cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5682980
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 13

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 13 contains stitched image montages of a thin section through the lung of patient C03 which were acquired by scanning electron microscopy. The file “Data_set_13.tif” contains a montage of the entire thin section while the other files contain selected areas of the section recorded at higher resolution.
DOI: 10.5281/zenodo.5682979
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 13

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 13 contains stitched image montages of a thin section through the lung of patient C03 which were acquired by scanning electron microscopy. The file “Data_set_13.tif” contains a montage of the entire thin section while the other files contain selected areas of the section recorded at higher resolution.
DOI: 10.5281/zenodo.6653286
title: SciExpeM - 10.5281/zenodo.6653286

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653285
title: SciExpeM - 10.5281/zenodo.6653286

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653187
title: 316L L-PBF fatigue dataset

description: This file contains 316L Laser Powder Bed Fusion fatigue tests dataset. Experiments were carried on a MTS Landmark 100 kN servohydraulic fatigue test machine. This experimental campaign took place in the context of a PhD grant from the French region Pays de la Loire (see https://pastel.archives-ouvertes.fr/tel-03688021 for the thesis manuscript). Fatigue tests were carried : - in air or in salt-spray - on different batches (polished, pre-corroded, with artificial defects,...) - at R=-1 and R=0.1
description: PhD grant from the French region Pays de la Loire
DOI: 10.5281/zenodo.6653186
title: 316L L-PBF fatigue dataset

description: This file contains 316L Laser Powder Bed Fusion fatigue tests dataset. Experiments were carried on a MTS Landmark 100 kN servohydraulic fatigue test machine. This experimental campaign took place in the context of a PhD grant from the French region Pays de la Loire (see https://pastel.archives-ouvertes.fr/tel-03688021 for the thesis manuscript). Fatigue tests were carried : - in air or in salt-spray - on different batches (polished, pre-corroded, with artificial defects,...) - at R=-1 and R=0.1
description: PhD grant from the French region Pays de la Loire
DOI: 10.5281/zenodo.5682881
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 12

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 12 contains stitched image montages of thin sections (selected areas) through the lung of patients C04 and C07 which were acquired by scanning electron microscopy. The images show alveolae with various degree of epithelial damage.
DOI: 10.5281/zenodo.5682880
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 12

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 12 contains stitched image montages of thin sections (selected areas) through the lung of patients C04 and C07 which were acquired by scanning electron microscopy. The images show alveolae with various degree of epithelial damage.
DOI: 10.5281/zenodo.5682850
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 11

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 11 contains a stitched image montage of a thin section (selected area) through the lung of patient C05 which was acquired by scanning electron microscopy. The image shows a lung area with a dissolved alveolar architecture and a massive type-2-cell hyperplasia.
DOI: 10.5281/zenodo.5682849
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 11

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 11 contains a stitched image montage of a thin section (selected area) through the lung of patient C05 which was acquired by scanning electron microscopy. The image shows a lung area with a dissolved alveolar architecture and a massive type-2-cell hyperplasia.
DOI: 10.5281/zenodo.5682815
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 10

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 10 contains stitched image montages of thin sections (selected areas) through the lung of patient C08 which were acquired by transmission electron microscopy. Cells, infected with SARS-CoV-2 particles, are shown in overview (A, C) and detail (B, C).
DOI: 10.5281/zenodo.5682814
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 10

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 10 contains stitched image montages of thin sections (selected areas) through the lung of patient C08 which were acquired by transmission electron microscopy. Cells, infected with SARS-CoV-2 particles, are shown in overview (A, C) and detail (B, C).
DOI: 10.5281/zenodo.5682744
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 09

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 09 contains stitched image montages of thin sections (selected areas) through the lung of patient C03 which were acquired by scanning electron microscopy (C03_A & C) or transmission electron microscopy (C03_B). The images show accumulation of cells and debris in the alveolar cavity.
DOI: 10.5281/zenodo.5682743
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 09

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 09 contains stitched image montages of thin sections (selected areas) through the lung of patient C03 which were acquired by scanning electron microscopy (C03_A & C) or transmission electron microscopy (C03_B). The images show accumulation of cells and debris in the alveolar cavity.
DOI: 10.5281/zenodo.6642461
title: Bag of pitch classes for Japanese enka songs

description: This dataset is comprised of 827 songs, curated from the following publications: (a) Y. Goto (ed.), Grand Collection of Enka Songs by Female Singers 5th Ed. (in Japanese), Zen-on Music Co., 2016.<br> (b) Y. Goto (ed.), Grand Collection of Enka Songs by Male Singers 5th Ed. (in Japanese), Zen-on Music Co., 2016. Upon the use of this work, we kindly ask to explicitly cite/mention this paper, where the dataset was first used: [1] Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, “Unsupervised melody style conversion,” Proc. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 196-200, May 2019. ** Data ** EnkaDataBagOfPitchClasses.tsv Each line represents a song. The first column indicates the song's location in the publications. For example, EnkaF-030_p027 indicates the 30th song on page 27 by a female artist in (a). From the second column to the 13th column, the numbers represent the counts for pitch classes from C to B. Tied notes were merged and counted only once.
description: {"references": ["Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, \"Unsupervised melody style conversion,\" Proc. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 196-200, May 2019."]}
DOI: 10.5281/zenodo.6642460
title: Bag of pitch classes for Japanese enka songs

