</strong> = CH<sub>4</sub> emissions and source δ<sup>13</sup>C-CH<sub>4 </sub>determined from floating chamber deployments on canals</li> <li><strong>Porewater_CH4_Perryman.xlsx </strong>= peatland porewater CH<sub>4</sub> concentration and δ<sup>13</sup>C-CH<sub>4</sub> from 6 profiles collected in the study area</li> </ul>
Data from: Autumn and winter plankton composition and size structure in the North Sea
<p><span>Plankton dynamics in temperate ecosystems have been mainly studied during productive seasons, with comparatively less research conducted during the winter, particularly on microplankton. Implementing plankton sampling during a regular fishery cruise, we investigated the North Sea micro- and mesozooplankton community composition, abundance and size structure (55-2000 µm) during autumn (Buchan/Banks area) and winter (Downs area) between 2013 and 2019. Samples were analyzed using image-based techniques. Community diversity (broad taxa) was relatively similar across years in both areas, with diatoms and tripos taxa sets dominating the microplankton community and gastropods and copepods the mesozooplankton one. The average micro- to mesoozooplankton ratio (in abundance) was 90:1 for Buchan/Banks, resulting in average Normalized Abundance Size Spectra (NASS) slopes of -1.45 ±0.18 SD. For Downs, the micro- to mesoozooplankton ratio was 235:1 and steeper NASS slopes of -1.67 ±0.20 SD due to a lower contribution of large organisms. Interannual changes in the planktonic community for each area and their potential environmental drivers were examined using a redundancy analysis (including taxonomy and size) and a correlation analysis using NASS slopes (size only). Both approaches highlighted the importance of water mass properties (e.g. salinity, temperature, turbidity) in shaping plankton dynamics, although the amount of explained variance differed between approaches (11 versus 46%). <span><span>Our results contribute to a better understanding of standing stocks of plankton and their environmental drivers. Specifically, novel insights were gained into microplankton dynamics, which play an important role in supporting the growth and survival of winter-spawned fish larvae in the North Sea. </span></span></span></p>
Chemical composition and mixing state of elemental carbarn-containing particles from solid fuel combustion
<p>The above data set contains the mass spectrum information of EC-containing particles obtained from the single particle aerosol mass spectrometer (SPAMS) and some related processing methods. Specifically, it includes: (1)Average positive and negative mass spectra of 5 solid fuels, (2)Average mass spectra for each particle cluster from 5 solid fuels, (3)Cluster composition of EC-containing particles, (4)cluster composition of EC-containing particles, (5)Particle size distribution of EC-containing and (6)Mixing state characteristics of EC-containing particles.</p>
Raw data used in the manuscript titled "Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using 1H HR MAS NMR Spectroscopy "
<p>The folder contains raw data used in the manuscript titled "Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using <sup>1</sup>H HR MAS NMR Spectroscopy ".</p> <p> </p> <p> Raw data measured on Bruker Avance III 400 MHz NMR spectrometer:</p> <p>- 1D <sup>1</sup>H HR MAS NMR spectra (path: <em>Patient_code – Sample_code/500/fid</em>)</p> <p>- 2D <sup>1</sup>H-<sup>1</sup>H J-resolved HR MAS NMR spectra (path: <em>Patient_code – Sample_code/600/ser</em>).</p> <p> </p> <p>Metadata is included in <em>Metadata.xlsx</em> file.</p> <p>Each sample is described with the following parameters:</p> <p>- patient code (after anonymization),</p> <p>- sample code (the label <em>l</em> or <em>r</em> denotes the <em>left</em> or <em>right</em> ovary in patients from whom samples were obtained bilaterally),</p> <p>- sample weight,</p> <p>- clinic-pathological parameters (such as: age, BMI, menopausal status, diagnosis, FIGO stage),</p> <p>- percentage tissue content obtained from histopathological analysis after HR MAS NMR studies (cancer cells, epithelial compartment within benign tumors, necrosis, inflammation, fibrosis, calcification, normal ovary, vessels, fatty tissue).