cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28429016
title: Supplementary Material for: Behavior Risk Factors for Non-Communicable Diseases and Caries in Adolescents: A Population Study

description: Introduction: Caries is the most widespread non-communicable disease (NCD) globally and can predict fatality NCDs in the future, such as diabetes and cardiovascular diseases. Therefore, we hypothesized that the behavioral risk factors for those NCDs may be present in adolescents with caries. Objective: To analyze the association of unhealthy diet, tabagism, and alcohol with caries in adolescents. Methods: This population-based study with a cross-sectional design used data from 2515 adolescents aged 18-19 yo, born in São Luís-MA, Brazil, and part of the RPS Cohort Consortium. The exposures were the latent variables of the Unhealthy Diet Pattern (sugars, fast foods, and salty snacks) and Addictive Behaviors (tabagism and risk of alcohol dependence). The outcome was the number of decayed teeth. The model adjustment considered the Socioeconomic Status (head of household education, adolescent education, economic class, and monthly family income) as a distal determinant and the oral biofilm as a mediator between the exposures and the outcome, analyzed by Structural Equation Modeling (SEM), using the Mplus 8.0 software. Results: Unhealthy Diet Pattern was associated with a higher number of decayed teeth directly (SC=0.092, p≤0.001) and indirectly via dental biofilm (SC=0.020, p≤0.001). Addictive Behaviors were associated with a higher number of decayed teeth indirectly via dental biofilm (SC=0.019, p=0.013). The Unhealthy Diet Pattern and Addictive Behaviors were associated with each other (CP=0,199; p&lt;0,001). Conclusion: Besides sugars, other behavioral risk factors for NCDs underlie caries, emphasizing the importance of comprehensive adolescent health care.
DOI: 10.6084/m9.figshare.28429022
title: Supplementary Material for: Comorbidity Patterns in Patients with First-ever Acute Ischemic Stroke and Their Associations with Functional Outcomes

description: Background and purpose: Acute ischemic stroke (AIS) is the most prevalent type of stroke, associated with a significant burden of functional impairments. About 94.2% of AIS patients present with multiple comorbidities, but how they affect AIS prognosis remains largely unknown. This study aims to comprehensively assess the associations of a wide range of AIS-related comorbidities, their patterns, with functional impairments in AIS patients.

Method: This study utilized data from the China National Stroke Registry 3 (CNSR3), a prospective registry encompassing 201 Chinese hospitals from August 2015 to March 2018. A total of 10,508 AIS patients were included, with a median age of 62.0 years (IQR: 54.0–70.0), and 65% were female. Eighteen AIS-related comorbidities were considered in the analysis and frequent pattern mining was employed to identify potential comorbidity patterns among AIS patients. Functional outcomes at one year after an AIS event were assessed using the Modified Rankin Scale (mRS). Logistic regression models were utilized to evaluate associations of comorbidities, their patterns with AIS prognosis. Furthermore, association rule mining was applied to explore the hidden comorbidity combinations, and their relationship with functional outcomes based on the identified patterns. 

Results: Comorbidity was observed in 88.9% of AIS patients. The majority of AIS patients exhibited one to three comorbidities. Eight patterns of main comorbidities among AIS patients were identified. The pattern of common metabolic disorders, coronary heart disease, and atrial fibrillation demonstrated the strongest association (OR = 2.49, 1.59 to 3.89) with the development of poor functional outcomes. The further combination of heart failure, and arthritis significantly increases the probability of poor functional outcomes, with lifts of 3.11 and 5.52, respectively. 

Conclusions: Our study revealed that comorbidity is highly prevalent among AIS patients in China, encompassing diverse patterns. Specific comorbidities and comorbidity patterns are closely associated with poor functional outcomes. Our findings emphasized the importance of prioritizing comprehensive management of AIS and AIS-related comorbidities to reduce the risk of disability among AIS patients.
DOI: 10.6084/m9.figshare.28430369
title: Supplementary Material for: Effect of Acupuncture on Dysphagia After Stroke: A Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Trials

