cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24v7s1
title: CCDC 1991433: Experimental Crystal Structure Determination

description: Related Article: Yasufumi Fuchi, Tomohiro Umeno, Yuichiro Abe, Keita Ikeno, Ryu Yamasaki, Iwao Okamoto, Kazuteru Usui, Satoru Karasawa|2020|J.Org.Chem.|85|13177|doi:10.1021/acs.joc.0c01878
DOI: 10.5517/ccdc.csd.cc24v7x5
title: CCDC 1991437: Experimental Crystal Structure Determination

description: Related Article: Yasufumi Fuchi, Tomohiro Umeno, Yuichiro Abe, Keita Ikeno, Ryu Yamasaki, Iwao Okamoto, Kazuteru Usui, Satoru Karasawa|2020|J.Org.Chem.|85|13177|doi:10.1021/acs.joc.0c01878
DOI: 10.5517/ccdc.csd.cc24v7y6
title: CCDC 1991438: Experimental Crystal Structure Determination

description: Related Article: Yasufumi Fuchi, Tomohiro Umeno, Yuichiro Abe, Keita Ikeno, Ryu Yamasaki, Iwao Okamoto, Kazuteru Usui, Satoru Karasawa|2020|J.Org.Chem.|85|13177|doi:10.1021/acs.joc.0c01878
DOI: 10.5517/ccdc.csd.cc24v7z7
title: CCDC 1991439: Experimental Crystal Structure Determination

description: Related Article: Yasufumi Fuchi, Tomohiro Umeno, Yuichiro Abe, Keita Ikeno, Ryu Yamasaki, Iwao Okamoto, Kazuteru Usui, Satoru Karasawa|2020|J.Org.Chem.|85|13177|doi:10.1021/acs.joc.0c01878
DOI: 10.25505/fiz.icsd.cc251cvg
title: CSD 1997325: Experimental Crystal Structure Determination

description: Related Article: Eduard Garrido Ribó, Nicola L. Bell, Weimin Xuan, Jiancheng Luo, De-Liang Long, Tianbo Liu, Leroy Cronin|2020|J.Am.Chem.Soc.|142|17508|doi:10.1021/jacs.0c07146
DOI: 10.25505/fiz.icsd.cc251cwh
title: CSD 1997326: Experimental Crystal Structure Determination

description: Related Article: Eduard Garrido Ribó, Nicola L. Bell, Weimin Xuan, Jiancheng Luo, De-Liang Long, Tianbo Liu, Leroy Cronin|2020|J.Am.Chem.Soc.|142|17508|doi:10.1021/jacs.0c07146
DOI: 10.25505/fiz.icsd.cc251cxj
title: CSD 1997327: Experimental Crystal Structure Determination

description: Related Article: Eduard Garrido Ribó, Nicola L. Bell, Weimin Xuan, Jiancheng Luo, De-Liang Long, Tianbo Liu, Leroy Cronin|2020|J.Am.Chem.Soc.|142|17508|doi:10.1021/jacs.0c07146
DOI: 10.5281/zenodo.4119138
title: Directorio de Hospitales del departamento de Antioquia con Coordenadas Geográficas

description: Contiene datos de las Empresas Sociales del Estado -E.S.E. - Hospitales del departamento de Antioquia, con sus coordenadas para localización geográfica de Colombia
DOI: 10.5281/zenodo.4119137
title: Directorio de Hospitales del departamento de Antioquia con Coordenadas Geográficas

description: Contiene datos de las Empresas Sociales del Estado -E.S.E. - Hospitales del departamento de Antioquia, con sus coordenadas para localización geográfica de Colombia
DOI: 10.5281/zenodo.4119161
title: Stress-strain plotting MatFlow demonstration

description: This is a completed MatFlow workflow for plotting a stress-strain curve from a full-field crystal plasticity simulation.
DOI: 10.5281/zenodo.4119160
title: Stress-strain plotting MatFlow demonstration

