cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1vm49rh
title: Compiled occurrence records for prey items of listed species found in California drylands with associated environmental data

description: This dataset contains cleaned GBIF (www.gbif.org) occurrence records and associated climate and environmental data for all arthropod prey of listed species in California drylands as identified in Lortie et al. (2023): https://besjournals.onlinelibrary.wiley.com/doi/full/10.1002/2688-8319.12251. All arthropod records were downloaded from GBIF (https://doi.org/10.15468/dl.ngym3r) on 14 November 2022. Records were imported into R using the rgbif package and cleaned with the coordinateCleaner package to remove occurrence data with likely errors. Environmental data include bioclimatic variables from WorldClim (www.worldclim.org), landcover and NDVI data from MODIS and the LPDAAC (https://lpdaac.usgs.gov/), elevation data from the USGS (https://www.sciencebase.gov/catalog/item/542aebf9e4b057766eed286a), and distance to the nearest road from the census bureau's TIGER/Line road shapefile (https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html). All environmental data were combined into a stacked raster and we extracted the environmental variables for each occurrence record from this raster to make the final dataset.
DOI: 10.6084/m9.figshare.23688760.v1
title: jellyfish2monophylytest from A macroscopic free-swimming medusa from the middle Cambrian burgess shale

description: Monophyly tests
DOI: 10.5281/zenodo.8214266
title: Supplemental Material to Article "Quantification of process-induced effects on fatigue life of short-glass-fiber-filled adhesive used in wind turbine rotor blades"

description: This set supplements the figure data to the article "Quantification of process-induced effects on fatigue life of short-glass-fiber-filled adhesive used in wind turbine rotor blades", DOI: xxx
DOI: 10.5281/zenodo.8214265
title: Supplemental Material to Article "Quantification of process-induced effects on fatigue life of short-glass-fiber-filled adhesive used in wind turbine rotor blades"

description: This set supplements the figure data to the article "Quantification of process-induced effects on fatigue life of short-glass-fiber-filled adhesive used in wind turbine rotor blades", DOI: xxx
DOI: 10.6084/m9.figshare.23902035
title: Example of post processed analysis data folder

description: This dataset contains analysis
DOI: 10.6084/m9.figshare.23902035.v1
title: Example of post processed analysis data folder

description: This dataset contains analysis
DOI: 10.48577/jpl.cfrypl
title: Consistent and Repeatable Transistor Level TID Transistor Array Measurement

description: TOTAL ionizing dose (TID) induced threshold voltage (Vt) shifts limit reliability in integrated circuits (ICs) used in spacecraft. Deposited electron hole pairs are subject to recombination. However, less mobile holes can be trapped as fixed positive charge, altering the (front gate) Vt [1-3]. Core (logic) transistors in a modern silicon on insulator (SOI) process have thin enough front gates so that little or no charge is collected, so charge TID primarily affects the buried oxide (BOX) [3-4]. Both NMOS and PMOS devices experience TID induced Vt shifts in the same direction from trapped positive charges, so TID decreases PMOS transistor current drive and leakage and increases NMOS current drive and leakage. Therefore, to characterize and thus model the reliability of ICs intended for spaceflight, the transistor level TID response must be characterized. This summary describes a transistor array designed to support that characterization, fabricated on a fully depleted SOI (FDSOI) 22 nm process [5]. The current vs. voltage (I-V) fidelity of measured transistors is very good. Higher multiplexer voltages allow choice of bias to remove unwanted multiplexer artifacts. The extracted Vt shift vs. dose trajectories show excellent consistency between identical and similar devices.
DOI: 10.48577/jpl.qdpunb
title: Nulling Interferometry with Optical Fibers and Photonic Lanterns

description: The combination of diffraction due to a telescope’s finite pupil diameter and scattering due to imperfect wavefronts leads to bright halos of light surrounding typical stellar images. This severely limits a telescope’s ability to detect faint sources near bright stars, such as that from exoplanets and circumstellar dust. As a result, optical techniques that enable high contrast observations at the smallest possible angular separations are of great interest. Interfering the light arriving at different parts of a telescope aperture (sub-apertures) can potentially yield improved resolution, and appropriately phasing the sub apertures can interferometrically suppress (null) starlight. This technique of nulling interferometry [1] across a telescope’s aperture can enable observations closer to a star than classical full-aperture coronagraphic imaging, providing access to separations where exoplanets are expected to be brighter and more numerous.
DOI: 10.48577/jpl.0jq18i
title: Electron Transport Chains as a Window into the Earliest Stages of Evolution

