cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fvgswvt5ws.3
title: Database of hyperspectral images of phosphorus in soil.

description: The database is made up of the images associated with the hyperspectral cube of each sample, and four tables: the first describes the properties of the soil used to obtain the mixtures, the second the composition of the fertilizer used, the third describes the soil-fertilizer ratio to make up the samples, and the fourth was the laboratory analysis of the total phosphorus content of the analyzed samples.
Hyperspectral images can be used to quantify the concentration of total phosphorus in soil samples. 152 soil samples were prepared, and a hyperspectral cube made up of 145 images in the VIS-NIR bands, between 420 and 1000 nm, was obtained from each of them. The images obtained were taken with the Bayspec OCIF Series hyperspectral camera, in push-broom function, using a platform that includes an illumination system that offers a continuous spectrum in the range of interest. The samples were prepared with a soil from the Santander de Quilichao region, Cauca, Colombia, and mixed with known concentrations of P2O5 fertilizer, so that a total mass of 50 g was obtained. Each sample was deposited in a round black plastic container, 6 cm in diameter and a depth of 1 cm. The soil samples were analyzed in the laboratory to establish the concentration of total phosphorus.
DOI: 10.17632/3xdpk76v8b.1
title: Supplementary Material - Regression trees to identify combinations of farming practices that afford the best overall intrinsic quality of milk

description: Supplementary file S1 Adaptations made on the assessments from Rey-Cadilhac et al. (2021)
Supplementary file S2 Correlation between dimension scores and both overall quality and indicator scores of the UHT milk assessment.
Table S1 Milking machine routine score calculation
Table S2 Teat cleaning routine score calculation
Table S3: Definition of the modalities of the variable Complexity of the milking equipment pipeline
Table S4 Description of modalities of the variable Diet_forage
Table S5 Description of the indicators at the base of the sensory, technological, health and nutrional dimensions of the cheese assessment 
Table S6 Correlation coefficients between quantitative farming practices variables
Table S7 Correlation ratios between quantitative and qualitative farming practices variables
Table S8 Cramer's V coefficients between qualitative farming practices variables
Figure S1 Variable importance plots obtained from random forest analysis for construction of overall cheese quality (A), and cheese sensory (B), technological (C), health (D) and nutritional (E) dimensions regression trees
Figure S2 Variable importance plots obtained from random forest analysis for construction of overall UHT milk quality (A), and UHT milk sensory (B), technological (C), health (D) and nutritional (E) dimension regression trees
Figure S3 Regression trees explaining UHT milk sensory, technological, health and nutritional dimensions from farming practices.
DOI: 10.17632/p77tsyrbx2.4
title: Abaqus Code for a Residual Control Staggered Solution Scheme for the Phase-Field Modeling of Brittle and Ductile Fracture

description: Abaqus UEL and UMAT subroutines for the phase-field modelling of brittle and ductile fracture. The code consists of the 3-layered system including the user elements and user material subroutine producing a staggered algorithm with a residual norm-based stopping criterion. The finite element formulations include 4-node full integration 2D and 8-node full integration 3D linear elements. The source code and input files for the examples published in the associated journal paper as well as the PhD thesis are provided here. The files contain detailed explanations and instructions for users. This is an updated version of the dataset! Ductile material behavior has been included with 2 different phase-field formulations, more examples with better explanations, python scripts etc. For simplicity, the brittle examples are included with elastic material model only. In future versions, complete generalization of the model will be provided. See more info in Version_4-ChangeLog.txt! For additional information, suggestions, comments or collaboration, please contact me at karlo.seles@fsb.hr! To be added in the next versions: - Tetrahedral finite element formulation - Python script for the input file generation - Fatigue material behavior model with cyclically loaded examples - Completely generalized model presented in the author's PhD thesis: -- Brittle, ductile and fatigue behavior in one model -- Microstructural geometry example with contact problems - Finite strain theory - Complete thread-parallel computation for increased efficiency
DOI: 10.17632/v9hhs66vm3.1
title: LEGO secondary market price data

