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422
datasets available to search
ShareScore release 0.9.0
Dataset results
422 results for “Texturing”
Effects of Textured Insoles on Balance, Physical Performance, and Plantar Pressure in Older Adults With Knee Osteoarthritis
ClinicalTrials.gov study NCT07097649. IPD Sharing: NO. Countries: 0. Publications: 0.
Textural Analysis of Mandibular Trabecular Bone Based on Grey Level Co-occurrence Matrix Features in Correlation With Age and Gender of an Egyptian Population Sample: A Cross-sectional Study Using Con
ClinicalTrials.gov study NCT05128565. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Surface Texture and Clinical Performance of Milled BioHPP Polyetheretherketone (PEEK) Single Posterior Crowns Veneered With Two Different Techniques
ClinicalTrials.gov study NCT04922372. IPD Sharing: YES. Countries: 0. Publications: 0.
Texture and Colour Enhancement Imaging (TXI) Versus Dye Chromoendoscopy for Dysplasia Detection in IBD Surveillance.
ClinicalTrials.gov study NCT07208214. IPD Sharing: NO. Countries: 0. Publications: 0.
SMAPVEX08 Soil Texture Data V001
This data set contains soil texture data that were extracted from a multi-layer soil characteristics database for the conterminous United States and generated for each regional study area. Data are representative of the conditions present in the regional study areas during the general timeline of the Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08) campaign.
SMAPVEX16 Manitoba Soil Texture Data V001
This data set contains soil texture data collected for the Soil Moisture Active Passive Validation Experiment 2016 Manitoba (SMAPVEX16 Manitoba) campaign.
SMAPVEX16 Manitoba Soil Texture Data V001
This data set contains soil texture data collected for the Soil Moisture Active Passive Validation Experiment 2016 Manitoba (SMAPVEX16 Manitoba) campaign.
CLASIC07 Soil Texture Data V001
This data set contains soil texture data obtained for the Cloud and Land Surface Interaction Campaign 2007 (CLASIC07). The original data were extracted from a multi-layer soil characteristics database for the conterminous United States called CONUS-Soil and generated for the regional study area. Data are representative of the conditions present in the regional study area during the general timeline of the CLASIC07 campaign.
CLASIC07 Soil Texture Data V001
This data set contains soil texture data obtained for the Cloud and Land Surface Interaction Campaign 2007 (CLASIC07). The original data were extracted from a multi-layer soil characteristics database for the conterminous United States called CONUS-Soil and generated for the regional study area. Data are representative of the conditions present in the regional study area during the general timeline of the CLASIC07 campaign.
SMAPVEX12 Core-Based Soil Texture Data V001
This data set contains in situ soil texture data collected with coring devices at several sites as part of the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12).
SMAPVEX12 Core-Based Soil Texture Data V001
This data set contains in situ soil texture data collected with coring devices at several sites as part of the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12).
SMAPVEX08 Soil Texture Data V001
This data set contains soil texture data that were extracted from a multi-layer soil characteristics database for the conterminous United States and generated for each regional study area. Data are representative of the conditions present in the regional study areas during the general timeline of the Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08) campaign.
SMAPVEX12 Soil Texture Map V001
This data set consists of soil texture classification data derived from field surveys as part of the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). The soil texture classification map provides information about vegetation present in the study area.
SMAPVEX12 Soil Texture Map V001
This data set consists of soil texture classification data derived from field surveys as part of the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). The soil texture classification map provides information about vegetation present in the study area.
Integrating a genome-wide association study with a large-scale transcriptome analysis to predict genetic regions influencing the glycemic index and texture in rice
GEO Series GSE123616. Oryza sativa Indica Group. 21 samples. Type: Expression profiling by array.
Mathematical approach to the validation of surface texture filtration software
<pre>A novel method for the validation of surface texture filtration software is introduced. Mathematically traceable reference pairs for linear Gaussian filtration are developed, utilising Fourier series surface definitions in conjunction with the frequency dependent transmission characteristic of the linear Gaussian filter. The novel method is demonstrated using a library of reference pairs to validate the performance of five surface texture analysis software packages. Investigations into the effects of different surface properties are made in relation to the deviation of the software-obtained results from the traceable reference values. Analysis of variance tests are used to verify the statistical significance of the results.</pre>
Mathematical approach to the validation of surface texture form removal software
<pre>A new approach to the validation of surface texture form removal methods is introduced. A linear algebra technique is presented that obtains total least squares (TLS) model fits for a continuous mathematical surface definition. This model is applicable to both profile and areal form removal, and can be used for a range of form removal models including polynomial and spherical fits. The continuous TLS method enables the creation of mathematically traceable reference pairs suitable for the assessment of form removal algorithms in surface texture analysis software. Multiple example reference pairs are presented and used to assess the performance of four tested surface texture analysis software packages. The results of each software are compared against the mathematical reference, highlighting their strengths and weaknesses.</pre>
Recopliación de datos cuantitativos extraídos del análisis textural de la colección de referencia experimental sobre tratamiento de superficie en cerámica a mano mediante microscopía óptica confocal / Compilation of quantitative data extracted from the textural analysis of the experimental reference collection on surface treatment of handmade pottery by confocal optical microscopy.
<p>This repository contains the quantitative data and stadistical test extracted from the textural analysis of the experimental reference collection on surface treatment of handmade pottery by confocal optical microscopy.</p>
Sword 30 Minute Model and Texture challenge
Source: Objaverse 1.0 / Sketchfab
Transcriptome profiling of cultivar-specific apple fruit ripening and texture attributes
GEO Series GSE24523. Malus domestica. 24 samples. Type: Expression profiling by array.
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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.