cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mj37m8wcw7
title: Resistivity of Solid and Liquid Fe-Ni-Si with applications to the cores of Earth, Mercury and Venus

description: Electrical resistivity measurements of Fe-10wt%Ni-10wt%Si have been performed in a multi-anvil press from 3-20 GPa up to 2200 K. The temperature and pressure dependences of electrical resistivity are analyzed in term of changes in the electron mean free path. Similarities in the thermal properties of Fe-Si and Fe-Ni-Si alloys suggest the effect of Ni is negligible. Electrical resistivity is used to calculate thermal conductivity via the Wiedemann-Franz law, which is then used to estimate the adiabatic heat flow. The adiabatic heat flow at the top of Earth’s core is estimated to be 14 TW from the pressure and temperature dependences of thermal conductivity in the liquid state from this study, more than twice that of a pure Fe core. The calculated adiabatic heat flux density of 22.7-32.1 mW/m2  at the top of Mercury’s core suggests a chemically driven magnetic field from 0.02-0.21 Gyr after formation. A thermal conductivity of 140-148 Wm−1K−1 is estimated at the center of a Fe-10wt%Ni-10wt%Si Venusian core, suggesting the presence of a solid inner core and an outer core that is at least partially liquid.
DOI: 10.17632/rbgx99ym6j
title: Tetranychus urticae, Aphididae and Healty leaf Dataset for Crop Pest Recognition (4185 images)

description: This dataset is a sample of 4185 images for clases Tetranychus urticae, Aphididae and Healty leaf, composed by three datasets:

1) Huang, Mei-Ling, Chuang Tzu Chin. (2020). A database of eight common tomato pest images, Mendeley Data, V1, doi: 10.17632/s62zm6djd2.1
2) Parraga-Alava Jorge, Cusme Kevin, Loor Angélica, Santander Esneider. (2019). RoCoLe: A robusta coffee leaf images dataset, Mendeley Data, V2, doi: 10.17632/c5yvn32dzg.2
3) Randomly chosen images from the internet and a proprietary dataset of photos taken with a smartphone in different nurseries in the City of Colima and in ORNACOL (https://ornacol.com/) nurseries. It was preferred that the images of the sample were clear, during the day, without any treatment by any type of software.
DOI: 10.6084/m9.figshare.27637182.v1
title: Dataset.xlsx

description: The data sheet of our study, based on Corruption, Suicide, Inflation, Unemployment, and Economic growth of the American region.
DOI: 10.17632/9xjyrftzth
title: The Vitruvian Man Dataset of Analytic calculations and synthetic shapes for validation of quantitative contour comparison software

description: This dataset was created to be used for the validation of quantitative contouring assessment tools and implementations. It consists of 6 Synthetic CTs with 3 different image geometries (coarse, typical and fine) and a total of 297DICOM RTSS files each defining one single 3D structure, generated with simple parametric functions with known geometry. The source code used to generate the data as well as the corresponding analytically calculated ground truth values for various contouring assessment measures for a set of paired reference and test shapes can be found at https://github.com/Vitruvian-phantom-for-RadOnc/VitruvianPhantomPy.
DOI: 10.17632/xvt962wptp
title: Eye-tracking Technology in Identifying Visualizers and Verbalizers- Data on Eye-movement Differences and Detection Accuracy

description: The current experiment aims to reveal the eye movement differences of visualizers and verbalizers in viewing four pictures-in-text by analyzing gaze plot path and fixation data (fixation duration, fixation counts and the average time on each fixation). Even though learning style theory and its traditional assessment approach were criticized for various reasons, there is a lack of commonly-accepted alternatives for now. Therefore, to assess the accuracy of eye-tracking technology in identifying learners of these two types (visual or verbal), the traditional pencil-and-paper approach was also adopted for comparison. For this experiment, the Index of Learning Styles (ILS) questionnaire was selected. This dataset presents the experiment materials (File 1), answer sheet and ILS questionnaire (File 2), raw data exported from Tobii eye-tracker (File 3 and 4), and the organized data (File 5 and 6). File 5 is the organized raw data which merges the raw data for different documents into one excel. File 6 contains the result of self-report learning styles, either visual or verbal, as well as the calculation process.
DOI: 10.22023/mdx.11591055.v1
title: Phrases that were incorrectly classified in the validation of the text classifier of the virtual assistant for personalised asthma management (ADAPT)

description: This data set represents the phrases that were incorrectly classified in the validation of the text classifier of the virtual assistant that is reported in ADAPT.<br>The data set shows what algorithm(s) incorrectly classified each of these phrases.
DOI: 10.17632/53y4wdbcf2
title: Is There a Stationary Home Price-Rent Relationship in US Housing Markets?

