cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12952271.v1
title: Study1PlosOneIBIPV

description: Participants were Spanish volunteers recruited in 2018-2019 by announcements in different Spanish education centers (participating universities, vocational training centers and high schools) (opportunity sample). InstrumentsThe <b>Inventory of Beliefs about Intimate Partner Violence </b>(IBIPV, [64]) comprises 22 items rated on a seven-point scale from 1 (<i>totally disagree</i>) to 7 (<i>totally agree</i>) which reflect three dimensions: <i>Justifying Partner Violence </i>(F1-JPV, 6-items, α = .71); <i>Victims Responsible for Violence </i>(F2-VRV, 9-ítems, α = .93); and <i>Abuser Responsible for Violence </i>(F3-ARV, 7-items, α = .84). After reversing the scores of item 3, and the seven items of subscale ARV, so that all 22 items maintain the same sense in the construct, higher scores indicate higher tolerance towards IPVAW (i.e. lower rejection towards IPVAW). The <b>Inventory of Distorted Thoughts about Women and Violence</b> (IPDMV in the Spanish acronym, [57, 58]; adapted version of Ferrer et al. [61]) comprises 24 items related to four dimensions: <i>Inferiority of Women Compared to Men</i> (F1-IW, 7 items, α = .86); <i>Blaming Female Victims of Abuse</i> (F2-BW, 7 items, α = .62); <i>Violence as an Appropriate Problem-solving Strategy </i>(F3-VP, 5 items, : α = .69); and <i>Minimization and Exoneration of the Abuser</i> (F4-MA, 5 items, α = .53). Responses are given in a four-point scale from 1 (<i>totally disagree</i>) to 4 (<i>totally agree</i>), and the higher the scores, the higher the levels of distorted thoughts (i.e. the lower the rejection towards IPVAW). Finally, participants completed a brief questionnaire designed ad hoc, including some sociodemographic data, such as gender and age, and some questions about their previous training in IPVAW.
DOI: 10.6084/m9.figshare.12950285
title: Study2PlosOne.sav

description: Participants were Spanish volunteers recruited in 2018-2019 by announcements in different Spanish education centers (participating universities, vocational training centers and high schools) (opportunity sample)<b>Instruments</b>The <b>Inventory of Beliefs about Intimate Partner Violence </b>(IBIPV, [64]) comprises 22 items rated on a seven-point scale from 1 (<i>totally disagree</i>) to 7 (<i>totally agree</i>) which reflect three dimensions: <i>Justifying Partner Violence </i>(F1-JPV, 6-items, α = .71); <i>Victims Responsible for Violence </i>(F2-VRV, 9-ítems, α = .93); and <i>Abuser Responsible for Violence </i>(F3-ARV, 7-items, α = .84). After reversing the scores of item 3, and the seven items of subscale ARV, so that all 22 items maintain the same sense in the construct, higher scores indicate higher tolerance towards IPVAW (i.e. lower rejection towards IPVAW). The <b>Inventory of Distorted Thoughts about Women and Violence</b> (IPDMV in the Spanish acronym, [57, 58]; adapted version of Ferrer et al. [61]) comprises 24 items related to four dimensions: <i>Inferiority of Women Compared to Men</i> (F1-IW, 7 items, α = .86); <i>Blaming Female Victims of Abuse</i> (F2-BW, 7 items, α = .62); <i>Violence as an Appropriate Problem-solving Strategy </i>(F3-VP, 5 items, : α = .69); and <i>Minimization and Exoneration of the Abuser</i> (F4-MA, 5 items, α = .53). Responses are given in a four-point scale from 1 (<i>totally disagree</i>) to 4 (<i>totally agree</i>), and the higher the scores, the higher the levels of distorted thoughts (i.e. the lower the rejection towards IPVAW). Finally, participants completed a brief questionnaire designed ad hoc, including some sociodemographic data, such as gender and age, and some questions about their previous training in IPVAW.<br>
DOI: 10.6084/m9.figshare.12950285.v2
title: Study2PlosOne.sav