description: Introduction: Post-stroke dysphagia (PSD) is a highly prevalent dysfunction after stroke, characterized by high mortality and seriously affecting the quality of life of patients. Previous studies have shown that acupuncture improves symptoms of PSD. However, repeated tests of significance may exaggerate Type I errors. To update the evidence on the effectiveness and safety of acupuncture for PSD using a meta-analysis and trial sequential analysis (TSA).
Methods: A comprehensive search of PubMed, Embase, Cochrane Library, and Web of Science was conducted to identify randomized controlled trials evaluating the effects of acupuncture on PSD. Trials published up to September 15, 2024, meeting the predetermined inclusion criteria, were included.
Results: Twenty studies involving 1,718 participants were included. Combined acupuncture with rehabilitation therapies significantly improved the Standard Swallowing Assessment (mean difference [MD] = -3.64, 95% confidence interval (CI): -4.72 to -2.56, p &lt; 0.0001), Videofluoroscopic Swallowing Study scale (MD = 1.49, 95% CI: 0.89 to 2.09, p &lt; 0.0001), Water Swallow Test (MD = -0.72, 95% CI: -0.96 to -0.47, p &lt; 0.0001), and Swallowing Quality of Life Questionnaire (MD = 16.56, 95% CI: 9.94 to 23.18, p &lt; 0.0001). TSA indicated that the sample size exceeded the required information size. In addition, acupuncture showed safety for PSD treatment (relative ratio [RR] = 1.23, 95% CI: 0.70 to 2.17, p = 0.48); however, the sample size was insufficient.
Conclusions: TSA demonstrated the positive effects of acupuncture on swallowing function in patients with PSD. Nonetheless, high-quality trials are needed to validate the safety of acupuncture.
DOI: 10.6084/m9.figshare.28430372
title: Supplementary Material for: The prediction of hematoma growth in acute intracerebral hemorrhage: from 2-dimensional shape to 3-dimensional morphology

description: Introduction: The relationship between the 3-dimensional morphological features of hematoma and hematoma growth (HG) remains unclear. We aim to quantitatively assess the predictive value of 3-dimensional hematoma morphology for HG among patients with intracerebral hemorrhage (ICH). 
Methods: Our study comprised 312 consecutive ICH patients. Using semi-automated volumetric analysis software, we measured hematoma volumes and delineated the region of interest. We employed Python software to extract shape features, and receiver operating characteristic curve analysis to assess the predictive performance of hematoma morphology for HG. P value &lt; 0.05 was considered statistically significant. 
Results: Sphericity and SurfaceArea emerged as the most effective 3-dimensional hematoma morphological predictors for HG. Optimal cutoff points relating to HG were Sphericity ≤ 0.56 and SurfaceArea &gt; 55 cm2. We subsequently constructed the 3-dimensional morphology models, including the probability of hematoma morphology (PHM) and the probability of comprehensive model (PCM), to predict HG. The PHM model outperformed the irregular hematoma (p = 0.007), island sign (p = 0.032), and satellite sign (p &lt; 0.001) in predictive accuracy for HG. Amongst all prediction models, the PCM presented the highest predictive value for active bleeding.
Conclusions: The Sphericity≤0.56 and SurfaceArea &gt;55 cm2 could represent the optimal threshold for HG prediction. PHM was considered a reliable 3-dimensional morphology model for HG prediction. PCM tended to be a better model for risk stratification of active bleeding in acute ICH patients.
DOI: 10.6084/m9.figshare.28442036
title: Supplementary Material for: Refractory subcutaneous panniculitis-like T-cell lymphoma with hemophagocytic syndrome treated with romidepsin and allogeneic hematopoietic cell transplantation

description: Introduction: Subcutaneous panniculitis-like T-cell lymphoma (SPTCL) is a rare subtype of cutaneous T-cell lymphoma (CTCL) that when refractory or complicated by hemophagocytic syndrome (HPS) has a poor prognosis. Romidepsin is a histone deacetylase inhibitor (HDACi), but its efficacy for SPTCL is unknown. The efficacy of allogeneic hematopoietic cell transplantation (allo-HCT) is also unclear. Herein, we report a case of refractory SPTCL with HPS that was successfully treated with romidepsin followed by consolidation with allo-HCT. Case Presentation: A 26-year-old female presented with fever, generalized painful erythema, pancytopenia, and hemophagocytosis. 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET-CT) showed diffuse PET-avid infiltration of the subcutaneous adipose tissue found to be SPTCL via skin biopsy. Her SPTCL was refractory to conventional chemotherapy but complete metabolic response (CMR) was achieved after romidepsin. An allo-HCT was used for consolidation, and she remains in complete remission three years later. Conclusion: Romidepsin with allo-HCT consolidation may be an effective approach for refractory SPTCL..
DOI: 10.7288/v4/magic/20210
title: Low Geomagnetic Paleointensity in the Mid‐Part of the Kiaman Superchron (Dataset)

