cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nrk75v
title: Occurrence Download

description: A dataset containing 396799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helminthostachys zeylanica, Ophioglossum reticulatum, Lindsaea ensifolia, Histiopteris incisa, Nephrolepis hirsutula, Xanthocyparis nootkatensis, Cupressus cashmeriana, Cupressus duclouxiana, Cupressus funebris, Cupressus chengiana, Cupressus dupreziana, Widdringtonia whytei, Callitris baileyi, Callitris neocaledonica, Callitris sulcata, Athrotaxis selaginoides, Athrotaxis laxifolia, Athrotaxis cupressoides, Larix kaempferi, Larix decidua, Larix laricina, Larix mastersiana, Larix potaninii, Larix griffithii, Larix occidentalis, Larix sibirica, Lagarostrobos franklinii, Microcachrys tetragona, Pherosphaera hookeriana, Psilotum nudum, Microlaena stipoides, Chordifex sphacelatus, Lepidobolus chaetocephalus, Calorophus erostris, Desmocladus myriocladus, Desmocladus parthenicus, Desmocladus fasciculatus, Schoenus subflavus, Schoenus racemosus, Schoenus subfascicularis, Schoenus pleiostemoneus, Schoenus brevisetis, Schoenus curvifolius, Gahnia ancistrophylla, Gahnia australis, Carpha curvata, Carpha rodwayi, Caustis dioica, Rhynchospora corymbosa, Lepidosperma leptostachyum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 396799 records from 1504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003843-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u687ep
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Strabomantis helonotus"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006270-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bq8e26
title: Occurrence Download

description: A dataset containing 1287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (7b4f2f30-a456-11d9-8049-b8a03c50a862, 0363cbd4-f666-455e-8e86-0bbddcf51950, cb202839-87c6-456a-821c-dc5b268a200f, 8209258a-80e8-4094-aba2-a3febe5ed45b, 823818f6-0696-4e29-bc4c-b6f3817535a7, b934f398-a2df-412c-bde2-de176590bc73)",
 "TaxonKey is Senecio inaequidens"
 ]
}

 The dataset includes 1287 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006271-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25505/fiz.icsd.cc2j3hsy
title: CSD 2327070: Experimental Crystal Structure Determination

description: Related Article: Jun Min Seo, Hongil Jo, Myung Ho Choi, Kang Min Ok, Hong Young Chang, Sun Woo Kim|2024|Crystals|14|197|doi:10.3390/cryst14020197
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.44cxv8
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2480283 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2480283 OR CAST(occurrence.kingdomkey AS INTEGER) = 2480283 OR CAST(occurrence.phylumkey AS INTEGER) = 2480283 OR CAST(occurrence.classkey AS INTEGER) = 2480283 OR CAST(occurrence.orderkey AS INTEGER) = 2480283 OR CAST(occurrence.familykey AS INTEGER) = 2480283 OR CAST(occurrence.genuskey AS INTEGER) = 2480283 OR CAST(occurrence.specieskey AS INTEGER) = 2480283)
 AND (occurrence."year" &gt;= 2010 AND occurrence."year" &lt;= 2010)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 1 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006261-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezvcq9
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Cavia tschudii"
 ]
}

 The dataset includes 37 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006272-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8rzuy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON ((-119.4801 34.9466, -119.4795 34.94667, -119.4794 34.94697, -119.4794 34.94725, -119.4796 34.94758, -119.4797 34.94761, -119.4798 34.94765, -119.4799 34.94771, -119.4801 34.94773, -119.4801 34.94752, -119.4806 34.94737, -119.4804 34.94666, -119.4801 34.9466))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006274-251120083545085/datasets/export for details.
DOI: 10.48577/jpl.jhdsho
title: Solar Induced Fluorescence as an Application Ready Early Warning Indicator of Flash Drought

description: Flash drought has garnered major attention due to its devastating impact on both agricultural and ecological systems impacting production and income for producers, due to its rapid onset nature, and poor predictability. Solar induced fluorescence (SIF) is an increasingly well-known and reliable indicator of vegetation health which captures rapid changes in how plants absorb and use light under stress. Recent efforts leveraging machine learning (ML) trained on spaceborne SIF and vegetation data from other sensors are producing seamless maps of SIF at spatial resolutions (~5 km) aligned with land management needs. Three recent studies, Mohammadi et al. (2022, https://doi.org/10.1073/pnas.2202767119), Parazoo et al. (2024, https://doi.org/10.1029/2024GL108310), and Behera et al. (2025, https://doi.org/10.1029/2024GL113419), directly show the value of SIF as an early indicator of flash drought. The growing literature connecting SIF to vegetation stress across a range of ecosystems highlights the immediate value of SIF to facilitate agricultural, rangeland, and forestry management. Through advanced studies and calibration, we contend that SIF-based data products are ready to move from research to operations. To utilize high resolution (5 km) and low-latency (1 week – 2 months) SIF mapping for regional- to global- scale drought monitoring, there are several current efforts to prepare SIF data for immediate use by the drought monitoring community including the U.S. Drought Monitor.
DOI: 10.48577/jpl.y4yv2w
title: Operational Results from the Deep Space Optical Communications (DSOC) Project Ground Laser Transmitter

