cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25479661
title: Supplementary Material for: Adjuvant chemotherapy after radical nephroureterectomy for upper tract urothelial carcinoma with variant histology: A systematic review and meta-analysis of survival outcomes

description: Introduction: To determine effects of adjuvant chemotherapy (AC) on survival outcomes compared to surgery alone without AC for upper tract urothelial carcinoma (UTUC) patients with variant histology (VH).
Methods: We conducted a systematic review and meta-analysis of studies investigating AC for UTUC in Medline, Embase, the Cochrane library up to January 2023. Population, intervention, comparator, and outcome were UTUC patients with VH, radical nephroureterectomy with AC, radical nephroureterectomy only, and oncological survival, respectively.
Results: Four retrospective studies were included. Regarding overall survival (OS), the pooled hazard ratio was 0.61 (95% confidence interval: 0.42-0.87; p = 0.007) across two studies. Regarding cancer specific survival (CSS), the pooled hazard ratio was 0.46 (95% confidence interval: 0.25–0.84; p = 0.01) across three studies. All included studies had a high quality based on the Newcastle-Ottawa Scale. Certainty of evidence for OS was low. Certainty of evidence for CSS was moderate due to a strong association (hazard ratio &lt; 0.5). Publication bias was not significant for any studies.
Conclusion: In UTUC patients with VH, administration of AC after surgery might have better survival outcomes than surgery alone. Our study provides evidence for decision-making of clinicians who treat UTUC patients with VH.
DOI: 10.6084/m9.figshare.25610481
title: Supplementary Material for: Current fluid management practice in critically ill adults on continuous renal replacement therapy: A binational, observational study.

description: Introduction
In critically ill patients undergoing continuous renal replacement therapy (CRRT), a positive fluid balance (FB) is associated with adverse outcomes. However, current FB management practices in CRRT patients are poorly understood. We aimed to study FB and its components in British and Australian CRRT patients to inform future trials. 
Methods
We obtained detailed electronic health record data on all fluid-related variables during CRRT and hourly FB for the first seven days of treatment.
Results
We studied 1,616 patients from three tertiary ICUs in two countries. After the start of CRRT, the mean cumulative FB became negative at 31 hours and remained negative over seven days to a mean nadir of -4.1 L (95% confidence intervals (CI) of -4.6 to -3.5). The net ultrafiltration (NUF) rate was the dominant fluid variable (-67.7 mL/h; SD 75.7); however, residual urine output (-34.7 mL/h; SD 54.5), crystalloid administration (48.1 mL/h; SD 44.6), and nutritional input (36.4 mL/h; SD 29.7) significantly contributed to FB. Patients with a positive FB after 72 hours of CRRT, were more severely ill, required high-dose vasopressors and had high lactate concentrations (5.0 mmol/L; IQR 2.3 – 10.5). A positive FB was independently associated with increased hospital mortality (OR 1.70; 95% CI; p=0.004).
Conclusion
In the study ICUs, most CRRT patients achieved a predominantly NUF-dependent negative FB. Patients with a positive FB at 72 hours had greater illness severity and haemodynamic instability. Achieving equipoise for conducting trials that target a negative early FB in such patients may be difficult.
DOI: 10.6084/m9.figshare.26303929
title: Supplementary Material for: Causal effects of asthma on upper airway diseases and allergic diseases: A two-sample Mendelian randomization

