cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zyy8sd479t
title: Dataset on baseline performance and sensitivity analysis of a prefabricated house in six climate zones in Australia

description: This dataset includes the results of baseline performance evaluation and sensitivity analysis of a prefabricated house in six climate zones in Australia. The performance parameters investigated are monthly heating loads, monthly cooling loads, monthly thermal discomfort hours (TDHs) and monthly daylight unsatisfied hours (DUHs) of the living room, study room, and rumpus room in the prefabricated house.
DOI: 10.6084/m9.figshare.1304889.v1
title: Bed capacity for Ebola patients in Sierra Leone

description: This data set contains the evolution of the number of beds available in each of the three type of Ebola control centers (ETU, EHC and CCC) of the districts of Sierra Leone.
DOI: 10.6084/m9.figshare.28182260.v1
title: Seaport integrated energy system

description: Parameters of seaport integrated energy system<br>
DOI: 10.17632/jr8w2y9t5h
title: Increasing the prepartum dose of rumen-protected choline: Effects of maternal supplementation on growth, feed efficiency, and metabolism in Holstein and Holstein x Angus calves-Supplemental Files

description: Supplemental Files
DOI: 10.17632/kg4pbn89df
title: Gendered Vulnerabilities to Climate Change in Coastal Areas of Java: The Case Study of Pekalongan

description: The data shows that climate change in Pekalongan's coastal regions adversely influences the socio-economic conditions of the community, disproportionately heightening the vulnerability of women in the family, community, and labor environment. The data was gathered in the form of primary and secondary data. Primary data was obtained through in-depth interviews, while secondary data was collected through scientific journal searches.
DOI: 10.6084/m9.figshare.26039227.v1
title: longevity_microbes_data

description: There is a growing interest in studying the microbiota associated with aging by integrating multiple longevity researches while minimizing the influence of confounding factors. Here, we reprocessed metagenomic sequencing data from four different aging research studies and evaluated potential confounding factors in order to minimize the batch effect. Subsequently, we detected the diversity and abundance of the gut microbiome in three different age cohorts. Out of 1053 different bacteria species, only four showed substantial depletion across different age groups: <i>Ligilactobacillus ruminis</i>, <i>Turicibacter sp. H121</i>, <i>Blautia massiliensis</i>, and <i>Anaerostipes hadrus</i>. Archaea accumulated more in young individuals compared to elderly and centenarians. <i>Candida albicans</i> was more prevalent in centenarians, but <i>Nakaseomyces glabratus</i> (also known as <i>Candida glabrata</i>) was more common in elderly adults. <i>Shuimuvirus IME207</i> showed a significant increase in centenarians compared to both control groups. In addition, we utilized a Fisher’s exact test to investigate topological properties of differentially abundant microbiota in the co-occurrence network of each age group. Microbial signatures specific to different age stages were identified based on the condition: the reads showing differential abundance were higher compared to the other age groups. Lastly, we selected <i>Methanosarcina sp. Kolksee</i> for the Y group, <i>Prevotella copri</i> for the E group and <i>Shuimuvirus IME207</i> for the C group as representatives of age-related characteristics to study how their interactions change during the aging process. Our results provide crucial insights into the gut microbiome’s ecological dynamics in relation to the aging process.
DOI: 10.17632/zk32frw6p5
title: COVID-19 Dataset

description: This a data about the corona virus COVID-19. It contains the actual reported data. Also, it includes the predicted COVID-19 data in the future based on a model developed to predict in the future. The model used will be published in one of the journals later and will be found on my profile with title "Optimistic Prediction Model For the COVID-19 Coronavirus Pandemic based on the Reported Data Analysis". The daily folder contains the daily data. The predicted folder contains the predicted data for each country. The total cases folder contains the total cases for each country. he section folder contains a latex code for plotting the figures for each country. Also the source file from European Centre for Disease Prevention and Control is included. More updated files available in the website of European Centre for Disease Prevention and Control.
DOI: 10.6084/m9.figshare.28532548.v1
title: Full ESM of this study from Integrative Phylogenomics Sheds Light on the Diversity and Evolution of Fluorescence in Coral-Dwelling Gall Crabs

description: Zip file containing all ESM of this study, including Readme file. It is also available on Fig share, link is provided in the manuscript.
DOI: 10.17632/gmf4f2dx9h
title: Data Set for Paper 'Financial Wealth, Capital Allocation and Sentiment in a DSGE Framework'

