cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10360114
title: High Tide or Rip-Tide? GJ 486b JWST Transits with NIRSpec G395H - Supplementary Material

description: Supplementary material for 'High Tide or Riptide on the Cosmic Shoreline? A Water-rich Atmosphere or Stellar Contamination for the Warm Super-Earth GJ 486b from JWST Observations' by Moran & Stevenson et al., ApJL (2023).

This repository contains four categories of data products:



White light curves — White light curves produced for Visit 1 and 2, for detectors NRS1 and NRS2 via the FIREFLy pipeline and the open-source codes Eureka! and Tiberius

Transmission spectra — Reduced transmission spectra from three data reduction codes (Eureka!, FIREFLy, and Tiberius) for both G395H visits.

Stellar spectra and models — Flux calibrated observed stellar spectra of GJ 486 from each G395H visit, along with best-fit PHOENIX stellar models.

Atmospheric models — Atmospheric forward models used to interpret the data, produced from the open source PICASO and CHIMERA codes.


For any additional data requests or questions, please contact: sarahemoran@arizona.edu or kevin.stevenson@jhuapl.edu
DOI: 10.5281/zenodo.10360115
title: High Tide or Rip-Tide? GJ 486b JWST Transits with NIRSpec G395H - Supplementary Material

description: Supplementary material for 'High Tide or Riptide on the Cosmic Shoreline? A Water-rich Atmosphere or Stellar Contamination for the Warm Super-Earth GJ 486b from JWST Observations' by Moran & Stevenson et al., ApJL (2023).
This repository contains four categories of data products:

White light curves — White light curves produced for Visit 1 and 2, for detectors NRS1 and NRS2 via the open-source code Eureka!
Transmission spectra — Reduced transmission spectra from three data reduction codes (Eureka!, FIREFLy, and Tiberius) for both G395H visits.
Stellar spectra and models — Flux calibrated observed stellar spectra of GJ 486 from each G395H visit, along with best-fit PHOENIX stellar models.
Atmospheric models — Atmospheric forward models used to interpret the data, produced from the open source PICASO and CHIMERA codes.
For any additional data requests or questions, please contact: sarahemoran@arizona.edu or kevin.stevenson@jhuapl.edu
DOI: 10.5281/zenodo.10385827
title: High Tide or Rip-Tide? GJ 486b JWST Transits with NIRSpec G395H - Supplementary Material

description: Supplementary material for 'High Tide or Riptide on the Cosmic Shoreline? A Water-rich Atmosphere or Stellar Contamination for the Warm Super-Earth GJ 486b from JWST Observations' by Moran & Stevenson et al., ApJL (2023).

This repository contains four categories of data products:



White light curves — White light curves produced for Visit 1 and 2, for detectors NRS1 and NRS2 via the open-source codes Eureka! and Tiberius

Transmission spectra — Reduced transmission spectra from three data reduction codes (Eureka!, FIREFLy, and Tiberius) for both G395H visits.

Stellar spectra and models — Flux calibrated observed stellar spectra of GJ 486 from each G395H visit, along with best-fit PHOENIX stellar models.

Atmospheric models — Atmospheric forward models used to interpret the data, produced from the open source PICASO and CHIMERA codes.


For any additional data requests or questions, please contact: sarahemoran@arizona.edu or kevin.stevenson@jhuapl.edu
DOI: 10.5281/zenodo.10408056
title: High Tide or Rip-Tide? GJ 486b JWST Transits with NIRSpec G395H - Supplementary Material

description: Supplementary material for 'High Tide or Riptide on the Cosmic Shoreline? A Water-rich Atmosphere or Stellar Contamination for the Warm Super-Earth GJ 486b from JWST Observations' by Moran & Stevenson et al., ApJL (2023).

This repository contains four categories of data products:



White light curves — White light curves produced for Visit 1 and 2, for detectors NRS1 and NRS2 via the FIREFLy pipeline and the open-source codes Eureka! and Tiberius

Transmission spectra — Reduced transmission spectra from three data reduction codes (Eureka!, FIREFLy, and Tiberius) for both G395H visits.

Stellar spectra and models — Flux calibrated observed stellar spectra of GJ 486 from each G395H visit, along with best-fit PHOENIX stellar models.

Atmospheric models — Atmospheric forward models used to interpret the data, produced from the open source PICASO and CHIMERA codes.


For any additional data requests or questions, please contact: sarahemoran@arizona.edu or kevin.stevenson@jhuapl.edu
DOI: 10.34740/kaggle/dsv/7241779
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.26093/cds/vizier.16480375
title: Araucaria: NGC 3109 Cepheids JK phot.