description: Introduction: Asthma is associated with upper airway diseases and allergic diseases, however, the causal effects need to be investigated further. Thus, we performed this two-sample Mendelian randomization (MR) analysis to explore and measure the causal effects of asthma on allergic rhinitis (AR), vasomotor rhinitis (VMR), allergic conjunctivitis (AC), atopic dermatitis (AD), and allergic urticaria (AU).
Methods: The data for asthma, AR, VMR, AC, AD, and AU were obtained from large-scale genome-wide association studies summarized recently. We defined single-nucleotide polymorphisms satisfying the MR assumptions as instrumental variables. Inverse-variance weighted (IVW) approach under random-effects was applied as the dominant method for causal estimation. The weighted median approach, MR-Egger regression analysis, MR pleiotropy residual sum and outlier test, and leave-one-out sensitivity analysis were performed as sensitivity analysis. Horizontal pleiotropy was measured using MR-Egger regression analysis. Significant causal effects were attempted for replication and meta-analysis.
Results: We revealed that asthma had causal effects on AR (IVW, odds ratio (OR)=1.93; 95% confidence interval (CI), 1.74−2.14; p&lt;0.001), VMR (IVW, OR=1.40; 95% CI, 1.15−1.71; p&lt;0.001), AC (IVW, OR=1.65; 95% CI, 1.49−1.82; p&lt;0.001), and AD (IVW, OR=2.13; 95% CI, 1.82−2.49; p&lt;0.001). No causal effect of asthma on AU was observed. Sensitivity analysis further assured the robustness of these results. The evaluation of the replication stage and meta-analysis further confirmed the causal effect of asthma on AR (IVW OR=1.81, 95% CI 1.62-2.02, p&lt;0.001), AC (IVW OR=1.44, 95% CI 1.11-1.87, p&lt;0.001), and AD (IVW OR=1.85, 95% CI 1.42-2.41, p&lt; 0.001).
Conclusions: We revealed and quantified the causal effects of asthma on AR, VMR, AC, and AD. These findings can provide powerful causal evidence of asthma on upper airway diseases and allergic diseases, suggesting that the treatment of asthma should be a preventive and therapeutic strategy for AR, VMR, AC, and AD.
DOI: 10.15151/esrf-es-955501848
title: Ghost projection: towards an x-ray spatial light modulator

description: Ghost imaging works by preparing two copies of a patterned illumination beam. One copy is sent through the specimen and only the total intensity transmitted is recorded, by a point (or bucket) detector. The second copy is measured directly by an array detector (without passing through the sample). The first experimental x-ray ghost imaging was achieved at ID19@ESRF and reported by our team, in a landmark paper in 2016. In subsequent experiments at ID19 we produced 2D, 3D and then phase-contrast x-ray ghost imaging. This proposal takes the topic in a completely new direction: ghost projection. Rather than recording bucket-signal correlations to image an object, we establish such correlations to create a desired image. We create an arbitrary spatial distribution of intensity by illuminating a single spatially-random screen and transversely scanning it. This proposal aims at realising a 2D ghost projection proof of concept, can be considered as a spatial light modulator for x rays.
DOI: 10.15468/btkum2
title: The Plant List with literature

description: This dataset is a derivative work under the "Terms of Use for The Plant List" http://www.theplantlist.org/1.1/terms/ that (a) converts The Plant List version 1.1 CSV files into a Darwin Core Archive, and (b) adds identifiers (e.g., DOIs) and complete bibliographic details to the original citations for many of the plant names.The Plant List http://www.theplantlist.org/ is a working list of all known plant species. Version 1.1, released in September 2013, aims to be comprehensive for species of Vascular plant (flowering plants, conifers, ferns and their allies) and of Bryophytes (mosses and liverworts). It does not include algae or fungi. Version 1.1 contains 1,293,685 scientific plant names of which 350,699 are accepted species names. It includes no vernacular or common plant names.
DOI: 10.18112/openneuro.ds002718.v1.0.5
title: Face processing EEG dataset for EEGLAB
DOI: 10.25919/843a-w584
title: Vertically resolved soil carbon model (model codes and site data)

description: Sources codes and dataset Dataset: site-information02.xlsx with approval from the data providers (two pdf files) model codes, input files, output file and readme.txt files are compressed into a single file "model.7z" This collection includes source codes, inputs and output files for Wang YP et al. (2021) Microbial activity and root carbon inputs are more important than soil carbon diffusion in simulating soil carbon profiles. JGR: Biogeoscience, Under review
DOI: 10.34973/cwja-hc66
title: Self-regulation of stress-related large-scale brain network balance using real-time fMRI Neurofeedback

description: It has recently been shown that acute stress affects the allocation of neural resources between large-scale brain networks, and the balance between the executive control network and the salience network in particular. Maladaptation of this dynamic resource reallocation process is thought to play a major role in stress-related psychopathology, suggesting that stress resilience may be determined by the retained ability to adaptively reallocate neural resources between these two networks. Actively training this ability could hence be a potentially promising way to increase resilience in individuals at risk for developing stress-related symptomatology. Using real-time functional Magnetic Resonance Imaging, the current study investigated whether individuals can learn to self-regulate stress-related large-scale network balance. Participants were engaged in a bidirectional and implicit real-time fMRI neurofeedback paradigm in which they were intermittently  provided with a visual representation of the difference signal between the average activation of the salience and executive control networks, and tasked with attempting to self-regulate this signal. Our results show that, given feedback about their performance over three training sessions, participants were able to (1) learn strategies to differentially control the balance between SN and ECN activation on demand, as well as (2) successfully transfer this newly learned skill to a situation where they (a) did not receive any feedback anymore, and (b) were exposed to an acute stressor in form of the prospect of a mild electric stimulation. The current study hence constitutes an important first successful demonstration of neurofeedback training based on stress-related large-scale network balance – a novel approach that has the potential to train control over the central response to stressors in real-life and could build the foundation for future clinical interventions that aim at increasing resilience.
DOI: 10.5281/zenodo.10966120
title: Dataset: Intercomparison of flux, gradient, and variance-based optical turbulence ($C_n^2$) parameterizations