description: Participants were Spanish volunteers recruited in 2018-2019 by announcements in different Spanish education centers (participating universities, vocational training centers and high schools) (opportunity sample)<b>Instruments</b>The <b>Inventory of Beliefs about Intimate Partner Violence </b>(IBIPV, [64]) comprises 22 items rated on a seven-point scale from 1 (<i>totally disagree</i>) to 7 (<i>totally agree</i>) which reflect three dimensions: <i>Justifying Partner Violence </i>(F1-JPV, 6-items, α = .71); <i>Victims Responsible for Violence </i>(F2-VRV, 9-ítems, α = .93); and <i>Abuser Responsible for Violence </i>(F3-ARV, 7-items, α = .84). After reversing the scores of item 3, and the seven items of subscale ARV, so that all 22 items maintain the same sense in the construct, higher scores indicate higher tolerance towards IPVAW (i.e. lower rejection towards IPVAW). The <b>Inventory of Distorted Thoughts about Women and Violence</b> (IPDMV in the Spanish acronym, [57, 58]; adapted version of Ferrer et al. [61]) comprises 24 items related to four dimensions: <i>Inferiority of Women Compared to Men</i> (F1-IW, 7 items, α = .86); <i>Blaming Female Victims of Abuse</i> (F2-BW, 7 items, α = .62); <i>Violence as an Appropriate Problem-solving Strategy </i>(F3-VP, 5 items, : α = .69); and <i>Minimization and Exoneration of the Abuser</i> (F4-MA, 5 items, α = .53). Responses are given in a four-point scale from 1 (<i>totally disagree</i>) to 4 (<i>totally agree</i>), and the higher the scores, the higher the levels of distorted thoughts (i.e. the lower the rejection towards IPVAW). Finally, participants completed a brief questionnaire designed ad hoc, including some sociodemographic data, such as gender and age, and some questions about their previous training in IPVAW.<br>
DOI: 10.6084/m9.figshare.12950285.v1
title: Study2PlosOne.sav

description: Participants were Spanish volunteers recruited in 2018-2019 by announcements in different Spanish education centers (participating universities, vocational training centers and high schools) (opportunity sample)<b>Instruments</b>The <b>Inventory of Beliefs about Intimate Partner Violence </b>(IBIPV, [64]) comprises 22 items rated on a seven-point scale from 1 (<i>totally disagree</i>) to 7 (<i>totally agree</i>) which reflect three dimensions: <i>Justifying Partner Violence </i>(F1-JPV, 6-items, α = .71); <i>Victims Responsible for Violence </i>(F2-VRV, 9-ítems, α = .93); and <i>Abuser Responsible for Violence </i>(F3-ARV, 7-items, α = .84). After reversing the scores of item 3, and the seven items of subscale ARV, so that all 22 items maintain the same sense in the construct, higher scores indicate higher tolerance towards IPVAW (i.e. lower rejection towards IPVAW). The <b>Inventory of Distorted Thoughts about Women and Violence</b> (IPDMV in the Spanish acronym, [57, 58]; adapted version of Ferrer et al. [61]) comprises 24 items related to four dimensions: <i>Inferiority of Women Compared to Men</i> (F1-IW, 7 items, α = .86); <i>Blaming Female Victims of Abuse</i> (F2-BW, 7 items, α = .62); <i>Violence as an Appropriate Problem-solving Strategy </i>(F3-VP, 5 items, : α = .69); and <i>Minimization and Exoneration of the Abuser</i> (F4-MA, 5 items, α = .53). Responses are given in a four-point scale from 1 (<i>totally disagree</i>) to 4 (<i>totally agree</i>), and the higher the scores, the higher the levels of distorted thoughts (i.e. the lower the rejection towards IPVAW). Finally, participants completed a brief questionnaire designed ad hoc, including some sociodemographic data, such as gender and age, and some questions about their previous training in IPVAW.<br>
DOI: 10.5281/zenodo.3960468
title: The White Dwarf Opportunity - Supplementary material

