cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6eecgix/ntysxh
title: relight-1.exe
DOI: 10.25346/s6eecgix/jwvic3
title: qtuiotouchplugin-1.dll
DOI: 10.25346/s6eecgix/qds99e
title: qt_ca-1.qm
DOI: 10.25346/s6eecgix/lfjwv8
title: Qt6Gui-1.dll
DOI: 10.25346/s6eecgix/w5pbzd
title: qt_ru-1.qm
DOI: 10.25346/s6eecgix/qwutms
title: qt_pl-1.qm
DOI: 10.25346/s6eecgix/afcynw
title: qt_lv-1.qm
DOI: 10.25346/s6eecgix/wxclsx
title: qt_zh_CN-1.qm
DOI: 10.25346/s6eecgix/xv1mvd
title: Qt6Network-1.dll
DOI: 10.25346/s6eecgix/p1yt2r
title: qnetworklistmanager-1.dll
DOI: 10.25346/s6eecgix/0kjeys
title: qt_gd-1.qm
DOI: 10.25346/s6eecgix/jko1d7
title: Qt6Core-1.dll
DOI: 10.25346/s6eecgix/rmjown
title: qt_es-1.qm
DOI: 10.25346/s6eecgix/7hdiyh
title: qt_de-1.qm
DOI: 10.25346/s6eecgix/stenje
title: d3dcompiler_47.dll
DOI: 10.25346/s6eecgix/ijfzz3
title: qt_fi.qm
DOI: 10.15468/dl.yquj5a
title: Occurrence Download

description: A dataset containing 3734005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Marchantiophyta"
 ]
}

 The dataset includes 3734005 records from 1797 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006501-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1101/1
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DOI: 10.18419/darus-1101/5
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DOI: 10.18419/darus-1101/6
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DOI: 10.18419/darus-1101/8
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DOI: 10.18419/darus-1101/30
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DOI: 10.18419/darus-1101/38
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DOI: 10.18419/darus-1101/39
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DOI: 10.18419/darus-1101/40
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DOI: 10.6084/m9.figshare.26372842
title: Supplementary Material for: Unbiased Morphometric Assessment of Red Blood Cell Storage Lesion in the Presence of shear-induced Stomatocytes

description: Introduction: Red blood cells (RBCs) undergo progressive biochemical and morphological changes during storage, collectively called storage lesion. The quality of red cell concentrates (RCCs) is typically assessed by quantifying hemolysis. An assessment of morphological changes, associated with low quality RBCs, could give an additional indication of the safety and efficacy of the concentrates. The current standard for determining morphological changes is a manual, laborious and subjectively biased microscopic process that limits the number of cells that can be examined. When using alternative methods like flow cells, flow and shear induced morphologies affecting especially stomatocyte morphologies must be taken into account. We already established an automated flow morphometric RBC analysis system as an alternative to manual microscopic evaluation. The goal of the present work is to obtain a robust, automated, morphology-related signal (lesion index) quantifying RBC storage lesion in a laminar flow channel under conditions similar to stasis that is not affected by shear-induced reversible morphology-changes.
Methods: We use a convolutional neural network (CNN) for high throughput classification of RBCs. We analyzed the morphological changes of 5 RCCs over a period of 12 weeks and classified RBC morphologies, including such that are degradation-induced and reversible. We introduce a lesion index to denote the percentage of irreversible spherical morphologies, known to reduce the post-transfusion survival of erythrocytes. We further addressed shear induced stomatocyte morphologies in laminar flow and whether these affect CNN-based RBC classification.
Results: Our flow morphometry system achieves a high-resolution classification comprising nine morphological classes with an excellent overall accuracy of 92 % and F1-scores between 84 % and 97 %. We generate strong evidence that the morphological lesion index can predict the hemolysis level in RCCs during storage. The power of this new classification technique allowed it, for the first time, to detect and measure the lateral concentration gradient of stomatocytes in a conventional flow chamber. Importantly, we show that reversible shear rate induced morphologies, typical for microfluidic systems, bear no influence on the lesion index. 
Conclusion: Flow morphometry combined with evaluation by a CNN allows to reliably assess RBC storage lesion and thus concentrate quality. Additionally, this method reduces the need for complex laboratory procedures.
DOI: 10.6084/m9.figshare.26372842.v1
title: Supplementary Material for: Unbiased Morphometric Assessment of Red Blood Cell Storage Lesion in the Presence of shear-induced Stomatocytes

