cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d0xt5
title: CCDC 2205427: Experimental Crystal Structure Determination

description: Related Article: Devesh Chandra|2022|CSD Communication|||
description: Related Article: Devesh Chandra, Nikunj Kumar, Sumit, Puneet Gupta, Upendra Sharma|2023|Mol.Catal.|551|113597|doi:10.1016/j.mcat.2023.113597
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10119832
title: Binned TIMED/SEE VUV irradiance data (January 2002 to June 2013)

description: This dataset contains the binned EUV irradiance daily index from January 2002 to June of 2013.
DOI: 10.5281/zenodo.10119833
title: Binned TIMED/SEE VUV irradiance data (January 2002 to June 2013)

description: This dataset contains the binned EUV irradiance daily index from January 2002 to June of 2013.
DOI: 10.13012/2k5c-rf13
title: Geographic Locations in English-Language Literature, 1701-2011
DOI: 10.18739/a26688m10
title: Accelerator Mass Spectrometry Textile Dating, Borgund, Norway (2020-2023)

description: This is the first sweep of dates carried out on the archaeological textiles from the site of Borgund, off the western Coast of Norway. There are 6 dates in the series that were processed on the 08/02/2019 but due to a current embargo on the project, this material is not available at the present time. The dates belong to part of a series of accelerator mass spectrometry (AMS) dates run on the site from diverse locations and time-frames. The project manager, Dr Gitten Hansen from the University of Bergen is currently still working on the phasing of the site. For more information on the project: https://www.uib.no/en/rg/borgund-kaupang Borgund Kaupang Project : An archaeological and multidisciplinary research project on the Borgund Kaupang by Aalesund in western Norway: Life and Death of a small town in the periphery of Europe The project (2019-2023) is supported by the Research Council of Norway : (NFR 288392)
DOI: 10.18739/a22f7js77
title: Accelerator Mass Spectrometry Textile Dating, Borgund Kaupang, Western Norway (2020-2023)

description: This is the first sweep of dates carried out on the archaeological textiles from the site of Borgund, off the western Coast of Norway. There are 6 dates in the series that were processed on 08/02/2019, but due to a current embargo on the project, this material is not available at the present time. The dates belong to a series of Accelerator Mass Spectrometry (AMS) dates run on the site from diverse locations and time- frames. The project manager, Dr. Gitten Hansen from the University of Bergen is currently still working on the phasing of the site. For details about the project: https://www.uib.no/en/rg/borgund-kaupang
DOI: 10.6084/m9.figshare.24570397.v1
title: TRMM at 1km-Resolution

description: Understanding the pixel-scale hydrology and the spatiotemporal distribution of regional precipitation requires high precision and high-resolution precipitation data. Satellite-based precipitation products have coarse spatial resolutions (~10 km–75 km), rendering them incapable of translating high-resolution precipitation variability induced by dynamic interactions between climatic forcing, ground cover, and altitude variations. We investigated the performance of a data-driven spatial downscaling procedure to generate fine-scale (1 km × 1 km) gridded precipitation estimates from the coarser resolution of TRMM data (~25 km) in the Indus Basin. The mixed geo-graphically weighted regression (MGWR) and random forest (RF) models were utilized to spatially downscale the TRMM precipitation data using high-resolution (1 km × 1 km) explanatory variables. Results indicated that the MGWR model performed better on fit and accuracy than the RF model in predicting the precipitation. Annual TRMM estimates after downscaling and calibration not only translate the spatial heterogeneity of precipitation but also improved the agreement with rain gauge observations with a reduction in RMSE and bias of ~88 mm/year and 27%, respectively. In general, the higher reduction in bias values after downscaling and calibration procedures was noted across the downstream low elevation zones (e.g., zone 1 correspond to elevation changes from 0 to 500 m). The low performance of precipitation products across elevation zone 3 (&gt;1000 m) might be associated with the fact that satellite observations at high-altitude regions with glacier coverage are most likely subjected to higher uncertainties. The high-resolution gridded precipitation data generated by the MGWR-based proposed framework can facilitate the characterization of distributed hydrology in the Indus Basin. The method may have strong adaptability in other catchments of the world, with varying climates and topography conditions.
DOI: 10.48577/jpl.ofnpsr
title: Understanding Changes in the Living World with Remote Sensing across Scales

