cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24638695.v1
title: Palynology of the uppermost Cretaceous to lowermost Paleocene Deccan volcanic associated sediments of the Mandla Lobe, Central India

description: Palynological study of the <b>uppermost</b> Cretaceous<b>–lowermost</b> Paleocene sequences of the Deccan volcanic province in the Mandla Lobe of central India was carried out to understand floral diversity, paleoecology and paleoclimate during Deccan volcanic activity <b>(67. 4–62.5 Ma).</b> The study involved 17 intertrappean sedimentary beds at 13 stratigraphic levels. The analysis shows the presence of a rich and diverse palynoflora represented by 47 genera and 61 species of pteridophytes, gymnosperms, algae, and fungi. <b>Amongst these, we recognized three</b> new genera and <b>10</b> new species. At the lower stratigraphic levels, <b>(582–602 meters above sea level),</b> Late Cretaceous (Maastrichtian) age marker palynomorphs, namely <i>Azolla cretacea</i>, <i>Farabeipollis minutus, Jiangsupollis striatus</i> and <i>J. intertrappea</i> <b>sp. nov</b>. and dominance of <i>Gabonisporis vigourouxii</i> and <i>Aquilapollenites bengalensis</i> were recorded. At the higher stratigraphic levels, <b>(698–858 meters above sea level)</b> Early Paleocene (Danian) age marker palynoassemblage<b>s</b>, such as <i>Haloragacidites amolosus, Longapertites vaneendenburgi, Mulleripollis bolpurensis</i>, <i>Palmaepollenites nadhamunii,</i> and <i>P. eocenicus</i> were recorded. Palyno<b>assemblag</b>e and associated clay minerals indicate deposition of intertrappean <b>beds</b> in a fluctuating climate, ranging from humid and semiarid to arid and the prevalence of estuarine to freshwater depositional environments at the time of deposition. Palynofloral assemblages suggests <b>prevalence of warm humid tropical climate</b> with high precipitation during the <b>deposition of intertrappean beds.</b>
DOI: 10.6084/m9.figshare.25924306
title: Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns

description: Skew-t copula models are attractive for the modeling of financial data because they allow for asymmetric and extreme tail dependence. We show that the copula implicit in the skew-t distribution of Azzalini and Capitanio allows for a higher level of pairwise asymmetric dependence than two popular alternative skew-t copulas. Estimation of this copula in high dimensions is challenging, and we propose a fast and accurate Bayesian variational inference (VI) approach to do so. The method uses a generative representation of the skew-t distribution to define an augmented posterior that can be approximated accurately. A stochastic gradient ascent algorithm is used to solve the variational optimization. The methodology is used to estimate skew-t factor copula models with up to 15 factors for intraday returns from 2017 to 2021 on 93 U.S. equities. The copula captures substantial heterogeneity in asymmetric dependence over equity pairs, in addition to the variability in pairwise correlations. In a moving window study we show that the asymmetric dependencies also vary over time, and that intraday predictive densities from the skew-t copula are more accurate than those from benchmark copula models. Portfolio selection strategies based on the estimated pairwise asymmetric dependencies improve performance relative to the index.
DOI: 10.5281/zenodo.7062756
title: Emergence of Supercoiling-Mediated Regulatory Networks through the Evolution of Bacterial Chromosome Organization

description: Data generated using EvoTSC and used in the Emergence of Supercoiling-Mediated Regulatory Networks through the Evolution of Bacterial Chromosome Organization paper.

This data is also used in Chapter 5 of my PhD thesis.
DOI: 10.5281/zenodo.7062757
title: Emergence of Supercoiling-Mediated Regulatory Networks through the Evolution of Bacterial Chromosome Organization

description: Data generated using EvoTSC and used in the Emergence of Supercoiling-Mediated Regulatory Networks through the Evolution of Bacterial Chromosome Organization paper.

This data is also used in Chapter 5 of my PhD thesis.
DOI: 10.6084/m9.figshare.25924306.v2
title: Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns

description: Skew-t copula models are attractive for the modeling of financial data because they allow for asymmetric and extreme tail dependence. We show that the copula implicit in the skew-t distribution of Azzalini and Capitanio allows for a higher level of pairwise asymmetric dependence than two popular alternative skew-t copulas. Estimation of this copula in high dimensions is challenging, and we propose a fast and accurate Bayesian variational inference (VI) approach to do so. The method uses a generative representation of the skew-t distribution to define an augmented posterior that can be approximated accurately. A stochastic gradient ascent algorithm is used to solve the variational optimization. The methodology is used to estimate skew-t factor copula models with up to 15 factors for intraday returns from 2017 to 2021 on 93 U.S. equities. The copula captures substantial heterogeneity in asymmetric dependence over equity pairs, in addition to the variability in pairwise correlations. In a moving window study we show that the asymmetric dependencies also vary over time, and that intraday predictive densities from the skew-t copula are more accurate than those from benchmark copula models. Portfolio selection strategies based on the estimated pairwise asymmetric dependencies improve performance relative to the index.
DOI: 10.6084/m9.figshare.25924306.v1
title: Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns

description: Skew-t copula models are attractive for the modeling of financial data because they allow for asymmetric and extreme tail dependence. We show that the copula implicit in the skew-t distribution of Azzalini and Capitanio (2003) allows for a higher level of pairwise asymmetric dependence than two popular alternative skew-t copulas. Estimation of this copula in high dimensions is challenging, and we propose a fast and accurate Bayesian variational inference (VI) approach to do so. The method uses a generative representation of the skew-t distribution to define an augmented posterior that can be approximated accurately. A stochastic gradient ascent algorithm is used to solve the variational optimization. The methodology is used to estimate skew-t factor copula models with up to 15 factors for intraday returns from 2017 to 2021 on 93 U.S. equities. The copula captures substantial heterogeneity in asymmetric dependence over equity pairs, in addition to the variability in pairwise correlations. In a moving window study we show that the asymmetric dependencies also vary over time, and that intraday predictive densities from the skew-t copula are more accurate than those from benchmark copula models. Portfolio selection strategies based on the estimated pairwise asymmetric dependencies improve performance relative to the index.
DOI: 10.15468/dl.ndyyj9
title: Occurrence Download

description: A dataset containing 5607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus eugenioides Sieber ex Spreng."
 ]
}

 The dataset includes 5607 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024800-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/909
title: Data associated with “Asymmetric magnetic relaxation behavior of domains and domain walls observed through the FeRh first-order metamagnetic phase transition”

description: Open access data deposit to accompany the publication “Asymmetric magnetic relaxation behavior of domains and domain walls observed through the FeRh first-order metamagnetic phase transition”
DOI: 10.15468/dl.xuhk8m
title: Occurrence Download

description: A dataset containing 1053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lemur catta Linnaeus, 1758"
 ]
}

 The dataset includes 1053 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024801-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e207962
title: National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts, 1990-2010

description: This dataset contains measures of socioeconomic and
demographic characteristics by US census tract 1990-2010. Example measures
include population density; population distribution by race, ethnicity, age,
and income; and proportion of population living below the poverty level,
receiving public assistance, and female-headed families. The dataset also
contains a set of index variables to represent neighborhood disadvantage and
affluence.
description: Smallest Geographic Unit: united states census tract
DOI: 10.3886/e207962v1
title: National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts, 1990-2010

description: This dataset contains measures of socioeconomic and
demographic characteristics by US census tract 1990-2010. Example measures
include population density; population distribution by race, ethnicity, age,
and income; and proportion of population living below the poverty level,
receiving public assistance, and female-headed families. The dataset also
contains a set of index variables to represent neighborhood disadvantage and
affluence.
description: Smallest Geographic Unit: united states census tract
DOI: 10.5281/zenodo.7789492
title: Emergence of Supercoiling-Mediated Regulatory Networks through the Evolution of Bacterial Chromosome Organization: Supplementary Material

description: Data generated using EvoTSC and used in the Supplementary Material to the Emergence of Supercoiling-Mediated Regulatory Networks through the Evolution of Bacterial Chromosome Organization paper.
DOI: 10.15468/dl.eqszj5
title: Occurrence Download

description: A dataset containing 660965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Antarctica",
 "Country is Antarctica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 660965 records from 629 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024799-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wxvvn
title: Occurrence Download

description: A dataset containing 1849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus exserta F.Muell."
 ]
}

 The dataset includes 1849 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024803-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.4avfl1
title: A Uranus Flagship Mission: Engaging the Community and Embracing Interdisciplinary Science

description: No abstract available.
DOI: 10.48577/jpl.u7duu3
title: Characterizing Fire and Fire Atmospheric States from Space Using Collocated Hyperspectral Infrared Sounding and Narrow-band Imagery