description: Our understanding of the origin and early evolution of life is generally studied under two different paradigms: bottom up and top down. Prebiotic chemistry and early Earth geochemistry allow researchers to explore possible origin of life scenarios. But for these “bottom up” approaches, even successful experiments only amount to a proof of principle. On the other hand, phylogenetic “top down” research on early evolutionary history is able to provide a historical account about ancient organisms, but is unable to investigate evolutionary events that occurred during and just after the origin of life. Here, we consider ancient electron transport chains (ETCs) as a potential bridge between prebiotic geochemistry and early evolutionary history. Current phylogenetic evidence suggests that the ATP synthase motor that converts pH gradients across membranes into stored chemical potential energy and the cellular organization that would have been required for membrane bioenergetics, both predate the last universal common ancestor (LUCA) of life. At the same time, recent experiments have shown that some aspects of modern electron transport chains can be replicated by minerals, protocells, and/or organic cofactors in the absence of proteins. We review the diversity of prokaryotic electron transport chains, describe current work on the early evolution of cellular organization and prebiotic membrane energetics, and advocate for several lines of research to bridge our understanding of the earliest evolution of membrane bioenergetics across prebiotic geochemistry and early evolution.
DOI: 10.48577/jpl.vmamsj
title: Exploring Martian Magnetic Fields with a Helicopter

description: The era of helicopter-based surveys on Mars has already begun creating opportunities for future aerial science investigations with a range of instruments. We argue that magnetometer-based studies can make use of aerial technology to answer some of the key questions regarding early Mars evolution. As such, we discuss mission concepts for a helicopter equipped with a magnetometer on Mars, measurements it would provide and survey designs that could be implemented. For a range of scenarios, we build magnetization models and test how well structures can be resolved using a range of different inversion approaches. With this work we provide modeling ground work and recommendations to plan the future of aerial Mars exploration.
DOI: 10.48577/jpl.li3mi0
title: Localized uplift, widespread subsidence and implications for sea level rise in the NYC Metropolitan Area

description: Regional relative sea level rise is exacerbating flooding hazards in the coastal zone. In addition to changes in the ocean, atmosphere, and cryosphere, vertical land motion is a driver of spatial variation in sea-level change that can either diminish or enhance flood risk. Here we apply Interferometric Synthetic Aperture Radar (InSAR) time-series analysis to estimate velocities and corresponding uncertainties at 30 m resolution in the New York City Metropolitan Area. We find broad subsidence, consistent with glacial isostatic adjustment to the melting of the former ice sheets, and hotspots of both subsidence and uplift that can be physically explained in some locations.. Our results can inform ongoing efforts to adapt to sea-level rise and reveal hitherto unobserved hotspots that motivate future science and applications.
DOI: 10.48577/jpl.jgjvzb
title: K-sharp: a segmented regression approach for image sharpening and normalization

description: In recent decades, Earth Observation (EO) satellite missions have improved in spatial resolution and revisit times. These missions, traditionally government-funded, utilize state-of-the-art technology and rigorous instrument calibration, with each mission costing millions of dollars. Recently, nano-satellites known as CubeSats are presenting a cost-effective option for EO; their capacity of working as a constellation has brought an unprecedented opportunity for EO in terms of achievable spatial and temporal resolutions, albeit at the cost of decreased accuracy and cross-sensor consistency. As such, CubeSat datasets often require post-calibration approaches before using them for scientific applications. K-sharp is a relatively simple, data-agnostic machine learning approach that combines K-means and partial least squares regression to derive relationships between two sets of images for normalization. This study used Planet's four-band CubeSat imagery to sharpen day-coincident Landsat 8 normalized difference vegetation index, albedo, and the first short-wave infrared (SWIR) band from 30 m to 3 m spatial resolution (it should be noted that the four-band CubeSat product does not include the first SWIR band, and that the calculation of albedo is not directly possible from this product). K-sharp was tested over agricultural, savanna, rainforest, and tundra sites with and without atmospheric correction. Our model reproduced surface conditions with an average r² of 0.88 (rMAE = 11.39%) across all study sites and target variables when compared against the original Landsat 8 data. These results showcase the promising potential of K-sharp in generating precise, CubeSat-derived datasets with high radiometric quality, which can be incorporated into agricultural or ecological applications to enhance their decision-making process at fine spatial scales.
DOI: 10.48577/jpl.esdbmw
title: Use of Google Earth Engine for Teaching Coding and Monitoring of Environmental Change: A Case Study among STEM and Non-STEM Students

