cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4529480
title: Data set from Marrocco-Trischitta MM, Vitale R, Nava G, Baroni I, Boveri S, Nano G, Secchi F. Poor concordance between definitions of type III arch and implications for risk prediction and assessment for carotid artery stenting. J Vasc Surg. 2020 Sep 25:S0741-5214(20)32122-4. doi: 10.1016/j.jvs.2020.08.142. Epub ahead of print. PMID: 32987147.

description: Data set from the article Marrocco-Trischitta MM, Vitale R, Nava G, Baroni I, Boveri S, Nano G, Secchi F. Poor concordance between definitions of type III arch and implications for risk prediction and assessment for carotid artery stenting. J Vasc Surg. 2020 Sep 25:S0741-5214(20)32122-4. doi: 10.1016/j.jvs.2020.08.142. Epub ahead of print. PMID: 32987147. <strong>Abstract</strong> <strong>Objective: </strong>The type III arch configuration has been inconsistently reported as a stroke risk factor during carotid artery stenting. However, at least three different methods for the definition of type III arch can be identified in the literature, related to the level of the origin of the innominate artery (IA). According to Casserly's definition, a type III arch presents with an origin of the IA below the horizontal plane of the inner curvature. According to Madhwal's definition, a type III arch has a distance greater than twice the diameter of the left common carotid artery between the highest point of the arch and the origin of the IA. According to MacDonald's definition, a type III arch presents with a distance of ≥2 cm between the highest point of the arch and the origin of the IA. Our aim was to assess the level of concordance between these different methods. <strong>Methods: </strong>Anonymized thoracic computed tomography scans of 100 healthy patients were reviewed. Two of us independently stratified the selected cases as a type I to III arch, according to the three considered definitions. The interobserver level of concordance for each type III arch classification and level of concordance among the three definitions were assessed. <strong>Results: </strong>The 100 selected patients (64% male) were 76 ± 7 years old. For each definition, the interobserver repeatability was almost perfect for all three (Madhwal, κ = 0.81; 95% confidence interval [CI], 0.71-0.99; MacDonald, κ = 0.82; 95% CI, 0.72-0.92; Casserly, κ = 0.84; 95% CI, 0.74-0.93). The level of concordance among the different definitions was very low (Madhwal vs MacDonald, 85% [P = .002]; 33% for type III arch; Madhwal vs Casserly, 60% [P &lt; .0001]; 12% for type III arch; MacDonald vs Casserly, 75% [P &lt; .0001]; 12% for type III arch). <strong>Conclusions: </strong>The three definitions of the type III arch have a very low level of concordance, which might account for the varying clinical relevance of this configuration. Our findings have relevant implications for risk prediction for carotid artery stenting based on the presence of a type III arch, for comparisons of the results from different studies, and for comparisons of different datasets from multicenter trials.
DOI: 10.6084/m9.figshare.13853387.v1
title: Original data of Ips hauseri

description: Original data of Ips hauseri<br>
DOI: 10.5281/zenodo.4529562
title: test data

description: Sample data for publication
DOI: 10.5281/zenodo.4529561
title: test data

description: Sample data for publication
DOI: 10.6084/m9.figshare.13853576
title: Supplementary Material for: Identification of Influential Variants in Significant Aggregate Rare Variant Tests

