cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19285385.v1
title: Juno Multi-Spacecraft ICME Database

description: Each event is identified by an ID number (ID\#). The spacecraft that observed the event in conjunction with Juno is listed (SC1) and the ICME and ME boundary times in ISO standard. The spacecraft heliocentric distance (r), latitude, and longitude at which SC1 was located are listed in Heliocentric Aries Ecliptic (HAE) coordinates, and the mean ME magnetic field strength. The boundary times, spacecraft position and mean ME magnetic field strength columns are repeated for Juno (SC2). Finally, the average velocities calculated at the leading edge (LE), trailing edge (TE), and the cruise velocity of the ICME are listed.
DOI: 10.6084/m9.figshare.23143622.v1
title: Supplementary Material for: Development and validation of a prediction model for 30-day mortality and functional outcome in patients with primary brainstem hemorrhage.

description: Introduction: Primary brainstem hemorrhage (PBSH) is the most fatal subtype of intracerebral hemorrhage and associated with poor prognosis. We aimed to develop a prediction model for predicting 30-day mortality and functional outcome in patients with PBSH. Methods: We reviewed records of 642 consecutive patients with first-time PBSH from three hospitals between 2016 and 2021. Multivariate logistic regression was used to establish a nomogram in a training cohort. Cutoff points of the variables were determined by receiver operating characteristic curve analysis, and certain points were assigned to these predictors to produce the PBSH score. The nomogram and PBSH score were compared with other scoring systems of PBSH. Results: Five independent predictors, comprised of temperature, pupillary light reflex, platelet-to-lymphocyte ratio (PLR), Glasgow Coma Scale (GCS) score on admission, and hematoma volume, were incorporated to construct the nomogram. The PBSH score consisted of 4 independent factors with individual points assigned as follows: temperature, ≥38℃(=1 point), &lt;38℃(=0 points); pupillary light reflex, absence (=1 point), presence (=0 points); GCS score 3 to 4 (=2 points), 5 to 11 (=1 point), and 12 to 15 (=0 points); PBSH volume &gt;10 mL (=2 points), 5 to 10 mL (=1 point), and &lt;5 mL (=0 points). Results showed that the nomogram was discriminative in predicting both 30-day mortality [AUC of 0.924 in the training cohort, and 0.931 in the validation cohort] and 30-day functional outcome [AUC of 0.887]. The PBSH score was discriminative in predicting both 30-day mortality [AUC of 0.923 in the training cohort, and 0.923 in the validation cohort] and 30-day functional outcome [AUC of 0.887]. The prediction performances of the nomogram and the PBSH score were superior to the intracranial hemorrhage (ICH) score, primary pontine hemorrhage (PPH) score, and new PPH score. Conclusions: We developed and validated two prediction models for 30-day mortality and functional outcome in patients with PBSH. The nomogram and PBSH score could predict 30-day mortality and functional outcome in PBSH patients.
DOI: 10.6084/m9.figshare.27215202.v1
title: Supplementary Material for: Associations of co-exposure to polycyclic aromatic hydrocarbons and heavy metals with sex steroid hormones among children aged 6-19 years

description: Introduction
Polycyclic aromatic hydrocarbons (PAHs) and heavy metals (HMs) are endocrine-disrupting chemicals (EDCs) that may have a combined effect on sex hormone levels in children. This study investigated the correlations between co-exposure to PAHs and HMs and levels of sex steroid hormones in children.

Methods
We employed the data from the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2016, including 1,167 participants aged 6-19 years. Sex hormone indicators include testosterone (TT), estradiol (E2), sex hormone-binding globulin (SHBG), free androgen index (FAI), and the TT/E2 ratio. Weighted multivariate linear regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) were used to analyze the associations between co-exposure to PAHs and HMs and sex steroid hormone levels.

Results
Co-exposure to PAHs and HMs was associated with a 16.2% reduction [95%CI (-0.321, -0.004)] in SHBG level among prepubertal males and a 16% reduction [95%CI (-0.30, -0.03)] in E2 level among pubertal males by the weighted quantile sum (WQS) regression, and cadmium (Cd) and mercury (Hg) contributed the highest weight respectively. In the Bayesian kernel machine regression (BKMR) model, co-exposure to PAHs and HMs was positively associated with TT/ E2 in pubertal males and negatively correlated with FAI in pubertal females, and 1-hydroxypyrene (1-PYR) and Cd were the most important components respectively.

