cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-857655
title: Development of the Social Response Biases in Loneliness for Young Adults Scale: Rooting Scale Development in Young Peoples’ Lived Experiences, 2022

description: Youth loneliness is common and associated with poorer health and wellbeing. Chronic loneliness could arise from a cognitive bias towards forming threatening over benign interpretations of social situations, leading to a behavioural bias favouring social withdrawal over social approach, thereby facilitating and maintaining persistent loneliness. We have developed an age-appropriate assessment tool, the Social Response Biases in Loneliness for Young Adults (SRBL-YA), for measuring these cognitive and behavioural biases. The SRBL-YA consists of 12 open-ended ambiguous loneliness-relevant scenarios that are followed by both a negative and a positive resolution to the scenario. When completing the SRBL-YA, one rates the likelihood of each of the resolutions occurring, on a 5-point Likert scale, from “extremely unlikely” to “extremely likely”.

The data presented here consists of an online survey, collected for the purpose of examining the psychometric properties of the SRBL-YA. Specifically, the factor structure of the SRBL-YA and its association with loneliness, depression, anxiety and social anxiety were examined in a sample of University students (n=416). 

Confirmatory factor analysis indicated that a 7-item scale may improve upon the 12-item version, however, the reliability of both versions was somewhat low (α = 0.68-0.81). Both versions of the SRBL-YA showed convergent validity with loneliness, even when accounting for depressive, anxiety and social anxiety symptoms, but require further validation in independent samples.
DOI: 10.15468/dl.wg2t9z
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Batrachoseps altasierrae Jockusch, Martínez-Solano, Hansen & Wake, 2012)"
 ]
}

 The dataset includes 218 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015788-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkz3pt
title: Occurrence Download

description: A dataset containing 12147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Issue is Coordinate rounded",
 "License is CC0 1.0",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Coleoptera",
 "Year 2015-2025"
 ]
}

 The dataset includes 12147 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015789-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34ytw7
title: Occurrence Download

description: A dataset listing the 258 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ormosia Jacks."
 ]
}

 The dataset's 258 records were derived from 492 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015778-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9fh3d
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coscinodiscus centralis A.Schulze, 1879"
 ]
}

 The dataset includes 493 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015800-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgsrg4
title: Occurrence Download

description: A dataset containing 1480 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gyraulus chinensis (Dunker, 1848)"
 ]
}

 The dataset includes 1480 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015796-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46gjhc
title: Occurrence Download

description: A dataset containing 12338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crepis L.",
 "Year 1983-2025"
 ]
}

 The dataset includes 12338 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015797-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11570450
title: Processed data and analysis outputs for "The mystery of water in the atmosphere of tau Bootis b continues: insights from revisiting archival CRIRES observations"

description: These are the processed data and outputs from the work presented in Panwar et al. 2024 (Monthly Notices of the Royal Astronomical Society, Volume 535, Issue 1, November 2024, Pages 155–170, https://doi.org/10.1093/mnras/stae2361). The processed data are the reduced spectral fluxes from the raw CRIRES data for three dates of observations, along with some auxiliary information. The outputs are the Bayesian inference posteriors from MultiNest (obtained using the cross-correlation to log-likelihood approach), and related constraints on the atmospheric thermal structure and chemical composition of the hot Jupiter τ Boötis b. Please see the README file for more details on how to use the data products.
DOI: 10.5281/zenodo.11570451
title: Processed data and analysis outputs for "The mystery of water in the atmosphere of tau Bootis b continues: insights from revisiting archival CRIRES observations"

description: These are the processed data and outputs from the work presented in Panwar et al. 2024 (Monthly Notices of the Royal Astronomical Society, Volume 535, Issue 1, November 2024, Pages 155–170, https://doi.org/10.1093/mnras/stae2361). The processed data are the reduced spectral fluxes from the raw CRIRES data for three dates of observations, along with some auxiliary information. The outputs are the Bayesian inference posteriors from MultiNest (obtained using the cross-correlation to log-likelihood approach), and related constraints on the atmospheric thermal structure and chemical composition of the hot Jupiter τ Boötis b. Please see the README file for more details on how to use the data products.
DOI: 10.15468/dl.kr34nq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lonicera implexa subsp. valentina (Pau ex Willk.) Rivas Mart. & M.J.Costa",
 "Year 1950-2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015806-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2737u2
title: Occurrence Download

description: A dataset containing 13369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardellina rubrifrons (Giraud Jr, 1841)",
 "Year 2022-2025"
 ]
}

