cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19706584.v2
title: Mass Spectrometry (MS)-Based Peptidomic analysis of In Vitro Gastrointestinal Digestion of Dietary Proteins: Implication for Allergenicity Risk Assessment

description: Supporting information II Figure S1-S8: Venn diagram of the identified peptides from protein accessions between the triplicates of digests after gastric digestion. Supporting information II Figure S9-S17: Venn diagram of the identified peptides from protein accessions between the triplicates of digests after intestinal digestion. <br> Supplementary material III: Summary data on peptides identified by Progenesis of digests after 120 min gastric digestion corresponding to different proteins including protein accession, protein description, peptide sequence, peptide score, theoretical precursor mass, peptide modification and normalised and raw abundance. Supplementary material IV: Summary data on proteins identified by Progenesis of digests after 120 min gastric digestion corresponding to different proteins including protein accession, peptide count, number of unique peptides, confidence score, protein theoretical mass, protein description, and normalised abundance. <br> Supporting information V Figure S1-S8. Peptide sequence alignment of protein isoforms.
DOI: 10.17037/data.00002853
title: Clinical codelist- autoimmune disease ICD10 codes

description: ICD10 codes for autoimmune conditions.
DOI: 10.6084/m9.figshare.19447049
title: Supplementary Material for: Incidence and mortality of post-polypectomy colorectal cancer in patients with low-risk adenomas: A systematic review and meta-analysis of observational studies

description: Introduction: The long-term risks of post-polypectomy colorectal cancer (CRC) incidence and mortality among patients with low-risk adenomas (LRAs) are unclear. This study aimed to perform a systematic review and meta-analysis of the risk of CRC incidence and mortality following LRAs removal. Methods: We searched the PubMed, Embase, and Cochrane library for studies that reported the risk of metachronous CRC incidence and mortality after colonoscopy. The primary outcome was the risk of CRC incidence and mortality in patients with LRAs. Random-effects models were used to calculate pooled risk ratio (RR) with 95% CI. Results: Thirteen observational studies with 1,750,305 patients (45.4% male; follow-up: 4.5-16.5 years) were included. A meta-analysis of seven studies showed a higher CRC incidence in patients with LRAs than those without adenomas [per 10,000 person-years: 5.2 vs 3.9; RR 1.25 (95% CI 1.05-1.49), I2=0%]. However, the CRC-related death was not significantly different between the two groups [RR 1.13 (95% CI 0.75-1.69), I2=0%]. When compared with the general population, the meta-analysis showed a significantly lower risk of CRC incidence in patients with LRAs [RR 0.59 (95%CI 0.45-0.77), I2=0%], and another three studies, which could not be pooled, showed a reduction in the risk of CRC-related death in the LRAs group. Conclusions: Patients with LRAs have a small but higher risk of post-polypectomy CRC incidence than patients without adenomas. The marginally higher absolute incidence seemed insufficient for more intensive surveillance colonoscopy, but the significant difference suggested different follow-up strategies between patients with LRAs and those without adenomas.
DOI: 10.5281/zenodo.6520089
title: MELA Dataset: A Benchmark for Mediastinal Lesion Analysis (Validation Set and Annotation)

description: MELA dataset is a benchmark for developing algorithms on mediastinal lesion analysis. We hope this large-scale dataset could facilitate the research and application of automatic mediastinal lesion detection and diagnosis. MELA dataset contains 1100 CT scans collected from patients with one or more lesions in the mediastinum. The MELA dataset is split into a subset of 770 CT scans for training, a subset of 110 CT scans for validation, and a test set of 220 CT scans for evaluation. This is the Validation Set and Annotation of MELA dataset, including 110 CTs and the annotations of the whole training set and validation set. Files include: Val.zip: 110 CTs in NII format (nii.gz). mela_train_val_annotations.csv: bounding box annotations in voxel coordinates for mediastinal lesions. `public_id: anonymous patient ID to match images and annotations.<br> `coordX, coordY, coordZ: coordinates of the center of annotated bounding box.<br> `x_length, y_length, z_length: the length of the bounding box in three dimensions.
DOI: 10.6084/m9.figshare.19711900
title: Supplementary Material for: Predictors of Low and High Exhaled Nitric Oxide Values in Asthma: A Real-World Study

