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98 results for “induced polarization”

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zenodo32/100

Materials for "Induced Polarization of Clayey Rocks and Soils: Non-Linear Complex Conductivity Models"

<p>These files are for the work "Induced Polarization of Clayey Rocks and Soils: Non-Linear Complex Conductivity Models" that is submitted to Journal of Geophysical Research: Solid Earth.</p><p>They include two parts of Experiments and Simulations, details of each part being explained in the Readme.txt therein.&nbsp;</p><p>Through these materials, models and results presented in this work can be independently validated by readers.</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Dataset for the manuscript "Robust ParaHydrogen-Induced Polarization at High Concentrations"

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
dryad32/100

Spectra induce polarization data of bacteria in soil

<p><span>Real-time monitoring of microbial activity in porous media is still facing critical challenges because conventional analytical procedures are intrusive. Induced polarization (IP) has shown promises as a non-intrusive monitoring approach of such process. However, there is still a </span><span>lack of quantitative analysis of soil column experiments to show how IP-based parameters can be related to the density of bacteria. </span><span>The </span><span>evolution of </span><span>bacteria density and induced polarization is here performed in a soil-packed column experiment using </span><span>Pseudomonas Aeruginosa O1 (PAO1).</span></p> <p><span><span>A quantitative relationship between the quadrature conductivity and the bacteria density is</span> <span>established and then used </span><span>to assess bacteria growth and decay</span><span> and </span><span>infer the Monod kinetic parameters. The </span><span>Monod kinetic parameters inferred from the column experiments mimicking field conditions are different from those obtained from a batch experiment.</span></span></p>

opencc-zeroMay 2022View details →
zenodo32/100

Repository for "Activity-induced polar patterns of filaments gliding on a sphere"

<p>Activity-induced polar patterns of filaments gliding on a sphere (Nature Communications)</p> <p>The structure of this repository is as follows:</p> <p>1. Image.zip --&nbsp;contains confocal images and equirectangular projections&nbsp;</p> <ul> <li> <p>Confocal_Stacks &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</p> </li> </ul> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;contains confocal stacks of Movie S1-S8</p> <ul> <li> <p>Epifluorescence_Projections</p> </li> </ul> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;contains epifluorescence projections of 100, 150, 300, and 600 nM encapsulated actin concentrations for Figure 1&amp;2</p> <ul> <li> <p>Equirectangular_Projections</p> </li> </ul> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;contains equirectangular projections&nbsp;of Movie S2, S4-6, S8</p> <p>2. Code.zip -- contains python3 codes and data&nbsp;for MSD and optical flow analysis&nbsp;</p> <ul> <li> <p>MSD</p> </li> </ul> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;contains codes and data for the MSD analysis in Figure 3f&amp;3g and Figure S5</p> <ul> <li> <p>OpticalFlow</p> </li> </ul> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;contains codes and data for optical flow analysis in Figure 4b&amp;4c</p> <p>&nbsp;</p>

opencc-by-4.0May 2022View details →
zenodo32/100

Defect-induced tuning of polarity-dependent adsorption in hydrophobic–hydrophilic UiO-66

<p>Simulations outputs from DFT and MC calculations on UiO-66 structures</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

The influence of Cu/Na concentration ratio, pH and ionic strength on the spectral induced polarization signature of saturated silica sand

<p>The file contains the complete spectra of real conductivity, quadrature conductivity and phase for each of the 25 samples. The data are first divided by set and then combined.</p>

opencc-by-4.0Feb 2018View details →
zenodo32/100

Data for "Mechanism of Solid-State 1H Photochemically Induced Dynamic Nuclear Polarization in a Synthetic Donor−Chromophore−Acceptor at 0.3 T"

<p>This data is associated with the publication "Mechanism of Solid-State 1H Photochemically Induced Dynamic Nuclear Polarization in a Synthetic Donor&minus;Chromophore&minus;Acceptor at 0.3 T" and contains the NMR and photo-CIDNP data discussed in the publication.</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

The Relation Between Crystal Structure and the Occurrence of Quantum-Rotor Induced Polarization

<p>NMR raw data as TopSpin (Bruker Corporation) files and XRD data as Origin files for the article titled &quot;The Relation Between Crystal Structure and the Occurrence of Quantum-Rotor Induced Polarization&quot;.</p>

opencc-by-4.0Jul 2021View details →
zenodo32/100

Spectral induced polarization signatures of microbial nitrate reduction in unsaturated sediment columns

