cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ksf6njpynh
title: DataAndCode_CornerBeadGeometryPrediction

description: This folder contains the supplementary material for the paper "Bead geometry prediction and optimization for corner structures in WAAM using Machine Learning"
Marwin Gihr*, Asif Rashid, Shreyes N. Melkote
Contact: *Tel.: +49 15737922958; E-mail address: mgihr@gmx.de

For the study three sets of experiments werde conducted. Within one experiment the travel speed and the corner angle of the beads is varied. The three experiments differ in the selected WFS. The folder Data contains the preprocessed data from the conducted experiments. 
For experiment 1 a WFS of 3.6 m/sec was chosen, experiment 2 was conducted with a WFS of 4.2 m/sec and experiment 3 with 5 m/sec.
In the following the dataset is explained.
- Each row contains the geometrical information of one bead layer cross-section and the process parameters that were used for its manufacturing
- Layer contains the layer number of the particular cross-section
- Group is fully correlated with the utilized TS and is used for indexing
- BeadArm contains the information on which side of the corner tip the cross-section is located and is also used for indexing
- Cross-section is also used for indexing. The combination of Layer, Group, BeadArm, Cross-section and experiment number creates a unique Identifier for all cross-sections
- BW containts the information on the measured BW of the cross-section
- OverlapRegion, CalculatedVolume, InitialTemperature, VolMeanLayerBelow, BHmax and Volume are obsolete for this study
- DistanceToCorner contains the euclidean distance of the cross-section to the tip of the corner
- Angle describes the corner of the bead on which the cross-section is located
- WFS contains the information on the utilized WFS in manufacturing the bead on which the cross-section is located
- TS contains the information on the utilized TS in manufacturing the bead on which the cross-section is located
- BH0-4 contain the BH descriptors that describe the geometry of the Bead in combination with the BW


1_ExtendedBeadGeometryStudy_ModelTraining contains the code to train the Multilayer Perceptron on the collected data.
2_ExtendedBeadGeometryStudy_FeatureStudy contains the code to analyze the model through a feature study.
3_ExtendedBeadGeometryStudy_InverseModel contains the code to use the model inversively to retrieve suggestions for optimized PM and TS combinations

beadwiseStudy_5points_tol20 contains the hystory of the hyperparameter optimization study conducted with the help of the Optuna library

model_5Points_tol20_noOR-R2-0.71 and scaler_5Points_tol20-R2-0.71 contain the trained MLP and the scaler used to preprocess the training and testing data.


The unprocessed, raw data of the study can be provided upon request.
DOI: 10.6084/m9.figshare.13670689.v1
title: Microbiome ASV tables, metadata, and fastq files

description: Sequence files as .fastq, ASV tables and associated metadata used in the manuscript entitled "Fecal sample collection methods and time of day impact microbiome composition and short chain fatty acid concentrations"
DOI: 10.6084/m9.figshare.14024738.v1
title: Libros de resúmenes de los congresos científicos nacionales de estudiantes de medicina de Perú, 2010-2013

description: Cada año se realiza el Congreso Científico Nacional (CCN), evento que recibe trabajos de investigación de los estudiantes de medicina del Perú. El objetivo del estudio fue determinar la tasa de publicación de estos artículos y sus factores asociados. Se realizó un estudio de cohorte retrospectivo para el cual se revisaron los libros de resúmenes de los CCN del 2010 al 2014. Determinamos la tasa de publicación y el tiempo en meses hasta la publicación del trabajo. Se incluyeron 407 resúmenes, de los cuales se publicaron 97 (23,8%). La mediana del tiempo hasta la publicación fue de 14 meses (RIC: 5-23). La cuarta parte de los artículos presentados a los CCN entre 2010 y 2014 se publicaron en una revista científica.
DOI: 10.6084/m9.figshare.21506478.v1
title: ODP 910A biomarker data

description: Concentrations of source-specific lipid biomarkers including certain highly branched isoprenoids (HBIs; e.g. IP25, HBI III, HBI IV) and sterols (dinosterols, brassicasterol). By combining IP25 concentrations with those of the pelagic biomarker HBI III, we provide semi-quantitative spring sea-ice reconstruction (SpSIC (%)). Further, the HBI T25 index, derived from the ratio between HBIs III and IV.
DOI: 10.6084/m9.figshare.28790543.v1
title: Pollution and childhood pneumonia in Lima - Supplementary material - Code