description: <b><i>Background:</i></b> In asthma, exhaled nitric oxide (F<sub>E</sub>NO) is a clinically established biomarker of airway T2 inflammation and an indicator for anti-inflammatory therapy. <b><i>Objectives:</i></b> The aim of the study was to identify, in an observational real-world cross-sectional study, the main characteristics of patients with asthma as classified by their F<sub>E</sub>NO level. <b><i>Method:</i></b> We stratified 398 patients with stable mild-to-severe asthma according to F<sub>E</sub>NO level as low (≤25 ppb) versus elevated (&gt;25 ppb), subdividing the latter into two subgroups: moderately elevated (26–50 ppb) versus very high F<sub>E</sub>NO (&gt;50 ppb). Clinical, functional, and blood parameters were extrapolated from patients’ chart data and compared with the F<sub>E</sub>NO stratification. Predictors of low and elevated F<sub>E</sub>NO asthma were detected by logistic regression model. <b><i>Results:</i></b> Low BMI, higher blood eosinophilia, allergen poly-sensitization, the severest airflow obstruction (FEV<sub>1</sub>/FVC), and anti-leukotriene use are predictors of elevated F<sub>E</sub>NO values in asthma, as well as persistent rhinitis and chronic rhinosinusitis with or without nasal polyps. Beyond these, younger age, more than 2 asthma exacerbations/year, higher airflow reversibility (post-bronchodilator ∆FEV<sub>1</sub>), and oral corticosteroid dependence are predictors of very high F<sub>E</sub>NO values. In contrast, obesity, obstructive sleep apnoea syndrome, gastroesophageal reflux disease, arterial hypertension, and myocardial infarction are predictors of low F<sub>E</sub>NO asthma. In our population, F<sub>E</sub>NO correlated with blood eosinophils, airflow obstruction, and reversibility and negatively correlated with age and BMI. <b><i>Conclusions:</i></b> Stratifying patients by F<sub>E</sub>NO level can identify specific asthma phenotypes with distinct clinical features and predictors useful in clinical practice to tailor treatment and improve asthmatic patients’ outcomes.
DOI: 10.6084/m9.figshare.19711900.v1
title: Supplementary Material for: Predictors of Low and High Exhaled Nitric Oxide Values in Asthma: A Real-World Study

description: <b><i>Background:</i></b> In asthma, exhaled nitric oxide (F<sub>E</sub>NO) is a clinically established biomarker of airway T2 inflammation and an indicator for anti-inflammatory therapy. <b><i>Objectives:</i></b> The aim of the study was to identify, in an observational real-world cross-sectional study, the main characteristics of patients with asthma as classified by their F<sub>E</sub>NO level. <b><i>Method:</i></b> We stratified 398 patients with stable mild-to-severe asthma according to F<sub>E</sub>NO level as low (≤25 ppb) versus elevated (&gt;25 ppb), subdividing the latter into two subgroups: moderately elevated (26–50 ppb) versus very high F<sub>E</sub>NO (&gt;50 ppb). Clinical, functional, and blood parameters were extrapolated from patients’ chart data and compared with the F<sub>E</sub>NO stratification. Predictors of low and elevated F<sub>E</sub>NO asthma were detected by logistic regression model. <b><i>Results:</i></b> Low BMI, higher blood eosinophilia, allergen poly-sensitization, the severest airflow obstruction (FEV<sub>1</sub>/FVC), and anti-leukotriene use are predictors of elevated F<sub>E</sub>NO values in asthma, as well as persistent rhinitis and chronic rhinosinusitis with or without nasal polyps. Beyond these, younger age, more than 2 asthma exacerbations/year, higher airflow reversibility (post-bronchodilator ∆FEV<sub>1</sub>), and oral corticosteroid dependence are predictors of very high F<sub>E</sub>NO values. In contrast, obesity, obstructive sleep apnoea syndrome, gastroesophageal reflux disease, arterial hypertension, and myocardial infarction are predictors of low F<sub>E</sub>NO asthma. In our population, F<sub>E</sub>NO correlated with blood eosinophils, airflow obstruction, and reversibility and negatively correlated with age and BMI. <b><i>Conclusions:</i></b> Stratifying patients by F<sub>E</sub>NO level can identify specific asthma phenotypes with distinct clinical features and predictors useful in clinical practice to tailor treatment and improve asthmatic patients’ outcomes.
DOI: 10.17037/data.00002854
title: Clinical codelist - herpes simplex virus ICD9 codes

