cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.2kcyeb
title: Analysis of Habitability and Stellar Habitable Zones from Ob- 2 served Exoplanets

description: The investigation of exoplanetary habitability is integral to advancing our knowledge of 12 extraterrestrial life potential and detailing the environmental conditions of distant worlds. In this 13 analysis, we explore the properties of exoplanets situated with respect to circumstellar habitable 14 zones by implementing a sophisticated filtering methodology on data from the NASA Exoplanet 15 Archive. This research encompasses a thorough examination of 5,595 confirmed exoplanets listed in 16 the Archive as of March 10th, 2024, systematically evaluated according to their calculated average 17 surface temperatures and stellar classifications of their host stars, taking into account the biases im- 18 plicit in the methodologies used for their discovery. Machine learning, in the form of a Random 19 Forest classifier and a XGBoost classifier, are trained with high accuracies. The feature importance 20 analysis indicates that our approach captures the most important parameters for habitability classi- 21 fication. Our findings elucidate distinctive paQerns in exoplanetary aQributes, which are signifi- 22 cantly shaped by the spectral classifications and mass of the host stars. The insights garnered from 23 our study both inform refinement of existing models for managing burgeoning exoplanetary da- 24 tasets, as well as lay foundational groundwork for more in-depth explorations of the dynamic rela- 25 tionships between exoplanets and their stellar environments.
DOI: 10.48577/jpl.bzbyss
title: Advancements and opportunities to improve bottom-up estimates of global wetland methane emissions

description: Wetlands are the single largest natural source of atmospheric methane (CH4), contributing approximately 30% of total surface CH4 emissions, and they have been identified as the largest source of uncertainty in the global CH4 budget based on the most recent Global Carbon Project (GCP) CH4 report. High uncertainties in the bottom-up estimates of wetland CH4 emissions pose significant challenges for accurately understanding their spatiotemporal variations, and for the scientific community to monitor wetland CH4 emissions from space. In fact, there are large disagreements between bottom-up estimates versus top-down estimates inferred from inversion of atmospheric CH4 concentrations. To address these critical gaps, we review recent development, validation, and applications of bottom-up estimates of global wetland CH4 emissions, as well as how they are used in top-down inversions. These bottom-up estimates, using (1) empirical biogeochemical modeling (e.g., WetCHARTs: 125 - 208 TgCH4 yr-1); (2) process-based biogeochemical modeling (e.g., WETCHIMP: 190  39 TgCH4 yr-1); (3) data-driven machine learning approach (e.g., UpCH4: 146  43 TgCH4 yr-1), were all subject to large uncertainties (~ 80 TgCH4 yr-1). Recent advances in surface measurements of CH4 fluxes (e.g., FLUXNET-CH4) across a wide range of ecosystems including bogs, fens, marshes, and forest swamps provide an unprecedented opportunity to improve existing bottom-up estimates of wetland CH4 estimates. We suggest that continuous long-term surface measurements at representative wetlands, high fidelity wetland mapping, combined with an appropriate modeling framework, will be needed to significantly improve global estimates of wetland CH4 emissions. There is also a pressing unmet need for fine-resolution and high-precision satellite CH4 observations directed at wetlands.
DOI: 10.48577/jpl.gd6cnp
title: Analysis of a High Accuracy Service for GPS based on JPL’s Global Differential GPS

description: n the current GNSS context with several constellations offering High Accuracy Services (HAS), wehave performed an analysis of a HAS for GPS based on JPL’s Global Differential GPS (GDGPS) system.The HAS provides corrections for Galileo and GLONASS also. The scenario being analyzed is presentlydelivering satellite corrections to users through the Internet, similarly to one style of access to GalileoHAS. The GDGPS-based HAS described in this research mainly consists of high-quality satellite orbit andclock corrections, with additional support for satellite code biases. Also under consideration are increasedsupport for satellite code biases, together with support for satellite phase biases to allow for precise pointpositioning with ambiguity resolution (PPP-AR). Corrections are provided in two parallel variations: onestream supporting GPS and Galileo, and the other supporting GPS and GLONASS. Each variation isprovided in two redundant instances for robustness, a total of four streams. Analysis of the quality ofthe corrections and of the PPP solutions based on these products attests to the quality of the corrections.PPP results show good performance, with PPP performance comparable to solutions generated basedon real-time CNES products, and better than solutions generated based on Internet-based Galileo HASproducts (obtained through Internet-based distribution). For instance, based on processing over 2,000independent three-hour datasets, both GDGPS-based HAS GPS+GAL streams, as well as the CNES stream,allow for 97% of datasets to achieve post-convergence horizontal rms below 20 cm, and 88% below 10 cm.Comparatively, 81% of Galileo HAS-based solutions have post-convergence horizontal rms below 20 cm,and 33% have rms below 10 cm. The results suggest a means of implementing a HAS based on GDGPSthat might serve as an augmentation to GPS, Galileo, and GLONASS.
DOI: 10.48577/jpl.fdcqxy
title: Comparing Near-Simultaneous OCO-3 and EMIT Observations of CO2 Point Sources from the ISS

description: Carbon dioxide (CO2) emissions from combustion sources are uncertain in many places across the globe. Here, we estimate CO2 emission rates from a small number of collocated observations from the Orbiting Carbon Observatory-3 (OCO-3) and the Earth Surface Mineral Dust Source Investigation (EMIT), both onboard the International Space Station (ISS). These near-simultaneous measurements allow for an unprecedented comparison of two unique space-based CO2 sensors over both isolated coal-fired power plants and multi-source scenes in China. We estimate CO2 emission rates using integrated mass enhancement and a Gaussian plume model. Where validation data is available, 15 of the 19 estimated emission rates have errors less than 37%. For the multi-source scenes, EMIT can estimate emissions from individual facilities but its aggregate emissions are 33% lower than OCO-3, likely because it cannot detect small sources or diffuse emissions. OCO-3, with its excellent precision, may better constrain CO2 emissions over the entire scene.
DOI: 10.48577/jpl.unpryr
title: The Small Mobile Ozone Lidar (SMOL): instrument description and first results

