cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/26vfwhx7c2
title: Materials and Auralizations of a XII-Century Rotunda's Acoustic FDTD Simulation

description: The present repository provides the necessary data to perform the acoustic simulation of an XII-Century Rotunda in Bologna.  Rotundas are circular domed architectures, utilized in the past by monks for private praying and chanting.  This particular use is closely related to the acoustic peculiarities of the space, that provide intimacy and, at the same time, enough reverberance for vocal support.  
Folders contain the 3D model, the main results of acoustic measurements, the boundary conditions for FDTD code,  the simulated impulse responses, and the auralizations of a Gregorian chant.  Since it is plausible that the acoustic characteristics of the Rotunda were the reasons for its preservation over time, the acoustic simulations are here used as a study tool to enhance historical research, to comprehend the architectural evolution, and to preserve the intangible cultural heritage of the place.  
The multi-track anechoic recordings employed in the auralizations are available in a repository doi:10.17632/mjn6fvxfxb.
DOI: 10.17632/dpyx5g77gy
title: Indian Premier League - Brand value

description: This Python script visualizes data related to the brand value of the Indian Premier League (IPL), its constituent teams, and a comparison with other major football leagues. It uses matplotlib for creating the plots and numpy for numerical operations. The script generates four key visualizations:

IPL Brand Value Over Time: A line plot illustrating the growth of the IPL's brand value in billion dollars from 2009 to 2024. This chart shows the increasing financial strength and popularity of the league over the years.

Top 10 IPL Team Brand Values (2024): A bar chart displaying the brand values (in million dollars) of the top 10 IPL teams in 2024. This visualization allows for a comparison of the brand strength of different teams within the league. The numerical value of each bar is displayed on top of the bar.

Growth Rate of IPL Team Brand Values (2024): Another bar chart presenting the growth rates (in percentage) of the top 10 IPL teams' brand values in 2024. This plot highlights the teams with the highest growth potential and increasing popularity. The growth rate in percentage is displayed on top of the bar.

Comparison of IPL and Football League Brand Values: A bar chart comparing the brand values (in billion dollars) of the IPL (top 5 teams), Bundesliga, and English Premier League (EPL). This visualization contextualizes the IPL's financial strength in comparison to other prominent sports leagues worldwide.
DOI: 10.17632/wynyf35xf3
title: A low-cost and open-source protocol to produce key  enzymes for molecular detection assays. Mendoza-Rojas et al. (2021)

description: Here, we describe a detailed step-by-step protocol for the expression, purification, quantification, and      activity determination of key enzymes for molecular detection of pathogens. Based on previous reports, we optimized the protocol for LbCas12a, Taq DNA polymerase, M-MLV reverse transcriptase, and TEV protease to make it compatible with minimal laboratory equipment, broadly available in low- and middle-income countries. The enzymes produced with this protocol have been successfully used for molecular detection applications. 
For complete details on the use of this protocol, please refer to Alcantara et al. (2021).
DOI: 10.6084/m9.figshare.25998376.v1
title: River red gum hollow-bearing tree data - by tree

description: Data used in publication "<i>Tree hollow decline in new forest reserves with a long history of logging"</i>. Data were collected in river red gum forests in Murray Valley National Park, Australia, between 2015 and 2016. Data were collected from 22 sites, which were equally replicated among two long-term water availability classes (Site Quality, SQ1 higher long term flood frequency and taller trees than and SQ2). Each site consisted of three plots that were 2 hectares in size. Data include all trees containing at least one hollow with a minimum entrance size of 5 centimetres within a 2 hectare survey area. The diameter at breast height (dbh) was recorded, along with the number of visible hollows in each of three size classes (entrance size 5-10 cm, holl_5to10; entrance size 10-15 cm, holl_10to15; and entrance size greater than 15 cm, joll_15plus). Data also include whether the hollow-bearing tree was live or dead, and whether or not it had visible signs of ringbarking.
DOI: 10.17632/7jnyjdbvf9
title: CRM: Common Research Model

description: These files contain the baseline and optimized geometries and grid files of NASA's Common Research Model (CRM) for the AIAA Aerodynamic Design Optimization Discussion Group's (ADODG) wing optimization benchmark (case 4). Details about the models and methods used can be found in reference [1]. The flight conditions are: Mach number = 0.85 Reynolds number = 5.0 million The baseline zip file includes the baseline CRM geometry in the following formats: - IGS - CGNS, multiblock-structured, 28M grid - CGNS, multiblock-structured, 3M grid - CGNS, singleblock-unstructured, 3M grid - CGNS, multiblock-structured, 450k grid - CGNS, singleblock-unstructured, 450k grid The optimized zip file includes the optimized geometry in the following formats: - PLOT3D, 28.8M grid - CGNS, multiblock-structured, 28M grid - CGNS, multiblock-structured, 3M grid References: 1. Lyu Z, Kenway GKW, Martins JRRA. Aerodynamic Shape Optimization Investigations of the Common Research Model Wing Benchmark. AIAA Journal. 2015 ;53(4):968–985.
DOI: 10.6084/m9.figshare.17253821.v1
title: Small gene fusion simulated long read dataset