description: Understanding Changes in the Living World with Remote Sensing across Scales
DOI: 10.18739/a2xp6v528
title: Textile Database from the site of Domkirkegatan, Bergen, Norway (2022-2025)

description: As part of Award no. 1733914, and largely the Borgund Kaupang Project, run through the University of Bergen and the Bryggen Museums, (Research Council of Norway : (NFR 288392)), material from the town of Bergen itself was analyzed as comparative data. This material is currently under embargo until 2025 as the Borgund Kaupang is still ongoing and under Norwegian federal law, it is required that all projects using their collections and samples must be completed before the data is shared publicly, as they view this as culturally sensitive and patrimonial heritage data that is proprietary to the country of origin. Further these datasets will need to be made public in Norway before being shared in the United States. The small site of Domkirkegatan is a little know site within Bryggen itself dating to the medieval period. This scientific investigation will employ a mixed methodology to document and analyze textile collections from rural and urban, North Atlantic and European contexts. Accelerator Mass Spectrometry (AMS), dye and material analyses, strontium isotope analyses, and X-Ray Fluorescence will be employed to further characterize North Atlantic collections and compare them to previously collected data assemblages. Strontium isotope analyses and portable X-ray fluorescence (pXRF) data of archaeological samples and modern wool will be carried out in order to map isotopic signatures geographically and provide insight into the movements of textiles and the compounds used in their production across long distances, such as to North America, northern Europe and Eurasia. Bringing together analyses ranging in scale from trans-continental trade to assessments of individual women's handiwork and to their products' elemental and isotopic signatures, this project has transformative potential to provide an engendered, interdisciplinary perspective on trade, women, and the emergence of early globalized economies in the North.
DOI: 10.48577/jpl.vpyrkd
title: Optical Accessible Spin Defects in Hexagonal Boron Nitride: Identification, Control and Application of the Negatively Charged Boron Vacancy

description: Optical Accessible Spin Defects in Hexagonal Boron Nitride: Identification, Control and Application of the Negatively Charged Boron Vacancy
DOI: 10.6084/m9.figshare.24235246
title: <b>Datasets to the article: Lethal and behavioural toxicity of differently aged insecticide residues on European earwigs (</b><b><i>Forficula auricularia</i></b><b>) in the laboratory and in the field</b>

description: datasets: laboratory and field experiments of residual effects of commonly used insecticides in orchards on european earwig
DOI: 10.6084/m9.figshare.24235246.v2
title: <b>Datasets to the article: Lethal and behavioural toxicity of differently aged insecticide residues on European earwigs (</b><b><i>Forficula auricularia</i></b><b>) in the laboratory and in the field</b>

description: datasets: laboratory and field experiments of residual effects of commonly used insecticides in orchards on european earwig
DOI: 10.6084/m9.figshare.24235246.v1
title: <b>Datasets to the article: Lethal and behavioural toxicity of differently aged insecticide residues on European earwigs (</b><b><i>Forficula auricularia</i></b><b>) in the laboratory and in the field</b>

description: datasets: laboratory and field experiments of residual effects of commonly used insecticides in orchards on european earwig
DOI: 10.18739/a2np1wk6m
title: Surface Mass Balance and Snow Depth on Sea Ice Working Group (SUMup) snow density subdataset, Greenland and Antartica, 1952-2019