description: <b><i>Introduction:</i></b> Studies that examine the role of rare variants in both simple and complex disease are increasingly common. Though the usual approach of testing rare variants in aggregate sets is more powerful than testing individual variants, it is of interest to identify the variants that are plausible drivers of the association. We present a novel method for prioritization of rare variants after a significant aggregate test by quantifying the influence of the variant on the aggregate test of association. <b><i>Methods:</i></b> In addition to providing a measure used to rank variants, we use outlier detection methods to present the computationally efficient Rare Variant Influential Filtering Tool (RIFT) to identify a subset of variants that influence the disease association. We evaluated several outlier detection methods that vary based on the underlying variance measure: interquartile range (Tukey fences), median absolute deviation, and SD. We performed 1,000 simulations for 50 regions of size 3 kb and compared the true and false positive rates. We compared RIFT using the Inner Tukey to 2 existing methods: adaptive combination of <i>p</i> values (ADA) and a Bayesian hierarchical model (BeviMed). Finally, we applied this method to data from our targeted resequencing study in idiopathic pulmonary fibrosis (IPF). <b><i>Results:</i></b> All outlier detection methods observed higher sensitivity to detect uncommon variants (0.001 &lt; minor allele frequency, MAF &gt; 0.03) compared to very rare variants (MAF &lt;0.001). For uncommon variants, RIFT had a lower median false positive rate compared to the ADA. ADA and RIFT had significantly higher true positive rates than that observed for BeviMed. When applied to 2 regions found previously associated with IPF including 100 rare variants, we identified 6 polymorphisms with the greatest evidence for influencing the association with IPF. <b><i>Discussion:</i></b> In summary, RIFT has a high true positive rate while maintaining a low false positive rate for identifying polymorphisms influencing rare variant association tests. This work provides an approach to obtain greater resolution of the rare variant signals within significant aggregate sets; this information can provide an objective measure to prioritize variants for follow-up experimental studies and insight into the biological pathways involved.
DOI: 10.5519/qd.ig0ykkvx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (365836 records)
DOI: 10.6084/m9.figshare.13710109
title: Original data of Ips hauseri

description: Raw data of monoterpenoid signals production of Ips hauseri<br>
DOI: 10.6084/m9.figshare.13614452.v1
title: Accelerated extraction of North Atlantic cod and herring, 1520-1790

description: We estimate total landings of two major commercial fish species, North Atlantic cod and Northeast Atlantic herring, c 1520-1790. The fisheries evolved through two phases of Accelerated Marine Extraction in the sixteenth and eighteenth centuries. Total landings more than doubled between 1520 and 1620 from about 220,000 metric tonnes to 460,000 MT. A decline of landings in the second half of the 17th century was likely linked to widespread warfare and climate deterioration. Rapid and sustained growth began again around 1725, and total supplies to the European market peaked in 1788 at more than 1 million MT before the unrest connected with the French Revolution ground many fisheries to a temporary halt. Extractions vastly exceeded previous assessments. The findings shift baseline assumptions about past human impact on marine animals, especially cod.<br><br>
DOI: 10.25345/c5kn4v
title: MassIVE MSV000086832 - GNPS - Dataset Creation from GNPS Molcular Networking - 6cbf955e47874a2c963caf0ab0331d32
title: Gut samples from Rhodnius prolixus fed blood either uninfected or infected with Trypanosoma cruzi.
DOI: 10.25550/1-ybwe
title: micro CT of Tfap2a;Tfap2b;Crect mutant and control mice

description: Tiff stacks from micro CT scans of mutant (Tfap2a fl/fl; Tfap2b fl/fl; Crect) and control (Tfap2a fl/wt; Tfap2b fl/wt; Crect) mouse heads at E18.5.
DOI: 10.25550/1-ybxr
title: micro CT of Tfap2a;Tfap2b;Wnt1-Cre mutant and control mice

description: Tiff stack from micro CT scans of mutant (Tfap2a fl/fl; Tfap2b fl/fl; Wnt1-Cre) and control (Tfap2a fl/wt; Tfap2b fl/wt; Wnt1-Cre) mouse heads at E18.5.
DOI: 10.21957/w4wq-sd03
title: The CO2 Human Emissions (CHE) global nature run
DOI: 10.5281/zenodo.4290131
title: Ultrafast hole spin qubit with gate-tunable spin-orbit switch functionality

description: Supporting data for "Ultrafast hole spin qubit with gate-tunable spin-orbit switch functionality"<br> Florian N. M. Froning, Leon C. Camenzind, Orson A. H. van der Molen, Ang Li, Erik P. A. M. Bakkers, Dominik M. Zumbühl, and Floris R. Braakman Nature Nanotechnology (2021) DOI:10.1038/s41565-020-00828-6
DOI: 10.5281/zenodo.4290130
title: Ultrafast hole spin qubit with gate-tunable spin-orbit switch functionality