</p> <p> </p> <p>Some samples were considered representative of particular tissue components:</p> <p>- cancer (HGSOC) compartment,</p> <p>- fibrotic stroma within malignant (HGSOC) tumors,</p> <p>- fibrotic stroma within benign tumors,</p> <p>- normal ovary tissue (the samples collected from the control group),</p> <p>- normal ovary tissue (the samples collected from the cancer patients),</p> <p>- necrosis,</p> <p>- non-tumoral fibrous tissue / fibrous tumor capsule (obtained from the patients with benign non-neoplastic lesions)</p> <p>- corpus albicans</p> <p>The assignment of the samples to these categories is indicated in the column <em>Tissue components.</em></p> <p><em> </em></p> <p>The samples classified as outliers in PCA model 1 are indicated in the column <em>Outliers</em>.</p> <p>The samples included in multivariate models are indicted in the columns: <em>PCA 2, PCA 3, PCA 4, PCA 5, PCA 5a, PCA 6, OPLS-DA 1, OPLS-DA 2, OPLS-DA 3, OPLS-DA 4, OPLS-DA 5, OPLS-DA 6 and OPLSR.</em></p> <p><em> </em></p>
EB_Composite: Knowledge Graph of the First Eight Editions of the Encyclopaedia Britannica (1768-1860) Following the Heritage Textual Ontology
<p>The EB_Composite Knowledge Graph represents information from the first eight editions of the <em>Encyclopaedia Britannica</em> (1768–1860), structured using the <a href="https://w3id.org/hto"><em>Heritage Textual Ontology</em></a> (HTO). It extends our previously developed <a href="https://zenodo.org/records/13919115">EB_HQ</a> by incorporating multiple text sources, such as the <a href="https://data.nls.uk/data/digitised-collections/encyclopaedia-britannica/">National Library of Scotland</a> and the <a href="https://tu-plogan.github.io/source/r_7th_edition.html">Nineteenth-Century Knowledge Project</a>, for each edition. A particular source is added, comprising of post-corrected textual content generated using deep-learning-based OCR error correction methods. These sources presents different levels of text quality, and EB_Composite enables researchers to compare these texts, and track how they are digitised or extracted from these sources.</p> <p>The EB_Composite captures 4150776 RDF triples. Same as EB_HQ, it provides structured metadata and descriptions for each edition, volume, and term. By integrating information across different editions, it enables smooth tracking of concept evolution over time. Additionally, the dataset features semantic connections to external knowledge bases such as DBpedia and Wikidata, enhancing links to modern information and supporting more comprehensive analyses.</p> <p>Designed to support historical research, this dataset offers rich semantic data for exploring the development of knowledge and concepts in the <em>Encyclopaedia Britannica</em>. It categorizes terms as either <em>Articles</em> or <em>Topics</em>, each with detailed metadata extracted from METS and ALTO XML files. OCR errors common in historical texts have been mitigated using deep-learning-based corrections.</p>
STXM-NEXAFS Analysis of Mineral-Organic Carbon Associations and OC Composition in North Atlantic Sediments
<p>Scanning transmission X-ray microscopy coupled with near edge X-ray absorption spectroscopy (STXM-NEXAFS) data collected on beamline 11.0.2 at the Advanced Light Source (ALS, Lawrence Berkeley National Laboratory) on sediment samples from the North Atlantic gyre collected during piston coring cruise KN223 on the R/V Knorr in 2014. Data include (a) sample geochemistry and lithology (metadata, "STXMNEXAFS_Sample_Geochem.xlsx"), (b) transmission microscopy images with overlaid element masks (organic and inorganic carbon, Al, Fe, Mn, K, and Ca, "mask images.zip") and marked regions ("region images.zip") that carbon NEXAFS spectra were extracted from, (c) NEXAFS spectra extracted from element masks and marked regions ("STXMNEXAFS_mask_reg_spectra_data.xlsx"), and (d) pixel intensity maps of mineral-forming elements used to make element correlation plots ("pixel correlation maps.zip"). The use of the Advanced Light Source is supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences under contract<br>no. DE-AC02-05CH11231. </p>
Heterogeneous mineralogical composition and fault behaviour: A systematic study in ternary fault rock compositions.