description: The Excel File and Mat File contain the raw and transformed data that we used in our paper 'Financial Wealth, Capital Allocation and Sentiment in a DSGE Framework.
DOI: 10.17632/vz87cf6rvk
title: THE MITIGATION ACTIONS IN MANAGING THE IMPACTS OF FOREX VOLATILITY ON CONSTRUCTION BUSINESS PERFORMANCE

description: The study offers recommendations for putting mitigation measures in place to lessen the impact of FOREX fluctuations.
DOI: 10.17632/xcgc5kpntm
title: Metabolic Fingerprinting Links Oncogenic PIK3CA with enhanced Arachidonic Acid-Derived Eicosanoids Koundouros et al.

description: Complete Rapid Evaporative Ionization Mass Spectrometry lipid profiles for breast cancer cell lines and tumor PDX samples.
DOI: 10.17632/ym4bb5jxcn
title: Satisfaction with life, health locus of control and self-efficacy in disabled and non-disabled people

description: The interaction between health locus of control (HLOC) and self-efficacy, and the influence of both on life satisfaction in persons with acquired disability in comparison to a non-disabled sample, was explored in this study. Self-efficacy is examined as a mediator between HLOC and life satisfaction, and disability as a moderator of this relationship.
DOI: 10.6084/m9.figshare.28959368.v1
title: Adolescent Road Safety: pedestrian behavior in ADHD and typical development groups

description: This study compared the road-crossing and sidewalk-walking behaviors of adolescents with and without ADHD in virtual road scenarios. Twenty-one participants with ADHD and 21 adolescents with typical development from 11 to 16 years of age, paired for gender and intelligence participated in the study.
DOI: 10.6084/m9.figshare.27926763.v1
title: The raw EEG recordings used for detecting driver fatigue.

description: These are the raw EEG recordings from twenty-six participants collected for driver fatigue detection. To protect personal privacy, each participant is identified by a unique numerical code. The .cnt files, generated using a 40-channel Neuroscan amplifier, contain EEG data recorded under two different states during the driving process.
DOI: 10.17632/37dkygd6sm
title: Figaro-tresses: a dataset for evaluating hair assembly features before and after cosmetic treatment (v2020)

description: The published database is composed of 1,080 images taken from 120 hair tresses made of medium blond, fine Caucasian hair with the aim to facilitate quantitative and qualitative studies about shampoo and conditioner efficacies. Two types of hair tresses were used: Caucasian hair which had not been subjected to oxidation with bleaching agents – virgin (60 tresses); and Caucasian hair, previously subjected to light oxidative bleaching – lightly bleached (remaining 60 tresses). Since cosmetic products such as shampoos and conditioners are often designed to subtly augment hair assembly features via the carefully balanced cumulative effects of deposited actives, each tress was subjected to consecutive washing+conditioning+drying cycles referred to as cosmetic treatment. The shampoo and conditioner used for this project were specifically selected for their suitability for fine hair. Each tress was photographed at three different time points: before the cosmetic treatment; after two cosmetic treatments, and after an additional third cosmetic treatment. At each timepoint, each tress was photographed from three different angles (-45, 0, and +45 degrees), resulting in a total number of nine images for each tress. For each image in the database, we also provide a corresponding hair segmentation mask, which identifies the hair location area in the original image.
DOI: 10.17632/5bwfg4v4cd
title: Pothole Videos

description: Contains a video dataset of road potholes for semantic segmentation purposes. Data is taken from a point of view perpendicular to the road. Contains a total of 619 videos (image, mask) with an aspect ratio of 1:1, 1080x1080 resolution and 48 image frames for each video. The data was divided manually with a ratio of 60/20/20 with 372 for training, 124 for validation, and 123 for test. Ground truth is made manually using Adobe After Effects. The videos in this dataset were captured in Hulu Sungai Tengah Regency, Indonesia.