description: Supporting data for "Ultrafast hole spin qubit with gate-tunable spin-orbit switch functionality"<br> Florian N. M. Froning, Leon C. Camenzind, Orson A. H. van der Molen, Ang Li, Erik P. A. M. Bakkers, Dominik M. Zumbühl, and Floris R. Braakman Nature Nanotechnology (2021) DOI:10.1038/s41565-020-00828-6
DOI: 10.6084/m9.figshare.13710109.v6
title: Original data of Ips hauseri

description: Raw data of monoterpenoid signals production of Ips hauseri<br>
DOI: 10.6084/m9.figshare.13710109.v5
title: Original data of Ips hauseri

description: Raw data of monoterpenoid signals production of Ips hauseri<br>
DOI: 10.6084/m9.figshare.13854830.v1
title: DATASET.sav

description: The dataset includes demographic variables and main variables in the study at two time points: including lockdown experience, attention to the COVID-19, public trust in physicians and social support. All variables are labelled int the dataset [<i>see in Dataset.sav</i>].
DOI: 10.6084/m9.figshare.13854830
title: DATASET.sav

description: The dataset includes demographic variables and main variables in the study at two time points: including lockdown experience, attention to the COVID-19, public trust in physicians and social support. All variables are labelled int the dataset [<i>see in Dataset.sav</i>].
DOI: 10.17037/data.00002095
title: Dataset for: Using the Mothers Object Relations Scale for early childhood development research in rural India

description: An anonymised dataset and support files associated with the SPRING-ELS substudy of the SPRING cluster randomised controlled trial. The dataset contains information collected from 1,273 children who were enrolled in the substudy. These children were assessed using the Mother’s Object Relations Scale and the HOME Inventory (Infant/Toddler edition) at 12 months of age, and again at 18-months using the Bayley Scales of Infant Development – III. The dataset contains an anonymised participant ID number, cluster codes, trial arm allocation, and the scores for each child.
DOI: 10.6084/m9.figshare.13851413
title: Data test

description: GEOS-Chem model output is uploaded. Links for publicly accessible datasets are provided.
DOI: 10.6084/m9.figshare.13851413.v1
title: Data test

description: GEOS-Chem model output is uploaded. Links for publicly accessible datasets are provided.
DOI: 10.5517/ccdc.csd.cc21h3sg
title: CCDC 1891365: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, S. K. Saddam Hossain, Sailaja S. Sunkari, Joseph Reibenspies, Satyen Saha|2021|New J.Chem.|45|2696|doi:10.1039/D0NJ04020G
description: Related Article: Abhineet Verma, Sk Saddam Hossain, Sailaja Sunkari, Joseph Reibenspies, Satyen Saha|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2281l0
title: CCDC 1914361: Experimental Crystal Structure Determination

description: Related Article: Anuradha Nandy, Imran Kazi, Somraj Guha, Govindasamy Sekar|2021|J.Org.Chem.|86|2570|doi:10.1021/acs.joc.0c02672
DOI: 10.5517/ccdc.csd.cc23dfb9
title: CCDC 1948360: Experimental Crystal Structure Determination

description: Related Article: Yuejuan Wan, Jian Deng, Cheng Gu, Yuguang Ma|2021|J.Mater.Chem.A|9|2120|doi:10.1039/D0TA11902D
DOI: 10.5517/ccdc.csd.cc24bdmj
title: CCDC 1976207: Experimental Crystal Structure Determination

description: Related Article: Chun-Fang Liu, Zhi-Qi Cao, Shao-Lei Ding, Jing Zhu, Peiming Gu|2021|Org.Lett.|23|1147|doi:10.1021/acs.orglett.1c00200
DOI: 10.5517/ccdc.csd.cc24bdnk
title: CCDC 1976208: Experimental Crystal Structure Determination

