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Dataset results
89 results for “Surface Roughness”
Can Surface Roughness Predict Progression of Tooth Wear?
ClinicalTrials.gov study NCT03178968. IPD Sharing: NO. Countries: 0. Publications: 1.
Bar and Ball Joint Overdentures Surface Roughness and Microbial Adherence
ClinicalTrials.gov study NCT03256409. IPD Sharing: NO. Countries: 0. Publications: 29.
Data from: Adhesion force mapping on wood by atomic force microscopy: influence of surface roughness and tip geometry
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SMEX03 Surface Roughness Data, Oklahoma, Version 1
The data set SMEX03 Surface Roughness Data is comprised of data collected over the regional study areas of Alabama, Georgia, and Oklahoma, USA as part of the 2003 Soil Moisture Experiment (SMEX03).
SMEX03 Surface Roughness Data, Georgia, Version 1
The data set SMEX03 Surface Roughness Data is comprised of data collected over the regional study areas of Alabama, Georgia, and Oklahoma, USA as part of the 2003 Soil Moisture Experiment (SMEX03).
SMEX03 Surface Roughness Data, Alabama, Version 1
The data set SMEX03 Surface Roughness Data is comprised of data collected over the regional study areas of Alabama, Georgia, and Oklahoma, USA as part of the 2003 Soil Moisture Experiment (SMEX03).
SMEX02 Land Surface Information: Geolocation, Surface Roughness, and Photographs, Version 1
This data set combines various ancillary data (geolocation, surface roughness, and photographs) collected for the Iowa Soil Moisture Experiment 2002 (SMEX02) study region.
Data from: Insect adhesion on rough surfaces: analysis of adhesive contact of smooth and hairy pads on transparent micro-structured substrates
Insect climbing footpads are able to adhere to rough surfaces, but the details of this capability are still unclear. To overcome experimental limitations of randomly rough, opaque surfaces, we fabricated transparent test substrates containing square arrays of 1.4 µm diameter pillars, with variable height (0.5 and 1.4 µm) and spacing (from 3 to 22 µm). Smooth pads of cockroaches (Nauphoeta cinerea) made partial contact (limited to the tops of the structures) for the two densest arrays of tall pillars, but full contact (touching the substrate in between pillars) for larger spacings. The transition from partial to full contact was accompanied by a sharp increase in shear forces. Tests on hairy pads of dock beetles (Gastrophysa viridula) showed that setae adhered between pillars for larger spacings, but pads were equally unable to make full contact on the densest arrays. The beetles' shear forces similarly decreased for denser arrays, but also for short pillars and with a more gradual transition. These observations can be explained by simple contact models derived for soft uniform materials (smooth pads) or thin flat plates (hairy-pad spatulae). Our results show that microstructured substrates are powerful tools to reveal adaptations of natural adhesives for rough surfaces.
The dataset for paper Roughness prediction of end milling surface for behavior mapping of digital twined machine tools
<p>The original real measured surface roughness is in the "Ra.xlsx". The origigital sensor data is named as "ACF-x-x". In each excel document, three directions of vibration, current and force sensor data is included. <br> Naming rules is as follows: In“ACF-1-2", "1-2"represents the second slot in first layler. <br> The corresponding cutting parameters for each slot are illustraed in "Ra.xlsx" document. </p>
Evaluation of Clinical Wear and Surface Roughness of Partial Restorations Produced by Additive and Subtractive Manufacturing Methods: A Split-Mouth Randomized Controlled Clinical Trial
ClinicalTrials.gov study NCT07057401. IPD Sharing: NO. Countries: 1. Publications: 0.
Survival and Success Rates of 6mm Implants With a Micro-rough Surface After 4.5 - 18.2 Years in Function
ClinicalTrials.gov study NCT04017026. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect of Autoclave Cycles on the Mechanical Properties and Surface Roughness of NITI Archwires
ClinicalTrials.gov study NCT05860738. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Assessment of the Effect of a Novel Surface Roughness Treatment on Dental Implants on Integration Success
ClinicalTrials.gov study NCT01529801. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Insect adhesion on rough surfaces: analysis of adhesive contact of smooth and hairy pads on transparent micro-structured substrates
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AMSRIce03 Surface Roughness Data, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set contains surface roughness measurements collected over sea ice in the Barrow, Alaska USA area as part the joint in situ and aircraft AMSRIce03 campaign.
SMEX04 Surface Roughness Data, Sonora, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.The data set SMEX04 Surface Roughness Data is comprised of data collected over the regional study areas of Arizona, USA and Sonora, Mexico as part of the 2004 Soil Moisture Experiment (SMEX04).
SMEX04 Surface Roughness Data, Arizona, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.The data set SMEX04 Surface Roughness Data is comprised of data collected over the regional study areas of Arizona, USA and Sonora, Mexico as part of the 2004 Soil Moisture Experiment (SMEX04).
SMEX05 Surface Roughness Data: Iowa, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set includes surface roughness parameters measured in the Walnut Creek watershed area of Iowa, USA for the Soil Moisture Experiment 2005 (SMEX05). Soil surface roughness photos were taken and roughness coefficients were calculated as part of the experiment site characterization protocol.
The effect of particle size and surface roughness of spray-dried bosentan microparticles on aerodynamic performance for dry powder inhalation
<p>Actual movement and streamline of bosentan formulations.</p>
A Nonlinear Flow Model and Criterion for 3D Natural Fracture Intersections: Effects of Surface Roughness and Mechanical Aperture
<p>The present repository includes the raw data of flow rate ~ presure presented in the manuscript submitted for publication in Water Resources Research entitled <em>A Nonlinear Flow Model and Criterion for 3D Natural Fracture Intersections: Effects of Surface Roughness and Mechanical Aperture.</em></p> <p>The repository is presented as TXT files,and all other results including the linear and nonlinear coefficients in Forchheimer equation and permeability of fracture intersections can be calculated employing this basic data.</p> <p> </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)
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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.