cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-569452134
title: Structural Biology of Macromolecules and Macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX, SAXS and CryoEM to study different biological macromolecules. Together, these groups address multiple pathways in animals, plants, bacteria and fungi. These studies will provide fundamental mechanistic insight regarding different processes critical for the survival and propagation of the relevant organism. Many groups in the BAG study proteins from pathogens to identify novel intervention points that can be the targeted with small molecule inhibitors to inhibit the growth of the corresponding infectious agents. There are more than 50 groups that are part of this BAG and the allocated beamtime will be available for over 500 young researchers. A brief description of all the research groups is provided in the global summary and a summary of the research contributions involving data collected at ESRF is provided in the last BAG report.
DOI: 10.15151/esrf-es-618867319
title: IBS BAG

description: The IBS BAG currently includes 24 IBS teams and 4 external groups from CERMAV and iRTSV/CEA (Grenoble), CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study structure-function relationships of proteins emphasizing in human health, biotechnology and methodology. Most of the projects can be grouped in different topics as follows: host-pathogen interaction, immunology, new drug targets, fundamental cellular mechanisms, membrane proteins, intrinsically disordered proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, SAXS, NMR (and cryo-EM), together with other biophysical studies) with the aim to fully understand the complexity of the biological macromolecular systems on study. Some other teams are dedicated to serial crystallography and its developments, for which the new ESRF-EBS might be the perfect tool.
DOI: 10.15151/esrf-es-625794405
title: Phosphorus hotspots entrapped in pedogenic carbonate coatings characterized by distinct microscale arrangement in two forested calcareous so

description: Investigation of P hotspots on nanosims investigated regolith samples
DOI: 10.26182/t6pv-mj30
title: Effects of simulated high altitude on blood glucose levels during exercise in individuals with Type 1 Diabetes
DOI: 10.18112/openneuro.ds003176.v2.0.0
title: Neurophysiological indicators of internal attention: An fMRI–eye-tracking coregistration study
DOI: 10.15468/u79sjd
title: Metapocyrtus um sp. nov., a new weevil species (Coleoptera, Curculionidae, Entiminae, Pachyrhynchini) from Davao City, Mindanao Island, Philippines

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cabras, Analyn A., Lam, Athena W., Van Dam, Matthew H. (2021): Metapocyrtus um sp. nov., a new weevil species (Coleoptera, Curculionidae, Entiminae, Pachyrhynchini) from Davao City, Mindanao Island, Philippines. Zootaxa 5068 (4): 597-600, DOI: https://doi.org/10.11646/zootaxa.5068.4.10
DOI: 10.5517/ccdc.csd.cc28jlp3
title: CCDC 2101325: Experimental Crystal Structure Determination

description: Related Article: Janine Kowalke, Erica Brendler, Jörg Wagler|2021|J.Organomet.Chem.|956|122126|doi:10.1016/j.jorganchem.2021.122126
DOI: 10.5517/ccdc.csd.cc28jlq4
title: CCDC 2101326: Experimental Crystal Structure Determination

description: Related Article: Janine Kowalke, Erica Brendler, Jörg Wagler|2021|J.Organomet.Chem.|956|122126|doi:10.1016/j.jorganchem.2021.122126
DOI: 10.5517/ccdc.csd.cc28k2zx
title: CCDC 2101799: Experimental Crystal Structure Determination

description: Related Article: Yusuke Masuda, Masumi Uno, Masahiro Murakami|2021|Org.Lett.|23|8445|doi:10.1021/acs.orglett.1c03168
DOI: 10.5517/ccdc.csd.cc28bnx6
title: CCDC 2095628: Experimental Crystal Structure Determination

description: Related Article: Hong-Mei Pan, Kai Xu, Fan-Lei Meng, Hui Ge, Xu Yin, Xiao-Min Wu, Xiao-Wu Lei, Zhi-Hong Jing, Cheng-Yang Yue|2021|Inorg.Chem.|60|16906|doi:10.1021/acs.inorgchem.1c02330
DOI: 10.5517/ccdc.csd.cc28gfpw
title: CCDC 2099248: Experimental Crystal Structure Determination