description: Related Article: Chun-Fang Liu, Zhi-Qi Cao, Shao-Lei Ding, Jing Zhu, Peiming Gu|2021|Org.Lett.|23|1147|doi:10.1021/acs.orglett.1c00200
DOI: 10.5517/ccdc.csd.cc24l5wt
title: CCDC 1983686: Experimental Crystal Structure Determination

description: Related Article: Ryan J. Day, Anthony J. Gross, Elizabeth S. Donovan, Kyle D. Fillo, Gary S. Nichol, Greg A.N. Felton|2021|Polyhedron|197|115043|doi:10.1016/j.poly.2021.115043
DOI: 10.5517/ccdc.csd.cc24l5xv
title: CCDC 1983687: Experimental Crystal Structure Determination

description: Related Article: Ryan J. Day, Anthony J. Gross, Elizabeth S. Donovan, Kyle D. Fillo, Gary S. Nichol, Greg A.N. Felton|2021|Polyhedron|197|115043|doi:10.1016/j.poly.2021.115043
DOI: 10.5517/ccdc.csd.cc241xw0
title: CCDC 1968062: Experimental Crystal Structure Determination

description: Related Article: Tonmoy Chakraborty, Somali Mukherjee, Rumana Parveen, Arpita Chandra, Debabrata Samanta, Debasis Das|2021|New J.Chem.|45|2550|doi:10.1039/D0NJ05635A
DOI: 10.5517/ccdc.csd.cc241xx1
title: CCDC 1968063: Experimental Crystal Structure Determination

description: Related Article: Tonmoy Chakraborty, Somali Mukherjee, Rumana Parveen, Arpita Chandra, Debabrata Samanta, Debasis Das|2021|New J.Chem.|45|2550|doi:10.1039/D0NJ05635A
DOI: 10.5517/ccdc.csd.cc2536n5
title: CCDC 1999086: Experimental Crystal Structure Determination

description: Related Article: Ruven L. Davidovich, Valery Ya. Kavun, Anatoly A. Udovenko, Mikhail M. Polyantsev, Evgeny B. Merkulov, Vera B. Logvinova, Andrey V. Gerasimenko|2021|J.Fluorine Chem.|243|109721|doi:10.1016/j.jfluchem.2020.109721
DOI: 10.5517/ccdc.csd.cc2536p6
title: CCDC 1999087: Experimental Crystal Structure Determination

description: Related Article: Ruven L. Davidovich, Valery Ya. Kavun, Anatoly A. Udovenko, Mikhail M. Polyantsev, Evgeny B. Merkulov, Vera B. Logvinova, Andrey V. Gerasimenko|2021|J.Fluorine Chem.|243|109721|doi:10.1016/j.jfluchem.2020.109721
DOI: 10.5517/ccdc.csd.cc25glv3
title: CCDC 2010035: Experimental Crystal Structure Determination

description: Related Article: Zhi Tang, Zhiqing Wang, Zhihong Peng, Qinghua Yang, Shuang-Feng Yin, Renhua Qiu|2021|J.Org.Chem.|86|2965|doi:10.1021/acs.joc.0c02846
DOI: 10.5517/ccdc.csd.cc25htwd
title: CCDC 2011214: Experimental Crystal Structure Determination

description: Related Article: Hui Chen, Hanjian Lai, Ziyi Chen, Yulin Zhu, Huan Wang, Liang Han, Yuanzhu Zhang, Feng He|2021|Angew.Chem.,Int.Ed.|60|3238|doi:10.1002/anie.202013053
DOI: 10.5517/ccdc.csd.cc25k8vw
title: CCDC 2012608: Experimental Crystal Structure Determination

description: Related Article: Yuanyuan Wang, Zhonglin Wei, Jungang Cao, Dapeng Liang, Yingjie Lin, Haifeng Duan|2021|New J.Chem.|45|2609|doi:10.1039/D0NJ06092E
DOI: 10.5517/ccdc.csd.cc25ntnb
title: CCDC 2016012: Experimental Crystal Structure Determination

