AndreaBozzo/ceres-open-data-index huggingface dataset:
MMS 2 Fast Plasma Investigation, Dual Ion Spectrometer (FPI, DIS) Partial Distribution Moments, Level 2 (L2), Burst Mode, 0.15 s Data

FPI usually operates in Fast Survey (FS) Mode in the MMS Region Of Interest (ROI) for the current Mission Phase. Data are taken at Burst (30/150 ms for DES/DIS) Resolution in this Mode. Data are also made available at Survey (4.5 s, etc.) Resolution. Per Mission Design, not all Burst Resolution Data are downlinked, but all Survey Data are downlinked. Planning around Calibration Activities, avoidance of Earth Radiation Belts, etc., when possible, FPI usually operates in Slow Survey (SS) Mode (60 s Resolution) outside of ROI, and then only the 60 s Resolution Survey Data are available. This Product contains Partial Moments that come from performing the Standard Moment Integrals over a limited Portion of Velocity Space. The resulting Quantities are named similarly to their corresponding Standard Moments, but are decorated with 'part' to differentiate. For example, density_part is the Density Moment integrated from a particular Energy Step to Infinity. These Partial Moments are formed from the indicated Data Type (DES/DIS Burst, FS or SS). For convenience, some additional Parameters are included to augment those most commonly found in a Moments Product of this sort, plus Time Stamps and other Annotation characterizing the State of the Instrument System at the indicated Time.

Tags: electricfield, instrumentstatus, magneticfield, thermalplasma
Organization: National Aeronautics and Space Administration
CASSINI RSS RAW DATA SET - SAGR18 V1.0

The Cassini Radio Science Saturn Gravity and Ring Occultation experiments (SAGR18) Raw Data Archive is a time-ordered collection of radio science raw data acquired on May 8, 15, 21, June 9, and 22, 2017, during the Cassini Extended Extended Mission.

Tags: __
Organization: National Aeronautics and Space Administration
AirMSPI version 5 terrain-projected georegistered radiance product acquired during the NASA PODEX flight campaign Jan-Feb 2013

AirMSPI_PODEX_Terrain-projected_Georegistered_Radiance_Data are AirMSPI terrain-projected georegistered radiance product acquired during the NASA Polarimeter Definition Experiment (PODEX) flight campaign. AirMSPI Level 1B2 products contain radiometric and polarimetric images of clouds, aerosols, and the surface of the Earth. In particular, products contain map-projected data at 8 wavelengths: 355, 380, 445, 470, 555, 660, 865, and 935 nm. The data products include radiance, time, solar zenith, solar azimuth, view zenith, and view azimuth for all spectral bands. Wavelengths for which polarization information is available (470, 660, and 865 nm) also include the Stokes parameters Q and U, as well as degree of linear polarization (DOLP) and angle of linear polarization (AOLP). Q, U, and AOLP are reported relative to both the scattering and view meridian planes. Files are distributed in HDF-EOS-5 format. This release of AirMSPI data contains all targets acquired during the Polarimeter Definition Experiment (PODEX) flight campaign. PODEX was based out of NASA’s Armstrong (formerly Dryden) Flight Research Center in Palmdale, CA, and focused on clouds and aerosols in and around California. AirMSPI data were acquired from January 14 through February 6, 2013.

Tags: earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-radiance, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
BigFoot GPP Surfaces for North and South American Sites, 2000-2004

