cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10447519
title: CESM2 AGrIS simulation output (2015-2100): The nonlinear and distinct responses of ocean heat content and anthropogenic carbon to ice sheet freshwater discharge in a warming climate

description: Future (2015-2100) output from one of four CESM2 simulations aimed at exploring the impacts of single and combined Greenlandic and Antarctic freshwater discharge on the Southern Ocean over the 21st century. Contained in these files are the primary model output variables needed to investigate anthropogenic ocean heat and carbon content, sea ice fraction, and meridional overturning circulation. "GrIS_AIS" ("AGrIS") refers to a simulation with simultaneously increasing liquid and solid freshwater runoff from both the Greenland and Antarctic Ice Sheets. "ssp585" refers to the period from Jan 2015 - Dec 2099 which was run under SSP5-8.5 CMIP6 atmospheric forcing. Each variable is output as a global field with ∼0.9×1.25∘∼0.9×1.25∘ horizontal resolution and monthly temporal resolution. Potential density and temperature both contain 60 depth levels.

Ocean Heat Content

1. "FW_GrIS_AIS_ssp585.pop.h.TEMP.201501-209912.nc" contains the temperature field from Jan 2015 - Dec 2099 for the combined AIS and GrIS ("AGrIS") simulation

2. "FW_GrIS_AIS_ssp585.pop.h.SALT.201501-209912.nc" contains the salinity field from Jan 2015 - Dec 2099 for the combined AIS and GrIS ("AGrIS") simulation

Ocean Carbon Content

3. "FW_GrIS_AIS_ssp585.pop.h.DIC.201501-209912.nc" contains the dissolved inorganic carbon field from Jan 2015 - Dec 2099 for the combined AIS and GrIS ("AGrIS") simulation

4. "FW_GrIS_AIS_ssp585.pop.h.DIC_ALT_CO2.201501-209912.nc" contains the dissolved inorganic carbon (altervative CO2) field from Jan 2015 - Dec 2099 for the combined AIS and GrIS ("AGrIS") simulation

Meridional Overturning Circulation

5. "FW_GrIS_AIS_ssp585.pop.h.MOC.201501-209912.nc" contains the meridional overturning circulation field from Jan 2015 - Dec 2099 for the combined AIS and GrIS ("AGrIS") simulation

Sea Ice

6. "FW_GrIS_AIS_ssp585.pop.h.IFRAC.201501-209912.nc" contains the sea ice fraction field from Jan 2015 - Dec 2099 for the combined AIS and GrIS ("AGrIS") simulation

 

Please contact Tessa Gorte if you have any questions about these data and/or the simulations used to generate them.
DOI: 10.5281/zenodo.13225019
title: Supporting Information for Competing phases of iron at Earth's core conditions from deep-learning-aided ab-initio simulations
DOI: 10.6084/m9.figshare.27900147
title: Supplementary Material for: RESULTS OF LONG-TERM THERAPY WITH A BIOSIMILAR OF ECULIZUMAB IN PATIENTS WITH PAROXYSMAL NOCTURNAL HEMOGLOBINURIA

description: Introduction. The study aimed to assess the safety, immunogenicity, and efficacy of long-term therapy with biosimilar of eculizumab (Elizaria®) in PNH patients. Methods. The study included 30 patients with PNH who had completed previous clinical trials. Of these, 25 patients continued receiving the biosimilar product, and 5 patients switched from the originator product Soliris. The maximum duration of follow-up was 104 weeks, during which the investigational product was administered 52 times at a standard dose. Results. Throughout the study, the levels of LDH, hemoglobin, reticulocytes, and PNH clone remained stable compared to baseline, regardless of the previous therapy (p &gt; 0.05). There were no significant differences in the number of patients with chronic kidney disease at different visits, as well as in the number of patients who received donor red blood cell and platelet transfusions during the study (p &gt; 0.05). There were two cases of adverse reactions reported in two patients (6.6%): elevated aspartate aminotransferase (3.3%) and alopecia (3.3%). Immunogenicity analysis showed no significant differences in the frequency of anti-drug antibody detection compared to baseline (p &gt; 0.05). Conclusion. The study findings confirm the long-term efficacy and safety of biosimilar in patients with PNH.
DOI: 10.15156/bio/2959333
title: UNITE general FASTA release for Fungi 2

