cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.9w7hbu
title: Planetary waves can activate resonant drag instabilities in 3D dusty gaseous discs

description: Resonant Drag Instabilities (RDIs) in protoplanetary discs are driven by the aerodynamic back-reaction of dust on gas and occur when the relative dust-gas motion resonate with a wave mode intrinsic to the gas fluid. Axisymmetric models indicate that the RDI generates filamentary perturbations, leading to grain clumping and planetesimal formation. Motivated by these findings, we investigate the dust-gas interaction in a non-axisymmetric inviscid protoplanetary disc with an embedded low-mass planet (𝑀p ∈ [0.3, 3]𝑀⊕, here 𝑀⊕ is the Earth mass).We conduct global 3D high-resolution two-fluid simulations, with the dust being parametrized by the Stokes number St ∈ [0.01, 0.5]. We find that planetary waves (PWs; also known as Rossby waves), which propagate along the downstream separatrices of the horseshoe region, resonate with the streaming motion and trigger the RDI. The consequent development of a global-scale filamentary dust distribution does not sensitively depend on the Stokes number, nor does it depend on the fast dust settling that takes place in an inviscid disc. The rapid onset of this instability, which is comparable to the dynamical orbital time-scale, suppresses the formation of asymmetric structures in the dust in the vicinity of the planet (such as dust voids and filaments). Additionally, we find that the dust feedback enables buoyancy resonances in an otherwise non-buoyant (globally isothermal) disc. Therefore, our results provide the first numerical evidence of RDIs generation driven by planetary waves.
DOI: 10.15468/dl.8dnzpf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "Geometry POLYGON((-20.84062 21.98625,66.84062 21.98625,66.84062 57.01375,-20.84062 57.01375,-20.84062 21.98625))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis capaccinii",
 "Year 1970-2020"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011496-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfpd3x
title: Occurrence Download

description: A dataset containing 3144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jurinea cyanoides"
 ]
}

 The dataset includes 3144 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011497-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.yhccew
title: Role of Diffusive and Non-Diffusive Grain-Surface Processes in Cold Cores: Insights from the PEGASIS Three-Phase Astrochemical Model

description: Context. Cold, dense cores are unique among structures found in the interstellar medium, as they harbor a rich chemical inventory, including complex organic molecules (COMs), which future evolutionary stages, such as protostellar envelopes and protoplanetary disks, will inherit. These molecules exist both in the gas phase and as ices accreted onto grain surfaces. Aims. To model these environments, we present Pegasis: a new, fast, and extensible three-phase astrochemical code designed to explore the chemistry of cold cores, with an emphasis on the role of diﬀusive and nondiﬀusive chemistry in shaping their gas and grain chemical compositions. Methods. We incorporate the latest developments in interstellar chemistry modeling by utilizing the 2024 Kinetic Database for Astrochemistry (KIDA) chemical network and comparing our results with current state-of-the-art astrochemical models. Using a traditional rate-equation-based approach, we implement both diﬀusive and nondiﬀusive chemistry, coupled with either an inert or a chemically active ice mantle. Results. We identify crucial reactions that enhance the production of COMs through nondiﬀusive mechanisms on the grain surface, as well as the mechanisms through which they can accumulate in the gas phase. Across all models with nondiﬀusive chemistry, we observe a clear enhancement in the concentration of COMs on both the grain surface and in the grain mantle. Finally, our model broadly reproduces the observed abundances of multiple gas-phase species for the Taurus Molecular Cloud (TMC-1) and provides insights into its chemical age. Conclusions. Our work demonstrates the capabilities of Pegasis in exploring a wide range of grain surface chemical processes and modeling approaches for three-phase chemistry in the interstellar medium, providing robust explanations for observed abundances in cold cores, such as TMC-1 (CP). In particular, it highlights the role of nondiﬀusive chemistry in the production of gas-phase COMs on grain surfaces, which are subsequently chemically desorbed, especially when the precursors involved in their formation on the surfaces are heavier than atomic hydrogen.
DOI: 10.48577/jpl.4zzyag
title: Design, Assembly, and Test of Roman Coronagraph Deformable Mirrors.

