cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.gaeodp
title: Io’s polar volcanic thermal emission supports shallow tidal heating and magma ocean models

description: The distribution of volcanic activity on Io, the most volcanically active object in the Solar System is the result of tidally-induced internal heating. Models predict enhanced heat flow at Io’s poles if tidal heating is deep in the mantle, and at lower latitudes if heating is predominantly in the asthenosphere or a magma ocean is present. We must first understand the distribution and magnitude of Io’s tidal heating in order to determine the current position of Io in the evolving orbital resonance with Europa and Ganymede. However, previous missions did not adequately observe Io’s poles. The desired global measurements of volcanic thermal emission were made possible only when NASA’s Juno mission entered a polar orbit around Jupiter in 2016. Here we show that the distribution of volcanic 4.8-μm spectral radiance supports the shallow tidal heating model. We have created the first global mapping of 4.8-μm spectral radiance from 266 volcanic hot spots identified in Juno Jovian Infrared Auroral Mapper (JIRAM) data. We find 60% more volcanic spectral radiance per unit area at latitudes lower than 60°. Although the numbers of hot spots per unit area are not greatly different, polar volcanoes emit less energy at 4.8 μm than volcanoes at lower latitudes by a factor of more than two. This result is consistent with shallow (aesthenospheric) tidal heating models or the presence of global magma ocean. Our results also show that north polar volcano spectral radiance is more than twice that of south polar volcanoes, suggesting dichotomies in structure and volcanic advection between polar regions.
DOI: 10.48577/jpl.kjwmyg
title: CMZoom IV. Incipient High-Mass Star Formation Throughout the Central Molecular Zone

description: In this work, we constrain the star-forming properties of all possible sites of incipient high-mass star formation in the Milky Way's Galactic Center. We identify dense structures using the \textit{CMZoom} 1.3mm dust continuum catalog of objects with typical radii of $\sim$0.1pc, and measure their association with tracers of high-mass star formation. We incorporate compact emission at 8, 21, 24, 25, and 70$\mu$m from MSX, Spitzer, Herschel, and SOFIA, cataloged young stellar objects, and water and methanol masers to characterize each source. We find an incipient star formation rate for the CMZ of $\sim$0.08 M$_\odot$yr$^{-1}$ over the next few 10$^5$yr. We calculate upper and lower limits on the CMZ's incipient SFR of $\sim$0.41 M$_\odot$yr$^{-1}$ and $\sim$0.05 M$_\odot$yr$^{-1}$ respectively, spanning between roughly equal to and several times other estimates of CMZ's recent SFR. Despite substantial uncertainties, our results suggest the incipient SFR in the CMZ may be higher than previously estimated. We find that the prevalence of star formation tracers does not correlate with source volume density, but instead $\gtrsim$75\% of high-mass star formation is found in regions above a density ratio (N$_{\rm SMA}$/N$_{\rm Herschel}$) of $\sim$1.5. Finally, we highlight the detection of ``atoll sources'', a reoccurring morphology of cold dust encircling evolved infrared sources, possibly representing HII regions in the process of destroying their envelopes.
DOI: 10.48577/jpl.xnjiqv
title: Unraveling the Geologic History of Miranda’s Inverness Corona

description: Miranda is the only icy body whose surface is known to contain the enigmatic features called corona—ovoid to trapezoidal areas of deformation. In this work, we seek to constrain potential formation mechanisms for Inverness Corona, the youngest known region on Miranda (Kirchoff et al., 2022). To do this, we created the first detailed geologic map of Inverness, enabling the creation of a stratigraphic column of the order of events that formed this region. We employed a previously published Digital Elevation Model (DEM) of the northern region of Inverness Corona (Beddingfield et al., 2022) to analyze the spacing of features in the region, that we propose to be extensional in origin. From this, we estimate an approximate brittle ice shell thickness of 2.5-3.8 km at the time of the region’s formation, indicating that Miranda’s brittle ice shell may have been relatively thin in the geologically recent past. We propose that Inverness formed from extension driven by a rising diapir or ice-shell thickening from a recent orbital resonance with Umbriel (Ćuk et al., 2020). The Uranus Orbiter and Probe (UOP) mission is the highest priority flagship mission recommendation of the 2023-2032 Planetary Science and Astrobiology Decadal Survey. As such, we suggest measurements related to imaging, composition, gravity, and ice-shell thickness to gain an understanding of the geologic and orbital histories of the Uranian satellites, which would have implications for the evolution of the system as a whole.
DOI: 10.48577/jpl.g9hx4u
title: 2-D Fluid-PIC Simulations of Hall Thrusters with Self-consistent Resolution of the Space-charge Regions