description: The purpose of the Deep Space Optical Communication (DSOC) project is to demonstrate that free space optical communication technology is mature and capable ofsupporting future deep space missions. Free space optical communications can provide 10-100x higher data rates as compared to RF technology at Mars distances. In addition, the DSOC team characterized the link budget at Mars ranges (0.3-2.6 AU) demonstrating up to 267 Mbps downlink data rates.DSOC operations began two weeks after the flight terminal hosted by the Psyche spacecraft launched October 2023. Weekly contacts between the two optical ground stations and the flight terminal aboard Psyche are on-going until the DSOC prime mission endsSeptember 2025. This paper provides an overview of the DSOC architecture, the two ground station terminals design, operations, and focusing on ground transmitter tests.
DOI: 10.48577/jpl.pebnhv
title: Research Note of AAS on Atlas COmet

description: The Europa Clipper spacecraft is located about 1 au downstream from the interstellar comet 3I/ATLAS around its perihelion. Here we model the propagation of pickup ions and cometary dust originating from 3I/ATLAS to examine their detectability by the Europa Clipper spacecraft. Our results suggest that while pick up detection is possible, the dust tail will not reach the Clipper spacecraft, Mars, nor the Jovian system.
DOI: 10.48577/jpl.kcyl8j
title: Predicting and correcting the influence of boundary conditions in regional inverse analyses

description: Regional inverse analyses of atmospheric trace gas observations quantify gridded two-dimensional surface fluxes by fitting the observations to simulated concentrations from a chemical transport model (CTM), usually by Bayesian optimization regularized by a gridded prior flux estimates. Regional inversions rely on the specification of background concentrations given by the boundary conditions (BCs) at the edges of the inversion domain, but biases in the BCs propagate to biases in the optimized fluxes. We develop a theoretical framework to explain how errors in the BCs influence the optimized fluxes as a function of the prior and observing system error statistics and of CTM transport. We derive a preview metric to estimate the BC-induced errors before conducting an inversion to support domain specification and a diagnostic metric to accurately quantify these errors after solving the inversion. We compare two methods to correct BC biases as part of an inversion, either directly by optimizing BC concentrations (boundary method) or indirectly by correcting grid cell fluxes outside the domain of interest (buffer method). We demonstrate that the boundary method is generally more accurate, physically grounded, and computationally tractable.
DOI: 10.48577/jpl.3auuel
title: GNSS-R Coherence Inversion for Land Surface Roughness and Vegetation Parameter Retrievals

description: Understanding land surface properties from space remains a key challenge in microwave remote sensing due to the heterogeneous nature of soil, vegetation, and terrain. This study presents a novel retrieval framework that uses GNSS reflectometry (GNSS-R) coherence time metrics from Soil Moisture Active Passive-Reflectometry (SMAP-R) data to characterize global surface roughness and vegetation parameters. By analyzing the decay of signal-to-noise ratio (SNR) across varying coherent integration times, we estimate temporal coherence time (τ_c) and derive surface roughness (σ) without ancillary topographic data. A polarization mixing parameter (P_mix), computed from the degree of polarization (DoP), s used to estimate the polarization decoupling factor (Q) consistent with SMAP models. These variables feed into a τ-ω radiative transfer model to retrieve vegetation optical depth (τ) and single-scattering albedo (ω) directly from observations. The resulting global maps of σ, Q, τ, and ω show enhanced spatial structure and biome sensitivity compared to SMAP’s static ancillary inputs. To evaluate the impact of the new vegetation parameters, we apply a neural network trained on SMAP data to retrieve soil moisture using both the original and derived VOD inputs. Differences in soil moisture are spatially coherent and physically consistent, with lower values in high-biomass regions and improved retrieval in arid zones. This work demonstrates that GNSS-R coherence metrics can be integrated with L-band radiometry to produce observation-driven land surface parameters. The approach reduces dependence on empirical or static climatological inputs and supports improved soil moisture retrievals from passive microwave missions.
DOI: 10.48577/jpl.jxc3zq
title: Second-order velocity structure functions at submesoscales

