cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22109534
title: Supplementary Material for: Serum potassium trajectory during AKI and mortality risk

description: Background: The association between potassium (sK) level trajectory and mortality or the need for kidney replacement therapy (KRT) during acute kidney injury (AKI) has not been adequately explored. Methods: In this prospective cohort, AKI patients admitted to the Hospital Civil de Guadalajara were enrolled. Eight groups based on the sK (mEq/L) level trajectories during 10 days of hospitalization were created, (1) normokalemia (normoK), defined as sK between 3.5-5.5; (2) hyperkalemia to normoK; (3) hypokalemia to normoK; (4) fluctuating potassium; (5) persistent hypoK; (6) normoK to hypoK; (7) normoK to hyperK; (8) persistent hyperK. We assessed the association of sK trajectories with mortality and the need for KRT. Results: A total of 311 AKI patients were included. The mean age 52.6 years, and 58.6% were male. AKI stage 3 was present in 63.9%. KRT started in 36% patients, and 21.2% died. After adjusting for confounders, 10-day hospital mortality was significantly higher in group 7 and 8 (OR, 1.35 and 1.61, p = &lt;0.05, for both, respectively), and KRT initiation was higher only in group 8 (OR 1.38, p = &lt; 0.05) compared with group 1. Mortality in different subgroups of patients in group 8 did not change the primary results. Conclusion: In our prospective cohort, most patients with AKI had alterations in sK+. NormoK to hyperK and persistent hyperK were associated with death, while only persistent hyperK was correlated with the need for KRT.
DOI: 10.6084/m9.figshare.22109534.v1
title: Supplementary Material for: Serum potassium trajectory during AKI and mortality risk

description: Background: The association between potassium (sK) level trajectory and mortality or the need for kidney replacement therapy (KRT) during acute kidney injury (AKI) has not been adequately explored. Methods: In this prospective cohort, AKI patients admitted to the Hospital Civil de Guadalajara were enrolled. Eight groups based on the sK (mEq/L) level trajectories during 10 days of hospitalization were created, (1) normokalemia (normoK), defined as sK between 3.5-5.5; (2) hyperkalemia to normoK; (3) hypokalemia to normoK; (4) fluctuating potassium; (5) persistent hypoK; (6) normoK to hypoK; (7) normoK to hyperK; (8) persistent hyperK. We assessed the association of sK trajectories with mortality and the need for KRT. Results: A total of 311 AKI patients were included. The mean age 52.6 years, and 58.6% were male. AKI stage 3 was present in 63.9%. KRT started in 36% patients, and 21.2% died. After adjusting for confounders, 10-day hospital mortality was significantly higher in group 7 and 8 (OR, 1.35 and 1.61, p = &lt;0.05, for both, respectively), and KRT initiation was higher only in group 8 (OR 1.38, p = &lt; 0.05) compared with group 1. Mortality in different subgroups of patients in group 8 did not change the primary results. Conclusion: In our prospective cohort, most patients with AKI had alterations in sK+. NormoK to hyperK and persistent hyperK were associated with death, while only persistent hyperK was correlated with the need for KRT.
DOI: 10.6084/m9.figshare.22109519.v1
title: Appendix Tables 1, 2 and 3.xlsx

description: Appendix tables from Alberto Cobos Piñuela doctoral thesis.
DOI: 10.6084/m9.figshare.22109519
title: Appendix Tables 1, 2 and 3.xlsx

description: Appendix tables from Alberto Cobos Piñuela doctoral thesis.
DOI: 10.21227/143k-9k75
title: supplemental documents  for manuscript "Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART)"

description: This is the supplemental documents which include the latex file and figure files for the manuscript titled "Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART) ".
DOI: 10.6084/m9.figshare.22109540
title: Supplementary Material for: Serum potassium trajectory during AKI and mortality risk

description: Background: The association between potassium (sK) level trajectory and mortality or the need for kidney replacement therapy (KRT) during acute kidney injury (AKI) has not been adequately explored. Methods: In this prospective cohort, AKI patients admitted to the Hospital Civil de Guadalajara were enrolled. Eight groups based on the sK (mEq/L) level trajectories during 10 days of hospitalization were created, (1) normokalemia (normoK), defined as sK between 3.5-5.5; (2) hyperkalemia to normoK; (3) hypokalemia to normoK; (4) fluctuating potassium; (5) persistent hypoK; (6) normoK to hypoK; (7) normoK to hyperK; (8) persistent hyperK. We assessed the association of sK trajectories with mortality and the need for KRT. Results: A total of 311 AKI patients were included. The mean age 52.6 years, and 58.6% were male. AKI stage 3 was present in 63.9%. KRT started in 36% patients, and 21.2% died. After adjusting for confounders, 10-day hospital mortality was significantly higher in group 7 and 8 (OR, 1.35 and 1.61, p = &lt;0.05, for both, respectively), and KRT initiation was higher only in group 8 (OR 1.38, p = &lt; 0.05) compared with group 1. Mortality in different subgroups of patients in group 8 did not change the primary results. Conclusion: In our prospective cohort, most patients with AKI had alterations in sK+. NormoK to hyperK and persistent hyperK were associated with death, while only persistent hyperK was correlated with the need for KRT.
DOI: 10.6084/m9.figshare.22109540.v1
title: Supplementary Material for: Serum potassium trajectory during AKI and mortality risk