description: This dataset includes snow density measurements from both hemispheres. This dataset is a community effort to distribute easy to use in-situ data to improve surface mass balance modeling and remote sensing efforts. This dataset is a compilation of work from many individual researchers. When using this dataset please cite both the individual researchers who provided the data as listed in the Citation field as well as this dataset. This dataset includes snow density measurements over both ice sheets, ice caps and snow on sea ice. It excludes seasonal snow on land measurements. The dataset contains over 2,200,000 point measurements of density at different depths. The measurement methods include different sized density cutters (generally from 100 - 1000 cc (cubic centimeters)) used in snow pits, ice core sections, neutron-density methods, X-ray microfocus computer tomography, Gamma-ray attenuation, pycnometers, optical televiewer (OPTV) borehole logging, and Density-and-conductivity mixed permittivity (DECOMP).The majority of the observations (~72%) come from Greenland ice cores or snow pits. Antarctic data comprises ~28% of the snow density subdataset and is predominately from ice cores. The depth of the density measurements are recorded using two different methods, either the top and bottom depth or a midpoint depth. Fields of the data include the date taken, latitude, longitude, start depth, stop depth, midpoint depth, density, error, elevation, method, and associated citation.
DOI: 10.48577/jpl.refv3p
title: NASA's New Orbital Imaging Spectrometers: EMIT and SBG

description: NASA's New Orbital Imaging Spectrometers: EMIT and SBG
DOI: 10.18739/a2hx15s2v
title: Surface Mass Balance and Snow Depth on Sea Ice Working Group (SUMup) snow depth on sea ice subdataset, Antarctica and Baltic Sea, 1990-2018

description: This dataset includes snow depth on sea ice measurements from both hemispheres. This dataset is a community effort to distribute easy to use in-situ data to improve surface mass balance modeling and remote sensing efforts. This dataset is a compilation of work from many individual researchers. When using this dataset please cite both the individual researchers who provided the data as listed in the Citation field as well as this dataset. The ~92,000 measurements of snow depth on sea ice are from the Arctic (96% of the measurements) and the Antarctic represents the remaining 4%. The measurement methods include rulers, magnaprobes, and avalanche probes.
DOI: 10.5281/zenodo.6999003
title: Microchamber slide design for cell confinement during imaging- measurements

description: Spreadsheet of measurements of cells using CellProfiler.
DOI: 10.5281/zenodo.6999004
title: Microchamber slide design for cell confinement during imaging- measurements

description: Spreadsheet of measurements of cells using CellProfiler.
DOI: 10.48577/jpl.asqkcd
title: The High Energy X-ray Probe: Resolved X-ray Populations in Extragalactic Environments

description: The High Energy X-ray Probe (HEX-P) is a probe-class mission concept that will combine high spatial resolution X-ray imaging (&lt;20 arcsec FWHM) and broad spectral coverage (0.2–80 keV) with a sensitivity superior to current facilities (including XMM-Newton and NuSTAR). HEX-P will enable revolutionary new insights into a variety of important astrophysical problems. We present simulations of HEX-P observations of a variety of extragalactic environments (e.g., normal, starburst, and passive galaxies) to demonstrate the power of the HEX-P observatory. We show that HEX-P will be capable of detecting hard (4–25 keV) X-ray emission from resolved point-source populations within ∼800 galaxies and integrated emission from ∼6000 galaxies out to 100 Mpc. In such galaxies, HEX-P will: (1) provide unique information about X-ray binary populations, including accretor demographics (black hole and neutron stars), distributions of accretion states and state transition cadences; (2) place order-of-magnitude more stringent constraints on inverse Compton emission associated with particle acceleration in starburst environments; and (3) put into clear context the contributions from X-ray emitting populations to both ionizing the surrounding interstellar medium in low-metallicity galaxies and heating the intergalactic medium in the z &gt; 8 Universe.
DOI: 10.48577/jpl.3ayagf
title: The High Energy X-ray Probe (HEX-P): Studying Extreme Accretion with Ultraluminous X-ray Sources

