cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.bowdvx
title: 2022 Kuiper Prize Lecture: From Pinpoints of Light to Geologic Worlds: The Magic of Photometry

description: Robotic exploration of the Solar System revealed one planet, moon, or small body after another as unique geologic worlds. Simultaneously, photometric modeling arose as a complementary field that described both the macroscopic and microscopic features of the surface, including roughness (often at scales below the resolution limit of instruments), compaction states, and the sizes of particles comprising the upper regolith. This “hypervision” positioned photometric analysis with an uncanny ability to claim priority in a number of foundational discoveries, including the prediction that Uranus possessed a family of outer irregular moons, that Titan possessed two major categories of landforms defined by their roughness, that Enceladus was geologically active, that seasonal volatile transport was occurring in the outer Solar System, and that the low-albedo side of Iapetus was exogenously placed. Hints of discoveries yet to come include active cryovolcanism on Europa, a geologically active (136199) Eris, and a small or non-existent polar cap on Triton.
DOI: 10.48577/jpl.pkqx0e
title: The Impact of Recent Climate Change on the Seasonal Phenology of Arctic Ocean Phytoplankton Blooms

description: In the recent past, the Arctic Ocean (AO) has undergone extreme climate variations as17 sociated with extensive seasonal sea-ice loss, particularly the severe loss event in 2007, 18 2012, and 2019. Additionally, Arctic warming has caused both earlier sea-ice melting in 19 spring and delayed sea-ice formation in the fall, resulting in direct consequences for the 20 AO phytoplankton blooms phenology. In this study we gain mechanistic understanding 21 of the processes controlling the changing dynamics of AO phytoplankton bloom using 22 an ocean biogeochemistry model that is based on physical ocean and sea ice state esti23 mates from the Estimating the Circulation and Climate of the Ocean (ECCO) Project 24 and on simulated marine microbes from the Massachusetts Institute of Technology (MIT) 25 Darwin Project. We focus on the 2006{2013 period which includes the 2007 and 2012 26 drastic sea-ice loss events. Our simulations show that early sea-ice melt onset in 2007 27 and 2012 triggered phytoplankton blooms in the Barents, East Siberian, and Chukchi 28 Seas approximately 1 month earlier than during other simulated years. The 2007 phy29 toplankton bloom is dissipated earlier than during other years due to the earlier deple30 tion of nutrients in the euphotic zone. Our model also shows that the delayed formation 31 of sea ice during fall triggers second fall blooms in the eastern (Barents and Kara Seas) 32 and western AO (Chukchi, Beaufort Seas, Canadian Archipelago, and Ba n Bay), match33 ing previous observational studies. Our model also captures the northward migration of 34 the spring phytoplankton bloom following the retreating sea-ice edge.
DOI: 10.48577/jpl.92zbcm
title: Dust soiling effects on decentralized solar in West Africa

description: West Africa’s proximity to the Sahara Desert can cause photovoltaic (PV) systems to experience significant power generation reductions when particulates settle onto solar panel surfaces in a phenomenon known as soiling. Previous studies have created models to estimate PV soiling globally, but these models have several limitations in the region due to the accuracy of the input particular matter (PM) concentration values, the accuracy of methods for computing power loss, and the regional use of decentralized solar systems. Here we develop and apply a methodology for the development of a soiling estimation model based on the Coello framework, and evaluate it when using input PM concentration values from both a reanalysis dataset (MERRA-2) and a dataset derived from satellite-observations (WUSTL). This model reduces error in soiling-related power loss estimates by approximately 50% when compared to the unadjusted Coello approach. Using this model, we find soiling losses can exceed 50% in the most greatly affected locations during the Harmattan season and these power losses can vary considerably each year (between 26-53% in Niamey, Niger). To support PV system design, we develop a function that relates maximum soiling losses to annual cleaning frequencies in major cities. Finally, we find if decentralized solar is used to meet electricity access goals as projected, PV cleaning costs could sum up to $1Bn (USD) annually in sub-Saharan Africa by 2030.
DOI: 10.48577/jpl.taan4u
title: Corrections for Geostationary Cloud Liquid Water Path Using Microwave Imagery

