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ShareScore release 0.9.0
Dataset results
1,891 results for “Field data”
MMS 3 Electric Double Probe (EDP) Axial Double Probe, Spin Plane Double Probe (ADP-SDP) Three-Dimensional HMFE Electric Field, Level 2 (L2), Burst Mode, 0.01525878906 ms Data
Electric Double Probe, Three-Dimensional HMFE Electric Field, Level 2, Burst Mode, Level 1B AC Electric Field Data
Bjornoya (BJN) Ground-based Vector Magnetic Field (L2) 1.0 min Data
Bjornoya, Norway, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (BJN), Station Location: (GEO Latitude 74.5, Longitude 19.0), TGO Network
Bettles (BETT) Ground-based Vector Magnetic Field (L2) 1.0 s Data
Bettles, AK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (BETT), Station Location: (GEO Latitude 66.9, Longitude 208.5), University of Alaska Network
Paamiut (FHB) Ground-based Vector Magnetic Field (L2) 1.0 min Data
Paamiut (Frederikshap), Greenland, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (FHB), Station Location: (GEO Latitude 62.0, Longitude 310.3), DTU Network
Attu (ATU) Ground-based Vector Magnetic Field (L2) 20.0 s Data
Attu, Greenland, Ground-based Vector Magnetic Field Level 2 Data, 20.0 s Time Resolution, Station Code: (ATU), Station Location: (GEO Latitude 67.9, Longitude 306.4), DTU Network
Ranua (RAN) Ground-based Vector Magnetic Field (L2) 10.0 s Data
Ranua, Finland, Ground-based Vector Magnetic Field Level 2 Data, 10.0 s Time Resolution, Station Code: (RAN), Station Location: (GEO Latitude 65.9, Longitude 26.4), IMAGE Network
Eagle (EAGL) Ground-based Vector Magnetic Field (L2) 0.5 s Data
Eagle, AK, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (EAGL), Station Location: (GEO Latitude 64.8, Longitude 218.8), University of Alaska Network
Pangnirtung (PANG/PGG) Ground-based Vector Magnetic Field (L2) 0.5 s Data
Pangnirtung, NU, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (PANG/PGG), Station Location: (GEO Latitude 66.1, Longitude 294.2), MACCS Network
College (CMO) Ground-based Vector Magnetic Field (L2) 1.0 s Data
College (Fairbanks), AK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (CMO), Station Location: (GEO Latitude 64.9, Longitude 212.1), USGS Network
Hov Faroe Islands (HOV) Ground-based Vector Magnetic Field (L2) 1.0 min Data
Hov Faroe Islands, Denmark, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (HOV), Station Location: (GEO Latitude 61.2, Longitude 314.6), Norwegian Mag. Network
Dededo (GUA) Ground-based Vector Magnetic Field (L2) 1.0 s Data
Dededo, GU, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (GUA), Station Location: (GEO Latitude 13.6, Longitude 144.9), USGS Network
Jan Mayen (JAN) Ground-based Vector Magnetic Field (L2) 1.0 min Data
Jan Mayen, Norway, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (JAN), Station Location: (GEO Latitude 71.0, Longitude 351.5), Norwegian Mag. Network
Qeqertarsuaq (GDH) Ground-based Vector Magnetic Field (L2) 1.0 min Data
Qeqertarsuaq, Greenland, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (GDH), Station Location: (GEO Latitude 69.3, Longitude 306.5), DTU Network
Voyager 2 hourly merged magnetic field and plasma data
This is an hourly resolution, merged magnetic field and plasma data set created at NSSDC for COHOWeb. Magnetic field vectors and plasma flow direction angles are given in RTN coordinates. Spacecraft position data are given in Heliographic inertial (HGI coordinates).
