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286 results for “Magnetometer”

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zenodo44/100

IODP Expedition 383 Towed magnetometer

Seafloor magnetometer data were measured using a Marine Magnetics 1000 m SeaSpy towed magnetometer. Raw log and data files are presented by expedition.

opencc-by-4.0Jul 2021View details →
zenodo44/100

MESSENGER magnetometer and coordinates prepared dataset

<p>This dataset is based on the original MESSENGER mission magnetometer and coordinate data as made available at PDS PPI. It introduces a number of improvements upon the original [1 sec temporal resolution]:</p> <ol> <li>Magnetometer calibration signals have been removed.</li> <li>Coordinates and magnetic field measurements have been merged together.</li> <li>Additional fields, such as model dipole magnetic field and&nbsp;planetary position in a heliocentric coordinate system have been added.</li> <li>The dataset has been split up into files by orbit numbers, with each file centered on the periapsis.</li> <li>Data for a&nbsp;number of partially recorded orbits has been removed.</li> </ol>

opencc-by-4.0Nov 2021View details →
zenodo44/100

Global Empirical Picture of Magnetospheric Substorms Inferred from Multi-Mission Magnetometer Data

<p>Data associated with Journal of Geophysical Research: Space Physics article titled: &quot;Global Empirical Picture of Magnetospheric Substorms Inferred from Multi-Mission Magnetometer Data&quot;. This includes all the digital data that was used in constructing the Figures from the main and supplementary text, along with files containing the fit set of coefficients and parameters for the model, and files describing&nbsp;the subset of magnetometer used for fitting the model.&nbsp;</p>

opencc-by-4.0Dec 2018View details →
zenodo40/100

Breznice magnetometer data

<p>Data from the magnetometer survey on the&nbsp;archaeological site of Březnice (Czechia). The site represents one of the large settlements of the Late Bronze Age (Ha A2/B1, 14C: 1124&ndash;976 BC) in Bohemia. It became known mainly for a high number of so-called &lsquo;trenches&rsquo;, oblong pit features (breadth around 1 m, length 4&ndash;7 m), remarkable not only for their specific shape but also for their contents (unusual amounts of pottery, daub, loom weights and other finds, often with traces of a strong fire).</p> <p>In 2018&ndash;20, a research project focusing on the study of the site was realized. Magnetometer survey became an integral part of the project.&nbsp;A 5-channel fluxgate gradiometer from Sensys (Germany) was used; the vertical gradient of the Z component of the Earth magnetic field was measured. In total, the survey covered an area of over 17 hectares and included over 1.8 million measurements. <strong>&nbsp;</strong></p> <p>Through this repository, the authors want to make the Březnice data free for further research that could supplement or modify the results obtained so far. Their own attempt at the data analysis and interpretation has been published in&nbsp;Kuna, M. et al.,&nbsp;A quantitative approach to magnetometer survey data: the case of the Late Bronze Age site of Březnice. Journal of Archaeological Science 126 (2021) 105298 (DOI:&nbsp;https://doi.org/10.1016/j.jas.2020.105298).&nbsp;</p> <p>The source data is contained in file 01 in the form of a GIS vector point layer. File 02 displays the identified anomalies; their properties are in file 03. Files 04-09 contain additional data.</p>

opencc-by-4.0Jan 2021View details →
zenodo40/100

IODP Expedition 366 Towed magnetometer

<p>Seafloor magnetometer data were measured using a Marine Magnetics 1000 m SeaSpy towed magnetometer. Raw log and data files are presented by expedition.</p>

opencc-zeroMar 2020View details →
zenodo40/100

AeroVmag: A new aero-towed vector magnetometer system, Geophysics, 2025

<p>This dataset contains:</p> <ol> <li> <p>Vector magnetic anomaly maps for the northern part of the Sea of Galilee<br>1.1 <strong>Mag_grids_xyz</strong>&nbsp;- grids in XYZ format (WGS 84)<br>1.2&nbsp;<strong>Mag_grids.nc</strong>&nbsp;- grids in netCDF4 format (WGS84 / UTM 36N)</p> </li> <li><strong>Aerovmag.py - </strong>source code for processing vectorial magnetic data collected by AeroVmag tow-bird system</li> <li> <p><strong>Theoretical_model.ipynb&nbsp;</strong>- source code for the theoretical accuracy estimation of the vectorial magnetic survey system.</p> </li> </ol>

opencc-by-4.0Mar 2024View details →
zenodo40/100

Cassini Magnetometer Data Products Associated With Ring-Saturn Electromagnetic Coupling

<p>This dataset shows the measurements made by the Cassini magnetometer as it traversed ring-connected magnetic field lines during the Cassini Grand Finale orbits. The L-shell mapping of the azimuthal magnetic field component and associated field-aligned currents are provided, and can be used to regenerate the Cassini magnetometer data products in Figure 2 of the manuscript "Current Events at Saturn: Ring-Planet Electromagnetic Coupling" (Agiwal et al., 2024).&nbsp;</p>

opencc-by-4.0Mar 2024View details →
zenodo40/100

Flight demonstration of a miniature atomic scalar magnetometer based on a microfabricated rubidium vapor cell

