cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8dds3drfth.1
title: Finite element models of self-centering friction frames

description: Finite element models of 4-, 6-, 8-, and 10-story self-centering friction frames and ordinary RC frames are developed using software MSC.Marc.
DOI: 10.25582/data.2023-01.2722287/2284721
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721739/2284722
title: Data for EMSL Project 60066 from January 2023
DOI: 10.17632/nmkgkbb294.1
title: Supplementary Figure S1

description: Four goodness-of-fit plots of the overall TI distribution are presented. In the top left plot, a density function of the fitted distribution and a histogram of the empirical distribution are shown. The top right plot displays a Q-Q plot of the empirical and theoretical quantiles. The bottom left plot illustrates a Cumulative Distribution Function (CDF) of the empirical and the fitted distribution. Finally, the bottom right plot shows the empirical distribution function evaluated at each data point against the fitted distribution function.
DOI: 10.25582/data.2023-01.2722151/2284723
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722000/2284724
title: Data for EMSL Project 60066 from January 2023
DOI: 10.17632/kyrh4mzyv2.1
title: FLYING IN THE AIR Written by Sunil Gangopadhyay and Translated by Dr. Md Siddique Hossain

description: FLYING IN THE AIR
- Sunil Gangopadhyay

Translated by
Dr. Md Siddique Hossain
M.A.(Bengali & in Education), B.Ed., M.Ed., M.Phill., Ph.D.(Bengali & in Education), D.Litt.
Assistant Professor, Department of Bengali, Bangabasi Morning College
17, Rajkumar Chakraborty Sarani, Kolkata- 700009, West Bengal, India
ORCID ID: https://orcid.org/0009-0008-3912-7101
Email: mdsh803@gmail.com


That moment when your feet are pricked by a thorn 
If you fall down to the sound of unbearable
That moment, woman, you became art
In so many pictures, sculptures, advertisements you are forever
Your that moment of pain, fear and helplessness
No one will even remember the words
Wow, you don't have to pay anything to be an art?
You want it or not, that pose of yours Art will not leave.
Men's legs do not become art
Though men go more in the forest
Women's pride is filled with global industry
Men should not have pride
Funny facts these are so me Men are the gems
It is men who hurt women in many pains
They keep you under their feet, again, place you on their head
In the name of Goddess...
Am I writing a feminist poem?
The wind is blowing two pairs of teary eyes
A fringe Wind blowing like a kneeling lion
The helpless bellowing
Failed love is flying in the air, anxiety of miracles
Misunderstandings are flying in the air, women and men
Someday at the right time, right place
The dissatisfaction of not meeting face to face...
*****
DOI: 10.25582/data.2023-01.2722758/2284725
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722225/2284726
title: Data for EMSL Project 60066 from January 2023
DOI: 10.17632/24d85h2kgk.1
title: Supplementary Table S1

description: Distribution of the estimates of treatment incidences (TI) in defined daily doses (DDD) per cow-year (mean, standard deviation [SD]) for each administration route and antimicrobial class of cows treated with these specific routes and classes on and all analyzed farms (n=221) within a 1-year period from 2020-2022
DOI: 10.17632/8gtdbch59z.2
title: Catalog of Thunderstorm Ground Enhancements (TGEs) observed at Aragats  in 2013- 2021