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Araucaria Project: distance to the Local Group galaxy NGC 3109 from near-infrared photometry of Cepheids.' (bibcode: 2006ApJ...648..375S)
DOI: 10.26093/cds/vizier.16621067
title: Spitzer observations of sigma Orionis

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A Spitzer Space Telescope study of disks in the young {sigma} Orionis cluster.' (bibcode: 2007ApJ...662.1067H)
DOI: 10.26093/cds/vizier.16910672
title: Spectroscopy of YSOs in Serpens molecular cloud

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Optical characterization of a new young stellar population in the Serpens molecular cloud.' (bibcode: 2009ApJ...691..672O)
DOI: 10.26093/cds/vizier.17400098
title: Synchrotron peak for blazars and radio galaxies

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'From the blazar sequence to the blazar envelope: revisiting the relativistic jet dichotomy in radio-loud active galactic nuclei.' (bibcode: 2011ApJ...740...98M)
DOI: 10.26093/cds/vizier.17890140
title: SDSS quasars Balmer emission lines

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Constraining sub-parsec binary supermassive black holes in quasars with multi-epoch spectroscopy. II. The population with kinematically offset broad Balmer emission lines.' (bibcode: 2014ApJ...789..140L)
DOI: 10.26093/cds/vizier.18050003
title: Profiles of clusters of galaxies from Chandra

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Are the effects of structure formation seen in the central metallicity of galaxy clusters?' (bibcode: 2015ApJ...805....3E)
DOI: 10.26093/cds/vizier.18330088
title: GRB 160509A VLA monitoring campaign results

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A reverse shock in GRB 160509A.' (bibcode: 2016ApJ...833...88L)
DOI: 10.26093/cds/vizier.18410113
title: Roma-BZCAT synchrotron peak & Compton dominance

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'An investigation of blazars without redshifts: not a missing population at high redshift.' (bibcode: 2017ApJ...841..113M)
DOI: 10.26093/cds/vizier.18710033
title: BVI photometric catalog of star clusters in NGC4589

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Star clusters in the elliptical galaxy NGC4589 hosting a calcium-rich SNIb (SN2005cz).' (bibcode: 2019ApJ...871...33L)
DOI: 10.26093/cds/vizier.18979038
title: Protostars excitation temperatures

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Carbon-grain Sublimation: A New Top-down Component of Protostellar Chemistry.' (bibcode: 2020ApJ...897L..38V)
DOI: 10.26093/cds/vizier.19050078
title: Chandra obs. of IRDCs G034.43+00.24 and G035.39-00.33

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'An X-ray view of two infrared dark clouds G034.43+00.24 and G035.39-00.33.' (bibcode: 2020ApJ...905...78Y)
DOI: 10.26093/cds/vizier.22590018
title: SHELLQs. XVI. New quasars at 5.8

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). XVI. 69 new quasars at 5.8
DOI: 10.34740/kaggle/dsv/7241797
title: Full TMDB Movies Dataset 2023 (930K Movies)
DOI: 10.3886/erht-pb34
title: Mongolia Compact - Property Rights - Special Hashaa Plot: Design Report
DOI: 10.3886/b2d1-gs27
title: Mongolia Compact - Property Rights - Special Hashaa Plot: Design Report
DOI: 10.5281/zenodo.10407891
title: Data associated to the paper "Reduced basis surrogates for quantum spin systems based on tensor networks"

description: Within the reduced basis methods approach, an effective low-dimensional subspace of a quantum many-body Hilbert space is constructed in order to investigate, e.g., the ground-state phase diagram. The basis of this subspace is built from solutions of snapshots, i.e., ground states corresponding to particular and well-chosen parameter values. Here, we show how a greedy strategy to assemble the reduced basis and thus to select the parameter points can be implemented based on matrix-product-state calculations. Once the reduced basis has been obtained, observables required for the computation of phase diagrams can be computed with a computational complexity independent of the underlying Hilbert space for any parameter value. We illustrate the efficiency and accuracy of this approach for different one-dimensional quantum spin-1 models, including anisotropic as well as biquadratic exchange interactions, leading to rich quantum phase diagrams.
description: The dataset contains the data underpinning all figures, except for figure 1 and 5 which show phase boundaries extracted from other references. All files are in CSV format. CSV files of line plots contain the associated x-values (see file headers), whereas for heatmap plots the underlying 2D array is written to CSV.
DOI: 10.5281/zenodo.10407890
title: Data associated to the paper "Reduced basis surrogates for quantum spin systems based on tensor networks"