The BigFoot project gathered Gross Primary Production (GPP) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. At this time we are archiving Northern Old Black Spruce (NOBS - BOREAS NSA, Canada) and Harvard Forest LTER (HARV - Massachusetts, USA) data collected in 2001.The GPP surfaces were produced by a spatial version of an ecosystem process model named, Biome-BGC. Inputs to the model included Landsat ETM+ derived Land Cover and LAI, tower derived meteorological variables, and a set of site level ecophysical parameters. The model was calibrated using field measured NPP and validated by tower derived estimates of GPP. For an in depth discussion of methods used to produce these surfaces, please see Turner et al. (2003).Each BigFoot GPP product covers a 7 x 7 km extent and consists of the GPP surface in BIP format (280 rows by 280 columns by 365 bands at 25 meter resolution) and an accompanying text file which provides metadata specific to the image (such as projection, data type, etc). Additional information on GPP surface development can be found on the BigFoot website at http://www.fsl.orst.edu/larse/bigfoot/ovr_mthd.html.BigFoot Project Background: Reflectance data from MODIS, the Moderate Resolution Imaging Spectrometer onboard NASA's Earth Observing System (EOS) satellite Terra (http://landval.gsfc.nasa.gov/MODIS/index.php), is used to produce several science products including land cover, leaf area index (LAI), gross primary production (GPP) and net primary production (NPP). The overall goal of the BigFoot Project was to provide validation of these products. To do this, BigFoot combined ground measurements, additional high resolution remote sensing data, and ecosystem process models at nine flux tower sites representing different biomes to evaluate the effects of the spatial and temporal patterns of ecosystem characteristics on MODIS products. BigFoot characterized up to a 7 x 7 km area (49 MODIS pixels) surrounding the CO2 flux towers located at each of the nine sites. We collected multi-year, in situ measurements of ecosystem structure and functional characteristics related to the terrestrial carbon cycle. Our sampling design allowed us to examine scales and spatial pattern of these properties, the inter-annual variability and validity of MODIS products, and provided for a field-based ecological characterization of the flux tower footprint. BigFoot was funded by NASA's Terrestrial Ecology Program.For more details on the BigFoot Project, please visit the website: http://www.fsl.orst.edu/larse/bigfoot/index.html.

Tags: earth-science-ecological-dynamics-biosphere-ecosystem-functions-primary-production
Organization: National Aeronautics and Space Administration
MMS 2 Electric Double Probe (EDP) Axial Double Probe, Spin Plane Double Probe (ADP-SDP) Electric Double Probe, High-Frequency Electric Field Spectra, Level 2 (L2), Survey Mode, 16 s Data

Electric Double Probe, High-Frequency AC Electric Field Spectra, Level 2, Survey Data, Level 1B AC Electric Field Data

Tags: electricfield, waves-passive
Organization: National Aeronautics and Space Administration
AIRS/Aqua L1B AMSU (A1/A2) geolocated and calibrated brightness temperatures V005 (AIRABRAD) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AMSU-A instrument is co-aligned with AIRS so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. AMSU-A is primarily a temperature sounder that provides atmospheric information in the presence of clouds, which can be used to correct the AIRS infrared measurements for the effects of clouds. This is possible because non-precipitating clouds are for the most part transparent to microwave radiation, in contrast to visible and infrared radiation which are strongly scattered and absorbed by clouds. AMSU-A1 has 13 channels from 50 - 90 GHz and AMSU-A2 has 2 channels from 23 - 32 GHz. The AIRABRAD_005 products are stored in files (often referred to as "granules") that contain 6 minutes of data, 30 footprints across track by 45 lines along track.

Tags: earth-science-microwave-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
DAWN GRAND MAP CERES TPE  NEUTRON COUNTS V1.0

A global map thermal+epithermal  neutron counting rates binned on twenty-degree quasi-equal-area  pixels is provided. The map was determined from a time series  of the rate of neutron capture by lithium in the lithium-loaded  glass scintillator, part of the +Z phoswich sensor on Dawn's Gamma  Ray and Neutron Detector (GRaND). Neutrons in the thermal and  epithermal energy range contribute to the reaction. The data were  acquired while in low altitude mapping orbit, about 385 km from  Ceres' surface (about 0.8 body radii altitude). Prior to mapping,  the time series counting data were subjected to corrections for  variations in the flux of galactic cosmic rays and measurement  geometry, as described by PRETTYMANETAL2017.

