cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z88tpm3926
title: A Comprehensive View-Dependent Dataset for Objects Reconstruction - Synthetic Set Part A

description: Data were collected in the custom simulator that loads random graspable objects from the ShapeNet dataset and random table. The graspable object is placed above the table in a random position. Then, the scene is simulated using the PhysX engine to make sure that the scene is physically plausible. The simulator captures images of the scene from a random pose and then takes the second image from the camera pose that is on the opposite side of the scene. It contains RGB, depth, segmentation images of the scenes and objects on the scene and information about the camera poses that can be used to create a full 3D model of the scene and develop methods that reconstruct objects from a single RGB-D camera view. Part A of the dataset contains four categories: a bottle, a box, a can, and a cube.
DOI: 10.17632/cj2whjf27b
title: Mendeley Supplement Methods I for "Examining the burden of psoriasis and psoriatic arthritis in a diverse US adult cohort using the All of Us Research Program"

description: Supplementary Methods
DOI: 10.17632/fhftxsn29p
title: EABE-Hook-Geometry

description: This repository contains the geometric description of application three of the research article "Fatigue growth modelling of three-dimensional cracks with the Extended Isogeometric Boundary Element Method". All NURBS control points, weights, knot-vectors, connectivity and type of Boundary Integral Equations are contained here, for each propagation step.
DOI: 10.17632/kbvssyjhcj
title: Concrete pressure test- thermal images

description: The thermal dataset consists of 11,145 colour images of thermal images captured using a Hikmicro G60 in a laboratory experiment where pressure was applied to eight concrete specimens. From the recordings of the specimens, noisy and blurry data has been removed and the data has been split to give a thermal image dataset of 5,651 cracked concrete images and 5,494 uncracked concrete images. For training the AI model, we resized each image to 256 x 256 and converted it to greyscale. for more information refer to the dataset description
DOI: 10.17632/kg3yy9cz7y
title: Hydraulic head fluctuations from 2016 to 2019 at three locations in the Milan City area (northern Italy)

description: This dataset contains daily averaged hydraulic head values of the shallow aquifer in the Milan City area. Hydraulic head fluctuations were used to calibrate the 3D FEM numerical model in the research article "Modeling the interference of underground structures with groundwater flow and remedial solutions in Milan" (De Caro, M., et al., 2020). See the associated Data in Brief article "Hydro-stratigraphic datasets for the reconstruction of a large scale 3D FEM numerical model in the Milan metropolitan area (northern Italy)" (Previati, A., et al., 2020) for the location of the three groundwater monitoring boreholes.
DOI: 10.17632/xsb3sjsdwz
title: Data for: Analysis of VVER-1000 Mock-up Criticality Experiments with Nuclear Data Library ENDF/B-VIII.0 and Monte Carlo code MCS

description: This research data contains 12 inputs: 6 for the Monte Carlo code MCNP (developed at Los Alamos, New Mexico) and 6 for the Monte Carlo code MCS (developed at UNIST, South Korea). For each code, the inputs are criticality calculations modelling 6 different critical configurations of the VVER-1000 mock-up. All the inputs correspond to the reference calculations without sensivity analysis / perturbations (all the values of parameters are nominal). All the inputs use the ENDF/B-VII.1 library. The inputs are included as supplementary material with the hope that they are useful for the interpretation of VVER-1000 mock-up benchmarks, but without any warranty.
DOI: 10.6084/m9.figshare.5127778.v1
title: Supplementary Material for: Monosodium L-Glutamate and Dietary Fat Differently Modify the Composition of the Intestinal Microbiota in Growing Pigs