description: We present the catalog of thunderstorm ground enhancements (TGEs) collected by multiyear 24/7 monitoring of various particle fluxes, environmental parameters, and near-surface electric fields on the slopes of Mt. Aragats in Armenia. Previously, we publish in Mendeley the subsets of TGE events abruptly interrupted by lightning discharges [1], short particle bursts observed by Aragats neutron monitor (ArNM, [2]), TGEs with electron content [3], TGEs abruptly terminated by a lightning flash, distance to which was observed by both EFM-100 sensor on Aragats, and - worldwide lightning location network (WWLLN) network [4], and TGEs accompanied with light radiation in the lower atmosphere [5]. In the posted dataset are shown 10 parameters of 288 TGEs observed in 2013-2021 (the total number of TGEs from 2008 to 2021 is 564). However, from the links to each TGE event, all multivariate measurements from the hundreds of registration channels are available. We present our measurements on a user-friendly site allowing further correlation analysis by colleagues worldwide. The users are provided with multivariate data to continue the research and come to new interesting physical results. The survey of TGE physics and TGE selection procedure users can find in [6], the details of Aragats station facilities, and data analysis methods in the WiKI section of ADEI and in references [7-9].
References 
1.	Soghomonyan, Suren; Chilingarian, Ashot, Khanikyants, Yeghia 2021,
Mendeley Data, V1, doi:10.17632/p25bb7jrfp.1 https://data.mendeley.com/datasets/p25bb7jrfp/1 
2.	Soghomonyan, Suren; Chilingarian, Ashot; Pokhsraryan, David 2021, Mendeley Data, V1, doi: 10.17632/43ndcktj3z.1 
3.	Chilingarian, Ashot; Hovsepyan, Gagik 2021, Mendeley Data, V3, doi: 10.17632/tvbn6wdf85.3 
4.	Soghomonyan, Suren; Chilingarian, Ashot 2021, Mendeley Data, V1, doi: 10.17632/ygvjzdx3w3.1
5.	Chilingarian, Ashot; Hovsepyan, Gagik; Sargsyan, Balabek 2022, Mendeley Data, V1, doi: 10.17632/8ygy98r99d.1
6.	A.Chilingarian, G. Hovsepyan, D. Aslanyan, et al. 2022, PRD 106, 082004 (2022).
7.	A. Chilingarian, G. Hovsepyan, T.Karapetyan, et al. 2022, JINST, 17 P03002.
8.	A. Chilingarian, G. Hovsepyan, T. Karapetyan et al. 2022 JINST 17 P07022.
9.	A.Chilingarian, G. Hovsepyan, T.Karapetyan, et al. 2022, JINST 17 P10011.
DOI: 10.17632/8gtdbch59z.3
title: Catalog of Thunderstorm Ground Enhancements (TGEs) observed at Aragats in 2013- 2021

description: We present the catalog of thunderstorm ground enhancements (TGEs) collected by multiyear 24/7 monitoring of various particle fluxes, environmental parameters, and near-surface electric fields on the slopes of Mt. Aragats in Armenia. Previously, we publish in Mendeley the subsets of TGE events abruptly interrupted by lightning discharges [1], short particle bursts observed by Aragats neutron monitor (ArNM, [2]), TGEs with electron content [3], TGEs abruptly terminated by a lightning flash, distance to which was observed by both EFM-100 sensor on Aragats, and - worldwide lightning location network (WWLLN) network [4], and TGEs accompanied with light radiation in the lower atmosphere [5]. In the posted dataset are shown 10 parameters of 288 TGEs observed in 2013-2021 (the total number of TGEs from 2008 to 2021 is 564). However, from the links to each TGE event, all multivariate measurements from the hundreds of registration channels are available. We present our measurements on a user-friendly site allowing further correlation analysis by colleagues worldwide. The users are provided with multivariate data to continue the research and come to new interesting physical results. The survey of TGE physics and TGE selection procedure users can find in [6], the details of Aragats station facilities, and data analysis methods in the WiKI section of ADEI and in references [7-9].
References 
1. Soghomonyan, Suren; Chilingarian, Ashot, Khanikyants, Yeghia 2021,
Mendeley Data, V1, doi:10.17632/p25bb7jrfp.1 https://data.mendeley.com/datasets/p25bb7jrfp/1 
2. Soghomonyan, Suren; Chilingarian, Ashot; Pokhsraryan, David 2021, Mendeley Data, V1, doi: 10.17632/43ndcktj3z.1 
3. Chilingarian, Ashot; Hovsepyan, Gagik 2021, Mendeley Data, V3, doi: 10.17632/tvbn6wdf85.3 
4. Soghomonyan, Suren; Chilingarian, Ashot 2021, Mendeley Data, V1, doi: 10.17632/ygvjzdx3w3.1
5. Chilingarian, Ashot; Hovsepyan, Gagik; Sargsyan, Balabek 2022, Mendeley Data, V1, doi: 10.17632/8ygy98r99d.1
6. A.Chilingarian, G. Hovsepyan, D. Aslanyan, et al. 2022, PRD 106, 082004 (2022).
7. A. Chilingarian, G. Hovsepyan, T.Karapetyan, et al. 2022, JINST, 17 P03002.
8. A. Chilingarian, G. Hovsepyan, T. Karapetyan et al. 2022 JINST 17 P07022.
9. A.Chilingarian, G. Hovsepyan, T.Karapetyan, et al. 2022, JINST 17 P10011.
DOI: 10.17632/8gtdbch59z.4
title: Catalog of Thunderstorm Ground Enhancements (TGEs) observed at Aragats in 2013- 2021