<p>In this dataset the high resolution images of the microstructural analysis and the frictional strength, frictional healing and the rate and state parameters are reported. The data refer to a comprehensive study with 34 frictional experiments on fault gouges composed of three representative mineral phase:muscovite (platy phyllosilicate), quartz (granular silicate) and calcite (granular carbonate), known for their markedly distinct frictional properties. </p>
Linked collectors and determiners for: The aquatic Coleoptera of Prince Edward Island, Canada: new records and faunal composition.
Natural history specimen data linked to collectors and determiners held within, "The aquatic Coleoptera of Prince Edward Island, Canada: new records and faunal composition". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5a9a5eda-7a2b-43aa-8e8d-40ef25926ec6">https://bionomia.net/dataset/5a9a5eda-7a2b-43aa-8e8d-40ef25926ec6</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5a9a5eda-7a2b-43aa-8e8d-40ef25926ec6">https://gbif.org/dataset/5a9a5eda-7a2b-43aa-8e8d-40ef25926ec6</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: On the composition of the benthic fauna of the western Fram Strait.
Natural history specimen data linked to collectors and determiners held within, "On the composition of the benthic fauna of the western Fram Strait". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8e6636ad-0b6a-426a-9515-985288f558ba">https://bionomia.net/dataset/8e6636ad-0b6a-426a-9515-985288f558ba</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8e6636ad-0b6a-426a-9515-985288f558ba">https://gbif.org/dataset/8e6636ad-0b6a-426a-9515-985288f558ba</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Phytoplankton community composition in the water column of the West Greenland shelf, July 2021.
Natural history specimen data linked to collectors and determiners held within, "Phytoplankton community composition in the water column of the West Greenland shelf, July 2021". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6e5fa973-a7cc-4867-8606-8bcaa395f7de">https://bionomia.net/dataset/6e5fa973-a7cc-4867-8606-8bcaa395f7de</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6e5fa973-a7cc-4867-8606-8bcaa395f7de">https://gbif.org/dataset/6e5fa973-a7cc-4867-8606-8bcaa395f7de</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Protist community composition in the water column on the East Greenland shelf, May 2022.
Natural history specimen data linked to collectors and determiners held within, "Protist community composition in the water column on the East Greenland shelf, May 2022". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/270fc4bf-3225-4af4-a5c0-dca8652ac37c">https://bionomia.net/dataset/270fc4bf-3225-4af4-a5c0-dca8652ac37c</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/270fc4bf-3225-4af4-a5c0-dca8652ac37c">https://gbif.org/dataset/270fc4bf-3225-4af4-a5c0-dca8652ac37c</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Zooplankton community composition in Svartnes, Balsfjord, Norway in June 2017 and June 2018 (sampled with a WP-2).
Natural history specimen data linked to collectors and determiners held within, "Zooplankton community composition in Svartnes, Balsfjord, Norway in June 2017 and June 2018 (sampled with a WP-2)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6ce52028-93fe-43c4-a2cb-62d9adb7d5ba">https://bionomia.net/dataset/6ce52028-93fe-43c4-a2cb-62d9adb7d5ba</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6ce52028-93fe-43c4-a2cb-62d9adb7d5ba">https://gbif.org/dataset/6ce52028-93fe-43c4-a2cb-62d9adb7d5ba</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Phytoplankton community composition at station Svartnes, Balsfjord, Norway in June 2017 and June 2018 (sampled with a GoFlow bottle).
Natural history specimen data linked to collectors and determiners held within, "Phytoplankton community composition at station Svartnes, Balsfjord, Norway in June 2017 and June 2018 (sampled with a GoFlow bottle)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5e2eccfd-47a8-4029-946a-c1bec35d86b7">https://bionomia.net/dataset/5e2eccfd-47a8-4029-946a-c1bec35d86b7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5e2eccfd-47a8-4029-946a-c1bec35d86b7">https://gbif.org/dataset/5e2eccfd-47a8-4029-946a-c1bec35d86b7</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Diversity and composition of preserved angiosperm specimens at Tanzania Forestry Research Institute (TAFORI) Herbarium.