description: This is the data for the paper "Is There a Stationary Home Price-Rent Relationship in US Housing Markets?".
DOI: 10.17632/gn2wbkh7j3
title: Keypoint tracking for Dedek et al.

description: Model for tracking mouse keypoints made with DeepLabCut. Trained on a single video of mice while moving the camera with motorized actuators.
DOI: 10.17632/gxgg933ny3
title: E-Staining DermaRepo

description: Skin ailments have a huge contribution towards global economy. To reduce the global disease burden there is a need to stop skin disease progression. In-time diagnosis plays a crucial role in reducing the disease impact. Among various skin imaging modalities, whole slide imaging is being utilised worldwide to analyse skin-associated disease biomarkers. Whole slide images when acquired after conducting a biopsy, are passed through a chemical process known as staining. The process helps highlight certain disease-associated structures. Staining is a lengthy procedure involving chemical reactions and also requires skilled pathologists. To reduce this overhead and standardise the procedure, the process can be virtualise using AI models. Our data repository is comprised of 87 un-stained whole slide images, paired with chemically H&E-stained image samples. We have utilised these pairs to train a Contrastive GAN model capable of synthesizing stained images when un-stained input is passed.
DOI: 10.17632/rxrc24s6bf
title: Real Effects of Supplying Safe Private Money

description: This is the data and code that accompanies the paper "Real Effects of Supplying Safe Private Money"
DOI: 10.17632/w6v4z2j754
title: NCC.MT.resistivity.2021

description: 1.The 3-D isotropic resistivity model covers the central portion of NCC containing all the three major blocks (TNCO, ENCC, WNCC), which is inverted from 41 long period and 142 broadband MT sites acquired by the SINOPROBE project. Depth Coverage: 0 - 1000 km (It is reliable < 200 km); Areal Coverage: Latitude: 34°N to 40°N; Longitude: 106.7°E to 118.4°E.
2. The 2-D anisotropic model along the profile(start point: 114.849°E, 34.305°N; End point: 116.08°E, 37°N) in the south part of North China Plain.
DOI: 10.17632/6tx3ndy6d9
title: Annotated Tweet Datasets for Cyberattack Relevance

description: We created a smaller dataset of 2000 sample tweets from the raw tweet dataset. This curated dataset, called "Cyberattack Annotated Sample Dataset", is kept in an Excel file and the columns are listed as follows: "Username", "ID", "Tweet", "Date", "Cyberattack Relevance", and "Rule-Based CA Relevance". The Cyberattack Relevance column has two values: CA-positive and CA-negative. While CA-positive means that the tweet is related to cyberattacks, CA-negative means that the tweet is not related to cyberattacks. The values for this column were manually assigned using Cybersecurity Relevant Term List. The number of tweets labeled "CA-positive" is 528 and the number of tweets labeled "CA-negative" is 1472. There is also another column called "Rule-Based CA Relevance", which has the same two values: CA-positive and CA-negative. We note that the "Cyberattack Relevance" column has labels based on manual annotation. Finally, by applying the semi-supervised annotation based on Cyberattack Annotated Sample Dataset to the original full datasets, we annotated them and saved it as Excel files, Cyberattack Annotated Full Dataset. Of the 8,577,713 tweets, 7,017,392 received the label 'CA-negative', while 1,560,321 received the label 'CA-positive.'
DOI: 10.17632/dztbtthvzf
title: Data for: An SPO-induced CPO in composite mantle xenoliths correlated with increasing melt-rock interaction

description: Excel files containing major, trace element, and water concentration data for olivine and pyroxene
DOI: 10.17632/sdhjyzkxsd
title: Lip Reading Vowel-Bangla (LRV-B) Dataset

description: The Lip Reading Vowel-Bangla (LRV-B) Dataset is a curated collection of video recordings focused on the articulation of Bangla vowels. It is designed to support research in lip reading and visual speech recognition for the Bangla language. The dataset captures the lip movements associated with 6 (six) key Bangla vowel sounds, providing a valuable resource for developing and evaluating models in speech recognition, language processing, and assistive technologies. By concentrating on vowels, the LRV-B Dataset addresses the specific challenges of recognizing and interpreting these fundamental speech components in Bangla.
DOI: 10.6084/m9.figshare.17097156.v1
title: Bactopia Tutorial Outputs