description: This dataset is comprised of 827 songs, curated from the following publications: (a) Y. Goto (ed.), Grand Collection of Enka Songs by Female Singers 5th Ed. (in Japanese), Zen-on Music Co., 2016.<br> (b) Y. Goto (ed.), Grand Collection of Enka Songs by Male Singers 5th Ed. (in Japanese), Zen-on Music Co., 2016. Upon the use of this work, we kindly ask to explicitly cite/mention this paper, where the dataset was first used: [1] Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, “Unsupervised melody style conversion,” Proc. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 196-200, May 2019. ** Data ** EnkaDataBagOfPitchClasses.tsv Each line represents a song. The first column indicates the song's location in the publications. For example, EnkaF-030_p027 indicates the 30th song on page 27 by a female artist in (a). From the second column to the 13th column, the numbers represent the counts for pitch classes from C to B. Tied notes were merged and counted only once.
description: {"references": ["Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, \"Unsupervised melody style conversion,\" Proc. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 196-200, May 2019."]}
DOI: 10.6084/m9.figshare.20080805
title: Pazzola et al. jds.2022-22098 Supplemental Tables.pdf

description: Pazzola et al. jds.2022-22098 Supplemental Tables
DOI: 10.6084/m9.figshare.20080805.v1
title: Pazzola et al. jds.2022-22098 Supplemental Tables.pdf

description: Pazzola et al. jds.2022-22098 Supplemental Tables
DOI: 10.5281/zenodo.5682693
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 08

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 08 contains stitched image montages of thin sections (selected areas) through the lung of patients C04 and C08 which were acquired by scanning electron microscopy (C04) or transmission electron microscopy (C08_A & B). The images show the pathological changes of the alveolar epithelium: Type-1-cells detachment from the basal membrane (C08_A & B) and type-2-cell hyperplasia (C04).
DOI: 10.5281/zenodo.5682692
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 08

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 08 contains stitched image montages of thin sections (selected areas) through the lung of patients C04 and C08 which were acquired by scanning electron microscopy (C04) or transmission electron microscopy (C08_A & B). The images show the pathological changes of the alveolar epithelium: Type-1-cells detachment from the basal membrane (C08_A & B) and type-2-cell hyperplasia (C04).
DOI: 10.5281/zenodo.5682578
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 06

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 06 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C08, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.5682577
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 06

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 06 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C08, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.5682656
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 07

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 07 contains stitched image montages of thin sections (selected areas) through the lung of patients C04 to C06 which were acquired by scanning electron microscopy. The images show alveolae with different degree of structural modification: Intact alveolar septum (C06); alveolar septum with detached alveolar epithelium (C04); dissolved alveolar organization (C05).
DOI: 10.5281/zenodo.5682655
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 07

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 07 contains stitched image montages of thin sections (selected areas) through the lung of patients C04 to C06 which were acquired by scanning electron microscopy. The images show alveolae with different degree of structural modification: Intact alveolar septum (C06); alveolar septum with detached alveolar epithelium (C04); dissolved alveolar organization (C05).
DOI: 10.5281/zenodo.6653354
title: SciExpeM - 10.5281/zenodo.6653354

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653353
title: SciExpeM - 10.5281/zenodo.6653354

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.5682286
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 05

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 05 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C07, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.5682285
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 05

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 05 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C07, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.6653356
title: SciExpeM - 10.5281/zenodo.6653356

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653355
title: SciExpeM - 10.5281/zenodo.6653356

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653358
title: SciExpeM - 10.5281/zenodo.6653358

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.5682238
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 04

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 04 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C06, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.6653357
title: SciExpeM - 10.5281/zenodo.6653358

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.5682237
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 04

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 04 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C06, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.6653362
title: SciExpeM - 10.5281/zenodo.6653362

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653361
title: SciExpeM - 10.5281/zenodo.6653362

description: Wang, Shixing; Wang, Zhihua; He, Yong; Han, Xinlu; Sun, Zhiwei, 0000-0001-7899-9676; Zhu, Yanqun; Costa, Mario, 0000-0002-3118-2762 - Fuel, 2020, (259), 116152
DOI: 10.5281/zenodo.6653364
title: SciExpeM - 10.5281/zenodo.6653364

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883
DOI: 10.5281/zenodo.5682214
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 03

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 03 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C05, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.5682213
title: A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 03

description: We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 doi.org/10.1007/s00428-020-02934-1) by using thin section electron microscopy (Cortese et al. 2022 doi.org/10.1007/s00428-022-03308-5). A detailed description of the methods and the data set is provided in the download container. Data set 03 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C05, which was acquired by bright-field light microscopy.
DOI: 10.5281/zenodo.6653363
title: SciExpeM - 10.5281/zenodo.6653364

description: Hu, Xianzhong, 0000-0003-0248-2499; Yu, Qingbo - Energy, 2018, (147), 876-883