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71 results for “Surface materials”
Supplementary material, Figure S7 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S7 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S7. Morphological abundance of particles in surface waters collected in the Santos Basin in the period 2020-2021 during winter and summer.<br>Caption: SB, Santos Basin. S, Summer. W, Winter.</p>
Supplementary material, Figure S5 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S5 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S5. Volume distribution of microparticles in surface water samples collected in the Santos Basin in the period 2020-2021 by sampling point.<br>Caption: SB, Santos Basin.</p>
Supplementary material, Figure S4 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S4 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S4. Number of microparticles by sampling stations in surface waters collected in the Santos Basin in the period 2020-2021.<br>Caption: SB, Santos Basin.</p> <p> </p>
Supplementary material, Figure S3 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Figure S3 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Figure S3. Wave direction and height recorded during microplastic collections in surface waters in the Santos Basin.<br>Caption: (A) Wave direction; (B) Wave Height. SB, Santos Basin.<br></span></p> <p> </p>
Supplementary material, Table S5 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Table S5 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Table S5. Comparison between studies on the presence of microplastics in coastal and oceanic waters.<br>Captions: Mps - microplastics; Mp/L - microplastics per liter; Mp/m2 - microplastics per square meter; Mp/m³ - microplastics per cubic meter; n.d. - Not determined; μm - microns; mm - millimeters.<br></span></p>
Supplementary material, Figure S2 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Figure S2 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Figure S2. Drift current conditions recorded during microplastics collections in surface waters in the Santos Basin.<br>Caption: (A) current drift direction and speed 2020; (B) current drift direction and speed 2021.<br></span></p>
Supplementary material, Table S4 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Table S4 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Table S4. Most common types of microplastics.<br>Source: adapted from Gago et al. (2019).</p>
Supplementary material, Figure S1 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S1 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S1. Wind conditions recorded during microplastics collections in surface waters in the Santos Basin.</p> <p>Caption: (A) 2020 wind direction and speed; (B) 2021 wind direction and speed.</p>
Supplementary material, Table S1 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Table S1 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Table S1. Sampled and unsampled seasons over the summer and winter of 2020-2021.<br>Caption: SB, Santos Basin.<br></span></p>
Supplementary material, Table S2 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Table S2 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Table S2. Size ranges of marine anthropogenic litter.<br>Source: adapted from Gago et al. (2019).<br></span></p>
Supplementary material, Table S3 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span>Supplementary material, Table S3 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p><span>Table S3. Most common colors of microplastics.<br>Source: adapted from Gago et al. (2019).<br></span></p> <p> </p>
Supplementary materials for Quantifying historical and future surface soil moisture drying using deep learning and remote sensing
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Raw data for Tunable bioinspired microstructures with functional hybrid materials for self-disinfecting printable surface
<p>Set of data obtained using UV-VIS, SEM, XRD and FT-IR characterization techniques, as well as material in STL format developed for 3D printing design projection to meet the specific demands of the study.</p>
Supplementary Materials for "Challenges in the detection and attribution of Northern Hemisphere surface temperature trends since 1850"
<p><strong>Supplementary Materials for</strong>:</p> <p>R. Connolly, W. Soon, M. Connolly, S. Baliunas, J. Berglund, C.J. Butler, R.G. Cionco, A.G. Elias, V. Fedorov, H. Harde, G.W. Henry, D.V. Hoyt, O. Humlum, D.R. Legates, N. Scafetta, J.-E. Solheim, L. Szarka, V.M. Velasco Herrera, H. Yan and W.J. Zhang (<strong>2023</strong>). "Challenges in the detection and attribution of Northern Hemisphere surface temperature trends since 1850". <em>Research in Astronomy and Astrophysics</em>. <a href="https://doi.org/10.1088/1674-4527/acf18e">https://doi.org/10.1088/1674-4527/acf18e</a></p> <p><strong>Description:</strong></p> <p>A dataset for the detection and attribution of Northern Hemisphere surface temperature trends since 1850.</p> <table> <caption>Contents of dataset</caption> <thead> <tr> <th scope="col">Tab</th> <th scope="col">Description</th> </tr> </thead> <tbody> <tr> <td>NH temperatures</td> <td>5 different Northern Hemisphere (NH) annual surface temperature (ST) estimates in temperature anomalies (°C) relative to 1901-2000 averages.