Conclusions
Co-exposure to PAHs and HMs was associated with sex hormone levels in children. These findings highlight the necessity for preventing the effects of these chemicals on sex hormones.
DOI: 10.6084/m9.figshare.26935465.v2
title: ARNT Steered Molecular Dynamics Dataset

description: This dataset comprises pre-computed steered molecular dynamics simulation to observe the unfolding of the ARNT PAS-B domain, intended for use with the SOMMD (Self-Organizing Maps for Molecular Dynamics) R package. The files, including .xtc and .pdb formats, serve as input data for analysis within a notebook designed to demonstrate the capabilities of the SOMMD R package.
DOI: 10.6084/m9.figshare.25383697.v12
title: Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection

description: This research attempts to provide first its type public dataset for silicosis detection. The dataset contains frontal chest X-rays collected over three years. The data has been collected from the stone workers in the primary health centres of Rajasthan, India. The dataset contains samples of silicosis, STB, TB, and normal. The average size of each sample is around 3567 x 2898. The samples in the dataset are made available as three-channel JPG images. The dataset is divided into two sets:Set A: It contains images with only disease labels.Set B: It contains images with lung segmentation maps, annotations and disease labelsTo obtain access to the dataset, please email the duly filled-out license agreement to databases@iab-rubric.org with the subject line "Licence agreement for the Silicodata dataset.".NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.This database is available only for research and educational purposes and not for any commercial use<br>
DOI: 10.6084/m9.figshare.28159415.v1
title: Supplementary Material for: Associations of Causes of Chronic Kidney Disease with Disease Progression and Mortality: Insights from the Fukuoka Kidney disease Registry (FKR) Study

description: Introduction: The Kidney Disease: Improving Global Outcomes guidelines recognize the importance of causes of chronic kidney disease (CKD), glomerular filtration rate, and albuminuria as predictors of kidney outcome and prognosis. However, compared with biopsy-proven causes, there has been limited research regarding the relationship between clinically diagnosed causes of CKD and patient prognosis.
Methods: We examined 3,119 patients with non-dialysis-dependent CKD who participated in the Fukuoka Kidney disease Registry Study, a multicenter prospective cohort study. Patients were divided into six groups: IgA nephropathy, chronic glomerulonephritis (non-biopsy-proven), diabetic nephropathy, hypertensive nephrosclerosis, chronic interstitial nephritis, and polycystic kidney disease. The primary outcomes included a composite kidney outcome, defined as a 1.5-fold increase in serum creatinine and/or the development of end-stage kidney disease, and all-cause mortality. The risks of these outcomes were estimated using a Fine–Gray proportional subdistribution hazards model. Patients with IgA nephropathy, the most prevalent primary glomerulonephritis, served as the reference group.
Results: During the median follow-up period of 5 years, 1,221 patients developed the composite kidney outcome, and 346 patients died. Compared with IgA nephropathy, the multivariable-adjusted subdistribution hazard ratios (sHRs) for the composite kidney outcome were significantly higher in diabetic nephropathy (sHR 1.45) and polycystic kidney disease (sHR 2.07) groups, whereas the chronic interstitial nephritis group had a significantly lower risk (sHR 0.71). The risk of all-cause mortality was significantly higher in the hypertensive nephrosclerosis group (sHR 1.90).
Conclusion: The causes of CKD were associated with risks of the composite kidney outcome and all-cause mortality, highlighting their clinical relevance in predicting prognosis. These findings suggest that different causes of CKD have distinct impacts on patient outcomes, emphasizing the importance of tailoring management strategies according to the underlying causes.
DOI: 10.6084/m9.figshare.9031643.v1
title: Transcript and protein sequences for the prairie rattlesnake

description: Transcript and protein sequence fasta files for the prairie rattlesnake genome
DOI: 10.17632/j48k23w53d
title: Data 2

description: Use in a study on NPLs
DOI: 10.17632/zw3mbcp4r2
title: Raw HS-SPME-GC-MS and 1H-NMR data of Asparagopsis armata and A. taxiformis extracts in a context of a metabolomics study on the variation of metabolites of the two algae in relation to interspecies and temporal factors

description: Folders contain raw data of the NMR and HS-SPME-GC-MS analyses of Asparagopsis armata and A. taxiformis samples, pertaining to the publication entitled: 

