cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48322/kyn5-0772
title: ARTEMIS P1 field-plasma merged data, near moon
title: THEMIS-B field-plasma merged data, near moon

description: This data set contains 96s and 384s resolution magnetic field and plasma ion data from the THEMIS-B ESA and FGM instruments during the near moon (ARTEMIS) phase of the spacecraft life (>~September 1, 2010). The data are at each resolution for several mutually exclusive, contiguous hours during most days. The field-plasma-merged data set was created at GSFC/Space Physics Data Facility (SPDF) as part of the LunaSOX effort, from CDAWeb data sets THB_L2_ESA (good quality, high angular resolution mode only) and THB_L2_FGM. Geocentric spacecraft and moon orbit data from SSCWeb were used to add geocentric and selenocentric spacecraft position data to the merged data set records.
DOI: 10.48322/7g3t-f085
title: THEMIS-B: ESA electron/ion energy fluxes and moments

description: THEMIS-B: Electrostatic Analyzers (ESA): Electron/Ion Ground-Calculated Energy Fluxes (5eV - 25 keV for Ions and 6eV - 30 KeV for Electrons) and Moments (density, velocity, pressure, and temperature). The satellite has 2 modes Fast and Slow survey and 3 data types: FULL, REDUCED and BURST. FULL: 88 angles x 32 energies, time resolution of 128 spins(395 seconds) in slow survey and 32 spins(98 seconds) in fast survey. REDUCED: spin time resolution(3 sec) but angles averaged into 1 angular spectra x 32 energies in slow survey or 6 angular spectra(90 degree x 90 degree window) x 32 energies in fast survey. BURST: 88 angles x 32 energies and spin time resolution(3 sec) but only available sporadically and for short duration. Note that angular resolution affects moments since they are obtained integrating over the mode-specific angular distribution. These moments are processed on the ground. They should be regarded as approximations but will improve in quality as our processing routines are improved over the course of the mission to account for additional sources of variance.
DOI: 10.48322/zbwc-cf09
title: THEMIS-B: Probe Electric Field Instrument and Search Coil Magnetometer Instrument, Digital Fields Board - digitally computed Filter Bank spectra and E12 peak and average in HF band (FBK).

description: The Filter Bank is part of the Digital fields board and provides band-pass filtering for EFI and SCM spectra as well as E12HF peak and average value calculations. The Filter Bank provides band-pass filtering for less computationally and power intensive spectra than the FFT would provide. The process is as follows: Signals are fed to the Filter Bank via a low-pass FIR filter with a cut-off frequency half that of the original signal maximum. The output is passed to the band-pass filters, is differenced from the original signal, then absolute value of the data is taken and averaged. The output from the low-pass filter is also sent to a second FIR filter with 2:1 decimation. This output is then fed back through the system. The process runs through 12 cascades for input at 8,192 samples/s and 13 for input at 16,384 samples/sec (EAC input only), reducing the signal and computing power by a factor 2 at each cascade. At each cascade a set of data is produced at a sampling frequency of 2^n from 2 Hz to the initial sampling frequency (frequency characteristics for each step are shown below in Table 1). The average from the Filter Bank is compressed to 8 bits with a pseudo-logarithmic encoder. The data is stored in sets of six frequency bins at 2.689 kHz, 572 Hz, 144.2 Hz, 36.2 Hz, 9.05 Hz, and 2.26 Hz. The average of the coupled E12HF signal and it's peak value are recorded over 62.5 ms windows (i.e. a 16 Hz sampling rate). Accumulation of values from signal 31.25 ms windows is performed externally. The analog signals fed into the FBK are E12DC and SCM1. Sensor and electronics design provided by UCB (J. W. Bonnell, F. S. Mozer), Digital Fields Board provided by LASP (R. Ergun), Search coil data provided by CETP (A. Roux). Table 1: Frequency Properties. Cascade   Frequency content of Input Signal   Low-pass Filter Cutoff Frequency   Freuency Content of Low-pass Output Signal   Filter Bank Frequency Band 0* 0 - 8 kHz 4 kHz 0 - 4 kHz 4 - 8 kHz 1 0 - 4 kHz 2 kHz 0 - 2 kHz 2 - 4 kHz 2 0 - 2 kHz 1 kHz 0 - 1 kHz 1 - 2 kHz 3 0 - 1 kHz 512 Hz 0 - 512 Hz 512 Hz - 1 kHz 4 0 - 512 Hz 256 Hz 0 - 256 Hz 256 - 512 Hz 5 0 - 256 Hz 128 Hz 0 - 128 Hz 128 - 256 Hz 6 0 - 128 Hz 64 Hz 0 - 64 Hz 64 - 128 Hz 7 0 - 64 Hz 32 Hz 0 - 32 Hz 32 - 64 Hz 8 0 - 32 Hz 16 Hz 0 - 16 Hz 16 - 32 Hz 9 0 - 16 Hz 8 Hz 0 - 8 Hz 8 - 16 Hz 10 0 - 8 Hz 4 Hz 0 - 4 Hz 4 - 8 Hz 11 0 - 4 Hz 2 Hz 0 - 2 Hz 2 - 4 Hz 12 0 - 2 Hz 1 Hz 0 - 1 Hz 1 - 2 Hz *Only available for 16,384 Hz sampling.
DOI: 10.48322/6mg1-y797
title: THEMIS-B: On Board Fast Fourier Transform (FFT) power spectra of Electric (EFI) and Magnetic (SCM) field measurements, for particle and wave burst survey modes.