description: These are the results produced when running the Bactopia Tutorial with v2. The tutorial can be found here: https://bactopia.github.io/tutorial/
DOI: 10.17632/kjvdtn42xv
title: Data for: Numerical study on flow and heat transfer in microchannel heat sink using hybrid manifold arrangement and secondary channels

description: The data presented here are the basis for the study reported in the research article entitled “Numerical study on flow and heat transfer in microchannel heat sink using hybrid manifold arrangement and secondary channels”. On the one hand, this data set contains all the raw numerical data, such as the max temperature of the microchannel heat sink Tmax, the area-weighted average temperature of fluid at the outlet Tout, and the area-weighted average temperature of the interface between the coolant and solid wall Tw. In addition, this data set also contains all the processed numerical data, such as the Reynolds number Re, the total thermal resistance Rt, the average heat transfer coefficient h, the average Nusselt number Nu, the apparent friction factor f, and the performance evaluation criteria PEC.
DOI: 10.25452/figshare.plus.25127657.v1
title: Processed CODEX Data (Seurat Objects)

description: Seurat objects containing the raw and normalized data for:Normal bone marrow (NBM) atlas: contains all cells obtained through segmentation after filtering and QC. Includes coarse and fine level of annotations that were obtained through an iterative process of subclustering. Neighborhood analysis results are included as a metadata column. Additional Osteo-MSC and Fibro-MSC cells that were manually annotatedAML/NSM CODEX data: contains all cells after filtering for 3 diagnostic and 2 post-therapy AML samples as well as 3 negative staging marrow samples. Cell labels were derived through reciprocal principal component analysis (RPCA) reference mapping onto the normal bone marrow atlas. Neighborhood analysis was conducted separately for AML Diagnostic, AML Post-Therapy, and NSM samples. Neighborhoods were manually annotated for each set. The results of the neighborhood analysis were merged and included in the metadata of the Seurat object. All normalized data is stored in the Seurat assay object. Markers that were not included in normalization and downstream analysis are included with raw values as a metadata column. Full source code used to generate these objects can be found on GitHub: https://github.com/shovikb94/spatial-bonemarrow-atlas/tree/mainSee related materials in Collection at: https://doi.org/10.25452/figshare.plus.c.7174914
DOI: 10.6084/m9.figshare.27323031.v3
title: Experimental Study on the Effects of Ambient Light on the Precision of Short-Range Near-Infrared LiDAR Systems

description: This work investigates the influence of ambient light noise on the performance of an 850 nm single-point light detection and ranging (LiDAR) system, specifically focusing on targets with varying reflectivity and range. A commercial LiDAR module was used, in conjunction with six distinct specimens, to collect and analyze spatial-temporal data over a measurement range of up to 4 meters. The spatial-temporal analysis of quasi-static experimental data reveals that luminous intensity and range critically affect LiDAR accuracy. At the same time, reflectivity consistently impacts LiDAR measurements irrespective of their magnitude but varies with material type. The relative error in measurement, reflectivity of material, and luminous intensity of the light noise exhibit near-normal distributions with asymmetrical tails. Statistically significant differences between the distributions of relative error, reflectivity, and luminous intensity highlight the complex interactions influencing LiDAR performance. These findings offer essential insights for the design and optimization of LiDAR systems, ensuring accurate environmental sensing under variable ambient light conditions, and they affirm the possibility of developing transferable models.
DOI: 10.17632/t9pnx4kjys
title: Slab Subduction and Pull Link Magmatism at Active and Passive Continental Margins

description: This dataset includes: (1） Age data statistics of the Early Plaeozoic mafic rocks from the SQB and NQB；（2）LA-ICP-MS zircon U-Pb isotope data for the Zhenping, Maoba and Mengshiling mafic rocks of this text in the SQB; (3) Major (wt.%) and trace (ppm) element contents, whole-rock Sr-Nd-Hf isotopic compositions of mafic dykes from the South Qinling;  (4) The REE model parameters of non-modal equilibrium partial melting of garnet peridotite and spinel peridotite; (5) Mantle source P-T conditions estimated for representative rocks from South Qinling by PRIMACALC2 model.
DOI: 10.6084/m9.figshare.26045725.v1
title: The genome of flame lily(<i>Lilium sargentiae</i>)