If you use this dataset, please cite the following paper:
M. Ihsan, M. A. Amrizal, and A. Harjoko, “A pothole video dataset for semantic segmentation,” Data in Brief, vol. 53, 2024.
DOI: 10.17632/5drkk544k8
title: Eggplant Dataset: A Comprehensive Dataset for Agricultural Research and Disease Detection

description: This dataset is a valuable resource for researchers and practitioners in agriculture, machine learning, and computer vision, focusing on classifying diseases that affect eggplant plants. The dataset comprises two main categories: the Original Dataset and the Augmented Dataset. These categories contain images depicting various conditions of eggplant leaves and fruits, encompassing diseases such as Cercospora Leaf Spot, Flea Beetles, Phytophthora Blight, Powdery Mildew, Tobacco Mosaic Virus, among others. By including augmented images generated through techniques like flip, rotation, noise addition, shift, brightness adjustment, and zoom, this dataset supports robust algorithm development and evaluation. Researchers can leverage these datasets to train and validate machine learning models for accurate disease classification and early detection in eggplant plants. The dataset aims to accelerate progress in agricultural technology, crop protection, and sustainable farming practices through innovative applications of computer vision and machine learning.

The dataset initially includes 3,116 original high-resolution images depicting various eggplant diseases, meticulously annotated for precise classification. Additionally, 10,000 augmented images were generated from these originals, expanding the dataset while maintaining an image size suitable for detailed analysis.

Folder Structure:

Augmented Dataset:
Number of datasets: 10,000
Data format: .jpg

Original Dataset:
Number of datasets: 3,116
Data format: .jpg
This comprehensive dataset provides a foundational tool for advancing research in eggplant plant pathology, facilitating the development of AI-driven solutions for disease management and crop enhancement.
DOI: 10.17632/jxwvdwhpc2
title: BreakHis - Breast Cancer Histopathological Database

description: This dataset was created to be used in machine learning tasks for both binary and multiclass classification problems. It consists of 7,909 microscopic images of breast tumor tissue, captured using different magnification factors (40X, 100X, 200X, and 400X). The images in this dataset were resized to 224x224 pixels and organized according to binary and multiclass classification tasks.
DOI: 10.17632/trpd3rb29f
title: Data set for Enhancing river and lake Wastewater Reuse Recommendation in Industrial and Agricultural using AquaMeld Techniques

description: The data contains measurements of the water quality from different monitoring stations, together with information about the locations, states, and station codes. Temperature, dissolved oxygen (D.O. ), pH, and conductivity are important metrics that are assessed because they represent fundamental water properties. In order to indicate the presence of organic matter and possible contamination, it also includes biochemical oxygen demand (B.O.D. ), nitrate and nitrite levels, and bacterial counts for total and fecal coliforms. The dataset, which includes average values and the year of collection, aids in the assessment of water quality over time.
DOI: 10.6084/m9.figshare.13336766.v2
title: Thai version of the questionnaire and open ended questions.docx

description: Factors influencing non-adherence to opioids in cancer patients<br>
DOI: 10.6084/m9.figshare.20473161.v2
title: Sub-lethal Fungicide Concentrations Both Reduce and Stimulate the Growth Rate of Non-target Soil Fungi from A Natural Grassland

description: Results on the effects of sub-lethal concentrations of fungicides on non-target grassland soil fungi. <br> Included in the file are the datasets and R codes used in this project. Also included is the R code used to generate the phylogenetic tree. <br>
DOI: 10.6084/m9.figshare.6022784.v5
title: Conservation of sequence composition at rapidly evolving regulatory regions across mammals

description: We put main results of motifs from the exhaustive search and LASSO approach.
DOI: 10.17632/27m65n9mk7
title: Bioimpedance System

description: In this paper is presented the prototype of a portable and low cost 2D bioimpedance estimation system with eight electrodes, mainly based on the AD5933 high speed impedance converter configured by means of an Arduino Mega 2560 board. These data contain the description of the components used in the design of the bioimpedance prototype and also the data acquisition software, signal-to-noise ratio and image reconstruction to obtain the impedance distribution maps.
DOI: 10.17632/bpd4z53k2r
title: Burkhart et al., iScience, 2022

description: Files corresponding to behavioral data from Burkhart et al., 2022
DOI: 10.17632/t4hs5rdxjm
title: Dataset for Low-Cost LiDAR Scanning Geometric and Volume Analysis of 3D-Printed Concrete-Plastic Elements

description: The dataset includes mesh models of concrete-plastic samples acquired with a low-cost LiDAR scanner and using photogrammetry. The models represent the specimens before and after load tests. Allowing analysis of specimen deformation and evaluation of the measurement accuracy of the low-cost method.
DOI: 10.17632/xc99dz5mdx
title: Effect of Memorial University’s Environment & Support System in Shaping Entrepreneurial Intention of Students
DOI: 10.17632/c5x7ckcfsp
title: 3D-EBSD data and analysis of Ti-6Al-4V fabricated using electron powder bed fusion with a random scan strategy (R3) 