description: This repository contains the dataset for the manuscript

Pierzyna, M, et al. "Intercomparison of flux, gradient, and variance-based optical turbulence (Cn2) parameterizations." Applied Optics, 2024. https://doi.org/10.1364/AO.519942

The data is organized in the following structure:



`met_cn2_*_10m.nc`: netCDF files containing Cn2 estimated from meteorological data obtained at the CESAR site  using the flux-based and gradient-based methods at the 10 m level.

`wrf_cn2_*.nc`:     netCDF files containing Cn2 estimated from WRF model output using the variance-based method (80m)  and flux, gradient, and variance-based methods (10m).

`wrf_meteo_*.nc`:   netCDF files containing a cross-section of CESAR site extracted from WRF model output. This data  serves as input for `wrf_cn2_*.nc` files.
DOI: 10.5281/zenodo.11066493
title: Raw data for "Adaptive multi-beam X-ray ptychography"
DOI: 10.5281/zenodo.6277287
title: Public BI benchmark - part 1

description: Originally published on: https://github.com/cwida/public_bi_benchmark Originally compressed with bzip2. Compressed here with gzip. "User generated benchmark derived from the DBTest'18 paper [1] by Tableau. It contains real data and queries from 46 public workbooks in Tableau Public [2]. We downloaded 46 of the biggest workbooks and converted the data to <em>.csv</em> files and collected the SQL queries that appear in the Tableau log when the workbooks are visualized. We processed the <em>.csv</em> files and queries with the purpose of making them load and run on different database systems. Each directory is associated with a workbook and contains: <pre><code>samples: a sample of each .csv file (first 20 rows) tables: .sql files containing the schema of each .csv file queries: .sql files containing the queries data-urls.txt: links for downloading the full .csv.bz2 compressed files </code></pre> There are 46 workbooks containing 206 tables (.csv files) with the total size of 41 GB compressed and 386 GB uncompressed. Multiple .csv files may overlap but are not identical. This is because Tableau extracts the same workbook in multiple different ways for different queries."
DOI: 10.6084/m9.figshare.25117154
title: Supplementary Material for: Increased risk of dementia after transient global amnesia: a nationwide population-based, longitudinal follow-up study in South Korea

description: Introduction: 
The long-term cognitive outcomes after transient global amnesia (TGA) have been contradictory in the literature. Our study aimed to longitudinally investigate the association between TGA and incident dementia using long-term data from a nationwide population-based cohort in South Korea. 
Methods: 
The study population was recruited between 2002 and 2020 using the International Classification of Diseases (tenth revision; ICD-10) codes from the Korean National Health Insurance Service database. The cumulative incidence curve was plotted to compare the incidence of dementia between the TGA (ICD-10 code G45.4; n = 10,276) and non-TGA (n = 27,389) groups, determined using 1:3 propensity score matching. Using Cox proportional hazard regression models, we obtained crude and adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for the incident dementia in patients with TGA compared to non-TGA controls. To examine independent variables determining dementia in the TGA group, logistic regression analysis was performed, and adjusted odds ratios (aORs) and 95% CIs were calculated. 
Results: 
The TGA group had a significantly higher cumulative incidence of dementia than the non-TGA group (p &lt;0.001, log-rank test). TGA was significantly associated with incident dementia in the univariate and multivariate Cox models (HR 1.34, 95% CI 1.28–1.39 and aHR 1.40, 95% CI 1.34–1.46, respectively). The adjusted logistic regression for incident dementia in the TGA group showed that age (per 1 year, aOR 1.09, 95% CI 1.09–1.10), female sex (aOR 1.31, 95% CI 1.18–1.45), diabetes (aOR 1.21, 95% CI 1.08–1.35), stroke (aOR 1.30, 95% CI 1.16–1.46), depression (aOR 1.53, 95% CI 1.33–1.76), anxiety (aOR 1.24, 95% CI 1.01–1.39), and rural residence (aOR 1.24, 95% CI 1.10–1.41) were independently associated with incident dementia.
Conclusion: 
Our results suggest a longitudinal association of TGA with incident dementia.
DOI: 10.6084/m9.figshare.26347192
title: Supplementary Material for: We Need to Nail It: Dermatology Resident Survey Highlighting Lack of Education for Nail Matrix Biopsies