Natural history specimen data linked to collectors and determiners held within, "Diversity and composition of preserved angiosperm specimens at Tanzania Forestry Research Institute (TAFORI) Herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e5dfbff2-8ce1-4393-8c51-cc9c678ec8be">https://bionomia.net/dataset/e5dfbff2-8ce1-4393-8c51-cc9c678ec8be</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e5dfbff2-8ce1-4393-8c51-cc9c678ec8be">https://gbif.org/dataset/e5dfbff2-8ce1-4393-8c51-cc9c678ec8be</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: MACROBENTHOS COMPOSITION FROM THE RIO LAGARTOS HYPERHALINE COASTAL LAGOON SYSTEM, YUCATAN, MEXICO.
Natural history specimen data linked to collectors and determiners held within, "MACROBENTHOS COMPOSITION FROM THE RIO LAGARTOS HYPERHALINE COASTAL LAGOON SYSTEM, YUCATAN, MEXICO". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4bdc7171-c006-41b8-b3bf-e6f5227206b3">https://bionomia.net/dataset/4bdc7171-c006-41b8-b3bf-e6f5227206b3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4bdc7171-c006-41b8-b3bf-e6f5227206b3">https://gbif.org/dataset/4bdc7171-c006-41b8-b3bf-e6f5227206b3</a>. Formatted as a Frictionless Data package.
Dataset for article "Interplay between disorder and electronic correlations in compositionally complex alloys"
<p>Dataset for article "Interplay between disorder and electronic correlations in compositionally complex alloys", https://doi.org/10.1038/s41467-024-52349-8. Source data for figures is described by name and axes and unites are described inside each data file.</p>
Electrochemical activity of several compositions in the system Ag-Pd-Pt-Ru for the oxygen reduction reaction in 0.05 M KOH solution pH 12.5
<p>The dataset comprises electrochemical screening data of several compositions from three different thin film materials libraries in the system Ag-Pd-Pt-Ru. Given are three csv files that contain the measurement coordinates, the chemical composition in atomic percent and the electrochemical current that was evaluated from linear sweep voltammograms at a potential of 0.85V vs. RHE. </p> <p><strong>Experimental description</strong></p> <p>Materials libraries were fabricated by co-sputtering thin films on 100 mm diameter sapphire wafers (c-plane) from 4 elemental tar-gets. The targets were confocally aligned to a 100 mm substrate (target-substrate distance approx. 12 cm). Target materials had a purity of 99.99,%. Ar (99.9999 %) was used as a sputter gas. The deposition pressure was 0.667 Pa. The film thickness was 100 - 150 nm. The chemical composition of the materials libraries was measured by energy dispersive X-ray spectroscopy (EDX) with an acceleration voltage of 20 kV. 81 measurements were done on a regular grid of 9x9 (8.5 mm spacing) on each library. Linear regression was used to interpolate the composition over the 342 measurement areas of a 4.5 mm grid that was used in the scanning droplet cell experiments. Electrochemical measurements were conducted with the use of a high-throughput scanning droplet cell (SDC). The SDC head incorporates counter (Pt wire) and reference (Ag|AgCl|3 M KCl) electrodes and a teflon tip with 1 mm diameter. The materials library is connected as working electrode, e.g. the surface of the investigated sample in every spot where the tip touches the sample. The electrolyte was replaced for every measurement area. Linear sweep voltammograms were measured in 0.05 M KOH, pH 12.5, with a scan rate of 10 mV/s. All potentials are reported versus the RHE according to the following equation: URHE (V) = U(Ag|AgCl|3 M KCl) + 0.210 + (0.059 * pH), where U(Ag|AgCl|3 M KCl) is the potential measured versus Ag|AgCl|3 M KCl reference electrode, 0.210 V is the standard potential of the Ag|AgCl|3 M KCl reference electrode at 25◦C. Note that 0.059 is the result of (RT )· (nF)−1, where R is the gas constant, T is the temperature (298 K), F is the Faraday constant, and n is the number of electrons transferred during the reaction.</p> <p> </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.