description: Sub-sampled long read simulation dataset. <br>
DOI: 10.17632/f78bmhr628
title: Temperature characterization of an high sensitivity tri-axial accelerometer through multiple thermometers

description: Temperature fluctuations significantly affect the precision of high sensitive accelerometers and gravimeters. This dataset comprises acceleration measurements obtained from a high-accuracy accelerometer, with background noise levels as low as 10^-7 m/s^2/sqrt(Hz). Additionally, it includes data from 11 thermometers strategically placed both inside the accelerometer casing and on its sensitive components. Analyzing these data, can clearly show how important is to measure the temperature in multiple points for effectively compensating for its effects over the acceleration measurements. 
Throughout the measurements, the accelerometer remained stationary on the laboratory floor, primarily detecting micro-seismic noise which could, to a first approximation, be disregarded. However, the accelerometer's output was not constant due to temperature variations, which were deliberately induced using heating mats affixed to the accelerometer's enclosure and a 260-watt lamp. Using these devices, we could create varying temperature fields and gradients.
Assuming that the accelerometer's output is solely influenced by the temperature variations, it can be predicted using only the thermometer measurements. In other words, the errors introduced by temperature can be reconstructed using the thermometer readings.
To reconstruct the effects of temperature on the accelerometer readings, supervised machine learning (ML) methods can be employed, with the accelerometer output serving as the desired output and the temperatures as the inputs.
The dataset is divided into two parts: one comprises data obtained solely by employing heating mats to manipulate the temperature, while the other (with the filename "resampled_2023-03-25_2023-04-14.csv") consists of data obtained exclusively through the use of the heating lamp. Consequently, one subset can be used for training, and the other for testing, clearly demonstrating the ML model's ability to generalize across different scenarios.
Each record in the dataset includes the following information: date ("Date"); accelerometer outputs ("z [m/s^2]", "x [m/s^2]", "y [m/s^2]"), with the z-axis predominantly aligned with the local vertical; temperatures of the accelerometer sensors ("T z [°C]", "T x [°C]", "T y [°C]"), measured by thermometers attached to the accelerometer's sensitive elements; temperatures of the six faces of the accelerometer box ("bottom x1 side [°C]", "x sensor face [°C]", "y sensor face [°C]", "bottom x2 side [°C]", "x elect face [°C]", "y ACQ face [°C]", "top [°C]"), where the bottom face features two thermometers; temperature of the air inside the box ("inside air [°C]"); external temperature ("external [°C]"); and altitude ("Altitude [m]"), measured by a barometer and thus reflecting variations in pressure.
The data from the accelerometers and the thermometers were synchronized between each other and then resampled at 1 Hz. No filtering was applied and missing data are due to technical stops.
DOI: 10.17632/jc3rwftjnf
title: the Korea National Health and Nutrition Examination Survey (KNHANES) 2007-2016

description: The Korea National Health and Nutrition Examination Survey (KNHANES) is a national surveillance system that has been assessing the health and nutritional status of Koreans since 1998. Based on the National Health Promotion Act, the surveys have been conducted by the Korea Centers for Disease Control and Prevention (KCDC). This nationally representative cross-sectional survey includes approximately 10 000 individuals each year as a survey sample and collects information on socioeconomic status, health-related behaviours, quality of life, healthcare utilization, anthropometric measures, biochemical and clinical profiles for non-communicable diseases and dietary intakes with three component surveys: health interview, health examination and nutrition survey. The health interview and health examination are conducted by trained staff members, including physicians, medical technicians and health interviewers, at a mobile examination centre, and dieticians’ visits to the homes of the study participants are followed up. KNHANES provides statistics for health-related policies in Korea, which also serve as the research infrastructure for studies on risk factors and diseases by supporting over 500 publications. KCDC has also supported researchers in Korea by providing annual workshops for data users. KCDC has published the Korea Health Statistics each year, and microdata are publicly available through the KNHANES website (http://knhanes.cdc.go.kr).
DOI: 10.6084/m9.figshare.23906118.v8
title: Data and R codes for global plant diversity effects

description: Data and R codes for global biodiversity effectsThe species-level data (Data_IND_All_240506.csv) is the "start" data to generate all other datasets, i.e., the mixture-level data for different subsets (the "complete" data, data with leaf N, data with SLA, data for field observations) and the ones without outliers. The data preparation code (R_Data prepare_240526.R) shows this process.Other R code files show the analyses separately for each figure and table.
DOI: 10.17632/xfw4hzpygg
title: Comparative Analyses of Hidradenitis Suppurativa Surgical Methods: A Systematic Review and Meta-Analysis