description: This release consists of a single FASTA file: the RepS/RefS of all SHs, adopting the dynamically use of clustering thresholds whenever available. Includes global and 97% singletons.
DOI: 10.17864/1947.001333
title: Diagnostics from CMIP6, atmospheric reanalyses, and passive-microwave observations used to examine the impact of ocean heat transport on Arctic and Antarctic sea ice

description: Various geophysical diagnostics calculated from model output obtained from the Coupled Model Intercomparison Project phase 6 (CMIP6), for pre-industrial control, historical, SSP3-7.0, and SSP5-8.5 simulations of 20 climate models. Diagnostics include monthly-mean sea ice area, extent, and sea ice-edge latitude, annual ocean and atmospheric meridional energy transports, and annual polar-cap averages of ocean heat content, near surface air temperature, and atmospheric vertical heat fluxes. Analogous sea ice diagnostics from passive-microwave observations, and surface temperature diagnostics from atmospheric reanalysis products (CFSR, CFSv2, ERA5, JRA-55, and MERRA-2), are also included.
DOI: 10.18444/5.03.01.0005.0014.0001
title: Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten Epi2018_1, verfügbare Diagnosejahre bis 2016 (für die neuen Bundesländer nur bis Diagnosejahr 2015 auf dem Stand von Epi2017_2).
title: Population-based cancer registry dataset from the German Center for Cancer Registry Data.

description: Das Zentrum für Krebsregisterdaten im Robert Koch-Institut erstellt auf Basis der in den Bundes­ländern jährlich erfassten Krebsneuerkrankungen fortlaufend einen aktualisierten Datensatz zu Krebsneuerkrankungen in Deutschland. Seit dem Jahr 2009 werden in ganz Deutschland flächendeckend alle neuauftretenden Krebserkrankungen systematisch auf Basis eigener Ländergesetze erfasst.
description: Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten
description: Register
description: Der Datensatz basiert auf den Daten der epidemiologischen Landeskrebsregister zu jährlich erfassten Krebsneuerkrankungen im jeweiligen Bundesland.
DOI: 10.25345/c5tm7253b
title: MassIVE MSV000090284 - 09082022_Methylorubrum_extorquens_WTvsKO_HLB50,80,100
title: WT and LCC-KO Methylorubrum extorquens supernatant was lyophilized and extracted using HLB with 20 to 50 to 80 to 100 MeOH in water then run using standard LC-MS/MS
DOI: 10.34740/kaggle/dsv/3122958
title: COVID-QU-Ex Dataset
DOI: 10.5281/zenodo.10425430
title: Inferring Surface NO2 over Western Europe: A Machine Learning Approach with Uncertainty Quantification

description: The data that serves to substantiate the analysis presented in the article.
DOI: 10.5281/zenodo.5550935
title: DeepBacs – Escherichia coli bright field segmentation dataset

description: Training and test images of live <em>E. coli</em> cells imaged under bright field for the task of segmentation. Additional information can be found on this github wiki. The example shows a bright field image of live <em>E. coli </em>cells and the manually annotated segmentation mask. <strong>Data type</strong>: Paired bright field and segmented mask images <strong>Microscopy data type</strong>: 2D bright field images recorded at 1 min interval <strong>Microscope</strong>: Nikon Eclipse Ti-E equipped with an Apo TIRF 1.49NA 100x oil immersion objective <strong>Cell type</strong>: <em>E. coli</em> MG1655 wild type strain (CGSC #6300). <strong>File format</strong>: .tif (8-bit) <strong>Image size</strong>: 1024 x 1024 px² (79 nm / pixel), 19/15 individual frames (training/test dataset) 1024 x 1024 px² (79 nm / pixel), 9 regions of interest with 80 frames @ 1 min time interval (live-cell time series) <strong>Image preprocessing</strong>: Raw images were recorded in 16-bit mode (image size 512 x 512 px² @ 158 nm/px). Images were upscaled with a factor of 2 (no interpolation) to enable generation of higher-quality segmentation masks. Two sets of mask images are provided: RoiMaps for instance segmentation using e.g. StarDist or binary images for CARE or U-Net. <br> <strong>Author(s)</strong>: Christoph Spahn<sup>1,2</sup>, Mike Heilemann<sup>1,3</sup> <strong>Contact email</strong>: christoph.spahn@mpi-marburg.mpg.de <strong>Affiliation(s)</strong>: 1) Institute of Physical and Theoretical Chemistry, Max-von-Laue Str. 7, Goethe-University Frankfurt, 60439 Frankfurt, Germany 2) ORCID: 0000-0001-9886-2263 3) ORCID: 0000-0002-9821-3578
DOI: 10.5281/zenodo.8014040
title: PROMISE12: Data from the MICCAI Grand Challenge: Prostate MR Image Segmentation 2012