description: This is a completed MatFlow workflow for plotting a stress-strain curve from a full-field crystal plasticity simulation.
DOI: 10.5281/zenodo.4119168
title: terrenos_quito

description: Con el afán de tomar decisiones más acertadas en relación a la inversión en bienes raíces, he decidido recolectar información acerca de los terrenos disponibles a la venta en la ciudad de Quito, Ecuador y sus alrededores. Uno de los sitios web con más prestigio dentro de Ecuador para la publicación de compra y venta de bienes inmuebles es **plusvalia.com**. Cuenta con un sinnúmero de información acerca de propiedades en su base de datos, sin embargo no existe una api pública con la cuál obtener la información deseada. La información que ese puede enontrar en esta página esta relacionada al precio de venta, tamaño, sector, etc. de dichos bienes, lo cuál me servirá para analizar áreas con máyor pluvalía que otras así como el precio por metro cuadrado para saber en donde puedo invertir. El contenido del set de datos generados contiene un listado de anuncios de terrenos en venta en la ciudad de Quito, Ecuador. Fue obtenido el 22 de octubre de 2019 y contiene 5.453 registros obtenidos de 219 páginas en el sitio web. El contenido del set de datos generados contiene un listado de anuncios de terrenos en venta con los siguientes campos: nombre: Nombre del terreno en venta sector: Sector donde se encuentra el terreno, el valor será Sector, Ciudad (todos los registros corresponden a Quito) precio: Valor en dólares, el valor incluye la moneda (USD 24.500) area: Área del terreno con su unidad y descripción (500 m2 totales) publicador1: Empresa que publica el anuncio de venta. El valor es obtenido de la imagen del logo (/mutualistaPichincha.jpg) publicador2: Segunda empresa (si existe) que publica el anuncio de venta. El valor es obtenido de la imagen del logo tiempo_publicacion: Hace cuánto fue publicado el anuncio de venta finalizado: Indica si el bien está finalizado o en planos, si el valor está vacío es que ya está finalizado fecha_venta: Indica cuando el bien esta disponible para la venta, si el valor está vacío quiere decir que está disponible
description: Los datos se obtuvieron del sitio web [plusvalia.com](https://www.plusvalia.com). He ocupado python con técnicas de *Web Scraping* para obtener la información mostrada en 219 páginas. He filtrado la información previamente para solo obtener unformación de terrenos, para ello he realizado la extracción de la url que contiene los filtros y la páginación https://www.plusvalia.com/terrenos-en-venta-en-quito-pagina-10.html.
DOI: 10.5281/zenodo.4119167
title: terrenos_quito

description: Con el afán de tomar decisiones más acertadas en relación a la inversión en bienes raíces, he decidido recolectar información acerca de los terrenos disponibles a la venta en la ciudad de Quito, Ecuador y sus alrededores. Uno de los sitios web con más prestigio dentro de Ecuador para la publicación de compra y venta de bienes inmuebles es **plusvalia.com**. Cuenta con un sinnúmero de información acerca de propiedades en su base de datos, sin embargo no existe una api pública con la cuál obtener la información deseada. La información que ese puede enontrar en esta página esta relacionada al precio de venta, tamaño, sector, etc. de dichos bienes, lo cuál me servirá para analizar áreas con máyor pluvalía que otras así como el precio por metro cuadrado para saber en donde puedo invertir. El contenido del set de datos generados contiene un listado de anuncios de terrenos en venta en la ciudad de Quito, Ecuador. Fue obtenido el 22 de octubre de 2019 y contiene 5.453 registros obtenidos de 219 páginas en el sitio web. El contenido del set de datos generados contiene un listado de anuncios de terrenos en venta con los siguientes campos: nombre: Nombre del terreno en venta sector: Sector donde se encuentra el terreno, el valor será Sector, Ciudad (todos los registros corresponden a Quito) precio: Valor en dólares, el valor incluye la moneda (USD 24.500) area: Área del terreno con su unidad y descripción (500 m2 totales) publicador1: Empresa que publica el anuncio de venta. El valor es obtenido de la imagen del logo (/mutualistaPichincha.jpg) publicador2: Segunda empresa (si existe) que publica el anuncio de venta. El valor es obtenido de la imagen del logo tiempo_publicacion: Hace cuánto fue publicado el anuncio de venta finalizado: Indica si el bien está finalizado o en planos, si el valor está vacío es que ya está finalizado fecha_venta: Indica cuando el bien esta disponible para la venta, si el valor está vacío quiere decir que está disponible
description: Los datos se obtuvieron del sitio web [plusvalia.com](https://www.plusvalia.com). He ocupado python con técnicas de *Web Scraping* para obtener la información mostrada en 219 páginas. He filtrado la información previamente para solo obtener unformación de terrenos, para ello he realizado la extracción de la url que contiene los filtros y la páginación https://www.plusvalia.com/terrenos-en-venta-en-quito-pagina-10.html.
DOI: 10.5517/ccdc.csd.cc25n073
title: CCDC 2015224: Experimental Crystal Structure Determination

