cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7385945
title: MOESM2 of Exploration of methylation-driven genes for monitoring and prognosis of patients with lung adenocarcinoma

description: Additional file 2. Expression levels of 118 methylation-driven genes.
DOI: 10.6084/m9.figshare.7385945.v1
title: MOESM2 of Exploration of methylation-driven genes for monitoring and prognosis of patients with lung adenocarcinoma

description: Additional file 2. Expression levels of 118 methylation-driven genes.
DOI: 10.6084/m9.figshare.21541978
title: Additional file 3 of Exogenous ABA and IAA modulate physiological and hormonal adaptation strategies in Cleistocalyx operculatus and Syzygium jambos under long-term waterlogging conditions

description: Additional file 3.
DOI: 10.6084/m9.figshare.21541978.v1
title: Additional file 3 of Exogenous ABA and IAA modulate physiological and hormonal adaptation strategies in Cleistocalyx operculatus and Syzygium jambos under long-term waterlogging conditions

description: Additional file 3.
DOI: 10.6084/m9.figshare.25006529
title: Data from "Global patterns and determinants of multiple facets of plant diversity"

description: Data includes the derived diversity metrics of plant diversity (species richness, sesPD, sesFD) along with the new metric we calculated (μ-diversity). We also provided all the explanatory variables needed to run the models. The material includes a "README.txt" file and five scripts to replicate the analyses in the main text of the manuscript. In more detail, "01_Fig.1.R" allows the calculation of the ranked diversity patterns, "02_Fig.2.R" allows the calculation of the diversity patterns and the latitudinal gradients; "03_Fig.3.R" the overlap and variation partitioning; "04_Fig.4.R" the random forest and "06_Fig. 6.R" the calculation of the exposure of plant diversity to current human impacts. The script "00_AllAnalyses.R" acts as a collector and allows the launch of the other scripts. The script "Diversity_calculations.R" uses a working example to show how to derive the diversity metrics.
DOI: 10.6084/m9.figshare.25006529.v1
title: Data from "Global patterns and determinants of multiple facets of plant diversity"

description: Data includes the derived diversity metrics of -plant diversity (species richness, sesPD, sesFD) along with the new metric we calculated (μ-diversity). The R material includes three scripts to replicate the analyses in the main text of the manuscript. In more detail, "01_Script_patterns.R" allows the calculation of the diversity patterns, overlap and variation partitioning; "02_Script_RF.R" the random forest and "03_Script_exposureHF.R" the calculation of the exposure of plant diversity to current human impacts.
DOI: 10.48577/jpl.cwwqej
title: Microwave permittivity and permeability measurements on lunar simulants at low temperatures

description: Lunar simulants are used to approximate the behavior of the lunar regolith. This work focuses on materials responses relevant for microwave heating to inform in-situ resource utilization of lunar regolith for landing pads and building infrastructure. Microwave dielectric permittivity and magnetic permeability measurements have been made for the first time on several new highland lunar simulants (NU-LHT-4M, NUW-LHT-5M and CSM-LHT-1G). One mare lunar simulant (JSC-1A) is included in this work. We present these measurements in the low temperature range -185°C to 250°C and in the frequency range 50 MHz to 3 GHz. The dominant minerals in the simulants are the minerals bytownite, ortho- and clino-pyroxenes, olivine, and glass. Less complex rock feedstocks for highland simulants, anorthosite and pyroxenite, were also measured separately. The dielectric measurements were performed on samples having different densities. To more accurately compare the magnitude of the real permittivity measurements, a normalization expression was developed. Differences in the dielectric responses were noted, however all simulants were weak microwave absorbers at the low temperatures. This data assists with planning for a hybrid approach to microwave sintering at the lunar south pole.
DOI: 10.48577/jpl.clxaf4
title: Organic input to Titan’s subsurface ocean through impact cratering

