cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6344059
title: Dataset related to the article "Prevalence and outcome of silent hypoxemia in COVID-19"

description: Dataset related to the article "Prevalence and outcome of silent hypoxemia in COVID-19" <em><strong>Abstract</strong></em> <strong>Background: </strong>In the early stages of COVID-19 pneumonia, hypoxemia has been described in absence of dyspnea ("silent" or "happy" hypoxemia). Our aim was to report its prevalence and outcome in a series of hypoxemic patients upon Emergency Department admission. <strong>Methods: </strong>In this retrospective observational cohort study we enrolled a study population consisting of 213 COVID-19 patients with PaO&lt;inf&gt;2&lt;/inf&gt;/FiO&lt;inf&gt;2&lt;/inf&gt; ratio &lt;300 mmHg at hospital admission. Two groups (silent and dyspneic hypoxemia) were defined. Symptoms, blood gas analysis, chest X-ray (CXR) severity, need for intensive care and outcome were recorded. <strong>Results: </strong>Silent hypoxemic patients (68-31.9%) compared to the dyspneic hypoxemic patients (145-68.1%) showed greater frequency of extra respiratory symptoms (myalgia, diarrhea and nausea) and lower plasmatic LDH. PaO&lt;inf&gt;2&lt;/inf&gt;/FiO&lt;inf&gt;2&lt;/inf&gt; ratio was 225±68 mmHg and 192±78 mmHg in silent and dyspneic hypoxemia respectively (P=0.002). Eighteen percent of the patients with PaO&lt;inf&gt;2&lt;/inf&gt;/FiO&lt;inf&gt;2&lt;/inf&gt; from 50 to 150 mmHg presented silent hypoxemia. Silent and dyspneic hypoxemic patients had similar PaCO&lt;inf&gt;2&lt;/inf&gt; (34.2±6.8 mmHg vs. 33.5±5.7 mmHg, P=0.47) but different respiratory rates (24.6±5.9 bpm vs. 28.6±11.3 bpm respectively, P=0.002). Even when CXR was severely abnormal, 25% of the population was silent hypoxemic. Twenty-six point five percent and 38.6% of silent and dyspneic patients were admitted to the ICU respectively (P=0.082). Mortality rate was 17.6% and 29.7% (log-rank P=0.083) in silent and dyspneic patients. <strong>Conclusions: </strong>Silent hypoxemia is remarkably present in COVID-19. The presence of dyspnea is associated with a more severe clinical condition.
DOI: 10.6084/m9.figshare.19291427.v1
title: Data for "A Hierarchical Shape Description Approach and Its Application in Similarity Measurement of Polygon Entities"

description: This is the experimental data of the paper.
DOI: 10.6084/m9.figshare.19070249
title: Supplementary Material for: Effect of BMI on the thermogenic response to cold exposure and associated changes in metabolism and browning markers in adult humans

description: Introduction. Brown adipose tissue (BAT) serves to produce heat by non-shivering thermogenesis. Activation of BAT increases energy expenditure and is seen as a putative strategy to treat obesity. There is conflicting data on the capacity for cold induced thermogenesis in individuals with higher BMI. Methods. To investigate the effect of BMI on cold-induced stimulation of energy expenditure, changes in the metabolic profile, and the expression of browning markers in subcutaneous white adipose tissue (scWAT), healthy adults (N=173, 50.9 % females) with a median age of 26.0 [Interquartile range (IQR): 23.0;28.0] years and a median BMI of 23.6 [IQR: 21.9;26.6] kg/m² were exposed to short-term mild cold exposure (CE). Resting energy expenditure (REE) was measured by indirect calorimetry and blood sampling was conducted at baseline and after CE. In a subgroup of participants with obesity, subcutaneous abdominal fat biopsies were taken before and after CE. Results. The cold-induced median increase in REE was 74 (IQR: -28; 241) kcal/day (p&lt;0.001). This increase negatively correlated with BMI (p&lt;0.001). Participants with BMI 18.5-24.9 kg/m² displayed a significant median increase of 103 kcal/day (p&lt;0.001), participants with overweight or obesity were not able to increase REE (23, p=0.468 or - 30 kcal/day, p=0.917, respectively). In participants with obesity, expression of Cell death activator (CIDEA) in scWAT after CE was upregulated in females (p=0.034). Conclusions. Persons with overweight and obesity do not increase REE in response to CE, presumably reflecting lower BAT activity. Likewise, the metabolic response to cold is diminished in participants with elevated BMI.
DOI: 10.6084/m9.figshare.19229310
title: Metadata and Summarized results