description: ICD9 codes for herpes simplex virus.
DOI: 10.34740/kaggle/dsv/3078704
title: Aseptic Loose Hip Implant X-Ray Database
DOI: 10.17037/data.00002855
title: Clinical codelist - herpes simplex virus ICD10 codes

description: ICD10 codes for herpes simplex virus.
DOI: 10.6084/m9.figshare.19711624
title: Incremental Entity Extraction

description: The incremental dataset and the NIL prediction model used in the paper "Evaluation of Incremental Entity Extraction with Background Knowledge and Entity Linking"
DOI: 10.5281/zenodo.6520104
title: Data for the paper "Optimization of quasisymmetric stellarators with self-consistent bootstrap current and energetic particle confinement"

description: Data for the paper "Optimization of quasisymmetric stellarators with self-consistent bootstrap current and energetic particle confinement"
DOI: 10.17037/data.00002856
title: Clinical codelist - immunosuppression ICD9 codes

description: ICD9 codes for immunosuppression.
DOI: 10.5281/zenodo.5554935
title: Dataset accompanying Riesch et al. 2022. Grazing by wild red deer can mitigate nutrient enrichment in protected semi-natural open habitats. Oecologia

description: This repository contains the data set on nutrient fluxes through wild red deer used by Riesch et al. 2022 in an article puplished in <em>Oecologia</em> (accepted 2022-05-01). Metadata are provided in the first excel worksheet. For further details please see the original article (DOI: 10.1007/s00442-022-05182-z).
description: This study was supported by the German government's Special Purpose Fund held at Landwirtschaftliche Rentenbank [28 RZ 7007].
DOI: 10.5281/zenodo.5554934
title: Dataset accompanying Riesch et al. 2022. Grazing by wild red deer can mitigate nutrient enrichment in protected semi-natural open habitats. Oecologia

description: This repository contains the data set on nutrient fluxes through wild red deer used by Riesch et al. 2022 in an article puplished in <em>Oecologia</em> (accepted 2022-05-01). Metadata are provided in the first excel worksheet. For further details please see the original article (DOI: 10.1007/s00442-022-05182-z).
description: This study was supported by the German government's Special Purpose Fund held at Landwirtschaftliche Rentenbank [28 RZ 7007].
DOI: 10.5258/soton/d2181
title: Southampton Doctoral Thesis Data: 'Pickwick in the Papers: Charles Dickens and the Politics of Remediation in the Newspaper Press, 1836-1870'

description: This dataset contains three Excel databases and three PDF scans of newspaper pages, all of which are appendices to the Ph.D. thesis 'Pickwick in the Papers: Charles Dickens and the Politics of Remediation in the Newspaper Press, 1836-1870'.
DOI: 10.6084/m9.figshare.19713442
title: SRR5836475_coverage.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713442.v1
title: SRR5836475_coverage.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713433
title: SRR5836474_1_sub_val_1_bismark_bt2_pe.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713433.v1
title: SRR5836474_1_sub_val_1_bismark_bt2_pe.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713436
title: SRR5836473_coverage.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713436.v1
title: SRR5836473_coverage.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713430
title: SRR3824222_coverage.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713430.v1
title: SRR3824222_coverage.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.17037/data.00002857
title: Clinical codelist - immunosuppression ICD10 codes

