cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14038724
title: Supplementary Material for: Pulmonary Gas Exchange Improves over the First Year in Preterm Infants with and without Bronchopulmonary Dysplasia

description: <b><i>Background:</i></b> Right shift of the peripheral oxyhaemoglobin saturation (SpO<sub>2</sub>) versus inspired oxygen pressure (P<sub>I</sub>O<sub>2</sub>) curve is a sensitive marker of pulmonary gas exchange. <b><i>Objectives:</i></b> The aim of this study was to assess the impact of prematurity and bronchopulmonary dysplasia (BPD) on gas exchange and right-to-left shunt in the neonatal period, and its evolution over the first year of life. <b><i>Method:</i></b> We assessed shift and shunt in extremely preterm (EP) and very preterm (VP) infants at 36 and 44 weeks’ postmenstrual age (PMA), and at 1-year corrected postnatal age (cPNA). P<sub>I</sub>O<sub>2</sub> was decreased stepwise to achieve SpO<sub>2</sub> between 85 and 98%. Shift and shunt were calculated from paired SpO<sub>2</sub>/P<sub>I</sub>O<sub>2</sub> measurements using customized software. Results were examined cross-sectionally at each time point, and longitudinally using generalized linear regression. Term infants were assessed at 44 wk PMA as a comparative reference. <b><i>Results:</i></b> Longitudinal modelling showed continuous decline in shift in EP and VP infants during the first year of life. There was no difference in shift compared to term infants at 44 wk PMA (<i>p</i> = 0.094). EP infants with BPD had higher shift than infants without BPD at 36 wk PMA (<i>p</i> &lt; 0.001) and 44 wk PMA (<i>p</i> = 0.005) but not at 1-year cPNA. <b><i>Conclusions:</i></b> In the absence of lung disease, prematurity per se did not result in reduced gas exchange at 1-year cPNA. We report ongoing, significant improvements in pulmonary gas exchange in all preterm infants during the first year of life, despite evidence of early deficits in gas exchange in EP infants with BPD.
DOI: 10.6084/m9.figshare.14038724.v1
title: Supplementary Material for: Pulmonary Gas Exchange Improves over the First Year in Preterm Infants with and without Bronchopulmonary Dysplasia

description: <b><i>Background:</i></b> Right shift of the peripheral oxyhaemoglobin saturation (SpO<sub>2</sub>) versus inspired oxygen pressure (P<sub>I</sub>O<sub>2</sub>) curve is a sensitive marker of pulmonary gas exchange. <b><i>Objectives:</i></b> The aim of this study was to assess the impact of prematurity and bronchopulmonary dysplasia (BPD) on gas exchange and right-to-left shunt in the neonatal period, and its evolution over the first year of life. <b><i>Method:</i></b> We assessed shift and shunt in extremely preterm (EP) and very preterm (VP) infants at 36 and 44 weeks’ postmenstrual age (PMA), and at 1-year corrected postnatal age (cPNA). P<sub>I</sub>O<sub>2</sub> was decreased stepwise to achieve SpO<sub>2</sub> between 85 and 98%. Shift and shunt were calculated from paired SpO<sub>2</sub>/P<sub>I</sub>O<sub>2</sub> measurements using customized software. Results were examined cross-sectionally at each time point, and longitudinally using generalized linear regression. Term infants were assessed at 44 wk PMA as a comparative reference. <b><i>Results:</i></b> Longitudinal modelling showed continuous decline in shift in EP and VP infants during the first year of life. There was no difference in shift compared to term infants at 44 wk PMA (<i>p</i> = 0.094). EP infants with BPD had higher shift than infants without BPD at 36 wk PMA (<i>p</i> &lt; 0.001) and 44 wk PMA (<i>p</i> = 0.005) but not at 1-year cPNA. <b><i>Conclusions:</i></b> In the absence of lung disease, prematurity per se did not result in reduced gas exchange at 1-year cPNA. We report ongoing, significant improvements in pulmonary gas exchange in all preterm infants during the first year of life, despite evidence of early deficits in gas exchange in EP infants with BPD.
DOI: 10.5281/zenodo.4541595
title: Data used in 'An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models' by Ann Keen et al.