description: Supplementary material for '<em>The White Dwarf Opportunity: Robust Detections of Molecules in Earth-like Exoplanet Atmospheres with the James Webb Space Telescope</em>' - ApJL (2020). This repository contains three figures, and full posterior probability distributions, corresponding to the modelling and retrieval analysis from Kaltenegger & MacDonald et al. (2020). The supplementary materials are as follows: <strong>WD_host_spectrum</strong> - comparison between the Sun's spectrum and the 5000 K white dwarf spectrum used in our atmospheric models. <strong>Mixing_ratio_profiles </strong>- calculated atmospheric mixing ratio profiles of H<sub>2</sub>O, CH<sub>4</sub>, O<sub>3</sub>, CO<sub>2</sub>, N<sub>2</sub>O, CO, and CH<sub>3</sub>Cl for an Earth-like planet in the white dwarf habitable zone. <strong>PT_profile </strong>- calculated pressure-temperature (P-T) profile for an Earth-like planet in the white dwarf habitable zone. <strong>Posterior_N_trans_...</strong> - full posterior distributions from the atmospheric retrievals corresponding to 1, 2, 3, 5, 10, 25, 50, and 100 transits with JWST's NIRSpec Prism. Each corner plot depicts correlations between pairs of retrieved parameters and marginalised histograms for each parameter. Where parameters have clear upper and lower bounds, the median retrieved values and ±1σ confidence levels are given. Otherwise, parameter constraints are expressed as 2σ upper or lower bounds. For any questions, please contact: rmacdonald@astro.cornell.edu
DOI: 10.5281/zenodo.3960467
title: The White Dwarf Opportunity - Supplementary material

description: Supplementary material for '<em>The White Dwarf Opportunity: Robust Detections of Molecules in Earth-like Exoplanet Atmospheres with the James Webb Space Telescope</em>' - ApJL (2020). This repository contains three figures, and full posterior probability distributions, corresponding to the modelling and retrieval analysis from Kaltenegger & MacDonald et al. (2020). The supplementary materials are as follows: <strong>WD_host_spectrum</strong> - comparison between the Sun's spectrum and the 5000 K white dwarf spectrum used in our atmospheric models. <strong>Mixing_ratio_profiles </strong>- calculated atmospheric mixing ratio profiles of H<sub>2</sub>O, CH<sub>4</sub>, O<sub>3</sub>, CO<sub>2</sub>, N<sub>2</sub>O, CO, and CH<sub>3</sub>Cl for an Earth-like planet in the white dwarf habitable zone. <strong>PT_profile </strong>- calculated pressure-temperature (P-T) profile for an Earth-like planet in the white dwarf habitable zone. <strong>Posterior_N_trans_...</strong> - full posterior distributions from the atmospheric retrievals corresponding to 1, 2, 3, 5, 10, 25, 50, and 100 transits with JWST's NIRSpec Prism. Each corner plot depicts correlations between pairs of retrieved parameters and marginalised histograms for each parameter. Where parameters have clear upper and lower bounds, the median retrieved values and ±1σ confidence levels are given. Otherwise, parameter constraints are expressed as 2σ upper or lower bounds. For any questions, please contact: rmacdonald@astro.cornell.edu
DOI: 10.6084/m9.figshare.12925628
title: pCO2 reconstructions - Large Ensemble Testbed - NN - GFDL

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.6084/m9.figshare.12925628.v1
title: pCO2 reconstructions - Large Ensemble Testbed - NN - GFDL

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.5281/zenodo.4029239
title: us-banks-10K-sec7-tokenized

description: tokenized words for 10-K sec7 text for US banks
DOI: 10.6084/m9.figshare.12925631
title: pCO2 reconstructions - Large Ensemble Testbed - XG - GFDL

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.6084/m9.figshare.12925631.v1
title: pCO2 reconstructions - Large Ensemble Testbed - XG - GFDL

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.6084/m9.figshare.12798296.v10
title: Data and code from Rizzuto et al. “Forage stoichiometry predicts home range size in a small terrestrial herbivore"