description: Geostationary observations provide measurements of the in-cloud liquid water path (LWP), permitting continuous observation of cloud evolution through the daylit portion of the diurnal cycle. Unfortunately, these observations have biases related to scattering geometry, which systematically varies throughout the day. Therefore, we develop a set of bias corrections using LWP derived from microwave imagery for the Geostationary Operational Environmental Satellites (GOES-16 and GOES-17) observations of LWP derived using retrieved cloud-optical properties. The bias corrections are defined using scattering geometry (solar zenith, sensor zenith, and relative azimuth) and low-cloud fraction. Over the low-cloud regions of the northeast and southeast Pacific, we demonstrate that these bias corrections drastically improve characteristics of the retrieved LWP including its regional distribution, diurnal variation, and evolution along short-time-scale Lagrangian trajectories.
DOI: 10.48577/jpl.2zkyw8
title: Three low-mass companions around aged stars discovered by TESS

description: We report the discovery of three transiting low-mass companions to aged stars: a brown dwarf (TOI-2336b) and two objects near the hydrogen burning mass limit (TOI-1608b and TOI-2521b). These three systems were first identified using data from the Transiting Exoplanet Survey Satellite (TESS). TOI-2336b has a radius of 1.05 ± 0.04 𝑅𝐽 , a mass of 69.9 ± 2.3 𝑀𝐽 and an orbital period of 7.71 days. TOI-1608b has a radius of 1.21 ± 0.06 𝑅𝐽 , a mass of 90.7 ± 3.7 𝑀𝐽 and an orbital period of 2.47 days. TOI-2521b has a radius of 1.01 ± 0.04 𝑅𝐽 , a mass of 77.5 ± 3.3 𝑀𝐽 and an orbital period of 5.56 days. We found all these low-mass companions are inflated. We fitted a relation between radius, mass and incident flux using the sample of known transiting brown dwarfs and low-mass M dwarfs. We found a positive correlation between the flux and the radius for brown dwarfs and for low-mass stars that is weaker than the correlation observed for giant planets.
DOI: 10.48577/jpl.urqgcs
title: 3 The NANOGrav 15-year Data Set: Observations and Timing of 68 Millisecond Pulsars

description: We present observations and timing analyses of 68 millisecond pulsars (MSPs) comprising the 15- year data set of the North American Nanohertz Observatory for Gravitational Waves (NANOGrav). NANOGrav is a pulsar timing array (PTA) experiment that is sensitive to low-frequency gravitational waves. This is NANOGrav’s fifth public data release, including both “narrowband” and “wideband” time-of-arrival (TOA) measurements and corresponding pulsar timing models. We have added 21 MSPs and extended our timing baselines by three years, now spanning nearly 16 years for some of our sources. The data were collected using the Arecibo Observatory, the Green Bank Telecope, and the Very Large Array between frequencies of 327 MHz and 3 GHz, with most sources observed approximately monthly. A number of notable methodological and procedural changes were made compared to our previous data sets. These improve the overall quality of the TOA data set and are part of the transition to new pulsar timing and PTA analysis software packages. For the first time, our data products are accompanied by a full suite of software to reproduce data reduction, analysis, and results. Our timing models include a variety of newly detected astrometric and binary pulsar parameters, including several significant improvements to pulsar mass constraints. We find that the time series of 23 pulsars contain detectable levels of red noise, 10 of which are new measurements. In this data set, we find evidence for a stochastic gravitational-wave background.
DOI: 10.48577/jpl.2shb52
title: The NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background

