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98 results for “induced polarization”
Spectral Induced Polarization (SIP) field data sets for comparison between time and frequency domain (Martin et al. 2020)
<p>Data and scripts for the scientific journal article:</p> <p>Martin, T., Günther, T., Flores Orozco, A. & Dahlin, T. (2020): <br> Evaluation of spectral induced polarization field measurements in time and frequency domain, <br> J. Appl. Geophys., 180, 104141, doi:10.1016/j.jappgeo.2020.104141.</p> <p>The paper deals with the comparison of instruments for measuring induced polarization (IP)<br> data, both in frequency domain (FD) as well in time-domain. Four instruments have been used<br> to measure two profiles (IP1: a=1m, IP5: a=5m) over a known blackshale near the town Schleiz<br> in Thuringia, Germany.</p> <p>Preface: Our vision is not only to publish scientific results, but also openly demonstrate<br> how the results have been produced. This includes the raw data, processed data and inversion<br> results, but also all scripts that have been used for it in a reproducible way.<br> The scripts use the pyBERT (Python Boundless Electrical Resistivity Tomography) based on the<br> pyGIMLi (Python Geophysical Inversion and Modelling Library) computational framework.<br> Here, we used the pyBERT version 2.3.1 based on pygimli 1.1.1, but it should be reachable by<br> similar versions as well. All is based on the classes FDIPdata and TDIPdata.<br> For installing, we refer to the webpages www.pygimli.org and gitlab.com/resistivity-net/bert</p> <p>Folders:<br> figures figures used for production process, generated by the scripts in the folder<br> scripts Python scripts for generating the pdf files<br> IP1 data for the shallow profile using an electrode spacing of a=1m<br> IP5 data for the deeper profile using an electrode spacing of a=5m</p> <p>Each of the two data folders contains data and inversion results in separated folder named<br> according to the instrument names: <br> * SIP256C (Radic Research) - FDIP instrument with remote units (intelligent electrodes)<br> * DAS-1 (Multi-Phase Technology) - FDIP and TDIP instrument using multi-core cables<br> * Terrameter LS2 (GuidelineGeo ABEM) - TDIP instrument using multi-core cables<br> * Syscal Pro Switch72 (Iris instruments) - TDIP instrument using multi-core cables</p> <p>Please see readme files in the individual folders for specific information.</p> <p>Notice: In additon to the published results, we also added more data from the field <br> measurements which completes our results, e.g. <br> - TDIP data with 8s aquisition time<br> - all four instruments for the long profile IP5</p> <p>Complete full-waveform data for the Terrameter LS2 are available on request.</p>
Spectral induced polarization of non-consolidated heterogeneous clay mixtures
<p>We present a spectral induced polarization dataset on heterogeneous mixtures of illite and red montmorillonite, with two longitudinal, and one transversal arrangement. Additionally, there is a 50-50% in volume content homogeneous mixture of illite and red montmorillonite.</p> <p>Each file has its header, describing each column. The ReadMe file also explains the content and format of each dataset.</p>
Experimental characterization of transversal-heterogeneous clay mixtures by the spectral induced polarization method