description: Summary of changes observed in lymphoblasts from ALS patients with mutant SOD1 (mutSOD1) or unknown mutation (undSOD1) and respective controls.<br>Cell lines, antibodies and primers used for mitochondrial profiling of ALS and control lymphoblasts<br>
DOI: 10.6084/m9.figshare.19229310.v1
title: Metadata and Summarized results

description: Summary of changes observed in lymphoblasts from ALS patients with mutant SOD1 (mutSOD1) or unknown mutation (undSOD1) and respective controls.<br>Cell lines, antibodies and primers used for mitochondrial profiling of ALS and control lymphoblasts<br>
DOI: 10.48370/ofd/c5bsdn/zj2dav
title: 506.S3Dm

description: :unav
DOI: 10.48370/ofd/c5bsdn
title: Peniophora cinerea (Pers.) Cooke, 506

description: Fungarium Makromycetes
DOI: 10.5281/zenodo.6344108
title: Mytilisepta virgata decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6344107
title: Mytilisepta virgata decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/3278916
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.48370/ofd/t9st3f/hmpuw4
title: 520_1.S3Dm

description: :unav
DOI: 10.48370/ofd/t9st3f/ri3rs7
title: 520_2.S3Dm

description: :unav
DOI: 10.48370/ofd/t9st3f
title: Peniophora cinerea (Pers.) Cooke, 520

description: Fungarium Makromycetes
DOI: 10.5281/zenodo.6344133
title: Phenganax subtilis decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6344132
title: Phenganax subtilis decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/3278939
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6343366
title: Sentinel-1 SAR Wet snow maps for Southern Norway, 2016-2020

description: Sentinel-1 Synthetic Aperture Radar data have been processed to produce daily maps of wet snow for Southern Norway for the period 2016-2020. This study makes use of the Interferometric-wide (IW) swath mode which has a swath width of 250 km and nominal pixel spacing of 10 m. We use the S1 IW ground-range detected (GRD) product with co- (“VV”) and cross- (“VH”) polarizations, and pixels are aggregated to a spacing of 100 m to reduce noise. The SAR backscatter images have been processed to produce daily wet snow maps using the Nagler and Rott (2016) approach which utilises backscatter from both VV and VH polarizations and a weighting to the contributions is applied to represent an incident angle correction. SAR image pixels are classified by applying a threshold to the difference between the SAR backscatter and its reference value. These reference values are produced for each sensor and geometry by calculating the average radar backscatter per pixel, based on data acquired in the period November 1st - April 30th during which snow condition is assumed to be dry.
description: {"references": ["Nagler, T., Rott, H., Ripper, E., Bippus, G., Hetzenecker, M.: Advancements for Snowmelt Monitoring by Means of Sentinel-1 SAR, Remote Sensing 8, 348. https://doi.org/10.3390/rs8040348, 2016"]}
DOI: 10.5281/zenodo.6343365
title: Sentinel-1 SAR Wet snow maps for Southern Norway, 2016-2020

description: Sentinel-1 Synthetic Aperture Radar data have been processed to produce daily maps of wet snow for Southern Norway for the period 2016-2020. This study makes use of the Interferometric-wide (IW) swath mode which has a swath width of 250 km and nominal pixel spacing of 10 m. We use the S1 IW ground-range detected (GRD) product with co- (“VV”) and cross- (“VH”) polarizations, and pixels are aggregated to a spacing of 100 m to reduce noise. The SAR backscatter images have been processed to produce daily wet snow maps using the Nagler and Rott (2016) approach which utilises backscatter from both VV and VH polarizations and a weighting to the contributions is applied to represent an incident angle correction. SAR image pixels are classified by applying a threshold to the difference between the SAR backscatter and its reference value. These reference values are produced for each sensor and geometry by calculating the average radar backscatter per pixel, based on data acquired in the period November 1st - April 30th during which snow condition is assumed to be dry.
description: {"references": ["Nagler, T., Rott, H., Ripper, E., Bippus, G., Hetzenecker, M.: Advancements for Snowmelt Monitoring by Means of Sentinel-1 SAR, Remote Sensing 8, 348. https://doi.org/10.3390/rs8040348, 2016"]}
DOI: 10.6084/m9.figshare.19336877
title: Ground-1.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology.<br>
DOI: 10.6084/m9.figshare.19336877.v1
title: Ground-1.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology.<br>
DOI: 10.48370/ofd/9xwpkn/4jtgpc
title: 2115.S3Dm