description: On Board Fast Fourier Transform (FFT) power spectra of Electric (EFI) and Magnetic (SCM) field measurements for particle and wave burst survey modes. Spectra are produced only in Particle Burst and Wave Burst modes; only a preselected four of the signals listed in Table 1 are input at any time. Data fed through the FFT while not in Particle or Wave Burst modes is automatically disgarded. The FFTs (Cooley-Tukey algorithm) are conducted as an integral part of the power spectrum calculation by the Field Programable Gate Arrays (FPGAs). A CORDIC algorithm is used for sine/cosine calculations. The data has raw resolution of 1024 pts for 8,192 sample/sec signals and 2048 pts for 16,384 sample/sec signals (EAC measurements only). Signals at 8,192 samples/sec are handled by 1024-point FFTs, while those at 16,384 samples/sec go through 2048-point FFTs. Past and current signal configurations for specific spacecraft are listed bellow in Table 2. The spectra are arranged into log spaced frequency bins in steps of 16, 32, or 64. Cadence is adjusted to keep packet size constant (i.e. increasing the fequency resolution by a factor of 2 decreases the sampling rate by 1/2). The frequency bins cover a range of 0 Hz to 4 kHz. Table 1: FFT Input Signals. Signal Description SCMX, SCMY, SCMZ: Three axis magnetic fiend from SCM V1 through V6: Probe-spacecraft voltage for all six EFI sensors E12DC, E34DC, E56DC: DC-coupled electric field measured from opposing EFI sensors E12AC, E34AV, E56AC: AC-coupled electric field measured from opposing EFI sensors E12HF: High frequency electric field from EFI Table 2: Spacecraft specific configurations. All probes were initially set to use EDC34, EDC56, SCM2, and SCM3 signals for both particle and wave burst modes. Output was set to 16 frequency bins at 4 Hz. Configuration Changes: 30 June - 3 July 2008: Particle burst spectra on all probes reconfigured to 64 bins at 1 Hz. Table 3: Instrument-Spacecraft Physical Configuration Instrument Alignment in Spacecraft Geometric coordinates (SPG). See THEMIS website for coordinate system details and mechanical drawings. EFI boom 1: Along positive X-axis EFI boom 2: Along negative X-axis EFI boom 3: Along positive Y-axis EFI boom 4: Along negative Y-axis EFI boom 5: Along positive Z-axis EFI boom 6: Along negative Z-axis SCM: *The SCM uses an instrument specific set of axes; an orthogonal system centered instrument with the X-axis 12.1 degrees from the SPG X-axis.
DOI: 10.48322/my2g-dj63
title: THEMIS-B: On Board spin fits (FIT) of Electric (EFI) and Magnetic (FGM) field. On-Board Spin-fit electric and magnetic field data

description: THEMIS-B: On Board spin fits of Electric (EFI) and Magnetic (FGM) fields. This file contains data EFI and FGM that has been despun on-board to 3 second resolution. It stores meta information like the number of points that contributed to each spin and the standard deviation of those points. For the EFI data it also stores variables with the Z component of the EFI data zeroed and the Z component of the EFI estimated using the E.B=0 equality. The need to use an estimated Z axis for the EFI is due to error in measurements from the EFI axial booms. These data are provided in DSL (despun spacecraft L-Z vector), GSM, and GSE coordinates.
DOI: 10.48322/q8kq-gj70
title: THEMIS-B (P1/ARTEMIS-P1) Electron and Ion Moments (GMOM) Ground-Calculated Particle Energy Fluxes and Moments: Density, Velocity, Pressure and Temperature

