cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4570610
title: Vibronic Coupling in a Molecular 4f Qubit

description: Vibronic coupling, the interaction between molecular vibrations and electronic states, is a pervasive effect that profoundly affects chemical processes. In the case of molecular magnetic materials, vibronic, or spin-phonon, coupling leads to magnetic relaxation, which equates to loss of magnetic memory and loss of phase coherence in molecular magnets and qubits, respectively. The study of vibronic coupling is challenging, and most experimental evidence is indirect. Here we employ far-infrared magnetospectroscopy to probe vibronic transitions in a Yb<sup>III</sup> molecular qubit directly. We find intense signals near electronic states, which we show arise due to an “envelope effect” in the vibronic coupling Hamiltonian, and we calculate the vibronic coupling fully <em>ab initio</em> to simulate the spectra. We subsequently show that vibronic coupling is strongest for vibrational modes that simultaneously distort the first coordination sphere and break the C<sub>3</sub> symmetry of the molecule. With this knowledge, vibrational modes could be identified and engineered to shift their energy towards or away from particular electronic states to alter their impact. Hence, these findings provide new insights towards developing general guidelines for the control of vibronic coupling in molecules.
description: We thank The University of Manchester for access to the Computational Shared Facility, the EPSRC (studentship to J.G.C.K.), and The Royal Society (University Research Fellowship to N.F.C.). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 851504) and the US National Science Foundation (NSF grant numbers DMR-1610226 and DMR-2004732). A portion of this work was performed at the NHMFL which is supported by the NSF (grant number DMR-1644779) and the State of Florida. S.P. thanks the VILLUM FONDEN for research grant 13376.
DOI: 10.6084/m9.figshare.14138207
title: Figure 3: Methane-ethane bands in liquid phase (95K)

description: <b>Figure 3.</b> Methane and ethane bands in the 2850-3000 cm<sup>-1</sup> region in the liquid phase (95 K), normalized using Eq. 1. This demonstrates the intensity changes and Raman band shifts depending on mixing ratio.<i></i>Eq 1. can be found in the paper titled "Phase Diagram for the Methane-Ethane System and its Implications for Titan’s Lakes"
DOI: 10.6084/m9.figshare.14138207.v1
title: Figure 3: Methane-ethane bands in liquid phase (95K)

description: <b>Figure 3.</b> Methane and ethane bands in the 2850-3000 cm<sup>-1</sup> region in the liquid phase (95 K), normalized using Eq. 1. This demonstrates the intensity changes and Raman band shifts depending on mixing ratio.<i></i>Eq 1. can be found in the paper titled "Phase Diagram for the Methane-Ethane System and its Implications for Titan’s Lakes"
DOI: 10.18112/openneuro.ds003551.v1.0.0
title: Visser et al. 2015 Psychoneuroendocrinology
DOI: 10.5281/zenodo.4283753
title: A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood

description: This repository contains the pertinent RNA-Seq gene count datasets used in the manuscript, <em>A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood</em>.
DOI: 10.5281/zenodo.4283752
title: A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood

description: This repository contains the pertinent RNA-Seq gene count datasets used in the manuscript, <em>A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood</em>.
DOI: 10.5281/zenodo.4571592
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sarah Tassell, https://orcid.org/0000-0002-8083-3111. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.6084/m9.figshare.14130197
title: Figure 7 Data

description: Glyphosate Affects the Oxidative Properties of Melanogenesis
DOI: 10.6084/m9.figshare.14130194
title: Figure 6 Data

description: Glyphosate Does Not Directly Inhibit Tyrosinase Activity
DOI: 10.6084/m9.figshare.14130206
title: Supplemental Figures 5-8 Data

description: Glyphosate appears to “buffer” copper concentration in solution.<br>Antioxidant Properties of glyphosate<br>Glyphosate inhibits melanin production independent of L-DOPA concentration.<br>Cyclic Voltammetry Supplemental Data
DOI: 10.6084/m9.figshare.14130212
title: Figure 3 and Supplementary Figure 3 Data