description: Data and processing code used in 'An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models' by Ann Keen, Ed Blockley, David A. Bailey, Jens Boldingh Debernard, Mitchell Bushuk, Steve Delhaye, David Docquier, Daniel Feltham, François Massonnet, Siobhan O’Farrell, Leandro Ponsoni, José M. Rodriguez, David Schroeder, Neil Swart, Takahiro Toyoda, Hiroyuki Tsujino, Martin Vancoppenolle, and Klaus Wyser, to be published in The Cryosphere, 2021.
DOI: 10.5281/zenodo.4541594
title: Data used in 'An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models' by Ann Keen et al.

description: Data and processing code used in 'An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models' by Ann Keen, Ed Blockley, David A. Bailey, Jens Boldingh Debernard, Mitchell Bushuk, Steve Delhaye, David Docquier, Daniel Feltham, François Massonnet, Siobhan O’Farrell, Leandro Ponsoni, José M. Rodriguez, David Schroeder, Neil Swart, Takahiro Toyoda, Hiroyuki Tsujino, Martin Vancoppenolle, and Klaus Wyser, to be published in The Cryosphere, 2021.
DOI: 10.5281/zenodo.4541580
title: Code used to produced figures for 'An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models' by Ann Keen et al.

description: Code used to produced figures for 'An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models' by Ann Keen, Ed Blockley, David A. Bailey, Jens Boldingh Debernard, Mitchell Bushuk, Steve Delhaye, David Docquier, Daniel Feltham, François Massonnet, Siobhan O’Farrell, Leandro Ponsoni, José M. Rodriguez, David Schroeder, Neil Swart, Takahiro Toyoda, Hiroyuki Tsujino, Martin Vancoppenolle, and Klaus Wyser, to be published in The Cryosphere, 2021.
DOI: 10.13135/ela-318
title: Honours for Ptolemaios son of Ptolemaios
DOI: 10.20351/29sg20090428
title: FAMOSO-2 Cruise, RV Sarmiento de Gamboa

description: FAMOSO-2 (29SG20090428) carried out on the Research Vessel Sarmiento de Gamboa in 2009
DOI: 10.5281/zenodo.4533887
title: A line trajectory X-ray tomography dataset of a wooden plank

description: <strong>Summary</strong> This submission contains a tomographic dataset of a wooden plank. The data is made available as part of [Bossema et al., 2021]. <strong>Apparatus</strong> The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban 2020]. <strong>Sample Information</strong> The sample is a conifer plank (20mm x 150mm x 230mm).<br> <strong>Experimental<em> </em>Plan</strong> The data in this submission was collected to compare dendrochronological measurements on the reconstructed image using a linear scanning trajectory and a photograph of the transverse section of the plank on the outside (see Figure 6 in [Bossema et al, 2021]). The projections were acquired using 70kV and 30W tube settings. All raw data (i.e. no corrections) is made available in .tif format. <strong>List of Contents</strong> The content of the submission is given below. <strong>continuous_line_panel: </strong>1875 projections This data folder contains: dark-field (or closed-shutter) image, <em>di000000.tif</em>, flat-field (or open-shutter) image before acquisition, <em>io000000.tif</em>, and after acquisition, <em>io000001.tif</em>, raw (unprocessed or uncorrected) projections, <em>scan_*.tif</em>, <em>scan settings.txt</em>, a text file with scanner metadata in more human readable format, and <em>script_executed.txt</em>, the text file containing the list of commands the apparatus has executed. <em>data settings XRE.txt</em>, a text file with scanner metadata, <em>Acquisition settings XRE, </em>a text file with scanner metadata. <strong>Additional Links</strong> These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page. <strong>Contact Details</strong> For more information or guidance in using these datasets, please get in touch with bossema [at] cwi.nl <strong>Acknowledgments</strong> The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).
description: {"references": ["Francien G. Bossema, Marta Dom\u00ednguez-Delm\u00e1s, Willem Jan Palenstijn, Alexander Kostenko, Jan Dorscheid, Sophia Bethany Coban, Erma Hermens and K. Joost Batenburg, Line trajectory X-ray tomography: a novel method for dendrochronology of large historical wooden objects, Nat. Sci. Rep., 2021 [submitted]", "S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, Explorative imaging and its implementation at the FleX-ray Laboratory, J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018."]}
DOI: 10.5281/zenodo.4533886
title: A line trajectory X-ray tomography dataset of a wooden plank