description: Data and code used in Rizzuto et al. "Forage stoichiometry predicts home range size in a small terrestrial herbivore”.<br>The file that produces the Supporting Code, and presents the analyses in human-readable format, is “SupportingCode.Rmd”.<br>For correct compilation of the .Rmd files, please organize the files in this repository as follows:<br>- all .Rmd and .R files in a "../Code/“ folder- all .csv files in a "../Data/" folder- all .tiff files in a “../Data/StDMs_Rasters/Ratios/" folder- unzip the SamplePoints.zip file in a "../Data/GridPoints/" folder- all .rds files in a "../Results/" folder<br>Where the Code, Data, and Results folder all share the same root.<br>Please note that access to some shapefiles used to produce the maps in the manuscript, SI, or Supporting Code document was regulated by agreements with the Government of Newfoundland and Labrador and the Federal Government of Canada. As such, they could not be publicly shared. This does not impact the analyses, only the production of some visual supporting material (e.g., study area maps). Please contact the corresponding author (M. Rizzuto) for any question. <br> See README.md for details on the repository’s contents.
DOI: 10.6084/m9.figshare.12951302
title: R0216_20180208a_videos

description: Rat 0216, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12925622
title: pCO2 reconstructions - Large Ensemble Testbed - XG - CESM

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.6084/m9.figshare.12925622.v1
title: pCO2 reconstructions - Large Ensemble Testbed - XG - CESM

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.5281/zenodo.4029258
title: A pan-ontology view of machine-derived knowledge representations and feedback mechanisms for curation - dataset snapshot

description: This dataset is a snapshot associated with an analysis of multiple ontologies. The snapshot includes ontology definition files downloaded through the OBO Foundry and the Ontology Lookup Service, as well as several processed files. For details, please see the gihub repository with the analysis: https://github.com/tkonopka/pan-ontology-ml.
DOI: 10.5517/ccdc.csd.cc2399b2
title: CCDC 1945353: Experimental Crystal Structure Determination

description: Related Article: Xiaoli Chen, Lu Shang, Huali Cui, Hua Yang, Ling Liu, Yixia Ren, Jijiang Wang|2020|CrystEngComm|22|5900|doi:10.1039/D0CE00950D
description: Related Article: Xiao-Li Chen|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2399c3
title: CCDC 1945354: Experimental Crystal Structure Determination

description: Related Article: Xiaoli Chen, Lu Shang, Huali Cui, Hua Yang, Ling Liu, Yixia Ren, Jijiang Wang|2020|CrystEngComm|22|5900|doi:10.1039/D0CE00950D
description: Related Article: Xiao-Li Chen|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2399d4
title: CCDC 1945355: Experimental Crystal Structure Determination

description: Related Article: Xiaoli Chen, Lu Shang, Huali Cui, Hua Yang, Ling Liu, Yixia Ren, Jijiang Wang|2020|CrystEngComm|22|5900|doi:10.1039/D0CE00950D
description: Related Article: Xiao-Li Chen|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23px91
title: CCDC 1957473: Experimental Crystal Structure Determination

description: Related Article: Chao Han, Lei Nie, Xiao Han, Xiaoli Zhuang, Jingrui Zhang, Yulan Rui, Wei Meng|2020|New J.Chem.|44|14896|doi:10.1039/D0NJ03403G
DOI: 10.5517/ccdc.csd.cc2418yf
title: CCDC 1967444: Experimental Crystal Structure Determination

description: Related Article: Mürsel Arıcı, Yakup Can Dikilitaş, Hakan Erer, Okan Zafer Yeşilel|2020|CrystEngComm|22|5776|doi:10.1039/D0CE00732C
DOI: 10.5517/ccdc.csd.cc23pxxn
title: CCDC 1957492: Experimental Crystal Structure Determination

description: Related Article: Hai-chen Mou, Jun Ying, Ai-xiang Tian, Hong-tao Cui, Xiu-li Wang|2020|New J.Chem.|44|15122|doi:10.1039/D0NJ00103A
description: Related Article: Yingyu Li|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24ntn9
title: CCDC 1986221: Experimental Crystal Structure Determination

description: Related Article: Hammed Olawale Oloyede, Joseph Anthony Orighomisan Woods, Helmar Görls, Winfried Plass, Abiodun Omokehinde Eseola|2020|New J.Chem.|44|14849|doi:10.1039/D0NJ02347G
DOI: 10.5517/ccdc.csd.cc24ntpb
title: CCDC 1986222: Experimental Crystal Structure Determination