<p>Data acquired by the Miniature Absolute Scalar Magnetometer (MASM) on the low-flying sounding rocket of the Twin Rockets to Investigate Cusp Electrodynamics 2 (TRICE-2) mission.&nbsp;The data columns are as follows:</p> <p>epoch time: CDF Epoch Time</p> <p>time: year, month, day, hour, minute, second</p> <p>lfreq [Hz]: Larmor frequency in Hertz</p> <p>Bt [nT]: Measured total magnetic field in nano-Tesla</p> <p>Btm [nT]: Total magnetic field of&nbsp;the IGRF model in nano-Tesla</p> <p>Bxm [nT]: Magnetic field Bx-component of&nbsp;the IGRF model in ECEF coordinates and nano-Tesla</p> <p>Bym [nT]: Magnetic field By-component of&nbsp;the IGRF model in ECEF coordinates and nano-Tesla</p> <p>Bzm [nT]: Magnetic field Bz-component of&nbsp;the IGRF model in ECEF coordinates and nano-Tesla</p> <p>flight time: Flight time with respect to launch in seconds</p> <p>ecef x pos [m]: ECEF X coordinate in meters</p> <p>ecef y pos [m]: ECEF Y coordinate in meters</p> <p>ecef z pos [m]: ECEF Z coordinate in meters</p> <p>ecef x vel [m/s]: ECEF X velocity in meters per second</p> <p>ecef y vel [m/s]: ECEF Y velocity in meters per second</p> <p>ecef z vel [m/s]: ECEF Z velocity in meters per second</p> <p>lat [deg]: Geopgraphic&nbsp;latitude in degrees</p> <p>lon [deg]: Geographics longitude in degrees</p> <p>alt [km]: Altitude in kilometers</p> <p>vcsel temp: VCSEL temperature in engineering units</p> <p>gas cell temp: Rubidium vapor cell temperature in engineering units</p> <p>bx mag:&nbsp;Magnetic field Bx-component measured by the mission&#39;s science magnetometer&nbsp;in ECEF coordinates and nano-Tesla</p> <p>by mag: Magnetic field By-component measured by the mission&#39;s science magnetometer&nbsp;in ECEF coordinates and nano-Tesla</p> <p>bz mag: Magnetic field Bz-component measured by the mission&#39;s science magnetometer&nbsp;in ECEF coordinates and nano-Tesla</p> <p>bt mag: Total magnetic field measured by the mission&#39;s science magnetometer&nbsp;in ECEF coordinates and nano-Tesla</p> <p>btf mag: Filtered total magnetic field measured by the mission&#39;s science magnetometer&nbsp;in ECEF coordinates and nano-Tesla</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Alberta Differential Magnetometer Measurement (DMM) Data from 2021

<p>This data product consists of a magnetometer dataset from the augmented differential magnetometer measurement (DMM) study conducted in Alberta, Canada in 2021 and GIC data from a nearby transformer substation. This data was analyzed and presented in the paper "Using a Differential Magneoter Measurement to Infer Geomagnetically Induced Currents: An Augmented Approach." Specifically, these datasets were used to create Figures 3,&nbsp; 4, 5, 6, 7, 9 and 10 in this paper.</p> <p>The data files available here are from two magnetometers (USB4 and USB5) on a magnetically quiet day, September 26th, 2021, and a magnetically active day, October, 12th, 2021. USB4 data is from the underline sensor and USB5 is from the remote sensor. Each DMM data file includes the time in UT and magnetic field measurements in the x, y, and z components, where Bx is magnetic north and By is magnetic east. The GIC data file includes the local time (Mountain Daylight Time = GMT-6) and the transformer neutral-to-ground current at the Ellerslie substation (89S) in both transformers (T1 and T2) during the magnetic storm on October 12th, 2021. The magnetic data has a resolution of 1 Hz. The GIC data has a resolution of 0.5 Hz.&nbsp;</p>

opencc-by-4.0Feb 2024View details →
zenodo40/100

IMU, magnetometer, and motion capture data from a UAV used for indoor magnetic field mapping and localization

<p>IMU, magnetometer, and motion capture data from a UAV used for indoor magnetic field mapping and localization.&nbsp;</p> <p>This data is split up into two folders.&nbsp;</p> <p>&quot;stationary_magnetometer_data&quot; 0.1Hz samples of a RM3100 magnetometer that was kept in one position from July 2022 through February 2023. The data is partitioned into separate files for analytical convenience of our research. Each file here is a CSV with a timestamp (synchronized with chrony to a central computer) and the three components of the measured magnetic field. We did not calibrate this stationary magnetometer.</p> <p>&quot;UAV_and_mocap_data&quot; has many subfolders. Each subfolder is labeled by a date and a small description of the goals for that test segment. There is a single &quot;EXPLANATION&quot; file in each subfolder that gives more detail on the provided data. The data here includes the trajectory flown by the UAV, outdoor calibration data to adjust the raw magnetometer measurements, and IMU/motion capture data for each listed flight test. The EXPLANATION file should explain what trajectory was flown for each individual flight test.&nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