Development of a Multiblock Metabolomics Approach to Explore Metabolite Variations of two Algae of the Genus Asparagopsis Linked to Interspecies and Temporal Factors (https://doi.org/10.1016/j.algal.2023.103138)

The 1H-NMR spectra were obtained on a 500 MHz ECZR JEOL spectrometer (Tokyo, Japan)
Volatile compound analyses were performed using a FOCUS GC gas chromatography system coupled to a DSQ II Electron Impact-Single Quadrupole (EI-Q) mass spectrometer (Thermo Scientific, MA, USA).
DOI: 10.6084/m9.figshare.24495265.v1
title: <b>Culturable Mycobiota from </b><b>Guizhou </b><b>Wildlife Park</b><b> in China</b>

description: This is a dataset of an article that includes multiple concatenated sequences.
DOI: 10.6084/m9.figshare.24547405.v2
title: Chinese asset managers’ sectoral financed emissions inventories, 2010-2020.xlsx

description: 105 are for asset managers’ sectoral decomposition for financed emissions inventory (28 sectors), 2010-2020
DOI: 10.6084/m9.figshare.25348432.v1
title: Supplementary Material for: The Impact of Caustic Ingestion on Nutritional Status: case report

description: Introduction: Caustic injuries remain a major public health concern. Nutritional status plays a pivotal role in determining the outcome. Unfortunately, nutritional care guidelines are not widely implemented in clinical practice, and decisions are often based on prior experience and local policies.

Case presentation: We present the case of an 83-year-old man who accidentally ingested alkali, resulting in severe caustic injury and subsequent complications that further deteriorated his nutritional status. The management of esophageal strictures necessitated constant adjustments to the nutritional strategies employed. The clinical evaluation revealed protein and energy malnutrition, accompanied by type 2 intestinal failure. However, with individually tailored parenteral nutritional therapy, a significant improvement in the patient's nutritional status was observed.

Conclusion: Recognizing that caustic injuries increase metabolic demands, a comprehensive and active nutritional assessment is crucial, focusing on the need for adequate energy, high protein intake, and an appropriate feeding route. In cases of acute or prolonged type 2 intestinal failure with insufficient oral or enteral nutrition, parenteral feeding should be the primary therapy. Effective management of caustic injuries requires a multidisciplinary and multicenter approach, integrating nutritional evaluation, including body composition measurements, into the clinical algorithm. Early initiation of nutritional therapy is vital to prevent chronic intestinal failure.
DOI: 10.6084/m9.figshare.27858219.v1
title: Morphological data (<i>Desmodus rotundus</i>).csv

description: Morphometric traits of a host have been used recently in disease ecology for a deeper understanding of the connection between phenotype and transmission rates. The common vampire bat, <i>Desmodus rotundus, </i>is the main reservoir of rabies in Latin America, one of the most lethal zoonotic diseases in the world. Comprehension of morphological variation in <i>D. rotundus</i> is insufficient, contradictory, and inconclusive. Due to this inconsistency, we explored sexual dimorphism in <i>D. rotundus</i> <i>by combining different measures</i><i> </i>to provide new knowledge that can contribute to the control of rabies<i>. </i><i>As a result, our study provides evidence of sexual dimorphism in </i><i>D. rotundus</i><i> with females generally larger than males in body and wing measurements. </i>The statistical, as well as the principal components, and clusters analysis, confirm morphological differences between females and males, without observing a complete separation between the sexes, possibly due to environmental factors that change the specimens' conditions or limitations with access to measures. Understanding the sexual dimorphism of the main transmitter of wild rabies in South America is essential since morphological variations between sexes could influence both the use of the habitat and the dispersion capacity of the bats, which are relevant to the epidemiology of rabies. Because our data originated primarily from lowland areas, we are unable to rule out the effects of elevation on sex dimorphism. Given the importance of rabies for global public health, investigating the morphological and behavioral aspects of rabies reservoirs could help us better understand how ecological aspects influence disease spread.
DOI: 10.6084/m9.figshare.5982181.v1
title: Supplementary Material for: Improved Production of Highly Active and Pure Human Creatine Kinase MB

