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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis cryptogramma)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011115-250802193616735/datasets/export for details.
DOI: 10.25934/pr00010836
title: Machine learning based prediction of Survival and Progression to atezolizumab-bevacizumab in  Hepatocellular Carcinoma (HCC) patients 

description: Hepatocellular carcinoma (HCC) is a type of liver cancer and is the third leading cause of cancer deaths around the world. Sadly, many people with HCC are diagnosed too late, when it’s harder to treat and cure. For patients with more advanced stages of HCC, one of the main treatments is a combination of two drugs: atezolizumab and bevacizumab. These medicines work by helping the body’s immune system fight the cancer and by reducing the blood flow to the tumor, which the cancer needs to grow. However, only about 30% of patients respond well to this treatment, and right now, doctors have no easy way to predict who will benefit from it.

The goal of this research is to find a way to predict which patients are more likely to respond to atezolizumab and bevacizumab. To do this, we gathered data from 1,399 patients who were treated with these two drugs at 12 different hospitals and research centers worldwide, including both Western and Eastern countries. We then divided the data into two groups: one to develop our prediction models and the other to test how well the models work.

In the first part of the study, we looked at the patients’ characteristics when they started treatment and grouped them into three categories based on their outcomes. We called this the "A-B-C" classification. Next, we used advanced computer techniques, called machine learning, to develop a scoring system that predicts whether a patient’s cancer will progress quickly (get worse) after their first follow-up scan. Machine learning is a type of technology that allows computers to learn from data and make predictions without being directly programmed to do so.

To make sure our findings are reliable, we are also looking to test our methods on data from a well-known clinical trial called IMbrave150. This will help us confirm how well our models work and compare outcomes based on the treatment patients received. Our ultimate aim is to create tools that physicians can use in everyday practice to choose the best treatments for their patients.
DOI: 10.15468/dl.8qp6gb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum halepense",
 "Country is Myanmar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011117-250802193616735/datasets/export for details.
DOI: 10.15468/dd.reg4jt
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.15468/dl.2h2dqn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tyrannus forficatus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011120-250802193616735/datasets/export for details.
DOI: 10.15468/dl.3aceab
title: Occurrence Download

description: A dataset containing 2112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alyssum desertorum",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2112 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011118-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.lrswzv
title: Vertical Wind and Drop Size Distribution Retrieval with the CloudCube G-band Doppler Radar

description: Macrophysical properties of clouds are influenced by underlying microphysical processes. In practice, there is often an observational gap in bridging the two. For example, our current understanding of aerosol-cloud interaction and cloudclimate feedback is hindered by a lack of robust measurements of the distribution of drop sizes within clouds, especially for the smallest drop sizes. Doppler radar measurements have proven useful in estimating rainfall drop size distributions (DSDs) but 5 face an intermediate challenge of requiring a correction for the presence of vertical air motion. Recent advances in millimeter wave technology have made radar measurements at ever smaller wavelengths possible, allowing for analysis of non-Rayleigh scattering effects to back out estimates of vertical winds and thereby DSDs. This work demonstrates a method of deriving range-resolved DSDs using 238 GHz Doppler spectra measured by the CloudCube G-band atmospheric Doppler radar. The observations utilized are of marine boundary layer clouds during March and April 2023 in La Jolla, CA, USA, taken as 10 part of CloudCube’s participation in the Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE) campaign. This method first identifies “notches” in the velocity spectra and compares them to the theoretical notch velocities predicted by size dependent backscattering and terminal velocity models to estimate the range-dependent vertical wind. After removing the vertical wind, binned DSDs are retrieved from the zero-wind spectrum. Bulk properties of the precipitation are then derived including the number concentration, liquid water content, characteristic drop size, and precipitation rate. These bulk properties 15 are relatively invariant to the assumptions made in the estimation of the full DSD retrieval, potentially making large volumes of such retrievals useful tools in assessing physical models of drizzle.
DOI: 10.48577/jpl.vrhhyy
title: A Comprehensive Analysis of Rovibrational CO in the Era of JWST