description: Many hybrid simulations of Hall thrusters, where electrons and ions are solved using hydrodynamics and particle-in-cell methods, respectively, assume that the ionized gas is quasi-neutral everywhere in the computational domain and apply so-called thin-sheath approximations to account for space-charge effects near solid boundaries. These approximations do not hold along boundaries near the exit of the thruster or in the near plume regions, where the plasma conditions can lead to Debye lengths in the order of or higher than the local grid resolution. We present a numerical scheme that fully resolves the conditions of the ionized gas in space-charge regions of any thickness and that is coupled consistently to a global hybrid simulation of Hall thrusters. We verify the numerical results with the closed-form solution for a Langmuir sheath in a simplified one-dimensional example and then, again, in simulations where the model is integrated in a 2-D multifluid/PIC axial-radial code called Hall2De. The new capability to resolve numerically large sheaths around solid boundaries in Hall thrusters allows for significantly more accurate assessments of ion sputtering thus improving thruster lifetime predictions.
DOI: 10.48577/jpl.0ipxki
title: Augmenting Voyager 2 Science Data Return for Heliopause Detection with Parkes Observatory

description: This paper describes a fast-track, low-cost implementation effort that the NASA Deep Space Network (DSN) undertook to support Voyager 2 mission. The result significantly increased science data return for Voyager 2 mission’s heliopause detection. The Parkes Observatory 64-m “Murriyang” radio telescope of the Australia Telescope National Facility (ATNF) was used between November 2018 – February 2019 to supplement the DSN tracking of Voyager 2. One key equipment that made such a support possible was the Record & Playback Assembly (RPA). It was based on a commercial software defined radio (SDR) that can be procured at low cost and quickly assembled to exhibit new capabilities with public- domain software libraries. The RPA at Parkes captured and recorded the received signal from Voyager. It then sent the digitized samples via the public internet to another RPA at Goldstone, California to be played back into a standard DSN receiver. Bridging the ATNF and DSN equipment across two continents, the RPA enabled data received at Parkes to flow into the Voyager mission operation system as if they came from another DSN antenna. In this paper, we will discuss the design of such a system. We will also describe the system operational concept, and a tight processing timeline necessary to keep up with new data collected daily. Some data management challenges associated with realizing a timely transfer of a large data set over the internet will be discussed. Other performance metrics such as the operating link margin at Parkes antenna, the system loss, the amount of data return to Voyager 2 mission, weather statistics and its impact on data return will be presented.
DOI: 10.48577/jpl.a1am71
title: XR for Hardware Design, Assembly, and Operations at NASA JPL

description: No abstract available.
DOI: 10.48577/jpl.ap6moe
title: Disentangling timescales of terrestrial water storage variability

description: No abstract available.
DOI: 10.48577/jpl.twxgl4
title: Surface Biology and Geology (SBG) Overview

description: No abstract available.
DOI: 10.48577/jpl.egnqfl
title: OPERA RTC-S1 Product, Algorithm, and Validation Approach

description: No abstract available.
DOI: 10.48577/jpl.nuytza
title: Engaging Surface Water and Ocean Topography (SWOT) Early Adopters for Operational Applications

description: No abstract available.
DOI: 10.48577/jpl.vy3mnz
title: Working Group Report – Calibration

description: No abstract available.
DOI: 10.48577/jpl.meslfc
title: FPrime AMPCS Overview Presentation

description: No abstract available.
DOI: 10.48577/jpl.z1wqle
title: 2022 NASA ESDT Workshop - Integrated Digital Earth Analysis System

description: No abstract available.
DOI: 10.48577/jpl.wl6yjg
title: Investigating the intrinsic timing performance of WSi and NbTiN micron wide superconducting nanowire single photon detectors

description: No abstract available.
DOI: 10.48577/jpl.bbufw4
title: Coordination, Calibration and Algorithm Development of the Thermal Infrared Activities for the ESA Land Surface Temperature Monitoring (LSTM) Mission and NASA Surface Biology and Geology (SBG) Designated Observable

description: No abstract available.
DOI: 10.48577/jpl.lt3iu3
title: Tectonics and Surface Processes of Tibet Constrained from Sentinel-1 InSAR Time Series