description: Paleomagnetic, rock magnetic, or geomagnetic data found in the MagIC data repository from a paper titled: Low Geomagnetic Paleointensity in the Mid‐Part of the Kiaman Superchron
DOI: 10.14284/359
title: World Porifera Database. Accessed at https://www.marinespecies.org/porifera on yyyy-mm-dd

description: The WPD, the World Database of all Recent sponges ever described, is part of the World Register of Marine Species (WoRMS), a global initiative to arrive at a register of all marine organisms. The WPD is complementary to the Systema Porifera (editors Hooper & Van Soest, 2002), the two volume comprehensive classification of all sponge taxa above the species level. It incorporates recent and future amendments of the sponge classification, including the recently proposed revision of Morrow & Cárdenas (2015).
description: The aim for the WPD is to be a catalogue of sponge species in a continuously updated, fully hierarchical system to promote stability of sponge names, to serve the community of users of sponge names, and to act as a tool for higher taxon revisions and regional monographs. A further aim is to be the world’s comprehensive database for sponge type specimens and other important vouchered specimens. Additional information we are making available are (overview) distributions of all species and unaccepted name combinations occurring in the literature.
DOI: 10.17632/rscbjbr9sj.1
title: Labeled Optical Coherence Tomography (OCT) for Classification

description: Dataset of validated OCT images described and analyzed in "Deep learning-based classification and referral of treatable blinding retinal diseases" by Kermany et al. Images are split into a training set and a testing set of independent patients. Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL.
DOI: 10.17909/s0zg-jx37
title: Pan-STARRS1 DR2 Catalog

description: Data release 2 object catalog from the Pan-STARRS1 survey
DOI: 10.20350/digitalcsic/16591
title: Interaction networks plants-arbuscular mycorrhizal fungi in Mediterranean ecosystems [Dataset]

description: Arbuscular mycorrhizas (AM) are one of the most frequent mutualisms in terrestrial ecosystems where fungi colonized plant roots. This dataset comprises information on the presence and abundance of different AM fungal taxa, in the form of virtual taxa, in woody plant species of two Mediterranean natural areas of South Spain. The data was generated by meta-barcoding the 18S rDNA of AM fungi in plant roots via MiSeq sequencing. This dataset contains more information regarding sampling source regarding the previous version stored in Dryad repository
DOI: 10.24432/c5002n
title: Combined Cycle Power Plant
DOI: 10.24432/c5830d
title: Computer Hardware
DOI: 10.24432/c5902f
title: Behavior of the urban traffic of the city of Sao Paulo in Brazil
DOI: 10.24432/c5cw3d
title: HAR70+
DOI: 10.24432/c5d88d
title: Forest Fires
DOI: 10.24432/c5fg7d
title: Concrete Slump Test
DOI: 10.24432/c5pg66
title: Electrical Grid Stability Simulated Data
DOI: 10.24432/c5qk55
title: Facebook Metrics
DOI: 10.24432/c5vw2c
title: Airfoil Self-Noise
DOI: 10.24432/c5w32r
title: Synchronous Machine
DOI: 10.24432/c5xg7r
title: Yacht Hydrodynamics
DOI: 10.25625/cdcmyt
title: On Discontinuous- and Continuous-In-Time Unfitted Space-Time Methods for PDEs on Moving Domains

description: Master’s thesis document "On Discontinuous- and Continuous-In-Time Unfitted Space-Time Methods for PDEs on Moving Domains" of Fabian Heimann (examiner and co-examiner: Christoph Lehrenfeld & Gert Lube) (October 2020)
DOI: 10.26050/wdcc/cd_priver_eur
title: Total phosphorus transport and river runoff over Europe

description: Project: coastDat - Regional Water and Matter Fluxes at the Land-Ocean Interface - In order to better understand the global coastal systems and the dangers and risks associated with them, it is important to examine the atmosphere, the land, hydrology, the ocean and especially their interactions and feedbacks. In this project, we provide data on water and matter transport at the land surface. Currently, contributions were made by Umweltforschungszentrum Leipzig (UFZ) and the “Regional Land and Atmosphere Modeling” department of the Institute of Coastal Systems - Analysis and Modeling at Helmholtz-Zentrum Hereon as well as from NIOZ and IOW. Our aim is to quantify the associated cycles of water and matter and their changes, mainly for the transition from land to the ocean. Our work contributes to GCOAST (Geesthacht Coupled cOAstal model SysTem) --&gt; https://www.hereon.de/institutes/coastal_systems_analysis_modeling/research/gcoast/index.php.en
Summary: A set of five simulations for river runoff and total phosphorus transport within the European riverine system, driven by human activity and climate change. These simulations were carried out with the Hydrological Discharge model (Hagemann et al. 2020). 