description: <b><i>Background: </i></b>The Chinese have been undergone rapid transition to a high-fat diet-consuming lifestyle, while monosodium L-glutamate (MSG) is widely used as a daily food additive. It has been reported that fat alters the composition of intestinal microbiota. However, little information is available on the effects of oral MSG on intestinal microbiota, and no study was done focusing on the interaction effect of fat and MSG with respect to intestinal microbiota. The present study thus aimed to determine the effects of MSG and/or fat on intestinal microbiota, and also to identify possible interactions between these two nutrients. <b><i>Methods: </i></b>Four iso-nitrogenous and iso-caloric diets were provided to growing pigs. The microbiota from jejunum, ileum, cecum, and colon were analyzed. <b><i>Results: </i></b>Our results show that both MSG and fat clearly increased the intestinal microbiota diversity. MSG and fat modified the composition of intestinal microbiota, particularly in the colon. Both MSG and fat promoted the colonization of microbes related to energy extraction in gastrointestinal tract via different ways. MSG promoted the colonization of <i>Faecalibacterium prausnitzii </i>and <i>Roseburia</i>, while fat increased the percentage of <i>Prevotella</i> in colon and other intestinal segments. <b><i>Conclusion: </i></b>Our results will help to understand how individual or combined dietary changes modify the microbiota composition to prevent obesity.
DOI: 10.17632/fck4hnvx86
title: Data for: Structural and electrical characteristics of nanocrystalline La2Sn2O7 pyrochlore

description: All the data plots are here.
DOI: 10.17632/tvtg7gs59p
title: Aluminium Alloy Dataset for unsupervised learning

description: Experimental aluminium alloy dataset for unsupervised learning.
DOI: 10.17632/jwm9sr25vn
title: Using artificial intelligence to analyze the relationship between platelets and cancer

description: Summary: Analysis of Platelet Counts and Cancer Prognosis
Model Performance
Accuracy: 85% on test data.
Precision: 87% for detecting advanced cancer stages.

Recall: 81% for advanced cancer stages.
Confusion Matrix:
Correctly classified: 159 out of 180 samples.
False Negatives: 12 advanced cases misclassified as early (critical for high-risk patients).
Visualization Insights
Platelet Counts by Cancer Stage:
Stage 1/2: Counts near the normal range (150-400 × 10³/µL).
Stage 3/4: Elevated counts, indicating thrombocytosis in advanced stages.
Confusion Matrix Heatmap:
71 true negatives (early stages correctly identified).
88 true positives (advanced stages correctly identified).
9 false positives, 12 false negatives.
Predicted vs. Actual Advanced Stage Rates:
Predicted advanced stage rate: 45%.
Actual advanced stage rate: 43%.
Prognosis Analysis
Platelet Counts: Strongly associated with advanced stages, particularly when &gt;300 × 10³/µL.
Cancer Types: Leukemia showed higher platelet variations than colon cancer.
Model Utility: Provides robust early detection for advanced stages to aid timely interventions.
Recommendations
Clinical Use:
Platelet count as a supportive biomarker for high-risk cases.
Use the model for further diagnostic referrals.
Future Enhancements:
Incorporate additional biomarkers (e.g., CRP, D-dimer).
Validate predictions with real-world data.
Personalized Medicine:
Investigate interactions of demographic variables (age, gender) with platelet counts.
Conclusion
Platelet counts reliably indicate advanced cancer stages.
Machine learning models can effectively predict prognosis and support personalized diagnostics.
Further refinement and validation could enhance accuracy and clinical adoption.
 Platelet_Count Age Gender Cancer_Type Cancer_Stage Advanced_Stage Predicted_Advanced_Stage
0 314.835708 45 0 2 4 1 0
1 253.086785 53 0 3 1 0 0
2 322.384427 78 1 1 4 1 0
3 346.151493 75 0 2 2 0 0
4 268.292331 78 1 0 3 1 0
 Platelet_Count Age Gender Cancer_Type Cancer_Stage Advanced_Stage Predicted_Advanced_Stage
count 500.000000 500.000000 500.000000 500.000000 500.000000 500.000000 500.000000
mean 270.361900 49.078000 0.462000 1.490000 2.002000 0.294000 0.006000
std 50.466800 17.412936 0.499053 1.120898 0.981796 0.456048 0.077304
min 107.936633 20.000000 0.000000 0.000000 1.000000 0.000000 0.000000
25% 235.889024 33.000000 0.000000 0.000000 1.000000 0.000000 0.000000
50% 271.577131 49.000000 0.000000 2.000000 2.000000 0.000000 0.000000
75% 305.130181 65.000000 1.000000 2.000000 3.000000 1.000000 0.000000
max 482.636575 79.000000 1.000000 3.000000 4.000000 1.000000 1.000000
Dataset saved as 'synthetic_platelet_cancer_data.csv'.
First few rows of the dataset:
 Platelet_Count Age Gender Cancer_Type Cancer_Stage Advanced_Stage