description: No abstract available.
DOI: 10.48577/jpl.klslz0
title: Human and Autonomous Robot Teaming on Mars Perseverance

description: No abstract available.
DOI: 10.48577/jpl.lpaahf
title: THE EVASIVE LUNAR VOLCANIC GAS: NEW DISCOVERIES FROM APOLLO 17 ORANGE BEADS 50 YEARS LATER

description: No abstract available.
DOI: 10.48577/jpl.oxysha
title: ITRF2020 seasonal signals

description: No abstract available.
DOI: 10.48577/jpl.xjhoax
title: MarCO: Mars Cube One

description: No abstract available.
DOI: 10.48577/jpl.3vexie
title: Radically Advancing the Capabilities of Space-based Computing

description: No abstract available.
DOI: 10.48577/jpl.utsh8l
title: CoSTAR-Mesh Networking

description: No abstract available.
DOI: 10.6084/m9.figshare.24451720
title: ctLung.nii.gz

description: image ct lung<br>
DOI: 10.48577/jpl.too97k
title: Quantifying the carbon cycle impacts of extreme events with space-based XCO2 retrievals

description: No abstract available.
DOI: 10.48577/jpl.dm25uf
title: NASA SBIR Program Updates for the 2023 Solicitation

description: No abstract available.
DOI: 10.48577/jpl.xz2ggt
title: Special Topic 4: Cost Estimation

description: No abstract available.
DOI: 10.48577/jpl.drjfx9
title: Environmental X-Ray Computed Tomography (E-CT): 3D CT at Elevated to Cryogenic Temperatures

description: No abstract available.
DOI: 10.48577/jpl.ma59sv
title: Exploring the many dimensions of imaging spectroscopy

description: No abstract available.
DOI: 10.48577/jpl.memthw
title: Terrain Sensing and Recognition for Safe and Precise Planetary Landing

description: No abstract available.
DOI: 10.48577/jpl.3f9d1d
title: Roman Coronagraph Instrument Status Update

description: No abstract available.
DOI: 10.48577/jpl.kugtzm
title: ECOSTRESS_L1_Calibration_Geolocation_17OCT2023

description: No abstract available.
DOI: 10.48577/jpl.lar4p9
title: NASA PO.DAAC Report to the GHRSST Project

description: No abstract available.
DOI: 10.48577/jpl.squff0
title: JPL Multispecies Materials Outgassing Testing and Modeling Status

description: No abstract available.
DOI: 10.48577/jpl.dlahej
title: How Microdevices Revolutionize Space Exploration

description: No abstract available.
DOI: 10.48577/jpl.hr62l1
title: NISAR and OPERA Cal/Val Update

description: No abstract available.
DOI: 10.48577/jpl.fqhqmf
title: The Many Flavors of AI

description: No abstract available.
DOI: 10.48577/jpl.mdo3vl
title: Progress and challenges in retrieving PAN from AIRS

description: No abstract available.
DOI: 10.48577/jpl.cfmx93
title: SWOT IN SITU AND AIRBORNE VALIDATION CAMPAIGN IN THE ST. LAWRENCE ESTUARY AND SAGUENAY FJORD

description: No abstract available.
DOI: 10.6084/m9.figshare.24451726
title: protonLung.nii.gz

description: proton lung image
DOI: 10.6084/m9.figshare.24451726.v1
title: protonLung.nii.gz

description: proton lung image
DOI: 10.48577/jpl.8dtjm5
title: Deltas, Estuaries Coasts WG: Session Summary

description: No abstract available.
DOI: 10.48577/jpl.yxr4m8
title: Leveraging High Revisit Rate GNSS-R Tracks to Predict SAR Backscatter

description: No abstract available.
DOI: 10.48577/jpl.ubrhpp
title: Atmospheric chemistry and microphysics as applied to the early Mars sulphur cycle

description: No abstract available.
DOI: 10.48577/jpl.htkwri
title: Fire-driven changes in landscape water use: A diurnal, multi-ecoregion perspective

description: No abstract available.
DOI: 10.48577/jpl.qdbvzv
title: GPS High Accuracy Service (GPS HAS) Based on GDGPS

description: No abstract available.
DOI: 10.48577/jpl.g6ulsw
title: Menrva Crater, Titan as an ancient exhumed crater

description: No abstract available.
DOI: 10.48577/jpl.gzuva2
title: Strong Lithospheric Resistance Limits Potential for Europan Seafloor Volcanism