The hindcast simulation utilizes hydrological forcings from HydroPy model (Stake and Hagemann, 2021) driven with the Global Soil Wetness Project Phase 3 (GWSP3; Dirmeyer et al. 2006; Kim 2017) atmospheric dataset, and phosphorus concentrations from the IMAGE-GNM model (Beusen et al. 2015). 

The historical simulation, along with three future scenarios, utilize hydrological forcings derived from the global Earth system model GFDL-ESM4 (John et al.2018), and phosphorus concentrations base on a newly developed parameterization. This parametrization incorporates land-use types and fertilizer application data in the form of nitrogen amounts from the Land-Use Harmonization 2 (LUH2; Hurtt et al. 2020).

To account for the effects of human activity and climate change, the simulations employ three integrated scenarios that combine the Shared Socioeconomical Pathways (SSP) narratives and the Representative Concentration Pathways (RCP), specifically SSP1-RCP2.6, SSP3-RCP7.0 and SSP5-RCP8.5.

This research was funded by the Cluster of Excellence "Climate, Climatic Change, and Society" (CLICCS), project No 390683824, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2037. Computational resources were made available by the German Climate Computing Center (DKRZ) through support from the German Federal Ministry of Education and Research (BMBF). We gratefully acknowledge the University of Hamburg for providing the data used in this study as part of the GLOWACHEM project, a component in the CLICCS framework.
DOI: 10.48670/moi-00179
title: GLOBAL OCEAN L3 SIGNIFICANT WAVE HEIGHT FROM NRT SATELLITE MEASUREMENTS
DOI: 10.5066/p9mxy6rc
title: 2023 NSHM western United States GPS velocities

description: Global positioning system (GPS) data were compiled and processed to support models for seismic hazard assessment that will be included in the 2023 USGS National Seismic Hazard Model (NSHM). This data release presents the updated GPS velocity field for the western United States. Data processing centers and field networks, seven in total, supported this work, and solutions include both survey and continuous-mode GPS velocity measurements. Processing procedures were followed according to the UCERF3 (Uniform California Earthquake Rupture Forecast version 3) and the 2014 NSHM deformation modeling project. The final velocity field consists of 4,979 horizontal velocity vectors.
DOI: 10.5281/zenodo.10822033
title: DICOM WG-26 Whole Slide Imaging Annotations Connectathon: Imaging Data Commons entry

description: This data descriptor contains DICOM Slide Microscopy (SM modality) images and DICOM 2D point and polygon Bulk Annotations (ANN modality) submitted by the Imaging Data Commons team as part of the participation in the 2024 DICOM Working Group 26 Annotations Connectathon (https://dicom-wg26-connectathons.github.io/2024-annotations/).

Detailed content of the descriptor is as follows:



Images correspond to 3 series selected from the DICOM-converted slides incuded in the TCGA-READ collection (originally shared in vendor-specific format in https://portal.gdc.cancer.gov/projects/TCGA-READ) and available from NCI Imaging Data Commons [1] at https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=tcga_read. Specifically, the following series are included, as defined by their `PatientID`, `StudyInstanceUID` and `SeriesInstanceUID` values. Each individual series contains multiple files corresponding to different resolution layers, shared as zip files. 



`TCGA-AF-2687.zip`: series `1.3.6.1.4.1.5962.99.1.2251401802.152239158.1638633974346.2.0` https://viewer.imaging.datacommons.cancer.gov/slim/studies/2.25.213661963103110408605329613498871186883/series/1.3.6.1.4.1.5962.99.1.2251401802.152239158.1638633974346.2.0

`TCGA-AF-2689.zip`: series `1.3.6.1.4.1.5962.99.1.2259090539.712983657.1638641663083.2.0` https://viewer.imaging.datacommons.cancer.gov/slim/studies/2.25.312916405820155829215771528638931942827/series/1.3.6.1.4.1.5962.99.1.2259090539.712983657.1638641663083.2.0

`TCGA-AF-2690.zip`: series `1.3.6.1.4.1.5962.99.1.2247972296.1080138101.1638630544840.2.0` https://viewer.imaging.datacommons.cancer.gov/slim/studies/2.25.158926540358526295486644564130790202309/series/1.3.6.1.4.1.5962.99.1.2247972296.1080138101.1638630544840.2.0



`polygon_annotations.zip`: 2D polygon annotations of the boundary of the cell nuclei. Conversion into DICOM ANN was performed from the original content shared in [2].