description: Deformable mirrors are a key enabling subsystem inside any coronagraph with active wavefront control. The Roman Space Telescope Coronagraph Instrument, a first-of-its-kind spaceflight coronagraph which has recently, successfully demonstrated performance at required levels in its ground-based testing campaign, features two deformable mirrors as part of its active wavefront control architecture. This manuscript provides an overview of the design of these two mirrors as well as a detailed description of tests and performance data, including electrical risk reduction measurements, stroke assessment, self-flattening capability, actuator hysteresis, thermal sensitivity, moisture-dependent surface figure error, and drift under an applied voltage.
DOI: 10.48577/jpl.ommbyo
title: Simulating Science Operations for a Coordinated Rover-Helicopter Mission Architecture in a Mars Analogue Setting

description: Aerial platforms can extend and enhance exploration of planetary surfaces without the mobility limitations of rovers and landers. Inspired by the recent success and challenges of NASA’s Ingenuity Mars Helicopter, the Rover-Aerial Vehicle Exploration Network project sought to explore operational strategies, particularly the balance of shared resources, and the science value of a dual rover-helicopter mission architecture. A remote science operations team carried out a five-day-long Mars mission simulation executed by a field team in the Rainbow Basin Natural Area near Barstow, California, USA. The simulation demonstrated the rover’s ability to collect nested, progressively more detailed, specifically targeted image and compositional observations with a complementary multi-instrument payload. The helicopter, meanwhile, excelled at the collection of extensive image surveys providing views of diverse terrains and geologic units within the exploration area otherwise inaccessible to the rover. Of the data acquired by the helicopter, oblique images acquired ~5 m above ground level proved to be the most useful from a science and strategic operational planning perspective. The dual mission architecture had clear science advantages over individual rover or helicopter missions but sharing daily data downlink between the mission elements presented one of the greatest operational challenges during the simulation. Rover operations demanded daily, “reactive” tactical planning and rapid downlink of science data to enable targeting and traverse decisions, while the helicopter was best suited to a “predictive” advanced planning timeline for operations, data volume management, and science analysis.
DOI: 10.48577/jpl.ykhbsi
title: Role of diffusive and nondiffusive grain-surface processes in cold cores: Insights from the PEGASIS three-phase astrochemical model

description: Context. Cold, dense cores are unique among structures found in the interstellar medium, as they harbor a rich chemical inventory, including complex organic molecules (COMs), which future evolutionary stages, such as protostellar envelopes and protoplanetary disks, will inherit. These molecules exist both in the gas phase and as ices accreted onto grain surfaces. Aims. To model these environments, we present Pegasis: a new, fast, and extensible three-phase astrochemical code designed to explore the chemistry of cold cores, with an emphasis on the role of di usive and nondi usive chemistry in shaping their gas and grain chemical compositions. Methods. We incorporate the latest developments in interstellar chemistry modeling by utilizing the 2024 Kinetic Database for Astrochemistry (KIDA) chemical network and comparing our results with current state-of-the-art astrochemical models. Using a traditional rate-equation-based approach, we implement both di usive and nondi usive chemistry, coupled with either an inert or a chemically active ice mantle. Results. We identify crucial reactions that enhance the production of COMs through nondi usive mechanisms on the grain surface, as well as the mechanisms through which they can accumulate in the gas phase. Across all models with nondi usive chemistry, we observe a clear enhancement in the concentration of COMs on both the grain surface and in the grain mantle. Finally, our model broadly reproduces the observed abundances of multiple gas-phase species for the Taurus Molecular Cloud (TMC-1) and provides insights into its chemical age. Conclusions. Our work demonstrates the capabilities of Pegasis in exploring a wide range of grain surface chemical processes and modeling approaches for three-phase chemistry in the interstellar medium, providing robust explanations for observed abundances in cold cores, such as TMC-1 (CP). In particular, it highlights the role of nondi usive chemistry in the production of gas-phase COMs on grain surfaces, which are subsequently chemically desorbed, especially when the precursors involved in their formation on the surfaces are heavier than atomic hydrogen.
DOI: 10.48577/jpl.ywam3w
title: Analysis of WISPR Images of the Near-Sun Heliospheric Current Sheet Region from Parker Solar Probe Encounters 4 and 5 and Comparison with the in-situ Observations