description: Human creatine kinase MB (hCKMB) is one of the most preferred biomarkers used for the diagnosis of acute coronary syndrome due to its high sensitivity and specificity. The increasing need for highly purified and biologically active hCKMB in the field of diagnostics makes its production valuable. Currently, the production of hCKMB is mainly achieved in methylotrophic yeast, <i>Pichia pastoris</i>, because the production in <i>Escherichia coli</i> is challenging and generally yields an inactive enzyme with a low quantity. With the aim of finding the best way for the high-yield production of active hCKMB in <i>E. coli</i>, an efficient strategy was developed using a construct allowing tandem expression of each subunit with 2 different tags. The strategy allowed the efficient expression and separate characterization of each subunit and 1-step purification of the heterodimeric protein into homogeneity. The heterodimeric protein displayed more than 11-fold greater specific activity than the commercially available one. The production strategy described in this study shows a clear advantage over the currently used ones and can be made available not only for laboratory scale production but also for commercial production. Our study is also a well-suited example for the studies in which novel protein expression strategies are needed to achieve greater yields with higher purities.
DOI: 10.17608/k6.auckland.14614599
title: Magnetic properties of hydrothermally altered rocks from Whakaari (White Island) volcano, New Zealand

description: <i>Magnetic_Susceptibility_Magnetization.txt</i> contains measurements of magnetic susceptibility and magnetization of samples used in this study.<br><i>Magnetic_Susceptibility_Temperature.txt</i> contains measurements of magnetic susceptibility with temperature of lavas used in this study.<br><br><i>Alternating_Field_Demagnetization.txt</i> contains measurements from alternating field demagnetization experiments performed on lavas used in this study. <br><br><i>Xray_Maps.pdf</i> contains compositional X-ray maps of samples used in this study.
DOI: 10.6084/m9.figshare.17157842.v1
title: MASTER AGGREGATED.nvpx

description: This dataset is a Nvivo Project that served as the basis for a Qualitative Content Analysis of populist manifestos. It includes the 2017 National Rally manifesto, 2017 AfD manifesto, 2020 Sinn Fein manifesto, and 2016 Podemos manifesto. It focuses on the securitization of identities and securitizing strategies in populist manifestos.<br>
DOI: 10.17632/rpp2bz5hb4
title: Temporal variation of vertical turbulent fluxes of energy, water and carbon dioxide in the urban area of Ciudad Obregón, Sonora, México

description: This dataset contains vertical fluxes of carbon dioxide, latent heat, sensible heat and water fluxes between an urban environment and the atmosphere. Energy, water and carbon fluxes, anemometrical and footprint data were measured using the Eddy-covariance Technique (EC). The monitoring site was deployed at the roof of a 6-story 22-meters height building located in the central campus of the Sonora Institute of Technology, the highest university building located in Ciudad Obregon, Sonora, México. The study period encompasses most of the monsoon season of the year 2016 (from March to August). The goal of this dataset is to provide information about turbulent and energy fluxes in urban environments under arid-semiarid climate with monsoonal regime.
DOI: 10.6084/m9.figshare.6131024.v1
title: Unweighted UniFrac distances

description: The unweighted UniFrac distance (Lozupone and Knight AEM 2005) matrix of the 9511 fecal samples used in the American Gut paper. UniFrac was computed using Striped UniFrac (https://github.com/biocore/unifrac). Prior to execution of UniFrac, Deblur (Amir et al mSystems 2017) was run on the samples, all bloom sOTUs were removed (Amir et al mSystems 2017), and samples were rarefied to a depth of 1250 reads (Weiss et al Microbiome 2017). For the phylogeny, fragments were inserted using SEPP (Mirarab et al Pac Symp Biocomput 2012) into the Greengenes 13_5 99% OTU tree (McDonald et al ISME 2012).
DOI: 10.6084/m9.figshare.23605758.v1
title: The data of triple oxygen isotope composition of combustion sulfate

description: Triple oxygen isotope composition of combustion sulfate has an average value of –0.27 ± 0.06‰ for the Δ′17O and 12.8 ± 3.6‰ for the δ18O.
DOI: 10.11583/dtu.19689019.v1
title: Onshore wind generation time series for technology SP335 HH100 at resource grade A (PECD 2021 update)

