cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5040185
title: HR-GNSS data used in Neuro-Fuzzy Kinematic Finite-Fault Inversion: 2. Application to the Mw6.2, 24/August/2016, Amatrice Earthquake

description: Here are the high-rate GNSS data we used to infer the low-frequency components of seismic source radiation within the M 6.2, 24/August/2016, Amatrice Earthquake. In particular, the traces are used to constrain frequencies between 0.03-0.06 Hz. This data has been used to evaluate the performance of the method, in a train/test split procedure, described in the manuscript. We upload data here to comply with AGU Fair data policy (https://www.agu.org/Publish-with-AGU/Publish/Author-Resources/Policies/Data-policy) Please find the pre-print of the manuscript from the ESSOAR (https://doi.org/10.1002/essoar.10504341.1). Notice that the complete set of data are reposited on INGV FTP server: ftp://gpsfree.gm.ingv.it/amatrice2016/ The data is originally processed by Avallone et al. (2016), and the detailed analysis procedure has been explained there. In the case where you used this data, please cite the original articles: Avallone, A., Latorre, D., Serpelloni, E., Cavaliere, A., Herrero, A., Cecere, G., ... & Selvaggi, G. (2016). Coseismic displacement waveforms for the 2016 August 24 Mw 6.0 Amatrice earthquake (central Italy) carried out from High-Rate GPS data. Annals of Geophysics, 59. (https://doi.org/10.4401/ag-7275) Avallone, A., Selvaggi, G., D'Anastasio, E., D'Agostino, N., Pietrantonio, G., Riguzzi, F., ... & Zarrilli, L. (2010). The RING network: improvement of a GPS velocity field in the central Mediterranean. Annals of Geophysics, 53(2), 39-54. (https://doi.org/10.4401/ag-4549)
DOI: 10.5281/zenodo.5013716
title: FOCI model output used in the study by Ivanciu et al. - Twenty-first century Southern Hemisphere impacts of ozone recovery and climate change from the stratosphere to the ocean

description: This dataset comprises the output from simulations with the coupled climate model FOCI (Flexible Ocean and Climate Infrastructure, Matthes et al., 2020) used in the analysis presented in the study by Ivanciu et al., 2021 “Twenty-first century Southern Hemisphere impacts of ozone recovery and climate change from the stratosphere to the ocean”. Four ensembles of three simulations each were performed: FixODS (II012, II014, II016), FixGHG (II013, II015, II017), INTERACT_O3 (SW128, II010, II011) and PRESC_O3 (JH027, II037, JH039). A detailed description of the simulations can be found in the above-mentioned manuscript.
DOI: 10.5281/zenodo.5013715
title: FOCI model output used in the study by Ivanciu et al. - Twenty-first century Southern Hemisphere impacts of ozone recovery and climate change from the stratosphere to the ocean

description: This dataset comprises the output from simulations with the coupled climate model FOCI (Flexible Ocean and Climate Infrastructure, Matthes et al., 2020) used in the analysis presented in the study by Ivanciu et al., 2021 “Twenty-first century Southern Hemisphere impacts of ozone recovery and climate change from the stratosphere to the ocean”. Four ensembles of three simulations each were performed: FixODS (II012, II014, II016), FixGHG (II013, II015, II017), INTERACT_O3 (SW128, II010, II011) and PRESC_O3 (JH027, II037, JH039). A detailed description of the simulations can be found in the above-mentioned manuscript.
DOI: 10.5517/ccdc.csd.cc27p1cc
title: CCDC 2075802: Experimental Crystal Structure Determination

description: Related Article: Tomoki Hirohata, Naoki Shida, Hidehiro Uekusa, Nobuhiro Yasuda, Hirotomo Nishihara, Tomoki Ogoshi, Ikuyoshi Tomita, Shinsuke Inagi|2021|Chem.Commun.|57|6360|doi:10.1039/D1CC02413B
DOI: 10.5517/ccdc.csd.cc1zpx9w
title: CCDC 1838309: Experimental Crystal Structure Determination

description: Related Article: Eugeny P. Ivakhnenko, Pavel A. Knyazev, Yulia G. Vitkovskaya, Leonid D. Popov, Konstantin A. Lyssenko, Oleg P. Demidov, Andrey G. Starikov, Gennady S. Borodkin, Vladimir I. Minkin|2021|Eur.J.Inorg.Chem.|2021|2055|doi:10.1002/ejic.202100184
DOI: 10.5517/ccdc.csd.cc27qgct
title: CCDC 2077166: Experimental Crystal Structure Determination