description: The supplementary material for this study includes the R script utilized for data analysis, detailing the methodology for data preprocessing, statistical modeling, and visualization of results. This script facilitates reproducibility and transparency of the analytical process, allowing researchers to replicate or extend the analyses performed in the study.
DOI: 10.17632/vsrhnnm9ct
title: Dataset to identify lung disorders among COVID-19 patients using machine learning models

description: This data article explicit the breathing patterns of COVID-19 infected people and normal people with the openly available ultrasound videos by applying Non-Rigid Bodies (NRB) algorithm along with six different supervised machine learning classification models such as Decision Tree (DT), Logistic Regression (LR), Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), k-Nearest Neighbour (kNN) and Random Forest (RF). The performance of each classification model has been measured depending on the correct and incorrect classified instances. The data in this article reveals that the SVM, kNN and RF classification models could classify COVID-19 infected people and normal people from ultrasound videos with high correction accuracy. Comparing to SVM, kNN and RF; the DT, LR and LDA models have only fewer correction accuracies. The data provided in this article indicate that this proposed method may be useful for the medical workers to differentiate the COVID-19 infected lungs for further diagnosis and also it can provide early warnings of COVID-19 infections among the people who have mild conditions. Moreover, this method can be suggested for controlling the widespread of the Coronavirus. Keywords: COVID-19; Lung; Non-Rigid Bodies algorithm; Ultrasound videos; Decision Tree; Logistic Regression; Linear Discriminant Analysis; Support Vector Machine; k-Nearest Neighbour; Random Forest. *Ethics approval and consent for publication Approval to conduct this research was obtained from the ‘Research Innovation Consultancy and Extensions (RICE)’ board of the author’s University system. Informed consent was obtained from all the patients for using their images/videos or other clinical information relating to this research. The consent for publication was obtained from the author’s University system. Enclosure: 1) Supplementary file with data and charts. 2) Ultrasound video set of COVID-19 and Normal Patients.
DOI: 10.6084/m9.figshare.19136168.v2
title: Organic vegetable production adoption data.csv

description: The data set for this study include two outcome variables (organic vegetable production (OVP) adoption and organic share of the total cropland (extent of OVP adoption) and independent variables used to explain the likelihood and extent of OVP adoption. The independent variables comprise farmer characteristics (e.g., sex, age, educ, economic status off-farm work, household size, and location), farm-specific factors (e.g., land ownership, land size, time of cultivation), and institutional factors (e.g., cooperative membership and extension).<br>
DOI: 10.6084/m9.figshare.24440941.v1
title: Supplementary Material for: Enhanced category-based risk assessment for neonatal early-onset sepsis: a prospective observational study

description: Introduction Compared with multivariate risk assessment, traditional category-based risk assessment (CRA) approaches for neonatal early-onset sepsis (EOS) screening are straightforward to use and do not require electronic devices. However, they are associated with higher rates of antibiotics use. This study aims to evaluate the performance of a novel enhanced CRA (eCRA) framework on EOS admissions and antibiotics use and to investigate whether a modified version with adjustments in risk factors weighting can allow its performance to match the EOS calculator, while remaining easy to implement. Method This is a prospective, single-center, two-phase observational study. Infants of all gestations delivered in a tertiary hospital in Hong Kong, with risk factors or clinical features of EOS were recruited. Phase I: A novel eCRA framework (period 2) was compared with the CDC 2010-based protocol (period 1). Phase II: A modified eCRA framework was compared theoretically with the EOS calculator. EOS-specific admissions and antibiotics use were measured. Results Phase I: 1,025 at-risk infants were recruited during period 2 and compared with 757 infants of period 1. Admissions and antibiotics use decreased from 45.8% to 29.4% and 41.1% to 28.2% respectively. Antibiotics among those at-risk but well-appearing infants decreased from 25.3% to 16.3% (p&lt;0.001 for all). Phase II: antibiotics use was similar (7.3% vs 6.4%, p=0.42) between the modified eCRA framework and the EOS calculator. Conclusions An eCRA framework can effectively and safely provide individualized guidance for EOS screening without need for tools such as the EOS calculator.
DOI: 10.6084/m9.figshare.25100474.v2
title: Chromosome-level genome assembly and annotation of the sea toad Chaunax sp.