description: Introduction
Dermatologists are experts in the skin, hair, and nails. However, it is the authors’ perception that many dermatologists lack comfort in performing nail matrix biopsies. 
Methods
Concerned for inadequate training, we surveyed US dermatology residents to assess their exposure to this procedure. 
Results
Of the 130 respondents, 43 were PGY4 residents. Of these, 37.21% had never observed and 62.79% had never performed a nail matrix tangential shave biopsy. Similarly, 32.56% had never observed and 58.14% had never performed a nail matrix punch biopsy. Overall, 83.8% of all residents did not feel comfortable with and 71.5% did not anticipate feeling comfortable with performing nail matrix biopsies by residency completion. 

Interestingly, size of the training program and presence of a nail expert at the institution did not increase comfort levels in performing nail matrix biopsies (p=0.348 and p=1.0, respectively). Additionally, the presence of a nail expert did not affect the number of biopsies observed or performed by residents. The only statistically significant associations were between year of training (p&lt;0.001) and having a formalized curriculum and comfort with nail matrix biopsies (p=0.002). 
Conclusions
Our survey highlights a potential lack of instruction in performing nail matrix biopsies in US dermatology residencies and calls for improved resident education.
DOI: 10.6084/m9.figshare.26494057
title: Supplementary Material for: Gender Disparity of Automatic Implantable Cardioverter Defibrillator Placement for Primary Prevention: National Inpatient Sample Analysis

description: Introduction

Automatic Implantable Cardioverter-Defibrillators (AICD) for the primary prevention of sudden cardiac death (SCD) have become standard care for patients with systolic heart failure (sHF) and ejection fraction &lt; 35%. While the prevalence of sHF and rates of hospitalization are higher in men; one would expect equivalent rates of implantation in women. 

Methods

We used the Healthcare Cost and Utilization Project’s National Inpatient Sample (NIS) from 2009-2018 to identify patient visits with sHF and AICD implantation. The co-morbidities and outcomes were compared based on gender.

Results

There were 15,247,854 inpatient admissions for sHF, of which 60.3% males, (95% CI 60.1%-60.4%) and 39.8% females (95% CI 39.7%-39.9%). Approximately 2% of patients (294,726) underwent the insertion of an AICD for primary prevention; 72.3% males (95% CI 71.9%-72.7%) and 27.72% females (95% CI 27.3%-28.1%). There was no significant difference in age (p=0.29), length of Stay (LOS) (p=0.09) and inpatient mortality (p=0.18). 

Conclusion

In this study, women accounted for approximately 40% of patients admitted with the diagnosis of sHF, however, they accounted for less than 30% of patients who underwent the insertion of an AICD. Further research is needed to better understand this gender disparity and identify reasons for the lower rates of AICD placement in women.
DOI: 10.11583/dtu.21762830.v1
title: Ready-To-Train AI4Arctic Sea Ice Challenge Test Dataset