description: Titan has an organic-rich atmosphere and surface, with a subsurface, liquid water ocean that may represent a habitable environment. In this work, we determined the amount of organic material that can be delivered from Titan’s surface to its ocean through impact cratering. We assumed Titan’s craters produce impact melt deposits composed of liquid water that can founder in its lower-density ice crust, and estimated the amount of organic molecules that could be incorporated into these melt lenses. We used known yields for HCN and Titan haze hydrolysis to determine the amount of glycine produced in the melt lenses and found a range of possible flux rates of glycine from the surface to the subsurface ocean. These ranged from zero to 1011 mol/Gyr for HCN hydrolysis and from zero to 1014 mol/Gyr for haze hydrolysis. These fluxes suggest an upper limit for biomass productivity of ~103 kgC/yr from a glycine fermentation metabolism. This upper limit is significantly less than recent estimates of the hypothetical biomass production supported by Enceladus’s subsurface ocean. Unless biologically available compounds can be sourced from Titan’s interior, or be delivered from the surface by other mechanisms, our calculations suggest that even the most organic-rich ocean world in the Solar System may not be able to support a large biosphere.
DOI: 10.6084/m9.figshare.12629080
title: Additional file 1 of TMPO-AS1 promotes cell proliferation of thyroid cancer via sponging miR-498 to modulate TMPO

description: Additional file 1: Table S1. The specific primers or sequences used for qRT-PCR, cell transfection, RNA pull down and RNA FISH assays.
DOI: 10.48577/jpl.xiu56f
title: Systematic Differences between the Northern and Southern Hemispheres: Warm Frontal Ice Water Path Linked to the Origin of Extratropical Cyclones

description: Extratropical cyclones (ETCs) produce most of the winter precipitation at mid latitudes, and are often associated with the most extreme winter weather events. For climate models to accurately predict the occurrence and severity of these extreme events in a changing climate, they need to accurately represent moist processes in general and ice processes in particular. To provide an observational constraint for model evaluation, because cloud cover and precipitation are prevalent in warm frontal regions, a compositing method is applied to ice retrievals from satellite observations to explore the ice distribution across warm fronts in both hemispheres. Ice water path (IWP) and its variability are compared between the northern hemisphere (NH) and the southern hemisphere (SH) warm fronts for different ETC-wide characteristics, as well as for different ETC origination regions. Results reveal that warm frontal IWP and its variability tend to be higher in the NH than the SH, even when controlling for the ETC strength and environmental precipitable water (PW). IWP differences between NH and SH are found to be primarily related to where the cyclones originate. As the Intertropical Convergence Zone is shifted north, ETCs that originate close to the Northern Tropics have more PW than those that originate close to the Southern Tropics. This, in turn, seems to lead to larger IWP in NH frontal clouds than in the SH frontal clouds at a later time. This highlights the importance, for ice amounts generated in warm frontal regions, of the environmental conditions that an ETC encounters during its genesis phase.
DOI: 10.6084/m9.figshare.12629080.v1
title: Additional file 1 of TMPO-AS1 promotes cell proliferation of thyroid cancer via sponging miR-498 to modulate TMPO

description: Additional file 1: Table S1. The specific primers or sequences used for qRT-PCR, cell transfection, RNA pull down and RNA FISH assays.
DOI: 10.48577/jpl.ckslmr
title: DSAC and next generation high stability, long life trapped mercury ion frequency standards

description: The methods of trapping and cooling of atoms and ions have been transformative for atomic clocks due to the reduction, and in some cases elimination, of major systematic frequency shifts. Continuously operating atomic clocks based on trapped mercury ions have existed for decades but until recently have been restricted to terrestrial applications. The recently completed Deep Space Atomic Clock (DSAC) mission demonstrated the first trapped ion clock operation in space. Here we review DSAC as well as follow-on improvements towards the realization of high stability, long life Hg ion atomic clocks for foreseen ground and flight application.
DOI: 10.48577/jpl.eoc1iz
title: Observation of solar radio burst events from Mars orbit with the Shallow Radar instrument