description: Computational skills are advantageous for teaching students to investigate environmental change using satellite remote sensing. This focus is especially relevant given the disproportionate underrepresentation of minorities and women in STEM fields. This study quantified the effects in both a STEM and a non-STEM class of Earth science remote sensing modules in Google Earth Engine on students’ self-efficacy in coding, understanding remote sensing, and interest in science and a career in environmental research. Additionally, the STEM students engaged in a course-based un-dergraduate research experience (CURE) on water quality. Satellite imagery was used to visualize water quality changes in coastal areas around the world due to the COVID-19 pandemic shutdown. Pre- and post-surveys reveal statistically significant changes in most students’ confidence to apply coding skills to investigate environmental change and understand remote sensing. The intervention was not sufficient to lead to significant changes in interest in science or a career in environmental research. There is great benefit in incorporating remote sensing labs to teach environmental con-cepts to STEM and non-STEM students and to bolster the confidence of underrepresented minorities and females in STEM.
DOI: 10.48577/jpl.m7bztk
title: Statistical Prediction of [CII] Observations by Constructing Probability Density Functions using SOFIA, Herschel, and Spitzer Observations

description: We present a statistical algorithm for predicting the [CII] emission from Herschel and Spitzer continuum images using probability density functions between the [CII] emission and continuum emission. The [CII] emission at 158 m is a critical tracer in studying the life cycle of interstellar medium and galaxy evolution. Unfortunately, its frequency is in the far infrared (FIR), which is opaque through the troposphere and cannot be observed from the ground except for highly red-shifted sources (z & 2). Typically [CII] observations of closer regions have been carried out using suborbital or space observatories. Given the high cost of these facilities and limited time availability, it is important to have highly e cient observations/operations in terms of maximizing science returns. This requires accurate prediction of the strength of emission lines and, therefore, the time required for their observation. However, [CII] emission has been hard to predict due to a lack of strong correlations with other observables. Here we adopt a new approach to making accurate predictions of [CII] emission by relating this emission simultaneously to several tracers of dust emission in the same region. This is done using a statistical methodology utilizing probability density functions (PDFs) among [CII] emission and Spitzer IRAC and Herschel PACS/SPIRE images. Our test result toward a star-forming region, RCW 120, demonstrates that our methodology delivers high-quality predictions with less than 30% uncertainties over 80% of the entire observation area, which is more than su cient to test observation feasibility and maximize science return. The pickle dump les storing the PDFs and trained neural network module are accessible upon request and will support future far-infrared missions, for example, GUSTO and FIR Probe.
DOI: 10.48577/jpl.wfduha
title: Satellite Altimetry for Ocean and Coastal Applications: A Review