description: We present an analysis of Wide-field Imager for Solar PRobe (WISPR) images of the near-Sun Heliospheric Current Sheet (HCS) region from Parker Solar Probe (PSP) in January and June 2020. Previous analysis of the solar wind data from PSP’s in-situ instruments for these periods had shown multiple signatures of magnetic reconnection during HCS encounters (Phan et al., 2021). The signatures, including field-line disconnections, density enhancements, and reconnection flows, indicated that reconnection was nearly always active in the HCS near the Sun. Here we present an analysis of WISPR white-light observations of the HCS region during the same time periods using an image processing technique that enhances changes in the images from frame to frame. This processing reveals the presence of a nearly continual stream of transient density enhancements (“blobs”) within the helmet streamer flow not evident in the standard calibrated-brightness images. The blobs observed frequently in helmet streamer flows by white light imagers, are broadly interpreted as resulting from reconnection in the vicinity of the HCS. Thus, the WISPR observations are consistent with the in-situ data finding that reconnection is almost always active in the HCS near the Sun. We use the Tracking and Fitting technique (Liewer2020, Liewer2022} to determine the trajectory and size of a few more distinct blobs. We confirm that the blobs lie near the HCS and find that the size of the imaged blobs is similar to the size estimates for possible blobs seen in situ in the HCS at similar distance from the Sun (Phan et al., 2021).
DOI: 10.48577/jpl.vweccz
title: Quantifying Marine Carbon Dioxide Removal via Alkalinity Enhancement Across Circulation Regimes Using ECCO-Darwin and 1D Models

description: As a marine Carbon Dioxide Removal (mCDR) approach, Ocean Alkalinity Enhancement (OAE) is emerging as a viable method for removing anthropogenic \cotwo\ emissions from the atmosphere to mitigate climate change. To achieve substantial carbon reduction using this method, OAE would need to be widespread and scaled-up across the global ocean. However, the efficiency of OAE varies substantially across a range of space-time scales and as such field deployments must be carefully planned to maximize efficiency and minimize logistical costs and risks. Here we develop a mCDR efficiency framework based on the data-assimilative ECCO-Darwin ocean biogeochemistry model, which examines two key factors over seasonal to multi-decadal timescales: 1) mCDR potential, which quantifies the \cotwo\ solubility of the upper ocean; and 2) dynamical mCDR efficiency, representing the full-depth impact of ocean advection, mixing, and air-sea \cotwo\ exchange. To isolate and quantify the factors that determine dynamical efficiency, we develop a reduced complexity 1-D model, rapid-mCDR, as a computationally-efficient tool for evaluation of mCDR efficiency. Combining the rapid-mCDR model with ECCO-Darwin allows for rapid characterization of OAE efficiency at any location globally. This research contributes to our understanding and optimization of OAE deployments (i.e., deploying experiments in the real-world ocean) as an effective mCDR strategy and elucidates the regional differences and mechanistic processes that impact mCDR efficiency. The modeling tools developed in this study can be readily employed by research teams and industry to plan and complement future field deployments and provide essential Monitoring, Reporting, and Verification (MRV).
DOI: 10.48577/jpl.mrdwpd
title: AI Space Cortex: An Experimental System for Space Exploration, Capable of Fault Detection, Self-repair, and Autonomous, Personality-Driven Scientific Discovery