description: The dataset covers secondary market prices of 2,322 LEGO sets in 2015, which represent the averages of 30 most recent completed transactions on eBay, provided by brickpicker.com. There are two prices of each set depending on its condition: ‘new’ and ‘used’. We also report each set’s id, name, theme, year of release, the original primary market price, size and the number of minifigures. These data were collected from Maciorowski and Maciorowski (2015), where the original source of data is brickpicker.com, which, in turn, takes the data from eBay. Additionally, we provide monthly secondary market price data for a sub-sample of 223 sets from 8 most popular for collectors themes for the more recent period from December 2015 until April 2019. We also provide monthly price data for 2,322 sets for a shorter period, January 2018 – April 2019. These data were parsed from brickpicker.com directly and are not available there now. The data can be used for a time-series and cross-sectional analysis of LEGO returns on the secondary market. Finally, we provide LEGO chain and hedonic yearly return indices for 1987-2015, estimated in Dobrynskaya and Kishilova (2022).
DOI: 10.17632/7tsw22y96w.1
title: Static gestures of Indian Sign Language (ISL) for English Alphabet, Hindi Vowels and Numerals 

description: This dataset consists of static hand gestures and lips movement for each character in the English alphabet, eight Hindi Vowels and ten Numerals as represented in Indian sign language (ISL). The dataset consists of 1,02,470 images of subjects from different age groups presenting static gestures under varied backgrounds and illumination conditions. The dataset is structured into three folders namely Kids, Teenagers and Adults. Each folder consists of sub-folders namely Full Sleeves and Half Sleeves indicating the type of clothing that the subject has worn at the time of image acquisition. In each sub-folders, images for the English alphabet, Hindi Vowels and Numerals are stored respectively in the sub-folders named with that specific character. However, for the English alphabet 'E' and Numeral '9' we have captured two different signs for each (that are used interchangeably), and it is contained in the folder namely E1 and E2 for alphabet 'E' and 9a and 9b for Numeral '9'. For the English alphabet, wherever a character is represented by a dynamic sign, the last frame of the sign is captured. For example, this is typically a case with English characters like 'J', 'H' and 'Y'. The images are stored in .jpeg format and have resolutions varying from 300 x 500 to 800 x 600, and the size is less than 100KB. The dataset is captured by a team pursuing research at Chandigarh College of Engineering and Technology, Chandigarh. The subjects have been informed about the research and Informed Participant Consent has been obtained prior to image acquisition. This dataset can be used only for research purposes either as it is or after cropping the static gestures from the image after duly referencing it. Any other use of the dataset is strictly prohibited and any illegal use is subject to the Indian court of law.
DOI: 10.17632/gxgg933ny3.1
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/nskggn8kw7.1
title: Base de dados: sugestões de alterações nas dimensões da quadra, altura da cesta e nas características da bola de basquete para a categoria sub-12

description: Os dados apresentados dizem respeito a sugestões para modificar as características do jogo de basquete voltado para a categoria Sub 12, ou seja, crianças com idades entre 11 e 12 anos. Especificamente, através do Modelo de Potência/Alometria, foram recomendadas alterações nas dimensões da quadra, na altura da cesta, na circunferência e no peso da bola. Dessa forma, o objetivo é ajustar o jogo de basquete às particularidades fisiológicas das crianças, evitando a reprodução dos elementos que caracterizam os jogos de adultos nesta categoria. Por fim, o resultado do estudo compara as medidas oficiais, as recomendações do Minibasquete e os achados obtidos nesta pesquisa.
DOI: 10.17632/5vwfvyyx9j.1
title: Guideline to teach how to use Social Media in our classes.