<p>In this folder you will find multiple datasets (*.txt) from SIP measurements of transversal-heterogeneous clay mixtures using spectral induced polarization acquired between April and May 2022. Additionally, we include two python codes to read and process the data.</p> <p>SIP_Plot_ReWrite.py is a python program aimed to process a .res file from a SIP Fuchs III.<br> It gives a .txt file with the frequency, the resistivity, the phase and the associated errors.<br> In order for the program to give the resistivity, you will need to enter the geometric factor of the studied sample.</p> <p><br> The six text files in the folder (excluding README.txt) were created using SIP_Plot_ReWrite.py.</p> <p>IL_1by1.txt and IL_1by1_V2.txt are from two different homogeneous mixtures of illite and water with a concentration of initially 0.01 mol/L of NaCl.<br> MtR_1by1.txt is from a homogeneous mixture of red montmorillonite and water with a concentration of initially 0.01 mol/L of NaCl.</p> <p>IL_MtR_1by2.txt, IL_MtR_1by4.txt and IL_MtR_1by8.txt are from three transversal-heterogeneous mixtures of illite and red montmorillonite with water containing a concentration of initially 0.01 mol/L of NaCl.</p> <p><br> For IL_MtR_1by2.txt, there was one portion of each clay types, occupying a half of the cylindrical container each.</p> <p><br> For IL_MtR_1by4.txt, there was two portions of each clay types, occupying a quarter of the cylindrical container each.</p> <p><br> These two samples were made using the same mixtures as for IL_1by1.txt and MtR_1by1.txt.</p> <p><br> For IL_MtR_1by8.txt, there was four portions of each clay types, occupying an eighth of the cylindrical container each.<br> This sample was made using the same mixtures as for IL_1by1_V2.txt and MtR_1by1.txt.</p> <p><br> TestDoubleColeColeFit.py is a python program which optimizes a double Cole-Cole model by multiplication on SIP data.<br> This program needs a file with the same structure as the .txt file made by SIP_Plot_ReWrite.py.</p>
Supporting data for "Influence of an ionic comonomer on polymerization-induced self-assembly of diblock copolymers in non-polar media" (Polymer Chemistry, 2020, doi:10.1039/D0PY00101E)
<p>SAXS data [Q / (1/Å), I(Q) / Arb. unit, Uncertainty I(Q) / Arb. unit] provided as *.txt files</p> <p>DLS histograms [Diameter / nm, Proportion / %] provided as *.csv files</p>
Data for Spectral Induced Polarization of ZVI-AC-Sand Mixtures in Groundwater Remediation
<p>这是手稿“揭开地下水修复中 ZVI-AC-Sand 混合物的光谱诱导极化响应”的初始数据</p>
Spectral induced polarization of non-consolidated clays
<p>We present a spectral induced polarization dataset on four different types of clay (red and green montmorillonite samples, kaolinite sample, and illite sample) at five different salinities (from de-ionised water to 1 mol/L NaCl), and additionally two other clay samples (beige montmorillonite sample and Boom clay sample) at three differente salinities (from de-ionised water to 1 mol/L NaCl).</p> <p>Each file has its header, describing each column.</p> <p>The logic of the filenames is: "Clay type_salinity_SIP_raw".txt</p> <p><br> These results are published in Mendieta et al. (2021):<br> https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JB021125 (pre-print: doi:10.1002/essoar.10505885.2)</p>
Electronic appendix to: Spectral Induced Polarization (SIP) of Denitrification-Driven Microbial Activity in Column Experiments Packed with Calcareous Aquifer Sediments
<p>This is the electronic appendix of the publication <br> C. Strobel, S. Abramov, J. A. Huisman, O.A. Cirpka, A. Mellage (2022): Spectral Induced Polarization (SIP) of Denitrification-Driven Microbial Activity in Column Experiments Packed with Calcareous Aquifer Sediments (submitted)</p>
Electronic appendix for "Are we there yet? A critical experimental assessment of the application of induced polarization for monitoring geochemical processes", Strobel, C., Störiko, A, Olaf, O.A. & Mellage, A.
Open the record for dataset details and reuse information.