description: Our Robust, Explainable Autonomy for Scien- tific Icy Moon Operations (REASIMO) effort contributes to NASA’s COLDTech program, which explores science platform technologies for icy worlds such as Europa and Enceladus. Icy world missions pose significant operational challenges – long communications lags, limited power, and lifetime limi- tations caused by radiation damage and hostile conditions. Onboard autonomy will be vital for future missions operat- ing under these constraints. Our effort focuses on advancing autonomous behaviors for robotic sampling systems that collect and transfer material samples to in-situ scientific instruments and communicate results back to Earth – all in environments whose conditions are poorly understood in advance. A further challenge for their autonomy is to react appropriately in the event of anomalies (faults or unanticipated circumstances). Traditional spacecraft rely on a transition into ’safe-mode’ in which non-essential components and subsystems are powered off to preserve safety and maintain communication with Earth. For a severely time-limited icy world mission, its significant delays from communication limitations would cause waiting for Earth-in-the-loop resolutions to drastically reduce its science effectiveness. REASIMO aims to demonstrate a flight-qualifiable level of autonomy for such missions, including the ability to detect and recover from anomalies autonomously. To address these challenges, our REASIMO effort developed an intelligent framework for control of an icy-world mission, combining a mix of advanced technologies and demonstrating them both in software simulation, and on a robotic arm in a laboratory testbed approximating possible surface conditions such a mission might encounter.
DOI: 10.11583/dtu.29046482
title: Long-range pulsed lidar data from the Balconies experiment, phase 1, installed in the northern met-mast, westerlies

description: Database file containing data collected during in the Balconies experiment by a long-range pulsed lidar, installed at 50 m.a.g.l. in the northern mast at the Østerild Test Centre, Denmark.Details of the Balconies experiment can be found in doi :10.1088/1742-6596/1037/5/052029<br>The database consists of two tables:Table_raw: raw lidar scansTable_fil: filtered lidar scans using the methodology described in doi :10.5194/amt-13-6237-2020.Both tables contain the following columns,'name': TEXT containing the date of the measurement'scan': BIGINT scan number covering a complete azimuthal swept of 90 degrees. It starts at 0.'index': BIGINT, row index'start_id': BIGINT parameter of the windscanner file storing system.'stop_id': BIGINT parameter of the windscanner file storing system.'start_time': FLOAT start time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'stop_time': FLOAT stop time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'azim': FLOAT azimuth angle of the line-of-sight measurements in degrees.'elev': FLOAT elevation angle of the line-of-sight measurements in degrees.'range_gate_NN': BIGINT distance between lidar and center of range gate, in meters. NN identifier goes form 0 to 197.'ws_NN': FLOAT line-of-sight wind speed meters per second at the center of the range gate. Negative values indicate the wind is blowing towards the lidar. NN identifier goes form 0 to 197.'CNR_NN': FLOAT Carrier-to-noise ratio at the center of the range gate, in dB. NN identifier goes form 0 to 197.'Sb_NN' : FLOAT Spectral broadening at the center of the range gate, in meters per second. NN identifier goes form 0 to 197.This version 2 of the dataset fix a typo in the metadata file and the description in the previous version:version 1:<br>- name: scan<br>- description: scan number covering a complete azimuthal swept of 45 degrees. It starts at 0.version 2, corrected:<br>- name: scan<br>- description: scan number covering a complete azimuthal swept of 90 degrees. It starts at 0.
DOI: 10.11583/dtu.29046482.v1
title: Long-range pulsed lidar data from the Balconies experiment, phase 1, installed in the northern met-mast, westerlies

description: Database file containing data collected during in the Balconies experiment by a long-range pulsed lidar, installed at 50 m.a.g.l. in the northern mast at the Østerild Test Centre, Denmark.Details of the Balconies experiment cna be found in doi :10.1088/1742-6596/1037/5/052029<br>The database consists of two tables:Table_raw: raw lidar scansTable_fil: filtered lidar scans using the methodology described in doi :10.5194/amt-13-6237-2020.Both tables contain the following columns,'name': TEXT containing the date of the measurement'scan': BIGINT scan number covering a complete azimuthal swept of 45 degrees. It starts at 0.'index': BIGINT, row index'start_id': BIGINT parameter of the windscanner file storing system.'stop_id': BIGINT parameter of the windscanner file storing system.'start_time': FLOAT start time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'stop_time': FLOAT stop time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'azim': FLOAT azimuth angle of the line-of-sight measurements in degrees.'elev': FLOAT elevation angle of the line-of-sight measurements in degrees.'range_gate_NN': BIGINT distance between lidar and center of range gate, in meters. NN identifier goes form 0 to 197.'ws_NN': FLOAT line-of-sight wind speed meters per second at the center of the range gate. Negative values indicate the wind is blowing towards the lidar. NN identifier goes form 0 to 197.'CNR_NN': FLOAT Carrier-to-noise ratio at the center of the range gate, in dB. NN identifier goes form 0 to 197.'Sb_NN' : FLOAT Spectral broadening at the center of the range gate, in meters per second. NN identifier goes form 0 to 197.
DOI: 10.11583/dtu.29046482.v2
title: Long-range pulsed lidar data from the Balconies experiment, phase 1, installed in the northern met-mast, westerlies