description: More than 30 years of observations from an international suite of satellite altimeter missions continue to provide key data enabling research discoveries and a broad spectrum of operational and user-driven applications. These missions were designed to advance technologies and to an-swer scientific questions about ocean circulation, ocean heat content, and the impact of climate change on these Earth systems. They are also a valuable resource for the operational needs of oceanographic and weather forecasting agencies that provide information to shipping and fishing vessels and offshore operations for route optimization and safety, as well as for other deci-sion-makers in coastal, water resources and disaster management fields. This time series of pre-cise measurements of ocean surface topography (OST)—the “hills and valleys” of the ocean sur-face—reveals changes in ocean dynamic topography, tracks sea level variations at global to re-gional scales, and provides key information about ocean trends reflecting climate change in our warming world. Advancing technologies in new satellite systems allows measurements at higher spatial resolution ever-closer to coastlines, where the impacts of storms, waves, and sea level rise on coastal communities and infrastructure are manifest. We review some collaborative efforts of international space agencies, including NASA, CNES, NOAA, ESA, and EUMETSAT, which have contributed to a collection of use cases of satellite altimetry in operational and decision-support contexts. The extended time series of precise ocean surface topography measurements obtained from these satellite altimeter missions, along with advances in satellite technology that have al-lowed for higher resolution measurements closer to coastlines, has enabled a range of such appli-cations. The resulting body of knowledge and data enables better assessment of storms, waves, sea level rise impacts on coastal communities and infrastructure amongst other key contributions for societal benefit. Although not exhaustive, this work provides a broad overview with specific examples of the important role of satellite altimetry in ocean and coastal applications, thus justi-fying the significant resource contributions made by international space agencies in the develop-ment of these missions.
DOI: 10.5281/zenodo.8212886
title: In Crystallo Lattice Adaptivity Triggered by Solid-Gas Reactions of Cationic Group 7 Pincer Complexes

description: 3DED/microED datasets of [Mn(<sup>i</sup>Pr-PONOP)(CO)<sub>3</sub>][BAr<sup>F</sup><sub>4</sub>] collected using a Thermo Fisher Scientific Glacios microscope equipped with a Ceta-D Camera associated with the publication "In Crystallo Lattice Adaptivity Triggered by Solid-Gas Reactions of Cationic Group 7 Pincer Complexes" published in Chem. Commun. Data collection details: 200kV, nanoprobe, gun lens 8, spot size 11, 30 µm C2 aperture. Illuminated area was ~1 µm. Under these conditions flux is 0.06 – 0.07 e-/Å^2/s. Camera length calibrated from Al powder was 958.5 mm. Data acquired using EPU-D with following settings: 2x binning, 2°/s, 0.5s exposure, rolling shutter, noise reduction mode enabled. MRC format images can be processed with DIALS using the FormatMRC dxtbx format (distributed with DIALS from version 3.5 onwards), use goniometer.axes=1,0,0.
DOI: 10.5281/zenodo.8212887
title: In Crystallo Lattice Adaptivity Triggered by Solid-Gas Reactions of Cationic Group 7 Pincer Complexes

description: 3DED/microED datasets of [Mn(<sup>i</sup>Pr-PONOP)(CO)<sub>3</sub>][BAr<sup>F</sup><sub>4</sub>] collected using a Thermo Fisher Scientific Glacios microscope equipped with a Ceta-D Camera associated with the publication "In Crystallo Lattice Adaptivity Triggered by Solid-Gas Reactions of Cationic Group 7 Pincer Complexes" published in Chem. Commun. Data collection details: 200kV, nanoprobe, gun lens 8, spot size 11, 30 µm C2 aperture. Illuminated area was ~1 µm. Under these conditions flux is 0.06 – 0.07 e-/Å^2/s. Camera length calibrated from Al powder was 958.5 mm. Data acquired using EPU-D with following settings: 2x binning, 2°/s, 0.5s exposure, rolling shutter, noise reduction mode enabled. MRC format images can be processed with DIALS using the FormatMRC dxtbx format (distributed with DIALS from version 3.5 onwards), use goniometer.axes=1,0,0.
DOI: 10.48577/jpl.eep4ki
title: Passive Microwave Radiometry at Different Frequency Bands for River Discharge Retrievals

description: The present era of climate change and expanding population requires major improvements in sustained observation of global river discharge. Floods and droughts are affecting food supplies, and any long-term trends require appropriate data for evaluation. Orbital remote sensing can address this essential need. Here we use satellite Ka- (36.5 GHz) and L-band (1-2 GHz) passive microwave radiometry (PMR) to monitor river discharge changes and determine what size rivers can be measured and the frequencies and polarization configurations that yield the most robust results. Selected satellite gauging reaches (SGRs) can be measured at near-daily intervals from 1998 to present (Ka-band) and 2010 to present (L-band). The SGRs are 10-36 km in length; the dynamic proportion of water surface area within each is used to monitor river discharge. Due to contrasting dielectric properties, water and land emit different intensities of microwave radiation; thus emission from a mixed water/land pixel decreases as the proportion of water within the pixel increases. Depending on the river and floodplain morphology, water flow area can be a robust indicator of discharge and the microwave sensors can retrieve daily discharge to ± 20% error?. Instead of spatial resolution, it is the sensor measurement precision, geolocation accuracy, and channel and floodplain morphology that most strongly affect accuracy. Calibration of flow area signals to discharge can be performed using nearby ground stations (even if now discontinued) or by comparison to hydrologic modeling.
DOI: 10.48577/jpl.x4ast3
title: Evaluating Habitat Suitability and Tidal Wetland Restoration Actions with ECOSTRESS

