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56 results for “porosity”
Estimation of auto-covariance of log hydraulic conductivity from Generalized Sub-Gaussian porosity and particle size random fields: Dataset
<p>Dataset of d10 analyzed in section 4.</p>
The simulation results of relationship between cementation exponent m and total porosity of different diagenetic facies with different content of parameters
<p>The study of conduction mechanism is the key to establishing the subsequent physical derivations, resistivity simulation and saturation models. The purpose of this research is to clarify the conduction mechanisms under different diagenetic facies and build suitable saturation evaluation models. Experimental data of tight gas sandstone from the Ordos Basin were analysed, including data from scanning electron microscopy, conventional core physical property analysis, core casting thin section analysis, core mercury intrusion experiments, and rock electrical conductivity experiments. Accordingly, the diagenetic minerals of the study block were examined, the diagenetic facies were classified by differences in diagenetic properties across the study area. The reservoir was divided into 3 types of diagenetic facies: construction facies, cementation facies, and destruction facies. On this basis, the conductivity characteristics and saturation models of different diagenetic facies within the study area were systematically discussed for the first time. A number of experiments have shown that according to the type of diagenesis, the structure of the pores, and the influence of the reservoir, a classification scheme for diagenetic facies (consisting of construction, cementation, and destruction facies) can be established. According to the influence of the diagenesis of various diagenetic facies, theoretical pore structure models of the three diagenetic facies were established, in which the construction facies includes mainly dissolved feldspar pores and intergranular pores, the destruction facies includes clay residual intergranular pores and intergranular pores, and the cementation facies includes primarily residual intergranular pores. Based on these theoretical pore structure models, the construction facies was evaluated with a pore-connected vuggy conductivity model, the destruction facies was evaluated with a nonconnected matrix pore conductivity model, and the cementation facies was evaluated with a residual intergranular pore conductivity model. Then, the rationality of each model and the effects of the parameters in each model on the final cementation exponent were analysed by simulation. The predicted cementation exponents of the diagenetic facies match the measured cementation exponents well and can guide the qualitative understanding of these characteristics in such reservoirs.</p>
Experimental dataset for the manuscript entitled "Crystalline organic monoliths with bicontinuous porosity"
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Estimation of porosity and information of ground temperature monitoring wells
<p>Estimation of porosity and information of ground temperature monitoring wells</p>
The effect of imbrication on the porosity value of uniform gravel bed
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Fast Modelling of Vegetated Flow and Sediment Transport over Mobile Beds Using Shallow Water Equations with Anisotropic Porosity
<p>The data are the numerical solutions and errors in different cases by the present model.</p> <p> </p>
The simulation results of relationship between cementation exponent m and total porosity of different diagenetic facies with different content of parameters
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Data from: Enhancement of thermoelectric properties of La-doped SrTiO3 bulk by introducing nanoscale porosity
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Temperature effect on the velocity-porosity relationship in rocks
<p>These data are the compressional wave waveform data obtained by Ba et al. (2019) through ultrasonic experimental measurements on carbonates at different temperatures.</p> <p>In the package of data, each folder of 1, 2, 4, 5, 6, 7, 8, 9, 10 and 11 indicates sample number, respectively. For each sample with different pore fluids, waveforms measured at different temperatures are saved as different TXT files. For the title of each TXT file, it includes the sample number, pore fluid and temperature value. For instance, “1_Fullwater_20℃_80 MPa” denotes that sample 1 with the full water saturation is measured at the 20℃ and confining pressure of 80 MPa, while “2_Fulloil_140℃_20 MPa” denotes that sample 2 with the full oil saturation is measured at 140℃ and confining pressure of 20 MPa. The package also contains the TXT files of sample length and system delay time.</p> <p> </p>
Wave propagation in infinituple-porosity media
<p>These data are the P-wave velocity and 1/Q as a function of frequency for self-similar (<em>D<sub>f </sub></em>= 2 and 3) , exponential (<span class="math-tex">\(\theta\)</span>= 10<sup>0</sup> and 10<sup>-2</sup>) and Gaussian distributions (<span class="math-tex">\(\sigma_{r}^2\)</span>=4.0 and 0.5) of the inclusions.</p>
Porosity by onboard Moisture and Density (MAD) measurements in NanTroSEIZE project
<p>This datasets include depth and sample porosity by onboard Moisture and Density (MAD) measurements at IODP Sites C0001, C0002, C0004, C0006, C0009, C0012, and C0024 at the Nankai Trough. </p> <p>These datasets were originally downloaded from http://sio7.jamstec.go.jp, which is now temporary closed.</p> <p>Uploaded with permission of JAMSTEC.</p>
Progression and Etiology of Cortical Porosity in Diabetic Bone Disease
ClinicalTrials.gov study NCT04208230. IPD Sharing: NO. Countries: 1. Publications: 0.
Association Between Serum Periostin Levels and Cortical Porosity in Patients With Secondary Hyperparathyroidism
ClinicalTrials.gov study NCT02524041. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Surface Porosity Prediction in Directed-Energy-Deposition (DED) Printed SS316L Parts
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Old version of "Mid-Infrared Reflectance and Emissivity Spectra of High Porosity Regoliths"
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Prediction of chalk porosity and water saturation by combining seismic and GPR data
<p>We predict porosity and water saturation of chalk by combining seismic and GPR data.</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.