description: Glyphosate Alters the Composition, but Not Density, of the <i>A. gambiae</i> Midgut Microbiota.
DOI: 10.6084/m9.figshare.14130200
title: Supplemental Figure 2 Data

description: Low efficiency <i>Plasmodium falciparum </i>infection of <i>A. gambiae and effects on mosquito cuticle</i>
DOI: 10.6084/m9.figshare.14130182
title: Figure 5 Data

description: Phosphate-Containing Compounds Inhibited Melanization Similarly to Glyphosate
DOI: 10.6084/m9.figshare.14130197.v1
title: Figure 7 Data

description: Glyphosate Affects the Oxidative Properties of Melanogenesis
DOI: 10.6084/m9.figshare.14130203
title: Supplemental Figure 1 Data

description: Supplemental information from <i>Galleria mellonella </i>experiments
DOI: 10.6084/m9.figshare.14130182.v1
title: Figure 5 Data

description: Phosphate-Containing Compounds Inhibited Melanization Similarly to Glyphosate
DOI: 10.6084/m9.figshare.14130200.v1
title: Supplemental Figure 2 Data

description: Low efficiency <i>Plasmodium falciparum </i>infection of <i>A. gambiae and effects on mosquito cuticle</i>
DOI: 10.6084/m9.figshare.14130188
title: Figure 2 Data

description: Glyphosate Effects on <i>A. gambiae</i> Phenoloxidase Activity and Susceptibility to <i>Plasmodium</i> Infection
DOI: 10.6084/m9.figshare.14130203.v1
title: Supplemental Figure 1 Data

description: Supplemental information from <i>Galleria mellonella </i>experiments
DOI: 10.6084/m9.figshare.14130185.v1
title: Figure 4 Data

description: Glyphosate Inhibits in vitro Melanin Production
DOI: 10.6084/m9.figshare.14130188.v1
title: Figure 2 Data

description: Glyphosate Effects on <i>A. gambiae</i> Phenoloxidase Activity and Susceptibility to <i>Plasmodium</i> Infection
DOI: 10.6084/m9.figshare.14130191.v1
title: Figure 1 Data

description: Glyphosate Inhibits <i>G. mellonella</i> Melanization and Increases Infection Susceptibility
DOI: 10.23641/asha.14080193
title: Complex syntax in children with hearing loss (Werfel et al., 2021)

description: <b>Purpose: </b>Proficiency with complex syntax is important for language and reading comprehension, and production of complex syntax begins to emerge shortly after a young child begins using two-word combinations. Complex syntax production in preschool children with hearing loss who use spoken language has been explored minimally. The purpose of this study was to compare complex syntax production of 4-year-old children with hearing loss to age-matched and language-matched peers with normal hearing.<b>Method: </b>Seventy-two children completed a language assessment battery, including a structured language sample. Complex syntax density and number and accuracy of productions of particular types of complex syntax were compared across three groups: 4-year-old children with hearing loss, an age-matched group of children with normal hearing, and an mean length of utterance (MLU)–matched group of children with normal hearing.<b>Results:</b> Children with hearing loss had lower complex syntax density and fewer correct productions of coordinated clauses, subordinate clauses, and simple infinitives than their age-matched, but not language-matched, peers. Furthermore, children with hearing loss had lower accuracy than the age-matched group on simple infinitives and lower accuracy than both the age- and MLU-matched groups on full propositional complements and subject relative clauses.<b>Conclusion: </b>Children with hearing loss exhibit delays in complex syntax acquisition as compared to their same-age peers and disruptions in development on some complex structures as compared to MLU-matched, younger children.<br><b>Supplemental Material S1.</b> Number correct production of specific types of complex syntax by group.<br><b>Supplemental Material S2.</b> Percent correct production of specific types of complex syntax by group.<br>Werfel, K. L., Reynolds, G., Hudgins, D., Castaldo, M., & Lund, E. A. (2021). The production of complex syntax in spontaneous language by 4-year-old children with hearing loss. <i>American Journal of Speech-Language Pathology. </i>Advance online publication. https://doi.org/10.1044/2020_AJSLP-20-00178
DOI: 10.23641/asha.14080193.v1
title: Complex syntax in children with hearing loss (Werfel et al., 2021)