description: Related Article: Li Zhen, Shuo Tong, Jieping Zhu, Mei-Xiang Wang|2020|J.Org.Chem.|85|13211|doi:10.1021/acs.joc.0c01992
DOI: 10.5517/ccdc.csd.cc25n0gb
title: CCDC 2015231: Experimental Crystal Structure Determination

description: Related Article: Li Zhen, Shuo Tong, Jieping Zhu, Mei-Xiang Wang|2020|J.Org.Chem.|85|13211|doi:10.1021/acs.joc.0c01992
DOI: 10.5517/ccdc.csd.cc25qjv9
title: CCDC 2017661: Experimental Crystal Structure Determination

description: Related Article: Xiang-Zhi Zhang, Bao Qiong Li, Zong-Wang Qiu, Aijun Ma, Jin-Bao Peng, Ji-Yuan Du, Na Feng, Xue-Tao Xu, and Han-Peng Pan|2020|J.Org.Chem.|85|13306|doi:10.1021/acs.joc.0c01791
DOI: 10.5517/ccdc.csd.cc25qs2s
title: CCDC 2017885: Experimental Crystal Structure Determination

description: Related Article: Yasufumi Fuchi, Tomohiro Umeno, Yuichiro Abe, Keita Ikeno, Ryu Yamasaki, Iwao Okamoto, Kazuteru Usui, Satoru Karasawa|2020|J.Org.Chem.|85|13177|doi:10.1021/acs.joc.0c01878
DOI: 10.5517/ccdc.csd.cc25qs3t
title: CCDC 2017886: Experimental Crystal Structure Determination

description: Related Article: Yasufumi Fuchi, Tomohiro Umeno, Yuichiro Abe, Keita Ikeno, Ryu Yamasaki, Iwao Okamoto, Kazuteru Usui, Satoru Karasawa|2020|J.Org.Chem.|85|13177|doi:10.1021/acs.joc.0c01878
DOI: 10.6084/m9.figshare.13131107.v1
title: R0310_20191121a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13133552
title: Proteome database of Listeria seeligeri strain 7KSM

description: <i>Listeria seeligeri</i> is a Gram-positive, facultative anaerobic bacterium that secretes hemolytic toxins. This work presents the proteome database of <i>L. seeligeri</i> strain 7KSM by parsing its annotated proteome downloaded from UniProt. Comprising protein name and amino acid sequence, and augmented with calculated variables such as number of residues, molecular weight, and nucleotide sequence of each protein in the proteome, the resource should find use in functional genomics for gaining further understanding on the lifestyle and pathogenesis mechanisms of this bacterium.
DOI: 10.6084/m9.figshare.13133552.v1
title: Proteome database of Listeria seeligeri strain 7KSM