description: Related Article: Dan Li, Xiao-Li Tan, Lin-Lin Chen, Xin-Yu Liu, Ya-Min Li, Dong-Bin Dang, Yan Bai|2022|J.Solid State Chem.|305|122694|doi:10.1016/j.jssc.2021.122694
DOI: 10.5517/ccdc.csd.cc28gfqx
title: CCDC 2099249: Experimental Crystal Structure Determination

description: Related Article: Dan Li, Xiao-Li Tan, Lin-Lin Chen, Xin-Yu Liu, Ya-Min Li, Dong-Bin Dang, Yan Bai|2022|J.Solid State Chem.|305|122694|doi:10.1016/j.jssc.2021.122694
DOI: 10.5517/ccdc.csd.cc28gfry
title: CCDC 2099250: Experimental Crystal Structure Determination

description: Related Article: Dan Li, Xiao-Li Tan, Lin-Lin Chen, Xin-Yu Liu, Ya-Min Li, Dong-Bin Dang, Yan Bai|2022|J.Solid State Chem.|305|122694|doi:10.1016/j.jssc.2021.122694
DOI: 10.5517/ccdc.csd.cc28gfsz
title: CCDC 2099251: Experimental Crystal Structure Determination

description: Related Article: Dan Li, Xiao-Li Tan, Lin-Lin Chen, Xin-Yu Liu, Ya-Min Li, Dong-Bin Dang, Yan Bai|2022|J.Solid State Chem.|305|122694|doi:10.1016/j.jssc.2021.122694
DOI: 10.6084/m9.figshare.17038946
title: cpSSR primers of Allium przewalskianum

description: Characterization Analysis of Microsatellite in Chloroplast of Allium przewalskianum
DOI: 10.6084/m9.figshare.17038946.v2
title: cpSSR primers of Allium przewalskianum

description: Characterization Analysis of Microsatellite in Chloroplast of Allium przewalskianum
DOI: 10.6084/m9.figshare.17038946.v1
title: Untitled Item

description: Characterization Analysis of Microsatellite in Chloroplast of Allium przewalskianum
DOI: 10.7910/dvn/zqwvyj
title: Green Technology Publication Dataset (1988-2020)

description: The research & publication dataset of green technology, which was indexed by Scopus between 1988 to 2020. The dataset contains 5,383 documents data: authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, correspondence address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID. (2021-08-28) (2021-09-04)
DOI: 10.5281/zenodo.5709686
title: Elevational variability and controls on temperature sensitivity of soil organic matter decomposition in alpine forests

description: All data for ECS21-0520 "Elevational variability and controls on temperature sensitivity of soil organic matter decomposition in alpine forests"
DOI: 10.25934/pr00005648.0
title: Available IPD datapackage for study 'Randomized Phase III Open-Label Study Comparing the Efficacy and Safety of Crizotinib and CH5424802 in ALK-Positive Advanced or Recurrent Non-Small Cell Lung Cancer'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.5528124
title: Simulated Room Impulse Response for 44.1k Audio

description: We randomly simulated a collection of Room Impulse Response filters to simulate the 44.1kHz speech room reverberation using an open-source tool (https://github.com/sunits/rir_simulator_python). The meters of height, width, and length of the room are sampled randomly in a uniform distribution U(1,12). The placement of the microphone is then randomly selected within the room space. For the placement of the sound source, we first determined the distance between the microphone and sound source, which is randomly sampled in a Gaussian distribution N(\mu,\sigma^2), \mu=2, \sigma=4. If the sampled value is negative or greater than five meters, we will sample the distance again until it meets the requirement. After determined the distance between the microphone and sound source, the placement of the sound source is randomly selected on the sphere centered at the microphone. The RT60 value we choose comes from the uniform distribution U(0.05,1.0). For the pickup pattern of the microphone, we randomly choose from types omnidirectional and cardioid. If you found this dataset helpful, please consider citing: <pre>@article{liu2021voicefixer, title={VoiceFixer: Toward General Speech Restoration with Neural Vocoder}, author={Liu, Haohe and Kong, Qiuqiang and Tian, Qiao and Zhao, Yan and Wang, DeLiang and Huang, Chuanzeng and Wang, Yuxuan}, journal={arXiv preprint arXiv:2109.13731}, year={2021} }</pre>
DOI: 10.5281/zenodo.5528123
title: Simulated Room Impulse Response for 44.1k Audio