description: <b>Purpose: </b>Proficiency with complex syntax is important for language and reading comprehension, and production of complex syntax begins to emerge shortly after a young child begins using two-word combinations. Complex syntax production in preschool children with hearing loss who use spoken language has been explored minimally. The purpose of this study was to compare complex syntax production of 4-year-old children with hearing loss to age-matched and language-matched peers with normal hearing.<b>Method: </b>Seventy-two children completed a language assessment battery, including a structured language sample. Complex syntax density and number and accuracy of productions of particular types of complex syntax were compared across three groups: 4-year-old children with hearing loss, an age-matched group of children with normal hearing, and an mean length of utterance (MLU)–matched group of children with normal hearing.<b>Results:</b> Children with hearing loss had lower complex syntax density and fewer correct productions of coordinated clauses, subordinate clauses, and simple infinitives than their age-matched, but not language-matched, peers. Furthermore, children with hearing loss had lower accuracy than the age-matched group on simple infinitives and lower accuracy than both the age- and MLU-matched groups on full propositional complements and subject relative clauses.<b>Conclusion: </b>Children with hearing loss exhibit delays in complex syntax acquisition as compared to their same-age peers and disruptions in development on some complex structures as compared to MLU-matched, younger children.<br><b>Supplemental Material S1.</b> Number correct production of specific types of complex syntax by group.<br><b>Supplemental Material S2.</b> Percent correct production of specific types of complex syntax by group.<br>Werfel, K. L., Reynolds, G., Hudgins, D., Castaldo, M., & Lund, E. A. (2021). The production of complex syntax in spontaneous language by 4-year-old children with hearing loss. <i>American Journal of Speech-Language Pathology. </i>Advance online publication. https://doi.org/10.1044/2020_AJSLP-20-00178
DOI: 10.6084/m9.figshare.14130185
title: Figure 4 Data

description: Glyphosate Inhibits in vitro Melanin Production
DOI: 10.5517/ccdc.csd.cc218zr2
title: CCDC 1885474: Experimental Crystal Structure Determination

description: Related Article: Patrick W. V. Butler, Jas S. Ward|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zb6k2
title: CCDC 1827064: Experimental Crystal Structure Determination

description: Related Article: Bradley J.Ryan, Rainie D. Nelson, Arkady Ellern, Matthew G. Panthani|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zb6l3
title: CCDC 1827065: Experimental Crystal Structure Determination

description: Related Article: Bradley J.Ryan, Rainie D. Nelson, Arkady Ellern, Matthew G. Panthani|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zb6m4
title: CCDC 1827066: Experimental Crystal Structure Determination

description: Related Article: Bradley J.Ryan, Rainie D. Nelson, Arkady Ellern, Matthew G. Panthani|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc225nwt
title: CCDC 1912076: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc225nxv
title: CCDC 1912077: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc229lxx
title: CCDC 1915859: Experimental Crystal Structure Determination

description: Related Article: jiang  Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc229lyy
title: CCDC 1915860: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc229lzz
title: CCDC 1915861: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc229m01
title: CCDC 1915862: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc229m12
title: CCDC 1915863: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22b77x
title: CCDC 1916458: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22b79z
title: CCDC 1916460: Experimental Crystal Structure Determination

description: Related Article: jiang Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22b7c1
title: CCDC 1916462: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22b7d2
title: CCDC 1916463: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22dj67
title: CCDC 1918658: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22f71t
title: CCDC 1919335: Experimental Crystal Structure Determination

description: Related Article: Jongchan Kim|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22f72v
title: CCDC 1919336: Experimental Crystal Structure Determination

description: Related Article: Jongchan Kim|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22f73w
title: CCDC 1919337: Experimental Crystal Structure Determination