description: THEMIS-B Electrostatic Analyzer (ESA) and Solid State Telescope (SST) Ground-Calculated Particle Energy Fluxes and Moments: Density, Velocity, Pressure, and Temperature. Generated from ESA and SST Combined Distributions. Data include Electron/Ion Ground-Calculated Fluxes and Spectrograms for Ions from 5 eV to 4 MeV and Electrons from 6 eV to 700 keV.
DOI: 10.48322/bqr4-cj65
title: ARTEMIS-P1 Ephemeris, Heliocentric Trajectories, Heliographic, Heliographic Inertial, and Solar Ecliptic Coordinates, HelioWeb, Daily Data

description: Heliocentric trajectories for ARTEMIS-P1 in Heliographic, HG, Heliographic Inertial, HGI, and Solar Ecliptic, SE, Coordinates The original trajectory data are taken from http://ssd.jpl.nasa.gov/horizons.cgi where users can find many more objects. In the case of orbit data for planets, the orbit data can be used as a proxy for spacecraft ephemeris that are in orbit about the planets. On a heliospheric scale, differences between the planet orbital tarjectory and that of the spacecraft are very small. For instance, the heliocentric longitudes differ by only 0.25° for a spacecraft stationed near the L1 Lagrange point at approximately 100 Earth radii upstream of the Earth. The production of the HG, HGI, and SE trajectory data requires a values for the "Equinox Epoch", which is defined as the epoch time when the direction from the Earth to the sun at the time of the vernal equinox when the sun seems to cross equatorial plane of the Earth from below. This direction is called the First Point of Aries, FPA and it is not a fixed direction but drifts by about 1.4° per century or 50.26" per year. In addition, there are tiny irregularities in FPA drift that are on the order of 1" per year or less. The Equinox Epoch can be determined by using a variety of methods for calculating the instantaneous FPA longitudinal direction and whether the tiny irregularities have been smoothed or averaged out. Four methods for determining the Equinox Epoch are in common usage: +---------------------------------------------------------------------+   Method Name   FPA Longitude Definition    ---------------------------------------------------------------------    B1950.0   the actual FPA at 22:09 UT on December 31, 1949     J2000.0   the smoothed FPA at 12:00 UT on January 1, 2000     True of Date   the actual FPA at 00:00 UT on the date of interest     Mean of Date   the smoothed FPA at 00:00 UT on the date of interest   +---------------------------------------------------------------------+ The heliocentric trajectory data included in this data product have been calculated by using the Equinox Epoch: defined via the "Mean of Date" method. More precise coordinates, and some planet-centered coordinates, are found in the "traj" subdirectories of spacecraft specific directories at https://spdf.gsfc.nasa.gov/pub/data/ and http://ssd.jpl.nasa.gov/horizons.cgi.
DOI: 10.15468/dl.s29s72
title: Occurrence Download

description: A dataset containing 7856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Occurrence evidence, Specimen)",
 "Country is one of (Ecuador, Colombia, Panama, Peru, Costa Rica, Brazil, French Guiana, Venezuela (Bolivarian Republic of), Guyana, Suriname)",
 "Geometry POLYGON((-89.09572 -20.04239,-43.97383 -20.04239,-43.97383 13.25741,-89.09572 13.25741,-89.09572 -20.04239))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atelopus"
 ]
}

 The dataset includes 7856 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069353-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18098376
title: Example spatial single-cell data

description: This is an example data set of spatially resolved single cell RNA-seq from the anterior region of sagittal mouse brain, which is generated by 10X Genomics Visium. It is stored in the Seurat class and contains clustering information generated by the Seurat package.
DOI: 10.5281/zenodo.7843361
title: Example spatial single-cell data

description: This is an example data set of spatially resolved single cell RNA-seq from the anterior region of sagittal mouse brain, which is generated by 10X Genomics Visium. It is stored in the Seurat class and contains clustering information generated by the Seurat package.
DOI: 10.15468/dl.37texd
title: Occurrence Download

description: A dataset containing 8081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.9828 49.49298,6.00641 49.49298,6.00641 49.51298,5.9828 49.51298,5.9828 49.49298))",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 8081 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069354-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dehb32
title: Occurrence Download

description: A dataset containing 10438 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Benthic macroalgae from the coasts of Venezuela 1822-2021"
 ]
}