description: Chaunax sp. genome related annotation files
DOI: 10.6084/m9.figshare.7411907.v2
title: 3D Point Cloud - Cachoeira Xada, Xingu River, Brazil

description: Dense 3D point cloud stored in .las format of the Cachoeira Xada from the Xingu river in Brazil. The point cloud is generated at a ground sampling distance of 2.38 cm. A DJI Inspire 1 with an X3 camera were used to collect the photographs on August 11, 2016. The photographs were processed with Pix4D Mapper Pro through a Structure from Motion Multiview Stereo workflow as described in:<br>Kalacska, M.; Lucanus, O.; Sousa, L.; Vieira, T.; Arroyo-Mora, J.P. Freshwater Fish Habitat Complexity Mapping Using Above and Underwater Structure-From-Motion Photogrammetry. <em>Remote Sens.</em> 2018, <em>10</em>, 1912.https://www.mdpi.com/2072-4292/10/12/1912/htm<br><br>Interactive version of the point cloud can viewed online at:http://bit.ly/xadarapids
DOI: 10.6084/m9.figshare.8075396.v1
title: Sentinel 2 manually extracted deep water spectra with high noise levels and sunglint

description: This dataset includes 2.133.324 reflectance water spectra which were manually extracted by visual observation from 30 Sentinel 2 level 1C satellite images. The spectra were extracted from deep water areas with high noise levels and sunglint. The Sentinel 2 images depicted 2 tiles of the same orbit and were collected in 2016 (2 images), 2017 (19 images) and 2018 (9 images). The images contain 13 bands, 3 with 60 m spatial resolution, 4 with 10 m spatial resolution and 6 with 20 m spatial resolution. Before the spectra extraction, the bands with spatial resolution 10 and 20 m were resampled to 60 m and then the images were cropped in order to remove the land and depict optically homogenous sea regions. A figure depicting the location of the Sentinel 2 tiles (white polygons (1,2)) and the cropped tiles (red polygons (3,4)) is included in this folder. A figure depicting example scenes from which spectra were obtained through regions of interest (rois) is included as well. The spectra are stored in .csv files. Each file is named after the name of the Sentinel 2 product which includes sensing and creation date as well the relative orbit number and tile code. The content of each file includes latitude and longitude coordinates (UTM/WGS84 projection) of each spectral signature as well as the reflectance values of the 13 Sentinel 2 bands.<br>This dataset was created for the purpose of the study described in https://www.tandfonline.com/doi/full/10.1080/01431161.2020.1714776<br>
DOI: 10.17632/2jwxk7c2xx
title: Soil properties, antibiotic and heavy metal concentrations in greenhouse

description: This dataset contains original measurements of soil physicochemical properties, antibiotic concentrations, and heavy metal levels collected from greenhouse vegetable fields in Yunnan Province, China. Samples were obtained across three cultivation durations (&lt;1 year, 5 years, and &gt;10 years) and along vertical soil profiles (0–100 cm).
DOI: 10.17632/6kvzv95w7r
title: TIRF Microscopy Image Sequences of FcεRI-Centric Synapse Formation in RBL-2H3 Cells Dataset

description: 1. Introduction Total internal reflection fluorescence (TIRF) microscopy was used to image the IgE-FcεRI receptor signaling complex in rat basophilic leukemia (RBL-2H3) cells coming into contact with a supported lipid bilayer, modeling an immunological model synapse. When mast cells contact a monovalent antigen-bearing fluid lipid bilayer, IgE-loaded FcεRI receptors aggregate (forming receptor clusters) at contact points and trigger degranulation and the release of immune activators. After aggregation, micron-sized cluster move by apparently performing diffusion or random walk motion [1] to eventually coalesce to form a big FcεRI-centric receptor patch, called the mast cell synapse [2]. 2. Data Info This data sets contains microscope image sequences of this synapse formation. The data are provided as Image Cytometry Standard (.ics) files with corresponding .ids files. These files can be readily opened with ImageJ (also known as Fiji), see: https://imagej.net/Fiji. Image exposure was 50 ms or 100 ms and pixel size was 167 nm. Images were taken every second. Image exposure is indicated in the folder name. A total of 8 time series or movies of RBL-2H3 cells forming this big FcεRI-centric receptor patch are included in this data set.
DOI: 10.17632/sk6m66x4tj
title: Potential of selected cuban biomasses for thermochemical conversion into bioenergy