description: We present the catalog of thunderstorm ground enhancements (TGEs) collected by multiyear 24/7 monitoring of various particle fluxes, environmental parameters, and near-surface electric fields on the slopes of Mt. Aragats in Armenia. Previously, we publish in Mendeley the subsets of TGE events abruptly interrupted by lightning discharges [1], short particle bursts observed by Aragats neutron monitor (ArNM, [2]), TGEs with electron content [3], TGEs abruptly terminated by a lightning flash, distance to which was observed by both EFM-100 sensor on Aragats, and - worldwide lightning location network (WWLLN) network [4], and TGEs accompanied with light radiation in the lower atmosphere [5]. In the posted dataset are shown 10 parameters of 288 TGEs observed in 2013-2021 (the total number of TGEs from 2008 to 2021 is 564). However, from the links to each TGE event, all multivariate measurements from the hundreds of registration channels are available. We present our measurements on a user-friendly site allowing further correlation analysis by colleagues worldwide. The users are provided with multivariate data to continue the research and come to new interesting physical results. The survey of TGE physics and TGE selection procedure users can find in [6], the details of Aragats station facilities, and data analysis methods in the WiKI section of ADEI and in references [7-9].
References 
1. Soghomonyan, Suren; Chilingarian, Ashot, Khanikyants, Yeghia 2021,
Mendeley Data, V1, doi:10.17632/p25bb7jrfp.1 https://data.mendeley.com/datasets/p25bb7jrfp/1 
2. Soghomonyan, Suren; Chilingarian, Ashot; Pokhsraryan, David 2021, Mendeley Data, V1, doi: 10.17632/43ndcktj3z.1 
3. Chilingarian, Ashot; Hovsepyan, Gagik 2021, Mendeley Data, V3, doi: 10.17632/tvbn6wdf85.3 
4. Soghomonyan, Suren; Chilingarian, Ashot 2021, Mendeley Data, V1, doi: 10.17632/ygvjzdx3w3.1
5. Chilingarian, Ashot; Hovsepyan, Gagik; Sargsyan, Balabek 2022, Mendeley Data, V1, doi: 10.17632/8ygy98r99d.1
6. A.Chilingarian, G. Hovsepyan, D. Aslanyan, et al. 2022, PRD 106, 082004 (2022).
7. A. Chilingarian, G. Hovsepyan, T.Karapetyan, et al. 2022, JINST, 17 P03002.
8. A. Chilingarian, G. Hovsepyan, T. Karapetyan et al. 2022 JINST 17 P07022.
9. A.Chilingarian, G. Hovsepyan, T.Karapetyan, et al. 2022, JINST 17 P10011.
DOI: 10.17632/8gtdbch59z.5
title: Catalog of Thunderstorm Ground Enhancements (TGEs) observed at Aragats in 2013- 2023