description: Observations of ocean surface currents from the JPL Doppler Scatterometer (DopplerScatt) during the S-MODE campaignsreveal unexpectedly shallow second-order velocity structure function (SF) slopes at submesoscale separation scales (𝑟 &lt; 10 km), deviatingfrom classical turbulence theory and prior modeling results. This discrepancy suggests missing physics in current submesoscale-resolvingnumerical ocean models or an incomplete interpretation of the DopplerScatt observations. To investigate this, we analyze high-resolutionRegional Ocean Modeling System (ROMS) simulations across a range of configurations that isolate the influence of model resolution,season, high-frequency forcings, and surface gravity wave effects on currents. We find that high-frequency motions associated withnear-inertial waves reduce the transverse SF amplitude, driving the ratio of longitudinal to transverse SFs close to unity at submesoscalesindependently of the season. Additionally, the inclusion of wave-current interactions, often omitted in standard submesoscale-resolvingmodels, can produce energetic small-scale motions, leading to broadband shallow structure function slopes. These results reveal a broadermechanism by which shallow structure function slopes can emerge: any process that injects kinetic energy at small scales over a narrowrange of wavenumbers will appear broadband in structure function space and produce shallow scalings. Wave effects are one such candidateand offer a plausible interpretation of the DopplerScatt observations under energetic wave conditions. However, under low wave conditions,other processes with similar spectral characteristics are required to account for the observed shallowness. Finally, the relatively largetransverse-to-longitudinal SF ratio in DopplerScatt may reflect its lateral averaging over part of an inertial period, a sampling strategy notreplicated in models and warranting further study.
DOI: 10.48577/jpl.ekdw2j
title: Modeling, Prediction, and Retrieval of Surface Soil Moisture from InSAR Closure Phase

description: We present a discretized, multi-layer soil moisture model that links soil moisture variability to single-look SAR measurements. Our model reveals distinct closure phase signatures arising from variation of soil moisture, radar frequencies, and soil textures. Specifically, our model predicts that positive asymmetric soil moisture anomalies produce positive closure phase step-changes, and negative asymmetric anomalies yield negative closure phase step-changes, consistent with observed data. In addition, our analysis shows that low-frequency radar (e.g., L-band) exhibits heightened sensitivity to the vertical distribution of soil moisture. We introduce a scalable algorithm for retrieving the InSAR Soil Moisture Index. We demonstrate the retrieval algorithm in two diverse environments: the Mojave desert and the Central Valley in California. Good agreements between the derived InSAR Soil Moisture Index, in situ soil moisture measurements, and SMAP/Sentinel-1 soil moisture measurements highlight the potential for large-scale soil moisture monitoring using InSAR closure phase.
DOI: 10.48577/jpl.p7si5l
title: Probing Jupiter’s Atmosphere through Juno Radio Occultations: Analysis of the Atmospheric Thermal Structure

description: The upper layers of Jupiter’s atmosphere, offering critical insights into the planet’s deeper structure, are accessible through radio occultation experiments. Since July 2023, NASA’s Juno extended mission has provided the first high resolution radio occultation measurements since the Voyager era, probing the thermal structure and composition down to approximately 0.5 bar. We use these measurements to study Jupiter’s latitudinally dependent vertical thermal structure. We observe cooler stratospheric and warmer tropospheric temperatures at the equatorial region compared to mid- and high-latitudes, and temporal variations in the North Equatorial Belt’s thermal structure on a time scale of a few months. These observations align with mid-infrared data from Cassini’s CIRS and ground-based current TEXES observations, as well as previous studies based on Voyager radio occultations and the Galileo probe, offering a robust view of Jupiter’s lower stratosphere and upper troposphere thermal structure.
DOI: 10.48577/jpl.okhvga
title: ALMAGAL V. Relations between the core populations and the parent clump physical properties