`point_annotations.zip`: 2D point annotations corresponding to the centroids of the cell nuclei defined in the prior polygon annotations.

`rectangle_annotations.zip`: 2D rectangle annotations corresponding to the axis-aligned bounding box of the cell nuclei defined in the prior polygon annotations.

`ellipse_annotations.zip`: 2D ellipse annotations corresponding to the ellipse fit to the cell nuclei defined in the prior polygon annotations.

`screenshots.pdf`: screenshots demonstrating visualization of the included annotations in the open source Slim viewer (https://github.com/ImagingDataCommons/slim) (note these visualizations were produced using a development branch of the software)

`run_verify.sh`: script that was used to run `dciodvfy` validator and save validation results.


Zip files with the annotations also include the output of the `dciodvfy` validator (https://dclunie.com/dicom3tools/dciodvfy.html) version `20240227102104` for each of the files.
DOI: 10.5281/zenodo.13219207
title: Repository for the codes and raw dataset used in the paper: Testing driving mechanisms of megathrust seismicity with Explainable Artificial Intelligence.

description: This repository contains the codes/notebooks and raw dataset used in the paper:

Testing driving mechanisms of megathrust seismicity with Explainable Artificial Intelligence. by Juan Carlos Graciosa, Fabio A. Capitanio, Adam Beall, Mitchell Hargreaves, Thyagarajulu Gollapalli, Titus Tang, Mohd Zuhair

xai-megathrust:

This directory contains the following:

1. helper_pkg: Package containing helper routines used during the creation of grids.2. in-data: Contains the processed but non-standardized features. Standardization is done during runtime.3. ml4szeq: Main set of codes used in the study.4. ntbk: Notebooks used in the study. This includes the sampling of the raw data into grids (0_grid_sampling.ipynb), creation of classification maps (1_make_classification_maps.ipynb), and the creation of LRP heatmaps (2_make_lrp_heatmaps.ipynb).5. vis_pkg: Package used for creating maps

 

xai-megathrust-raw-data:

This contains the raw dataset. Here, the data prefix indicates the convergent region it is a part of and are as follows:

1. alu: Alaska-Aleutians2. cam: Central America3. izu: Izu-Bonin-Mariana4. ker: Tonga-Kermadec5. kur: Japan-Kuriles-Kamchatka6. ryu: Ryukyu-Nankai7. sam: South America8. sum: Southeast Asia 

This was adapted from the notation used by Hayes et al., 2018.
DOI: 10.5281/zenodo.13992659
title: Transmission of yeast and bacterial symbionts between sexual partners in Drosophila suzukii and Drosophila melanogaster

description: Data from "Transmission of yeast and bacterial symbionts between sexual partners in Drosophila suzukii and Drosophila melanogaster"
DOI: 10.6084/m9.figshare.28229846
title: Supplementary Material for: Impact of Helicobacter pylori on immune checkpoint inhibition in hepatocellular carcinoma: a multicenter study

description: Background: Immunomodulating effects of Helicobacter pylori (H.pylori) have been shown to inhibit antitumor immunity. Resistance to immune checkpoint inhibitor (ICI)-based therapies is common among patients with hepatocellular carcinoma (HCC).
Objective: The study aims to assess the effect of H.pylori on the outcomes of ICI in patients with HCC.
Methods: We conducted a multicenter study in patients with HCC across a broad range of treatments. Patients received either ICI-based combination regimens or sorafenib-based therapy. H.pylori serostatus and virulence factors were determined and correlated with overall survival (OS), progression-free survival (PFS), and safety across the treatment modalities.
Results: 180 patients with HCC were included; among these, 64 were treated with ICI- and 116 with sorafenib-based regimen. In patients treated with ICI, median OS was shorter in H.pylori-positive patients (10.9 months in H.pylori-positive vs 18.3 months; p=0.0384). H.pylori-positivity was associated with a shorter PFS in ICI recipients (3.9 months vs 6.8 months, p=0.0499). In patients treated with sorafenib, median OS was not shorter among H.pylori-positive patients (13.4 months in H.pylori-positive vs 10.6 months; p=0.3353). Immune-related adverse events and rates of gastrointestinal bleeding were comparable between H.pylori-positive and -negative patients.
Conclusion: H.pylori seropositivity was linked to poorer outcomes in patients with HCC treated with ICI. This association was not observed among patients receiving sorafenib-based therapies.
DOI: 10.15468/dl.95ex9s
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tulipa uniflora (L.) Besser ex Baker"
 ]
}

 The dataset includes 568 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002848-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.