description: The final assembly of the L. sargentiae genome sequence was 47.09 Gb in length (contig N50 = 0.93 Mb; scaffold N50 = 2.85 Gb) with 35 scaffolds (longest scaffold length = 5.31 Gb and average scaffold length = 1.35 Gb) ,Based on ab initio and evidence-based predictions, 45,419 (L. sargentiae) protein-coding genes were annotated and the average lengths were 40,128bp, respectively, both are longer than those in other published angiosperm genomes。
DOI: 10.17632/pt2rw9rh6j
title: Data for: Transferability of Buckingham Parameters for Short-Range Repulsion between Topological Atoms

description: This repository provides additional data to accompany the paper:

"Transferability of Buckingham Parameters for Short-range Repulsion between Topological Atoms"
J. J. K. Chung, M. L. Brown, P. L. A. Popelier
Journal of Physical Chemistry A (2024)
DOI: https://doi.org/10.1021/acs.jpca.4c02048 

The paper investigates the behaviour and transferability of the A and B parameters in the repulsive term of a Buckingham potential fitted to IQA energies. This repository contains the associated data, including: 

• Values and RMSE of the fitted parameters
• Raw data from the energy calculations
• Monomer geometries
• RMSE used to quantify transferability

The software and settings used to generate this data can be found in the main article and supporting information.
DOI: 10.6084/m9.figshare.9361502.v1
title: Supplementary Material for: Skin Care and Synbiotics for Prevention of Atopic Dermatitis or Food Allergy in Newborn Infants: A 2 × 2 Factorial, Randomized, Non-Treatment Controlled Trial

description: <b><i>Background:</i></b> Atopic dermatitis (AD) and food allergy (FA) are common childhood diseases, which may either be interrelated or be the result of skin barrier disruption and gut mucosal dysbiosis. Although some evidence suggests the efficacy of emollients and synbiotics, there is no conclusive evidence on the use of these interventions alone or in combination. <b><i>Objectives:</i></b> This study is aimed at identifying the efficacy of emollients and synbiotics in preventing AD and FA in children during the first year of life. <b><i>Methods:</i></b> The babies of mothers recruited prenatally received either an emollient, synbiotic, both or neither. The intervention was carried out from birth up to 6 months of age. The age of occurrence of AD and FA were reported in multiple questionnaires at 1, 6, and 9 months and at 1 year of age. AD was diagnosed by a pediatrician at 9 months of age. <b><i>Results:</i></b> A ­total of 459 babies qualified for the outcome assessment at 1 year of age. Neither the emollient nor the synbiotic showed any effect on reducing the development of AD and FA at 1 year of age. <b><i>Conclusions:</i></b> This study did not provide any evidence to show that emollients and synbiotics, alone or in combination are sufficient to prevent the occurrence of AD or FA in children up to 1 year of age.
DOI: 10.17632/hctkwwzx5z
title: Benchmarking AI Workflows for Hit Detection in High-Content Screening

description: The data set contains Python scripts, raw and processed data to benchmark hit detection in high-content screening.
The raw data contains the extracted numerical features from high content images of 641 validated, highly selective pharmaceutically relevant inhibitors for over 123 targets. There were 979 features extracted using Perkin Elmer software Columbus (2.9.1532). In addition, two further raw data sets are available that were used to validate the machine learning models.
These contain staurosporines in different concentrations or compounds that effect the cell cycle. The processed data were cleaned using an outlier test and Z-score transformed. The processing of the data is also available as a Python script and can be followed there.
The other Python scripts contain the benchmarking of AI workflows for hit detection. Various machine learning models were tested, ranging from classic classifiers from the Scikit-Learn library over a partial least square regression to simple neural networks. To deal with unknown patterns in the hit detection, novelty detection was also tested.
In addition, the used packages or environments with which the benchmarking was carried out are included.
DOI: 10.6084/m9.figshare.1558257.v3
title: A benchmark of gene expression tissue-specificity metrics

description: Supplementary figures to the paper "A benchmark of gene expression tissue-specificity metrics".
DOI: 10.17632/dz79p56wbg
title: Does the Small Business Programme Benefit Self-Employed Workers?  Evidence from Nicaragua

description: Business and skills training programmes have been a popular social policy intervention to promote self-employment and improve its performance in developing countries. We study the Small Business of the Family Economy (SBFE) programme, a government business training programme designed to support self-employed workers in Nicaragua. With data from three survey rounds of the Nicaragua Living Standards Measurement Survey, we use a difference-in-differences strategy exploiting variation across time and industry in terms of eligibility to the programme. Our estimates suggest that the SBFE programme does not increases self-employed workers’ income overall but we find strong heterogeneous treatment effects for female self-employed workers with low educational attainment, which could be channeled by formal business training, working months, and having a second job.
DOI: 10.6084/m9.figshare.28189145.v1
title: Data and data-analysis code used in "On Shock Capturing Schemes for the Linear Stability Analysis of High-Speed Flows" study.