description: Background: The association between potassium (sK) level trajectory and mortality or the need for kidney replacement therapy (KRT) during acute kidney injury (AKI) has not been adequately explored. Methods: In this prospective cohort, AKI patients admitted to the Hospital Civil de Guadalajara were enrolled. Eight groups based on the sK (mEq/L) level trajectories during 10 days of hospitalization were created, (1) normokalemia (normoK), defined as sK between 3.5-5.5; (2) hyperkalemia to normoK; (3) hypokalemia to normoK; (4) fluctuating potassium; (5) persistent hypoK; (6) normoK to hypoK; (7) normoK to hyperK; (8) persistent hyperK. We assessed the association of sK trajectories with mortality and the need for KRT. Results: A total of 311 AKI patients were included. The mean age 52.6 years, and 58.6% were male. AKI stage 3 was present in 63.9%. KRT started in 36% patients, and 21.2% died. After adjusting for confounders, 10-day hospital mortality was significantly higher in group 7 and 8 (OR, 1.35 and 1.61, p = &lt;0.05, for both, respectively), and KRT initiation was higher only in group 8 (OR 1.38, p = &lt; 0.05) compared with group 1. Mortality in different subgroups of patients in group 8 did not change the primary results. Conclusion: In our prospective cohort, most patients with AKI had alterations in sK+. NormoK to hyperK and persistent hyperK were associated with death, while only persistent hyperK was correlated with the need for KRT.
DOI: 10.6084/m9.figshare.22109525
title: School_Principal Survey_2021_22.zip

description: This data is collected from the school principals of the sample primary schools in November - December, 2022 <br>
DOI: 10.6084/m9.figshare.22109525.v1
title: School_Principal Survey_2021_22.zip

description: This data is collected from the school principals of the sample primary schools in November - December, 2022 <br>
DOI: 10.6084/m9.figshare.22109123
title: Blueprint Project

description: There are 3 MS-excel file sharing the data of blueprint project.
DOI: 10.6084/m9.figshare.22109123.v1
title: Blueprint Project

description: There are 3 MS-excel file sharing the data of blueprint project.
DOI: 10.6084/m9.figshare.21400050
title: RawData_D'Angelo_et_al : The capsule increases susceptibility to last-resort polymyxins, but not to other antibiotics, in Klebsiella pneumoniae

description: Dataset for manuscript D'Angelo et al <br> The extracellular capsule is a virulence factor present in many facultative pathogens, whose role in antimicrobial resistance remains controversial. To shed light on this debate, we tested six antibiotics on four strains of <em>Klebsiella pneumoniae</em> species complex. Non-capsulated strains exhibited increased tolerance to polymyxins, but not to other antibiotics, as measured by MIC. Our results urge caution on the use of therapeutic agents that target the capsule and may result in selection for its inactivation.
DOI: 10.6084/m9.figshare.21400050.v2
title: RawData_D'Angelo_et_al

description: Dataset for manuscript D'Angelo et al
DOI: 10.23729/d3fd882e-35a9-4541-a615-9001a87abd2f
title: Palmi Mylonitic Rocks preview

description: The samples consist of three parallelepipeds (3 mm x 3 mm x 10 mm) collected from mylonitic rocks outcropping within a crustal-scale strike-slip shear zone (Palmi Shear Zone, Palmi, Italy), located in the southern Mediterranean realm and operating in the time spanning from 60 to 30 Ma. Samples were imaged to compare with x-ray elemental maps and included in the doctoral thesis of one author. Preview of a PAS-dataset
DOI: 10.23729/b0a215fd-90f9-42f1-b583-48a7fcbac819
title: Palmi Mylonitic Rocks

description: The samples consist of three parallelepipeds (3 mm x 3 mm x 10 mm) collected from mylonitic rocks outcropping within a crustal-scale strike-slip shear zone (Palmi Shear Zone, Palmi, Italy), located in the southern Mediterranean realm and operating in the time spanning from 60 to 30 Ma. Samples were imaged to compare with x-ray elemental maps and included in the doctoral thesis of one author. Preview dataset found at https://doi.org/10.23729/d3fd882e-35a9-4541-a615-9001a87abd2f . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.6084/m9.figshare.21618858
title: Automatically Classifying Kano Model Factors in App Reviews

description: This is the replication package that accompanies the paper <br> <strong>Automatically Classifying Kano Model Factors in App Reviews</strong> by <em>Michelle Binder, Annika Vogt, Adrian Bajraktari, and Andreas Vogelsang</em> <br> The package contains the following folders <strong>code</strong>: This folder contains Jupyter notebooks for all tested classifiers and the necessary preprocessing <strong>datasets</strong>: This folder contains the used dataset (Statik and Brunotte) including the Kano labels that we put manually. Additionally, we also provide the five downsampled datasets that we used to evaluate the classifiers. <strong>results</strong>: This folder contains a table with the collected results when the classifiers where trained on the Statik datasets and tested on the Brunotte dataset. To run the code, you need Python3 including standard libraries (`pandas`, `numpy`, `matplotlib`, `sklearn`). In addition, you need to install the 'simpletransformers` library (e.g., via `pip`)
DOI: 10.6084/m9.figshare.21618858.v2
title: Automatically Classifying Kano Model Factors in App Reviews