description: Ultraluminous X-ray sources (ULXs) represent an extreme class of accreting compact objects: from the identification of some of the accretors as neutron stars to the detection of powerful winds travelling at 0.1-0.2 c, the increasing evidence points towards ULXs harbouring stellar- mass compact objects undergoing highly super-Eddington accretion. Measuring their intrinsic properties, such as the accretion rate onto the compact object, the outflow rate, the masses of accretor/companion – hence their progenitors, lifetimes, and future evolution – is challenging due to them being mostly extragalactic and in crowded fields. Yet ULXs represent our best opportunity to understand super-Eddington accretion physics and the paths through binary evolution to eventual double compact object binaries and gravitational-wave sources. We describe the value of HEX-P to understanding ULXs and their associated key physics, through a combination of broadband sensitivity, timing resolution, and angular resolution which make the mission ideal for pulsation detection and low-background broadband spectral studies.
DOI: 10.48577/jpl.zxkjnx
title: Data downloaded by parachute from a NASA superpressure balloon

description: In April-May 2023, the SUPERBIT telescope was lifted to the Earth’s stratosphere by a 1 helium-filled superpressure balloon, to acquire astronomical imaging from above (99.7% of) the 2 Earth’s atmosphere. It was launched from New Zealand then, for 40 days, circumnavigated the 3 globe five times at a latitude 40-50 degrees South. Attached to the telescope were four “DRS” (Data 4 Recovery System) capsules containing 5TB solid state data storage, plus a GNSS receiver, Iridium 5 transmitter, and parachute. Data from the telescope were copied to these, and two were dropped 6 over Argentina. They drifted 61km horizontally while they descended 32 km, but we predicted their 7 descent vectors within 2.4 km: in this location, the discrepancy appears irreducible below ∼2km 8 because of high wind speeds and small-scale variations in wind and topography. The capsules then 9 reported their own locations to within a few metres. We recovered the capsules and successfully 10 retrieved all of SUPERBIT’s data—despite the telescope itself being later destroyed on landing.
DOI: 10.48577/jpl.2x82dp
title: Modeling of Recovery Efficiency of Sampling Devices used in Planetary Protection Bioburden Estimation

description: Planetary protection is a discipline dedicated to preventing biological contamination between celestial bodies and Earth during space exploration to ensure the integrity of scientific research. National space agencies such as the National Aeronautics and Space Administration and the European Space Agency set biological cleanliness requirements for their missions based on the guidelines provided in The Committee on Space Research’s Planetary Protection Policy. Compliance with these requirements is often demonstrated by surface sampling of spacecraft hardware and associated surfaces to enumerate the number of microorganisms present and establish that they are below the required level. The discipline has employed a variety of tools to perform sampling; the recovery efficiency of which is a key parameter used to generate spacecraft level cleanliness estimates. In this study, we investigated how recovery efficiency differs by inoculum amount and species. This was analyzed across different sampling devices using a set of microorganisms applied to stainless steel surfaces (representative of spacecraft surfaces) and two processing methods. Data were analyzed by developing a probabilistic model of the experimental process, from stainless steel coupon inoculation through recovery of spores observed in the form of colony forming units. The model quantifies the probability that an individual spore is recovered, a key metric for predicting bioburden and statistically assessing bioburden requirements. A cost function was developed to identify those assay methods that provided optimal bioburden estimation capability. Results show the nylon-flocked swab and the TX3211 wipe yield the highest recovery efficiency of those tested.
DOI: 10.48577/jpl.6vl1nq
title: Deep Learning Estimation of Northern Hemisphere Soil Freeze-Thaw Dynamics using Satellite Multi-frequency Microwave Brightness Temperature Observations