description: We report multiple lines of evidence for a stochastic signal that is correlated among 67 pulsars from the 15-year pulsar-timing data set collected by the North American Nanohertz Observatory for Gravitational Waves. The correlations follow the Hellings–Downs pattern expected for an isotropic stochastic gravitational-wave background. The presence of such a gravitational-wave background with a power-law–spectrum is favored over a model with only independent pulsar noises with a Bayes factor in excess of 10^{14}, and this same model is favored over an uncorrelated common power-law–spectrum model with Bayes factors of 200–1000, depending on spectral modeling choices. We have built a statistical background distribution for these latter Bayes factors using a method that removes inter-pulsar correlations from our data set, finding p = 10^{−3} (approx. 3σ) for the observed Bayes factors in the null no-correlation scenario. A frequentist test statistic built directly as a weighted sum of inter-pulsar correlations yields p = 5×10^{−5}–1.9×10^{−4} (approx. 3.5–4σ). Assuming a fiducial f^{−2/3} characteristic strain spectrum, as appropriate for an ensemble of binary supermassive black-hole inspirals, the strain amplitude is 2.4+0.7−0.6 × 10^{−15} (median + 90% credible interval) at a reference frequency of 1 yr^{−1}. The inferred gravitational-wave background amplitude and spectrum are consistent with astrophysical expectations for a signal from a population of supermassive black-hole binaries, although more exotic cosmological and astrophysical sources cannot be excluded. The observation of Hellings–Downs correlations points to the gravitational-wave origin of this signal.
DOI: 10.48577/jpl.vn1lkz
title: The NANOGrav 15-year Data Set: Search for Signals from New Physics

description: The 15-year pulsar timing data set collected by the North American Nanohertz Observatory for GravitationalWaves (NANOGrav) shows positive evidence for the presence of a low-frequency gravitationalwave (GW) background. In this paper, we investigate potential cosmological interpretations of this signal, specifically: cosmic inflation, scalar-induced GWs, first-order phase transitions, cosmic strings, and domain walls. We find that, with the exception of stable cosmic strings of field-theory origin, all these models can reproduce the observed signal. When compared to the standard interpretation in terms of inspiraling supermassive black hole binaries (SMBHBs), many cosmological models seem to provide a better fit resulting in Bayes factors in the range from 10 to 100. However, these results strongly depend on modeling assumptions about the cosmic SMBHB population and, at this stage, should not be regarded as evidence for new physics. Furthermore, we identify excluded parameter regions where the predicted GW signal from cosmological sources significantly exceeds the NANOGrav signal. These parameter constraints are independent of the origin of the NANOGrav signal and illustrate how pulsar timing data provide a new way to constrain the parameter space of these models. Finally, we search for deterministic signals produced by models of ultralight dark matter (ULDM) and dark-matter substructures in the Milky Way. We find no evidence for either of these signals and thus report updated constraints on these models. In the case of ULDM, these constraints outperform torsion balance and atomic clock constraints for ULDM coupled to electrons, muons, or gluons.
DOI: 10.48577/jpl.btqpd8
title: On Ganymede's Magnetic Quadrupolar Strength

description: Ganymede is the only moon in our solar system known to have a large-scale intrinsic magnetic field, likely generated in the moon's metallic core. Initial analyses of Galileo spacecraft measurements concluded that Ganymede's intrinsic magnetic field is dominated by a magnetic dipole and that quadrupolar contributions are exceptionally weak. These findings have influenced the development of models for Ganymede's core dynamo over the past two decades, some concluding that Ganymede's dynamo is limited to the innermost part of Ganymede's core. Here, we reassess Ganymede's internal field contributions based on the magnetic measurements from close Galileo flybys of Ganymede (G1, G2, G7, G8, G28, G29), adding the recent Juno flyby. We find that presently available data cannot constrain Ganymede's quadrupole moment, as we demonstrate by constructing models with a range of quadrupole moments, including relative values comparable to those at the Earth. As a consequence, global analysis of available data cannot constrain the spatial limits of Ganymede's core dynamo. Incorporating ocean induction for a range of Ganymede ocean models indicates that ocean induction may be present, but that available magnetic data cannot discern between end member cases for Ganymede ocean models.
DOI: 10.48577/jpl.hwo4eu
title: Mars 2020 Descent Stage Integrated Propulsion Subsystem: Changes from MSL and Flight Performance