 The dataset includes 13369 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015805-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15191300
title: Rodent Demographics - Sex Differences

description: Subject ID, cage, sex, and cohort are all included in a .csv file.
DOI: 10.5281/zenodo.15191301
title: Rodent Demographics - Sex Differences

description: Subject ID, cage, sex, and cohort are all included in a .csv file.
DOI: 10.48577/jpl.fo87da
title: Terrain-Structure-Invariant Range-Visual-Inertial Odometry

description: We propose a novel range-visual-inertial odometry (range-VIO) algorithm compatible with any terrain structure. Unlike previous approaches, our approach does not make any assumption - not even local - about the planarity of terrain between the 1D range measurement and the visual feature observations. Range information is critical to prevent metric scale drift in the absence of visual-inertial excitation. This paper is motivated by state estimation for the new mid-air helicopter delivery maneuver being developed for the next-generation Mars helicopters. Not only does the descent trajectory feature low VIO excitation, but scientists are also considering highly non-planar targets in the largest canyon in the Solar system Valles Marineris. Through extensive testing in image-based simulations using actual terrain structure and textures collected in Mars orbit, we demonstrate that only our new range-VIO approach is able to estimate terrain-relative velocity within the mission requirements compared to state-of-the-art approaches from both the robotics and planetary exploration literature.
DOI: 10.48577/jpl.btv1sn
title: Pathfinding the Future of Spacecraft Protection with Project-Specific Threat Impact Assessments

description: NASA’s Jet Propulsion Lab (JPL) is pathfinding the future of spacecraft protection by developing a Project-Specific Threat Impact Assessment (PSTIA) process. JPL’s Mission Protection Office (MPO), part of the Office of the Chief Engineer, in coordination with protection subject matter experts (SMEs) from The Aerospace Corporation developed this process to provide projects with an assessment of the in-space threats (both intentional and unintentional) relevant to each project. These project-specific assessments contain individualized, actionable information. They directly support the needs of projects to assess applicable adversarial threats and manage associated risk to meet the project protection planning requirements of NASA NPR 7120.5F and NASA STD-1006A. The MPO is formalizing the process of providing this valuable information to the project’s systems engineering and risk management processes, and to ensure it’s consistent and available for all future JPL missions. This paper will discuss the importance and benefits of providing actionable threat data to inform projects’ engineering and operations concept decisions, describe the methodology for performing the assessments and how they fit into the overall mission lifecycle, outline lessons learned, and discuss successes of the PSTIA process. It will also describe the roadmap for the future of the PSTIAs at JPL and across NASA.
DOI: 10.48577/jpl.4w5pbz
title: Development of Spacecraft Molecular Accumulation and Contamination Kinetics Simulator (SMACKS)

description: The Near-Earth Object Surveyor (NEO Surveyor) mission is a 50 cm diameter infrared telescope capable of detecting asteroids which will help advance NASA’s planetary defense efforts to discover and characterize potentially hazardous near-earth objects in our solar system. As an infrared observatory, NEO Surveyor’s sensitive optical surfaces and radiators operate at temperatures &lt;60K, which can readily collect significant amounts of contamination and lead to performance degradation if not properly mitigated via material selection, bakeouts, thermal control and mechanical design. The most critical on-orbit portion of NEO Surveyor’s contamination control strategy is during the initial period after launch when surfaces are warmest, leading to the highest outgassing rates. After an initial decontamination period, the optics are cooled down to their cryogenic operational temperatures which leads to a highly transient thermal profile for both outgassing sources and sensitive surfaces. In order to model the contamination collection during this period, a novel Python-based contamination analysis tool entitled “Spacecraft Molecular Accumulation and Contamination Kinetics Simulator” (SMACKS) was developed and tested. This Python-based tool is an evolution of previous workbook-based models such as those applied to NASA’s Psyche and Lunar Gateway programs. Compared to earlier models which performed simplified steady state calculations with limited abilities to account for temperature-dependent outgassing rates, SMACKS allows for evaluation of fully transient thermal profiles, inclusion of detailed material outgassing data sets, and automated creation of results visualizations. In addition, the Python-based tool is more robust to user-error as it requires significantly fewer manual inputs and manual inspections/testing than the workbook models. This work describes the development, testing and application of SMACKS for the NEO Surveyor mission, and discusses future applications and enhancements of the code.
DOI: 10.48577/jpl.uhwikc
title: Intern Paper: ODTS for the Future Mars Relay and Navigation Constellation