description: Related Article: Hammed Olawale Oloyede, Joseph Anthony Orighomisan Woods, Helmar Görls, Winfried Plass, Abiodun Omokehinde Eseola|2020|New J.Chem.|44|14849|doi:10.1039/D0NJ02347G
DOI: 10.5517/ccdc.csd.cc24ntqc
title: CCDC 1986223: Experimental Crystal Structure Determination

description: Related Article: Hammed Olawale Oloyede, Joseph Anthony Orighomisan Woods, Helmar Görls, Winfried Plass, Abiodun Omokehinde Eseola|2020|New J.Chem.|44|14849|doi:10.1039/D0NJ02347G
DOI: 10.5517/ccdc.csd.cc24ntrd
title: CCDC 1986224: Experimental Crystal Structure Determination

description: Related Article: Hammed Olawale Oloyede, Joseph Anthony Orighomisan Woods, Helmar Görls, Winfried Plass, Abiodun Omokehinde Eseola|2020|New J.Chem.|44|14849|doi:10.1039/D0NJ02347G
DOI: 10.5517/ccdc.csd.cc25fqn0
title: CCDC 2009192: Experimental Crystal Structure Determination

description: Related Article: Alex McSkimming, Arun Sridharan, Niklas B. Thompson, Peter Müller, Daniel L. M. Suess|2020|J.Am.Chem.Soc.|142|14314|doi:10.1021/jacs.0c06334
DOI: 10.5517/ccdc.csd.cc25fqp1
title: CCDC 2009193: Experimental Crystal Structure Determination

description: Related Article: Alex McSkimming, Arun Sridharan, Niklas B. Thompson, Peter Müller, Daniel L. M. Suess|2020|J.Am.Chem.Soc.|142|14314|doi:10.1021/jacs.0c06334
DOI: 10.5517/ccdc.csd.cc25fqq2
title: CCDC 2009194: Experimental Crystal Structure Determination

description: Related Article: Alex McSkimming, Arun Sridharan, Niklas B. Thompson, Peter Müller, Daniel L. M. Suess|2020|J.Am.Chem.Soc.|142|14314|doi:10.1021/jacs.0c06334
DOI: 10.5517/ccdc.csd.cc25fqr3
title: CCDC 2009195: Experimental Crystal Structure Determination

description: Related Article: Alex McSkimming, Arun Sridharan, Niklas B. Thompson, Peter Müller, Daniel L. M. Suess|2020|J.Am.Chem.Soc.|142|14314|doi:10.1021/jacs.0c06334
DOI: 10.5517/ccdc.csd.cc25jckn
title: CCDC 2011731: Experimental Crystal Structure Determination

description: Related Article: Petar Todorov, Stela Georgieva, Petia Peneva, Rusi Rusew, Boris Shivachev, Anton Georgiev|2020|New J.Chem.|44|15081|doi:10.1039/D0NJ03301D
DOI: 10.5517/ccdc.csd.cc25jclp
title: CCDC 2011732: Experimental Crystal Structure Determination

description: Related Article: Petar Todorov, Stela Georgieva, Petia Peneva, Rusi Rusew, Boris Shivachev, Anton Georgiev|2020|New J.Chem.|44|15081|doi:10.1039/D0NJ03301D
DOI: 10.5517/ccdc.csd.cc25jcmq
title: CCDC 2011733: Experimental Crystal Structure Determination

description: Related Article: Petar Todorov, Stela Georgieva, Petia Peneva, Rusi Rusew, Boris Shivachev, Anton Georgiev|2020|New J.Chem.|44|15081|doi:10.1039/D0NJ03301D
DOI: 10.5517/ccdc.csd.cc25jn8n
title: CCDC 2012001: Experimental Crystal Structure Determination

description: Related Article: Janis V. Musso, Mathis J. Benedikter, Paul Gebel, Iris Elser, Wolfgang Frey, Michael R. Buchmeiser|2020|Organometallics|39|3072|doi:10.1021/acs.organomet.0c00435
DOI: 10.5517/ccdc.csd.cc25jn9p
title: CCDC 2012002: Experimental Crystal Structure Determination

description: Related Article: Janis V. Musso, Mathis J. Benedikter, Paul Gebel, Iris Elser, Wolfgang Frey, Michael R. Buchmeiser|2020|Organometallics|39|3072|doi:10.1021/acs.organomet.0c00435
DOI: 10.5517/ccdc.csd.cc25jnbq
title: CCDC 2012003: Experimental Crystal Structure Determination