Tags: __
Organization: National Aeronautics and Space Administration
MMS 2 Hot Plasma Composition Analyzer (HPCA) Ions, Level 2 (L2), Burst Mode, 0.625 s Data

Hot Plasma Composition Analyzer (HPCA) Ions, Level 2, Burst Survey, 0.625 s Data. The MMS HPCA instruments measure the energy and composition of magnetospheric plasmas in the energy range from 1 eV to 40 keV. An electrostatic energy analyzer (ESA) that is optically coupled to a carbon-foil based Time-of-Flight (TOF) section comprises each HPCA. The basic HPCA data product is an array of counts for 5 ion species, at 63 energies, for each of 16 elevation anodes. Sixteen basic products, also called azimuths, are acquired every 0.625 s; half a spacecraft spin period nominally has 16 azimuths. The five ion species are protons (H+), alpha particles (He++), helium ions (He+), singly charged Oxygen (O+), and background counts.

Tags: energeticparticles, magneticfield
Organization: National Aeronautics and Space Administration
Polar Cap (PC), Northern and Southern Hemisphere Activity Indices, 5 min Data

The PC Index is an Empirical Magnetic Activity Index based on Data from Single Near-Pole Station, Thule for the Northern Hemisphere and Vostok for the Southern Hemisphere, respectively). Its Derivation Procedure is optimized to achieve the Best Correlation of PC Index with the Solar Wind Electric Field, SWEF, Magnitude quantified by v*B*sin((theta/2)^2). The Average Horizontal Magnetic Disturbance Vector, Quiet Value subtracted, is projected onto the Optimal Direction, which is defined empirically for each UT Hour and each Season based on the Best COrrelation with the SWEF. After Normalization to the Equivalent Value of the SWEF, the PC Index is expressed in Units of mV/m. Although the PC Index is formally expressed in mV/m, it actually represents the Measure of Magnetic Activity, the Normalization Procedure to SWEF helps to reduce Seasonal and Diurnal Effects to facilitate the Intercomparison. The Time Resolution of the Northern Cap PC Index is 5 min while it is 15 min form the Southern PC Index. However, one Time SCale with a 5 min Step is used for both Indices and each 15 min averaged Value of southern index is, hence, repeated three Times. References: 1. Troshichev, O.A., et al., Planet. Space Sci., 36, 1095, 1988, 2. Vennerstrom, S., et al., Report UAG-103, World Data Center A for STP, Boulder, April 1994.

Tags: activityindex
Organization: National Aeronautics and Space Administration
ULY JUP URAP RADIO ASTRONOMY REC PEAK E-FIELD 10 MIN

A. UDS data files --------------------                                      Eight files are provided that conform                                      to the UDS conventions regarding the                                      naming of files and the format of the                                      data. The eight files are divided                                      into 4 pairs of files with each pair                                      consisting of a file containing data                                      averaged over a 10 minute period and                                      a file containing the maximum data                                      value during the same 10 minute                                      period. The 4 pairs of file contain                                      data for the RAR, the PFR, WFA -                                      magnetic field, and WFA -                                      magnetic field.

Tags: __
Organization: National Aeronautics and Space Administration
AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC

This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m) End of parameter information

Tags: earth-science-clouds-atmosphere
Organization: National Aeronautics and Space Administration
IMP 8 MIT Full Resolution Definitive Interplanetary Plasma Data

The MIT Faraday cup experiment on IMP 8 measures currents from solar wind ions, and from these measurements we calculate the velocity, density, and temperature of the solar wind. The IMP 8 data files consist of fine resolution data (approximately 1 minute resolution). IMP 8 spins with a period of approximately 2.7s. The Faraday Cup (FC) instrument scans the solar wind distribution stepping through a contiguous set of energy windows, one step per spacecraft spin. The FC instrument divides the spin into thirty-two, 11.25 degree angular sectors and integrates the measured currents over different angular sectors depending upon the Mode in which the instrument is operating. The border between two of the 11.25 degree angular sectors lies on the Sun-spacecraft line. The FC sensor collector plate is divided into two, semi-circular halves; the division line is parallel to the spacecraft spin plane which is approximately parallel to the ecliptic plane. The split collector allow determination of the bulk plasma flow relative to the spin plane; North/South angles refer to flows coming from above or below the spin plane respectively (flows from the South are designated as having a positive N/S angle). The bulk flow angle in the spin plane is determined from the measurements of current vs. rotation angle. The currents telemetered to the ground are the sums of currents for the two half-collectors ("A" and "B") and, for the TMS and AQM modes, also the current for the half-collector "B". Electrons are measured except for the eight angles near the Sun. The experiment has two memories only one of which is operating perfectly. As a result, only every other TMS spectrum is usable, and the time between spectra is usually twice that that would be expected from the spacecraft spin rate. The bad half-memory also limits the energy windows that can be used in the other modes, since they require both memories to hold the data. On occasion, the data are read out rapidly enough by the spacecraft to allow repeated use of the good half-memory, and the time resolution in the TMS is approximately 32 seconds.