description: This repository contains all data associated with the 'Prostate MR Image Segmentation'-challenge 2012 on https://promise12.grand-challenge.org/. The goal of this challenge was to compare interactive and (semi)-automatic segmentation algorithms for MRI of the prostate.
DOI: 10.5287/ora-zoddpq9ax
title: Future-Oriented Learning for Inclusive Science Education Teaching and Learning Resources for Secondary Education

description: Teaching and Learning Resources for Secondary Education
DOI: 10.5445/ir/1000150635
title: Cloud observing data of 85 stations in western Central Africa

description: Der Datensatz beinhaltet den Wolkentyp und die Wolkenbedeckung von synoptischen Wetteraufzeichnungen an 85 verschiedenen Stationen im westlichen Zentralafrika. Einerseits beinhaltet der Datensatz die originalen Werte wie auch homogenisierte Werte.
DOI: 10.6084/m9.figshare.27874248
title: Supplementary Material for: Peripapillary and Macular OCTA Predictors of Visual Improvement in Patients Treated with Vitrectomy for Idiopathic Epiretinal Membrane

description: Introduction: We investigated the changes of peripapillary and macular microvasculature in idiopathic macular epiretinal membrane (iERM) eyes before and after pars plana vitrectomy (PPV), aiming to identify potential optical coherence tomography angiography (OCTA) predictors of visual acuity improvement.
Methods: Fifty-seven eyes diagnosed with iERM were enrolled and underwent PPV with ERM and Internal limiting membrane (ILM) peeling. Data were collected before surgery and during the twelve-month postoperative period. OCTA analysis focused on radial peripapillary capillary (RPC) vessel density (VD), superficial and deep capillary plexus (SCP and DCP, respectively). Functional, and OCT structural outcomes, including best-corrected visual acuity (BCVA) and macular thickness, were also recorded.
Results: Multivariate linear regression analysis revealed that higher preoperative RPC VD, lower SCP VD, and lower BCVA were predictors of postoperative BCVA improvement (p&lt;0.001, p=0.047, and p&lt;0.001, respectively). Throughout the follow-up period, there was an observed increase in intradisc RPC VD, whole-disc VD, and parafoveal DCP VD (all p&lt;0.001). BCVA and central macular thickness (CMT) demonstrated significant improvement (p&lt;0.001) within the first month following vitrectomy, which then stabilized from the third month onwards.
Conclusions: Preoperative microvascular measurements in iERM patients can forecast postoperative BCVA. OCTA findings reveal that both increased RPC density and reduced SCP density at baseline could serve as predictors of better visual outcomes after surgery. Enhanced RPC density may reflect a healthier optic nerve with greater potential for visual recovery, while a less dense SCP could indicate less iERM contraction, both contributing to more favorable postoperative visual results.
DOI: 10.6084/m9.figshare.27887076
title: Supplementary Material for: The lung-brain axis: genetic evidence for causal effects of asthma, allergic rhinitis, and chronic rhinosinusitis on brain structure

description: Background: Previous studies have indicated Asthma, allergic rhinitis (AR) and chronic rhinosinusitis (CRS) may influence brain structure. However, it remains unclear whether these three airway conditions cause brain structural changes and which specific brain regions are affected.
Methods: We conducted a Mendelian randomization (MR) to explore the causal effect of AR, CRS, and asthma on brain structure. Reverse MR was conducted to investigate potential impact of changes in brain structure on AR, CRS, and asthma. Additionally, to enhance our understanding of the lung-brain axis, we examined bidirectional relationships between Alzheimer’s disease, Parkinson’s disease, insomnia, major depression, neuroticism, attention deficit hyperactivity disorder and these three respiratory disorders
Findings: The genetically predicted CRS could reduce the surface area in the banks of the superior temporal sulcus, paracentral, and superior frontal. Asthma had an association with a decrease in the surface area of the entorhinal, fusiform, and temporal pole, as well as a reduction in the volume of amygdala. Asthma could also increase the thickness of pericalcarine. Reverse MR showed that changes in the surface area of pars opercularis and thickness of entorhinal cortex had a potential effect on CRS. Besides, bidirectional MR between 3 airway disorders and 6 neuropsychiatric disorders indicated neuroticism could raised risk for asthma, and major depression could increased the risk of CRS and asthma
Conclusion: Our MR analysis revealed a potential causal relationship among CRS, asthma, and atrophy in specific functional areas of the human brain, supporting the existence of a lung-brain axis.
DOI: 10.6084/m9.figshare.27888912
title: Supplementary Material for: Diabetic striatopathy (hyperglycemic hemichorea-hemiballismus syndrome) in a young patient with type 1 diabetes mellitus in Dar es Salaam, Tanzania: a case report