description: We present the catalog of thunderstorm ground enhancements (TGEs) collected by multiyear 24/7 monitoring of various particle fluxes, environmental parameters, and near-surface electric fields on the slopes of Mt. Aragats in Armenia. Previously, we publish in Mendeley the subsets of TGE events abruptly interrupted by lightning discharges [1], short particle bursts observed by Aragats neutron monitor (ArNM, [2]), TGEs with electron content [3], TGEs abruptly terminated by a lightning flash, distance to which was observed by both EFM-100 sensor on Aragats, and - worldwide lightning location network (WWLLN) network [4], and TGEs accompanied with light radiation in the lower atmosphere [5]. In the posted dataset are shown 10 parameters of 288 TGEs observed in 2013-2021 (the total number of TGEs from 2008 to 2021 is 564). However, from the links to each TGE event, all multivariate measurements from the hundreds of registration channels are available. We present our measurements on a user-friendly site allowing further correlation analysis by colleagues worldwide. The users are provided with multivariate data to continue the research and come to new interesting physical results. The survey of TGE physics and TGE selection procedure users can find in [6], the details of Aragats station facilities, and data analysis methods in the WiKI section of ADEI and in references [7-9].
References 
1. Soghomonyan, Suren; Chilingarian, Ashot, Khanikyants, Yeghia 2021,
Mendeley Data, V1, doi:10.17632/p25bb7jrfp.1 https://data.mendeley.com/datasets/p25bb7jrfp/1 
2. Soghomonyan, Suren; Chilingarian, Ashot; Pokhsraryan, David 2021, Mendeley Data, V1, doi: 10.17632/43ndcktj3z.1 
3. Chilingarian, Ashot; Hovsepyan, Gagik 2021, Mendeley Data, V3, doi: 10.17632/tvbn6wdf85.3 
4. Soghomonyan, Suren; Chilingarian, Ashot 2021, Mendeley Data, V1, doi: 10.17632/ygvjzdx3w3.1
5. Chilingarian, Ashot; Hovsepyan, Gagik; Sargsyan, Balabek 2022, Mendeley Data, V1, doi: 10.17632/8ygy98r99d.1
6. A.Chilingarian, G. Hovsepyan, D. Aslanyan, et al. 2022, PRD 106, 082004 (2022).
7. A. Chilingarian, G. Hovsepyan, T.Karapetyan, et al. 2022, JINST, 17 P03002.
8. A. Chilingarian, G. Hovsepyan, T. Karapetyan et al. 2022 JINST 17 P07022.
9. A.Chilingarian, G. Hovsepyan, T.Karapetyan, et al. 2022, JINST 17 P10011.
DOI: 10.25582/data.2023-01.2722533/2284727
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722208/2284728
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722390/2284729
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722490/2284730
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721811/2284731
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721852/2284732
title: Data for EMSL Project 60066 from January 2023
DOI: 10.6084/m9.figshare.25157858
title: 部分原始data.xlsx

description: China's Beijing housing price data from Lianjia platform
DOI: 10.6084/m9.figshare.25157858.v1
title: 部分原始data.xlsx

description: China's Beijing housing price data from Lianjia platform
DOI: 10.25582/data.2023-01.2721924/2284733
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721977/2284734
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721806/2284735
title: Data for EMSL Project 60066 from January 2023
DOI: 10.17632/xggs239bnw.1
title: Imbalanced Data-based Prediction and Risk Factor Analysis of Stroke

description: In this study, a total of 4603 subjects who fulfilled the Inclusion and exclusion criteria were included all from NHANES. Of these, 362 individuals (7.86%) were diagnosed as stroke patients, while 4241 individuals (92.14%) were identified as non-stroke patients. The first column of the dataset is the outcome variable of stroke, and the other columns are the predictors, including gender, age, Race,Marital status, alcohol, smoke, sleep disorder, Health Insurance, General health condition, depression, sleep time, diabetes, hypertension, high cholesterol, Minutes sedentary activity, Coronary Heart Disease, Body Mass Index, Waist Circumference, Systolic blood pressure, Diastolic blood pressure, High-density lipoprotein, Triglyceride, Low-density lipoprotein, Fasting Glucose, Glycohemoglobin, energy, protein, Carbohydrate, Dietary fiber, Total fat, Total saturated fatty acids, Total monounsaturated fatty acids, Total polyunsaturated fatty acids, Potassium, Sodium.
DOI: 10.25582/data.2023-01.2722538/2284736
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721767/2284737
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722436/2284738
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722051/2284739
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722055/2284740
title: Data for EMSL Project 60066 from January 2023
DOI: 10.17632/32rtxg8zxf.1
title: Analysis of the relationship between medical achievement self-efficacy perception and Impostor Phenomenon in the postgraduate education process: A cross-sectional study

description: The relationship between the Impostor Phenomenon, which was first defined in the academic field, and the level of Academic Self-Efficacy.
DOI: 10.25582/data.2023-01.2722239/2284741
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722281/2284742
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722001/2284743
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722138/2284744
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721817/2284745
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722077/2284746
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722173/2284747
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722035/2284748
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721994/2284749
title: Data for EMSL Project 60066 from January 2023
DOI: 10.17632/4dxxjd99wc.1
title: An Innovative Decision-Making Methodology for Design Concept Evaluation: Integrating Kano Model and Enhanced GRP Method with Interval-Valued Picture Fuzzy Set