Tags: thermalplasma
Organization: National Aeronautics and Space Administration
MMS 2 Digital Signal Processor (DSP) Double Probe (ADP, SDP), Electric Field Power Spectral Density, Level 2 (L2), Slow Mode, 16 s Data

The MMS electric field power spectral density (EPSD) 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 Axial Double Probe (ADP) and Spin-Plane Double Probe (SDP). 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 56 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.

Tags: electricfield, waves-passive
Organization: National Aeronautics and Space Administration
ISEE 3 Elemental Abundance Ratios

This ASCII file contains values and their uncertainties \nfor 25 abundance ratios of various pairs of chemical elements.  The ratios \nare based on 1978-1981 observations of ~50-500 MeV/n cosmic rays by the \nU. Chicago cosmic ray experiment on ISEE 3.  Each of the ratios is linked \nin the ASCII file to the publication where its derivation is discussed.

Tags: energeticparticles, ioncomposition
Organization: National Aeronautics and Space Administration
Biodiversity Survey of the Cape - Mapping Dissolved Organic Carbon sources and cycling in aquatic biodiversity hotspots across South Africa's Greater Cape Floristic Region

This dataset includes the spectral (absorption and fluorescence) characteristics of colored dissolved organic matter (CDOM) coincident with field measurements of hyperspectral water remote sensing reflectance for improved remote sensing algorithm development. Samples were collected within three ecologically distinct but socio-economically vital bays surrounding South Africa's Greater Cape Floristic Region: St Helena Bay, Walker Bay, and Algoa Bay. Data from this and other elements of the BioSCape project can be found via the earthdata portal https://search.earthdata.nasa.gov/search?q=bioscape&fpj=BioSCape.

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans, earth-science-ocean-temperature-oceans, earth-science-salinity-density-oceans
Organization: National Aeronautics and Space Administration
Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS

The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor, and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from December 16, 2019, through March 2, 2023, in netCDF-4 format.

Tags: earth-science-microwave-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
MMS 2 Search Coil Magnetometer (SCM) AC Magnetic Field Level 2 (L2), Burst Mode, 8192 Sample/s Data

Search Coil Magnetometer (SCM) AC Magnetic Field (8192 samples/s), Level 2, Burst Mode Data. The tri-axial Search-Coil Magnetometer with its associated preamplifier measures three-dimensional magnetic field fluctuations. The analog magnetic waveforms measured by the SCM are digitized and processed inside the Digital Signal Processor (DSP), collected and stored by the Central Instrument Data Processor (CIDP) via the Fields Central Electronics Box (CEB). Prior to launch, all SCM Flight models were calibrated by LPP team members at the National Magnetic Observatory, Chambon-la-Foret (Orleans). Once per orbit, each SCM transfer function is checked thanks to the onboard calibration signal provided by the DSP. The SCM is operated for the entire MMS orbit in survey mode. Within scientific Regions Of Interest (ROI), burst mode data are also acquired as well as high speed burst mode data. This SCM data set corresponds to the AC magnetic field waveforms in nanoTesla and in the GSE frame. The SCM instrument paper for SCM can be found at http://link.springer.com/article/10.1007/s11214-014-0096-9 and the SCM data product guide at https://lasp.colorado.edu/mms/sdc/public/datasets/fields/.

Tags: magneticfield, waves-passive
Organization: National Aeronautics and Space Administration