description: Database file containing data collected during in the Balconies experiment by a long-range pulsed lidar, installed at 50 m.a.g.l. in the northern mast at the Østerild Test Centre, Denmark.Details of the Balconies experiment can be found in doi :10.1088/1742-6596/1037/5/052029<br>The database consists of two tables:Table_raw: raw lidar scansTable_fil: filtered lidar scans using the methodology described in doi :10.5194/amt-13-6237-2020.Both tables contain the following columns,'name': TEXT containing the date of the measurement'scan': BIGINT scan number covering a complete azimuthal swept of 90 degrees. It starts at 0.'index': BIGINT, row index'start_id': BIGINT parameter of the windscanner file storing system.'stop_id': BIGINT parameter of the windscanner file storing system.'start_time': FLOAT start time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'stop_time': FLOAT stop time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'azim': FLOAT azimuth angle of the line-of-sight measurements in degrees.'elev': FLOAT elevation angle of the line-of-sight measurements in degrees.'range_gate_NN': BIGINT distance between lidar and center of range gate, in meters. NN identifier goes form 0 to 197.'ws_NN': FLOAT line-of-sight wind speed meters per second at the center of the range gate. Negative values indicate the wind is blowing towards the lidar. NN identifier goes form 0 to 197.'CNR_NN': FLOAT Carrier-to-noise ratio at the center of the range gate, in dB. NN identifier goes form 0 to 197.'Sb_NN' : FLOAT Spectral broadening at the center of the range gate, in meters per second. NN identifier goes form 0 to 197.This version 2 of the dataset fix a typo in the metadata file and the description in the previous version:version 1:<br>- name: scan<br>- description: scan number covering a complete azimuthal swept of 45 degrees. It starts at 0.version 2, corrected:<br>- name: scan<br>- description: scan number covering a complete azimuthal swept of 90 degrees. It starts at 0.
DOI: 10.48577/jpl.zumwwc
title: Comparison of In Situ and Remotely Sensed Leaf Area Index of Northeastern American Deciduous, Mixed, and Coniferous Forests for SMAPVEX19-22

description: Leaf Area Index (LAI) is a critical ecological parameter for quantifying the foliage density in forest ecosystems. As such it may also be effective for estimating the amount of leafy vegetation blocking sensor signals, like the radiometer on board NASA’s Soil Moisture Active Passive (SMAP) satellite, from reaching the ground surface. This study presents a comprehensive comparative analysis of LAI measurements acquired through in situ and remotely sensed (RS) methods in diverse forest ecosystems of northeastern America, including deciduous, mixed, and coniferous forests. We compare RS and ground-truth LAI data to understand the variation between the RS LAI products, the impacts of RS spatial resolution on analysis, and the effect of seasonality on both the RS and in situ data. We find strong (R2 &gt; 0.83) positive relationships between in situ LAI and the tested RS products, with improved positive relationships (R2 &gt; 0.92) for higher spatial resolution (&lt;30m) RS LAI products. We also discuss considerations for the LAI algorithms. Smaller slopes for the higher resolution RS products (slope &lt; 0.96) relative to the lower resolution products (slope &gt; 1.16) could potentially indicate limitations of the RS LAI algorithms for dense forests. Smaller y-intercept values (&lt; -0.56) associated with the high resolution products relative to the lower resolution products (&gt; -0.29) could indicate greater influence of woody biomass on high resolution RS LAI algorithms relative to low resolution RS LAI algorithms.
DOI: 10.48577/jpl.w6gvym
title: Learning New Laboratories

description: No abstract available.