Data for the publication "A polarization-induced 2D hole gas in undoped gallium nitride quantum wells"
<p>This upload contains the data presented in the manuscript "A polarization-induced 2D hole gas in undoped gallium nitride quantum wells", which reports the observation of a high conductivity 2DHG in an epitaxially grown GaN/AlN heterostructure. This upload contains 4 files :</p> <ul> <li>1_tabulated_raw_data.xlsx : Both the raw experimental data along with the simulation results used in the Figures 1A, 2B, 3, 4, S2 in the paper. The data is encapsulated in a Excel file, with separate sheets used for each figure.</li> <li>2_nextnano_GaN_AlN_band_diagram.in : Input file for nextnano software (<a href="https://www.nextnano.de/">https://www.nextnano.de/</a>) for generating the band diagrams in the paper.</li> <li>3_README_XRD_sim.txt : Readme file with instructions for the XRD simulation for Fig 2</li> <li>4_XRD_sim_run.py : Python script for running the XRD simulation</li> </ul>
Aurora A and cortical flows promote polarization and cytokinesis by inducing asymmetric ECT-2 accumulation - Data Archive
<p>This archive contains all the images and raw data generated for: Katrina M Longhini & Michael Glotzer, “Aurora A and cortical flows promote polarization and cytokinesis by inducing asymmetric ECT-2 accumulation”</p> <p>The data is organized by figure then experiment. Each embryo folder contains formatted embryos, which are rotated, cropped, and photobleach corrected. Each recording starts at time 0 on the respective graph.</p> <p>The “AccumulationDataNew” files contain all the data generated from the “3pixel_membranefinder_w_dir.ijm” and “membrane_ROI_TimeSeries_max_scaled_dirs.ijm” scripts organized in a Tidy format generated in R using the first portion of the script “Edited_Membrane_Accumulation_Line_Script.Rmd”. These Fiji and R Markdown scripts are located in the “Analysis Scripts“ folder.</p> <p>All data visualization scripts are included in the “Analysis Scripts” folder.</p> <p>Sequences of plasmids generated for this paper are located in the “Plasmid Sequences” folder.</p>
Datasets used in 'Streambed hydraulic conductivity estimated by spectral induced polarization imaging can help to improve groundwater modeling'
<p>These datasets pertain to the manuscript entitled 'Streambed hydraulic conductivity estimated by spectral induced polarization imaging can help to improve groundwater modeling', which is currently submitted for revision in Water Resources Research. They comprise raw data from measurements taken in the field at 2 sites in terms of (1) pressure time series during the performed slug tests, (2) impedance from spectral induced polarization, (3) submersion levels of the used electrodes below the top of the water column, and (4) three-dimensional Cartesian coordinates relating the measurements spatially. The coordinates have been projected to a local coordinate system for each site, to comply with a non-disclosure agreement of the measurement locations. The projection of the coordinates still allows to fully reproduce the presented results, if using the methods described in the manuscript. The naming convention throughout the datasets is consistent with site labels used in the manuscript. All data is given as comma-separated values with intuitive file names and self-explanatory headers containing a list of field names. The slug test data includes multiple repetitions of the same measurement, and the impedance measurements contain normal as well as reciprocal readings – as described in the manuscript.</p> <p>The data is separated into two compressed file archives, named according to the site names given in the manuscript. Each file pertaining to slug tests at a certain location, in the subfolder “slugTestRecordings” has the following naming convention: “<locationTag>_<finalDepth>.csv”, where <locationTag> corresponds to the local coordinates given in “coordinates.txt”, and where <finalDepth> is an integer describing the largest depth in cm at which a slug test was performed according to the protocol described in the manuscript. Each file pertaining to impedance measurements at a certain profile, in the subfolder “SIPRecordings”, has the following naming convention: “<locationTag>_<frequency>.dat”, where <locationTag> corresponds to the local coordinates given in “coordinates.txt”, and where <frequency> is a zero-padded integer describing the measurement frequency in Hz at which the measurement was performed according to the protocol described in the manuscript. Submersion levels of the electrodes below the top of the stream’s water column are given in m in the file “submersionLevels.txt”, corresponding to the local coordinates given in “coordinates.txt”. The local coordinates given in m in “coordinates.txt” have the following convention for the column “locationTag”: “<profileTag>-<electrodeNumber>, where <profileTag> pertains to a name of the electrical array and <electrodeNumber”> is a continuous number for the electrode. Slug tests were exclusively perfomed at the location of electrodes and files are, thus, as described above, named accordingly.</p>
