cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18716/nmrshiftdb2/10018098
title: NMR data for 6-methyl-1H-pyrrolo[2,3-c]pyridin-7-one
DOI: 10.18716/nmrshiftdb2/10018099
title: NMR data for 2-methyl-3,4-dihydropyrrolo[1,2-a]pyrazin-1-one
DOI: 10.18716/nmrshiftdb2/10018100
title: NMR data for 5-acetyl-4-amino-1-methyl-2-methylsulfanylpyrrole-3-carbonitrile
DOI: 10.18716/nmrshiftdb2/10018101
title: NMR data for 5-methylindolo[3,2-c]quinoline
DOI: 10.18716/nmrshiftdb2/10018102
title: NMR data for 9-(10-bromoanthracen-9-yl)carbazole
DOI: 10.18716/nmrshiftdb2/10018104
title: NMR data for 9-carbazol-9-ylacridine
DOI: 10.18716/nmrshiftdb2/10018103
title: NMR data for 9-anthracen-9-ylcarbazole
DOI: 10.18716/nmrshiftdb2/10018105
title: NMR data for 2-bromothiophene
DOI: 10.18716/nmrshiftdb2/10018106
title: NMR data for (5-methylthiophen-2-yl)methanol
DOI: 10.18716/nmrshiftdb2/10018107
title: NMR data for 4-bromo-2-methylthiophene
DOI: 10.25318/1310080901-eng
title: Canadians health and COVID-19, by region, age, gender and other characteristics

description: This table presents a series of indicators relating to the COVID-19 pandemic, including relating to perceptions of Canadians' mental health, precautions they've taken, their experience of symptoms, and willingness to receive vaccine. Estimates are based on preliminary monthly data from the Canadian Community Health Survey, and are provided for the Canadian population aged 18 and older excluding the territories, by gender, age, region of residence, and other demographic characteristics.
DOI: 10.25387/g3.13564214.v1
title: Supplemental Material for Wang et al., 2021

description: Two supplemental Figures (Figure S1 and Figure S2) and 12 supplemental Tables (Table S1-Table S12) are included.
DOI: 10.25387/g3.13564214
title: Supplemental Material for Wang et al., 2021

description: Two supplemental Figures (Figure S1 and Figure S2) and 12 supplemental Tables (Table S1-Table S12) are included.
DOI: 10.25318/4110004301-eng
title: Self-rated ability to understand and speak an Aboriginal language by Aboriginal identity, age group and sex

description: Self-rated ability to understand and speak an Aboriginal language by Aboriginal identity, age group and sex, population aged 15 years and over, Canada, provinces and territories.
DOI: 10.5281/zenodo.4574172
title: A Mapping Study of Video Game Testing

description: Data for the paper: A Survey of Video Game Testing
DOI: 10.5281/zenodo.4451308
title: A Mapping Study of Video Game Testing

description: Data for the paper: A Survey of Video Game Testing
DOI: 10.25318/4110004301-fra
title: Auto-évaluation de la capacité à comprendre et parler une langue autochtone selon l'identité autochtone, le groupe d'âge, et sexe

description: Auto-évaluation de la capacité à comprendre et parler une langue autochtone selon l'identité autochtone, le groupe d'âge, et sexe, population âgée de 15 ans et plus, Canada, provinces et territoires.
DOI: 10.5281/zenodo.4573980
title: Optimization of Slipids Force Field Parameters Describing Headgroups of Phospholipids

description: Trajectory, topology and parameter files for simulation of DMPC bilayer using force field parameters derived in <em>J. Phys. Chem. B</em> 2020, 124, 40, 8784–8793.
DOI: 10.5281/zenodo.4573988
title: An open-source pylon components and fault detection dataset for training the ML Algorithms