description: Within the reduced basis methods approach, an effective low-dimensional subspace of a quantum many-body Hilbert space is constructed in order to investigate, e.g., the ground-state phase diagram. The basis of this subspace is built from solutions of snapshots, i.e., ground states corresponding to particular and well-chosen parameter values. Here, we show how a greedy strategy to assemble the reduced basis and thus to select the parameter points can be implemented based on matrix-product-state calculations. Once the reduced basis has been obtained, observables required for the computation of phase diagrams can be computed with a computational complexity independent of the underlying Hilbert space for any parameter value. We illustrate the efficiency and accuracy of this approach for different one-dimensional quantum spin-1 models, including anisotropic as well as biquadratic exchange interactions, leading to rich quantum phase diagrams.
description: The dataset contains the data underpinning all figures, except for figure 1 and 5 which show phase boundaries extracted from other references. All files are in CSV format. CSV files of line plots contain the associated x-values (see file headers), whereas for heatmap plots the underlying 2D array is written to CSV.
DOI: 10.3886/d3pk-3e36
title: Mongolia Compact - Property Rights - Special Hashaa Plot: Baseline Analysis Report
DOI: 10.3886/nch0-ga39
title: Mongolia Compact - Property Rights - Special Hashaa Plot: Baseline Analysis Report
DOI: 10.26300/79km-v507
title: High Resolution Photomicrographs
DOI: 10.5281/zenodo.10408114
title: VOIIVHII_lookupTable

description: This is a 6D lookup table computed by HIILines (https://github.com/Sheng-Qi-Yang/HIILines). It takes the HII region gas density, metallicity, temperature, and the incident spectrum. It provides OIII/HII region volume ratios and OII/HII region volume ratios that can be used to post-process ISM emission line signals for high-resolution simulations.


The 'age' field lists an array of stellar population age grid in unit of Gyr.


The 'metallicity' field lists an array of log_10 (Z_*) grid. Here Z_* is the stellar metallicity in unit of solar metallicity.


'age' and 'metallicity' fields determines the shape of stellar radiation spectra, provided by FSPS lookup table (https://zenodo.org/record/6338462 SSP_Spectra_Conroy-et-al_v2.5_imfChabrier.hdf5) 


The 'logQ' field lists an array of log_10(Q_HI) grid. Here Q_HI is the hydrogen ionization photon generation rate of the stellar population in unit of s^-1. This field determines the amplitude of the stellar radiation spectra.


The 'lognH' field lists an array of log_10(n_H) grid. Here n_H is the HII region gas density in unit of cm^-3.


The 'logZ' field lists an array of log_10(Z_gas) grid. Here  Z_gas is the HII region gas-phase metallicity in unit of solar metallicity.


The 'T4' field lists an array of T/10000 K grid. Here T is the HII region gas temperature in unit of K.


The 'VOII2VHII' and 'VOIII2VHII' fields provides a 6D lookup table of OIII and OII volume correction factors given the above 6 parameters. As an example, a VOII/VHII function can be defined as:


VOII2VHIIf     = scipy.interpolate.RegularGridInterpolator((logQGrid,lognHGrid,logZismGrid,T4Grid,logZstarGrid,ageGrid),VOII2VHII)


 
description: Update neutral hydrogen calculation to avoid NAN caused by floating error.

Correct one typo about OI photonionization cross section.

Account for HeII contribution when computing the optical depth.
DOI: 10.5281/zenodo.7827061
title: VOIIVHII_lookupTable

description: This is a 6D lookup table computed by HIILines (https://github.com/Sheng-Qi-Yang/HIILines). It takes the HII region gas density, metallicity, temperature, and the incident spectrum. It provides OIII/HII region volume ratios and OII/HII region volume ratios that can be used to post-process ISM emission line signals for high-resolution simulations. The 'age' field lists an array of stellar population age grid in unit of Gyr. The 'metallicity' field lists an array of log_10 (Z_*) grid. Here Z_* is the stellar metallicity in unit of solar metallicity. 'age' and 'metallicity' fields determines the shape of stellar radiation spectra, provided by FSPS lookup table (https://zenodo.org/record/6338462 SSP_Spectra_Conroy-et-al_v2.5_imfChabrier.hdf5) The 'logQ' field lists an array of log_10(Q_HI) grid. Here Q_HI is the hydrogen ionization photon generation rate of the stellar population in unit of s^-1. This field determines the amplitude of the stellar radiation spectra. The 'lognH' field lists an array of log_10(n_H) grid. Here n_H is the HII region gas density in unit of cm^-3. The 'logZ' field lists an array of log_10(Z_gas) grid. Here Z_gas is the HII region gas-phase metallicity in unit of solar metallicity. The 'T4' field lists an array of T/10000 K grid. Here T is the HII region gas temperature in unit of K. The 'VOII2VHII' and 'VOIII2VHII' fields provides a 6D lookup table of OIII and OII volume correction factors given the above 6 parameters. As an example, a VOII/VHII function can be defined as: VOII2VHIIf = scipy.interpolate.RegularGridInterpolator((logQGrid,lognHGrid,logZismGrid,T4Grid,logZstarGrid,ageGrid),VOII2VHII)
DOI: 10.5281/zenodo.7827060
title: VOIIVHII_lookupTable