Conclusion
Platelet counts reliably indicate advanced cancer stages.Machine learning models can effectively pred.
DOI: 10.17632/24bbbwg75n
title: Numerical Investigation of Injection Characteristics on Normal Saline Irrigation Quality in Curved Root Canals using Computational Fluid Dynamics

description: Fluid Dynamics (CFD) was used to simulate irrigation in root canals. Root canal geometries were obtained by considering the complete shaping of a rotary file in four root groups with 0, 10, 30, and 60 degrees of curvatures. Fluid surface tension, bouncy, gravity, and air entrance were considered in the numerical simulation using Ansys-CFX software. the raw data of this study was upload here.
DOI: 10.17632/vrtx3w6mjd
title: Spatial datasets for benchmarking machine learning-based landslide susceptibility models

description: The spatial dataset consists of 743 landslide polygons, landslide centroid points, randomly non-landslide points, and 11 landslide-controlling factors. Landslide polygons were delineated through manual interpretation of high-resolution satellite imagery. The landslide-controlling factor data were extracted from topographic maps and Indonesia’s national digital elevation model (DEMNAS). The landslide-event dataset was mapped by comparing pre- and post-event (Tropical cyclone (TC) Cempaka, which occurred on 27–29 November 2017) high-resolution satellite imageries and conducting field surveys. The landslide polygons indicate areas with confirmed landslide occurrences, while the landslide-controlling factors data includes slope aspect, distance to river, distance to road, elevation, lithology, landuse, plan curvature, profile curvature, slope, stream power index, and terrain wetness index. The landslide polygons and points are stored in gpkg format, while the landslide controlling factors are stored in tif format. Files with xml and tfw extensions are text files used to store metadata and georeference of a tif raster file. All data can be opened using GIS software such as QGIS. The datasets can also be accessed and opened using R or Python using specified geospatial libraries such as SF and Terra.
DOI: 10.5061/dryad.g4f4qrfmr
title: Unravelling selection signatures in a single dog breed suggests recent selection for morphological and behavioural traits

description: Strong selection has resulted in substantial morphological and behavioural
 diversity across modern dog breeds, which makes dogs interesting model
 animals to study the underlying genetic architecture of these traits.
 However, results from between-breed analyses may confound selection
 signatures for behaviour and morphological features that were co-selected
 during breed development. In this study, we assess population genetic
 differences in a unique resource of dogs of the same breed but with
 systematic behavioural selection in only one population. We exploit these
 different breeding backgrounds to identify signatures of recent selection.
 Selection signatures within populations were found on chromosomes 4 and
 19, with the strongest signals in behaviour-related genes.  Regions
 showing strong signals of divergent selection were located on chromosomes
 1, 24 and 32, and include candidate genes for both physical features and
 behaviour. Some of the selection signatures appear to be driven by loci
 associated with coat colour (Chr 24; ASIP) and length (Chr 32; FGF5),
 while others showed evidence of association with behaviour. Our findings
 suggest that signatures of selection within dog breeds have been driven by
 selection for morphology and behaviour. Furthermore, we demonstrate that
 combining selection scans with association analyses is effective for
 dissecting the traits under selection.
description: The description of the files that accompany  "Unravelling selection
 signatures in a single dog breed suggests recent selection for
 morphological and behavioural traits."   can be found in
 README_Data_Friedrich_SelectionSignaturesDogs_13032020.txt (for the data
 files) and
 in README_Supplement_Friedrich_SelectionSignaturesDogs_13032020.txt (for
 the supplemental information).
DOI: 10.17632/t25r4r7nw8
title: Experimental water adsorption isotherms and Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) analysis in Achira (Canna edulis K.) biscuits