description: <strong>Summary</strong> This submission contains a tomographic dataset of a wooden plank. The data is made available as part of [Bossema et al., 2021]. <strong>Apparatus</strong> The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban 2020]. <strong>Sample Information</strong> The sample is a conifer plank (20mm x 150mm x 230mm).<br> <strong>Experimental<em> </em>Plan</strong> The data in this submission was collected to compare dendrochronological measurements on the reconstructed image using a linear scanning trajectory and a photograph of the transverse section of the plank on the outside (see Figure 6 in [Bossema et al, 2021]). The projections were acquired using 70kV and 30W tube settings. All raw data (i.e. no corrections) is made available in .tif format. <strong>List of Contents</strong> The content of the submission is given below. <strong>continuous_line_panel: </strong>1875 projections This data folder contains: dark-field (or closed-shutter) image, <em>di000000.tif</em>, flat-field (or open-shutter) image before acquisition, <em>io000000.tif</em>, and after acquisition, <em>io000001.tif</em>, raw (unprocessed or uncorrected) projections, <em>scan_*.tif</em>, <em>scan settings.txt</em>, a text file with scanner metadata in more human readable format, and <em>script_executed.txt</em>, the text file containing the list of commands the apparatus has executed. <em>data settings XRE.txt</em>, a text file with scanner metadata, <em>Acquisition settings XRE, </em>a text file with scanner metadata. <strong>Additional Links</strong> These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page. <strong>Contact Details</strong> For more information or guidance in using these datasets, please get in touch with bossema [at] cwi.nl <strong>Acknowledgments</strong> The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).
description: {"references": ["Francien G. Bossema, Marta Dom\u00ednguez-Delm\u00e1s, Willem Jan Palenstijn, Alexander Kostenko, Jan Dorscheid, Sophia Bethany Coban, Erma Hermens and K. Joost Batenburg, Line trajectory X-ray tomography: a novel method for dendrochronology of large historical wooden objects, Nat. Sci. Rep., 2021 [submitted]", "S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, Explorative imaging and its implementation at the FleX-ray Laboratory, J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018."]}
DOI: 10.6084/m9.figshare.14038745
title: data_cohort_Figshare.xlsx

description: mRNA expression of PRPF8 in HCC samples and clinical data
DOI: 10.6084/m9.figshare.14038745.v1
title: data_cohort_Figshare.xlsx

description: mRNA expression of PRPF8 in HCC samples and clinical data
DOI: 10.5281/zenodo.4533882
title: A CT dataset of a small wooden block

description: <strong>Summary</strong> This submission contains a tomographic dataset of a small wooden block. The data is made available as part of [Bossema et al., 2021]. <strong>Apparatus</strong> The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban 2020]. <strong>Sample Information</strong> The sample is small wooden block of conifer wood (10x12x3cm).<br> <strong>Experimental Plan</strong> The data in this submission was collected to compare CT reconstructions to reconstructions obtained using a line trajectory (LT) scanning method (see Zenodo dataset 10.5281/zenodo.4541555) (see Figure 5 in [Bossema et al, 2021]). The dataset consists of a CT dataset containing 2915 projections. All raw data (i.e. no corrections) is made available in .tif format. <strong>List of Contents</strong> The content of the submission is given below. <strong>CT_flat: </strong>2915 projections Each data folder contains: dark-field (or closed-shutter) image, <em>di000000.tif</em>, flat-field (or open-shutter) image before acquisition, <em>io000000.tif</em>, and after acquisition, <em>io000001.tif</em>, raw (unprocessed or uncorrected) projections, <em>scan_*.tif</em>, <em>scan settings.txt</em>, a text file with scanner metadata in more human readable format, and <em>script_executed.txt</em>, the text file containing the list of commands the apparatus has executed. <strong>Additional Links</strong> These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page. <strong>Contact Details</strong> For more information or guidance in using these datasets, please get in touch with bossema [at] cwi.nl <strong>Acknowledgments</strong> The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).
description: {"references": ["Francien G.Bossema, Marta Dom\u00ednguez-Delm\u00e1s, Willem Jan Palenstijn, Alexander Kostenko, Jan Dorscheid, Sophia Bethany Coban, Erma Hermens and K. Joost Batenburg, Line trajectory X-ray tomography: a novel method for dendrochronology of large historical wooden objects, Nat. Sci. Rep., 2021 [submitted]", "S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, Explorative imaging and its implementation at the FleX-ray Laboratory, J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018."]}
DOI: 10.5281/zenodo.4533881
title: A CT dataset of a small wooden block