description: Introduction:
Diabetic striatopathy, or nonketotic hyperglycemic hemichorea-hemiballismus syndrome, is a rare movement disorder linked to poorly controlled diabetes mellitus. It predominantly affects older women with type 2 diabetes mellitus and presents with characteristic basal ganglia abnormalities on CT and MRI. Even rarer is the presentation in a young patient, which may pose diagnostic and management challenges.

Case Presentation:
We report a 17-year-old male with poorly controlled type 1 diabetes mellitus presenting with left-sided hemichorea-hemiballismus of acute onset associated with hyperglycemia without ketoacidosis. Brain imaging revealed increased attenuation in the right caudate and putamen on CT and hyperintensity on T1-weighted MRI, consistent with diabetic striatopathy. The abnormal movements abated after one month through dietary counseling, increased insulin dosage, and anti-chorea therapy.

Conclusion:
Diabetic striatopathy may occur in young patients with type 1 diabetes mellitus. In resource-limited settings, its management can be challenging. There is a need for increased awareness among physicians of this potentially reversible condition, especially when seeing atypical patient populations. Strict glycemic control is an essential part of treatment.
DOI: 10.6084/m9.figshare.27894219
title: Supplementary Material for: Views of aging and subjective cognition in middle-aged and older adults: A systematic review

description: Introduction: Views of aging have been linked with many important outcomes in older adults. Subjective cognition, or one’s perception of their cognitive functioning, may be a valuable indicator of cognitive changes as individuals age, but is known to be impacted by a variety of factors. The aim of this systematic review was to synthesize the evidence on relationships between views of aging and subjective cognition, including whether and how these relationships may differ based on age.
Methods: Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria, we conducted a comprehensive literature search in four databases: PubMed, CINAHL, PsycINFO, and ProQuest Dissertations and Theses. Critical appraisal utilized the Critical Appraisal Skills Programme (CASP) checklists. Twenty sources (including 21 studies) met inclusion and exclusion criteria, from which data were systematically extracted and results narratively synthesized. 
Results: Seventeen out of the 21 identified studies (81%) found a relationship between more positive views of aging and better subjective cognition; however, some studies reported mixed results based on the domain of aging views. Domains that were consistently associated with subjective cognition were subjective age, attitudes toward one’s own aging, aging well, and essentialist beliefs about aging. Only three studies reported age group differences or changes in associations over time, precluding conclusions about differences across middle- and older ages. 
Conclusion: Most studies supported associations between views of aging and subjective cognition. More longitudinal as well as qualitative research is needed to advance understanding of factors that influence these relationships.
DOI: 10.6084/m9.figshare.27900333
title: Supplementary Material for: Using smartphone data to frequently measure atopic dermatitis severity and understand triggers: A decentralized 12-week observational study