description: original data
DOI: 10.25582/data.2023-01.2722451/2284750
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721585/2284751
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722412/2284752
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722327/2284753
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721776/2284754
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722386/2284755
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722504/2284756
title: Data for EMSL Project 60066 from January 2023
DOI: 10.17632/rg7r9f8hff.1
title: Multi-Strategy Adaptive Data Augmentation for Graph Neural Networks

description: Datasets of Multi-Strategy Adaptive Data Augmentation for Graph Neural Networks
DOI: 10.25582/data.2023-01.2721833/2284757
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721579/2284758
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721590/2284759
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722065/2284760
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722532/2284761
title: Data for EMSL Project 60066 from January 2023
DOI: 10.26036/cnp0005322
title: Methylation-Induced Chromatin Capture to investigate the loop extrusion pattern on the chromatin structure

description: Our team has developed the Methylation-Induced Chromatin Capture (MICC)-seq technique, which takes advantage of EcoGII to label open chromatin with m6A. We use the m6A-specific digestion enzyme DpnI to
selectively recognize and digest the m6A(GATC) sites, resulting in free ends for in situ ligation downstream. By using DpnII, which selectively digests the unmethylated closed chromatin, we can bserve specific interactions within closed chromatin. This versatile method is applicable for studying various types of chromatin.
DOI: 10.25582/data.2023-01.2722182/2284762
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722344/2284763
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721569/2284764
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721754/2284765
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722325/2284766
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722245/2284767
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721588/2284768
title: Data for EMSL Project 60066 from January 2023
DOI: 10.6084/m9.figshare.25157849
title: <b>Robust temporal adiabatic passage with perfect frequency conversion between detuned acoustic cavities</b>

description: Source data for the work entitled "Robust temporal adiabatic passage with perfect frequency conversion between detuned acoustic cavities".
DOI: 10.25582/data.2023-01.2722385/2284769
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722441/2284770
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722346/2284771
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721952/2284772
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722476/2284773
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722133/2284774
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721939/2284775
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721857/2284776
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722679/2284777
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722321/2284778
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721803/2284779
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722486/2284780
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721565/2284781
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721721/2284782
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722082/2284783
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721744/2284784
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721959/2284785
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721878/2284786
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721940/2284787
title: Data for EMSL Project 60066 from January 2023
DOI: 10.17632/62v7h7ctsg.1
title: Assessment of Myeloperoxidase in Lung Injury Among Elderly COVID-19 Patients Using a Murine Model

description: MANUSCCOVID-19 disproportionately affects elderly populations, with lung injury being a significant cause of morbidity and mortality. The pronounced fatality rate is largely attributed to the development of acute respiratory distress syndrome, conventionally believed to be primarily driven by a cytokine storm. However, drugs targeting cytokine storms have demonstrated limited therapeutic benefits. This study investigates Myeloperoxidase (MPO) as a biomarker for lung injury in elderly COVID-19 patients. Analyzing hospitalized patients, we observed higher MPO levels in older individuals compared to younger counterparts. Utilizing a murine model, we demonstrated that older mice exhibit increased MPO protein in bronchoalveolar lavage fluid, despite a weaker cytokine storm. The role of MPO in lung injury was further elucidated by employing MPO-deficient mice, which showed reduced neutrophil infiltration and lung damage. A high-throughput screen identified Oxyresveratrol as a potent MPO inhibitor. In our COVID-19 mouse model, Oxyresveratrol treatment significantly reduced inflammatory markers and lung injury. These findings suggest MPO as a viable biomarker for severe COVID-19 in elderly patients and highlight Oxyresveratrol as a potential therapeutic agent for MPO-induced lung damage.
DOI: 10.25582/data.2023-01.2722227/2284788
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722484/2284789
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721944/2284790
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722150/2284791
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722030/2284792
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2722210/2284793
title: Data for EMSL Project 60066 from January 2023
DOI: 10.25582/data.2023-01.2721785/2284794
title: Data for EMSL Project 60066 from January 2023