description: <i>Listeria seeligeri</i> is a Gram-positive, facultative anaerobic bacterium that secretes hemolytic toxins. This work presents the proteome database of <i>L. seeligeri</i> strain 7KSM by parsing its annotated proteome downloaded from UniProt. Comprising protein name and amino acid sequence, and augmented with calculated variables such as number of residues, molecular weight, and nucleotide sequence of each protein in the proteome, the resource should find use in functional genomics for gaining further understanding on the lifestyle and pathogenesis mechanisms of this bacterium.
DOI: 10.6084/m9.figshare.13133537
title: Evolution of near-surface wind strength in eastern arid central Asia during the Holocene

description: quartz grain size
DOI: 10.6084/m9.figshare.13133537.v2
title: Evolution of near-surface wind strength in eastern arid central Asia during the Holocene

description: quartz grain size
DOI: 10.5517/ccdc.csd.cc1nfwzy
title: CCDC 1532701: Experimental Crystal Structure Determination

description: Related Article: Kavita Kumari, Michael G.B. Drew, Nanhai Singh|2020|J.Organomet.Chem.|928|121532|doi:10.1016/j.jorganchem.2020.121532
DOI: 10.5517/ccdc.csd.cc1pq68w
title: CCDC 1570468: Experimental Crystal Structure Determination

description: Related Article: Kavita Kumari, Michael G.B. Drew, Nanhai Singh|2020|J.Organomet.Chem.|928|121532|doi:10.1016/j.jorganchem.2020.121532
DOI: 10.5517/ccdc.csd.cc1pq69x
title: CCDC 1570469: Experimental Crystal Structure Determination

description: Related Article: Kavita Kumari, Michael G.B. Drew, Nanhai Singh|2020|J.Organomet.Chem.|928|121532|doi:10.1016/j.jorganchem.2020.121532
DOI: 10.5517/ccdc.csd.cc258sw4
title: CCDC 2004456: Experimental Crystal Structure Determination

description: Related Article: Kavita Kumari, Michael G.B. Drew, Nanhai Singh|2020|J.Organomet.Chem.|928|121532|doi:10.1016/j.jorganchem.2020.121532
DOI: 10.5517/ccdc.csd.cc258sx5
title: CCDC 2004457: Experimental Crystal Structure Determination

description: Related Article: Kavita Kumari, Michael G.B. Drew, Nanhai Singh|2020|J.Organomet.Chem.|928|121532|doi:10.1016/j.jorganchem.2020.121532
DOI: 10.25919/5f924c8a1caa7
title: Parkes observations for project P1062 semester 2020APRS_04

description: We propose to monitor the potential repeating FRBs in the Southern Sky with luminosity di- chotomy criterion. With a success of luminosity-guided detection of a repeating source by FAST, we can continue to search for more repeaters hidden in current FRB sample according to luminosity dichotomy. Specifically, we select FRB 171020 and FRB 180923 as the targets of proposed obser- vations, which are located in the repeater population in the luminosity function. We demonstrate that the observing with 20 hours for each source is optimistic using Parkes ultra-wide-bandwidth receiver (UWL), if there are repeaters among them.
DOI: 10.25919/5f924f7f2f567
title: Parkes observations for project P595 semester 2020APRS_21

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the FERMI Gamma ray mission, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.6084/m9.figshare.13133429.v1
title: R0310_20191122a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13133429
title: R0310_20191122a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13133324.v1
title: R0311_20191112a_videos

description: Rat 0311, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13133324
title: R0311_20191112a_videos

description: Rat 0311, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.7931/paqg-kk20
title: Genome assembly for rewarewa (Knightia excelsa)
DOI: 10.21227/v429-7882
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.-------------------------------------Related: Coronavirus (COVID-19) Tweets Sentiment Trend (Global), Coronavirus (COVID-19) Tweets Dataset and Tweets Originating from India During COVID-19 Lockdowns 1, 2, 3, 4-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 246,699 tweets— Coverage : Global— Language : English (EN)— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Usage policy : As per Twitter's Developer Policy— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time of each CSV file present in this dataset.
DOI: 10.6084/m9.figshare.12962132.v4
title: Leptospirosis extended data files