description: Introduction: Red blood cells (RBCs) undergo progressive biochemical and morphological changes during storage, collectively called storage lesion. The quality of red cell concentrates (RCCs) is typically assessed by quantifying hemolysis. An assessment of morphological changes, associated with low quality RBCs, could give an additional indication of the safety and efficacy of the concentrates. The current standard for determining morphological changes is a manual, laborious and subjectively biased microscopic process that limits the number of cells that can be examined. When using alternative methods like flow cells, flow and shear induced morphologies affecting especially stomatocyte morphologies must be taken into account. We already established an automated flow morphometric RBC analysis system as an alternative to manual microscopic evaluation. The goal of the present work is to obtain a robust, automated, morphology-related signal (lesion index) quantifying RBC storage lesion in a laminar flow channel under conditions similar to stasis that is not affected by shear-induced reversible morphology-changes.
Methods: We use a convolutional neural network (CNN) for high throughput classification of RBCs. We analyzed the morphological changes of 5 RCCs over a period of 12 weeks and classified RBC morphologies, including such that are degradation-induced and reversible. We introduce a lesion index to denote the percentage of irreversible spherical morphologies, known to reduce the post-transfusion survival of erythrocytes. We further addressed shear induced stomatocyte morphologies in laminar flow and whether these affect CNN-based RBC classification.
Results: Our flow morphometry system achieves a high-resolution classification comprising nine morphological classes with an excellent overall accuracy of 92 % and F1-scores between 84 % and 97 %. We generate strong evidence that the morphological lesion index can predict the hemolysis level in RCCs during storage. The power of this new classification technique allowed it, for the first time, to detect and measure the lateral concentration gradient of stomatocytes in a conventional flow chamber. Importantly, we show that reversible shear rate induced morphologies, typical for microfluidic systems, bear no influence on the lesion index. 
Conclusion: Flow morphometry combined with evaluation by a CNN allows to reliably assess RBC storage lesion and thus concentrate quality. Additionally, this method reduces the need for complex laboratory procedures.
DOI: 10.18419/darus-1101/41
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DOI: 10.18419/darus-1101/42
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description: :unav
DOI: 10.18419/darus-1101/43
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DOI: 10.18419/darus-1101/44
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DOI: 10.18419/darus-1101/45
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description: :unav
DOI: 10.18419/darus-1101/46
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description: :unav
DOI: 10.15468/dl.r47fx5
title: Occurrence Download

description: A dataset containing 1638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is unknown or invalid",
 "OccurrenceStatus is Present",
 "PublishingOrg is 7b8aff00-a9f8-11d8-944b-b8a03c50a862",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 1638 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036257-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1101/47
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DOI: 10.18419/darus-1101/48
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DOI: 10.18419/darus-1101/49
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description: :unav
DOI: 10.18419/darus-1101/50
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DOI: 10.18419/darus-1101/52
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DOI: 10.18419/darus-1101/54
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description: :unav
DOI: 10.18419/darus-1101/55
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description: :unav
DOI: 10.18419/darus-1101/56
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DOI: 10.18419/darus-1101/57
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description: :unav
DOI: 10.18419/darus-1101/58
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description: :unav
DOI: 10.18419/darus-1101/59
title: crmeta.db

description: :unav
DOI: 10.18419/darus-1101/60
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description: :unav
DOI: 10.18419/darus-1101/61
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DOI: 10.18419/darus-1101/62
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DOI: 10.18419/darus-1101/63
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DOI: 10.18419/darus-1101/64
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DOI: 10.18419/darus-1101/65
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DOI: 10.18419/darus-1101/133
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DOI: 10.5281/zenodo.12820041
title: Data for "Dirac-fermion-assisted interfacial superconductivity in epitaxial topological-insulator/iron-chalcogenide heterostructures"
DOI: 10.5281/zenodo.12820042
title: Data for "Dirac-fermion-assisted interfacial superconductivity in epitaxial topological-insulator/iron-chalcogenide heterostructures"
DOI: 10.18419/darus-1101/134
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DOI: 10.18419/darus-1101/179
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DOI: 10.18419/darus-1101/180
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DOI: 10.18419/darus-1101/181
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DOI: 10.18419/darus-1101/186
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DOI: 10.5281/zenodo.12554515
title: Experimental volumetric hydrogen uptake determination at 77 K of commercially available metal-organic framework materials

description: File: carbon-08-00005-with-cover.pdf

This file contains the published paper (PDF) with a cover page.

 

File: carbon-1535765-supplementary.pdf

This file (PDF) contains supporting data on the characterization of MOFs and hydrogen adsorption measurements.
DOI: 10.5281/zenodo.12554516
title: Experimental volumetric hydrogen uptake determination at 77 K of commercially available metal-organic framework materials

description: File: carbon-08-00005-with-cover.pdf

This file contains the published paper (PDF) with a cover page.

 

File: carbon-1535765-supplementary.pdf

This file (PDF) contains supporting data on the characterization of MOFs and hydrogen adsorption measurements.
DOI: 10.18419/darus-1101/187
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DOI: 10.5281/zenodo.12823978
title: AYOLLARGA NISBATAN QO'LLANILADIGAN ZO'RAVONLIKLAR.
DOI: 10.5281/zenodo.12823979
title: AYOLLARGA NISBATAN QO'LLANILADIGAN ZO'RAVONLIKLAR.
DOI: 10.18419/darus-1101/188
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DOI: 10.18419/darus-1101/190
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DOI: 10.5281/zenodo.12822553
title: A study on the influence of cloud droplet concentration on the growth trajectory of hailstone in a hailstorm occurred in semiarid region of China [Data set]
DOI: 10.5281/zenodo.12822554
title: A study on the influence of cloud droplet concentration on the growth trajectory of hailstone in a hailstorm occurred in semiarid region of China [Data set]
DOI: 10.18419/darus-1101/191
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