description: Ozone profile measurements at high temporal and vertical resolution are needed to better understand physical processes driving tropospheric ozone variability and to validate the tropospheric ozone measurements from spaceborne missions such as TEMPO (Tropospheric Emissions: Monitoring Pollution). As part of the Tropospheric Ozone Lidar Network (TOLNet) efforts allocated to provide such measurements, and leveraging on the experience of more than 20 years of ozone 20 lidar measurements at Table Mountain Facility, the JPL lidar group developed the SMOL (Small Mobile Ozone Lidar), an affordable differential absorption lidar (DIAL) system covering all altitudes from 200 m to 10 km. a.g.l. The transmitter is based on a quadrupled Nd:YAG laser which is further converted into a 289/299 nm wavelength pair using Raman shifting cells, and the receiver consists of three ozone DIAL pairs of 266/289 and 289/299 nm. Two units were deployed in the Los Angeles basin area during the Synergistic TEMPO Air Quality Science (STAQS) and Atmospheric Emissions and Reactions 25 Observed from Megacities to Marine Areas (AEROMMA) campaigns in summer 2023. The comparison with airborne in-situ and lidar measurements show very good agreement, with systematic differences below 10 % throughout most of the measurement range. An additional comparison with nearby surface ozone measuring instruments indicates unbiased measurements by the SMOL lidars down to 200 m above ground level.
DOI: 10.48577/jpl.lyakv5
title: Realizations of the Interior Spherical Bessel Harmonic Coefficients of a Polyhedral Body within the Brillouin sphere

description: Propagation of satellite orbits about celestial bodies frequently relies on spherical harmonics to model the gravitational field. Yet, the expansion of the gravitational field in terms of spherical harmonics only converges exterior to the Brillouin (circumscribing) sphere of the body, limiting the accuracy of the model for very low orbits or landing trajectories. Interior to this sphere, a complementary expansion in terms of spherical Bessel harmonics provides a rigorous model of the field. To realize this model, past studies have relied on calculating Bessel harmonic coefficients from their spherical harmonic counterparts for the exterior field. This lacks a unique solution. In this article we derive an algorithm for uniquely calculating the Bessel harmonic coefficients directly from the surface integral of an arbitrary shape with homogenous density. We verify the accuracy of such gravity field below the Brillouin sphere of Phobos against the polyhedral gravity field. We also propose a couple methods of allocating the Bessel harmonics from the exterior spherical harmonic coefficients and compare them against the polyhedral gravity field. These methods along with the shape-model integration greatly improve the applicability of the interior spherical Bessel harmonics to problems in spacecraft navigation near small bodies as well as science.
DOI: 10.48577/jpl.m1g6qv
title: Overdensity of Lyman-Break Galaxy Candidates Around Hot Dust-Obscured Galaxies

description: Hot dust-obscured galaxies (Hot DOGs), are a family of hyper-luminous, heavily obscured quasars. A number of studies have shown that these objects reside in significantly overdense regions of the Universe based on the identification of companions at optical through far-IR wavelengths. Here we present further characterization of their environments by studying the surface density of Lyman break galaxy (LBG) candidates in the vicinity of three Hot DOGs. For two of them, WISE J041010.60–091305.2 (W0410–0913) at z = 3.631 and WISE J083153.25+014010.8 (W0831+0140) at z = 3.912, we identify the candidate LBG companions using deep observations obtained with Baade/IMACS. For the third, WISE J224607.56–052634.9 (W2246–0526) at z = 4.601, we re-analyse previously published data obtained with Gemini-S/GMOS-S. We optimise the LBG photometric selection criteria at the redshift of each target using the COSMOS2020 catalog. When comparing the density of LBG candidates found in the vicinity of these Hot DOGs with that in the COSMOS2020 catalog, we find overdensities of δ = 8.05 ± 0.70 (δ′ = 1.19 ± 0.08), δ = 30.89 ± 2.20 (δ′ = 4.90 ± 0.21) and δ = 12.40 ± 2.00 (δ′ = 2.46 ± 0.25) around W0410–0913, W0831+0140 and W2246–0526, respectively. Additionally, we find that the overdensities are centrally concentrated around each Hot DOG. Our analysis also reveals that the overdensity of the fields surrounding W0410–0913 and W0831+0140 declines steeply beyond physical scales of ∼2 Mpc. If these overdensities evolve to clusters by z = 0, these results suggest that the Hot DOG may correspond to the early formation stages of the brightest cluster galaxy. We were unable to determine if this is also the case for W2246–0526 due to the smaller field of view of the GMOS-S observations. Our results imply that Hot DOGs may be excellent tracers of protoclusters.
DOI: 10.15468/dl.sg3v9f
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL.14_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Iris pseudacorus L."
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027045-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mn7x2
title: Occurrence Download

description: A dataset containing 2468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Amazona finschi (P.L.Sclater, 1864)"
 ]
}

 The dataset includes 2468 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027048-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1105477.10fu
title: SH1105477.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105480.10fu
title: SH1105480.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105481.10fu
title: SH1105481.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105482.10fu
title: SH1105482.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105484.10fu
title: SH1105484.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105487.10fu
title: SH1105487.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105491.10fu
title: SH1105491.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105492.10fu
title: SH1105492.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105493.10fu
title: SH1105493.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1105494.10fu
title: SH1105494.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.