description: # About Dataset This is an open dataset for the pylon components inspection community. The dataset contains 555 images (jpg and png) of three different classes of pylon components (Insulator, Pylon, and Covered Insulator) and their respective annotation (bounding boxes) files. This is a three classes problem and images vary in dimensions and captured from different angles from the drone camera. &lt;!-- It's a great first dataset for getting started with pylons inspection. --&gt; ## Dataset Information Total Number of Images (jpg, png): 555 - DJI_*jpg ... - Frame_*jpg ... - Image_*png ... Total Number of annotation files: 555 - DJI_*txt ... - Frame_*txt ... - Image_*txt ... "Classes.txt" contains the class names according to their index in the annotation files. Classes.txt: - Insulator - Pylon - Covered Insulator Each class is represent by index in the annotation files fo related image - Insulator --&gt; 0 - Pylon --&gt; 1 - Covered Insulator --&gt; 2 ## Example For example for DJI_0001.jpg annotated file DJI_0001.txt contains following information: 0 0.552125 0.273778 0.073250 0.190222 0 0.047875 0.710889 0.033750 0.052889 | Class | X pixel | Y Pixel | Box Width | Box Height | |:-:|:-:|:-:|:-:|:-:| | 0 | 0.552125 | 0.273778 | 0.073250 | 0.190222 | | 0 | 0.047875 | 0.710889 | 0.033750 | 0.052889 | where 0 is the index of the class in classes.txt file, the remaining 4 values are bounding box information of normalized [x, y, width, height] ## Credit These images are taken from the Drone by Oscar Bowen Schofield at SDU UAS center and annotated by Naeem Ayoub. The Dataset is now being released as an open-source for research purposes only.
DOI: 10.5281/zenodo.4573987
title: An open-source pylon components and fault detection dataset for training the ML Algorithms

description: # About Dataset This is an open dataset for the pylon components inspection community. The dataset contains 555 images (jpg and png) of three different classes of pylon components (Insulator, Pylon, and Covered Insulator) and their respective annotation (bounding boxes) files. This is a three classes problem and images vary in dimensions and captured from different angles from the drone camera. &lt;!-- It's a great first dataset for getting started with pylons inspection. --&gt; ## Dataset Information Total Number of Images (jpg, png): 555 - DJI_*jpg ... - Frame_*jpg ... - Image_*png ... Total Number of annotation files: 555 - DJI_*txt ... - Frame_*txt ... - Image_*txt ... "Classes.txt" contains the class names according to their index in the annotation files. Classes.txt: - Insulator - Pylon - Covered Insulator Each class is represent by index in the annotation files fo related image - Insulator --&gt; 0 - Pylon --&gt; 1 - Covered Insulator --&gt; 2 ## Example For example for DJI_0001.jpg annotated file DJI_0001.txt contains following information: 0 0.552125 0.273778 0.073250 0.190222 0 0.047875 0.710889 0.033750 0.052889 | Class | X pixel | Y Pixel | Box Width | Box Height | |:-:|:-:|:-:|:-:|:-:| | 0 | 0.552125 | 0.273778 | 0.073250 | 0.190222 | | 0 | 0.047875 | 0.710889 | 0.033750 | 0.052889 | where 0 is the index of the class in classes.txt file, the remaining 4 values are bounding box information of normalized [x, y, width, height] ## Credit These images are taken from the Drone by Oscar Bowen Schofield at SDU UAS center and annotated by Naeem Ayoub. The Dataset is now being released as an open-source for research purposes only.
DOI: 10.6084/m9.figshare.14141732
title: Absorption and Scattering cross-sections of Plasmonic meta structures

description: The raw data of the absorption and scatting cross-section of plasmonic meta structures. <br>
DOI: 10.5281/zenodo.4574201
title: Nutrient and particle data from offshore of Kilauea during the 2018 eruption and lava ocean entry