description: Related Article: Junhee Kim, Junmyeong Park, Dongwon Kim, Martino Di Serio, Ok-Sang Jung|2021|Inorg.Chem.Front.|8|3292|doi:10.1039/D1QI00540E
DOI: 10.5517/ccdc.csd.cc27qgdv
title: CCDC 2077167: Experimental Crystal Structure Determination

description: Related Article: Junhee Kim, Junmyeong Park, Dongwon Kim, Martino Di Serio, Ok-Sang Jung|2021|Inorg.Chem.Front.|8|3292|doi:10.1039/D1QI00540E
DOI: 10.5517/ccdc.csd.cc27qgfw
title: CCDC 2077168: Experimental Crystal Structure Determination

description: Related Article: Junhee Kim, Junmyeong Park, Dongwon Kim, Martino Di Serio, Ok-Sang Jung|2021|Inorg.Chem.Front.|8|3292|doi:10.1039/D1QI00540E
DOI: 10.5517/ccdc.csd.cc27qggx
title: CCDC 2077169: Experimental Crystal Structure Determination

description: Related Article: Junhee Kim, Junmyeong Park, Dongwon Kim, Martino Di Serio, Ok-Sang Jung|2021|Inorg.Chem.Front.|8|3292|doi:10.1039/D1QI00540E
DOI: 10.5517/ccdc.csd.cc27qn1p
title: CCDC 2077342: Experimental Crystal Structure Determination

description: Related Article: Mian He, Fu-Sheng Guo, Jinkui Tang, Akseli Mansikkamäki, Richard A. Layfield|2021|Chem.Commun.|57|6396|doi:10.1039/D1CC02139G
DOI: 10.5517/ccdc.csd.cc27qn2q
title: CCDC 2077343: Experimental Crystal Structure Determination

description: Related Article: Mian He, Fu-Sheng Guo, Jinkui Tang, Akseli Mansikkamäki, Richard A. Layfield|2021|Chem.Commun.|57|6396|doi:10.1039/D1CC02139G
DOI: 10.5517/ccdc.csd.cc27qvb5
title: CCDC 2077537: Experimental Crystal Structure Determination

description: Related Article: Alexander G. Harter, Thomas M. Klapötke, Jörg Stierstorfer, Michael Voggenreiter, Xiaoqing Zeng|2021|ChemPlusChem|86|870|doi:10.1002/cplu.202100214
DOI: 10.5517/ccdc.csd.cc27qvc6
title: CCDC 2077538: Experimental Crystal Structure Determination

description: Related Article: Alexander G. Harter, Thomas M. Klapötke, Jörg Stierstorfer, Michael Voggenreiter, Xiaoqing Zeng|2021|ChemPlusChem|86|870|doi:10.1002/cplu.202100214
DOI: 10.5517/ccdc.csd.cc27qvd7
title: CCDC 2077539: Experimental Crystal Structure Determination

description: Related Article: Alexander G. Harter, Thomas M. Klapötke, Jörg Stierstorfer, Michael Voggenreiter, Xiaoqing Zeng|2021|ChemPlusChem|86|870|doi:10.1002/cplu.202100214
DOI: 10.5517/ccdc.csd.cc27qvf8
title: CCDC 2077540: Experimental Crystal Structure Determination

description: Related Article: Alexander G. Harter, Thomas M. Klapötke, Jörg Stierstorfer, Michael Voggenreiter, Xiaoqing Zeng|2021|ChemPlusChem|86|870|doi:10.1002/cplu.202100214
DOI: 10.5517/ccdc.csd.cc27r0mn
title: CCDC 2077701: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Zi-Wei Zhang, Wen-Yong Han, Yu-Chen Fang, Ping Yang, Lin-Qiang Li, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3413|doi:10.1039/D1QO00458A
DOI: 10.5517/ccdc.csd.cc27s169
title: CCDC 2078680: Experimental Crystal Structure Determination

description: Related Article: Guanzhao Wu,  Yangxue Liu,  Hossein Rouh,  Liulei Ma,  Yao Tang,  Sai Zhang,  Peng Zhou,  Jia‐Ying Wang,  Shengzhou Jin,  Daniel Unruh,  Kazimierz Surowiec,  Yanzhang Ma,  Guigen Li|2021|Chem.-Eur.J.|27|8013|doi:10.1002/chem.202100700
DOI: 10.5517/ccdc.csd.cc274vx5
title: CCDC 2060257: Experimental Crystal Structure Determination