description: Context. Multispacecraft and multiwavelength observations of solar eruptions such as flares and coronal mass ejections are essential to understand the complex processes behind these events. The study of solar burst events in the radio-frequency spectrum has relied almost exclusively on data from ground-based observations and a few dedicated heliophysics missions such as STEREO or Wind. Aims. Reanalysing existing data from the Mars Reconnaissance Orbiter (MRO) Shallow Radar (SHARAD) instrument, a Martian planetary radar sounder, we have discovered the instrument was also capable of detecting solar radio bursts, and was able to do so with unprecedented resolution for a space-based solar instrument. In this study we aim at demonstrating the reliability and value of SHARAD as a new solar radio-observatory. Methods.We characterised the sensitivity of the instrument to type-III solar radio bursts through a statistical analysis of correlated observations, using STEREO andWind as references. Using 38 correlated detections, we establish the conditions under which SHARAD can observe solar bursts in terms of acquisition geometry. As an example of scientific application, we also present the first analysis of type-III characteristic times at high resolution beyond 1 AU. Results. A simple logistic model based purely on geometrical acquisition parameters can predict burst show vs. no-show in SHARAD data with an accuracy of 79.2%, demonstrating the reliability of the instrument for detecting solar bursts and laying the foundation for using SHARAD as a solar radio-observatory. The extremely high resolution of the instrument, both in temporal and frequency directions, its bandwidth, and its position in the solar system enable SHARAD to make significant contributions to heliophysics; it could inform on plasma processes on the site of the burst generation and along the propagation path of associated fast electron beams.
DOI: 10.48577/jpl.yub6oz
title: Optical Ranging for Space-to-Ground Links

description: Ranging information is routinely used for orbit determination and spacecraft positioning. Currently, RF radiolinks are used to periodically measure radiometric observables from which range information is derived. Withthe advent of high-speed free space optical links, both in the near-Earth and deep space domains, techniques forderiving range information in bidirectional optical links and mixed RF-optical links are gaining relevance.This paper presents two methods for obtaining range information between a ground station and a spacecraft,which we term synchronous mode (AM) and asynchronous mode (SM). In the synchronous mode, the spacecraftties the departure of a ranging codeword (RCW) in the uplink with the departure of a RCW in the downlink.Phases of the uplink and downlink signals (and their associated time tags) are measured at the ground stationand serve as observables for deriving the range information. The AM uses a similar scheme, but one phasemeasurement is performed by the ground station uplink subsystem, while the other is performed by the spacecraft.To avoid stringent clock requirements on the mission, time tags in the AM continue to be generated by the groundstation, which is assumed to have an excellent frequency and timing distribution system.
DOI: 10.48577/jpl.ffaskc
title: Subsurface Thermophysical Properties of Europa's Leading and Trailing Hemisphere as Revealed by ALMA

description: We present best-fit values of porosity – and the corresponding effective ther-12 mal inertiae – determined from three different depths in Europa’s near-subsurface13 (∼ 1 − 20 cm). We find that Europa’s subsurface porosity varies between 75–14 50% (Γef f ≈ 50 − 140 J m−2 K−1 s−1/2) on the leading hemisphere and 50–40%15 (Γef f ≈ 140 − 180 J m−2 K−1 s−1/2) on the trailing hemisphere as a function of16 depth. Residual maps produced by comparison with these models reveal thermally17 anomalous features that cannot be reproduced by global, single porosity models.18 These regions are compared to Europa’s surface terrain and known compositional19 variations. We find that some instances of warm thermal anomalies are co-located20 with known geographical or compositional features on both the leading and trailing21 hemisphere; cool temperature anomalies are well correlated with surfaces previously22 observed to contain pure, crystalline water ice and the expansive rays of Pwyll crater.23 Anomalous regions correspond to locations with subsurface properties different from24 those of our best-fit models, such as potentially elevated thermal inertia, decreased25 emissivity, or more porous regolith. We also find that ALMA observations at ∼ 3 mm26 sound below the thermal skin depth of Europa (∼ 10−15 cm) for a variety of porosity27 models, and thus do not exhibit features indicative of diurnal variability or residuals28 similar to other frequency bands. Future observations of Europa at higher angular29 resolution may reveal additional locations of variable subsurface thermophysical prop-30 erties, while those at other wavelengths will inform our understanding of the regolith31 compaction length and the effects of external processes on the shallow subsurface.
DOI: 10.48577/jpl.3h0mqh
title: Infrared sensors for monitoring of Earth’s surface and atmosphere

description: No abstract available.
DOI: 10.48577/jpl.aydj0a
title: GPS displacement dataset for study of elastic surface mass variations