description: Excel files with EGMs
DOI: 10.6084/m9.figshare.13134254
title: Supplementary Material for: Development and Validation of HSCAPS-1: A Clinical Decision Support Tool for Diagnosis of Hidradenitis Suppurativa over Cutaneous Abscess

description: <b><i>Background:</i></b> A clinical decision support tool may improve recognition of hidradenitis suppurativa (HS) and reduce diagnosis delay. <b><i>Objective:</i></b> To develop and initially validate a clinical decision support to predict diagnosis of HS and distinguish it from cutaneous abscess of the axilla, groin, perineum, and buttock. <b><i>Methods:</i></b> This was a retrospective, cross-sectional analysis between January 2012 and June 2017 (development set) and July 2017 and March 2019 (validation set). We used an electronic records sample of 56 million patients from the Explorys database to identify patients with an ambulatory visit associated with either HS or cutaneous of the axilla, groin, perineum, and buttock. The outcome was predicted probability of HS diagnosis. <b><i>Results:</i></b> Development set included 7,974 patients with mean age of 41.4 years, who were predominantly female (66%) and white (62%). Validation set included 1,560 patients with similar demographic composition. Factors which were stronger independent predictors of HS included female sex (OR 2.17 [95% CI 1.96–2.40]); African American race (1.28 [95% CI 1.15–1.44]); increasing BMI (OR 1.05 [95% CI 1.05–1.06)]; history of acne (OR 3.46 [95% CI 2.83–4.23]); Down syndrome (OR 5.35 [95% CI 2.03–14.12]); and prescription for at least 7 opioid medications in the past year (OR 1.05 [95% CI 0.83–1.33]). Up to age 45 years, increasing age was a stronger predictor of HS diagnosis. The simplified model showed good discrimination (c-statistic 0.746 [SE 0.013]) and moderate calibration (calibration intercept –0.260 [SE 0.055]; calibration slope 1.142 [SE 0.076]). <b><i>Conclusion:</i></b> This clinical decision support tool shows good performance in predicting diagnosis of HS and distinguishing it from cutaneous abscess that involves the axilla, groin, perineum, and buttock.
DOI: 10.6084/m9.figshare.13134254.v1
title: Supplementary Material for: Development and Validation of HSCAPS-1: A Clinical Decision Support Tool for Diagnosis of Hidradenitis Suppurativa over Cutaneous Abscess

description: <b><i>Background:</i></b> A clinical decision support tool may improve recognition of hidradenitis suppurativa (HS) and reduce diagnosis delay. <b><i>Objective:</i></b> To develop and initially validate a clinical decision support to predict diagnosis of HS and distinguish it from cutaneous abscess of the axilla, groin, perineum, and buttock. <b><i>Methods:</i></b> This was a retrospective, cross-sectional analysis between January 2012 and June 2017 (development set) and July 2017 and March 2019 (validation set). We used an electronic records sample of 56 million patients from the Explorys database to identify patients with an ambulatory visit associated with either HS or cutaneous of the axilla, groin, perineum, and buttock. The outcome was predicted probability of HS diagnosis. <b><i>Results:</i></b> Development set included 7,974 patients with mean age of 41.4 years, who were predominantly female (66%) and white (62%). Validation set included 1,560 patients with similar demographic composition. Factors which were stronger independent predictors of HS included female sex (OR 2.17 [95% CI 1.96–2.40]); African American race (1.28 [95% CI 1.15–1.44]); increasing BMI (OR 1.05 [95% CI 1.05–1.06)]; history of acne (OR 3.46 [95% CI 2.83–4.23]); Down syndrome (OR 5.35 [95% CI 2.03–14.12]); and prescription for at least 7 opioid medications in the past year (OR 1.05 [95% CI 0.83–1.33]). Up to age 45 years, increasing age was a stronger predictor of HS diagnosis. The simplified model showed good discrimination (c-statistic 0.746 [SE 0.013]) and moderate calibration (calibration intercept –0.260 [SE 0.055]; calibration slope 1.142 [SE 0.076]). <b><i>Conclusion:</i></b> This clinical decision support tool shows good performance in predicting diagnosis of HS and distinguishing it from cutaneous abscess that involves the axilla, groin, perineum, and buttock.
DOI: 10.6084/m9.figshare.13134344
title: Supplementary Material for: In situ Evidence of Collagen V and Interleukin-6/Interleukin-17 Activation in Vascular Remodeling of Experimental Pulmonary Hypertension