description: Social Media in the classroom can be an effective way to engage students and enhance learning.
DOI: 10.17632/jbs44b2hrk.2
title: Data for: Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-data sources

description: This dataset provides 1km-grid crop harvesting area dataset for three main crops (i.e., rice, wheat, and maize) of China from 2000 to 2015. *** The data file is in “.tif" format *** Spatial extent: mainland China *** Temporal Resolution: Yearly *** Pixel size: 1000 m *** Projection information: Asia North Albers Equal Area Conic *** Filename convention: CHN_CropType_Year.tif *** CropType: includes Maize, Wheat, Rice. *** Year: Values from 2000 to 2015
DOI: 10.17632/6476jznmtj.1
title: Replication for Ducruet, Juhasz, Nagy and Steinwender "All aboard: The effects of port development"

description: This is the replication package for Ducruet, César, Réka Juhász, Dávid Krisztián Nagy, and Claudia Steinwender "All aborard: The effects of port development".
DOI: 10.17632/z27d252sr9.1
title: Data for: Efficacy of Polyglactin 910 Coated with Triclosan (Vicryl Plus) Compared with Polyglactin 910 (Vicryl) Suture for Prevention of Surgical Site Infection following Dental Implant Surgery: A Single-Blind Randomized Clinical Trial

description: Raw data was added
DOI: 10.17632/cy34mh68j9.5
title: Mexican Emotional Speech Database (MESD)

description: The Mexican Emotional Speech Database (MESD) provides single-word utterances for anger, disgust, fear, happiness, neutral, and sadness affective prosodies with Mexican cultural shaping. The MESD has been uttered by both adult and child non-professional actors: 3 female, 2 male, and 6 child voices are available (female mean age ± SD = 23.33 ± 1.53, male mean age ± SD = 24 ± 1.41, and children mean age ± SD = 9.83 ± 1.17). Words for emotional and neutral utterances come from two corpora: (corpus A) composed of nouns and adjectives that are repeated across emotional prosodies and types of voice (female, male, child), and (corpus B) which consists of words controlled for age-of-acquisition, frequency of use, familiarity, concreteness, valence, arousal, and discrete emotion dimensionality ratings. 

The audio recordings took place in a professional studio with the following materials: (1) a Sennheiser e835 microphone with a flat frequency response (100 Hz to 10 kHz), (2) a Focusrite Scarlett 2i4 audio interface connected to the microphone with an XLR cable and to the computer, and (3) the digital audio workstation REAPER (Rapid Environment for Audio Production, Engineering, and Recording). Audio files were stored as a sequence of 24-bit with a sample rate of 48000Hz. The amplitude of acoustic waveforms was rescaled between -1 and 1. 

Two speaker-embedded naturalness-reduced versions were created out of human emotional utterances for female voices from corpus B. Specifically, naturalness was progressively reduced from human voices to level 1 to level 2. In particular, duration and median pitch were edited on stressed syllables to reduce the difference between stressed and unstressed syllables. On whole utterances, F2/F1 and F3/F1 ratios were lowered by editing F2 and F3 frequencies. Intensity of harmonics 1 and 4 were also reduced. 

24 utterances per emotion are available for each type of voice, corpus, and level of naturalness. They are shared as audio files in WAV format. Please see README for audio files nomenclature explanation.  

The MESD seems to be the first set of single-word emotional utterances that includes both adult and child voices for the Mexican population. Additionally, the MESD provides naturalness-reduced versions of emotional utterances. 

Citation
M. M. Duville, L. M. Alonso-Valerdi, and D. Ibarra-Zarate, “The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, p. 4, 2021.

Duville, M.M.; Alonso-Valerdi, L.M.; Ibarra-Zarate, D.I. Mexican Emotional Speech Database Based on Semantic, Frequency, Familiarity, Concreteness, and Cultural Shaping of Affective Prosody. Data 2021, 6, 130. https://doi.org/10.3390/data6120130
DOI: 10.17632/2fscg3m53d.1
title: Area of flat roofs and greenspaces potentially suitable for urban horticulture