</td> </tr> <tr> <td>TSI 1850-2018</td> <td>27 different Total Solar Irradiance (TSI) reconstructions. At 1 Astronomical Unit (W/m2) relative to 1901-2000 average.</td> </tr> <tr> <td>IPCC AR6 forcings</td> <td>IPCC AR6 radiative forcings (RF) time series (for the 1850-2018 period) in units of W/m2</td> </tr> <tr> <td>Fitting statistics</td> <td>Fitting statistics and results from all fits</td> </tr> <tr> <td>Key results</td> <td>Summary statistics and results</td> </tr> <tr> <td>Fits - Rural-only</td> <td>Multi-linear regression fitting results for Rural-only ST</td> </tr> <tr> <td>Fits - Urban & rural</td> <td>Multi-linear regression fitting results for Urban & rural ST</td> </tr> <tr> <td> <table> <tbody> <tr> <td>Fits - SST</td> </tr> </tbody> </table> </td> <td>Multi-linear regression fitting results for Sea surface temperature (SST)</td> </tr> <tr> <td> <table> <tbody> <tr> <td>Fits - Tree-rings</td> </tr> </tbody> </table> </td> <td>Multi-linear regression fitting results for tree-ring proxy based ST</td> </tr> <tr> <td> <table> <tbody> <tr> <td>Fits - Glaciers</td> </tr> </tbody> </table> </td> <td>Multi-linear regression fitting results for glacier-length proxy based ST</td> </tr> <tr> <td> <table> <tbody> <tr> <td>Model - Rural-only</td> </tr> </tbody> </table> </td> <td>Breakdown of model components for fits to Rural-only ST</td> </tr> <tr> <td> <table> <tbody> <tr> <td>Model - Urban & rural</td> </tr> </tbody> </table> </td> <td>Breakdown of model components for fits to urban & rural ST</td> </tr> <tr> <td> <table> <tbody> <tr> <td>Model - SST</td> </tr> </tbody> </table> </td> <td>Breakdown of model components for fits to SST</td> </tr> <tr> <td> <table> <tbody> <tr> <td>Model - Tree-rings</td> </tr> </tbody> </table> </td> <td>Breakdown of model components for fits to tree-ring proxy-based ST</td> </tr> <tr> <td> <table> <tbody> <tr> <td>Model - Glaciers</td> </tr> </tbody> </table> </td> <td>Breakdown of model components for fits to glacier-length proxy-based ST</td> </tr> </tbody> </table> <p> </p>
Surface Roughness of a Dental Restorative Material and Biofilm Formation
ClinicalTrials.gov study NCT00256945. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Dependence of Skull Surface Wave Propagation on Coupling Methods under Bone Conduction: Support material
<p><strong>Objectives:</strong> This study is aimed at the quantitative investigation of skull bone surface wave propagation dependence on different coupling methods of the bone conduction hearing aid (BCHA). <strong>Design:</strong> Experiments were conducted on five Thiel embalmed whole head cadaver specimens. The electromagnetic actuators from a commercial BCHA (Baha® Cordelle and Power) were used to provide stepped sine stimulus in the range of 0.1-10 kHz. Osseous pathways were sequentially activated by a BCHA mounted on a 5-Newton steel headband on Mastoid, on a percutaneously implanted screw (Baha® Connect), and transcutaneously with a Baha® Attract at bone anchored hearing aid (BAHA) location. Surface motion was quantified by sequentially measuring ~200 points on the skull surface via a three-dimensional laser Doppler vibrometer (3D LDV) system. <strong>Results:</strong> The stimulation area undergoes deformations at a lower frequency range than the whole head does (less than 500Hz versus more than 1 kHz). Stiffer coupling (Connect versus Headband) appears to lead to earlier onset and faster transition, with frequency, to local deformations and wave motion. <strong>Conclusion:</strong> For stimulation with the headband at the mastoid, the sound wave travelling across the head does not exactly origin from the site of stimulation. Potentially, because the skull vibration is influenced by the dynamic mechanical properties of skull plates.</p>
Supplementary material to "Signalling molecules and extracellular DNA elicit chemotactic and regulatory responses in surface-associated Roseobacteraceae
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Supplementary material 1 from: Castaño Sánchez A, Pereira J, Gonçalves F, Reboleira A (2018) Comparative acute toxicity of the pharmaceutical compound Diclofenac on groundwater and surface water crustaceans. ARPHA Conference Abstracts 1: e29822. https://doi.org/10.3897/aca.1.e29822
Poster presented at the 24th International Conference on Subterranean Biology. University of Aveiro (Portugal), 20-24th August 2018.
Supplementary material 3 from: Niemi M, Pöyry J, Heiskanen I, Uotinen V, Nieminen M, Erkomaa K, Wallenius K (2014) Variability of soil enzyme activities and vegetation succession following boreal forest surface soil transfer to an artificial hill. Nature Conservation 8: 1-25. https://doi.org/10.3897/natureconservation.8.6369
Figure S2: Explanation note: The studied sites in August 2003: a) Top b) Grove c) Middle d) North.
Supplementary material 4 from: Niemi M, Pöyry J, Heiskanen I, Uotinen V, Nieminen M, Erkomaa K, Wallenius K (2014) Variability of soil enzyme activities and vegetation succession following boreal forest surface soil transfer to an artificial hill. Nature Conservation 8: 1-25. https://doi.org/10.3897/natureconservation.8.6369
Figure S3: Explanation note: The studied s ites in August 2005: a) Top b) Grove c) Middle d) North.
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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.