description: Abstract
Introduction
Atopic dermatitis (AD) severity is traditionally evaluated during in-office consultations; however, this does not provide continuous monitoring and any intermittent flare/remission cycles are usually not recorded. 
The aim was to apply smartphone technology to evaluate AD severity; to explore if severity based on highly frequent sampling of photographs are associated with patient reported outcomes, and to investigate disease fluctuations and trigger associations based on passively collected environmental data.
Methods 
In this 12-week decentralized observational study adult patients with AD were recruited online and used a tailored remote clinical trial platform app to perform all study tasks including capturing photographs and completing the patient-oriented eczema measure (POEM) weekly. AD severity was assessed based on photographs using the Eczema Area and Severity Index (EASI) and SCORing Atopic Dermatitis (SCORAD). Geographical location collected in the app was used to retrieve data on ambient temperature and carbon monoxide (CO), a common air pollutant.
Results 
A total of 42 patients (35 women) were recruited online. A total of 712 photographs were taken, with an average of 17 photographs per participant. Photographic SCORAD (r=0.450) and EASI (r=0.206) were significantly associated with subjective severity POEM. Patients experiencing AD fluctuation (n=10) based on SCORAD had significantly higher risk of also having a psychiatric disorder (60 vs. 17%, p=0.008). Anxiety was significantly associated with disease fluctuation based on EASI (40 vs. 7%, p=0.01) and a tendency was observed for depression (40 vs. 13%, p=0.06). Decreasing temperature was significantly associated with higher POEM (estimate -0.18, p=0.012) and EASI score (estimate -0.14, p=0.007), but not with SCORAD. High levels of CO were significantly associated with higher SCORAD (estimate 15.9, p&lt;0.001). 
Conclusion 
In this small study with predominance of young adults, primarily women, we were able to recruit patients and monitor AD entirely remotely via smartphone-enabled photographic assessments, patient reported outcomes and passively collected environmental data without physical contact between patient and investigator.
DOI: 10.6084/m9.figshare.27900597
title: Supplementary Material for: Human blood NC/CL cells are heterogeneously presented in severe COVID-19 and correlate with disease activity

description: The COVID-19 is highly heterogeneous, ranging from cases with mild disease with an almost asymptomatic carrier to severe cases in which the disease evolves rapidly. A better understanding of monocyte response during SARS-Cov-2 infection would highlight potential biomarkers and establish other possible approaches for severe cases. Here, the promising finding was that blood NC/CL subset was skewed toward NChighCLlow and NClowCLhigh clusters among the severe COVID-19 patients. The NChighCLlow cluster in severe COVID-19 displayed a distinct clinic phenotype, implying a higher 7-day disease progression rate (P=0.019) and a worse 28-day survival (P=0.026). As supported, regarding cytokine profile in context of SARS-Cov-2 infection, it was identified that circulating NC cells are proinflammatory cells most related to regulatory cells, while CL subset displayed an effective capacity to virus. These findings have implications towards optimizing evaluation in severe COVID-19, and developing strategies that target altered balance of NC/CL cell subsets.
DOI: 10.15129/5825535a-ab05-4678-8102-fe957bdf7943
title: Data for "Recycling self-assembled colloidal quantum dot supraparticle lasers"

description: Dataset including raw Photoluminescence (PL) spectral data, UV-vis Absorbance (ABS) spectral data, Photoluminescence quantum yield (PLQY) data and calculations, and the average Suprapartice (SP) size data.
DOI: 10.15139/s3/h0ypjd
title: Study Participant Data

description: Metadata for clinical samples used to generate Plasmodium vivax sequences.
DOI: 10.15468/dl.7a3esq
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((117.25038 -6.49525,124.68631 -6.13689,125.627 2.10536,119.53491 2.10536,117.25038 -6.49525))",
 "TaxonKey is Strobilanthes Blume"
 ]
}

 The dataset includes 48 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001725-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/2277068
title: Intraretinal Cystoid Fluid
DOI: 10.5066/p928y2gf
title: Ecological resilience and resistance across the sagebrush biome under ambient and projected climate conditions

description: These data were compiled to provide a quantitative, spatially explicit estimate of ecological resilience and resistance (R&R) under ambient and projected future climate conditions. Objective of our study was to understand where and why climate change will alter the distribution of ecological resilience and resistance in the sagebrush biome throughout the 21st century. To accomplish this, we pursued four specific objectives: we estimated the new R&R indicators under future climate conditions and quantified changes from historical conditions; we developed a continuous R&R index that integrates probability information from the underlying predictive R&R models; we assessed the robustness of projected changes in R&R to uncertainty in future climate conditions. These data represent spatially-explicit estimates of ecological resilience and resistance (R&R; categorical indicators, probabilities, continuous indices) under ambient and downscaled projected historical and future climate conditions (historical, RCP 4.5, and RCP 8.5 CMIP5 scenarios). These data were created in rangelands and open woodlands across the sagebrush biome in 2023. These data were created by a collaboration between Northern Arizona University and the U.S. Geological Survey, Southwest Biological Science Center based on modeling which utilized predictive R&R models utilizing ecological and climate metrics which were based on soil properties (NRCS), ambient climate data (gridMET), and downscaled climate projections (MACAv2-METDATA). These data can be used to assess geographic patterns in resilience and resistance under ambient and projected future climate conditions.