description: Flat roof dataset - This data is from an analysis of flat roofs present within the inner ring road of Sheffield potentially suitable for urban horticulture. This is the result of a GIS based analyses of OS mastermap data combined with Google Earth Imagery. Potential UH greenspace dataset - This data is from an analsysis of greenspaces within Sheffield that are potentially suitable for urban horticulture. This analyses used spatial restriction criteria detailed in https://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12655?campaign=wolearlyview This was a GIS analysis using Ordnance Survey MasterMap Greenspace layer.
DOI: 10.17632/vhcnrv3k8s.3
title: Questionnaire 

description: This dataset presents a cross-sectional survey and was conducted to assess the data of Postnatal mothers practicing Traditional Postnatal Care (TPC) in Kota Kinabalu Health Centers. The data were collected from November 2021 to February 2022, 178 Postnatal mothers came to Kota Kinabalu Health Centers have completed the distributed questionnaires. SPSS version 28.0 was used to analysed the data. These data could serve as auxiliary information and/or research data for other researchers in Sabah. It could also serve as guide or reference data to other researchers outside Sabah who may be interested in carrying out similar research in other state.
DOI: 10.17632/68wsz6d8g7.1
title: Data for: Geographical proximity to refugee reception centres and voting

description: The zip file includes the following data: 1. File "all_municipalities_refugee_centre.dta" that includes all the municipality and if the host a refugee centre. 2. File "referendum2016.dta" that includes the municipality for which we have been able to link all the dataset containing the necessary controls. 3. File "general_elections.dta" includes information about general national elections in 2001, 2006, 2008, 2013 and 2018 The dofile named "tables_referendum.do" replicates the following tables: Table 2 Panel A, B, C Table 3 Panel A, B, C Table 4 Panel B Table 5 Panel A, B, C Table OA5 Table OA6 Table OA7 Table OA8 Panel A, B Table OA9 Panel A, B Table OA10 Panel A, B Table OA11 Table OA12 Table OA13 Table OA14 Table OA15 The dofile named "tables_general_elections.do" replicates the following tables: Table 4 Panel A Table 5 Panel A, B, C Table 6 Panel A, B Table 7 Table OA3 The RScript named tableOA4.R replicates Table OA4 The dofile named "figures.do" replicates the following figures: Figure 1 Figure 3 Figure 4 Figure 5 Figure 6 Figure OA2
DOI: 10.17632/bbtjj8kd74.1
title: JaSTA-2: Second version of the Java Superposition T-matrix Application

description: In this article, we announce the development of a new version of the Java Superposition T-matrix App (JaSTA-2), to study the light scattering properties of porous aggregate particles. It has been developed using Netbeans 7.1.2, which is a java integrated development environment (IDE). The JaSTA uses double precision superposition codes for multi-sphere clusters in random orientation, developed by Mackowski and Mischenko (1996). The new version consists of two options as part of the input parameters: (i) single wavelength and (ii) multiple wavelengths. The first option (which retains the applicability of older version of JaSTA) calculates the light scattering properties of aggregates of spheres for a single wavelength at a given instant of time whereas the second option can execute the code for a multiple numbers of wavelengths in a single run. JaSTA-2 provides convenient and quicker data analysis which can be used in diverse fields like Planetary Science, Atmospheric Physics, Nanoscience, etc. This version of the software is developed for Linux platform only, and it can be operated over all the cores of a processor using the multi-threading option. The previous version of this program (AETB_v1_0) may be found at http://dx.doi.org/10.1016/j.cpc.2014.04.019.
DOI: 10.17632/cymrs4s7kj.1
title: Data for: Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species
DOI: 10.17632/6txr3j938y.1
title: Assessment of Channel Migration of Koshi River in Nepal Using Remote Sensing and GIS

description: Datsets of the research Assessment of Channel Migration of Koshi River in Nepal Using Remote Sensing and GIS. This data sets contains the data table and shape files generated out of the study.
DOI: 10.17632/r9tmt6c376
title: Northern Ireland Election Results in 2024: Sinn Féin's Triumph and DUP's Defeat

description: Sinn Féin became Northern Ireland's largest party in Westminster. Voters in Northern Ireland turned against the Democratic Unionist Party in a shock result. They made Sinn Féin the largest party in Northern Ireland. This article analyzes the Northern Ireland election results in 2024 and the political outlook of Northern Ireland after this election.
DOI: 10.17632/hzpwbp7j22.1
title: Panel dataset on Brazilian fuel demand

description: Summary :
Fuel demand is shown to be influenced by fuel prices, people's income and motorization rates. We explore the effects of electric vehicle's rates in gasoline demand using this panel dataset.