description: Quantification of uncertainty in surface mass change signals derived from GPS measurements poses challenges, especially when dealing with large datasets with continental or global coverage. We present a new GPS station displacement dataset that reflect surface mass load signals and their uncertainties. We assess the structure and quantify the uncertainty of vertical land displacement derived from 3045 GPS stations distributed across the continental US. Monthly means of daily positions are available for 15 years. We list the required corrections to isolate surface mass signals in GPS estimates and screen the data using GRACE(-FO) as external validation. Evaluation of GPS timeseries is a critical step, which identifies a) corrections that were missed; b) sites that contain non-elastic signals (e.g., close to aquifers); and c) sites affected by background modelling errors (e.g., errors in the glacial isostatic model). Finally, we quantify uncertainty of GPS vertical displacement estimates through stochastic modeling and quantification of spatially correlated errors. Our aim is to assign weights to GPS estimates of vertical displacements, which will be used in a joint solution with GRACE(-FO). We prescribe white, colored and spatially correlated noise. To quantify spatially correlated noise, we build on the common mode imaging approach adding a geophysical constraint (i.e., surface hydrology) to derive an error estimate for the surface mass signal. We study the uncertainty of the GPS displacement timeseries and find an average noise level between 2-3 mm when white noise, flicker noise, and RMS of residuals about a seasonality and trend fit are used to describe uncertainty. Prescribing random walk noise increases the error level such that half of the stations have noise &gt; 4 mm, which is systematic with the noise level derived through modeling of spatial correlated noise. The new dataset is suitable for use in a future joint solution with GRACE(-FO)-like observations.
DOI: 10.48577/jpl.xefelw
title: Operating Deep Space Autonomous Spacecraft: Ground Processes and Tools for Operability and Trust

description: Future deep-space robotic explorers will use advanced onboard autonomy to address high-priority science questions, e.g., observing fast-changing phenomena and adapting to dynamic environmental circumstances. Onboard autonomy technologies such as planning and scheduling, identification of scientific targets, and content-based data summarization will lead to exciting new deep space science missions. However, traditional operations practices, skills, and processes were not designed for spacecraft with such onboard autonomous capabilities. This paper summarizes the results of a two-year investigation conducted at JPL to explore how ground operations processes, practices, and tools will need to adapt to support effective use of onboard autonomy. In particular, we identify areas where current workflows and tools will need to be enhanced to accommodate commanding and analysis onboard planning and scheduling software for deep space exploration. Our focus is on onboard planning and scheduling: we identify the required changes necessary to enable operators and scientists to convey their desired intent to future autonomous spacecraft’s planning and execution systems, and to be able to reconstruct and explain the decisions made onboard and the state of the spacecraft - providing a practical path to users trusting the autonomy, which is one of the most significant barriers to full adoption. Collectively, these results form key steps toward adoption of onboard spacecraft autonomy, which will enable new, bolder exploration of the outer solar system, small bodies, and the surface of ocean worlds.
DOI: 10.48577/jpl.47scrx
title: Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign

description: Predicting Earth Orientation Parameters (EOP) is crucial for precise positioning and navigation both on the Earth's surface and in space. In recent years, many approaches have been developed to forecast EOP, incorporating observed EOP as well as information on the effective angular momentum (EAM) derived from numerical models of atmosphere, oceans, and land-surface dynamics. The primary objective of these efforts has been to improve the capabilities of EOP forecasting, especially for ultra-short-term prediction horizons (i.e., up to 10 days into the future), which are vital for real-time applications. The Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) aimed to comprehensively evaluate EOP forecasts from many international participants, quantify the current forecasting capabilities, and identify the most promising prediction methodologies. This paper presents the validation results of predictions for universal time (UT1-UTC) and length-of-day (LOD) variations submitted during the 2nd EOP PCC, providing an assessment of their accuracy and reliability. After providing a statistical summary of the submitted files, we conduct a detailed evaluation of all valid forecasts using the 14 C04 solution provided by the International Earth Rotation and Reference Systems Service (IERS) as a reference and mean absolute error (MAE) as the quality measure. Our analysis demonstrates that approaches based on machine learning (ML) or the combination of least squares and autoregression (LS+AR), with the use of EAM information as an additional input, provide the highest prediction accuracy for both investigated parameters. Utilizing precise EAM data and forecasts emerges as a pivotal factor in enhancing forecasting accuracy. We also examine the impact of the considered period on the forecast accuracy and show that the majority of predictions exhibit time-varying MAE values. Although several methods show some potential to outperform the IERS forecasts, the current standard predictions processed at U.S. Naval Observatory are highly reliable and can be fully recommended for operational purposes.
DOI: 10.48577/jpl.cxwlwv
title: Satellite Remote Sensing: A Tool to Support Harmful Algal Bloom Monitoring and Recreational Health Advisories in a California Reservoir