description: This data (csv file) provides simulated hourly time series of onshore wind generation with specific power (SP) 335 W/m2 turbines at hub height (HH) of 100 m for the regions shown in the attached map. The analysed wind power plants are sited at the best 10 % of locations in each region, i.e., in resource grade (RG) A. The map shows the resulting capacity factors (annual mean). The Excel file gives a rough indication if this wind technology is suitable for the different regions for this RG or not. The available land considers all onshore land area of a region, except lakes, cities, and very high elevation locations. The possible impact of any existing onshore wind installations in the region is not considered. Wake losses are modeled, with additional 5 % of other losses and unavailability considered. The time stamps are in GMT; the variable (column) names relate to the region names shown in the maps. The data include also country-level aggregations, e.g., UK00 is the aggregated onshore wind generation of all the UK regions (weighted by regional installed capacities). The data are part of the variable renewable energy generation time series created for ENTSO-E in the 2021 update of the Pan-European Climate Database (PECD) dataset. ENTSO-E has used the data in ERAA 2021 and Winter Outlook 2021-2022 assessments, and they are used in TYNDP 2022. The simulations are carried out by DTU Wind Energy, with the future technology selection and data validation discussed and agreed with ENTSO-E and its members. The linked journal paper (1st link) describes the simulation methodology (combination of ERA5 and GWA data is used). It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the concept of resource grades and how they can be applied in energy system analyses. This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.5939581
DOI: 10.6084/m9.figshare.21780680.v3
title: Traditional Indian Medicine improves clinical outcome in non-alcoholic fatty liver diseases- a systematic review and meta-analysis

description: This is the dataset forming the basis of publication submission entitled Traditional Indian Medicine improves clinical outcome in non-alcoholic fatty liver diseases- a systematic review and meta-analysis.
DOI: 10.6084/m9.figshare.799714.v1
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.26048689.v1
title: Test_data_VPP_ramping_capability

description: Test data used in research paper "Integrating Ramping Capability into Virtual Power Plants Operation: A Systematic Approach".
DOI: 10.17632/wfvk5k34rs
title: Meteorological variables 2018 at 80m AGL

description: The measured variables at heights of 10, 20, and 30 m AGL in Xls format are stored here. These measured variables during 2018 every ten minutes include wind speed, wind direction: maximum, minimum average, standard deviation. Air temperature measured at a height of 3m AGL includes maximum, minimum average, standard deviation.
Global solar radiation measured at a height of 3m AGL  includes maximum, minimum average, standard deviation.
The barometric pressure measured at a height of 3m AGL  includes maximum, minimum average, standard deviation.
The measured variables at heights of 40, 60, and 80 m AGL in Xls format are stored here. These measured variables during 2018 every ten minutes include wind speed, wind direction: maximum, minimum average, standard deviation.
Air temperature measured at a height of 3m AGL includes maximum, minimum average, standard deviation.
Global solar radiation measured at a height of 3m AGL  includes maximum, minimum average, standard deviation.
The barometric pressure measured at a height of 3m AGL  includes maximum, minimum average, standard deviation.
DOI: 10.6084/m9.figshare.5589949.v2
title: Reservoir-Condition Pore-Scale Imaging of Dolomite Reaction with Supercritical CO2 Acidified Brine: Effect of Pore-Structure on Reaction Rate using Velocity Distribution Analysis

description: For further information please contact corresponding author: q.lin11@imperial.ac.uk
DOI: 10.17632/d676b8t6b2
title: Asian endemicity and the 2013 Beach Soccer World Cup: two concealed faces of recent Zika virus expansion

description: In this deposit, the dataset used for our analysis and the sequences alignment are available. We also added the xml file which can be used to re-run the phylogenetic analyses or to extract the exact conditions of our analyses.
DOI: 10.17632/mmt9j3bvn7
title: Data for: Experimental Evaluation of Vacuum Drying for Removal of Residual Water from Spent Nuclear Fuel Dry Storage System Canister

description: Vacuum drying is a practical technology that has been successfully used for many years in various industries. The aim of the present study was to evaluate whether the drying of residual water inside the canister was adequate, as well as whether ice formed inside the canister during vacuum drying. To do so, a vacuum drying system and a small canister were designed, fabricated, and used to conduct vacuum drying tests.