description: Data on the rapid, elemental and calorimetric analysis, such as ash melting behaviour and thermogravimetric profiles of Cuban biomass feedstocks are shown in order to assess their potential for bioenergy production. The studied biomasses are Jatropha curcas husk, Moringa oleifera husk, Dichrostachys cinerea, Ulva lactuca, Chaetomorpha gracilis and Sargassum fluitants. Seed, kernels or stems and algae were characterized by weight. Sample preparation and tests were established according to referenced German standards with particle size &lt; 75 mm. Also thermogravimetric analyses have been performed at 10ºC/min in Argon atmosphere. Data in the paper are shown in Tables and Graphs. The data represent valuable information for further implementation of gasification or pyrolysis processes to using these biomasses.
DOI: 10.6084/m9.figshare.10298132.v1
title: The probability of MxxxxxK occurring by chance in three amino acid sequences

description: This project describes statistical analyses of the likelihood of the extended doubleton motif MxxxxxK arising by chance in three short amino acid sequences
DOI: 10.6084/m9.figshare.24268795.v2
title: Comparison matrix of risk factors extracted from (Chikodzi, 2013)

description: This dataset is an extraction from the cited authors and does not in anyway connotes ownership. it has just been used to explain how the research has been carries outThe data and codes that support the findings of this study are available with the identifier(s) at the private link
DOI: 10.6084/m9.figshare.26243894.v1
title: Groundwater Quality in West Jakarta Period 2019 to 2023

description: Groundwater quality data is obtained from performance documents issued by the government, the data includes groundwater quality data based on physical, chemical and biological parameters.
DOI: 10.17632/9fxvxx4hhd
title: Quality Data and Model Structure with PLS-SEM Line Analysis

description: Quality Data and Model Structure with PLS-SEM Line Analysis
DOI: 10.17632/mcj6vkg6zw
title: Classical Arabic Poetry: Classification based on Era

description: This is the cleaned fragmented dataset described in the paper "Classical Arabic Poetry: Classification based on Era".
The dataset was originally scraped from Adab.com in April 2020.
DOI: 10.6084/m9.figshare.14381258.v3
title: MS raw data of Single-cell Lipidomics with High Structural Specificity by Mass Spectrometry

description: MS raw data of Single-cell Lipidomics with High Structural Specificity by Mass Spectrometry.
DOI: 10.6084/m9.figshare.19307936.v1
title: Data and code used for the work entitled "Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content"

description: The use of social media and location-based networks through GPS-enabled devices provides geospatial data for a plethora of applications in urban studies. However, the extent to which information found in geo-tagged social media activity corresponds to the spatial context is still a topic of debate. In this article, we developed a framework aimed at retrieving the thematic and spatial relationships between content originated from space-based (Twitter) and place-based (Google Places and OSM) sources of geographic user-generated content based on topics identified by the embedding-based BERTopic model. The contribution of the framework lies on the combination of methods that were selected to improve previous works focused on content-location relationships. Using the city of Lisbon (Portugal) to test our methodology, we first applied the embedding-based topic model to aggregated textual data coming from each source. Results of the analysis evidenced the complexity of content-location relationships, which are mostly based on thematic profiles. Nonetheless, the framework can be employed in other cities and extended with other metrics to enrich the research aimed at exploring the correlation between online discourse and geography.
DOI: 10.6084/m9.figshare.19661055.v1
title: Code for figures and statistics.R

description: Code to reproduce figures and statistical analysis
DOI: 10.6084/m9.figshare.26011219.v2
title: Hydrogen generation from ferrous saponite in reaction with H₂S-containing fluid: relevance to early Martian habitability [Dataset]

description: Source data for figures in “Hydrogen generation from ferrous saponite in reaction with H₂S-containing fluid: relevance to early Martian habitability”.
DOI: 10.6084/m9.figshare.27038320.v5
title: Genetic risk factors underlying white matter hyperintensities and cortical atrophy