description: Samples in this dataset were collected offshore of Kilauea volcano in 2018 during an active ocean entry of lava.
description: {"references": ["Hawco N. J., S. -C. Yang, R. K. Foreman, C. P. Funkey, M. Dugenne, A. E. White, S. T. Wilson, R. L. Kelly, X. Bien, K. -F. Huang, D. M. Karl, and S. G. John. 2020. Metal isotope signatures from lava-seawater interaction during the 2018 eruption of K\u012blauea. Geochim. Cosmochim. Acta 282: 340-356, doi:10.1016/j.gca.2020.05.005.", "Wilson, S., N. J. Hawco, E. V. Armbrust, B. Barone, K. M. Bj\u00f6rkman, A. K. Boysen, M. Burgos, T. J. Burrell1, J. R. Casey, E. F. DeLong, M. Dugenne, S. Dutkiewicz, S. T. Dyhrman, S. Ferr\u00f3n, M. J. Follows, R. K. Foreman, C. P. Funkey, M. J. Harke, B. A. Henke, C. N. Hill, A. M. Hynes, A. E. Ingalls, O. Jahn, R. L. Kelly, A. N. Knapp, R. M. Letelier, F. Ribalet, E. M. Shimabukuro, R. K. S. Tabata, K. A. Turk-Kubo, A. E. White, J. P. Zehr, S. John, and D. M. Karl. 2019. K\u012blauea lava fuels phytoplankton bloom in the North Pacific Ocean. Science 365: 1040-1044, doi:10.1126/science.aax4767."]}
DOI: 10.5281/zenodo.4574200
title: Nutrient and particle data from offshore of Kilauea during the 2018 eruption and lava ocean entry

description: Samples in this dataset were collected offshore of Kilauea volcano in 2018 during an active ocean entry of lava.
description: {"references": ["Hawco N. J., S. -C. Yang, R. K. Foreman, C. P. Funkey, M. Dugenne, A. E. White, S. T. Wilson, R. L. Kelly, X. Bien, K. -F. Huang, D. M. Karl, and S. G. John. 2020. Metal isotope signatures from lava-seawater interaction during the 2018 eruption of K\u012blauea. Geochim. Cosmochim. Acta 282: 340-356, doi:10.1016/j.gca.2020.05.005.", "Wilson, S., N. J. Hawco, E. V. Armbrust, B. Barone, K. M. Bj\u00f6rkman, A. K. Boysen, M. Burgos, T. J. Burrell1, J. R. Casey, E. F. DeLong, M. Dugenne, S. Dutkiewicz, S. T. Dyhrman, S. Ferr\u00f3n, M. J. Follows, R. K. Foreman, C. P. Funkey, M. J. Harke, B. A. Henke, C. N. Hill, A. M. Hynes, A. E. Ingalls, O. Jahn, R. L. Kelly, A. N. Knapp, R. M. Letelier, F. Ribalet, E. M. Shimabukuro, R. K. S. Tabata, K. A. Turk-Kubo, A. E. White, J. P. Zehr, S. John, and D. M. Karl. 2019. K\u012blauea lava fuels phytoplankton bloom in the North Pacific Ocean. Science 365: 1040-1044, doi:10.1126/science.aax4767."]}
DOI: 10.6073/pasta/d0b996c7563a441ad2aeaf60ca8752bd
title: Ice cover data for Falling Creek Reservoir, Vinton, Virginia, USA for 2013-2021

description: Ice cover was recorded at Falling Creek Reservoir (Vinton, Virginia, USA) using multiple methods in 2013-2021. Falling Creek Reservoir is owned and operated by the Western Virginia Water Authority as a primary drinking water source for Roanoke, Virginia, and is one of the southernmost waterbodies in the United States that exhibits ice cover during the winter. Given incipient climate change, Falling Creek Reservoir's ice cover data represent an important record of warming for waterbodies in the southeastern United States. Ice cover presence was assessed using multiple methods: visual observation of ice spanning the deep hole (from an observer standing on the reservoir's dam); water temperature data from a profile of sensors deployed at the reservoir's deepest site; upwelling shortwave radiation and albedo measured by a meteorological station deployed on a metal structure located over the reservoir's deep hole; and dissolved oxygen sensors deployed at multiple depths at the deep hole.
DOI: 10.25919/fejc-ap72
title: Parkes observations for project P1056 semester 2020OCTS_06