description: We present an analysis of CO rovibrational emission lines in the 183 infrared spectra of nearby Class II objects obtained with the NIRSPEC instrument on the Keck II telescope over the past two decades. The sample includes a broad range of stellar mass (both T Tauri and Herbig Ae/Be) and disk evolutionary states (from full to debris disks). We find that 53% of the sample has CO rovibrational emission lines present in their spectrum with disk/stellar subtype detection rates of 82% for transition disks, 61% for Herbigs, and 77% for CTTSs. Although there is no discernible difference between T Tauri and Herbig Ae/Be star CO detection rates, the detection of accretion and of CO are statistically correlated in T Tauri stars but not in Herbig Ae/Be objects. Within the sample of T Tauri stars, we find that no weak-line T Tauri stars have CO rovibrational emission lines. We use slab modeling to analyze the density, temperature, and emitting area of the sample. The retrieval results imply that Herbig Ae/Be objects tend to have cooler and larger CO emitting regions than T Tauri stars. We find that the CO emitting area is not a thin ring as defined by temperature, but a ring of varying size likely dependent on the structure of the disk. We also present guidelines on how to approach CO rovibrational emission lines in JWST spectra and present methods for linking ground-based observations with JWST spectra. This includes line-to-continuum ratio estimates based on stellar mass and accretion rate.
DOI: 10.48577/jpl.iqhvde
title: Double-offset Cassegrain telescopes for the Ultraviolet Type Ia (UVIa) mission concept

description: Our understanding of cosmology is shaped by Type Ia supernovae (SNe Ia), the runaway thermonuclear detonations of white dwarfs via accretion from a companion star. The nature of this companion star is highly debated, with disparate models explaining currently available SNe Ia data. Critical ultraviolet (UV) signatures of SNe Ia progenitors are only observable within the first few days post-detonation. We present the instrument design of UVIa, a proposed SmallSat to make early UV observations of SNe Ia. UVIa conducts simultaneous observations in three photometric channels: far-UV (1500 — 1800 A˚ ), near-UV (1800 — 2400 A˚ ), and Sloan u-band (3000 — 4200 A˚ ). UVIa employs two 80 mm double-offset Cassegrain UV telescopes and a similar 50 mm u-band telescope, imaging onto three Teledyne e2v CIS120-10-LN CMOS detectors. The UV detectors are delta-doped for enhanced sensitivity, with custom metal-dielectric filters providing further in-band efficiency and red light rejection. The UV optics utilize multi-layer coatings, defining the UV bandpasses and providing additional red light rejection. The instrument design achieves high UV sensitivity (21.5 mag AB) and superior red light rejection (&lt; 5×10−6 throughput), allowing UVIa to make early observations of SNe Ia while serving as a pathfinder for future UV transient telescopes.
DOI: 10.48577/jpl.kn5bwi
title: Evidence for the Keplerian orbit of a close companion around a giant star

description: Close companions influence stellar evolution through tidal interactions, mass transfer, and mass loss effects. While such companions are detected around young stellar objects, main- sequence stars, red giants, and compact objects, direct observational evidence of close-in companions around asymptotic giant branch (AGB) stars has remained elusive. Here, we present (sub)millimeter time-domain imaging spectroscopy revealing a close-in companion in Keplerian motion around the AGB star π 1 Gruis. The companion, slightly more mas- sive than the AGB star, is likely a main-sequence star. Unlike more evolved stars with com- panions at comparable distances, π1 Gru’s companion follows a circular orbit, suggesting an eccentricity-generating mechanism late- or post-AGB. Our analysis suggests that model- predicted circularization rates may be underestimated. Our results highlight the potential of (sub)millimeter interferometry in detecting close companions to giant stars and open new avenues for our understanding of tidal interaction physics and binary evolution.
DOI: 10.15468/dl.3x57xd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe pinnata",
 "Country is Bhutan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011122-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4pncm
title: Occurrence Download

description: A dataset containing 458 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corythoichthys schultzi"
 ]
}

 The dataset includes 458 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011123-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.w8j6o7
title: Multilevel FFT Method for Surface-to-Volume Field Propagation in Electrically-Large Dielectric Objects

description: We have developed a multilevel FFT (MLFFT) method to propagate known surface currents on the boundary to the interior of electrically-large (&gt;30λ) homogeneous dielectric objects in O(NlogN) time. The two enabling features are 1) a flattened hierarchy to make the FFTs at the coarsest level as large as possible and 2) forgoing the disaggregation step of the MLFMM in favor of direct field evaluation. These allow the interior field to be computed on a finely sampled Cartesian grid and be computed in 10s of minutes on standard workstations for a single incident field. The method outperforms today’s commercial electromagnetic solvers in time and memory for the same application. The accuracy of the method was validated using two commercial solvers and the computation time was measured using progressively larger dielectric spheres. The primary application of the MLFFT is distorted-type imaging and inverse scattering algorithms that require the total electric field inside a homogeneous object. The specific scientific use case is the 60 MHz monostatic JuRa radar on the Hera/Juventas mission that will image the interior of asteroid Dimorphos.
DOI: 10.48577/jpl.a32bqw
title: Introduction to the Special Section Earthquakes in Slowly Deforming Mountain Belts and the High Atlas Earthquake of 8 September 2023