description: <strong>Summary</strong> This submission contains a tomographic dataset of a small wooden block. The data is made available as part of [Bossema et al., 2021]. <strong>Apparatus</strong> The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban 2020]. <strong>Sample Information</strong> The sample is small wooden block of conifer wood (10x12x3cm).<br> <strong>Experimental Plan</strong> The data in this submission was collected to compare CT reconstructions to reconstructions obtained using a line trajectory (LT) scanning method (see Zenodo dataset 10.5281/zenodo.4541555) (see Figure 5 in [Bossema et al, 2021]). The dataset consists of a CT dataset containing 2915 projections. All raw data (i.e. no corrections) is made available in .tif format. <strong>List of Contents</strong> The content of the submission is given below. <strong>CT_flat: </strong>2915 projections Each data folder contains: dark-field (or closed-shutter) image, <em>di000000.tif</em>, flat-field (or open-shutter) image before acquisition, <em>io000000.tif</em>, and after acquisition, <em>io000001.tif</em>, raw (unprocessed or uncorrected) projections, <em>scan_*.tif</em>, <em>scan settings.txt</em>, a text file with scanner metadata in more human readable format, and <em>script_executed.txt</em>, the text file containing the list of commands the apparatus has executed. <strong>Additional Links</strong> These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page. <strong>Contact Details</strong> For more information or guidance in using these datasets, please get in touch with bossema [at] cwi.nl <strong>Acknowledgments</strong> The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).
description: {"references": ["Francien G.Bossema, Marta Dom\u00ednguez-Delm\u00e1s, Willem Jan Palenstijn, Alexander Kostenko, Jan Dorscheid, Sophia Bethany Coban, Erma Hermens and K. Joost Batenburg, Line trajectory X-ray tomography: a novel method for dendrochronology of large historical wooden objects, Nat. Sci. Rep., 2021 [submitted]", "S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, Explorative imaging and its implementation at the FleX-ray Laboratory, J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018."]}
DOI: 10.23729/2b2801e7-2a4e-4de3-bfcd-f8ccaa9d6abf
title: 3D Food preview

description: The imaged samples were protein- and dietary fibre-rich snack products produced by extrusion-based 3D printing. The aim of X-ray tomography imaging of these samples was to identify differences in internal structure of snacks made with differing raw material pastes. This data delineates structural changes that might also be perceived during sensory analysis or mechanical measurement of snack products. This study was part of a Business Finland supported project called 3D Surprise – Multilayer food textures by advanced manufacturing technologies (grant number 603/31/2016) and the results have been published in Lille, M., Kortekangas, A., Heiniö, R.-L., Sozer, N., 2020. Structural and Textural Characteristics of 3D-Printed Protein- and Dietary Fibre-Rich Snacks Made of Milk Powder and Wholegrain Rye Flour. Foods. Preview of PAS-dataset https://doi.org/10.23729/abae283b-640c-40a4-9da4-ed339335bd31
DOI: 10.5281/zenodo.4459267
title: Biomimetic biohybrid nanofibers containing Bovine Serum Albumin as a bioactive moiety for wound dressing