description: MeerTRAP is a project that performs real-time, commensal searches for fast radio transients using the MeerKAT telescope in South Africa. It has thus far led to the discovery of five new Galactic fast radio transients, most likely Rotating Radio Transient pulsars (RRATs), with modest amounts of time on sky and we expect to discover many more. We have already carried out successful observations of one of these sources with the Parkes UWL receiver (P1056), thus proving its utility in follow-up timing observations of MeerTRAP discoveries. We therefore request search-mode observations of all five sources aswell as provision for another five that we expect to discover before the start of the 2020OCT semester. The Parkes observations will be essential for determining their timing properties, such their as periods and period derivatives, and will elucidate the nature of these sources through their polarisation, emission and spectral properties across the wide bandwidth of the UWLreceiver. This will allow us to identify their place among the known pulsar population and will be highly valuable input to understand the extent of the RRAT population and pulsar emission behaviour.
DOI: 10.25387/g3.14025080
title: Supplemental Material for Hunsaker, Yu, and Franz, 2021

description: File S1 contains supplemental Materials and Methods describing the RNA isolation, preparation of libraries for sequencing, methods for processing RNA-seq data, methods for ICP-MS measurements, and Figures S1, S2 and Table S1. Full gene lists with log fold changes and <i>P</i> values for all conditions and timepoints are provided in File S2, tables of all the significant DEGs at each timepoint and their designated clusters are provided in File S3, results from the GO and KEGG enrichment tests for all clusters at all timepoints are provided in File S4 and File S5, respectively, definitions of GO Trim categories are in File S6, and full GO Trim enrichment data is available in<b> </b>File S7.
DOI: 10.25387/g3.14025080.v1
title: Supplemental Material for Hunsaker, Yu, and Franz, 2021

description: File S1 contains supplemental Materials and Methods describing the RNA isolation, preparation of libraries for sequencing, methods for processing RNA-seq data, methods for ICP-MS measurements, and Figures S1, S2 and Table S1. Full gene lists with log fold changes and <i>P</i> values for all conditions and timepoints are provided in File S2, tables of all the significant DEGs at each timepoint and their designated clusters are provided in File S3, results from the GO and KEGG enrichment tests for all clusters at all timepoints are provided in File S4 and File S5, respectively, definitions of GO Trim categories are in File S6, and full GO Trim enrichment data is available in<b> </b>File S7.
DOI: 10.5517/ccdc.csd.cc1p51hd
title: CCDC 1553983: Experimental Crystal Structure Determination

description: Related Article: Yasser Hussein issa Mohammed|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1q8k6r
title: CCDC 1587144: Experimental Crystal Structure Determination

description: Related Article: Debabrata Dhara, Volker Huch, David Scheschkewitz, Anukul Jana|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1q8k7s
title: CCDC 1587145: Experimental Crystal Structure Determination

description: Related Article: Debabrata Dhara, Volker Huch, David Scheschkewitz, Anukul Jana|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1yx6fh
title: CCDC 1814567: Experimental Crystal Structure Determination

description: Related Article: Amiri Nesrine, Habib Nasri|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zy0kh
title: CCDC 1845137: Experimental Crystal Structure Determination

description: Related Article: Tamilarasan B and Sangeetha V|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc20rpvb
title: CCDC 1869822: Experimental Crystal Structure Determination

description: Related Article: Huang fei|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc20vfmy
title: CCDC 1872450: Experimental Crystal Structure Determination

description: Related Article: Birthe Sandargo, Benjarong Thongbai, Dimas Praditya, Volker Huch, Eike Steinmann, Marc Stadler, Frank Surup|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21l482
title: CCDC 1894263: Experimental Crystal Structure Determination

description: Related Article: Chengdong Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21l4f7
title: CCDC 1894268: Experimental Crystal Structure Determination

description: Related Article: Chengdong Peng|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc215hg6
title: CCDC 1882117: Experimental Crystal Structure Determination