description: :unav
DOI: 10.48370/ofd/9xwpkn
title: Peniophora cinerea (Pers.) Cooke, 2115

description: Fungarium Makromycetes
DOI: 10.6084/m9.figshare.19336991
title: Ground-2.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology.
DOI: 10.6084/m9.figshare.19336991.v1
title: Ground-2.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology.
DOI: 10.5281/zenodo.6344157
title: Pionus senilis decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6344156
title: Pionus senilis decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.19337000
title: Ground-3.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology
DOI: 10.6084/m9.figshare.19337000.v1
title: Ground-3.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology
DOI: 10.48370/ofd/68vwv2/bc9e65
title: 2056.S3Dm

description: :unav
DOI: 10.48370/ofd/68vwv2/vgyglo
title: 2056_2.S3Dm

description: :unav
DOI: 10.48370/ofd/68vwv2
title: Peniophora cinerea (Pers.) Cooke, 2056

description: Fungarium Makromycetes
DOI: 10.26302/sshade/experiment_eb_20180618_001
title: U L3 edge XAS HERFD of U(IV)-uraninite and U(VI)-uranyl references

description: Varying the uranium speciation.
DOI: 10.6084/m9.figshare.19337009
title: SMG-1.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology
DOI: 10.6084/m9.figshare.19337009.v1
title: SMG-1.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology
DOI: 10.5281/zenodo.6343940
title: MS UTX-TagGFP2 in UC-RT112,VMCUB1,SW1710,HBLAK

description: MS UTX-TagGFP2 in UC-RT112,VMCUB1,SW1710,HBLAK
DOI: 10.5281/zenodo.6343939
title: MS UTX-TagGFP2 in UC-RT112,VMCUB1,SW1710,HBLAK

description: MS UTX-TagGFP2 in UC-RT112,VMCUB1,SW1710,HBLAK
DOI: 10.6084/m9.figshare.19337021
title: SMG-2.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology
DOI: 10.6084/m9.figshare.19337021.v1
title: SMG-2.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology
DOI: 10.5445/ir/1000143486
title: Data Figure 2 and Figure 3
DOI: 10.5281/zenodo.6344176
title: Magicicada septendecim decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6344175
title: Magicicada septendecim decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.19337024
title: SMG-3.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology
DOI: 10.6084/m9.figshare.19337024.v1
title: SMG-3.fq.gz

description: This study aimed to screen the differential expression profiles of mRNA under weightlessness osteoporosis through High-throughput sequencing technology
DOI: 10.6084/m9.figshare.12979709
title: Microbes in Challenger Deep (CD) sediments

description: File1: 16S miTags were extracted from CD sediment metagenomes.File2: Identity of CD 16S miTags based on SILVA 138 SSU.File3: 16S miTags were extracted from Mariana water metagenomes.File4: Identity of Mariana water 16S miTags based on SILVA 138 SSU.File5: 16S miTags were extracted from deep-sea sediment metagenomes.File6: Identity of deep-sea 16S miTags based on SILVA 138 SSU.File7: Gene annotations of 586 CD MAGsFile8: Sequences of 586 CD MAGs
DOI: 10.6084/m9.figshare.12979709.v6
title: Microbes in Challenger Deep (CD) sediments

description: File1: 16S miTags were extracted from CD sediment metagenomes.File2: Identity of CD 16S miTags based on SILVA 138 SSU.File3: 16S miTags were extracted from Mariana water metagenomes.File4: Identity of Mariana water 16S miTags based on SILVA 138 SSU.File5: 16S miTags were extracted from deep-sea sediment metagenomes.File6: Identity of deep-sea 16S miTags based on SILVA 138 SSU.File7: Gene annotations of 586 CD MAGs
DOI: 10.5517/ccdc.csd.cc2059cw
title: CCDC 1852137: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Arshad Mehmood, Yulia V. Sevryugina|2022|Results Mater.|13|100262|doi:10.1016/j.rinma.2022.100262
DOI: 10.5517/ccdc.csd.cc2059dx
title: CCDC 1852138: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Arshad Mehmood, Yulia V. Sevryugina|2022|Results Mater.|13|100262|doi:10.1016/j.rinma.2022.100262
DOI: 10.5517/ccdc.csd.cc28tmf5
title: CCDC 2109997: Experimental Crystal Structure Determination