description: The AI4Arctic Sea Ice Challenge Datasets are produced for the AI4EO sea ice competition initiated by the European Space Agency (ESA) ɸ-lab. The purpose of the competition is to develop deep learning models to automatically produce sea ice charts including sea ice concentration, stage-of-development and floe size (form) information. The training datasets contain Sentinel-1 active microwave Synthetic Aperture Radar (SAR) data and corresponding passive MicroWave Radiometer (MWR) data from the AMSR2 satellite sensor. While SAR data has ambiguities between open water and sea ice, it has a high spatial resolution, whereas MWR data has good contrast between open water and ice. However, the coarse resolution of the AMSR2 MWR observations introduces a new set of obstacles, e.g. land spill-over, which can lead to erroneous sea ice predictions along the coastline adjacent to open water. Label data in the challenge datasets are ice charts, that have been produced by the Greenland ice service at the Danish Meteorological Institute (DMI) and the Canadian Ice Service (CIS) for the safety of navigation. The challenge datasets also contain other auxiliary data such as the distance to land and numerical weather prediction model data. The scenes are from the time period from January 8 2018 to December 21 2021. Two versions of the dataset exist, the '<em>raw'</em> and '<em>ready-to-train'-</em>versions with corresponding test datasets<em>. </em>The datasets each consist of the same 513 training and 20 test (without label data) scenes. The ‘<em>ready-to-train’</em>-version has been further prepared for model training, such as downsampled data from 40 to 80 m pixel spacing, standard scaled, converted ice charts (sea ice concentration, stage of development and floe size), removal of nan values, mask alignment etc. This is the Test data for the Ready-To-Train version. Reference data is not included. Further details are described in the common manual that is published together with the datasets; “AI4Arctic_challenge-dataset-manual”. Code with a get-started toolkit for the '<em>ready-to-train</em>' dataset: https://github.com/astokholm/AI4ArcticSeaIceChallenge A quick challenge video overview of the challenge is available at: https://youtu.be/iuXIeLPyKfg This item is part of the Collection https://doi.org/10.11583/DTU.c.6244065
DOI: 10.11583/dtu.21762848.v1
title: Raw AI4Arctic Sea Ice Challenge Test Dataset

description: The AI4Arctic Sea Ice Challenge Datasets are produced for the AI4EO sea ice competition initiated by the European Space Agency (ESA) ɸ-lab. The purpose of the competition is to develop deep learning models to automatically produce sea ice charts including sea ice concentration, stage-of-development and floe size (form) information. The training datasets contain Sentinel-1 active microwave Synthetic Aperture Radar (SAR) data and corresponding passive MicroWave Radiometer (MWR) data from the AMSR2 satellite sensor. While SAR data has ambiguities between open water and sea ice, it has a high spatial resolution, whereas MWR data has good contrast between open water and ice. However, the coarse resolution of the AMSR2 MWR observations introduces a new set of obstacles, e.g. land spill-over, which can lead to erroneous sea ice predictions along the coastline adjacent to open water. Label data in the challenge datasets are ice charts, that have been produced by the Greenland ice service at the Danish Meteorological Institute (DMI) and the Canadian Ice Service (CIS) for the safety of navigation. The challenge datasets also contain other auxiliary data such as the distance to land and numerical weather prediction model data. The scenes are from the time period from January 8 2018 to December 21 2021. Two versions of the dataset exist, the '<em>raw'</em> and '<em>ready-to-train'-</em>versions with corresponding test datasets<em>. </em>The datasets each consist of the same 513 training and 20 test (without label data) scenes. The ‘<em>ready-to-train’</em>-version has been further prepared for model training, such as downsampled data from 40 to 80 m pixel spacing, standard scaled, converted ice charts (sea ice concentration, stage of development and floe size), removal of nan values, mask alignment etc. This is the testing data for the '<em>raw'</em>-version<em>.</em> No reference data is included. Further details are described in the common manual that is published together with the datasets; “AI4Arctic_challenge-dataset-manual”. Code with a get-started toolkit for the '<em>ready-to-train</em>' dataset: https://github.com/astokholm/AI4ArcticSeaIceChallenge A quick challenge video overview of the challenge is available at: https://youtu.be/iuXIeLPyKfg This item is part of the Collection https://doi.org/10.11583/DTU.c.6244065
DOI: 10.1285/i20356609v15i2p482
title: Turning to the Right? The Impact of the "Long Crisis Decade" (2008-2019) on Right-wing Populist Vote and Attitudes in Europe

description: This paper questions the thesis that transformations in European politics after the financial, eurozone, and migrant crises have been led by populist radical right (PRR) and left (PRL) parties and attitudes in Northwestern (NWE) and Southern (SE) Europe, respectively. Contrary to most of the literature, we claim that, although the populist radical left has grown in SE, the more significant outcome of the crises has been to push PRR parties to a similar (high) consensus in SE and NWE. We also argue that the crises facilitated the growth of PRR forces in SE more than NWE. To test this perspective, we analysed elections and citizens' orientations towards the key issues of populism - immigration, European integration, "authoritarianism versus liberal democracy" and "state versus market" - in five NWE and four SE countries. Findings show that during the "long crisis decade" (2008-2019) there has been an alignment on right-wing populism between European regions.
DOI: 10.18112/openneuro.ds003061.v1.1.2
title: EEG data from an auditory oddball task