MMS 4 Digital Signal Processor (DSP) Search Coil Magnetometer (SCM), Magnetic Field Power Spectral Density, Level 2 (L2), Slow Mode, 16 s Data
The MMS magnetic field power spectral density (BPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of analog signals from the Search Coil Magnetometer (SCM) in the SCM123 coordinate system (scm1 = - x sensor; scm2 = -z sensor; scm3 = -y sensor). This data product is computed in space from individual components that are not synchronized to the 1 second pulse. Therefore, the timing between channels can be inaccurate by a fraction of a second. The samples times are interval start times taken from the x component. The spectra are calculated via a 1024-point FFT algorithm on piecewise continuous sets of waveform data. Nine signals can be processed simultaneously. Six of the twelve DC-coupled E, DC-coupled V, or SCM signals (16384 samples/s) are selected for spectral processing at 100% duty cycle. In addition, the three AC-coupled signals (262,144 kS/s) each can be processed at 6.25% duty cycle. Each of the nine signals has 16, 1024-point FFT operations every second; the field-programmable gate array (FPGA) performs 144 FFTs per second. The FFT is performed by an arithmetic logic unit (ALU), which is controlled by a state machine. Both are hard-coded into the FPGA. The operation starts by applying a 1024-point Hanning window onto a waveform. Next, an FFT is implemented. The FFT is broken into a series of "butterfly" operations performed by the ALU. The result has real and imaginary data. Power spectra are calculated by taking the sum of squares of real and imaginary values (the ALU includes a multiplier), which produces a power spectrum with 512 frequency bins. The frequency bins are then combined to give pseudo-logarithmic frequency spacing (del f)/f. The spectra are reduced to 88 frequency bins with (del f)/f between 6% and 12% when possible. Narrow-band emissions can be fit to an accuracy of (del f)/f ~3%, allowing for an accurate determination of plasma density. The spectra can be averaged in time. The fastest reporting rate of any signal is 16 spectra per second. Reporting rates can be as slow a one spectra every 16 s (averaging 256 spectra). The averaging process has 48-bit accuracy to maximize the dynamic range. The amplitudes undergo a pseudo-logarithmic compression to an 8-bit number representing over 120 dB of dynamic range at ~5% precision.
Tasiilaq (AMK) Ground-based Vector Magnetic Field (L2) 1.0 min Data
Tasiilaq, Greenland, Ground-based Vector Magnetic Field Level 2 Data, 1.0 min Time Resolution, Station Code: (AMK), Station Location: (GEO Latitude 65.6, Longitude 322.4), DTU Network
Shumagin (SHU) Ground-based Vector Magnetic Field (L2) 1.0 s Data
Shumagin (Sand Point), AK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (SHU), Station Location: (GEO Latitude 55.4, Longitude 199.5), USGS Network
MMS 1 Digital Signal Processor (DSP) Search Coil Magnetometer (SCM), Magnetic Field Power Spectral Density, Level 2 (L2), Slow Mode, 16 s Data
The MMS magnetic field power spectral density (BPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of analog signals from the Search Coil Magnetometer (SCM) in the SCM123 coordinate system (scm1 = - x sensor; scm2 = -z sensor; scm3 = -y sensor). This data product is computed in space from individual components that are not synchronized to the 1 second pulse. Therefore, the timing between channels can be inaccurate by a fraction of a second. The samples times are interval start times taken from the x component. The spectra are calculated via a 1024-point FFT algorithm on piecewise continuous sets of waveform data. Nine signals can be processed simultaneously. Six of the twelve DC-coupled E, DC-coupled V, or SCM signals (16384 samples/s) are selected for spectral processing at 100% duty cycle. In addition, the three AC-coupled signals (262,144 kS/s) each can be processed at 6.25% duty cycle. Each of the nine signals has 16, 1024-point FFT operations every second; the field-programmable gate array (FPGA) performs 144 FFTs per second. The FFT is performed by an arithmetic logic unit (ALU), which is controlled by a state machine. Both are hard-coded into the FPGA. The operation starts by applying a 1024-point Hanning window onto a waveform. Next, an FFT is implemented. The FFT is broken into a series of "butterfly" operations performed by the ALU. The result has real and imaginary data. Power spectra are calculated by taking the sum of squares of real and imaginary values (the ALU includes a multiplier), which produces a power spectrum with 512 frequency bins. The frequency bins are then combined to give pseudo-logarithmic frequency spacing (del f)/f. The spectra are reduced to 88 frequency bins with (del f)/f between 6% and 12% when possible. Narrow-band emissions can be fit to an accuracy of (del f)/f ~3%, allowing for an accurate determination of plasma density. The spectra can be averaged in time. The fastest reporting rate of any signal is 16 spectra per second. Reporting rates can be as slow a one spectra every 16 s (averaging 256 spectra). The averaging process has 48-bit accuracy to maximize the dynamic range. The amplitudes undergo a pseudo-logarithmic compression to an 8-bit number representing over 120 dB of dynamic range at ~5% precision.
La Ronge (LRG) Ground-based Vector Magnetic Field (L2) 1.0 s Data
La Ronge, SK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (LRG), Station Location: (GEO Latitude 55.2, Longitude 52.5), STEP Polar Network
PENGUIn-0 (PG0) Ground-based Vector Magnetic Field (L2) 1.0 s Data
PENGUIn-0, Antarctica, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (PG0), Station Location: (GEO Latitude -83.7, Longitude 88.7), Antarctic Network
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.
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.