description: No abstract available.
DOI: 10.48577/jpl.y9p07k
title: Mars Sample Return Planning Contamination Control Strategy

description: No abstract available.
DOI: 10.48577/jpl.4jab0z
title: OCO-3 Mission Status

description: No abstract available.
DOI: 10.48577/jpl.hahfn7
title: Landslides on icy planetary surfaces

description: No abstract available.
DOI: 10.48577/jpl.mbr4ne
title: OCO-2/3 2023 STM Calibration Breakout Report

description: No abstract available.
DOI: 10.48577/jpl.epmame
title: Imaging Spectroscopy for Societal Benefit

description: No abstract available.
DOI: 10.48577/jpl.wtebkg
title: The Europa Clipper Mission: From Concept to Reality

description: No abstract available.
DOI: 10.48577/jpl.agfyqz
title: Investigating Convective Core and Outflow Characteristics in ENSO: New Insights into the Underlying Convective Process

description: No abstract available.
DOI: 10.48577/jpl.axagtu
title: From Airbags to WheelsThe Evolution of GN for Entry, Descent, and Landing

description: No abstract available.
DOI: 10.48577/jpl.wfjcyw
title: OCO-2/3 2023 STM Calibration Breakout Report

description: No abstract available.
DOI: 10.48577/jpl.y3z6qv
title: UV Sterilization and Backward Planetary Protection for Mars Sample Return

description: No abstract available.
DOI: 10.48577/jpl.0vdqbb
title: Planetary Protection Status on Europa Clipper for NAS Committee on Planetary Protection 2023 Fall Meeting

description: No abstract available.
DOI: 10.6084/m9.figshare.24451729
title: cxr.nii.gz

description: chest x-ray image<br>
DOI: 10.6084/m9.figshare.24451729.v1
title: cxr.nii.gz

description: chest x-ray image<br>
DOI: 10.5281/zenodo.10011017
title: RectifHyd

description: RectifHyd provides estimated monthly hydroelectric power generation for approximately 1,500 power plants in conterminous United States for the period 2001 through 2022. Monthly generation estimates are created by disaggregating each plant's annual generation with the aid of reservoir operations and downstream streamflow data. RectifHyd provides an alternative to EIA-923 imputed monthly generation for U.S. hydropower plants.
Version 1.2 adds estimates for 2021 and 2022. Since the reservoir release dataset used to inform RectifHyd disaggregation is not updated beyond 2020, years 2021 and 2022 are disaggregated solely using downstream flow data, where available. Refer to Turner et al. (2022) for full method details (https://www.nature.com/articles/s41597-022-01748-x).
Version 1.2.1 places header material into a separate readme to improve file readability.
DOI: 10.5281/zenodo.10048773
title: Stereoscopic Depth Perception Through Foliage

description: Abstract:
Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human ability to fuse stereoscopic images. For object identification tasks, as required in search and rescue, wildlife observation, surveillance, and early wildfire detection, depth assists in differentiating true from false findings, such as people, animals, or vehicles vs. sun-heated patches at the ground level or in the tree crowns, or ground fires vs. tree trunks. We used video captured by a drone above dense woodland to test users' ability to discriminate depth. We found that this is impossible when viewing monoscopic video and relying on motion parallax. The same was true with stereoscopic video because of the occlusions caused by foliage. However, when synthetic aperture sensing was used to reduce occlusions and disparity-scaled stereoscopic video was presented, whereas computational (stereoscopic matching) methods were unsuccessful, human observers successfully discriminated depth. This shows the potential of systems which exploit the synergy between computational methods and human vision to perform tasks that neither can perform alone.
DOI: 10.5281/zenodo.8423081
title: Stereoscopic Depth Perception Through Foliage

description: <strong>Abstract:</strong> Both humans and computational methods struggle to discriminate the depth of objects hidden under foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with human’s ability to fuse stereoscopic images. For object identification tasks, as required in search and rescue, wildlife observation, surveillance, or early wildfire detection, depth provides an additional hint to differentiate between true and false findings, such as people, animals, or vehicles vs. sun-heated patches on the ground surfaces or the tree crowns, or ground fires vs. tree trunks. We used video captured by a drone above dense forest to test user’s ability to discriminate depth. We found that discriminating the depth of objects is infeasible when inspecting monoscopic video and relying on motion parallax. This was also impossible for stereoscopic video because of the occlusions from the foliage. However, when the occlusions were reduced with synthetic aperture sensing and disparity-scaled stereoscopic video was presented, human observers were successful in the depth discrimination. At the same time, computational (stereoscopic matching) methods were unsuccessful. This shows the potential of systems which use the synergy of computational methods and human vision to perform tasks that are infeasible for either of them alone.
DOI: 10.5281/zenodo.8423080
title: Stereoscopic Depth Perception Through Foliage