description: Related Article: Irshad Maajid Taily, Debarshi Saha, Prabal Banerjee|2022|J.Org.Chem.|87|2155|doi:10.1021/acs.joc.1c03108
DOI: 10.4121/17001130
title: Data underlying the publication "Initial contact shapes the perception of friction"

description: The dataset contains the processed supporting data for the publication entitle "Initial contact shapes the perception of friction" in PNAS. In this paper, we elucidate the effects of the frictional properties of objects during an initial contact.The raw data include images of the participants' fingerprints, which are sensitive, so they will be available only upon request.To know more about each file, please read the README file.
DOI: 10.4121/17001130.v1
title: Data underlying the publication "Initial contact shapes the perception of friction"

description: The dataset contains the processed supporting data for the publication entitle "Initial contact shapes the perception of friction" in PNAS. In this paper, we elucidate the effects of the frictional properties of objects during an initial contact.The raw data include images of the participants' fingerprints, which are sensitive, so they will be available only upon request.To know more about each file, please read the README file.
DOI: 10.6084/m9.figshare.19337105.v1
title: Untitled Biotic and abiotic predictors of potential N2O emissions from denitrification in Irish grasslands soils: a national-scale field studyItem

description: Data will be made available from July 2022.
DOI: 10.48370/ofd/uzl05o/1myplj
title: 2864_1.S3Dm

description: :unav
DOI: 10.48370/ofd/uzl05o/yeg7d3
title: 2864_2.S3Dm

description: :unav
DOI: 10.48370/ofd/uzl05o
title: Peniophora cinerea (Pers.) Cooke, 2864

description: Fungarium Makromycetes
DOI: 10.5281/zenodo.3709619
title: Raw OPC-UA Dataset of a Working Industry 4.0 Smart Factory (H-DA AutFab)

description: This OPC-UA dataset was recorded in the AutFab, the fully automated Industry 4.0 learning factory of the University of Applied Sciences Darmstadt (Description of the AutFab, refer to: 10.1016/j.promfg.2017.04.023). Recording Date was the 2019-03-13. Five successful assemblies would be done during recording. The Dataset consists of 17.464 columns and 11.455 rows. Each column correspond to an OPC-UA node. The pre-transformation was limited to transpose the logformat: time, opcua-nodeid, value to time, opcua-nodeid 1, ..., opcua-nodeid N and align all events by time. A short analysis was carried out, which shows that only 1022 columns change more than once. This dataset contains no anomalies or errors. Usage must be requested.
DOI: 10.5281/zenodo.3709618
title: Raw OPC-UA Dataset of a Working Industry 4.0 Smart Factory (H-DA AutFab)

description: This OPC-UA dataset was recorded in the AutFab, the fully automated Industry 4.0 learning factory of the University of Applied Sciences Darmstadt (Description of the AutFab, refer to: 10.1016/j.promfg.2017.04.023). Recording Date was the 2019-03-13. Five successful assemblies would be done during recording. The Dataset consists of 17.464 columns and 11.455 rows. Each column correspond to an OPC-UA node. The pre-transformation was limited to transpose the logformat: time, opcua-nodeid, value to time, opcua-nodeid 1, ..., opcua-nodeid N and align all events by time. A short analysis was carried out, which shows that only 1022 columns change more than once. This dataset contains no anomalies or errors. Usage must be requested.
DOI: 10.34740/kaggle/dsv/3279125
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.19096562
title: Supplementary Material for: Tocilizumab Treatment Effect on Iron Homeostasis in Severe COVID-19 Patients

description: Background: Tocilizumab has been proposed as an effective treatment for severe COVID-19. We aimed to investigate whether tocilizumab administration is associated with increased availability of serum iron which may possibly be associated with adverse effects on clinical outcomes. Methods: We performed an observational, retrospective cohort study. We included adults, who were hospitalized in ICU with the diagnosis of severe COVID-19 infection eligible for tocilizumab treatment. Laboratory data including serum iron, ferritin, transferrin saturation, hemoglobin and CRP levels of all patients were collected shortly before and 24h, 48h and 72h after tocilizumab administration. Results: During the study period fifteen patients fulfilled the inclusion criteria and were eligible to receive tocilizumab treatment. Tocilizumab therapy was associated with a prominent increase in serum iron and transferrin saturation levels (26±13 μg/dL and 15 ±8% before treatment and 79±32 μg/dL and 41±15% 72h after treatment, respectively P&lt;0.001) and decrease in serum ferritin levels (1921±2071 ng/mL before and 1258±1140 ng/mL 72h after treatment, P=0.027). Conclusion: Treatment of severe COVID-19 patients with tocilizumab is associated with a profound increase in serum iron and ferritin saturation levels along with a decrease in ferritin levels. This may represent an undesirable side effect that may potentiate viral replication.
DOI: 10.6084/m9.figshare.19096562.v1
title: Supplementary Material for: Tocilizumab Treatment Effect on Iron Homeostasis in Severe COVID-19 Patients