 The dataset includes 10438 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069355-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw43vf
title: Occurrence Download

description: A dataset containing 10438 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Benthic macroalgae from the coasts of Venezuela 1822-2021"
 ]
}

 The dataset includes 10438 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069356-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/4jrz-z953
title: XRD data of V2AlC, Mo3AlC2, Mo3CTx and V2AlCTx

description: Raw data for XRD diffractograms of MAX phases: V2AlC and Mo3AlC2 and corresponding  MXenes after selective etching of Al.
MAX matrices (V2AlC and Mo3AlC2) were purchased from Luoyang Tongrun Info Technology, China.
MXenes were prepared via selective etching of aluminium using hydrofluoric acid (40%) for 96 h at room temperature. After the etching, the powders were flirted, washed with water and ethanol until pH reached 6. Then, the MXenes were dried under vacuum at 50˚C for 24 h.
DOI: 10.48577/jpl.gjjyxv
title: Photoexcitation-assisted EDMR on SiC JFETs for quantum sensing applications

description: Electrically detected magnetic resonance (EDMR) is a powerful tool to interrogate quantum phenomena in semiconductors, e.g., to facilitate microelectronic sensors such as magnetometers. However, efforts to increase EDMR magnetometer sensitivity into the critical single-digit nT= ffiHffiffiffizffiffi p range have stalled, prompting recent electro-optical pumping schemes. Notable advancements in enhancing the EDMR response in silicon carbide (SiC) devices exposed to ultraviolet (UV) light have been reported. We investigate the interplay between UV excitation and bias voltage in UV-pumped EDMR using a 4H-SiC junction field-effect transistor (JFET). We identify two sensitivity-improving operational regimes: (i) spin-dependent recombination (SDR)-dominated signal enhancement in the standard forward-bias range, and (ii) noise reduction enabled by UV-induced shifting of the device open-circuit voltage UOC. While our sensor clearly benefits from signal enhancement, we also observe a saturation of this effect at higher biases and excitation powers. By contrast, operation in the UOC regime emerges as a promising alternative, where we report a record EDMR contrast, exceeding 2%. We achieve a maximum sensitivity of 30 nT= ffiHffiffiffizffiffi p , on par with record performances reported for EDMR magnetometers. This is projected to reach a single-digit nT= ffiHffiffiffizffiffi p figures of merit at higher photoexcitation power. Our findings highlight the potential of UV-enhanced EDMR, despite saturation limits in the forward-bias regime, and establish photoexcited EDMR magnetometers as a competitive alternative to state-of-the-art magnetic field sensors.
DOI: 10.48577/jpl.zabjyh
title: GNSS-R Capacity Building Workshop Successfully Held in India: Empowering the Next Generation of Remote Sensing Experts

description: Recognizing the strategic importance of Global Navigation Satellite System Reflectometry (GNSS-R) and its potential integration with India's NavIC system for critical remote sensing applications—particularly soil moisture monitoring and disaster management—the IEEE GRSS Instrumentation and Future Technologies Technical Committee organized a focused 3-day capacity-building workshop. Held in Hyderabad (April 8-10, 2025), the event successfully targeted 21 PhD-holding academics and researchers from 13 prestigious Indian institutions, including IITs and leading space organizations. The comprehensive curriculum, delivered by international experts from institutions including NASA, Purdue University, and ISRO, provided a foundational understanding of GNSS-R and GNSS Interferometric Reflectometry (GNSS-IR) principles, the innovative use of Signals of Opportunity (SoOp), and practical mission implementation strategies. Successfully executed despite initial logistical hurdles, the workshop achieved a high level of participant satisfaction, enhancing their knowledge and fostering valuable networking. This initiative marks a crucial step toward cultivating a skilled workforce empowered to integrate this advanced GNSS-R expertise into their academic endeavors, thereby contributing to India's growing remote sensing capabilities and capacity to address critical environmental and societal challenges.
DOI: 10.15468/dl.6mbmve
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "TaxonKey is Pancratium maritimum"
 ]
}