description: This is the replication package that accompanies the paper <br> <strong>Automatically Classifying Kano Model Factors in App Reviews</strong> by <em>Michelle Binder, Annika Vogt, Adrian Bajraktari, and Andreas Vogelsang</em> <br> The package contains the following folders <strong>code</strong>: This folder contains Jupyter notebooks for all tested classifiers and the necessary preprocessing <strong>datasets</strong>: This folder contains the used dataset (Statik and Brunotte) including the Kano labels that we put manually. Additionally, we also provide the five downsampled datasets that we used to evaluate the classifiers. <strong>results</strong>: This folder contains a table with the collected results when the classifiers where trained on the Statik datasets and tested on the Brunotte dataset. To run the code, you need Python3 including standard libraries (`pandas`, `numpy`, `matplotlib`, `sklearn`). In addition, you need to install the 'simpletransformers` library (e.g., via `pip`)
DOI: 10.48579/pro/wrkt4o/hyigzy
title: LSTD-2010-11.asc

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DOI: 10.48579/pro/wrkt4o/xcdu3w
title: LSTD-2007-03.asc

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DOI: 10.5281/zenodo.7646163
title: Understanding surface chemical processes in perovskite oxide electrodes

description: X-ray photoelectron spectroscopy data and Low Energy ion scattering data for the LSCrF8255 materials published in J. Mater Chem A. DOI10.1039/D3TA00070B
DOI: 10.48579/pro/wrkt4o/t9ufew
title: LSTN-2019-05.asc

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DOI: 10.5281/zenodo.7646162
title: Understanding surface chemical processes in perovskite oxide electrodes

description: X-ray photoelectron spectroscopy data and Low Energy ion scattering data for the LSCrF8255 materials published in J. Mater Chem A. DOI10.1039/D3TA00070B
DOI: 10.48579/pro/wrkt4o/ej50yt
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DOI: 10.48579/pro/wrkt4o/v5ygbl
title: ZAM-NDVI.tab

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DOI: 10.6084/m9.figshare.22109414.v1
title: Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data

description: Although an essential step, the functional annotation of cells often proves particularly challenging in the analysis of single-cell transcriptional data. Several methods have been developed to accomplish this task. However, in most cases, these rely on techniques initially developed for bulk RNA sequencing or simply make use of marker genes identified from cell clustering followed by supervised annotation. To overcome these limitations and automatise the process, we have developed two novel methods, the single-cell gene set enrichment analysis (scGSEA) and the single cell mapper (scMAP). scGSEA combines latent data representations and gene set enrichment scores to detect coordinated gene activity at single-cell resolution. scMAP uses transfer learning techniques to repurpose and contextualise new cells into a reference cell atlas. Using both simulated and real datasets, we show that scGSEA effectively recapitulates recurrent patterns of pathways’ activity shared by cells from different experimental conditions. At the same time, we show that scMAP can reliably map and contextualise new single cell profiles on a breast cancer atlas we recently released. Both tools are provided in an effective and straightforward workflow providing a framework to determine cell function and significantly improve annotation and interpretation of scRNA-seq data.
DOI: 10.48579/pro/wrkt4o/sosxzg
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title: readme.txt

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DOI: 10.6084/m9.figshare.22109414.v2
title: Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data

description: Although an essential step, the functional annotation of cells often proves particularly challenging in the analysis of single-cell transcriptional data. Several methods have been developed to accomplish this task. However, in most cases, these rely on techniques initially developed for bulk RNA sequencing or simply make use of marker genes identified from cell clustering followed by supervised annotation. To overcome these limitations and automatise the process, we have developed two novel methods, the single-cell gene set enrichment analysis (scGSEA) and the single cell mapper (scMAP). scGSEA combines latent data representations and gene set enrichment scores to detect coordinated gene activity at single-cell resolution. scMAP uses transfer learning techniques to repurpose and contextualise new cells into a reference cell atlas. Using both simulated and real datasets, we show that scGSEA effectively recapitulates recurrent patterns of pathways’ activity shared by cells from different experimental conditions. At the same time, we show that scMAP can reliably map and contextualise new single cell profiles on a breast cancer atlas we recently released. Both tools are provided in an effective and straightforward workflow providing a framework to determine cell function and significantly improve annotation and interpretation of scRNA-seq data.
DOI: 10.48579/pro/wrkt4o/4owlxl
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DOI: 10.6084/m9.figshare.22109642
title: TBPGD.zip

description: a database containing transposable phages idetified from Refseq bacteria genomes and IMG VR v 2.0 ,GOV2.0
DOI: 10.6084/m9.figshare.22109642.v1
title: TBPGD.zip

description: a database containing transposable phages idetified from Refseq bacteria genomes and IMG VR v 2.0 ,GOV2.0
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