description: Satellite microwave sensors are well suited for monitoring landscape freeze-thaw (FT) transitions owing to the strong brightness temperature (TB) or backscatter response to changes in liquid water abundance between predominantly frozen and thawed conditions. The FT retrieval is also a sensitive climate indicator with strong biophysical importance. However, retrieval algorithms can have difficulty distinguishing the FT status of soils from that of overlying features such as snow and vegetation, while variable land conditions can also degrade performance. Here, we applied a deep learning model using a multilayer convolutional neural network driven by AMSR2 and SMAP TB records, and trained on surface (~0-5cm depth) soil temperature FT observations. Soil FT estimates were derived for the local morning and evening conditions corresponding to SMAP orbital overpasses, mapped to a 9-km polar grid spanning a five-year (2016-2020) record and Northern Hemisphere domain. Continuous variable estimates of the probability of frozen or thawed conditions were derived using a model cost function optimized against FT observational training data. Model results derived using combined multi-frequency (1.4, 18.7, 36.5 GHz) TBs produced the highest soil FT accuracy over other models derived using only single sensor or single frequency TB inputs. Moreover, SMAP L-band (1.4 GHz) TBs provided enhanced soil FT information and performance gain over model results derived using only AMSR2 TB inputs. The resulting soil FT record showed favorable and consistent performance against soil FT observations from ERA5 reanalysis (mean percent accuracy, MPA: 92.7%) and in situ weather stations (MPA: 91.0%). The soil FT accuracy was generally consistent between morning and afternoon predictions and across different land covers and seasons. The model also showed better FT This is a provisional file, not the final typeset article accuracy than ERA5 against regional weather station measurements (91.0% vs 86.1% MPA). However, model confidence was lower in complex terrain where FT spatial heterogeneity was likely beneath the effective model grain size. Our results provide a high level of precision in mapping soil FT dynamics to improve understanding of complex seasonal transitions and their influence on ecological processes and climate feedbacks, with the potential to inform Earth system model predictions.
DOI: 10.48577/jpl.itgcz3
title: NASA’s Safety, Reliability, and Mission Assurance Digital Future

description: The evolution from “document-centric” to “data-centric” and “model-centric” information leveraging structured data and model-based approaches is at the heart of digital engineering transformational efforts underway across industry and government. It is these approaches that pave the way for data lakes, Authoritative Sources of Truth (ASOTs), and systems-of-systems interoperability and the corresponding transformational benefits thereof. Such benefits include increased data availability, data access equity, data traceability, real-time analytics, batch analytics, and (most importantly) acceleration of the time-to-value and time-to-insights associated with engineering products and analyses. The longer-term benefits of reusability, customization and traceability are even more promising.For Safety and Mission Assurance (SMA), and Mission Success (SMS) activities; realization of such benefits is essential to provide engineers and analysts alike vital information when needed to support critical decision making throughout the entire life cycle. The SMA community often operate in parallel with engineering activities, for which information exchange with relevant context is paramount. Far too often, such information lags key decision points and/or is absent of the robust, integrated, knowledge needed, given inherent barriers associated with traditional document-centric means to data sharing, analysis, and reporting.This paper provides an overview of how NASA’s Office of Safety and Mission Assurance (OSMA) is evolving its policies, standards, guidance, and training to transform to eliminate such barriers, thus realizing the benefits emerging in this new digital era. A roadmap for achieving this digital future is presented along with key building blocks involving use and implementation of concepts such as: Objectives-Hierarchies, Objective-Driven Requirements, Accepted Standards, Safety and Assurance Cases, data digitization (i.e., ontologies, structured data, and model-centric data), FAIR (Findable, Accessible, Interoperable, & Reusable) and/or FAIRUST (Findable, Accessible, Interoperable, Reusable, Understandable, Secure, and Trusted) principles [1]. This paper also describes how OSMA, leveraging the Agency’s overall commitment to Digital Transformation (DT), is using the power of Policy, “Digital” Domain representation, Product Evolution, and Community Outreach and Engagement as part of a strategic vision and roadmap to evolve and transform its SMA organizations to become better able to serve its stakeholders and customers. Future publications will elaborate on these building blocks and deeper concepts.