description: ICD10 codes for immunosuppression.
DOI: 10.6084/m9.figshare.19713427
title: SRR5836475_1_sub_val_1_bismark_bt2_pe.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713427.v1
title: SRR5836475_1_sub_val_1_bismark_bt2_pe.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713439
title: SRR5836474_coverage.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713439.v1
title: SRR5836474_coverage.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713424
title: SRR3824222_1_sub_val_1_bismark_bt2_pe.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713424.v1
title: SRR3824222_1_sub_val_1_bismark_bt2_pe.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713421
title: SRR5836473_1_sub_val_1_bismark_bt2_pe.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.19713421.v1
title: SRR5836473_1_sub_val_1_bismark_bt2_pe.bigWig

description: Данные для домашнего задания визуализация
DOI: 10.6084/m9.figshare.14980167.v1
title: Calculation archive

description: Raw CASTEP files used for calculations. This contains .cell, .param and .castep files.
DOI: 10.6084/m9.figshare.14980206
title: Smoothed C-K edge site spectra in hdf5 format

description: The site-specific C-K edge spectral data that are smoothed with a Gaussian filter with a standard deviation of 0.5 eV and sampled in 0.1 eV steps
DOI: 10.6084/m9.figshare.14980167
title: Calculation archive

description: Raw CASTEP files used for calculations. This contains .cell, .param and .castep files.
DOI: 10.6084/m9.figshare.14980170
title: Smoothed C-K edge spectra in csv format

description: Spectra database files in csv format. The spectra are smoothed with a Gaussian filter with a standard deviation of 0.5 eV and sampled in 0.1 eV steps.
DOI: 10.6084/m9.figshare.14980170.v1
title: Smoothed C-K edge spectra in csv format

description: Spectra database files in csv format. The spectra are smoothed with a Gaussian filter with a standard deviation of 0.5 eV and sampled in 0.1 eV steps.
DOI: 10.6084/m9.figshare.14980203.v1
title: Smoothed C-K edge molecule spectra in hdf5 format

description: The molecular-wise C-K edge spectral data that are smoothed with a Gaussian filter with a standard deviation of 0.5 eV and sampled in 0.1 eV steps
DOI: 10.6084/m9.figshare.14980206.v1
title: Smoothed C-K edge site spectra in hdf5 format

description: The site-specific C-K edge spectral data that are smoothed with a Gaussian filter with a standard deviation of 0.5 eV and sampled in 0.1 eV steps
DOI: 10.6084/m9.figshare.14980203
title: Smoothed C-K edge molecule spectra in hdf5 format

description: The molecular-wise C-K edge spectral data that are smoothed with a Gaussian filter with a standard deviation of 0.5 eV and sampled in 0.1 eV steps
DOI: 10.6084/m9.figshare.17294195
title: Site specific eigenvalues and dynamical structure factors

description: This database contains the most primitive information related to spectrum: the final energies for the excited state and the ground state, the excitation energy, site multiplicity, the eigenvalues and the dynamical structure factors, i.e. the square of the absolute values of transition matrix element.
DOI: 10.17037/data.00002858
title: Clinical codelist - mood disorders ICD9 codes

description: ICD9 codes for mood disorders.
DOI: 10.6084/m9.figshare.19713487.v1
title: Supplementary Material for: HMGB1-Like Dorsal Switch Protein 1 Triggers a Damage Signal in Mosquito Gut to Activate Dual Oxidase via Eicosanoids