description: Supplemental material for "Comparative Analyses of Hidradenitis Suppurativa Surgical Methods: A Systematic Review and Meta-Analysis".
DOI: 10.17632/w9p86fndr7
title: Neural Correlates of Autobiographical Memory Retrieval: An SDM Neuroimaging Meta-Analysis 

description: SDM Text Files: includes all text files with extracted coordinates from each paper (formatted for SDM) and the SDM table text file.
SDM Output: includes all relevant .nii files from the analyses (names include relevant figure in the paper, see figure descriptions in the paper for additional information about each analysis). All thresholded at p<0.05 and used TFCE.
DOI: 10.6084/m9.figshare.10247555.v1
title: Graphs - polybench

description: Graphs generated with the polybench package.<br>
DOI: 10.17632/xb728xftgv
title: Marlics: A finite difference liquid crystal simulation package

description: In this paper we present Marlics (Maringá Liquid Crystal Simulator), a software written in C++ to obtain either the system dynamics, by using the Runge-Kutta method, or the minimum energy states with the Fast Inertial Relaxation Engine (FIRE) for both achiral and chiral nematic liquid crystals. The system solved by Marlics consists in the dynamical evolution for the Q-tensor in the Landau-de Gennes formalism for different geometries, including confined slab cells and spherical, liquid crystal droplets. Furthermore, the code accepts custom geometries, so the user may provide a particular geometry of interest to run simulations. The program takes as input a descriptive file giving the simulations parameters and initial conditions, generating a series of different snapshots distributed in time according to the users' needs. Several initial conditions are provided to help the user starting simulations direct to different goals. The code is organized in class modules, which can be modified by the user base to attend their further needs.
DOI: 10.17632/k7j4982sp2
title: Instrumentino: An open-source modular Python framework for controlling Arduino based experimental instruments

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Instrumentino is an open-source modular graphical user interface framework for controlling Arduino based experimental instruments. It expands the control capability of Arduino by allowing instruments builders to easily create a custom user interface program running on an attached personal computer. It enables the definition of operation sequences and their automated running without user intervention. Acquired experimental data and a usage log are automatically saved on the computer for furthe... Title of program: Instrumentino, Controlino Catalogue Id: AETJ_v1_0 Nature of problem Control and monitor purpose-made experimental instruments Versions of this program held in the CPC repository in Mendeley Data AETJ_v1_0; Instrumentino, Controlino; 10.1016/j.cpc.2014.06.007
DOI: 10.17632/vdvxptxyfj
title: California Clean Vehicle Rebate Project Application and Consumer Survey Data: Data used in a 2020 analysis of "EV Converts"

description: These data are from a survey of participants in the California's Clean Vehicle Rebate Project, a statewide consumer cash rebate for the purchase or lease of a qualifying clean vehicle. The survey data were used in an analysis of "EV Converts" or rebate recipients who had little or no knowledge or interest in an EV at the start of their new car search. The abstract for that work follows here: To expand markets for plug-in electric vehicles (EVs) beyond enthusiastic early adopters, investments must be strategic. This research characterizes a segment of EV adoption that points the way toward the mainstream: EV consumers with low or no initial interest in EVs, or “EV Converts.” Logistic regression is utilized to profile EV Convert demographic, household, and regional characteristics; vehicle-transaction details; and purchase motivations—based on 2016–2017 survey data characterizing 5,447 rebated California EV consumers. Explanatory factors are rank-ordered—separately for battery EVs (BEVs) and plug-in hybrid EVs (PHEVs), to inform targeted outreach and incentive design. EV Converts tend to have relatively “lower” values on factors that might have otherwise “pre-converted” them to EV interest: hours researching EVs online; motivation from environmental impacts and carpool-lane access; and solar ownership. PHEV Converts more closely resemble new-car buyers, but BEV Converts “go beyond” mainstream markets on two measures: they are younger and less-frequently white/Caucasian than new-car buyers. BEV Converts also tend to: lack workplace charging, be moderately motivated by energy independence, and reside in Southern California or the Central Valley. Predictors that not only help target, but also help convert, consumers include rebates for BEV consumers and, modestly, fuel-cost savings for PHEV consumers. Version 2: corrected a typo in the title and description on Mendeley Data page and in the 2020-10_CVRP-Data-EV-Converts.xlsx file (now 2020-10_CVRP-Data-EV-Converts_v2.xlsx).
DOI: 10.17632/bs38nphddj
title: Statistical analysis of synonymous and stop codons in pseudo-random and real sequences as a function of GC content