description: This page provides two files containing the summary statistics for meta-analyses of genome-wide association studies of white-matter hyperintensities (WMH): <br>metaGWAS_PC1_WMH_insulaTH_20241003.txt.gz: For the primary GWAS with cortical thickness in the insular region (insulaTH), and metaGWAS_PC1_WMH_MCT_20241003: For the global mean cortical thickness (MCT) used in the sensitivity analyses. <br>The measurements are based on the first principal component of WMH vs. insulaTH and vs. MCT, involving participants from European ancestry in the CHARGE consortium and the UK Biobank (UK Biobank Project 43688).Abstract:White matter hyperintensities index structural abnormalities in the cerebral white matter, including axonal damage. The latter may promote atrophy of the cerebral cortex, a key feature of dementia. Here, we report a study of 51,065 individuals from 10 cohorts demonstrating that higher white matter hyperintensity volume associates with lower cortical thickness. The meta-GWAS of white matter hyperintensities-associated cortical ‘atrophy’ identifies 20 genome-wide significant loci, and enrichment in genes specific to vascular cell types, astrocytes, and oligodendrocytes. White matter hyperintensities-associated cortical ‘atrophy’ showed positive genetic correlations with vascular-risk traits and plasma biomarkers of neurodegeneration, and negative genetic correlations with cognitive functioning. Fifteen of the 20 loci regulated the expression of 54 genes in the cerebral cortex that, together with their co-expressed genes, were enriched in biological processes of axonal cytoskeleton and intracellular transport. The white matter hyperintensities-cortical thickness associations were most pronounced in cortical regions with higher expression of genes specific to excitatory neurons with long-range axons traversing through the white matter. The meta-GWAS-based polygenic risk score predicts vascular and all-cause dementia in an independent sample of 500,348 individuals. Thus, the genetics of white matter hyperintensities-related cortical atrophy involves vascular and neuronal processes and increases dementia risk.
DOI: 10.17632/5695ctj5cm
title: Effect of quercetin on the morphology of chicken embryo blood cells

description: Chicken-embryo blood cells were assessed for morphological differences upon incubation with solvent control (DMSO), quercetin, methyl methanesulfonate (MMS), cadmium chloride (CdCl2) and phosphate buffered saline (PBS). After incubation, blood was extracted, transferred to glass slides, and blood smears were performed. Dry blood smears were fixed and sequentially stained with eosin Y and a mixture of methylene blue/azure B. After washing, blood smears were mounted, and slides were imaged by bright-field microscopy (40 x magnification).
DOI: 10.6084/m9.figshare.25894831.v2
title: Effect of elderly school policy on quality of life among Thailand’s senior citizens

description: Effect of elderly school policy on quality of life among Thailand’s senior citizens
DOI: 10.6084/m9.figshare.5827368.v1
title: Supplementary Material for: Vascular Endothelial Growth Factor-A<sub>165</sub>b Restores Normal Glomerular Water Permeability in a Diphtheria-Toxin Mouse Model of Glomerular Injury

description: <b><i>Background/Aims:</i></b><i></i> Genetic cell ablation using the human diphtheria toxin receptor (hDTR) is a new strategy used for analysing cellular function. Diphtheria toxin (DT) is a cytotoxic protein that leaves mouse cells relatively unaffected, but upon binding to hDTR it ultimately leads to cell death. We used a podocyte-specific hDTR expressing (Pod-DTR) mouse to assess the anti-permeability and cyto-protective effects of the splice isoform vascular endothelial growth factor (VEGF-A<sub>165</sub>b). <b><i>Methods:</i></b><i></i> The Pod-DTR mouse was crossed with a mouse that over-expressed VEGF-A<sub>165</sub>b specifically in the podocytes (Neph-VEGF-A<sub>165</sub>b). Wild type (WT), Pod-DTR, Neph-VEGF-A<sub>165</sub>b and Pod-DTR X Neph-VEGF-A<sub>165</sub>b mice were treated with several doses of DT (1, 5, 100, and 1,000 ng/g bodyweight). Urine was collected and the glomerular water permeability (L<sub>p</sub>A/V<sub>i</sub>) was measured ex vivo after 14 days. Structural analysis and podocyte marker expression were also assessed. <b><i>Results:</i></b><i></i> Pod-DTR mice developed an increased glomerular L<sub>p</sub>A/V<sub>i</sub> 14 days after administration of DT (all doses), which was prevented when the mice over-expressed VEGF-A<sub>165</sub>b. No major structural abnormalities, podocyte ablation or albuminuria was observed in Pod-DTR mice, indicating this to be a mild model of podocyte disease. However, a change in expression and localisation of nephrin within the podocytes was observed, indicating disruption of the slit diaphragm in the Pod-DTR mice. This was prevented in the Pod-DTR X Neph-VEGF-A<sub>165</sub>b mice. <b><i>Conclusion:</i></b><i></i> Although only a mild model of podocyte injury, over-expression of the anti-permeability VEGF-A<sub>165</sub>b isoform in the podocytes of Pod-DTR mice had a protective effect. Therefore, this study further highlights the therapeutic potential of VEGF-A<sub>165</sub>b in glomerular disease.