description: On February 18, 2021, The Mars 2020 mission successfully landed thePerseverance rover in Jezero Crater, the heaviest interplanetary rover everbuilt, on the surface of Mars. Following up on the successful Entry, Descentand Landing of the Curiosity rover of the Mars Science Laboratory mission inAugust 2012, the Mars 2020 mission Descent Stage Propulsion System was a“build-to-print” sequel. The Mars 2020 Descent Stage Propulsion System hada few minor low risk changes based on the flight performance of the MarsScience Laboratory System to improve performance. The in-flightperformance of the Descent Stage Propulsion System was consistent withexpectations with the exception of apparent higher than expected deliveredthrust from the Mars Lander Engines, which occurred both on Mars 2020 andthe Mars Science Laboratory missions. The Descent Stage Propulsion Systemcompleted its mission with significant capability margin with respect tothruster life, maximum delivered thrust, and available propellant attouchdown.
DOI: 10.34740/kaggle/dsv/6131613
title: Scrabble data from woogles.io
DOI: 10.6073/pasta/1a20274019ec7716ad90fd3a54f82d86
title: MCR LTER: Coral Reef: Macroalgal CHN, ongoing since 2005

description: Samples of two common macroalgal species (Sargassum mangarevense, Turbinaria ornata) are collected yearly from fringing, backreef, and reef crest sites at each of the sites (LTER 1 through LTER 6) around Moorea. CHN analyses of dried, ground samples of each individual are made using standard methods. CHN data are used to track sustained variation in nutrient availability. Water column nutrients in coral reef systems usually are low to undetectable and their inputs tend to be episodic and ephemeral. Using CHN contents of macroalgae allows the integration of nitrogen availability over a longer time period, in this case, over approximately 3 months. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 22-24354 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2023). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.34740/kaggle/dsv/6131642
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.8145408
title: Dataset of fungal communities observed on decomposing pig carcasses in New Jersey

description: This dataset contains estimated count data for fungal taxa identified using ITS metabarcoding collected from decomposing fetal pig carcasses placed in grasslands of New Jersey, USA. FungiPigDecomp_Data.csv is a file that contains the estimated count data at the level of taxonomic resolution possible for each replicate, at each stage of decomposition, across three body districts. FungiPigDecomp_Methods.docx is a summarized version of the sampling method relevant to interpreting the data. FungiPigDecomp_Descriptive.txt is a file describing the column headers in "FungiPigDecomp_Data.csv".
description: {"references": ["Clemmensen, K. E., Ihrmark, K., Durling, M. B., & Lindahl, B. D. (2016). Sample Preparation for Fungal Community Analysis by High-Throughput Sequencing of Barcode Amplicons. Methods in molecular biology (Clifton, N.J.), 1399, 61-88. https://doi.org/10.1007/978-1-4939-3369-3_4", "Shumskaya, M., Lorusso, N., Patel, U., Leigh, M., Somervuo, P., & Schigel, D. (2023). MycoPins: a metabarcoding-based method to monitor fungal colonization of fine woody debris. Mycokeys(96), 77-95. https://doi.org/10.3897/mycokeys.96.101033", "Palmer, J. M., Jusino, M. A., Banik, M. T., & Lindner, D. L. (2018). Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data. Peerj, 6, Article e4925. https://doi.org/10.7717/peerj.4925"]}
DOI: 10.5281/zenodo.8143394
title: Multiplexed detection of viral antigen and RNA using nanopore sensing and encoded molecular probes

description: The example data of the nanopore translocation experiments
DOI: 10.5281/zenodo.8143395
title: Multiplexed detection of viral antigen and RNA using nanopore sensing and encoded molecular probes

description: The example data of the nanopore translocation experiments
DOI: 10.5281/zenodo.8145407
title: Dataset of fungal communities observed on decomposing pig carcasses in New Jersey