description: This data is a companion to the manuscript '3D Electron backscatter diffraction characterization of fine α titanium microstructures: collection, reconstruction, and analysis methods', by Ryan DeMott, Nima Haghdadi, Charlie Kong, Ziba Gandomkar, Matthew Kenney, Peter Collins, and Sophie Primig, currently submitted to Ultramicroscopy. It includes the raw data and code used for analysis of a slightly truncated version of the 'random' dataset which appears in that manuscript as well as DeMott, R., Haghdadi, N., Gandomkar, Z. et al. 3D characterization of microstructural evolution and variant selection in additively manufactured Ti-6Al-4 V. J Mater Sci 56, 14763–14782 (2021). https://doi.org/10.1007/s10853-021-06216-2 and DeMott, R., Haghdadi, N., Liao, X. et al. Formation and 3D Morphology of Interconnected α Microstructures in Additively Manufactured Ti-6Al-4V.  Acta mater. In Review.

Please cite the above publications and acknowledge the authors if using this data or code in your own work.

The files include the raw EBSD scans as a library of .ctf files, the pipeline for reconstructing and analyzing the data using the DREAM.3D software package, and the code used for performing further analysis of the data with the MTEX toolbox for MATLAB.

DREAM.3D v6.5.138 , MATLAB R2019b, and MTEX v5.1.1 were the software versions used.

RandomCTFFiles.zip contains the library of .ctf files

The DREAM3D pipelines include ImportCTFLibrary.json, which generates an H5EBSD file from the ctf library and FullReconstruction.json, which includes all of the steps described in chapter 4 of the manuscript. A new user may find it easier to split it into several shorter pipelines with outputs at each step.

The MTEX code folder includes all of the MATLAB functions and scripts used for the analyses described in chapter 5 of the manuscript.

AssignBoundaryTypes.m is a function which uses a .dream3d file path and tolerance to classify intervariant boundary types as described in section 5.1
TripleJunctByNodes.m is a script which uses the functions AssignBoundaryTypes.m and TriadPlot.m to classify and plot three-variant clusters in terms of triple junctions as described in section 5.1 (figure 10a)
PlotTriads.m is a script which uses the functions findTriads.m, AssignBoundarTypes.m, and TriadPlot.m to classify and plot three-variant clusters in terms of mutally neighboring grains as described in section 5.2 (figure 10b)
NewAssignVariants.m is a script for assigning grains to variants as described in section 5.3
DOI: 10.6084/m9.figshare.22083959.v6
title: The supplementary material for the article: Half of the greenhouse gas emissions from China's food system occur during food production

description: This supplementary material provides details of the data and tables supporting the results and findings of the relevant article: “Half of the greenhouse gas emissions from China's food system occur during food production”.
DOI: 10.17632/ckdvx3d3zc
title: Spatial decomposed concentrations of NO2 and PM2.5 air pollution in the United States at Census block group level

description: This dataset includes the yearly block group level decomposed concentrations of four spatial components ("long-range", "mid-range", "neighborhood", "near-source") for PM2.5 and NO2, from year-2000 to year-2015. The concentrations are at the census block group level. The unit of concentrations is ug/m3 for PM2.5 and ppb for NO2. Block group is identified by variable "blockgroup_id"; the longitude and latitude of each block group centroid are indicated by "longitude" and "latitude". Names of concentration variables follow the pattern as "COMPONENT_YEAR". "COMPONENT" represents four spatial components; "YEAR" represents the last two digits of year-2000 to year-2015. For example, "long-range_00" represents the "long-range" component concentrations for the year-2000. To use this dateset, please cite the following article: Wang, Y., Bechle, M.J., Kim, S.Y., Adams, P.J., Pandis, S.N., Pope III, C.A., Robinson, A.L., Sheppard, L., Szpiro, A.A. and Marshall, J.D., 2020. Spatial decomposition analysis of NO2 and PM2. 5 air pollution in the United States. Atmospheric Environment, p.117470. DOI: 10.1016/j.atmosenv.2020.117470
DOI: 10.17632/jrtt73npzw
title: Fission fragment decay simulations with the CGMF code