description: We randomly simulated a collection of Room Impulse Response filters to simulate the 44.1kHz speech room reverberation using an open-source tool (https://github.com/sunits/rir_simulator_python). The meters of height, width, and length of the room are sampled randomly in a uniform distribution U(1,12). The placement of the microphone is then randomly selected within the room space. For the placement of the sound source, we first determined the distance between the microphone and sound source, which is randomly sampled in a Gaussian distribution N(\mu,\sigma^2), \mu=2, \sigma=4. If the sampled value is negative or greater than five meters, we will sample the distance again until it meets the requirement. After determined the distance between the microphone and sound source, the placement of the sound source is randomly selected on the sphere centered at the microphone. The RT60 value we choose comes from the uniform distribution U(0.05,1.0). For the pickup pattern of the microphone, we randomly choose from types omnidirectional and cardioid. If you found this dataset helpful, please consider citing: <pre>@article{liu2021voicefixer, title={VoiceFixer: Toward General Speech Restoration with Neural Vocoder}, author={Liu, Haohe and Kong, Qiuqiang and Tian, Qiao and Zhao, Yan and Wang, DeLiang and Huang, Chuanzeng and Wang, Yuxuan}, journal={arXiv preprint arXiv:2109.13731}, year={2021} }</pre>
DOI: 10.25934/pr00005580.0
title: Available IPD datapackage for study 'Randomized, Multicenter, Phase III, Open-Label Study of Alectinib Versus Crizotinib in Treatment-Naive Anaplastic Lymphoma Kinase-Positive Advanced Non-Small Cell Lung Cancer'

description: This randomized, active controlled, multicenter phase III open-label study is designed to evaluate the efficacy and safety of alectinib compared with crizotinib treatment in participants with treatment-naive anaplastic lymphoma kinase-positive (ALK-positive) advanced non-small cell lung cancer (NSCLC). Participants will be randomized in a 1:1 ratio to receive either alectinib, 600 milligrams (mg) orally twice daily (BID), or crizotinib, 250 mg orally BID. Participants will receive treatment until disease progression, unacceptable toxicity, consent withdrawal or death. The study is expected to last approximately 42 months.
DOI: 10.5281/zenodo.5528144
title: Toward General Speech Restoration With VoiceFixer - Testsets

description: This is the test set for the paper VoiceFixer: Toward General Speech Restoration with Neural Vocoder<em>.</em> If you found this dataset helpful, please consider citing: <pre>@article{liu2021voicefixer, title={VoiceFixer: Toward General Speech Restoration with Neural Vocoder}, author={Liu, Haohe and Kong, Qiuqiang and Tian, Qiao and Zhao, Yan and Wang, DeLiang and Huang, Chuanzeng and Wang, Yuxuan}, journal={arXiv preprint arXiv:2109.13731}, year={2021} }</pre>
DOI: 10.5281/zenodo.5528143
title: Toward General Speech Restoration With VoiceFixer - Testsets

description: This is the test set for the paper VoiceFixer: Toward General Speech Restoration with Neural Vocoder<em>.</em> If you found this dataset helpful, please consider citing: <pre>@article{liu2021voicefixer, title={VoiceFixer: Toward General Speech Restoration with Neural Vocoder}, author={Liu, Haohe and Kong, Qiuqiang and Tian, Qiao and Zhao, Yan and Wang, DeLiang and Huang, Chuanzeng and Wang, Yuxuan}, journal={arXiv preprint arXiv:2109.13731}, year={2021} }</pre>
DOI: 10.5281/zenodo.5528132
title: Toward General Speech Restoration With VoiceFixer - Training Data

description: This data set contains speech data and noise data for the paper: VoiceFixer: Toward General Speech Restoration with Neural Vocoder. If you found this dataset helpful, please consider citing: <pre>@article{liu2021voicefixer, title={VoiceFixer: Toward General Speech Restoration with Neural Vocoder}, author={Liu, Haohe and Kong, Qiuqiang and Tian, Qiao and Zhao, Yan and Wang, DeLiang and Huang, Chuanzeng and Wang, Yuxuan}, journal={arXiv preprint arXiv:2109.13731}, year={2021} }</pre>
DOI: 10.34740/kaggle/dsv/2825527
title: Bowel sounds
DOI: 10.5281/zenodo.5709721
title: .....