description: Cyanobacterial harmful algal blooms (cyanoHABs) can harm people, animals, and affect consumptive and recreational use of inland waters. Monitoring cyanoHABs is often limited. However, chlorophyll-a (chl-a) is a common water quality metric and has been shown to have a relationship with cyanobacteria. The World Health Organization (WHO) recently updated their previous 1999 cyanoHAB guidance values (GVs) to be more practical by basing the GVs on chla concentration rather than cyanobacterial counts. This creates an opportunity for widespread cyanoHAB monitoring based on chl-a proxies, with satellite remote sensing (SRS) being a potentially powerful tool. We used Sentinel-2 (S2) and Sentinel-3 (S3) to map chl-a and cyanobacteria, respectively, classified chl-a values according to WHO GVs, and then compared them to cyanotoxin advisories issued by the California Department of Water Resources (DWR) at San Luis Reservoir, key infrastructure in California’s water system. We found reasonably high rates of total agreement between advisories by DWR and SRS, however rates of agreement varied for S2 based on algorithm. Total agreement was 83% for S3, and 52-79% for S2. False positive and false negative rates for S3 were 12% and 23%, respectively. S2 had 12-80% false positive rate and 0-38% false negative rate, depending on algorithm. Using SRS-based chl-a GVs as an early indicator for possible exposure advisories and as a trigger for in-situ sampling may be effective to improve public health warnings. Implementing SRS for cyanoHAB monitoring could fill temporal data gaps and provide greater spatial information not available from in-situ measurements alone.
DOI: 10.6084/m9.figshare.21541888
title: Additional file 14 of Exploration of the regulatory relationship between KRAB-Zfp clusters and their target transposable elements via a gene editing strategy at the cluster specific linker-associated sequences by CRISPR-Cas9

description: Additional file 14 Supplementary Table 6. Target distribution analyses for sgRNAs used in Fig. 4.
DOI: 10.6084/m9.figshare.21541891.v1
title: Additional file 15 of Exploration of the regulatory relationship between KRAB-Zfp clusters and their target transposable elements via a gene editing strategy at the cluster specific linker-associated sequences by CRISPR-Cas9

description: Additional file 15 Supplementary Table 7. Primers used in Fig. 5.
DOI: 10.6084/m9.figshare.21541882.v1
title: Additional file 13 of Exploration of the regulatory relationship between KRAB-Zfp clusters and their target transposable elements via a gene editing strategy at the cluster specific linker-associated sequences by CRISPR-Cas9

description: Additional file 13 Supplementary Table 5. sgRNA efficiency test in reporter system (raw data for Fig. 4B and D).
DOI: 10.6084/m9.figshare.21541893
title: Additional file 4 of CD19+CD24hiCD38hi regulatory B cells deficiency revealed severity and poor prognosis in patients with sepsis

description: Additional file 4. All original data generated or analyzed in the study.
DOI: 10.6084/m9.figshare.13153057
title: Additional file 12 of Genome-wide association studies and whole-genome prediction reveal the genetic architecture of KRN in maize

description: Additional file 12: Table S9. KRN prediction accuracies for different numbers of randomly selected tagSNPs (from 5 to 27,000).
DOI: 10.6084/m9.figshare.21541897
title: Additional file 16 of Exploration of the regulatory relationship between KRAB-Zfp clusters and their target transposable elements via a gene editing strategy at the cluster specific linker-associated sequences by CRISPR-Cas9

description: Additional file 16 Supplementary Table 8. Fingerprints of the 216 Human KRAB-ZFPs on chr19.