description: Related Article: Pavan Sudheer Akula, Yung-Ju Wang, Bor-Cherng Hong, Gene-Hsiang Lee, Su-Ying Chien|2021|Org.Lett.|23|4688|doi:10.1021/acs.orglett.1c01426
DOI: 10.5281/zenodo.5040296
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.5040295
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.6084/m9.figshare.14879904
title: Filtering_Security_words.csv

description: The final list of key terms contained 1,758 terms related to security. Some examples of terms in this list included: “cacerolazo + delito”, “robo + buses” (“bus + robbery”), “temor + casas” (“fear + houses”)
DOI: 10.6084/m9.figshare.14879904.v2
title: Filtering_Security_words.csv

description: The final list of key terms contained 1,758 terms related to security. Some examples of terms in this list included: “cacerolazo + delito”, “robo + buses” (“bus + robbery”), “temor + casas” (“fear + houses”)
DOI: 10.6084/m9.figshare.14879904.v1
title: Filtering_Security_words.csv

description: The final list of key terms contained 1,758 terms related to security. Some examples of terms in this list included: “cacerolazo + delito”, “robo + buses” (“bus + robbery”), “temor + casas” (“fear + houses”)
DOI: 10.6084/m9.figshare.14865987
title: CNN_training_data

description: Training data used for CNN model of pupal ecdysis movements. <br>Accompanies Figure 4-figure supplement 1 A, B, C; Figure 9-figure supplement 1 D; Figure 11 B.
DOI: 10.6084/m9.figshare.14865987.v1
title: CNN_training_data

description: Training data used for CNN model of pupal ecdysis movements. <br>Accompanies Figure 4-figure supplement 1 A, B, C; Figure 9-figure supplement 1 D; Figure 11 B.
DOI: 10.25422/azu.data.14298227
title: Climate as the great equalizer of continental-scale erosion

description: The following supporting information contains: The detailed location and age data for the thermochronology used in this study, and their associated publications, paleogeographical reconstructions, bouguer gravity anomaly (crustal thickness) for Central Asia, averaged modern rainfall for Central Asia and paleoclimate simulation methods. <br><br>Table S1. List of samples, latitude, longitude (WGS84), reported age, reported error, associated publication, and thermochronometric method.<br><br><br>Table S2. A complete list of publications used in this study. Publications which did not provide precise latitude and longitude measurements are noted. Thermochronometric ages can be found in Table S1.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.14298227.v1
title: Climate as the great equalizer of continental-scale erosion

description: The following supporting information contains: The detailed location and age data for the thermochronology used in this study, and their associated publications, paleogeographical reconstructions, bouguer gravity anomaly (crustal thickness) for Central Asia, averaged modern rainfall for Central Asia and paleoclimate simulation methods. <br><br>Table S1. List of samples, latitude, longitude (WGS84), reported age, reported error, associated publication, and thermochronometric method.<br><br><br>Table S2. A complete list of publications used in this study. Publications which did not provide precise latitude and longitude measurements are noted. Thermochronometric ages can be found in Table S1.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.5517/ccdc.csd.cc271t15
title: CCDC 2057316: Experimental Crystal Structure Determination

description: Related Article: Vaishnavi N. Nair, Volga Kojasoy, Croix J. Laconsay, Wang Yeuk Kong, Dean J. Tantillo, Uttam K. Tambar|2021|J.Am.Chem.Soc.|143|9016|doi:10.1021/jacs.1c00283
DOI: 10.5517/ccdc.csd.cc271t26
title: CCDC 2057317: Experimental Crystal Structure Determination

description: Related Article: Vaishnavi N. Nair, Volga Kojasoy, Croix J. Laconsay, Wang Yeuk Kong, Dean J. Tantillo, Uttam K. Tambar|2021|J.Am.Chem.Soc.|143|9016|doi:10.1021/jacs.1c00283
DOI: 10.5517/ccdc.csd.cc271t37
title: CCDC 2057318: Experimental Crystal Structure Determination

description: Related Article: Vaishnavi N. Nair, Volga Kojasoy, Croix J. Laconsay, Wang Yeuk Kong, Dean J. Tantillo, Uttam K. Tambar|2021|J.Am.Chem.Soc.|143|9016|doi:10.1021/jacs.1c00283
DOI: 10.5517/ccdc.csd.cc274t3b
title: CCDC 2060201: Experimental Crystal Structure Determination

description: Related Article: You-Quan Zou, Dawei Zhang, Tanya K. Ronson, Andrew Tarzia, Zifei Lu, Kim E. Jelfs, Jonathan R. Nitschke|2021|J.Am.Chem.Soc.|143|9009|doi:10.1021/jacs.1c05172
DOI: 10.5517/ccdc.csd.cc274t4c
title: CCDC 2060202: Experimental Crystal Structure Determination