description: Earthquakes in slowly deforming mountain belts result from low tectonic loading and occur on individual fault segments. Although most of the significant seismic strain rate concentrates along the plate boundaries, large earthquakes with Mw &gt; 6 may still be generated along faults in regions at a distance (&gt;&gt; 100 km) from plate boundaries. Intraplate regions or continental interiors show an active deformation characterized by relatively low tectonic and seismic strain rate (&lt; 5 mm/yr., Johnston, 1996), consistent with geodetic strain rates and models of plate motions that predict comparable velocities (Kreemer et al., 2014). Active faults in continental interiors and related paleoseismic records also represent slow strain accumulation that express the occurrence of large earthquakes separated by long period of seismic quiescence (Landgraf et al., 2017).
DOI: 10.48577/jpl.vb0qbs
title: Development of a next-generation thermopile detector for cold-body space applications

description: Due to the low temperature of space bodies, such as the outer planets of the solar system and certain regions of the moon, many thermophysical processes reveal themselves in the infrared and far-infrared. Thus, the capability to measure and analyze the infrared spectrum in space is critical. Thermopile detectors are a class of thermal detectors that can convert incoming infrared radiation into accurate temperature maps of various surfaces without the need of cooling. However, a larger detector array is needed to allow for large maps of extremely cold (&lt; 100 K) celestial bodies. In this work, therefore, we model, develop, and test a next-generation thermopile detector with a 4x larger format size than the state-of-the-art with diffraction-limited pixels. We report the highest specific detectivity of 1x109 cmHz1/2/W for a thermopile detector with a format size of 64x32 pixels. In addition, we develop a process to hybridize these detectors with readout integrated circuits (ROICs) using indium bump bonding. A prototype focal plane module is fabricated to accommodate the hybridized detector/ROIC and fit in a compact instrument initially devised for moon rovers
DOI: 10.48577/jpl.sb4i9x
title: FUOr-Aur 0544+3330: A New YSO Outburst in the Outskirts of Auriga, Viewed Face-On

description: We present a newly appreciated FU Ori outburst event that began in 2019 and reached a peak in early 2021. Suspected young stellar object WISE J054452.25+333009.6 expe- rienced substantial brightening, in excess of −5 mag at optical wavelengths and −2.5 mag at mid-infrared wavelengths. The time from near-quiescence to peak brightness was approximately 24 months. Optical and near-infrared spectra confirm that the out- bursting source (hereby designated FUOr-Aur 0544+3330) shows all the hallmarks of the FU Ori class, including the Li I indicator of stellar youth. The mix of ionized and neutral atomic lines, alongside prominent molecular absorption features, is consistent with the expected change in spectral type from earlier in the optical to later-type in the near-infrared. The closest analog among well-studied FU Ori objects is V1515 Cyg. Both sources have unusually narrow-lined absorption spectra that can be explained by a face-on disk orientation, such that disk-broadening is minimized and wind-induced blueshift (in e.g. Hα, NaD, Ca II) is maximized. Both the optical through infrared spec- tral energy distribution and high-resolution spectrum are well-fit by a pure-accretion disk model. Adopting a distance of d = 1.5 kpc, the accretion and central star param- eters are: M ̇ = 10−5.48 M⊙ yr−1, M∗ = 0.17 M⊙, and Rinner = 1.04 R⊙. Other fitted values are disk inclination i = 5.9 deg and source extinction AV = 1.83 mag. These parameters yield accretion luminosity Lacc = 8.4 L⊙ and maximum disk temperature Tmax = 6218 K. In order to rectify the post-outburst disk with the pre-outburst spec- tral energy distribution, we hypothesize that the outburst originated from the secondary star in a young Class I binary system.
DOI: 10.48577/jpl.mnrwhq
title: Coatings and Filters for Ultraviolet Imaging and Spectroscopy