description: "./Paper Data/86 Keywords for Directive-sentence" is the keywords used for extract Directive_sentence and Function_sentence.<br> "./Paper Data/128-dim-Word_Vector" is the 128-dim word_vector used for calculating text similarity<br> "./Paper Date/API-Task KG" is the result Task-API KG<br> "./Paper Date/Experiment RQ_1 and RQ_2" is the experiment data for each step
DOI: 10.5281/zenodo.5709720
title: .....

description: "./Paper Data/86 Keywords for Directive-sentence" is the keywords used for extract Directive_sentence and Function_sentence.<br> "./Paper Data/128-dim-Word_Vector" is the 128-dim word_vector used for calculating text similarity<br> "./Paper Date/API-Task KG" is the result Task-API KG<br> "./Paper Date/Experiment RQ_1 and RQ_2" is the experiment data for each step
DOI: 10.6084/m9.figshare.16575227
title: Competitive Influences of Different Plasma Waves on the Pitch Angle Distribution of Energetic Electrons inside and outside Earth’s Plasmasphere

description: <b>Introductions to Files of Simulated Data</b> 1. The bounce-averaged pitch angle diffusion, cross diffusion and energy diffusion coefficients (in hr<sup>-1</sup>) of energetic electrons (E = 1keV ‒ 10MeV) driven by plasmaspheric hiss, LH hiss and MS waves are save as the following files, respectively. Dxx_Weak_Hiss (Figures 3b ‒ d) Dxx_Intense_Hiss (Figures 3f ‒ h) Dxx_Exohiss (Figures 3j ‒ l) Dxx_MS_at_Hiss (Figures 4b ‒ d) Dxx_MS_at_Intense_Hiss (Figures 4f ‒ h) Dxx_MS_at_Exohiss (Figures 4j ‒ l) In Figure S1, the combined diffusion coefficients caused by multiple waves are a sum of diffusion coefficients caused by individual waves. 2. The electron phase space density (PSD, abbreviated as F in arbitrary unit) diffused combinedly by whistler-mode waves (hiss, LH hiss or Exohiss) and MS waves are save as the following files, respectively. PSD_Weak_Hiss_MS_Lines (Figures 5a ‒ c) PSD_Weak_Hiss_MS_2D (Figures S2a,b, c) PSD_Intense_Hiss_MS_Lines (Figures 5d ‒ f) PSD_Intense_Hiss_MS_2D (Figures S2a,d, e) PSD_Exohiss_MS_Lines (Figures 5g ‒ l) PSD_Exohiss_MS_2D (Figures S2a,f, g) 3. data.fpsd_description='first dimension is for different evolution times in hour, second dimension is for different energies in keV, third dimension is for different pitch angles in degree'<br>
DOI: 10.6084/m9.figshare.16575227.v2
title: Competitive Influences of Different Plasma Waves on the Pitch Angle Distribution of Energetic Electrons inside and outside Earth’s Plasmasphere