description: Related Article: Jongchan Kim|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22h5g7
title: CCDC 1921208: Experimental Crystal Structure Determination

description: Related Article: Josephine Eshon, Kate A. Nicastri, Steven C. Schmid, William T. Raskopf, Ilia A. Guzei, Israel Fernández, Jennifer M. Schomaker|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22hpdp
title: CCDC 1921702: Experimental Crystal Structure Determination

description: Related Article: Girijesh Kumar, Pooja Rani, Anjali Sharma, Ahmad Husain, Gulshan Kumar, Harpreet Kaur, Kuldeep Kumar Bhasin|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23klhs
title: CCDC 1953325: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23kyrd
title: CCDC 1953674: Experimental Crystal Structure Determination

description: Related Article: Sarah D. Helland, Alison S. Chang, Keren W. Lee, Phillips S. Hutchison, William W. Brennessel, William Thyssen Eckenhoff|2020|Inorg.Chem.|59|705|doi:10.1021/acs.inorgchem.9b02955
description: Related Article: William T. Eckenhoff, Alison S. Chang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23m5gd
title: CCDC 1954843: Experimental Crystal Structure Determination

description: Related Article: Sara Monteiro, Karel Pauk, Zdeňka Růžičková, Catarina Carvalho, Jan Pavlík, Ales Imramovsky|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23m676
title: CCDC 1954867: Experimental Crystal Structure Determination

description: Related Article: Sara Monteiro, Aleš Imramovský, Karel Pauk, Zdeňka Růžičková, Catarina Carvalho and Jan Pavlík|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23vdn1
title: CCDC 1961793: Experimental Crystal Structure Determination

description: Related Article: Alfonso Castiñeiras, Nuria Fernández-Hermida, Isabel García-Santos, and Lourdes Gómez-Rodríguez Castineiras|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23y17c
title: CCDC 1964322: Experimental Crystal Structure Determination

description: Related Article: Maura Malinska, Maria Gorna, Matthew Merski|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26ffbf
title: CCDC 2038694: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Helena Brake, Alexander Virovets, Manfred Scheer|2020|CSD Communication|||
DOI: 10.5063/d50kcv
title: Abundance and performance of Bromus tectorum and the broader herbaceous community in shrub and open microsites across the Great Basin, Mojave, and San Joaquin Deserts

description: This data provides the abundance, whole-plant biomass, and spikelet production of Bromus tectorum; native abundance (all species combined); native species richness; exotic species richness; and total species richness in paired shrub and open microsites (i.e., near and away from a focal shrub) at 9 study sites along an environmental gradient across the Great Basin, San Joaquin, and Mojave Deserts, USA. We recorded data for 20 shrub-open pairs (i.e., replicates) at each site. Each data point also gives the site name, replicate (1-20), date of data collection, site-level aridity score for the study year (2020), the average site-level aridity score over the last 20 years, the shrub species, and the volume of the shrub. Data were collected using a 0.25m^2 quadrat subdivided into 100 squares.
DOI: 10.6084/m9.figshare.14123369
title: R source package “rRiskGEvec_1.2.tar.gz” from Quantifying the risk of vector-borne disease transmission attributable to genetically modified vectors

description: Provides R code and data for full reproducibility of results.
DOI: 10.6084/m9.figshare.14123369.v1
title: R source package “rRiskGEvec_1.2.tar.gz” from Quantifying the risk of vector-borne disease transmission attributable to genetically modified vectors

description: Provides R code and data for full reproducibility of results.
DOI: 10.5281/zenodo.4571622
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.3886/e113058v1-80240
title: Replication data for: Does Extending Unemployment Benefits Improve Job Quality?