description: Several mosquitoes transmit human pathogens by blood feeding, with the gut being the main entrance for the pathogens. Thus, the gut epithelium defends the pathogens by eliciting potent immune responses. However, it was unclear how the mosquito gut discriminates pathogens among various microflora in the lumen. This study proposed a hypothesis that a damage signal might be specifically induced by pathogens in the gut. The Asian tiger mosquito, <i>Aedes albopictus</i>, encodes dorsal switch protein 1 (<i>Aa-DSP1</i>) as a putative damage-associated molecular pattern (DAMP). Aa-DSP1 was localized in the nucleus of the midgut epithelium in naïve larvae. Upon infection by a pathogenic bacterium, <i>Serratia marcescens</i>, Aa-DSP1 was released to hemocoel and activated phospholipase A<sub>2</sub> (PLA<sub>2</sub>). The activated PLA<sub>2</sub> increased the level of prostaglandin E<sub>2</sub> (PGE<sub>2</sub>) in the gut and subsequently increased Ca<sup>2+</sup> signal to produce reactive oxygen species (ROS) via dual oxidase (Duox). Inhibition of Aa-DSP1 via RNA interference or specific inhibitor treatment failed to increase PGE<sub>2</sub>/Ca<sup>2+</sup> signal upon the bacterial infection. Thus, the inhibitors specifically targeting eicosanoid biosynthesis significantly prevented the upregulation of ROS production in the gut and enhanced mosquito mortality after the bacterial infection. However, such inhibitory effects were rescued by adding PGE<sub>2</sub>. These suggest that Aa-DSP1 plays an important role in immune response of the mosquito gut as a DAMP during pathogen infection by triggering a signaling pathway, DSP1/PLA<sub>2</sub>/Ca<sup>2+</sup>/Duox.
DOI: 10.5281/zenodo.6406103
title: Results of "Comparison of ice dynamics using full-Stokes and Blatter-Pattyn approximation: application to the Northeast Greenland Ice Stream"

description: This archive provides ice sheet model output produced as part of the publication: Rückamp, M., Kleiner, T., and Humbert, A.: Comparison of ice dynamics using full-Stokes and Blatter–Pattyn approximation: application to the Northeast Greenland Ice Stream, The Cryosphere, 16, 1675–1696, https://doi.org/10.5194/tc-16-1675-2022, 2022. About the data:<br> The archive contains 2 zipped tar-files for the two 2 different regions 'icestream' and 'outlet'. Each tar-file contains ascii files for the different conducted scenarios. An exemplary filename looks like:<br> FSvsBPlike_icestream_res12800m_E1_SlidingM1_isFS_P1P1GLS_BCstrong.txt 'FSvsBPlike' indicates the general study<br> 'icestream' indicates the region (either icestream or outlet)<br> 'res12800m' indicates the horizontal resolution (ranges from 12800 to 100 meter)<br> 'E1' indicates the enhancement factor used (available values E=0.1, 1, 3 and 6)<br> 'SlidingM1' indicates the employed sliding exponent (available values m=1 and 3)<br> 'isFS' indicates that the full-Stokes equation was employed (either isFS or isBPlike)<br> 'P1P1GLS' describes the employed finite element discretization (either P1P1GLS or P2P1)<br> 'BCstrong' indicates that the strong basal boundary implementation was used (either BCstrong or BCweak)<br> <br> An exemplary file structure looks as follows:<br> % Creation date: 03-May-2022<br> % Institution: AWI (Bremerhaven-Germany), BADW (Munich-Germany)<br> % Correspondence: Martin Rueckamp (martin.rueckamp@badw.de), Angelika Humbert (angelika.humbert@awi.de)<br> % Source: COMSOL version 5.6 (www.comsol.com)<br> % Citation: Rückamp et al. (2022): https://tc.copernicus.org/preprints/tc-2021-193/<br> % Projection: EPSG:3413 (proj4 string: +init=epsg:3413)<br> x(m) y(m) z_s(m) z_b(m) vx_s(m/a) vy_s(m/a) vz_s(m/a) p_s(Pa) vx_b(m/a) vy_b(m/a) vz_b(m/a) p_b(Pa)<br> 301099.83 -1256559.78 1840.83 205.40 -0.031 0.028 -5.456 -157729.374 -2.312 2.076 0.012 14684584.911<br> ...<br> <br> The fields x, y contain x- and y coordinates of the grid nodes in EPSG:3413 projection. The fields z_s and z_b are the ice surface and ice base, respectively. The fields vx, vy, and vz are the ice velocities in horizontal (x,y) and vertical (z) direction. The field p is the pressure. The subscripts _s and _b indicate the surface and ice base, respectively.
DOI: 10.5281/zenodo.6406102
title: Results of "Comparison of ice dynamics using full-Stokes and Blatter-Pattyn approximation: application to the Northeast Greenland Ice Stream"