description: As temperatures rise in aquatic ecosystems, it is increasingly important to mon- itor changes in habitat conditions for aquatic species and mitigate emerging stressors. The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) instrument provides temperature products at a spatial and temporal scale not previously available. Here, we utilize ECOSTRESS temperature products to assess fluctuations in thermal habitat suitability for an endangered fish species and we also demonstrate the utility of the dataset to assess water surface and bulk temperature changes following com- pletion of two tidal wetland restoration efforts in the San Francisco Estuary and Sacra- mento–San Joaquin River Delta (Bay Delta). During all hours of the day throughout the 2018 - 2022 study period, key Delta Smelt habitat areas including Honker Bay, West Suisun Bay, and Mid Suisun Bay had greater than 75% of their areas suitable with a few exceptions when less than 25% of the area was thermally suitable. However, midday hours are less frequently suitable than morning and evening hours. Early evidence from ECOSTRESS indicates that there may be a decrease in surface water temperature of up to several de- grees in tidal restoration areas, but more data is needed to show statistically significant outcomes. The ECOSTRESS record is still limited and a longer record is needed to fully capture temperature changes associated with wetland processes and restoration efforts. Future applications of ECOSTRESS products can help further understand ecosystem conditions and how restoration efforts affect water temperature, informing decisions that benefit Delta Smelt and other at-risk aquatic species.
DOI: 10.48577/jpl.cgxoqg
title: Long-term variability of Jupiter's northern mid-infrared auroral CH4 emissions

description: We present a study of the long term variability of Jupiter’s mid-infrared CH4 auroral emissions. 7.7-7.9 m images of Jupiter recorded by NASA’s Infrared Telescope Facility, Subaru and Gemini-South over the last three decades were collated in order to quantify the magnitude and timescales over which the northern auroral hotspot’s CH4 emission varies. These emissions predominantly sound the 10- to 1-mbar pressure range and therefore highlight the temporal variability of lower-stratospheric auroral-related heating. We find that the ratio of the radiance of the poleward northern auroral emissions to a lower-latitude zonal-mean, henceforth ‘Relative Poleward Radiance’ or RPR, exhibits varability over a 37% range and over a range of apparent timescales. We searched for patterns of variability in order to test whether seasonally varying solar insolation, the 11-year solar cycle, or short-term solar wind variability at Jupiter’s magnetopause could explain the observed evolution. The variability of the RPR exhibits a weak (r &lt; 0.2) correlation with both the instantaneous and phase-lagged solar insolation received at Jupiter’s high-northern latitudes. This rules out the hypothesis suggested in previous work (e.g. Sinclair et al. 2017a, 2018) that shortwave solar heating of aurorally produced haze particles is the dominant auroral-related heating mechanism in the lower stratosphere. We also find the variability exhibits negligible (r &lt; 0.18) correlation with both the instantaneous and phase-lagged monthly-mean sunspot number, which therefore rules out a long-term variability associated with the solar cycle. On shorter timescales, we find moderate correlations of the RPR with solar wind conditions at Jupiter in the preceding days before images were recorded. For example, we find correlations of r = 0.45 and r = 0.51 of the RPR with the mean and standard deviation solar wind dynamical pressure in the preceding 7 days. The moderate correlation suggests that either: 1) only a subset of solar wind compressions lead to brighter, poleward CH4 emissions and/or 2) a subset of CH4 emission brightening events are driven by internal magnetospheric processes (e.g. Io activity) and independent of solar wind enhancements.