description: Contrary to standard search models predictions, past studies have not found a positive effect of unemployment insurance (UI) on reemployment wages. We estimate a positive UI wage effect exploiting an age-based regression discontinuity design in Austria. A search model incorporating duration dependence predicts two countervailing forces: UI induces workers to seek higher-wage jobs, but reduces wages by lengthening unemployment. Matching-function heterogeneity plausibly generates a negative relationship between the UI unemployment-duration and wage effects, which holds empirically in our sample and across studies, reconciling disparate wage-effect estimates. Empirically, UI raises wages by improving reemployment firm quality and attenuating wage drops.
DOI: 10.3886/e119446v62
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.3886/e130561v1-80280
title: covid-19 data sharing

description: Prospective cohort hospital-based study on 539 individuals suspected to carry SARS-COV-2
DOI: 10.6084/m9.figshare.14138417.v1
title: R script for red blood cell review

description: R script for Revisiting the question of nucleated versus enucleated erythrocytes in birds and mammals.<b></b>
DOI: 10.5517/ccdc.csd.cc256ty5
title: CCDC 2002567: Experimental Crystal Structure Determination

description: Related Article: Klaus Banert, Manuel Heck, Andreas Ihle, Tharallah Shoker, Michael Wörle, A. Daniel Boese|2020|Chem.-Eur.J.|27|3700|doi:10.1002/chem.202003933
DOI: 10.5517/ccdc.csd.cc256tz6
title: CCDC 2002568: Experimental Crystal Structure Determination

description: Related Article: Klaus Banert, Manuel Heck, Andreas Ihle, Tharallah Shoker, Michael Wörle, A. Daniel Boese|2020|Chem.-Eur.J.|27|3700|doi:10.1002/chem.202003933
DOI: 10.5517/ccdc.csd.cc256v08
title: CCDC 2002569: Experimental Crystal Structure Determination

description: Related Article: Klaus Banert, Manuel Heck, Andreas Ihle, Tharallah Shoker, Michael Wörle, A. Daniel Boese|2020|Chem.-Eur.J.|27|3700|doi:10.1002/chem.202003933
DOI: 10.5517/ccdc.csd.cc256v2b
title: CCDC 2002571: Experimental Crystal Structure Determination

description: Related Article: Klaus Banert, Manuel Heck, Andreas Ihle, Tharallah Shoker, Michael Wörle, A. Daniel Boese|2020|Chem.-Eur.J.|27|3700|doi:10.1002/chem.202003933
DOI: 10.5517/ccdc.csd.cc258k67
title: CCDC 2004218: Experimental Crystal Structure Determination

description: Related Article: Klaus Banert, Manuel Heck, Andreas Ihle, Tharallah Shoker, Michael Wörle, A. Daniel Boese|2020|Chem.-Eur.J.|27|3700|doi:10.1002/chem.202003933
DOI: 10.5517/ccdc.csd.cc25jzvk
title: CCDC 2012329: Experimental Crystal Structure Determination

description: Related Article: Yong Zhang, Weiren Qiu, Yingming Yao|2021|J.Organomet.Chem.|937|121728|doi:10.1016/j.jorganchem.2021.121728
DOI: 10.5517/ccdc.csd.cc25w6r1
title: CCDC 2022153: Experimental Crystal Structure Determination

description: Related Article: Peter De'Ath, Mark R.J. Elsegood, Christopher A.G. Halliwell, Martin B. Smith|2021|J.Organomet.Chem.|937|121704|doi:10.1016/j.jorganchem.2021.121704
DOI: 10.5517/ccdc.csd.cc25w6s2
title: CCDC 2022154: Experimental Crystal Structure Determination

description: Related Article: Peter De'Ath, Mark R.J. Elsegood, Christopher A.G. Halliwell, Martin B. Smith|2021|J.Organomet.Chem.|937|121704|doi:10.1016/j.jorganchem.2021.121704
DOI: 10.5517/ccdc.csd.cc25w6t3
title: CCDC 2022155: Experimental Crystal Structure Determination

description: Related Article: Peter De'Ath, Mark R.J. Elsegood, Christopher A.G. Halliwell, Martin B. Smith|2021|J.Organomet.Chem.|937|121704|doi:10.1016/j.jorganchem.2021.121704