description: Related Article: Suvendu  Maity|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc227d5x
title: CCDC 1913728: Experimental Crystal Structure Determination

description: Related Article: Allan Patrick G. Macabeo, Allaine Jean C. Cruza, Abolfazl Narmanib, Mahdi Arzanlouc, Asadollah Babai-Aharic, Luis Agustin E. Pilapila, Katherine Yasmin M. Garciaa, Volker Huch, Marc Stadler|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22945q
title: CCDC 1915402: Experimental Crystal Structure Determination

description: Related Article: Akinobu Sumiyoshi, Yusuke Chiba, Ryota Matsuoka, Takumu Noda, Tatsuya Nabeshima|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22cktv
title: CCDC 1917747: Experimental Crystal Structure Determination

description: Related Article: N. A. Semenov, E. A. Radiush, E. A. Chulanova, A. M. Z. Slawin, J. D. Woollins, E. M. Kadilenko, I. Yu. Bagryanskaya, I. G. Irtegova, A. S. Bogomyakov, L. A. Shindrin, N. P. Gritsan, A. V. Zibarev|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22cxbq
title: CCDC 1918073: Experimental Crystal Structure Determination

description: Related Article: I.S. Veselova, P.А. Storozhenko, А.А. Grachev, А.А. Korlyukov, А.D. Volodin, Е.Yu. Rybalkina, А.К. Shestakova, V.I. Shiryaev|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22ys0v
title: CCDC 1935237: Experimental Crystal Structure Determination

description: Related Article: Obaiah Pandeeti, Sathish Kumar, Pradeepta Panda|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22zjsd
title: CCDC 1935974: Experimental Crystal Structure Determination

description: Related Article: Anna Mary Benedetti, Louise Male, Alan Jones|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22zpc4
title: CCDC 1936116: Experimental Crystal Structure Determination

description: Related Article: Anna Mary Benedetti, Louise Male, Alan Jones|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2328bt
title: CCDC 1938595: Experimental Crystal Structure Determination

description: Related Article: Jie Zhang and Bula Cao|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23367p
title: CCDC 1939491: Experimental Crystal Structure Determination

description: Related Article: HEMANTA DEKA|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc237k53
title: CCDC 1943674: Experimental Crystal Structure Determination

description: Related Article: Zifeng Zhao, Liding Wang, Ge Zhan, Zhiwei Liu, Zuqiang Bian, Chunhui Huang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23f38y
title: CCDC 1949009: Experimental Crystal Structure Determination

description: Related Article: Sara Durini, Peter Lönnecke, Evamarie Hey-Hawkins|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23gb86
title: CCDC 1950187: Experimental Crystal Structure Determination

description: Related Article: Saqib Kamal|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc240mkc
title: CCDC 1966812: Experimental Crystal Structure Determination

description: Related Article: Jacob A. Smith, Diane A. Dickie, W. Dean Harman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2461dt
title: CCDC 1972015: Experimental Crystal Structure Determination

description: Related Article: Kai Guo|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2470s6
title: CCDC 1972957: Experimental Crystal Structure Determination

description: Related Article: Kai Guo|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hytg
title: CCDC 2011336: Experimental Crystal Structure Determination

description: Related Article: Degang Ding, Zhijing Liu, Heli Zhang, Jun Xu, Xuehui Hou, Jinsong Wu|2021|Inorg.Chim.Acta|519|120281|doi:10.1016/j.ica.2021.120281
DOI: 10.5517/ccdc.csd.cc25lrbw
title: CCDC 2014018: Experimental Crystal Structure Determination

description: Related Article: Jing Wang, Shuping Xu, Aisen Li, Lei Chen, Weiqing Xu and Hongyu Zhang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc218k85
title: CCDC 1885056: Experimental Crystal Structure Determination