description: This repository contains all data, figures and scripts created and used in this publication.
DOI: 10.17632/p4mz2w36zg
title: Test

description: The study deals with the relationship between personality and emotions in situations of decision making uncertainty. It was part of an academic research with two goals: - Psychological study: The study deals with the relationship between personality and emotions in situations of decision making uncertainty - Software engineering study: The study deals with a new data classification algorithm for generating a set of effective models We expect to identify how people with diverse personalities express different emotion-action relationships. As a key component, personality traits are expected to clarify and improve the understanding of the scale of emotions and their influence in situations of decision-making under uncertainty. We found that, the effect of the relationship between emotions and decisions differs for people of different genders and different degrees of locus of control. The novelty of this approach is that we do not aim to predict decisions or emotional uprisals during paradoxical situations or in times of uncertainty. Instead, we identified the complex patterns underlying such decision-making. We differentiated the patterns of emotional decision-making for different groups with diverse personality traits. Data: The data was collected via an online experiment (See 'Steps to reproduce'). The raw experiment data is attached hereby as 'raw_data_ellsberg.csv'. Our data preparation Python code to standardise the data and prepare it for further learning can be found here: https://github.com/dtrugman/edt/blob/main/data_prepare_ellsberg.ipynb
DOI: 10.17632/hsfbtymdmf
title: Briquette Data for Publication

description: The performance of the briquettes at different torrefaction temperature and feedstock mixture were experimentally determined. For instance, the physicomechanical properties such as the compressed density (CD), relaxed density (RD), durability index (DI), water resistance index (WRI), relaxation ratio (RR), and compressive strength (CS) are used to determine the strength attributes of the briquette fuel. The proximate characteristics including ash content (AC), volatile matter (VM), moisture content (MC), and fixed carbon (FC) content are used to evaluate the fuel properties in a briquette for application. The elemental characteristics including carbon content (CC), hydrogen content (HC), and nitrogen content (NC) present the elemental constituents of the briquette samples. The combustion indices including combustibility index (CI), fuel ratio (FR), and volatile ignitability (VI) are used to assess the suitability of a fuel in a coal engine. The FTIR presents the functional groups of the briquettes. The microstructural attributes of the briquettes at six different magnifications were obtained from SEM. The TGA presents the weight change of the briquettes when heated at a constant rate. 
The presented data contain all these parameters for raw sawdust, cassava peels, corn husk and their blends in pairs at different ratios and torrefaction temperatures.
DOI: 10.17632/7jghp35j4h
title: codes

description: These are the codes of the dataset that uses in classification of Brain tumor dataset
DOI: 10.18742/rdm01-460
title: Data files for Low-Cost Textile Myoelectric Control of KAFO paper

description: The use of surface electromyography (sEMG) for the detection of heel-strike and toe-off is investigated in order to control the knee joint of passive KAFOs. This has the potential to allow for the knee joint to bend during the swing and to lock during the stance of the supported leg. sEMG and motion capture experiments are run in India on three healthy participants were they are asked to perform a normal gait in a straight direction. These experiments are performed with embroidered electrodes which are a low-cost and reusable alternative to disposable gel electrodes. The event to predict are heel-strike and toe-off from the rest of the gait.
DOI: 10.17632/kvjm425xzd
title: Raw data to Bredeck et al. 2024, Environment International

description: In this repository you find the raw data to the following publication:

Bredeck, G.; Dobner, J.; Rossi, A.; Schins, R.P.F. Saharan dust induces the lung disease-related cytokines granulocyte–macrophage colony-stimulating factor and granulocyte colony-stimulating factor. Environment International. 2024. https://doi.org/10.1016/j.envint.2024.108580
DOI: 10.17632/r2pnm2j4vk
title: Confusing imaging appearance of split-tip hemodialysis catheter

description: Real time fluoroscopy shows the malaligned/fractured distal tip of the longer catheter that appears to be still attached with no large flip-flop movement.
DOI: 10.17632/pzwb8dj2hm
title: Short and long timescale analysis of fish navigation - scripts and data

description: The scripts used for short and long time scale behavioral analysis performed in Rajan et al. 2022 (https://doi.org/10.1016/j.celrep.2022.110585) is shared here. Please read the README file before using the scripts and example datasets.
DOI: 10.15468/dl.gat7pf
title: Occurrence Download

description: A dataset containing 104254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Molinia caerulea (L.) Moench",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 104254 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012867-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggsm7v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((45.5755 -13.3048,45.7911 -12.8231,45.6061 -12.3752,45.0241 -12.1382,44.9648 -12.0572,44.9648 -13.45,45.02 -13.4845,45.5755 -13.3048))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012874-250525065834625/datasets/export for details.