IODP Expedition 382 Towed magnetometer

<p>Seafloor magnetometer data were measured using a Marine Magnetics 1000 m SeaSpy towed magnetometer. Raw log and data files are presented by expedition.</p>

opencc-zeroMay 2021View details →
zenodo36/100

Data and data analysis codes for Palacios et al. "Single-domain Bose condensate magnetometer achieves energy resolution per bandwidth below ℏ"

<p>Data and data analysis codes for the article &quot;Single-domain Bose condensate magnetometer achieves energy resolution per bandwidth below ℏ&quot; by S. Palacios, et al.&nbsp; https://arxiv.org/abs/2108.11716</p>

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

Measurements of the solar wind propagation delay for L1 to Earth based on ACE and ground-based magnetometer data

<p>This database is the basis for the analysis described in the manuscript</p> <p>&#39;Timing of the solar wind propagation delay between L1 and Earth based on machine learning&#39;</p> <p>published in Journal of Space Weather and Space Climate.</p> <p>&nbsp;</p> <p><a href="https://doi.org/10.1051/swsc/2021026">https://doi.org/10.1051/swsc/2021026</a></p> <p>&nbsp;</p> <p>The database contains the times of 380 interplanetary shocks detected at ACE (T_ACE) which also caused a sudden impulse (T_SI) in the magnetosphere based on ground-based magnetometer data. This information can be found in &#39;measurement_SW_propagation.txt&#39;.</p> <p>final_learningset_SWdelay.pickle contains the corresponding ACE data (solar wind speed, ACE position) at time T_ACE for each of the 380 cases.</p> <p>The datafile can be loaded with Python as follows:</p> <p>import pickle<br> with open(&#39;final_learningset_SWdelay.pickle&#39;, &#39;rb&#39;) as f:<br> &nbsp;&nbsp;&nbsp; [learnvector_o,learnvector_m,learnvector_s,learnvector,timevector]=pickle.load(f)</p> <p>&nbsp;</p> <p>The content is described as follows:</p> <p>learnvector_o - contains a list of ACE data in its original form, ordering [&#39;rx&#39;,&#39;ry&#39;,&#39;rz&#39;,&#39;vx&#39;,&#39;vy&#39;,&#39;vz&#39;]</p> <p>learnvector_m - median of each feature</p> <p>learnvector_s - standard deviation of each feature</p> <p>learnvector - contains an array of the standardized data, which have been used to train the ML models.</p> <p>timevector - contains an array with the vector delay in seconds(first column), flat delay in seconds (second column), and measured solar wind propagation delay in seconds (third column)</p>

opencc-by-4.0Dec 2020View details →
zenodo32/100

Magnetometer (Delta-H) data of Tirunelveli and Alibag for selected IP shock events during 2001-2021

Open the record for dataset details and reuse information.

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

Reanalysis of Galileo Magnetometer Data at Callisto

<p>This dataset contains the Matlab .mat structure files and associated .m script to produce the data illustrated in the manuscript titled, "Stronger Evidence for a Subsurface Ocean within Callisto from a Multifrequency Investigation of its Induced Magnetic Field", submitted to AGU Advances in February 2024.</p>

openAug 2024View details →
zenodo32/100

Data from: Atomic-vapor magnetometer in a laser-written micro-channel

Open the record for dataset details and reuse information.

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

Magnetometer and Ionospheric Observations from Indian Sector During 10-11 May 2024 Storm

<p>This data repository includes magnetometer observations from 12 ground stations in the Indian sector. The repository also consist of <span>VLF receiver and Ionosonde data operated by Indian Institute of Geomagnetism.&nbsp;</span></p>

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

Calibration of Off-the-shelf Anisotropic Magnetoresistance Magnetometers Dataset

<p>Measurement data of several digital AMR-magnetometers&nbsp;taken in &#39;Magnetsrode&#39; Magnetic Laboratory (Braunschweig, Germany) in form of .txt files. MATLAB Code for analysis of that Data. Measurement Log for additional measurement information. Empty folders should remain as they are for MATLAB folder structure when using the provided code.</p>

opencc-by-sa-4.0Mar 2019View details →
zenodo32/100

ETS-VIII_Magnetometer_Data_12-13May_2013

<p>The data set contains daily files of 0.5-sec magnetic field vectors measured by the geostationary ETS-VIII satellite on 12-13 May 2013.&nbsp; A short description of the data is given in readme.txt.</p>

opencc-by-4.0Sep 2019View details →
zenodo32/100

The Ionospheric Leg of the Substorm Current Wedge: Combining Iridium and Ground Magnetometers (Dataset)

<p>We provide the horizontal current caculated for 18 substorms presented in the accompanying from epoch -10 to epoch 30. We also provide the amplitudes of the DF and CF spherical elementary current systems that the field-aligned and equivalent field-aligned currents, respectively, can be caculated with ease using the grid area provided in the files. This a new version as the equivalent currents were incorrect in the previous version.</p>

opencc-by-4.0Dec 2023View details →

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Allen Brain Atlas

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allen-brain-atlas
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Annotated Behaviour and Observability Dataset (ABODe)

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abode-home-cage
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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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
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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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record