description: A novel implementation of weighted essentially non-oscillatory (WENO) schemes is presented to solve eigenvalue problems resulting from numerical discretisation of the compressible Linearised Navier--Stokes Equations within a matrix-forming framework. In boundary layer profiles featuring a discontinuity, agreement of the eigenvalues delivered by the proposed method and those found in the literature, calculated using the linearised Rankine--Hugoniot boundary condition, is excellent at the physically most significant conditions of peak amplification. Moreover, the present WENO approach delivers accurate eigenfunctions, drastically reducing oscillations that appear in the amplitude functions of linear perturbations when spatial discretisation is performed using standard finite-difference methods. In the absence of discontinuities, accurate recovery of convective instabilities is demonstrated in open and closed shear flows, at the nominal theoretical convergence rate of the WENO method.
DOI: 10.6084/m9.figshare.5126572.v1
title: Supplementary Material for: Effect of an Isoenergetic Traditional Mediterranean Diet on the High-Density Lipoprotein Proteome in Men with the Metabolic Syndrome

description: <b><i>Background/Aims:</i></b> The objective of this preliminary study was to examine the impact of the Mediterranean diet (MedDiet) on the high-density lipoprotein (HDL) proteome in men with the metabolic syndrome (MetS). <b><i>Methods:</i></b> Twenty-six men with the MetS first consumed a standardized baseline North American isoenergetic control diet (5 weeks) and then consumed an isoenergetic MedDiet (5 weeks), both in full feeding condition. The HDL fraction was isolated by ultracentrifugation at the end of each diet and the HDL proteome assessed by isobaric tags for relative and absolute quantitation and mass spectrometry. <b><i>Results:</i></b> Of all proteins identified within HDL, only 3 showed significant changes in relative abundance after the MedDiet versus the control diet, including a reduction in inflammation-related inter-α-trypsin inhibitor heavy chain H4 (fold change: 0.62) and hemoglobin subunits α (fold change: 0.40) and β (fold change: 0.46). Other HDL-bound proteins associated with functions related to lipid metabolism/cholesterol homeostasis, oxidation, coagulation, complement activation and immunity were unchanged after consumption of the MedDiet for 5 weeks. <b><i>Conclusions:</i></b> Changes in the HDL proteome may explain, at least partly, the well-known anti-inflammatory effect ascribed to the MedDiet. Otherwise, short-term consumption of the MedDiet seems to have little impact on other features of the HDL proteome in men with the MetS.
DOI: 10.17632/jd8bwnzvcg
title: Raw lab data of Fecal Calprotectin, Serum Ferritin and C-Reactive Protein in Individuals Suffering from Inflammatory Bowel Disease with coexistent Type 2 Diabetes Mellitus in Latvia

description: This is the data set for publication of: "Elevated Fecal Calprotectin, Serum Ferritin and C-Reactive Protein in Individuals Suffering from Inflammatory Bowel Disease with coexistent Type 2 Diabetes Mellitus", Sargautiene et al.
This retrospective database study compares laboratory data from patients with IBD who have T2DM (IBD with T2DM) with patients who have IBD but do not have T2DM. The studied dataset, comprising laboratory tests and disease records, comes from Latvia's clinical laboratory, "E. Gulbis Laboratory" (EGL), situated in Riga, Latvia. Data generation relied on the EGL database, which documents and stores clinical data obtained during patient laboratory visits. All patient data used in this study were subjected to deidentified measures to protect privacy. All patient data used in this study was anonymized before its use. To ensure the distinctiveness of each patient, a unique identification number was assigned to them during their initial visit to the EGL laboratory. This identifier remained unchanged for all subsequent analyses, facilitating the accurate tracking and differentiation of individual patients within the study. Unique number was additionally depersonalised in current data set by assigning unique number coded as "PATNR".