description: Related Article: Sean W. Connolly, Rahul Tiwari, Simon J. Holder, Helena J. Shepherd|2021|Phys.Chem.Chem.Phys.(PCCP)|23|2775|doi:10.1039/D0CP06312F
DOI: 10.5517/ccdc.csd.cc25ntpc
title: CCDC 2016013: Experimental Crystal Structure Determination

description: Related Article: Sean W. Connolly, Rahul Tiwari, Simon J. Holder, Helena J. Shepherd|2021|Phys.Chem.Chem.Phys.(PCCP)|23|2775|doi:10.1039/D0CP06312F
DOI: 10.5517/ccdc.csd.cc25ntqd
title: CCDC 2016014: Experimental Crystal Structure Determination

description: Related Article: Sean W. Connolly, Rahul Tiwari, Simon J. Holder, Helena J. Shepherd|2021|Phys.Chem.Chem.Phys.(PCCP)|23|2775|doi:10.1039/D0CP06312F
DOI: 10.5517/ccdc.csd.cc25ntrf
title: CCDC 2016015: Experimental Crystal Structure Determination

description: Related Article: Sean W. Connolly, Rahul Tiwari, Simon J. Holder, Helena J. Shepherd|2021|Phys.Chem.Chem.Phys.(PCCP)|23|2775|doi:10.1039/D0CP06312F
DOI: 10.5517/ccdc.csd.cc25s347
title: CCDC 2019158: Experimental Crystal Structure Determination

description: Related Article: Wei-Feng Zhang, Yan Du, Xing-Yu Sun, Hong-Mei Pan, Yue-Yu Ma, Dong-Yang Li, Shuang Wu, Tingjiang Yan, Zhi-Hong Jing|2021|Inorg.Chem.Commun.|126|108469|doi:10.1016/j.inoche.2021.108469
DOI: 10.5517/ccdc.csd.cc201t63
title: CCDC 1848784: Experimental Crystal Structure Determination

description: Related Article: Sarra Chortani, Mohamed Othman, Ata Martin Lawson, Anis Romdhane, Hichem Ben Jannet, Michael Knorr, Lukas Brieger, Carsten Strohmann, Adam Daïch|2021|New J.Chem.|45|2393|doi:10.1039/D0NJ04052E
DOI: 10.5517/ccdc.csd.cc25w4lt
title: CCDC 2022086: Experimental Crystal Structure Determination

description: Related Article: Sarra Chortani, Mohamed Othman, Ata Martin Lawson, Anis Romdhane, Hichem Ben Jannet, Michael Knorr, Lukas Brieger, Carsten Strohmann, Adam Daïch|2021|New J.Chem.|45|2393|doi:10.1039/D0NJ04052E
DOI: 10.5517/ccdc.csd.cc267880
title: CCDC 2032771: Experimental Crystal Structure Determination

description: Related Article: David J. Siegel, Grace I. Anderson, Noah Cyr, Daniel S. Lambrecht, Matthias Zeller, Patrick C. Hillesheim, Arsalan Mirjafari|2021|New J.Chem.|45|2443|doi:10.1039/D0NJ05603K
DOI: 10.5517/ccdc.csd.cc267891
title: CCDC 2032772: Experimental Crystal Structure Determination

description: Related Article: David J. Siegel, Grace I. Anderson, Noah Cyr, Daniel S. Lambrecht, Matthias Zeller, Patrick C. Hillesheim, Arsalan Mirjafari|2021|New J.Chem.|45|2443|doi:10.1039/D0NJ05603K
DOI: 10.5517/ccdc.csd.cc2678b2
title: CCDC 2032773: Experimental Crystal Structure Determination

