Find research datasets worth reusing

Photobiomodulation Therapy Combined With Static Magnetic Field in Patients With COVID-19

ClinicalTrials.gov study NCT04386694. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Developing Interview Questions to Estimate Workplace Exposure to Electric and Magnetic Fields

ClinicalTrials.gov study NCT00340054. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Open Multi-center Safety & Efficacy Study of Low Frequency Magnetic Fields to Treat Unresponsive Diabetic Foot Ulcers.

ClinicalTrials.gov study NCT02145962. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Cytotron® Delivered Rotational Field Quantum Nuclear Magnetic Resonance Therapy for Multiple Sclerosis

ClinicalTrials.gov study NCT01220830. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Using Magnetic Field Tracking to Confirm Nasogastric Tube Placement at Point of Care

ClinicalTrials.gov study NCT05204901. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →

Assessing Impacts of Static Magnetic Fields on Peripheral Pulses and Skin Blood Flow

ClinicalTrials.gov study NCT04539704. IPD Sharing: NO. Countries: 1. Publications: 1.

opencc-by-4.0Feb 2020View details →

Is the lunar magnetic field correlated with gravity or topography?

Supplementary data to the article     Gong, S. and Wieczorek, M. (2020) Is the lunar magnetic field correlated     with gravity or topography? Journal of Geophysical Research: Planets. This archive contains the Bouguer gravity model used in the analyses of the above cited manuscript, as well as the data files to reproduce Figures 2-3 and Figures S1-S3. For the correlation results, the bandwidth and angular radius of the window were 26 and 10 degrees, respectively, which yields a concentration factor that is better than 99%. FILE DESCRIPTIONS 34_12_3220_900_80_misfit.sh     This file contains the spherical harmonic coefficients of the Bouguer     gravity model up to degree and order 900. The two values in the first     row correspond to the reference radius of the model in km and the     constant GM in km^3/s^-2. To generate this model, all known gravitational     contributions from the crust were removed from the free-air gravity,     including surface relief, lateral variations in crustal density, and     crustal thickness variations. The crustal thickness model is from     Wieczorek et al. (2013), which has an average thickness of 34 km, a     constant crustal porosity of 12%, and a mantle density of 3200 kg/m^3. mc_total_10_26_1_surface.dat     Data used to generate the lower panel of Figure 2. This file contains the     95% confidence limits of the average correlation from the Monte Carlo     simulations which were performed every 30 degrees in both longitude and     latitude. The first two columns correspond to the latitude and longitude,     and the third to fifth columns correspond to the 95% confidence limits by     using topography, total free-air gravity, and total Bouger gravity,     respectively. spec_10_26_1_surface.dat     Data used to generate Figure 3. Correlation results between total magnetic     field and topography, total free-air gravity, and total Bouguer gravity at     the surface. The first two columns correspond to the latitude and longitude,     and the third to fifth columns correspond to the ratio between the average     correlation and its 95% confidence limits by using topography, total     free-air gravity, and total Bouger gravity, respectively. If the value is     equal to or greater than 1, this indicates that the total magnetic field is     positively correlated with the testing field (topography, total free-air     gravity, or total Bouguer gravity); If the value is equal to or less than     -1, this indicates that the total magnetic field is negatively correlated     with the testing field. spec_10_26_1_surface_4lwin.dat     Data used to generate Figure S1. Correlation results calculated at the     surface by removing the first 4*lwin degrees. spec_10_26_1_30km.dat     Data used to generate Figure S2. Correlation results calculated at 30 km     altitude. spec_10_26_1_surface_3sigma.dat     Data used to generate Figure S3. Correlation results calculated at the     surface by using the 99% confidence limits.

opencc-by-4.0Mar 2020View details →

Dataset in the manscript titiled Magnetic field effect on plume dynamics and optical emission of laser-produced tungsten plasma in vacuum

This is the data in the manuscript titiled "Magnetic field effect on plume dynamics and optical emission of laser-produced tungsten plasma in vacuum"submitted to POP

opencc-by-4.0Apr 2020View details →

Raw magnetometer data for magnetic field intensity in central Lithuania during the years 2016 and 2017

Lithuanian University of Health Sciences, in cooperation with Kaunas University of Technology and other international partners, have possibility to analyze local GMF data since the installation of a highly sensitive magnetometer in Baisogala, Lithuania in 2014. It was installed by the HeartMath Institute in California, USA. The HeartMath Institute maintains a network of highly sensitive calibrated induction coil magnetometers (Zonge ANT-4; sensitivity e-12 T) as part of a special project called the Global Coherence Initiative (<a href="https://www.heartmath.org/gci/">heartmath.org/gci</a>). The zip archives contains raw magnetometer data for geomagnetic field intensity in central Lithuania during years 2016 and 2017 (with the permission of HeartMath Institute). Each *.mat file comprises two variables:     M_raw - raw data;     t - corresponding unix timestamps. Data is recorded at average 130.2083 Hz sampling rate. The raw values must be multiplied by the factor 1000/(2^20) to be represented as pico Teslas. Here only the magnetic field's intensity in East/West direction is provided.