description: This archive provides ice sheet model output produced as part of the publication: Rückamp, M., Kleiner, T., and Humbert, A.: Comparison of ice dynamics using full-Stokes and Blatter–Pattyn approximation: application to the Northeast Greenland Ice Stream, The Cryosphere, 16, 1675–1696, https://doi.org/10.5194/tc-16-1675-2022, 2022. About the data:<br> The archive contains 2 zipped tar-files for the two 2 different regions 'icestream' and 'outlet'. Each tar-file contains ascii files for the different conducted scenarios. An exemplary filename looks like:<br> FSvsBPlike_icestream_res12800m_E1_SlidingM1_isFS_P1P1GLS_BCstrong.txt 'FSvsBPlike' indicates the general study<br> 'icestream' indicates the region (either icestream or outlet)<br> 'res12800m' indicates the horizontal resolution (ranges from 12800 to 100 meter)<br> 'E1' indicates the enhancement factor used (available values E=0.1, 1, 3 and 6)<br> 'SlidingM1' indicates the employed sliding exponent (available values m=1 and 3)<br> 'isFS' indicates that the full-Stokes equation was employed (either isFS or isBPlike)<br> 'P1P1GLS' describes the employed finite element discretization (either P1P1GLS or P2P1)<br> 'BCstrong' indicates that the strong basal boundary implementation was used (either BCstrong or BCweak)<br> <br> An exemplary file structure looks as follows:<br> % Creation date: 03-May-2022<br> % Institution: AWI (Bremerhaven-Germany), BADW (Munich-Germany)<br> % Correspondence: Martin Rueckamp (martin.rueckamp@badw.de), Angelika Humbert (angelika.humbert@awi.de)<br> % Source: COMSOL version 5.6 (www.comsol.com)<br> % Citation: Rückamp et al. (2022): https://tc.copernicus.org/preprints/tc-2021-193/<br> % Projection: EPSG:3413 (proj4 string: +init=epsg:3413)<br> x(m) y(m) z_s(m) z_b(m) vx_s(m/a) vy_s(m/a) vz_s(m/a) p_s(Pa) vx_b(m/a) vy_b(m/a) vz_b(m/a) p_b(Pa)<br> 301099.83 -1256559.78 1840.83 205.40 -0.031 0.028 -5.456 -157729.374 -2.312 2.076 0.012 14684584.911<br> ...<br> <br> The fields x, y contain x- and y coordinates of the grid nodes in EPSG:3413 projection. The fields z_s and z_b are the ice surface and ice base, respectively. The fields vx, vy, and vz are the ice velocities in horizontal (x,y) and vertical (z) direction. The field p is the pressure. The subscripts _s and _b indicate the surface and ice base, respectively.
DOI: 10.5258/soton/d1990
title: Dataset for PhD thesis: Category and Depth Discrimination in Real-World Scenes

description: University of Southampton Doctoral Thesis: Category and Depth Discrimination in Real-World Scenes. Supporting data for chapters 4 and 5
DOI: 10.25934/pr00000529.0
title: Available IPD datapackage for study 'Lamotrigine Extended-Release in Elderly Patients With Epilepsy'

description: This study is being conducted to determine the safety and tolerability of lamotrigine (LTG) in elderly patients with epilepsy. This study will be carried out using an extended-release formulation of lamotrigine (LTG-XR) that will allow once-a-day dosing.
DOI: 10.17037/data.00002859
title: Clinical codelist - mood disorders ICD10 codes

description: ICD10 codes for mood disorders.
DOI: 10.1285/i99788883051760p1
title: Frontespizio e pagine iniziali
DOI: 10.1285/i99788883051760p9
title: Preface
DOI: 10.1285/i99788883051760p11
title: Scientific Committee, Organizing Committee and Staff
DOI: 10.1285/i99788883051760p12
title: Week Schedule