description: Related Article: David J. Siegel, Grace I. Anderson, Noah Cyr, Daniel S. Lambrecht, Matthias Zeller, Patrick C. Hillesheim, Arsalan Mirjafari|2021|New J.Chem.|45|2443|doi:10.1039/D0NJ05603K
DOI: 10.5517/ccdc.csd.cc2678c3
title: CCDC 2032774: Experimental Crystal Structure Determination

description: Related Article: David J. Siegel, Grace I. Anderson, Noah Cyr, Daniel S. Lambrecht, Matthias Zeller, Patrick C. Hillesheim, Arsalan Mirjafari|2021|New J.Chem.|45|2443|doi:10.1039/D0NJ05603K
DOI: 10.5517/ccdc.csd.cc26bbfb
title: CCDC 2035721: Experimental Crystal Structure Determination

description: Related Article: Omina Shomirzoeva, Meng-Yang Xu, Zhe-Jun Sun, Chanjuan Li, Abubakr Nasriddinov, Zayniddin Muhidinov, Kun Zhang, Qiong Gu, Jun Xu|2021|Fitoterapia|149|104829|doi:10.1016/j.fitote.2021.104829
DOI: 10.5517/ccdc.csd.cc23pg2c
title: CCDC 1957032: Experimental Crystal Structure Determination

description: Related Article: Suvojit Roy, Provakar Paul, Monaj Karar, Mayank Joshi, Suvendu Paul, Angshuman Roy Choudhury, Bhaskar Biswas|2021|J.Mol.Liq.|326|115293|doi:10.1016/j.molliq.2021.115293
DOI: 10.5517/ccdc.csd.cc26hc36
title: CCDC 2040547: Experimental Crystal Structure Determination

description: Related Article: Suvojit Roy, Provakar Paul, Monaj Karar, Mayank Joshi, Suvendu Paul, Angshuman Roy Choudhury, Bhaskar Biswas|2021|J.Mol.Liq.|326|115293|doi:10.1016/j.molliq.2021.115293
DOI: 10.5517/ccdc.csd.cc26p1fd
title: CCDC 2046013: Experimental Crystal Structure Determination

description: Related Article: Yohei Kashiwame, Takao Ikariya, Shigeki Kuwata|2021|Polyhedron|197|115036|doi:10.1016/j.poly.2021.115036
DOI: 10.5517/ccdc.csd.cc26p1gf
title: CCDC 2046014: Experimental Crystal Structure Determination

description: Related Article: Yohei Kashiwame, Takao Ikariya, Shigeki Kuwata|2021|Polyhedron|197|115036|doi:10.1016/j.poly.2021.115036
DOI: 10.5517/ccdc.csd.cc26p1jh
title: CCDC 2046016: Experimental Crystal Structure Determination

description: Related Article: Yohei Kashiwame, Takao Ikariya, Shigeki Kuwata|2021|Polyhedron|197|115036|doi:10.1016/j.poly.2021.115036
DOI: 10.5517/ccdc.csd.cc26p1kj
title: CCDC 2046017: Experimental Crystal Structure Determination

description: Related Article: Yohei Kashiwame, Takao Ikariya, Shigeki Kuwata|2021|Polyhedron|197|115036|doi:10.1016/j.poly.2021.115036
DOI: 10.5517/ccdc.csd.cc26jkr2
title: CCDC 2041714: Experimental Crystal Structure Determination

description: Related Article: Chunyang Zhang, Mengyao Liu, Xingwei Cai, Lei Chen, Yuan-Zhong Liu, Huihui Cui, Shao-Liang Zhang, Aihua Yuan|2021|New J.Chem.|45|2404|doi:10.1039/D0NJ05398H
DOI: 10.5517/ccdc.csd.cc26xp1w
title: CCDC 2053348: Experimental Crystal Structure Determination

description: Related Article: Yi Liu, Shiguo Han, Jiaqi Wang, Yu Ma, Wuqian Guo, Xiao-Ying Huang, Jun-Hua Luo, Maochun Hong, Zhihua Sun|2021|J.Am.Chem.Soc.|143|2130|doi:10.1021/jacs.0c12513
DOI: 10.5517/ccdc.csd.cc26xp2x
title: CCDC 2053349: Experimental Crystal Structure Determination