description: This dataset contains estimated count data for fungal taxa identified using ITS metabarcoding collected from decomposing fetal pig carcasses placed in grasslands of New Jersey, USA. FungiPigDecomp_Data.csv is a file that contains the estimated count data at the level of taxonomic resolution possible for each replicate, at each stage of decomposition, across three body districts. FungiPigDecomp_Methods.docx is a summarized version of the sampling method relevant to interpreting the data. FungiPigDecomp_Descriptive.txt is a file describing the column headers in "FungiPigDecomp_Data.csv".
description: {"references": ["Clemmensen, K. E., Ihrmark, K., Durling, M. B., & Lindahl, B. D. (2016). Sample Preparation for Fungal Community Analysis by High-Throughput Sequencing of Barcode Amplicons. Methods in molecular biology (Clifton, N.J.), 1399, 61-88. https://doi.org/10.1007/978-1-4939-3369-3_4", "Shumskaya, M., Lorusso, N., Patel, U., Leigh, M., Somervuo, P., & Schigel, D. (2023). MycoPins: a metabarcoding-based method to monitor fungal colonization of fine woody debris. Mycokeys(96), 77-95. https://doi.org/10.3897/mycokeys.96.101033", "Palmer, J. M., Jusino, M. A., Banik, M. T., & Lindner, D. L. (2018). Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data. Peerj, 6, Article e4925. https://doi.org/10.7717/peerj.4925"]}
DOI: 10.6084/m9.figshare.21341088
title: Math_2002.txt

description: The data file is the test scores of mathematics in 2002 from the data set of the National Longitudinal Survey of Youth 1997
DOI: 10.6084/m9.figshare.21899997
title: cystoscopy_atlas.zip

description: This zip file includes all cystoscopic images used as development set.
DOI: 10.34740/kaggle/dsv/6131730
title: Pypi sython pandaerror handling
DOI: 10.5517/ccdc.csd.cc2bc8nn
title: CCDC 2155791: Experimental Crystal Structure Determination

description: Related Article: Dong Xia|2022|CSD Communication|||
description: Related Article: Dong Xia, Hehua Li, Tang Li, Haiyan Ma|2023|Inorg.Chem.|62|10792|doi:10.1021/acs.inorgchem.3c01398
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: 10.5517/ccdc.csd.cc2bc8pp
title: CCDC 2155792: Experimental Crystal Structure Determination

description: Related Article: Dong Xia|2022|CSD Communication|||
description: Related Article: Dong Xia, Hehua Li, Tang Li, Haiyan Ma|2023|Inorg.Chem.|62|10792|doi:10.1021/acs.inorgchem.3c01398
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: 10.5517/ccdc.csd.cc2bc8qq
title: CCDC 2155793: Experimental Crystal Structure Determination

description: Related Article: Dong Xia|2022|CSD Communication|||
description: Related Article: Dong Xia, Hehua Li, Tang Li, Haiyan Ma|2023|Inorg.Chem.|62|10792|doi:10.1021/acs.inorgchem.3c01398
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: 10.5517/ccdc.csd.cc2cl123
title: CCDC 2192074: Experimental Crystal Structure Determination

description: Related Article: Shiori Fujimori, Arseni Kostenko, Rosario Scopelliti, Shigeyoshi Inoue|2023|Nat. Synth.|2|688|doi:10.1038/s44160-023-00283-w
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: 10.5517/ccdc.csd.cc2cl134
title: CCDC 2192075: Experimental Crystal Structure Determination

description: Related Article: Shiori Fujimori, Arseni Kostenko, Rosario Scopelliti, Shigeyoshi Inoue|2023|Nat. Synth.|2|688|doi:10.1038/s44160-023-00283-w
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: 10.5517/ccdc.csd.cc2cl145
title: CCDC 2192076: Experimental Crystal Structure Determination

description: Related Article: Shiori Fujimori, Arseni Kostenko, Rosario Scopelliti, Shigeyoshi Inoue|2023|Nat. Synth.|2|688|doi:10.1038/s44160-023-00283-w
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: 10.5517/ccdc.csd.cc2d7kcl
title: CCDC 2211799: Experimental Crystal Structure Determination

description: Related Article: Peiying Li, Rong Chang, Fujun Guan, Wenjing Yang, Cong-Ying Zhou, Zhen Guo|2023|J.Org.Chem.|88|8703|doi:10.1021/acs.joc.3c00574
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.