description: The current Mars relay network (MRN), which utilizes the combination of NASA and ESA orbiters to transfer data from Mars surface assets, greatly contributed to the success of past scientific missions. However, these orbiters are now operating beyond primary design lifetimes, and were not principally designed for relay services. To enable future human exploration on Mars, it is necessary to develop a dedicated network of satellites that provide both communication relay and positioning, navigation, and timing (PNT) service in Mars' orbit and on its surface. Additionally, it is desirable to operate the constellation semi-autonomously and reduce reliance on the oversubscribed Deep Space Network (DSN). In the paper, we first address the design of the next-generation Mars constellation with a focus on the following three objectives: coverage between +-30 degrees latitude, communication data volume, and surface user PNT performance. Previous studies on Mars constellation design have addressed portions of these objectives, but none have addressed all of the three objectives simultaneously. To address this gap, our paper conducts an analysis on the coverage, communication data volume, and PNT performance for a notional constellation comprising five satellites: two orbiters at areostationary orbit and three orbiters in inclined repeating ground track orbits at lower altitudes. We propose a candidate constellation that can balance these three objectives effectively. We also analyze the sensitivity of altitude and inclinations of the inclined orbits to the three objectives. There is a trade-off because increasing the inclination enhances the navigation accuracy but reduces coverage, while increasing the altitude improves coverage but diminishes data volume. Second, we propose a semi-autonomous orbit determination and time synchronization (ODTS) framework for the MRN orbiters. Our proposed approach integrates three different methodologies: DSN tracking, inter-satellite links (ISLs), and links with a Mars surface station (MSS). The orbiters will utilize either dual one-way links or two-way radio-frequency or optical links to other orbiters and the MSSs to obtain range, range-rate, and bearing angle observables. Within this network connected by ISLs, the surface stations serve as anchor nodes since their position and clock offset are known very precisely. Therefore, this approach minimizes the use of DSN, limiting its monitoring to a portion of the network at shorter time windows. In this paper, we investigate two approaches for processing the obtained measurement data for semi-autonomous ODTS: 1) downlinking the collected ISL measurement data to MSS and processing them in batches, and 2) processing the measurements in a distributed manner at each node (orbiters and MSS). The first approach can provide a more accurate solution, while the latter approach can lower the communication burden. We demonstrate the effectiveness of the proposed ODTS approach in the proposed constellation in the first part of this paper.
DOI: 10.48577/jpl.amzlcn
title: The Optical Design of the Carbon Investigation (Carbon-I) Imaging Spectrometer

description: The proposed Carbon Investigation (Carbon-I) Imaging Spectrometer is designed to measure variations of greenhouse gases in the Earth’s atmosphere. The instrument will survey the Earth from its own spacecraft at an altitude of approximately 610km. It will use a course ground sampling distance (GSD) of &lt;400 m in global mode for land and coastal monitoring and a finer 35 m GSD in target mode to sample key regions from an altitude of approximately 610 km. The identification and quantification of greenhouse gases require continuous spectral sampling over the 2040-2380 nm wavelength range with &lt; 1nm spectral sampling. The proposed design builds upon Jet Propulsion Laboratory’s experience of development spaceflight Dyson imaging spectrometers to achieve spectral sampling of 0.7 nm per pixel. This paper presents the proposed Carbon-I optical design comprised of a freeform three-mirror anastigmat telescope that couples to a F/2.2 and highly uniform Dyson-inspired imaging spectrometer. This high uniformity and throughput enables Carbon-I to measure Earth’s greenhouse gas concentrations with unprecedented precision and spatial sampling.
DOI: 10.48577/jpl.ufcghq
title: 2025 IEEE Aerospace Conference Presentation: A Rapid, Low-Cost Path to Lunar Comm and Nav with a LSS

description: No abstract available.
DOI: 10.48577/jpl.ni0sqo
title: CloudSat - Dodging Weaving Orbital Debris

description: Satellites in Earth orbit face increasing threats from orbital debris. CloudSat operations at 705km required regular conjunction assessment screenings and risk mitigation maneuvers to avoid orbital debris. Following the failure of a reac-tion wheel CloudSat was maneuvered to a lower orbit, which presented a new environment for orbital debris mitigation. During the final months of the mis-sion CloudSat performed five risk mitigation maneuvers in five months, far ex-ceeding the cadence of risk mitigation maneuvers for the entire mission. This paper will discuss the history of CloudSat orbital debris mitigation measures over the life of the nearly eighteen-year mission.
DOI: 10.48577/jpl.snfibx
title: The JPL Snapdragon Co-Processor: A compact high-performance computer for spaceflight applications