opencc-by-4.0Apr 2019View details →

Spherical harmonic model of the magnetic field of Mars from Langlais et al. (2019)

Langlais2019.sh.gz is a gzipped file of the magnetic potential coefficients of Mars as published by Langlais et al. (2019). This is the same as the file jgre21147-sup-0003-Table_SI-S01.txt in the supporting information of this manuscript.

opencc-by-4.0Aug 2000View details →

Full map of the PHENIX magnetic field

The calculated full map of the magnetic field of the PHENIX experiment at RHIC The file fullmap.out (approx.50MB when unszipped) contains a full field map in the volume <ul> <li>-200cm <= z <= 200cm ; 0 <= r <= 400cm ;  phi in 3deg steps</li> <li>+zet is north (Bzet is negative because the field points south)</li> <li>0 deg is towards the back of the mfh (west), 90deg is up.</li> </ul> Note: for |z| > 100 or r > 300 bzet and brad are the same for all phi, bphi is set to 0 according to previous discussions. It means that this map is completely useless inside the return yoke, but it should be reasonably good where the detectors are.

dryad28/100

Janus microdimer swimming in oscillating magnetic field

Artificial microswimmers powered by magnetic fields have numerous applications, such as drug delivery, biosensing for minimally invasive medicine and environmental remediation. Recently, a Janus microdimer surface walker that can be propelled by an oscillating magnetic field near a surface was reported by Li et al.[2018]. To clarify the mechanism for the surface walker, we numerically studied in detail a Janus microdimer swimming near a wall actuated by an oscillating magnetic field. The results showed that a Janus microdimer in an oscillating magnetic field can produce magnetic torque in the y-direction, which eventually propels the Janus microdimer along the x-direction near a wall. Furthermore, we found that the Janus microdimer can also move along a special direction in an oscillating magnetic field with two orientations without a wall. The knowledge obtained in this study is fundamental for understanding the interactions between a Janus microdimer and surfaces in an oscillating magnetic field and is useful for controlling Janus microdimer motion with or without a wall.

opencc-zeroSep 2020View details →

dryad28/100

Data from: Magnetic field inhomogeneities due to CO 2 incubator shelves: a source of experimental confounding and variability?

A thorough assessment of the static magnetic field (SMF) inside a CO2 incubator allowed us to identify non-negligible inhomogeneities close to the floor, ceiling, walls and the door. Given that incubator's shelves are made of a non-magnetic stainless steel alloy, we did not expect any important effect of them on the SMF. Surprisingly, we did find relatively strong distortion of the SMF due to shelves. Indeed, our high-resolution maps of the SMF revealed that distortion is such that field intensities differing by a factor of up to 36 were measured on the surface of the shelf at locations only few millimetres apart from each other. Furthermore, the most intense of these fields was around five times greater than the ones found inside the incubator (without the metallic shelves in), while the lowest one was around 10 times lower, reaching the so-called hypomagnetic field range. Our findings, together with a survey of the literature on biological effects of hypomagnetic fields, soundly support the idea that SMF inhomogeneities inside incubators, especially due to shelves' holes, are a potential source of confounding and variability in experiments with cell cultures kept in an incubator.

opencc-zeroDec 2017View details →

opencc-by-4.0Dec 2019View details →

Climate Changes in the Upper Atmosphere: Contributions by the Changing Greenhouse Gas Concentrations and Earth's Magnetic Field

These are data that were used to write the paper: "Climate Changes in the Upper Atmosphere: Contributions by the Changing Greenhouse Gas Concentrations and Earth's Magnetic Field " by Liying Qian, Joseph M. McInerney, Stan S. Solomon, Hanli Liu, Alan G. Burns.

opencc-by-4.0Dec 2023View details →

Dataset for "Linear theory analysis and one-dimensional hybrid simulations of high-frequency EMIC waves in a dipole magnetic field"

Processed dataset to produce the figures in the manuscript

opencc-by-4.0Apr 2024View details →

Experimental data for "Experimental Demonstration of Electric Power Generation from Earth's Rotation Through Its Own Magnetic Field"

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2021View details →

Probing fossil magnetic field effects in the core of evolved low-mass stars using mixed-mode frequencies