description: The dataset compiles water adsorption isotherms and infrared spectral data for Achira (Canna edulis K.) biscuits. The water sorption isotherms were experimentally determined using the Dynamic Dewpoint Isotherm (DDI) method, with measurements taken over a water activity range from 0.1 to 0.8, at temperatures of 25, 35, and 45 ºC. The Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy technique was employed to characterize the spectral properties of the biscuits. This dataset provides a comprehensive basis for researchers, food scientists, and industry professionals to model key parameters related to the shelf life and hygroscopic behavior of Achira biscuits. Additionally, the data supports the development of optimized packaging solutions designed to maintain moisture stability and preserve sensory qualities. The dataset is organized in Excel sheets and structured by experimental conditions and replicates.
DOI: 10.17632/wgfhmx37ng
title: Dataset for Solar-Powered Submersible Pump Systems

description: Data were collected for 6 months period in order to train and evaluate predictive AI models. The system described in section 2 was operated, and
data were collected in the Khataba region in Elsadat, Beheira Government in Egypt. 110022 records were collected.The dataset collected consisted of
two categories: the weather data and the inverter motor data. The weather data comprises:

1. UV index measured by (W/m2)
2. Air temperature measured by degree Celsius (◦C)
3. Wind speed measured by (m/sec)
4. Wind direction measured by degrees from North
5. Humidity measured by percentage
6. Gust measured by (m/sec)
7. Cloud cover measured by percentage.
The energy generated by solar power is influenced by various environmental factors. For example, a higher UV index generally increases energy output since solar panels rely on sunlight, though prolonged exposure can degrade materials over time. Air temperature, on the other hand, has a negative impact on the energy generated. However, while solar panels need sunlight, excessive heat reduces efficiency due to increased electrical resistance, therefore, wind speed can be beneficial in cooling the panels, helping to counteract temperature-related losses, but strong gusts may stress mounting structures. Wind direction indirectly affects performance by influencing cooling efficiency, depending on how air flows around the panels. On the other hand, humidity reduces energy output because water vapor scatters sunlight, limiting the amount of radiation reaching the panels, and over time, excessive moisture can degrade panel components. Similarly, cloud cover reduces the effect of direct sunlight, leading to lower energy production. Overall, optimal conditions for solar energy include high UV levels, moderate temperatures, steady cooling winds, and minimal humidity or cloud cover.
The weather data were collected daily using the stormglass.io API given a certain position in terms of longitude and latitude. This data represents
the parameters that affect the solar energy, hence the input power to the inverter motor. Data related to the inverter motor are:
1. Frequency reference
2. Output frequency
3. Output current
4. DC bus voltage
5. Output power
6. Output frequency fault
7. Heatsink temperature
8. Proportional-Integral-Derivative (PID) controller output
9. PID input

For more information about the dataset or the system please read and cite our publication: "AI-Driven Digital Twin for Solar-Powered Submersible Pump Systems: A Machine Learning Approach for Performance Optimization"
DOI: 10.17632/xcxvgh9zd2
title: School climate, work stress, teacher retention, TALIS 2018

description: This dataset contains refined data from TALIS 2018 for measuring School climate, work stress, and teacher retention,.
DOI: 10.17632/p4t556xwdv
title: Data for: Diagnostic model of visceral leishmaniasis based on bone marrow findings. Study of patients with clinical suspicion in which the parasite is not observed.

description: Databases for the study "Diagnostic model of visceral leishmaniasis based on bone marrow findings. Study of patients with clinical suspicion in which the parasite is not observed". Includes bone marrow data and other diagnostic data of patients with clinical suspicion of Visceral Leishmaniasis (but not confirmed) and of patients with confirmed Visceral Leishmaniasis. The first database includes the data used to elaborate a diagnostic model in the cases in which the Leishmania is not observed. The second one includes the data used for the external validation of this model.
DOI: 10.17632/r64v6fzd8w
title: Data for: Simulation error in maximum likelihood estimation of discrete choice models

description: Data, Matlab codes and results of the simulations and models presented in the paper.
DOI: 10.6084/m9.figshare.13490292.v2
title: Antigen testing for COVID-19 vs RT-PCR and viability

description: The dataset contains results of testing in 494 patients who were tested by a selected antigen test and RT-PCR for the presence of SARS-CoV-2 with the intention to validate the antigen test. In addition, virus viability was assessed in all samoles where these two methods returned different results.<br>
DOI: 10.6084/m9.figshare.1050545.v1
title: HIV Testing Implementation in Two Urban Cities