description: Related Article: Yi Liu, Shiguo Han, Jiaqi Wang, Yu Ma, Wuqian Guo, Xiao-Ying Huang, Jun-Hua Luo, Maochun Hong, Zhihua Sun|2021|J.Am.Chem.Soc.|143|2130|doi:10.1021/jacs.0c12513
DOI: 10.5517/ccdc.csd.cc26xp3y
title: CCDC 2053350: Experimental Crystal Structure Determination

description: Related Article: Yi Liu, Shiguo Han, Jiaqi Wang, Yu Ma, Wuqian Guo, Xiao-Ying Huang, Jun-Hua Luo, Maochun Hong, Zhihua Sun|2021|J.Am.Chem.Soc.|143|2130|doi:10.1021/jacs.0c12513
DOI: 10.5517/ccdc.csd.cc26y66l
title: CCDC 2053849: Experimental Crystal Structure Determination

description: Related Article: Spencer P. Pitre, Tyler K. Allred, Larry E. Overman|2021|Org.Lett.|23|1103|doi:10.1021/acs.orglett.1c00023
DOI: 10.6084/m9.figshare.7228994
title: Ethanol/water extracts from halophyte species <i>Arthrocnemum macrostachyum</i> and <i>Tetraena qatarensis</i>

description: Microwave-assisted extraction using various concentrations of ethanol in water (25%, 50%, 75% v/v) was carried out using biomass from halophytes; <i>Arthrocnemum macrostachyum</i> and <i>Tetraena qatarensis</i>. Total phenolic content (TPC; expressed as mg Gallic acid equivalent; GAE) and antioxidant activity using half-maximal inhibitory concentration of DPPH-free radical (IC<sub>50;</sub> expressed as µg/mL) was highest in extracts from 75% ethanol in both plant species; TPC = 45.6 ± 1.0 and 54.4 ± 0.8 mg GAE/g extract; IC50 = 62.7 ± 0.4 and 67.9 ± 4.8 µg/mL for <i>A. macrostachyum</i> and <i>T. qatarensis</i>, respectively. UV-VIS spectral analysis and metabolome profile analysis obtained using UHPLC-Q-ToF-MS suggest the 50% and 75% ethanol extracts are similar in <i>A. macrostachyum</i>, whereas the 25% and 50% ethanol extracts are similar in <i>T. qatarensis</i>. Increasing the concentration of ethanol results in phytoextracts with greater chemical complexity.
DOI: 10.6084/m9.figshare.7228994.v1
title: Ethanol/water extracts from halophyte species <i>Arthrocnemum macrostachyum</i> and <i>Tetraena qatarensis</i>

description: Microwave-assisted extraction using various concentrations of ethanol in water (25%, 50%, 75% v/v) was carried out using biomass from halophytes; <i>Arthrocnemum macrostachyum</i> and <i>Tetraena qatarensis</i>. Total phenolic content (TPC; expressed as mg Gallic acid equivalent; GAE) and antioxidant activity using half-maximal inhibitory concentration of DPPH-free radical (IC<sub>50;</sub> expressed as µg/mL) was highest in extracts from 75% ethanol in both plant species; TPC = 45.6 ± 1.0 and 54.4 ± 0.8 mg GAE/g extract; IC50 = 62.7 ± 0.4 and 67.9 ± 4.8 µg/mL for <i>A. macrostachyum</i> and <i>T. qatarensis</i>, respectively. UV-VIS spectral analysis and metabolome profile analysis obtained using UHPLC-Q-ToF-MS suggest the 50% and 75% ethanol extracts are similar in <i>A. macrostachyum</i>, whereas the 25% and 50% ethanol extracts are similar in <i>T. qatarensis</i>. Increasing the concentration of ethanol results in phytoextracts with greater chemical complexity.