description: Related Article: Younghun Kim, Philjae Kang, Yonggoon Jeon, Hyeon Mo Cho, Moon‐Gun Choi|2020|Bull.Korean Chem.Soc.|42|240|doi:10.1002/bkcs.12182
DOI: 10.5517/ccdc.csd.cc218k96
title: CCDC 1885057: Experimental Crystal Structure Determination

description: Related Article: Younghun Kim, Philjae Kang, Yonggoon Jeon, Hyeon Mo Cho, Moon‐Gun Choi|2020|Bull.Korean Chem.Soc.|42|240|doi:10.1002/bkcs.12182
DOI: 10.5517/ccdc.csd.cc218kb7
title: CCDC 1885058: Experimental Crystal Structure Determination

description: Related Article: Younghun Kim, Philjae Kang, Yonggoon Jeon, Hyeon Mo Cho, Moon‐Gun Choi|2020|Bull.Korean Chem.Soc.|42|240|doi:10.1002/bkcs.12182
DOI: 10.17632/kp5jhf79z3.2
title: ECR endometrioma

description: Ovarian function after the use of various hemostatic techniques during treatment for endometrioma: A Randomised Controlled Trial
DOI: 10.17632/86ycd79h3r.1
title: Individual Differences in Memory Disruption Caused by Cellphone Notifications
DOI: 10.17632/xbvbkj5dtm.2
title: CRITICAL LATERAL TORSIONAL BUCKLING UNDER INTERMEDIATE MOMENT & REVISED LOADS

description: In excel file 1- Moment factor diagrams 2- MSE and correlation factor charts MATHEMATICA files to review the work, the outputs are also printed in PDF format
DOI: 10.17632/x64srrc39p.4
title: Dataset on cadaveric human abdominal aorta aneurysm biomechanics (uniaxial) and histology

description: The present dataset is a collection of information about the biomechanical behavior and histological characterization of abdominal aortic aneurysms (AAA) harvested during the autopsy procedure. The primary hypothesis of the present research is: Do cadaveric AAA walls, when previously stressed by inflation, conserve significant resistance against tearing comparable to no previously stressed aortas described in the literature? Eight AAAs (6 fusiform and two saccular) were carefully dissected and had their branches ligated with cotton or prolene sutures. Each specimen has been submitted to intraluminal pressurization, up to the rupture of their wall. This pressurization was made through the inflation of an air balloon inside the specimens up to their rupture. Four samples were collected from each specimen (two from each side of the rupture border and two control samples, one from a proximal and a second from a distal no dilated region of the vessel) for uniaxial tensile tests and histological analysis. The uniaxial tensile test utilized the INSTRON SPEC 2200 device and was coordinated by INSPEC software and SERIES IX software. The variables measured through this test were failure stress, failure tension, and failure strain. Each sample test generated a chart representing the relationship between stress and strain. The histological analysis included Picrosirius (collagen fibers) and Voerhoeff (elastic fibers) stains. Unfortunately, some samples were lost, especially during histological processing. A quantitative analysis (collagen and elastic fibers) was made using the software Pannoramic Viewer/Case Viewer.1 Notable findings: Even after being stretched/stressed up to their rupture, the specimens conserved uniaxial biomechanical properties comparable to AAA and normal aorta samples previously described in the literature by Monteiro e Nynomiya respectively.2,3 DATA DESCRIPTION: a) Biomechanical Data: For each valid sample test, three documents are generated: 1. Stress X strain chart 2. Table (excel file containing all the values related to the stress X strain chart 3. A report from the Biomechanical test software containing details of the test All charts contain a notification in their left upper corner about the failure stress, strain and tension of each sample. It is important to highlight here that some samples did not produce valid biomechanical tests, so they do not have their results included here. b) Histological Data: The percentage of coverage of collagen fibers and elastin fibers is expressed in table I in decimal numbers (for example, 0.36 = 36%). Similarly to the sampling for biomechanical tests, four samples were harvested from each aorta, when it was feasible. Each case has a "histology files" folder containing the images (.JPG) used for the analysis. Ps.: Case C samples (histology) were damaged during processing (therefore they were not included in the present dataset).