description: Context. The fragmentation of massive molecular clumps into smaller, potentially star-forming cores plays a key role in the processes of high- mass star formation. The ALMAGAL project, using the Atacama Large Millimeter/submillimeter Array (ALMA), oﬀers high-resolution data to investigate these processes across various evolutionary stages in the Galactic plane. Aims. This study aims at correlating the fragmentation properties of massive clumps, obtained from ALMA observations, with their global physical parameters (e.g., mass, surface density, and temperature) and evolutionary indicators (such as luminosity-to-mass ratio and bolometric temperature) obtained from Herschel observations. It seeks to assess whether the cores evolve in number and mass in tandem with their host clumps, and to determine the possible factors influencing the formation of massive cores (M &gt;24M⊙). Methods. We analyzed the masses of 6348 fragments, estimated from 1.4 mm continuum data for 1007 ALMAGAL clumps. Leveraging this unprecedentedly large data set, we evaluated statistical relationships between clump parameters, estimated over∼0.1 pc scales, and fragment properties, corresponding to scales of a few 1000 au, while accounting for potential biases related to distance and observational resolution. Our results were further compared with predictions from numerical simulations. Results. The fragmentation level correlates preferentially with clump surface density, supporting a scenario of density-driven fragmentation, whereas it does not show any clear dependence on total clump mass. Both the mass of the most massive core and the core formation eﬃciency show a broad range and increase on average by an order of magnitude in the intervals spanned by evolutionary indicators such as clump dust temperature and the luminosity-to-mass ratio. This suggests that core growth continues throughout the clump evolution, favoring clump-fed over core-fed theoretical scenarios. However, significant scatter in these relationships indicates that multiple factors, including magnetic fields, turbulence, and stellar feedback, not quantifiable with continuum data, influence fragmentation, as also suggested by comparison with numerical simulations.
DOI: 10.48577/jpl.tu9tyl
title: The size and shape of Jupiter

description: Jupiter, the fastest-rotating planet in the Solar System, exhibits a pronounced equatorial bulge, with its equatorial radius exceeding the polar radius by approximately 7%. This oblate shape reflects the combined effects of rapid rotation, complex internal structure, and atmospheric winds. Existing estimates of Jupiter’s shape, with uncertainties of about 4 km, are based on a single analysis of Voyager and Pioneer radio occultations from nearly five decades ago and do not account for the influence of Jupiter’s strong winds. The Juno spacecraft has recently returned numerous high-precision radio-occultation measurements, enabling a more accurate determination. Incorporating the effects of zonal winds, we derive Jupiter’s shape with an order-of-magnitude reduction in uncertainty. At the 1-bar pressure level, we find a polar radius of 66,842±0.4 km, an equatorial radius of 71,488 ±0.4 km, and a mean radius of 69,886 ± 0.4 km, which are 12 km, 4 km, and 8 km smaller than previous estimates, respectively. The results indicate that winds above the visible cloud tops are largely barotropic, showing minimal vertical variation. The updated shape has important implications for interior structure models, supporting a metal-enriched and cooler atmosphere, thereby helping reconcile discrepancies between models, Galileo probe measurements, and Voyager-derived temperatures. The refined radius profile also improves spatial referencing for pressure-dependent measurements, offering a more precise context for interpreting Jupiter’s atmospheric dynamics.
DOI: 10.48577/jpl.fw5kz3
title: Spectral Calibration of the Microwave Electrojet Magnetogram Radiometer Instrument on the Electrojet Zeeman Imaging Explorer Mission

description: The EZIE mission is a first of its kind to measure the temporal and spatial characteristics of Earth’s ionospheric auroral electrojet currents remotely using a mm-wave radiometer called the Microwave Electrojet Magnetogram (MEM). EZIE measures the 118GHz oxygen emission line that splits in frequency in the presence of a magnetic field. This effect is known as the Zeeman effect. From these measurements of the 50 km spatial resolution magnetic fields at 80 km altitude the ionospheric currents that caused them can be calculated. The EZIE mission consists of three MEM payloads on three spacecrafts, each MEM contains four polarimetric radiometer receivers with a polyphase filter bank spectrometer. MEM can indirectly measure magnetic field strength and direction. In this paper we present the unique calibration design of the MEM payload that does not include any internal or external calibration sources. We discuss the MEM payload and present results from pre-launch testing and calibration of the MEM system.
DOI: 10.48577/jpl.8s6gka
title: Probing Jupiter’s Atmosphere through Juno Radio Occultations: Methodology and Initial Observations

description: This paper presents an analysis of Juno’s first radio occultation experiments. Relying on two-way radio links in the X- and Ka-bands, we processed data from NASA’s Deep Space Network antennas through a ray-tracing inversion algorithm. By effectively isolating dispersive effects, we obtained measurements of the neutral atmosphere’s characteristics. This enabled the derivation of pressure and temperature profiles from the recorded frequencies. These results complement prior data from Voyager occultations and CIRS observations, providing valuable contributions to our understanding of Jupiter’s atmospheric dynamics.