Spectral induced polarization of calcite precipitation: 2D experimental pore scale observation
<p>This data will be available after publication.</p>
DATASET: Tracking microbial movement in saturated media with spectral induced polarization
<p>Dataset for Tracking microbial movement in saturated media with spectral induced polarization by Saneiyan et al. </p> <p> </p> <p><em>Abstract</em></p> <p>Pathogenic microorganisms in the subsurface can contaminate the soil and water supplies potentially posing great danger to human health. Early contamination detection routines rely on sparse direct sampling which is spatiotemporally limited. Thus, the path of microorganisms in the subsurface remains ambiguous and this can cause delays in detection of biohazardous threats. The geophysical spectral induced polarization (SIP) technique, sensitive to microbe’s presence and activity in porous media, is a promising method to monitor microbial transport pathways. Here we evaluated the efficiency of SIP in monitoring the chemotactic movement of Sporosarcina pasteurii in saturated porous media. A cylindrical sample holder was packed with Ottawa sand and saturated with sterile KCl solution to allow free movement of the microbes. The sample holder was oriented vertically and S. pasteurii was introduced at the bottom, allowing the movement of the microbes against gravity, towards a carbon source available at the top of the column. Temporal SIP measurements were collected at 3 regions of the sample holder: bottom (microbial injection point), middle and top (carbon source). Both the real (σ') and the imaginary (σ'') conductivity parts of the SIP signal increased over time with the σ^'' showing a peak signal magnitude following the upward movement of the microbes. We repeated the experiment excluding the carbon source in experiment 2 and omitting microbial injection in experiment 3. Unlike experiment 1, we did not observe any significant SIP signal changes in these two experiments. Our study is indicating there is a strong SIP signal correlation with microbial chemotaxis.</p> <p> </p>
Induced polarization and hydraulic tomography joint inversion results on a synthetic model
<p>These data are supplementary material for the following publication: Lukas Römhild, Gianluca Fiandaca, Peter Bayer (2024): Joint inversion of induced polarization and hydraulic tomography data for hydraulic conductivity imaging, <em>Geophysical Journal International</em>, Volume 238, Issue 2, August 2024, Pages 960–973, <a href="https://doi.org/10.1093/gji/ggae197">https://doi.org/10.1093/gji/ggae197</a></p> <p>The data set presents induced polarization (IP) and hydraulic tomography (HT) inversion results for a simple synthetic model. In addition, a joint inversion approach for both data types was implemented, so that individual and joint inversion results can be compared. We also show how the joint inversion procedure has the potential to correct a petrophysical bias within the IP inversion by incorporating the hydraulic data. The effect of different HT setups is also assessed by implementing different source and receiver positions.</p> <p>The file directory contains the original synthetic model, a subfolder for the synthetic data of IP and HT, and a subfolder for the individual HT and IP, as well as the joint inversion results. The HT results contain three different setups (1m, 2m-inside, 2m-outside). The IP results are shown for five different assumptions of petrophysical bias (-2, -1, 0, +1, +2). The joint inversion results contain all possible combinations of these test cases. For more information on the methodology, we refer to the paper (see above, currently under review).</p>
Electrostatically Driven Polarization Flop and strain-induced Curvature in free-standing Ferroelectric Superlattices
<p>Supporting data for publication: "Electrostatically Driven Polarization Flop and strain-induced Curvature in free-standing Ferroelectric Superlattices"</p> <p>DOI: 10.1002/adma.202106826</p> <p>This repository contains higher resolution STEM images published in the paper.</p>
Induced polarization and hydraulic tomography inversion results of the Bolstern aquifer analog