description: Related Article: You-Quan Zou, Dawei Zhang, Tanya K. Ronson, Andrew Tarzia, Zifei Lu, Kim E. Jelfs, Jonathan R. Nitschke|2021|J.Am.Chem.Soc.|143|9009|doi:10.1021/jacs.1c05172
DOI: 10.5517/ccdc.csd.cc274t5d
title: CCDC 2060203: Experimental Crystal Structure Determination

description: Related Article: You-Quan Zou, Dawei Zhang, Tanya K. Ronson, Andrew Tarzia, Zifei Lu, Kim E. Jelfs, Jonathan R. Nitschke|2021|J.Am.Chem.Soc.|143|9009|doi:10.1021/jacs.1c05172
DOI: 10.5517/ccdc.csd.cc274t6f
title: CCDC 2060204: Experimental Crystal Structure Determination

description: Related Article: You-Quan Zou, Dawei Zhang, Tanya K. Ronson, Andrew Tarzia, Zifei Lu, Kim E. Jelfs, Jonathan R. Nitschke|2021|J.Am.Chem.Soc.|143|9009|doi:10.1021/jacs.1c05172
DOI: 10.5517/ccdc.csd.cc274t7g
title: CCDC 2060205: Experimental Crystal Structure Determination

description: Related Article: You-Quan Zou, Dawei Zhang, Tanya K. Ronson, Andrew Tarzia, Zifei Lu, Kim E. Jelfs, Jonathan R. Nitschke|2021|J.Am.Chem.Soc.|143|9009|doi:10.1021/jacs.1c05172
DOI: 10.5517/ccdc.csd.cc27db99
title: CCDC 2067430: Experimental Crystal Structure Determination

description: Related Article: Haruka Kano,  Kyohei Matsuo,  Hironobu Hayashi,  Kosaku Kato,  Akira Yamakata,  Hiroko Yamada,  Naoki Aratani|2021|Eur.J.Org.Chem.|2021|3377|doi:10.1002/ejoc.202100276
DOI: 10.25422/azu.data.12857885
title: Data for "Diffraction-limited integral-field spectroscopy for extreme adaptive-optics systems with the Multi-Core fiber-fed Integral-Field Unit"

description: Direct imaging instruments have the spatial resolution to resolve exoplanets from their host star. This enables direct characterization of the exoplanet’s atmosphere, but most direct imaging instruments do not have spectrographs with high enough spectral resolving power for detailed atmospheric characterization. We used recent advances in photonic manufacturing to create the Multi-Core fiber-fed Integral-Field Unit (MCIFU), a novel integral-field spectrograph for telescopes that have adaptive optics systems. The data set is a collection of data files from the MCIFU project that were used to validate and measure the performance of the MCIFU, both in the lab and on-sky. The on-sky data was taken with the adaptive optics instrument CANARY at the 4.2m William Herschel Telescope on the Canary Islands in July 2019. The data that is collected here was used to create the figures in the draft "Diffraction-limited integral-field spectroscopy for extreme adaptive optics systems with the Multi-Core fiber-fed Integral-Field Unit" that is under review in JATIS.<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><pre><i></i></pre>
DOI: 10.5281/zenodo.5040018
title: A dataset for tracking the activity and abundance of Bogong moths at Mt Gingera, ACT in the austral summer of 2020-2021

description: This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Gingera, ACT in the austral summer of 2020-2021. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (https://github.com/J-Wall/camfi).
DOI: 10.5281/zenodo.5040017
title: A dataset for tracking the activity and abundance of Bogong moths at Mt Gingera, ACT in the austral summer of 2020-2021

description: This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Gingera, ACT in the austral summer of 2020-2021. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (https://github.com/J-Wall/camfi).
DOI: 10.25422/azu.data.12456536.v2
title: Metropolitan Geographic Definitions and Code for "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities."