<p>This file contains the SIP spectra data of nitrate bioreduction experiments promoted by <em>Shewanella oneidensis strain&nbsp;</em>MR-1&nbsp;(Exp. 1-3)&nbsp;in unsaturated coarse H2C and fine H2F Hanford sediments. The data are&nbsp;sorted by the phase angle (mrads),&nbsp;quadrature (imaginary) and in-phase (real) conductivity (mS/m).&nbsp;</p>

opencc-by-4.0Nov 2018View details →
zenodo32/100

Dataset for photothermally induced birefringence in an optical nanofiber for all-optical polarization manipulation

<p>Dataset for manuscript named as &quot;photothermally induced birefringence in an optical nanofiber for all-optical polarization manipulation&quot;.</p>

opencc-by-4.0Feb 2023View details →
dryad32/100

Spectra induce polarization data of bacteria in soil

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publicMay 2022View details →
zenodo28/100

Modeling plant roots spectral induced polarization signature - data

<p>Data used for Figures</p>

opencc-by-4.0Oct 2020View details →
zenodo28/100

Data for "Time domain induced polarization data acquisition at contaminated sites"

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opencc-by-4.0Nov 2024View details →
zenodo28/100

Non-invasive monitoring of a reactive soil transition zone during water table fluctuations using spectral induced polarization (SIP) and electrodic potential (EP)

<p>Transition zones separating the unsaturated and saturated domains in soils are a hotspot for biogeochemical activity. They are challenging to study because they are dynamic, requiring high resolution temporal and spatial data acquisition methods to capture the biogeochemical processes across the water table. Non-invasive geophysical techniques, such as spectral induced polarization (SIP) and electrodic potential (EP), offer comparatively inexpensive monitoring approaches that yield data on changes in soil electrical properties, driven by reactive processes at high spatial and temporal resolutions. We investigated SIP and EP signal variations in artificial soil-filled columns, experiencing periodic water table fluctuations in order to: (1) assess the effectiveness of SIP and EP in monitoring a complex soil transition zone, and (2) couple the measured geophysical signals to changes in physical, chemical and microbial properties. SIP responses showed a clear dependence on the depth-distribution of microbial biomass. Dynamic imaginary conductivity (<em>&sigma;&#39;&#39;</em>) responses were only detected in the water table fluctuation zone and, in contrast to real conductivity (<em>&sigma;&#39;</em>) data, did not exhibit a direct soil moisture driven dependence. We attribute the observed dynamics in <em>&sigma;&#39;&#39; </em>to microbially driven reactions. An EP anomaly arose concurrent to the production of SO<sub>4</sub><sup>2- </sup>as a result of oxygenation at depth during drainage of the columns. Our findings show that continuous SIP and EP signals, in conjunction with periodic measurements of geochemical indicators, can help determine the location and temporal variability of biogeochemical activity and be used to monitor targeted reaction zones and pathways in complex soil environments.</p>

opencc-by-nc-4.0Aug 2018View details →
zenodo28/100

Data for "On the Reliability of Time Domain Induced Polarization for Contaminated Site: Partial Integral vs Full Decay"

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opencc-by-4.0Aug 2024View details →
zenodo28/100

Simulation code in "Induced polarization of metal grains: simulation of three-dimensional electric field"

<p>The simulation code for induced polarization of metal grains in three-dimensional field.</p>

opencc-by-4.0Mar 2023View details →
geo24/100

Diabetes exacerbated sepsis-induced intestinal injury by promoting M1 Macrophage Polarization via miR-3061/Snail1 signaling.

GEO Series GSE202261. Mus musculus. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing.

openGEO-OpenSep 2022View details →
geo24/100

Blockade of PF4-induced Th1-Treg polarization enhances anti-tumor immunity (Bulk RNA-Seq)

GEO Series GSE252052. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2024View details →
geo24/100

Identification of pharmacologic inhibitors and activators of IL-4-induced macrophage polarization [THP-1 RNA-seq]

GEO Series GSE154346. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2021View details →
geo24/100

Identification of pharmacologic inhibitors and activators of IL-4-induced macrophage polarization in PBMC and THP-1 cells

GEO Series GSE154347. Homo sapiens. 81 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenOct 2021View details →

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DANDI Archive for NWB datasets

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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.

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Last verified 2026-04-29Open record