description: This is a 6D lookup table computed by HIILines (https://github.com/Sheng-Qi-Yang/HIILines). It takes the HII region gas density, metallicity, temperature, and the incident spectrum. It provides OIII/HII region volume ratios and OII/HII region volume ratios that can be used to post-process ISM emission line signals for high-resolution simulations.


The 'age' field lists an array of stellar population age grid in unit of Gyr.


The 'metallicity' field lists an array of log_10 (Z_*) grid. Here Z_* is the stellar metallicity in unit of solar metallicity.


'age' and 'metallicity' fields determines the shape of stellar radiation spectra, provided by FSPS lookup table (https://zenodo.org/record/6338462 SSP_Spectra_Conroy-et-al_v2.5_imfChabrier.hdf5) 


The 'logQ' field lists an array of log_10(Q_HI) grid. Here Q_HI is the hydrogen ionization photon generation rate of the stellar population in unit of s^-1. This field determines the amplitude of the stellar radiation spectra.


The 'lognH' field lists an array of log_10(n_H) grid. Here n_H is the HII region gas density in unit of cm^-3.


The 'logZ' field lists an array of log_10(Z_gas) grid. Here  Z_gas is the HII region gas-phase metallicity in unit of solar metallicity.


The 'T4' field lists an array of T/10000 K grid. Here T is the HII region gas temperature in unit of K.


The 'VOII2VHII' and 'VOIII2VHII' fields provides a 6D lookup table of OIII and OII volume correction factors given the above 6 parameters. As an example, a VOII/VHII function can be defined as:


VOII2VHIIf     = scipy.interpolate.RegularGridInterpolator((logQGrid,lognHGrid,logZismGrid,T4Grid,logZstarGrid,ageGrid),VOII2VHII)


 
description: Update neutral hydrogen calculation to avoid NAN caused by floating error.

Correct one typo about OI photonionization cross section.

Account for HeII contribution when computing the optical depth.
DOI: 10.5281/zenodo.8213031
title: VOIIVHII_lookupTable

description: This is a 6D lookup table computed by HIILines (https://github.com/Sheng-Qi-Yang/HIILines). It takes the HII region gas density, metallicity, temperature, and the incident spectrum. It provides OIII/HII region volume ratios and OII/HII region volume ratios that can be used to post-process ISM emission line signals for high-resolution simulations. The 'age' field lists an array of stellar population age grid in unit of Gyr. The 'metallicity' field lists an array of log_10 (Z_*) grid. Here Z_* is the stellar metallicity in unit of solar metallicity. 'age' and 'metallicity' fields determines the shape of stellar radiation spectra, provided by FSPS lookup table (https://zenodo.org/record/6338462 SSP_Spectra_Conroy-et-al_v2.5_imfChabrier.hdf5) The 'logQ' field lists an array of log_10(Q_HI) grid. Here Q_HI is the hydrogen ionization photon generation rate of the stellar population in unit of s^-1. This field determines the amplitude of the stellar radiation spectra. The 'lognH' field lists an array of log_10(n_H) grid. Here n_H is the HII region gas density in unit of cm^-3. The 'logZ' field lists an array of log_10(Z_gas) grid. Here Z_gas is the HII region gas-phase metallicity in unit of solar metallicity. The 'T4' field lists an array of T/10000 K grid. Here T is the HII region gas temperature in unit of K. The 'VOII2VHII' and 'VOIII2VHII' fields provides a 6D lookup table of OIII and OII volume correction factors given the above 6 parameters. As an example, a VOII/VHII function can be defined as: VOII2VHIIf = scipy.interpolate.RegularGridInterpolator((logQGrid,lognHGrid,logZismGrid,T4Grid,logZstarGrid,ageGrid),VOII2VHII)
description: {"references": ["Yang et al. 2023 (arXiv: 2304.09261)"]}
DOI: 10.26300/b18c-wb84
title: Microfracture data
DOI: 10.26300/sh2z-an19
title: Stress-strain curve data
DOI: 10.6084/m9.figshare.24871671
title: <b>Winners’ Dilemma: </b><b>Ho</b><b>w Serendipitously Winning from an Exogenous Crisis Affects Perceptions toward Companies’ Crisis Relief Communications</b>