description: <b>Introductions to Files of Simulated Data</b> 1. The bounce-averaged pitch angle diffusion, cross diffusion and energy diffusion coefficients (in hr<sup>-1</sup>) of energetic electrons (E = 1keV ‒ 10MeV) driven by plasmaspheric hiss, LH hiss and MS waves are save as the following files, respectively. Dxx_Weak_Hiss (Figures 3b ‒ d) Dxx_Intense_Hiss (Figures 3f ‒ h) Dxx_Exohiss (Figures 3j ‒ l) Dxx_MS_at_Hiss (Figures 4b ‒ d) Dxx_MS_at_Intense_Hiss (Figures 4f ‒ h) Dxx_MS_at_Exohiss (Figures 4j ‒ l) In Figure S1, the combined diffusion coefficients caused by multiple waves are a sum of diffusion coefficients caused by individual waves. 2. The electron phase space density (PSD, abbreviated as F in arbitrary unit) diffused combinedly by whistler-mode waves (hiss, LH hiss or Exohiss) and MS waves are save as the following files, respectively. PSD_Weak_Hiss_MS_Lines (Figures 5a ‒ c) PSD_Weak_Hiss_MS_2D (Figures S2a,b, c) PSD_Intense_Hiss_MS_Lines (Figures 5d ‒ f) PSD_Intense_Hiss_MS_2D (Figures S2a,d, e) PSD_Exohiss_MS_Lines (Figures 5g ‒ l) PSD_Exohiss_MS_2D (Figures S2a,f, g) 3. data.fpsd_description='first dimension is for different evolution times in hour, second dimension is for different energies in keV, third dimension is for different pitch angles in degree'<br>
DOI: 10.6084/m9.figshare.16575227.v1
title: Competitive Influences from Different Plasma Waves on Pitch Angle Distribution of Energetic Electrons

description: <b>Introductions to Files of Simulated Data</b> 1. The bounce-averaged pitch angle diffusion, cross diffusion and energy diffusion coefficients (in hr<sup>-1</sup>) of energetic electrons (E = 100 ‒ 400keV) driven by plasmaspheric hiss, LH hiss and MS waves are save as the following files, respectively. Dxx_Hiss (Figures 3b ‒ d) Dxx_LH_Hiss (Figures 3f ‒ h) Dxx_Exohiss (Figures 3j ‒ l) Dxx_MS_at_Hiss (Figures 4b ‒ d) Dxx_MS_at_LH_Hiss (Figures 4f ‒ h) Dxx_MS_at_Exohiss (Figures 4j ‒ l) In Figure S1, the combined diffusion coefficients caused by multiple waves are a sum of diffusion coefficients caused by individual waves. 2. The electron phase space density (PSD, abbreviated as F in arbitrary unit) diffused combinedly by whistler-mode waves (hiss, LH hiss or Exohiss) and MS waves are save as the following files, respectively. PSD_Hiss_MS_Lines (Figures 5a ‒ c) PSD_Hiss_MS_2D (Figures S2a,b, c) PSD_LH_Hiss_MS_Lines (Figures 5d ‒ f) PSD_LH_Hiss_MS_2D (Figures S2a,d, e) PSD_Exohiss_MS_Lines (Figures 5g ‒ l) PSD_Exohiss_MS_2D (Figures S2a,f, g) 3. data.fpsd_description='first dimension is for different evolution times in hour, second dimension is for different energies in keV, third dimension is for different pitch angles in degree'
DOI: 10.6084/m9.figshare.14914890
title: Late Ordovician bentonite database

description: Dataset of all Late Ordovician dates analysed in bentonites.<br>Used in Figure 1 of "Late Ordovician climate change and extinctions driven by elevated volcanic nutrient supply" by Longman et al., Nat. Geosci. (2021)
DOI: 10.6084/m9.figshare.14914893
title: ICP-MS results of modern tephra analysis

description: Results of ICP-MS analysis of tephra layers from two IODP sites; U1339D (Bering Sea) and U1396C (offshore Montserrat).<br>Used in Figure 3 of "Late Ordovician climate change and extinctions driven by elevated volcanic nutrient supply" by Longman et al., Nat. Geosci. (2021) <br>
DOI: 10.6084/m9.figshare.14914896
title: Results of Monte Carlo modelling

description: Output of Monte Carlo modelling. Results shown here are the summary data of the 10,000 simulations run to estimate P supply from the GICE, HICE and the weathering of terrestrial tephra deposits.<br>Used in Figure 4 of "Late Ordovician climate change and extinctions driven by elevated volcanic nutrient supply" by Longman et al., Nat. Geosci. (2021) <br>
DOI: 10.6084/m9.figshare.17040191
title: Supplementary Material for: Epidemiology of Primary Brain Tumors in the Province of Catania during the 2003–2016 Period