description: Here we summarize JPL’s optical coatings methods for silicon-based UV detectors and report on the latest developments. The topics to be covered include UV-optimized antireflection coatings, solar-blind UV bandpass filters, as well as patterned coatings yielding detectors with spatially varying response spanning the UV and visible wavelength ranges. The latter innovation is achieved by combining well-established lithographic patterning techniques with optical coating techniques to produce butcher-block style AR coatings, similar to linear variable filters often used in infrared spectroscopy systems. With these patterned AR coatings, a detector’s spatial response can be tailored according to the spectral dispersion of the optical system. Thus, high-throughput, wide-wavelength imaging and spectroscopy can be achieved on a single detector.
DOI: 10.48577/jpl.ihe4ez
title: The Benefit of Space Clocks for the Deep Space Network

description: Ground-based atomic clocks have been the foundation of the Deep Space Network’s (DSN’s) ability to provide high-precision tracking to deep space users for navigation and radio science since its inception in the mid-1960s. This paper describes the development of space clocks that could aid the DSN and the solar system exploration enterprise (such as by being the basis of a Lunar or Mars navigation system—similar to ground clock’s role for the DSN—and by forming an in situ timescale). The paper reviews the most promising technologies potentially available in the next few years that could be used to realize these benefits for the DSN and exploration/science in the coming decade. Specifically, advances with the Deep Space Atomic Clock (DSAC) make it the most viable technology at this time for realizing a new space clock with orders of magnitude better long-term stability than existing space clocks. Other technologies, such as a space-capable fully optical clock with further improvements in performance, are likely more than a decade away from a space demonstration. Thus, with investment now, a follow-on to DSAC (that we label generically as DSAC-FO) could be ready for demonstration and commercialization in a few short years and made available for wide-scale use by NASA and the DoD this decade.
DOI: 10.48577/jpl.g6l0y8
title: Estimation and attribution of horizontal land motion measured by the Greenland GNSS network

description: Horizontal land motion, as observed by geodetic techniques such as Global Navigation Satellite Systems (GNSS), is generally dominated by tectonic plate movement. However, in regions that are currently or formerly glaciated, such as Greenland, the deformation of the solid Earth due to surface loading complicates the separation of tectonic and glacial signals. Greenland, in particular, exhibits continent-wide horizontal motion of about 23mm/year toward the northwest direction, as recorded in the ITRF reference frame by the Greenland GNSS Network (GNET). Credible estimates of Greenland’s plate motion are currently lacking, which hinders the ability to isolate other geophysical contributions. To address this, we first quantify the horizontal crustal velocity due to elastic deformation from present-day ice mass changes. We then derive a new plate motion model for the North American Plate using 2891 GNSS stations (including 55 from GNET) and estimate an improved Euler pole position. After removing the effects of both contemporary ice loss and plate motion, the residual horizontal velocity at each GNET site is attributed to Glacial Isostatic Adjustment (GIA) processes. This refined dataset provides critical input for future three-dimensional GIA modeling, enabling more accurate reconstructions of the deglaciation history, as well as better constraints on the solid Earth structure and mantle viscosity beneath Greenland and North America.
DOI: 10.48577/jpl.pikhdt
title: Gas-Poor Hosts and Gas-Rich Companions of z≈3.5 Radio Active Galactic Nuclei: ALMA Insights into Jet Triggering and Feedback

description: Cold gaseous systems play important roles in galaxy evolution by possibly providing fuel to ignite active galactic nuclei (AGN) activity and star-formation. In this work, we analyze [CII] 158µm and continuum observations from ALMA for a sample of four radio AGN at z ≈3.5, focusing on eight associated companion cloud systems discovered within projected distances of tens of kiloparsecs or less. The spatial distribution of these companions indicates that the majority of cold gas is not located at the AGN position, i.e., not in their host galaxies. With the assistance of [CII] at 0.2′′resolution, we further confirm the gas-poor nature of the hosts by re-analyzing archival [CI] (a tracer of molecular hydrogen) at ∼2′′ resolution. Our sample has [CII] luminosities in a range of 2.8e8 &lt; L[CII]/L(sun) &lt; 4.2e9. The L[CII]/L(IR) ratio, ∼9.4e−4, is consistent with sources discussed in the literature. Our findings show the gas-poor radio AGN hosts have nearby gas-rich companions. We propose that these companions may be stripped clouds resulting from merger processes, which could be a trigger of radio-loud AGN. They may also be a signature of negative AGN feedback (e.g., shock heating) on these infalling companions and on the host galaxy. In general, our analysis shows that powerful AGN at and before Cosmic Noon are impacting and being impacted by cold gaseous clouds in their circumgalactic or proto-intracluster media.