description: Several studies have reported the pathophysiologic and molecular mechanisms responsible for pulmonary arterial hypertension (PAH). However, the in situ evidence of collagen V (Col V) and interleukin-17 (IL-17)/interleukin-6 (IL-6) activation in PAH has not been fully elucidated. We analyzed the effects of collagen I (Col I), Col V, IL-6, and IL-17 on vascular remodeling and hemodynamics and its possible mechanisms of action in monocrotaline (MCT)-induced PAH. Twenty male Wistar rats were randomly divided into two groups. In the PAH group, animals received MCT 60 mg/kg intraperitoneally, whereas the control group (CTRL) received saline. On day 21, the pulmonary blood pressure (PAP) and right ventricular systolic pressure (RVSP) were determined. Lung histology (smooth muscle cell proliferation [α-smooth muscle actin; α-SMA] and periadventitial fibrosis), immunofluorescence (Col I, Col V, and α-SMA), immunohistochemistry (IL-6, IL-17, and transforming growth factor-beta [TGF-β]), and transmission electron microscopy to detect fibronexus were evaluated. The RVSP (40 ± 2 vs. 24 ± 1 mm Hg, respectively; <i>p</i> &lt; 0.0001), right ventricle hypertrophy index (65 ± 9 and 25 ± 5%, respectively; <i>p</i> &lt; 0.0001), vascular periadventitial Col I and Col V, smooth muscle cell α-SMA+, fibronexus, IL-6, IL-17, and TGF-β were higher in the MCT group than in the CTRL group. In conclusion, our findings indicate in situ evidence of Col V and IL-6/IL-17 activation in vascular remodeling and suggest that increase of Col V may yield potential therapeutic targets for treating patients with PAH.
DOI: 10.6084/m9.figshare.13134344.v1
title: Supplementary Material for: In situ Evidence of Collagen V and Interleukin-6/Interleukin-17 Activation in Vascular Remodeling of Experimental Pulmonary Hypertension

description: Several studies have reported the pathophysiologic and molecular mechanisms responsible for pulmonary arterial hypertension (PAH). However, the in situ evidence of collagen V (Col V) and interleukin-17 (IL-17)/interleukin-6 (IL-6) activation in PAH has not been fully elucidated. We analyzed the effects of collagen I (Col I), Col V, IL-6, and IL-17 on vascular remodeling and hemodynamics and its possible mechanisms of action in monocrotaline (MCT)-induced PAH. Twenty male Wistar rats were randomly divided into two groups. In the PAH group, animals received MCT 60 mg/kg intraperitoneally, whereas the control group (CTRL) received saline. On day 21, the pulmonary blood pressure (PAP) and right ventricular systolic pressure (RVSP) were determined. Lung histology (smooth muscle cell proliferation [α-smooth muscle actin; α-SMA] and periadventitial fibrosis), immunofluorescence (Col I, Col V, and α-SMA), immunohistochemistry (IL-6, IL-17, and transforming growth factor-beta [TGF-β]), and transmission electron microscopy to detect fibronexus were evaluated. The RVSP (40 ± 2 vs. 24 ± 1 mm Hg, respectively; <i>p</i> &lt; 0.0001), right ventricle hypertrophy index (65 ± 9 and 25 ± 5%, respectively; <i>p</i> &lt; 0.0001), vascular periadventitial Col I and Col V, smooth muscle cell α-SMA+, fibronexus, IL-6, IL-17, and TGF-β were higher in the MCT group than in the CTRL group. In conclusion, our findings indicate in situ evidence of Col V and IL-6/IL-17 activation in vascular remodeling and suggest that increase of Col V may yield potential therapeutic targets for treating patients with PAH.