Files :
dataset.csv - Panel dimensions are the Brazilian state ( i ) and year ( t ). The other columns are: gasoline sales per capita (ln_Sg_pc), prices of gasoline (ln_Pg) and ethanol (ln_Pe) and their lags, motorization rates of combustion vehicles (ln_Mi_c) and electric vehicles (ln_Mi_e) and GDP per capita (ln_gdp_pc). All variables are all under the natural log function, since we use this to calculate demand elasticities in a regression model.

adjacency.csv - The adjacency matrix used in interaction with electric vehicles' motorization rates to calculate spatial effects. At first, it follows a binary adjacency formula: for each pair of states i and j, the cell (i, j) is 0 if the states are not adjacent and 1 if they are. Then, each row is normalized to have sum equal to one.

regression.do - Series of Stata commands used to estimate the regression models of our study. dataset.csv must be imported to work, see comment section.

dataset_predictions.xlsx - Based on the estimations from Stata, we use this excel file to make average predictions by year and by state. Also, by including years beyond the last panel sample, we also forecast the model into the future and evaluate the effects of different policies that influence gasoline prices (taxation) and EV motorization rates (electrification). This file is primarily used to create images, but can be used to further understand how the forecasting scenarios are set up.

Sources:
Fuel prices and sales: ANP (https://www.gov.br/anp/en/access-information/what-is-anp/what-is-anp)
State population, GDP and vehicle fleet: IBGE (https://www.ibge.gov.br/en/home-eng.html?lang=en-GB)
State EV fleet: Anfavea (https://anfavea.com.br/en/site/anuarios/)
DOI: 10.17632/fj4krvmrr5.1
title: MIXED PCB DEFECT DATASET

description: This dataset contains images focusing on printed circuit boards (PCBs) and their defects. To maintain uniformity, the images are resized to a standard 640 x 640 pixels. To increase the dataset's realism and relevance for real-time sensor applications, intentional augmentation was applied, adding extra defects to simulate real-world scenarios in PCB manufacturing. Various augmentation techniques were used to diversify the dataset, ensuring better algorithm performance during training and evaluation. The dataset features annotations that precisely label the induced defects, such as missing holes, mouse bites, open circuits, shorts, spurs, and spurious copper issues. With its precise annotations and intentional augmentation, this dataset is a valuable resource for advancing research in real-time PCB defect detection and classification.
DOI: 10.17632/ndy5r67zxz.1
title: Data for: Real-time Analysis and Regulation of EPB Shield Steering Using Random Forest Approach

description: The database includes the data used in this paper.
DOI: 10.17632/jtf9d9dyt3.3
title: The dataset of an international survey on COVID-19 response in facilities management in 2020

description: This dataset was established from an online questionnaire-based survey to identify effective control and mitigation measures to prevent the transmission of COVID-19 in the built environment. The survey was conducted from 8 April to 25 July 2020.
DOI: 10.17632/f3b489kzcw.1
title: Data for: A Novel and Practical Framework for Incorporating Nanopores in Existing Compositional Simulators to Model the Unusually High GOR Observed in Shale Reservoirs

description: Tables of all the data used in the reservoir simulation studies presented in the manuscript.
DOI: 10.17632/p3txdrdth7.1
title: DISMA_Research Dataset (High-entropy alloys)

description: The DISMA research dataset includes the training dataset for ML model and ML prediction results. The dataset describe the mechanical properties and structures of high entropy alloys.