 The dataset includes 218 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069357-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/icikrf
title: Replication Data for: Mapping the depletion of North American water and carbon stocks due to land cover changes over the past 30 years

description: Water, Carbon, and Land Cover Change data derived from ESA CCI and InVEST results. Land Cover Change data is annual change from 1992 - 2020. The carbon and water data are the state and province level total change and normalized change between 1992 and 2018.
DOI: 10.6084/m9.figshare.30964693
title: Hyperspectral Imaging Data of Kidney, Small Bowel and Skin in a Pig Model During Hemorrhagic Shock

description: Hyperspectral Imaging Data of Microcirculatory Oxygenation of Kidney, Small Bowel and Skin in a Pig Model During Hemorrhagic Shock and Subsequent Intervention:<br>Permissive Hypotension (I)<br>Norepinephrine Infusion (II)<br>Crystalloid Volume Therapy (III)<br>Combined Crystalloid-Norepinephrine Therapy (IV)
DOI: 10.6084/m9.figshare.30964693.v1
title: Hyperspectral Imaging Data of Kidney, Small Bowel and Skin in a Pig Model During Hemorrhagic Shock

description: Hyperspectral Imaging Data of Microcirculatory Oxygenation of Kidney, Small Bowel and Skin in a Pig Model During Hemorrhagic Shock and Subsequent Intervention:<br>Permissive Hypotension (I)<br>Norepinephrine Infusion (II)<br>Crystalloid Volume Therapy (III)<br>Combined Crystalloid-Norepinephrine Therapy (IV)
DOI: 10.48577/jpl.ax3rd6
title: DPCA-Based Doppler Radar Measurements from Space: Impact of Antenna Beamwidths and Baseline Tilting

description: Since 1997, Earth’s atmosphere has been continuously monitored by a number of spaceborne atmospheric radars. Only the EarthCARE cloud profiling radar has had Doppler capability; others measured only reflectivity due to challenges resulting from platform motion. One concept for achieving high-accuracy Doppler measurements uses the Displaced Phased Center Antenna (DPCA) method, in which two antennas are appropriately spaced so that platform motion is cancelled for pulse pairs using the two antennas. Our previous work initially looked at ideal DPCA performance and, most recently, effects of antenna pointing and position errors. This work completes the investigation of plausible antenna configurations’ error sources for the Doppler velocity estimation by considering the effects of antenna beamwidth differences and tilting of the DPCA baseline in the vertical plane.
DOI: 10.48577/jpl.m3hu8h
title: CRESCENT: Collision-Free Highly-Constrained Trajectory Optimization for Driving on the Moon

description: Rovers have been a mainstay of planetary exploration missions, significantly expanding ourknowledge in planetary science. However, past rover missions have involved significant human supervisionto oversee rover operations, a state-of-practice that scales poorly for the next generation of missions. Inthis work, we present the development of CRESCENT, a motion planning algorithm developed for theupcoming multi-agent CADRE Lunar rover mission. CRESCENT was designed to safely drive a miniaturerover platform in a highly cluttered unmapped Lunar environment, executing complex motion directivesfrom CADRE’s team-level autonomy while meeting far stricter dynamical and temporal constraints thanexisting on-board planetary rover planning algorithms are capable of satisfying. Our hierarchical approachformulates an efficient numerical trajectory optimization-based motion planning algorithm that makesuse of nonlinear optimization to solve the planning problem in real-time. We demonstrate the efficiencyof our proposed approach through extensive simulations and hardware testing in a representative Lunarenvironment. Following CADRE’s upcoming deployment on the Lunar surface, CRESCENT will be thefirst nonlinear optimization-based trajectory optimization approach used on another celestial body.
DOI: 10.34740/kaggle/dsv/14346172
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30972034
title: 500-cbm-LNG-Bunkering-Ship-under-Jet-Fire-Release-using-OpenFOAM

description: This study investigates the impact of a jet fire release on personnel safety and the structural integrity of an LNG bunkering ship in a port scenario. Computational Fluid Dynamics (CFD) simulations using OpenFOAM solver model immediate fire ignition to predict temperature distributions within the vessel’s structure.<br>
DOI: 10.6084/m9.figshare.30972034.v1
title: 500-cbm-LNG-Bunkering-Ship-under-Jet-Fire-Release-using-OpenFOAM

description: This study investigates the impact of a jet fire release on personnel safety and the structural integrity of an LNG bunkering ship in a port scenario. Computational Fluid Dynamics (CFD) simulations using OpenFOAM solver model immediate fire ignition to predict temperature distributions within the vessel’s structure.<br>