description: Background: Tocilizumab has been proposed as an effective treatment for severe COVID-19. We aimed to investigate whether tocilizumab administration is associated with increased availability of serum iron which may possibly be associated with adverse effects on clinical outcomes. Methods: We performed an observational, retrospective cohort study. We included adults, who were hospitalized in ICU with the diagnosis of severe COVID-19 infection eligible for tocilizumab treatment. Laboratory data including serum iron, ferritin, transferrin saturation, hemoglobin and CRP levels of all patients were collected shortly before and 24h, 48h and 72h after tocilizumab administration. Results: During the study period fifteen patients fulfilled the inclusion criteria and were eligible to receive tocilizumab treatment. Tocilizumab therapy was associated with a prominent increase in serum iron and transferrin saturation levels (26±13 μg/dL and 15 ±8% before treatment and 79±32 μg/dL and 41±15% 72h after treatment, respectively P&lt;0.001) and decrease in serum ferritin levels (1921±2071 ng/mL before and 1258±1140 ng/mL 72h after treatment, P=0.027). Conclusion: Treatment of severe COVID-19 patients with tocilizumab is associated with a profound increase in serum iron and ferritin saturation levels along with a decrease in ferritin levels. This may represent an undesirable side effect that may potentiate viral replication.
DOI: 10.5281/zenodo.6344174
title: ATAC-seq processing resources for the GRCh38 (hg38) assembly of the human genome

description: A collection of publicly available, but preprocessed, reference data for the analysis of ATAC-seq samples using the GRCh38 (hg38) assembly of the human genome using the Ultimate ATAC-seq Data Processing & Analysis Pipeline (details in the documentation on GitHub).
DOI: 10.5281/zenodo.6344173
title: ATAC-seq processing resources for the GRCh38 (hg38) assembly of the human genome

description: A collection of publicly available, but preprocessed, reference data for the analysis of ATAC-seq samples using the GRCh38 (hg38) assembly of the human genome using the Ultimate ATAC-seq Data Processing & Analysis Pipeline (details in the documentation on GitHub).
DOI: 10.6084/m9.figshare.19229268
title: Impact of experimental group, disease, mutation, age and sex on lymphoblast metabolic profiles.

description: Mutual Information (Information Gain) evidenced the features with more discriminative power between experimental conditions and enabled the selection of the most discriminant features for subsequent principal component analysis (PCA).<br> We further evaluated the performance of a Naïve Bayes classifier with leave-one-out cross-validation using the selected features. Confusion matrices represent the number of true positives (TP), true negatives (TN), false positives (FP) and false negatives (FN) in percent of the total real instances for each class. The following metrics were calculated: Area Under the Curve (AUC); Classification Accuracy (CA)=(TP + TN)/(TP + TN + FP + FN); F1 score = 2 x ((Precision x Recall)/(Precision + Recall)); Precision = TP/(TP + FP); Recall = TP/(TP + FN).
DOI: 10.6084/m9.figshare.19229268.v1
title: Impact of experimental group, disease, mutation, age and sex on lymphoblast metabolic profiles.

description: Mutual Information (Information Gain) evidenced the features with more discriminative power between experimental conditions and enabled the selection of the most discriminant features for subsequent principal component analysis (PCA).<br> We further evaluated the performance of a Naïve Bayes classifier with leave-one-out cross-validation using the selected features. Confusion matrices represent the number of true positives (TP), true negatives (TN), false positives (FP) and false negatives (FN) in percent of the total real instances for each class. The following metrics were calculated: Area Under the Curve (AUC); Classification Accuracy (CA)=(TP + TN)/(TP + TN + FP + FN); F1 score = 2 x ((Precision x Recall)/(Precision + Recall)); Precision = TP/(TP + FP); Recall = TP/(TP + FN).
DOI: 10.25345/c51j97b5j
title: MassIVE MSV000089031 - GNPS Acanthostrongylophora ingens 2022
title: GNPS analysis of Acanthostrongylophora ingens to obtain molecular networking