description: Abstract:
Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human ability to fuse stereoscopic images. For object identification tasks, as required in search and rescue, wildlife observation, surveillance, and early wildfire detection, depth assists in differentiating true from false findings, such as people, animals, or vehicles vs. sun-heated patches at the ground level or in the tree crowns, or ground fires vs. tree trunks. We used video captured by a drone above dense woodland to test users' ability to discriminate depth. We found that this is impossible when viewing monoscopic video and relying on motion parallax. The same was true with stereoscopic video because of the occlusions caused by foliage. However, when synthetic aperture sensing was used to reduce occlusions and disparity-scaled stereoscopic video was presented, whereas computational (stereoscopic matching) methods were unsuccessful, human observers successfully discriminated depth. This shows the potential of systems which exploit the synergy between computational methods and human vision to perform tasks that neither can perform alone.
DOI: 10.5281/zenodo.8423145
title: Stereoscopic Depth Perception Through Foliage

description: <strong>Abstract:</strong> Both humans and computational methods struggle to discriminate the depth of objects hidden under foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with human’s ability to fuse stereoscopic images. For object identification tasks, as required in search and rescue, wildlife observation, surveillance, or early wildfire detection, depth provides an additional hint to differentiate between true and false findings, such as people, animals, or vehicles vs. sun-heated patches on the ground surfaces or the tree crowns, or ground fires vs. tree trunks. We used video captured by a drone above dense forest to test user’s ability to discriminate depth. We found that discriminating the depth of objects is infeasible when inspecting monoscopic video and relying on motion parallax. This was also impossible for stereoscopic video because of the occlusions from the foliage. However, when the occlusions were reduced with synthetic aperture sensing and disparity-scaled stereoscopic video was presented, human observers were successful in the depth discrimination. At the same time, computational (stereoscopic matching) methods were unsuccessful. This shows the potential of systems which use the synergy of computational methods and human vision to perform tasks that are infeasible for either of them alone.
DOI: 10.18728/igb-fred-848.2
title: Global introductions and environmental impacts of freshwater megafish

description: This data was used to assess the impacts of alien freshwater megafish on native species using the EICAT and EICAT+ protocols.
DOI: 10.22003/xfel.eu-data-004471-00
title: Pump-probe XAS of Cu(I) complexes by using ghost spectroscopy
DOI: 10.22003/xfel.eu-data-004237-00
title: Ultrafast structural dynamics driven by laser-induced demagnetization in presence of strong spin-phonon coupling
DOI: 10.22003/xfel.eu-data-006317-00
title: Preparation of user experiment 4507 (Khakhulin/Milne) (derived from 4507)
DOI: 10.21429/c9js8s
title: Alaskan Arctic Coastal Plain Polygonal Tundra Geomorphology Map

description: We mosaicked twelve LandSat-8 OLI satellite images taken during the summer of 2014, which were used in an object based image analysis (OBIA) to classify the landscape. We mapped seventeen of the most dominant geomorphic land cover classes on the Alaskan Coastal Plain (ACP):

**value** | **class name**  

1 | Coastal saline waters  
2 | Large lakes  
3 | Medium lakes  
4 | Small lakes  
5 | Ponds  
6 | Rivers  
7 | Nonpatterned Drained Thaw Lake Basins  
8 | Coalescent low-center polygons  
9 | Low-center polygons  
10 | Flat-center polygons  
11 | High-center polygons  
12 | Drained slope  
13 | Sandy barrens  
14 | Sand dunes  
15 | Riparian corridors  
16 | Ice  
17 | Urban (i.e. towns and roads)
DOI: 10.21429/c9f04d
title: Alaskan Arctic Coastal Plain NDVI trend (1999-2014) Map

description: Normalized difference vegetation index (NDVI) trend map was computed for the Alaskan Arctic Coastal Plain between 1999 and 2014. The decadal trend of each pixel was computed using 40-110 individual Landsat (TM, ETM+, OLI) satellite images acquired during July or August.