description: Safe, reliable, and equitable water access is critical to human health and livelihoods. In this study, we undertake the first systematic and comprehensive analysis of household piped water access in the United States, with the aim of explaining drivers of infrastructural inequality in the 50 largest metropolitan areas. Drawing on statistical analysis and regression modeling of U.S. census microdata at the household scale, our analysis reveals spatial and sociodemographic patterns of racialized, class-based, and housing disparities that characterize plumbing poverty across metropolitan areas.<br><br>This dataset includes relevant supplemental data for our manuscript titled, "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities" (forthcoming, PNAS). Here, we present customized Public Use Microdata Sample (PUMS) definitions used in our study that make U.S. Metropolitan Statistical Area (MSA) geographies comparable over time, as well as the accompanying R code for statistical analysis of census microdata and the creation of spatial visualizations. <br><br>Parties interested in collaborating on use of the full script may contact the corresponding author (K. Meehan).<br><br>If you use this dataset or code, please cite as follows:<br>Meehan, Katie; Jason R. Jurjevich; Nicholas M.J.W. Chun, and Justin Sherrill (2020): Metropolitan Geographic Definitions and Code for "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities." Tucson, AZ: University of Arizona Research Data Repository. https://doi.org/10.25422/azu.data.12456536<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br>
DOI: 10.25422/azu.data.12456536
title: Metropolitan Geographic Definitions and Code for "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities."

description: Safe, reliable, and equitable water access is critical to human health and livelihoods. In this study, we undertake the first systematic and comprehensive analysis of household piped water access in the United States, with the aim of explaining drivers of infrastructural inequality in the 50 largest metropolitan areas. Drawing on statistical analysis and regression modeling of U.S. census microdata at the household scale, our analysis reveals spatial and sociodemographic patterns of racialized, class-based, and housing disparities that characterize plumbing poverty across metropolitan areas.<br><br>This dataset includes relevant supplemental data for our manuscript titled, "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities" (forthcoming, PNAS). Here, we present customized Public Use Microdata Sample (PUMS) definitions used in our study that make U.S. Metropolitan Statistical Area (MSA) geographies comparable over time, as well as the accompanying R code for statistical analysis of census microdata and the creation of spatial visualizations. <br><br>Parties interested in collaborating on use of the full script may contact the corresponding author (K. Meehan).<br><br>If you use this dataset or code, please cite as follows:<br>Meehan, Katie; Jason R. Jurjevich; Nicholas M.J.W. Chun, and Justin Sherrill (2020): Metropolitan Geographic Definitions and Code for "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities." Tucson, AZ: University of Arizona Research Data Repository. https://doi.org/10.25422/azu.data.12456536<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br>
DOI: 10.25422/azu.data.12456536.v1
title: Metropolitan Geographic Definitions and Code for "Geographies of Urban Water Access and Infrastructural Inequality in U.S. Cities."

description: Safe, reliable, and equitable water access is critical to human health and livelihoods. In this study, we undertake the first systematic and comprehensive analysis of household piped water access in the United States, with the aim of explaining drivers of infrastructural inequality in the 50 largest metropolitan areas. Drawing on statistical analysis and regression modeling of U.S. census microdata at the household scale, our analysis reveals spatial and sociodemographic patterns of racialized, class-based, and housing disparities that characterize plumbing poverty across metropolitan areas.<br><br>This dataset includes relevant supplemental data for our manuscript titled, "Geographies of Urban Water Access and Infrastructural Inequality in U.S. Cities" (manuscript under review). Here, we present customized Public Use Microdata Sample (PUMS) definitions used in our study that make U.S. Metropolitan Statistical Area (MSA) geographies comparable over time, as well as the accompanying R code for statistical analysis of census microdata and the creation of spatial visualizations. <br><br>Parties interested in collaborating on use of the full script may contact the corresponding author (K. Meehan).<br><br>If you use this dataset or code, please cite as follows:<br>Meehan, Katie; Jason R. Jurjevich; Nicholas M.J.W. Chun, and Justin Sherrill (2020): Metropolitan Geographic Definitions and Code for "Geographies of Urban Water Access and Infrastructural Inequality in U.S. Cities." Tucson, AZ: University of Arizona Research Data Repository. https://doi.org/10.25422/azu.data.12456536<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br>
DOI: 10.25422/azu.data.12712856
title: How Cholesterol Stiffens Unsaturated Lipid Membranes

description: Solid-state deuterium nuclear magnetic resonance (2H NMR) spectroscopy data are reported. Cholesterol locally increases the bending rigidity of DOPC membranes, similar to saturated membranes, by increasing the bilayer’s packing density. Solid-state NMR is inherently sensitive to mesoscale bending fluctuations, showing up to a 3-fold increase in effective bending rigidity with increasing cholesterol content approaching a 50% mole fraction. Our observations are in good agreement with the known effects of cholesterol on the area compressibility modulus and membrane structure, reaffirming membrane structure-property relationships.<br><i>ReDATA note: this dataset contains the NMR data only. See https://doi.org/10.7294/V8W6-7760 for the main dataset. </i><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br>