description: The CGMF code implements the Hauser-Feshbach statistical nuclear reaction model to follow the de-excitation of fission fragments by successive emissions of prompt neutrons and γ rays. The Monte Carlo technique is used to facilitate the analysis of complex distributions and correlations among the prompt fission observables. Starting from initial configurations for the fission fragments in mass, charge, kinetic energy, excitation energy, spin, and parity, Y(A,Z,KE,U,J,π), CGMF samples neutron and γ-ray probability distributions at each stage of the decay process, conserving energy, spin and parity. Nuclear structure and reaction input data from the RIPL3 library are used to describe fission fragment properties and decay probabilities. Characteristics of prompt fission neutrons, prompt fission γ rays, and independent fission yields can be studied consistently. Correlations in energy, angle and multiplicity among the emitted neutrons and γ rays can be easily analyzed as a function of the emitting fragments. In its current version, CGMF is limited to certain spontaneous fission reactions on Pu and Cf isotopes, as well as neutron-induced fission reactions up to 20 MeV on U, Np, and Pu isotopes.
DOI: 10.17632/6h6gv38xy8
title: Data for: Effects of h-BN particles on the structure, oxidation behaviour, and kinetics of C/C composites fabricated via CVI

description: The isothermal oxidation data of C/C and C/C-BN composites is shown in the document at 600-900℃
DOI: 10.17632/796dy6424z
title: JIE_DCP_USD

description: This is the replication file for the paper "Dominant-currency pricing and the global output spillovers from US dollar appreciation" by G. Georgiadis and B. Schumann
DOI: 10.17632/c2z95m5gty
title: Dataset for "Resource Booms and Group Punishment in a Coupled Social-Ecological System"

description: The dataset comes from a laboratory economics experiment on resource booms and group punishment in a coupled social-ecological system. It contains 3,060 observations from 8 sessions with exactly 20 individuals per session. The data contains 33 variables, including individual decisions per round during the experiment as well as socio-demographic information. 

Related Publication:
---------------------
Title: "Resource Booms and Group Punishment in a Coupled Social-Ecological System"
Authors: Anna Lou Abatayo and John Lynham
Journal: Ecological Economics

Coverage:
---------
Spatial coverage:
The data was obtained in laboratory experiments at campus of the University of Hawai'i at Manoa.


This dataset contains the following files:
- 1 Stata DTA file
- 1 Codebook TXT file
- 5 Stata do-files
DOI: 10.17632/sjydzn49nw
title: PH-NODE: A DFPT and finite displacement supercell based python code for searching nodes in topological phononic materials

description: Exploring the topological physics of phonons is fundamentally important for understanding various practical applications. Here, we present a density-functional perturbation theory and finite displacement supercell based Python 3 software package called PH-NODE for efficiently computing phonon nodes present in real material through a first-principles approach. The present version of the code is interfaced with the WIEN2k, Elk, and ABINIT packages. In order to benchmark the code, six different types of materials are considered, which include (i) FeSi, a well-known double-Weyl point; (ii) LiCaAs, a half-Heusler single-type-I Weyl topological phonon (TP); and (iii) ScZn, coexisting nodal-line and nodal-ring TPs; (iv) TiS, six pairs of bulk Weyl nodes; (v) CdTe, type-II Weyl phonons; (vi) CsTe, coexisting TP and quadratic contact TP. In FeSi, the node points are found at Γ(0, 0, 0) and R(0.5, 0.5, 0.5) high symmetric points. Also, there are 21 energy values at which the node points are situated, corresponding to the full Brillouin zone. For LiCaAs, the previously reported literature claims that there is a node point along the W-X high symmetry direction between the highest longitudinal acoustic and the lowest transverse optical branch, while in our DFT calculations, a gap of 0.17 meV is found. Furthermore, ScZn hosts six nodal-ring TPs phonons at the boundary planes of the Brillouin zone in the vicinity of the M high-symmetric point. In addition to this, straight-line TPs are also found along the Γ-X and Γ-R high symmetric directions. Moreover, for TiS, six Weyl node points (WP1, WP2, WP3, WP4, WP5 and WP6) are found along H-K high-symmetric direction. In CdTe, it is found that Weyl points are located along the X-W high-symmetry direction. In the case of CsTe, a TP and a quadratic contact TP are found along the Γ-X direction and at the R high-symmetry point, respectively. The results obtained from the PH-NODE code are in good agreement with the experimentally and theoretically reported data for each material.