description: Following in the footsteps of the resounding success of the Ingenuity Mars Helicopter which was powered by a Qualcomm® SnapdragonTM 801 system-on-chip (SoC), the Jet Propulsion Laboratory has continued its investments into high-performance spaceflight computers based on Qualcomm’s Snapdragon line of SoCs. One significant achievement of these efforts is the development of the JPL Snapdragon Co-Processor (SCP), a small form-factor computer for spaceflight applications featuring the automotive-grade Snapdragon SA8155P SoC. The technology readiness level (TRL) of the SCP was raised to TRL- 6 in January 2024. The SCP is currently being included in two upcoming CubeSat-based on-orbit technology demonstration missions and is under consideration as a computer vision processor for missions up to and including class-B.The Snapdragon SA8155P features an octa-core Arm® CPU cluster with four Cortex® A-76 and four Cortex A-55 cores, a graphics processing unit (GPU) capable of 898 GFLOPs (32-bit floating-point), and a cluster of 4 HexagonTM DSP cores. The SCP board is outfitted with 16 GB of RAM, 128 GB of non- volatile Flash memory, and 2 Mb FRAM. The external interfaces of the SCP are two USB 3.1 Gen2 ports, a 4x4 lane MIPI Camera Serial Interface connector, and a 200-pin space-grade mezzanine connector featuring three total PCI Express lanes, an RGMII interface to support Gigabit Ethernet, and low-speed UART, GPIO, JTAG, and SPI connections. To utilize the interfaces on the mezzanine connector, JPL has developed a variety of custom carrier cards for the SCP, ranging from the advanced and high- performance line of Swift Processor Modules to a dedicated SCP carrier card for CubeSat applications.In this paper, we present a detailed overview of the SCP design, its capabilities, and its interfaces to the spacecraft bus. We describe the available options to integrate the SCP into a space- craft using the currently available and in-development carrier boards as examples. We comment on the software support and past and future JPL software benchmarking and porting efforts. Finally, we comment on the TRL-6 test campaign and give a brief outlook of the future of the SCP for JPL missions and the wider spaceflight community.
DOI: 10.48577/jpl.lxg5jf
title: Goldstone Apple Valley Radio Telescope (GAVRT) Solar Patrol

description: No abstract available.
DOI: 10.48577/jpl.cpsmat
title: Pathfinding the Future of Spacecraft Protection with Project-Specific Threat Impact Assessments - presentation slides

description: No abstract available.
DOI: 10.48577/jpl.jibede
title: A Software Environment for Psyche Testbed Operation

description: No abstract available.
DOI: 10.48577/jpl.jz37ny
title: Assessing Science Robustness in Uncertain Environments: Application to a Uranus Flagship Mission

description: Spacecraft missions to previously unexplored bodies can face high uncertainty when defining their science investigations. This uncertainty presents a challenge for mission design and instrument concept of operations, which need to be optimized to meet the mission science objectives. Mission teams increasingly rely on uncertainty quantification to assess and mitigate the risks to space systems or mission-critical events. However, an end-to-end framework has yet to be developed that propagates uncertainty from science models to the measurements and mission design requirements to assist in designing robust concepts of operations. The proposed methodology develops a science systems engineering framework, integrating a science model with trajectory designs to compute quantitative science value metrics. The science model is established by identifying relevant physical models (governing equations and modeling assumptions) and input variables from the literature, simulation data, and past missions. Variables are defined with probability distributions and Monte Carlo simulations are run to quantify the uncertainties. For a given trajectory, the model outputs predictive probability distributions of the science value metrics, highlighting the trajectory’s science performance and its robustness to uncertainty in the physical process. The framework is applicable to any mission targeting highly dynamic and uncertain processes. This paper demonstrates its application to a future Uranus Flagship mission, focusing on magnetosphere science objectives. Listed as the highest priority Flagship mission by the latest Decadal Survey, a mission to the Uranian system aims to answer science questions regarding Uranus’s interior and atmosphere, its satellites and rings, and its magnetosphere. Analytic and numerical models have been developed to understand Uranus’ magnetosphere; however, significant uncertainties remain, leading to challenges when defining magnetosphere science investigations. By applying the proposed methodology, this paper shows a significant variation in predicted science metrics of interest (e.g., number of magnetopause crossings) that can be expected from similar trajectories due to varying environment conditions (solar wind and interplanetary magnetic field) or different arrival times at Uranus. These results should inform the flow-down of measurement requirements to mission design requirements for magnetosphere science.
DOI: 10.48577/jpl.0icmpf
title: Characterizing Ariel’s Possible Subsurface Ocean Using Magnetic Observations from a Multi-Flyby Uranus Mission Concept

description: No abstract available.
DOI: 10.48577/jpl.hbahlc
title: A Possibility of Europan Seafloor Volcanism Through Linear-Elastic Dike Propagation

description: No abstract available.