<p>These data are supplementary material for the following publication:</p> <p>Römhild, L., Fiandaca, G., Hu, L., Meyer, L., Bayer, P. (2022): Imaging hydraulic conductivity in near-surface aquifers by complementing cross-borehole induced polarization with hydraulic experiments. Advances in Water Resources, 170, 104322.<br> https://doi.org/10.1016/j.advwatres.2022.104322.</p> <p>The data set presents Induced Polarisation (IP) and Hydraulic Tomography (HT) inversion results achieved from synthetic experiments on the Bolstern aquifer analog. It consists of the original Bolstern data set (hydraulic conductivity and porosity information) as described in Heinz et al. (2003) as well as the IP and HT inversion results with three different spacings (0.25 m, 0.5 m, 1 m) and two additional IP calibration approaches (factor and exponential calibration). All results are given as 2D cross-sections with the corresponding K-information.</p>
Data for "Magic Angle Spinning Solid-State 13C Photochemically Induced Dynamic Nuclear Polarization by a Synthetic Donor–Chromophore–Acceptor System at 9.4 T"
<p>NMR data and photo-CIDNP-enhanced NMR data for "Magic Angle Spinning Solid-State 13C Photochemically Induced Dynamic Nuclear Polarization by a Synthetic Donor–Chromophore–Acceptor System at 9.4 T".</p> <p>All data but those relative to the spectra in Figure S13 are provided in Bruker format. For the low field experiments (Figure S13), raw free induction decay NMR data are provided, together with a processing script written in Wolfram Mathematica.</p>
dataset for T. Shimaya and K. A. Takeuchi, Tilt-induced polar order and topological defects in growing bacterial populations. PNAS Nexus 2022
<p>dataset for T. Shimaya and K. A. Takeuchi, Tilt-induced polar order and topological defects in growing bacterial populations. PNAS Nexus 2022. DOI: 10.1093/pnasnexus/pgac269</p>
Preventive Treatment of Oxaliplatin Induced Peripheral Neuropathy in Metastatic Colorectal Cancer (POLAR-M)
ClinicalTrials.gov study NCT03654729. IPD Sharing: NO. Countries: 13. Publications: 1.
Dataset related to article "Senescent thyrocytes and thyroid tumor cells induce M2-like macrophage polarization of human monocytes via a PGE2-dependent mechanism."
<p>BACKGROUND:</p> <p>Thyroid carcinoma includes several variants characterized by different biological and clinical features: from indolent microcarcinoma to undifferentiated and aggressive anaplastic carcinoma. Inflammation plays a critical role in thyroid tumors. Conditions predisposing to cancer, as well as oncogene activity, contribute to the construction of an inflammatory microenvironment that facilitates thyroid tumor progression. Moreover, oncogene-induced senescence, a mechanism tightly connected with inflammation, and able to restrain or promote cancer progression, is involved in thyroid cancer. The interactions between thyroid tumor cells and the microenvironment are not completely clarified.</p> <p>METHODS:</p> <p>We characterize in vitro the interplay between macrophages and senescent thyrocytes and tumor-derived cell lines, modeling early and late thyroid tumor stages, respectively. Purified peripheral blood-derived human monocytes were exposed to thyroid cell-derived conditioned medium (CM) and assessed for phenotype by flow cytometry. The factors secreted by thyroid cells and macrophages were identified by gene expression analysis and ELISA. The protumoral effect of macrophages was assessed by wound healing assay on K1 thyroid tumor cells. The expression of PTGS2 and M2 markers in thyroid tumors was investigated in publicly available datasets.</p> <p>RESULTS:</p> <p>Human monocytes exposed to CM from senescent thyrocytes and thyroid tumor cell lines undergo M2-like polarization, showing high CD206 and low MHC II markers, and upregulation of CCL17 secretion. The obtained M2-like macrophages displayed tumor-promoting activity. Among genes overexpressed in polarizing cells, we identified the prostaglandin-endoperoxide synthase enzyme (PTGS2/COX-2), which is involved in the production of prostaglandin E2 (PGE2). By using COX-2 inhibitors we demonstrated that the M2-like polarization ability of thyroid cells is related to the production of PGE2. Co-expression of PTGS2 and M2 markers is observed a significant fraction of human thyroid tumors.</p> <p>CONCLUSIONS:</p> <p>Our results demonstrate that both senescent thyrocytes and thyroid tumor cell lines trigger M2-like macrophage polarization that is related to PGE2 secretion. This suggests that the interaction with the microenvironment occurs at both early and late thyroid tumor stages, and favors tumor progression. The co-expression of PTGS2 gene and M2 markers in human thyroid carcinoma highlights the possibility to counteract tumor growth through COX-2 inhibition.</p>
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Allen Brain Atlas
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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.
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.