description: <b><i>Introduction:</i></b> Primary brain tumors (PBTs) account for approximately 2% of all cancers and are associated with significant morbidity and mortality. However, only few epidemiological studies focus on PBTs in Italy. The aim of this study was to evaluate incidence, temporal trend, and survival rate of all PBTs in the province of Catania during the study period. <b><i>Methods:</i></b> All patients diagnosed with PBTs in the province of Catania during the 2003-2016 were identified through the local cancer registry. All cases were classified by histology according to 2007 WHO classification of central nervous system tumors, using the International Classification of Diseases for Oncology, 3rd edition codes. The incidence rate (IR) was calculated for all PBTs and by gender, histology, age-groups, and behavior. Trend analysis was performed using a piecewise log-linear model. <b><i>Results:</i></b> A total of 3,819 cases were identified with a female/male ratio of 1.45. The IR for all PBTs was 25.3/100,000 person-years (95% confidence interval 24.5–26.1). Most PBTs were nonmalignant (59.5%, IR = 15.0) with a female predominance. Conversely, malignant tumors (32.4%, IR = 8.2) were more common among men, with a female/male ratio of 0.9. The most frequently reported histology was meningioma (39.0%, IR = 9.8), followed by glioblastoma (11.6%, IR = 2.9). A peak of incidence was found in the 75–84 years age-group, with an IR of 77.6/100,000 person-years. Overall, no increase in incidence was observed along the study period. <b><i>Conclusions:</i></b> The IR of PBTs in the province of Catania is close to incidence reported worldwide. Further studies on risk factors are necessary.
DOI: 10.6084/m9.figshare.17040191.v1
title: Supplementary Material for: Epidemiology of Primary Brain Tumors in the Province of Catania during the 2003–2016 Period

description: <b><i>Introduction:</i></b> Primary brain tumors (PBTs) account for approximately 2% of all cancers and are associated with significant morbidity and mortality. However, only few epidemiological studies focus on PBTs in Italy. The aim of this study was to evaluate incidence, temporal trend, and survival rate of all PBTs in the province of Catania during the study period. <b><i>Methods:</i></b> All patients diagnosed with PBTs in the province of Catania during the 2003-2016 were identified through the local cancer registry. All cases were classified by histology according to 2007 WHO classification of central nervous system tumors, using the International Classification of Diseases for Oncology, 3rd edition codes. The incidence rate (IR) was calculated for all PBTs and by gender, histology, age-groups, and behavior. Trend analysis was performed using a piecewise log-linear model. <b><i>Results:</i></b> A total of 3,819 cases were identified with a female/male ratio of 1.45. The IR for all PBTs was 25.3/100,000 person-years (95% confidence interval 24.5–26.1). Most PBTs were nonmalignant (59.5%, IR = 15.0) with a female predominance. Conversely, malignant tumors (32.4%, IR = 8.2) were more common among men, with a female/male ratio of 0.9. The most frequently reported histology was meningioma (39.0%, IR = 9.8), followed by glioblastoma (11.6%, IR = 2.9). A peak of incidence was found in the 75–84 years age-group, with an IR of 77.6/100,000 person-years. Overall, no increase in incidence was observed along the study period. <b><i>Conclusions:</i></b> The IR of PBTs in the province of Catania is close to incidence reported worldwide. Further studies on risk factors are necessary.
DOI: 10.6084/m9.figshare.14914911
title: Raw outputs of P depletion

description: Results of depletion factor calcuations. Presented here are the depletion factors from each infdividual tephra analysis, from each of the volcanic provinces.<br>Used in Figure 3 of "Late Ordovician climate change and extinctions driven by elevated volcanic nutrient supply" by Longman et al., Nat. Geosci. (2021) <br>
DOI: 10.5281/zenodo.5709749
title: Fault geometry of the 2016 Mw 7.8 Kaikoura earthquake, New Zealand

description: Citation: Xu, W., Feng, G., Meng, L., Zhang, A., Ampuero, J. P., Bürgmann, R., & Fang, L. (2018). Transpressional rupture cascade of the 2016 Mw 7.8 Kaikoura earthquake, New Zealand. Journal of Geophysical Research: Solid Earth, 123, 2396–2409. https://doi.org/10.1002/2017JB015168