description: Related Article: Janis V. Musso, Mathis J. Benedikter, Paul Gebel, Iris Elser, Wolfgang Frey, Michael R. Buchmeiser|2020|Organometallics|39|3072|doi:10.1021/acs.organomet.0c00435
DOI: 10.5517/ccdc.csd.cc25jncr
title: CCDC 2012004: Experimental Crystal Structure Determination

description: Related Article: Janis V. Musso, Mathis J. Benedikter, Paul Gebel, Iris Elser, Wolfgang Frey, Michael R. Buchmeiser|2020|Organometallics|39|3072|doi:10.1021/acs.organomet.0c00435
DOI: 10.6084/m9.figshare.12950627
title: R0221_20180404a_videos

description: Rat 0221, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12954524
title: qnr_NAFA_2018_FINAL

description: Questionnaire associated with the 2018 North American Falconers Association members survey
DOI: 10.6084/m9.figshare.12954524.v1
title: qnr_NAFA_2018_FINAL

description: Questionnaire associated with the 2018 North American Falconers Association members survey
DOI: 10.6084/m9.figshare.12954530
title: cdbk_NAFA_2018_FINAL

description: Codebook associated with the 2018 North American Falconers Association members survey
DOI: 10.6084/m9.figshare.12954530.v1
title: cdbk_NAFA_2018_FINAL

description: Codebook associated with the 2018 North American Falconers Association members survey
DOI: 10.6084/m9.figshare.12950627.v1
title: R0221_20180404a_videos

description: Rat 0221, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12951302.v1
title: R0216_20180208a_videos

description: Rat 0216, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12093492
title: data_NAFA_2018_RAW.csv

description: Data associated with the 2018 North American Falconers Association members survey
DOI: 10.6084/m9.figshare.12093492.v2
title: data_NAFA_2018_RAW.csv

description: Data associated with the 2018 North American Falconers Association members survey
DOI: 10.6084/m9.figshare.12093492.v1
title: data_nafa_2018_RAW.csv

description: data_nafa_2018_RAW
DOI: 10.5281/zenodo.4029317
title: us-banks-10K-sec7-tokenized

description: data_2436.csv contains tokenized words for 10-K sec7/7A text for US banks new_all_2436_mda_roa.csv contains all original sec7/7A
DOI: 10.5281/zenodo.4029238
title: us-banks-10K-sec7-tokenized

description: data_2436.csv contains tokenized words for 10-K sec7/7A text for US banks new_all_2436_mda_roa.csv contains all original sec7/7A
DOI: 10.5281/zenodo.4029296
title: Data for "Learning the language of viral evolution and escape"

description: Training data from: Influenza A HA protein sequences from the NIAID Influenza Research Database (IRD) (http://www.fludb.org) HIV-1 Env protein sequences from the Los Alamos National Laboratory (LANL) HIV database (https://www.hiv.lanl.gov) <em>Coronavidae</em> spike protein sequences from the Virus Pathogen Resource (ViPR) database (https://www.viprbrc.org/brc/home.spg?decorator=corona) SARS-CoV-2 Spike protein sequences from NCBI Virus (https://www.ncbi.nlm.nih.gov/labs/virus/vssi/) SARS-CoV-2 Spike and other Betacoronavirus spike protein sequences from GISAID (https://www.gisaid.org/) Datasets for fitness and escape validation: Fitness single-residue DMS of HA H1 WSN33 from Doud and Bloom (2016) Fitness combinatorial DMS of antigenic site B in six HA H3 strains from Wu et al. (2020) Fitness single-residue DMS of Env BF520 and BG505 from Haddox et al. (2018) ACE2 binding affinity combinatorial DMS of Spike from Starr et al. (2020) Escape single-residue DMS of HA H1 WSN33 from Doud et al. (2018) Escape single-residue DMS of HA H3 Perth09 from Lee et al. (2019) Escape single-residue DMS of Env BG505 from Dingens et al. (2019) Escape mutations of Spike from Baum et al. (2020) Escape single-residue DMS of Spike from Greaney et al. (2020)