description: Under global climate change, wildfires play an increasingly important role in ecosystems. Satellite-borne instruments provide a unique vantage point to study fire, among which, the synergy of narrow-band imagers and hyperspectral infrared sounders enable the observation and monitoring of both the fire characteristics and the accompanied atmospheric changes with a multi-decadal global dataset. Therefore, it is important to develop methods that combine the advantage of the high spatial resolution from the imagers and the high spectral resolution from sounders for fire applications and studies. In this study, we use pixel-scale collocated instantaneous measurements of the Visible Infrared Imaging Radiometer Suite (VIIRS) and the Cross Track Infrared Sounder (CrIS), onboard NASA’s Suomi National Polar-orbiting Partnership (SNPP) satellite, to characterize both the fire and the atmospheric conditions before, during, and after fire. Two months of satellite observations over the Southwest United States and the Amazonia regions when large fires occurred in the regions of interest (October 2017 and August 2020) are used. It is found that CrIS displays high sensitivity to fire with spatial extent covering as small as only 1% of CrIS field of view (FOV), especially when averaged fire radiative power (FRP) larger than 1 megawatt during the night or 5 megawatts during the day. The principal components of the CrIS spectra during, and immediately before/after the fire events are used to quantify the spectral signature of infrared sounders to atmospheric temperature, humidity, and trace gases corresponding to fire characteristics. This study demonstrates that collocated imager and infrared sounder observations combined with the principal component analysis provide a valuable tool to efficiently identify and monitor fires and associated changes to the atmospheric states with greatly reduced data volume while retaining the full spectral information.
DOI: 10.15468/dl.6qx76a
title: Occurrence Download

description: A dataset containing 822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Santalum album L."
 ]
}

 The dataset includes 822 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024804-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.qu8qaf
title: Validation and Application of Satellite Derived Sea Surface Temperature Gradients in the Bering Strait and Bering Sea

description: The Arctic is one of the most important regions of the world’s oceans for understanding the impacts of a changing climate. Yet, it is also difficult to measure because of extreme weather, as well as ice conditions. In this work we directly compare four data sets from the Group for High Resolution Sea Surface Temperature (GHRSST) with a NASA Saildrone deployment along the Alaskan Coast and the Bering Sea and Bering Strait. The four data sets used were the Remote Sensing Systems Microwave Infrared Optimally Interpolated (MWIR) Product, the Canadian Meteorological Center (CMC) product, the Daily Optimally Interpolated Product (DOISST) and the Operational Sea Surface Temperature and Ice Analysis (OSTIA) Product. Spatial sea surface temperature (SST) gradients were derived for both the Saildrone deployment and the GHRSST products, with the GHRSST products collocated with the Saildrone deployment. Overall, statistics indicate that the OSTIA product had the best correlation of 0.79 and a root mean square difference of 0.11°C/km when compared with Saildrone. Differences increased at latitudes &gt; 65° N where sea ice would have a greater impact. A trend analysis was then performed on the gradient fields. Overall positive trends in gradients occurred in areas along the coastal regions. A negative trend occurred at approximately 60° N. A major result of the study indicates that future work needs to revolve around the impact of changing ice conditions on SST gradients. A major result is that a northward shift in the southern ice edge occurred after 2010 with a maxima at approximately 2019. Future work needs to revolve around examining possible causes for the northward shift.
DOI: 10.48577/jpl.vrmtr0
title: First Demonstration of an All-Solid-State Room Temperature 2 THz Spectrometer Viable for Space Applications

description: Abstract— We introduce a groundbreaking 2 THz spectrometer suitable for space use, operating at room temperature. Our objective is to measure high-altitude atomic oxygen and use doppler for 3D wind determination via limb sounding. Employing Schottky diode-based mixers and multipliers, we've developed a solid-state receiver with Double Side-Band (DSB) sensitivity below 8000K. This sensitivity enables the measurement of wind velocities, via atomic oxygen detection, in the 100-200 km altitude range with &lt;20 m/s precision. Our approach encompasses design, fabrication, and sensitivity assessment of the receiver.
DOI: 10.34740/kaggle/dsv/8960162
title: Mahanagar Yatayat Transport Dataset
DOI: 10.48577/jpl.f1iccg
title: Trends and Variability in Earth’s Energy Imbalance and Ocean Heat Uptake since 2005