description: Abstract Background: Although funding has supported the scale up of routine, opt-out HIV testing in the US, variance in implementation mechanisms and barriers in high-burden jurisdictions remains unknown. Methods: We conducted a survey of health care organizations in Washington, DC and Houston/Harris County to determine number of HIV tests completed in 2011, policy and practices associated with HIV testing, funding mechanisms, and reported barriers to testing in each jurisdiction and to compare results between jurisdictions. Results: In 2012, 43 Houston and 35 DC HIV-testing organizations participated in the survey. Participants represented 85% of Department of Health-supported testers in DC and 90% of Department of Health-supported testers in Houston. The median number of tests per organization was 568 in DC and 1045 in Houston. Approximately 50% of organizations in both DC and Houston exclusively used opt-in consent and most conducted both pre- and post-test counseling with HIV testing (80% of organizations in DC, 70% in Houston). While the most frequent source of funding in DC was the Department of Health, Houston organizations primarily billed the patient or third-party payers. Barriers to testing most often reported were lack of funding, followed by patient discomfort/refusal with more barriers reported in DC. Conclusions: Given unique policies, resources and programmatic contexts, DC and Houston have taken different approaches to support routine testing. Many organizations in both cities reported opt-in consent approaches and pre-test counseling, suggesting 2006 national HIV testing recommendations are not being followed consistently. Addressing the barriers to testing identified in each jurisdiction may improve expansion of testing.
DOI: 10.6084/m9.figshare.20847336.v1
title: Validation of the Brazilian version of the hepatitis B quality of life evaluation instrument - HBQOL, and its application to patients with chronic hepatitis B in Cascavel - PR

description: Abstract The objective of this study is to validate the specific questionnaire for Hepatitis B HBQOL (Hepatitis B Quality of Life Instrument, version 1.0) for the Brazilian version, in addition to testing its applicability in patients with hepatitis B under treatment and comparing the quality of life between patients using first-line drugs (tenofovir and entecavir). For the validation, the back-translation technique was used in a sample of 47 patients. Factor analysis was performed between the items in each domain of the questionnaire and the internal consistency was calculated using Cronbach's α coefficient. In assessing the applicability of the validated questionnaire, interviews were carried out with 124 patients. Sociodemographic and treatment data were collected to characterize the sample and perform correlation analyzes. The results demonstrate that the Brazilian version of the questionnaire was successfully validated. In the analysis carried out among the 124 patients, the domains psychological well-being and stigma obtained the highest scores in quality of life and the lowest level of education conferred better results in these two domains. The comparison between tenofovir and entecavir showed no significant difference in patients' quality of life. The use of this validated instrument can make therapeutic decisions more rational.
DOI: 10.6084/m9.figshare.28856483.v1
title: HOFSyn

description: HOFSyn: The first HOF structure (.cif) and synthesis condition dataset. Contains reference files
DOI: 10.17632/7kj4s38rvn
title: R code and Y-tube olfactometer data from: Floral and bird excreta semiochemicals attract western carpenter ants 

description: This data set described here is supplementary to a published paper titled: “Floral and bird excreta semiochemicals attract western carpenter ants”. Few studies have examined if ants use odours to locate food resources. Using Western carpenter ants, Camponotus modoc, as a model organism, we tested the hypotheses that ants would be generally attracted to all food resources (aphid honeydew, floral, carrion and animal (bird) excreta) tested. As floral resources have overlapping odourant chemicals in their odours, we further hypothesized ants would be attracted to shared semiochemicals between floral resources. The full methodology, results and their interpretation can be found in the publication.
DOI: 10.17632/n4swkg6y99
title: Data on Endogenous BRP3 Levels in PCSK1 and PCSK2 Knockout Mouse Strains

description: To investigate the proteolytic processing of the BRP3 peptide from its parent protein BRINP3, we measured endogenous BRP3 peptide levels in PCSK1 and PCSK2 knockout mouse strains. Our results show that BRP3 levels remain unaffected in PCSK1 knockout mice but are significantly reduced in PCSK2 knockout mice.
This dataset includes the raw mass spectrometry (MS) data used for these measurements, along with data from synthetic BRP3 peptide standards.