description: During crises, companies often strategically communicate their Corporate Social Responsibility (CSR) initiatives, anticipating favorable public responses. However, our research, encompassing six studies (two detailed in the web appendix), reveals that the effectiveness of such CSR communications is significantly influenced by the company’s perceived status during the crisis. This paper presents a novel insight: companies that gain unexpectedly or serendipitously during crises might evoke negative public reactions to their crisis-relief efforts. Through diverse crisis scenarios including the COVID-19 pandemic, wildfires, and the Ukraine-Russia conflict, our studies demonstrate that these “winning” companies experience reduced consumer willingness to engage in positive word-of-mouth (WOM) and show less preference for their products and services when they communicate their CSR activities. This adverse reaction is primarily due to the public’s perception of low sincerity on the part of these companies. However, when such companies disclose their material (in-kind) donations, it mitigates the negative impact of their “winning” status on public attitudes. Importantly, we found that this negative perception applies only to companies whose winning status during a crisis is serendipitous. Conversely, companies that achieve their winning status through legitimate efforts witness positive public responses. Our findings underscore the nuanced interplay between a company’s crisis-time status, public perceptions, and the strategic communication of CSR activities..
DOI: 10.6084/m9.figshare.24871671.v1
title: <b>Winners’ Dilemma: </b><b>Ho</b><b>w Serendipitously Winning from an Exogenous Crisis Affects Perceptions toward Companies’ Crisis Relief Communications</b>

description: During crises, companies often strategically communicate their Corporate Social Responsibility (CSR) initiatives, anticipating favorable public responses. However, our research, encompassing six studies (two detailed in the web appendix), reveals that the effectiveness of such CSR communications is significantly influenced by the company’s perceived status during the crisis. This paper presents a novel insight: companies that gain unexpectedly or serendipitously during crises might evoke negative public reactions to their crisis-relief efforts. Through diverse crisis scenarios including the COVID-19 pandemic, wildfires, and the Ukraine-Russia conflict, our studies demonstrate that these “winning” companies experience reduced consumer willingness to engage in positive word-of-mouth (WOM) and show less preference for their products and services when they communicate their CSR activities. This adverse reaction is primarily due to the public’s perception of low sincerity on the part of these companies. However, when such companies disclose their material (in-kind) donations, it mitigates the negative impact of their “winning” status on public attitudes. Importantly, we found that this negative perception applies only to companies whose winning status during a crisis is serendipitous. Conversely, companies that achieve their winning status through legitimate efforts witness positive public responses. Our findings underscore the nuanced interplay between a company’s crisis-time status, public perceptions, and the strategic communication of CSR activities..
DOI: 10.5281/zenodo.10408054
title: Data for "Annealing Reduces Si3N4 Microwave-Frequency Dielectric Loss in Superconducting Resonators"

description: This directory contains the datasets and code for processing and generating the figures in the research article "Annealing Reduces Si3N4 Microwave-Frequency Dielectric Loss in Superconducting Resonators."

This work was supported by funding from ARO Grant W911NF2310376, NSF Grant No. PHY-2317149, NSF QLCI Award OMA - 2016244, the Office of the Secretary of Defense via the Vannevar Bush Faculty Fellowship, award No. N00014-20-1-2833, and the Baur-SPIE Endowed Chair at JILA.
DOI: 10.5281/zenodo.10408055
title: Data for "Annealing Reduces Si3N4 Microwave-Frequency Dielectric Loss in Superconducting Resonators"

description: This directory contains the datasets and code for processing and generating the figures in the research article "Annealing Reduces Si3N4 Microwave-Frequency Dielectric Loss in Superconducting Resonators."

This work was supported by funding from ARO Grant W911NF2310376, NSF Grant No. PHY-2317149, NSF QLCI Award OMA - 2016244, the Office of the Secretary of Defense via the Vannevar Bush Faculty Fellowship, award No. N00014-20-1-2833, and the Baur-SPIE Endowed Chair at JILA.