description: For the first time, a biohybrid nanofibrous wound dressing is developed via green electrospinning of a blend solution of bovine serum albumin (BSA) (1 and 3 wt.%) and polycaprolactone (PCL). In such a system, the components are miscible and interact through hydrogen bonding between the carbonyl group of PCL and the amine group of BSA, as verified by ATR-FTIR. As a result, the biohybrid nanofibers show a superior elastic modulus and elongation (300% and 58%, respectively) compared with the neat PCL nanofibers. The included protein induces a hydrophilicity effect to the PCL nanofibers, notably at the higher BSA content (3 wt.%). In contrast to the neat nanofibers, the biohybrid ones are bioactive and encourage formation of biominerals (made of amorphous calcium carbonate) on the surface, after immersion in simulated body fluid (SBF). Based on the WST-8 cell viability tests, NIH3T3 fibroblast cells were seen to properly interact with the biohybrid mats and to proliferate in their proximity. SEM images show that the cells largely adhere onto such nanofibers even more than they do on the neat ones and adopt a flattened and stretched shape. In addition, the Live/Dead assay and Phalloidin/DAPI staining assay confirm large cell viability and normal cell morphology on the biohybrid nanofiber mats after 4 days incubation. Taken together, BSA/PCL nanofibers are able to offer optimum mechanical properties (elasticity) as well as mineralization which can potentially stimulate the wound healing process, and can be considered a suitable candidate for wound dressing applications.
DOI: 10.5281/zenodo.4459266
title: Biomimetic biohybrid nanofibers containing Bovine Serum Albumin as a bioactive moiety for wound dressing

description: For the first time, a biohybrid nanofibrous wound dressing is developed via green electrospinning of a blend solution of bovine serum albumin (BSA) (1 and 3 wt.%) and polycaprolactone (PCL). In such a system, the components are miscible and interact through hydrogen bonding between the carbonyl group of PCL and the amine group of BSA, as verified by ATR-FTIR. As a result, the biohybrid nanofibers show a superior elastic modulus and elongation (300% and 58%, respectively) compared with the neat PCL nanofibers. The included protein induces a hydrophilicity effect to the PCL nanofibers, notably at the higher BSA content (3 wt.%). In contrast to the neat nanofibers, the biohybrid ones are bioactive and encourage formation of biominerals (made of amorphous calcium carbonate) on the surface, after immersion in simulated body fluid (SBF). Based on the WST-8 cell viability tests, NIH3T3 fibroblast cells were seen to properly interact with the biohybrid mats and to proliferate in their proximity. SEM images show that the cells largely adhere onto such nanofibers even more than they do on the neat ones and adopt a flattened and stretched shape. In addition, the Live/Dead assay and Phalloidin/DAPI staining assay confirm large cell viability and normal cell morphology on the biohybrid nanofiber mats after 4 days incubation. Taken together, BSA/PCL nanofibers are able to offer optimum mechanical properties (elasticity) as well as mineralization which can potentially stimulate the wound healing process, and can be considered a suitable candidate for wound dressing applications.
DOI: 10.48370/ofd/ps9oaz
title: Skrzyp polny (Equisetum arvense L.), 1978

description: Herbarium
DOI: 10.48370/ofd/ps9oaz/goyj6c
title: HMW_Equisetum_arvense_L_H_1978.tif

description: :unav
DOI: 10.48370/ofd/ozaejd
title: Skrzyp polny (Equisetum arvense L.), 1976

description: Herbarium
DOI: 10.48370/ofd/ozaejd/aar0hs
title: HMW_Equisetum_arvense_L_H_1976.tif

description: :unav
DOI: 10.48370/ofd/o04knf
title: Skrzyp polny (Equisetum arvense L.), 1977

description: Herbarium
DOI: 10.48370/ofd/o04knf/oqn2pr
title: HMW_Equisetum_arvense_L_H_1977.tif

description: :unav
DOI: 10.48370/ofd/5csjzu
title: Skrzyp polny (Equisetum arvense L.), 1718

description: Herbarium
DOI: 10.48370/ofd/5csjzu/0qnbiz
title: HMW_Equisetum_arvense_L_H_1718.tif

description: :unav
DOI: 10.48370/ofd/dtqsxm
title: Skrzyp polny (Equisetum arvense L.), 1774

description: Herbarium
DOI: 10.48370/ofd/dtqsxm/cptzr4
title: HMW_Equisetum_arvense_L_H_1774.tif

description: :unav
DOI: 10.48370/ofd/wvldgg
title: Skrzyp polny (Equisetum arvense L.), 293

description: Herbarium
DOI: 10.48370/ofd/wvldgg/o1gj61
title: HMW_Equisetum_arvense_L_H_0293.tif

description: :unav
DOI: 10.48370/ofd/8klwvz
title: Skrzyp polny (Equisetum arvense L.), 8840

description: Herbarium
DOI: 10.48370/ofd/8klwvz/tmgqxy
title: HMW_Equisetum_arvense_L_H_8840.tif

description: :unav