The recent discovery of the moderate differential rotation between the core and the envelope of intermediate-mass (IM) main-sequence and evolved stars, and the population of IM red giants presenting a surprisingly low-amplitude of their mixed modes (i.e. modes that behave as acoustic modes in their external envelope and as gravity modes in their core) could both be the signature of a strong magnetic field trapped inside the radiative regions of IM stars. Indeed, stars more massive than 1.1 solar mass are known to develop a convective core during their main sequence. The field generated by the dynamo triggered by this convection could be the progenitor of a strong fossil magnetic field trapped inside the core of the star for the rest of its evolution. In this context, the mixed modes observed thanks to space-based asteroseismology can constitute an excellent probe of the deepest layers in IM evolved stars: such magnetic fields may impact their propagation inside the core of these stars, and these perturbations should be visible in asteroseismic data. To unravel which constraints can be obtained from these observations, we theoretically investigate the effects of a plausible mixed magnetic field with various amplitudes on the mixed-mode frequencies of red giants. Applying a perturbative method, we estimate the magnetic splitting of the frequencies of simulated mixed dipolar modes that depends on the magnetic field strength and its configuration. A complete asymptotic analysis is derived, showing the potential of asteroseismology to probe the magnetism at each depth as this is done for stellar rotation. The effects of the mass and the metallicity of the stars are also explored. Finally, we infer an upper limit for the strength of the field and the associated lower limit for the timescale of its action to redistribute angular momentum in stellar interiors.

opencc-by-4.0Dec 2021View details →

Datasets for "Gravitational wave signal from primordial magnetic fields in the Pulsar Timing Array frequency band'

The tar archive run_directories.zip contains the run directories for each run in Table 1 and the figures of the paper "Gravitational wave signal from primordial magnetic fields in the Pulsar Timing Array frequency band", by A. Roper Pol, C. Caprini, A. Neronov, D. Semikoz. The run directories, the plots, and the code to generate the plots can be found in https://github.com/AlbertoRoper/GW_turbulence.

openMar 2022View details →

Datasets for the integration of MT data with magnetic inversion: proof-of-concept using synthetic data and field application

This dataset is a companion dataset to the manuscript "Utilisation of probabilistic MT inversions to constrain magnetic data inversion: proof-of-concept and field application", by Jérémie Giraud, Hoël Seillé, Mark D. Lindsay, Gerhard Visser, Vitaliy Ogarko, and Mark W. Jessel.  It contains models and data shown in the paper. The document was submitted for publication in Solid Earth:  https://se.copernicus.org/preprints/se-2021-124/se-2021-124-manuscript-version2.pdf The folder organisation is as follows, where bold refers to folders and subfolders, and text in italic corresponds to a succinct description of the contents. |-- Dataset_synth  > synthetic dataset and results |   |-- Mag  >  magnetic data and models: inversion and results  |   |   |-- domains  >  contains the files used to define domains for inversion |   |   |-- inversion results  >  contains subfolders with inversion results for different cases  |   |   |   |-- case a  |   |   |   |-- case b |   |   |   |-- case c |   |   |   |-- case d |   |   |   |-- case e |   |   |   |-- case f   |   |   |-- membership values  >  contain files with membership values for the cases (a)-(f) |   |   |-- responses  >  simulated data with and without noise |   |   |-- true model  >  true model used for simulation |   |-- MT  >  MT probabilities, sites information and models |   |   |-- probabilities  >  MT-derived probabilities |   |   |-- responses  >  simulated MT data |   |   |   |-- edi_noise_5p  >  5% noise-contaminated data (*.edi files) |   |   |   |-- MansfieldMT_fwd.dat  >  uncontaminated (ModEM format *.dat file) |   |   |-- model  >  model in ModEM format (*.mod) and WinGLink format (.out) formats |   |   |-- coordinates.txt  >  location of MT sites |   |-- Rock units  >  contains the file with indices of the rock unit model, in 3D, of the modified Mansfield model. The indices are stored as a column vector.  |-- Dataset_field  > field dataset |   |-- Mag  >  magnetic data and models: inversion and results |   |   |-- admm constraints  >  file with bound constraints used in cases 3, 4, and adjusted case 4. |   |   |-- data  >  magnetic data for inversion, x, y, z, data column format. |   |   |-- inverted models  >  folders containing inversion results for the different cases tested |   |   |   |-- case 1  |   |   |   |-- case 2 |   |   |   |-- case 3 |   |   |   |-- case 4 |   |   |   |-- case 4 adjusted |   |-- MT  >  MT probabilities and sites information |   |   |-- probabilities  >  MT probabilities of interface and rock units (*.txt files) |   |   |-- coord_L26_sites  >  File containing the location of sites along ligne L26