description: Earth’s Energy Imbalance (EEI) is a fundamental metric of global earth system change, quantifying the cumulative impact of natural and anthropogenic radiative forcings and feedbacks. To date, the most precise measurements of EEI change are obtained through radiometric observations at the top of the atmosphere (TOA). The quantification of EEI absolute magnitude is facilitated by heat inventory analysis, where ~90% of heat uptake manifests as an increase in ocean heat content (OHC). Various international groups provide OHC datasets derived from in-situ and satellite observations, as well as from reanalyses ingesting many available observations. The WCRP formed the GEWEX-EEI assessment working group to better understand discrepancies, uncertainties and reconcile current knowledge of EEI magnitude, variability, and trends. Here, 18 OHC datasets and ocean heat uptake (OHU) rates are intercompared, providing OHU estimates ranging between 0.40 to 0.96 Wm-2, a spread that is reduced when unequal ocean sampling is accounted for, and that is otherwise attributable to differing source data, mapping methods, and quality control procedures. Rate of increase in OHU varies substantially between 0.11 (an in-situ product) to 1.11 Wm-2 dec-1 (a satellite product). Products that either more regularly observe (satellites) or fill in-situ data-sparse regions based on additional physical knowledge (reanalysis and hybrid products), tend to track radiometric EEI variability better than purely in-situ-based OHC products. This paper also examines zonal trends in TOA radiative fluxes and the impact of data gaps on trend estimates. The GEWEX-EEI community aims to refine their assessment studies, to forge a path toward best-practices, e.g., in uncertainty quantification, and to formulate recommendations for future activities.
DOI: 10.48577/jpl.wlx5rf
title: 10 keV Electron Irradiation of Methane Ices at Ocean World Surface Temperatures

description: The surface environmental conditions of many of the icy ocean worlds in the Solar System are outside of the stability field of methane ice. However, mechanisms may exist that entrain or trap methane within water ice that arrives at the surface via plume eruptions or resurfacing events. At the surface, the ice grains may experience charged particle irradiation that could lead to the production of new complex hydrocarbons. We investigated the irradiation products of 12CH4 versus 13CH4, the temperature dependence of CH4 radiation processing and product stability, and the temperature stability of CH4 when mixed with H2O in a cryogenic vacuum environment. Significantly, methane ice experimentally encased in water ice was irradiated at 100 K in an ultra-high vacuum environment and produced similar radiation-formed secondary phases as pure methane ice irradiated at 20 K. The methane radiation products produced outside of the methane ice stability field, while encased in a water ice film, were most notably 13CO2 and a candidate feature of C3H6. Evidence for complex hydrocarbons, such as C2H6, were observed during warming and sublimation of the sample.
DOI: 10.6084/m9.figshare.26304934
title: systolic_3

description: systolic_3
DOI: 10.15468/dl.cn4vw3
title: Occurrence Download

description: A dataset containing 4631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus fastigata H.Deane & Maiden"
 ]
}

 The dataset includes 4631 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024805-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.jhyfnu
title: Euclid preparation. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-ΛCDM models

description: Context. The Euclid space satellite mission will measure the large-scale clustering of galaxies at an unprecedented precision, providing a unique probe of modifications to the ΛCDM model. Aims. We investigate the approximations needed to efficiently predict the large-scale clustering of matter and dark matter halos in the context of modified gravity and exotic dark energy scenarios. We examine the normal branch of the Dvali–Gabadadze–Porrati model, the Hu–Sawicki f(R) model, a slowly evolving dark energy model, an interacting dark energy model and massive neutrinos. For each, we test approximations for the perturbative kernel calculations, including the omission of screening terms and the use of perturbative kernels based on the Einstein–de Sitter universe; we explore different infrared-resummation schemes, tracer bias models and a linear treatment of massive neutrinos; we investigate various approaches for dealing with redshift-space distortions and modelling the mildly nonlinear scales, namely the Taruya–Nishimishi–Saito prescription and the effective field theory of large-scale structure. This work further provides a first validation of the various codes being considered by Euclid for the spectroscopic clustering probe in beyond-ΛCDM scenarios. Methods. We calculate and compare the χ 2 statistic to assess the different modelling choices. This is done by fitting the spectroscopic clustering predictions to measurements from numerical simulations and perturbation theory-based mock data. We compare the behaviour of this statistic in the beyond-ΛCDM cases, as a function of the maximum scale included in the fit, to the baseline ΛCDM case. Results. We find that the Einstein–de Sitter approximation without screening is surprisingly accurate for the modified gravity cases when comparing to the halo clustering monopole and quadrupole obtained from simulations and mock data. Further, we find the same goodness-of-fit for both cases – the one including and the one omitting non-standard physics in the predictions. Our results suggest that the inclusion of multiple redshift bins, higher-order multipoles, higher-order clustering statistics (such as the bispectrum) and photometric probes such as weak lensing, will be essential to extract information on massive neutrinos, modified gravity and dark energy. Additionally, we show that the three codes used in our analysis, namely, PBJ, Pybird and MG-Copter, exhibit sub-percent agreement for k ≤ 0.5 h Mpc−1 across all the models. This consistency underscores their value as reliable tools.