cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3ydxwchm2c
title: Long-term monitoring of a research biogas plant

description: Long-term monitoring of a research biogas plant - basis for the temporal representation of the aging behavior of an oxidation catalyst in a biogas CHP The share of renewable energies in the electricity sector of Germany has risen steadily in recent years. The generation and use of biogas in CHP units is essential for the generation of electricity from biomass. When this bioenergy carrier is burned, ideally all combustible hydrocarbon-containing components are completely oxidized to CO2 and H2O. Under real conditions, however, combustion processes, as in the case of biogas-operated CHP units, always release unburned and partially oxidized substances. The TA-Luft specifies limit values for pollutant emissions, which were tightened in the 44th BImSchV in June 2019. The emission limit values cannot be complied through engine settings alone due to the target conflict between formaldehyde and nitrogen oxides. System settings with the aim of reducing nitrogen oxides result in an increase in formaldehyde emissions and the other way around. In order to be able to comply with both limit values, engine settings were adjusted to lower nitrogen oxide emissions and, at the same time, formaldehyde emissions were reduced by means of exhaust gas aftertreatment. The catalytic afterburning by oxidation catalysts was successfully established. These catalysts go through an aging process that has not yet been fully investigated and described. The catalytic performance of an oxidation catalyst in a CHP of a research biogas plant was monitored for 3 years. The catalytic results and informations about the catalyst are shown in “Zeitliche Darstellung des Alterungsverhaltens eines Oxidationskatalysators in einem Biogas-BHKW“ DOI: 10.1002/cite.201900152. All relevant parameters of the research biogas plant in this period of time are listet in this data publication.
DOI: 10.17632/d347zjsk27
title: Python Code for Stress Constrained Topology Optimization in ABAQUS

description: This dataset contains a Python code with five implementations of topology optimization approaches suitable for 2D and 3D problems, all considering bi-directional evolutionary structural optimization. The approaches implemented include both discrete and continuous methods, namely:
 - Optimality Criteria, for continuous or discrete variables;
 - Method of Moving Asymptotes;
 - Sequential Least-Squares Programming (from SciPy module);
 - Trust-region (from SciPy module).

The implementation of the Optimality Criteria method is suitable for compliance minimization problems with one mass or volume constraint. The implementation of the remaining methods is suitable for stress constrained compliance minimization and stress minimization problems, both with one mass or volume constraint.

The code uses the commercial software ABAQUS to execute Finite Element Analysis (FEA) and automatically access most of the necessary information for the optimization process, such as initial design, material properties, and loading conditions from a model database file (.cae) while providing a simple graphic user interface. Although the code has been developed mainly for educational purposes, its modularity allows for easy editing and extension to other topology optimization problems, making it interesting for more experienced researchers.

This code has been used in the article "Stress constrained topology optimization for commercial software: a Python implementation for ABAQUS®" [1]. The folders included in this dataset contain the results obtained, as well as the information necessary to replicate them. In particular, the folder 'Validation' contains the data used to validate the functioning of the code provided.

Notes:
- Stress-dependent problems are only compatible with the following ABAQUS element types: CPE4, CPS4, and 3DQ8.
- The authorship of the functions 'mmasub' and 'subsolv' used in the Method of Moving Asymptotes are credited to Arjen Deetman. Source: https://github.com/arjendeetman/GCMMA-MMA-Python
- Despite the validations performed, this program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. 


[1] - P. Fernandes et al., (2023) Stress constrained topology optimization for commercial software: a Python implementation for ABAQUS®, MDPI - Applied Sciences.
DOI: 10.17632/mdyw6dkg95
title: AI dataset of 3D head models with different cranial deformities

description: This repository presents a dataset generate by the method described in the article "Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities", published in Journal of Biomedical Informatics (2022). The dataset comprises synthetic head models (STL files) with normal head shapes and with different cranial deformities, namely: plagiocephaly, brachycephaly, scaphocephaly, combined plagiocephaly/brachycephaly, and combined plagiocephaly/scaphocephaly. The main goal of this dataset is to promote the development of methods to assess head shape.

 The proposed framework software is available under request. To request for the software, the user must fill the "Software Access Request Form" and send it to htorres@ipca.pt.
DOI: 10.6084/m9.figshare.22817525.v2
title: Data on "Reconciling carbon quality with availability predicts temperature sensitivity of global soil carbon mineralization"<b>"</b>

description: <br>Data on "Reconciling carbon quality with availability predicts temperature sensitivity of global soil carbon mineralization<b>"</b>
DOI: 10.6084/m9.figshare.3557715.v1
title: Supplement 1. R scripts for trait-level model (TLM) and species-trait-level model (STLM) tests for nonrandom patterns in the functional-diversity–area relationship.

description: File List R scripts for calculating FAR null models.r (MD5: 023dab61d9ade8305be9f11f88cd8753)Description R scripts for calculating FAR null models.r contains R scripts for implementing trait-level null model tests (TLM) and species-trait-level null model tests (STLM). Comment lines specify input and its format. The code can be copied and pasted into the R command line interface or called using the source() function. Results are plotted.
DOI: 10.15468/dl.ubnx8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "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 ((42.8012 -16.5547,42.4342 -16.6376,42.2188 -17.038,42.391 -17.4288,42.6657 -17.5533,43.0375 -17.4752,43.2579 -17.0968,43.0959 -16.69,42.8012 -16.5547))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013430-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.24994152.v1
title: <b>Examining factors affecting students’ intention of using Metaverse platform with an extended acceptance technology model (TAM)</b>

description: The aim of this study is to examine university students’ self-efficacy, enjoyment, and experience in using Metaverse in their learning. To achieve the goal of the study, the Technology Acceptance Model (TAM) was used to investigate the effect of the variables (self-efficacy, enjoyment, and experience) in the use of Metaverse. This study followed a quantitative methodology, and the data was collected from 314 students at the University of Ha’il. The results of the study revealed that self-efficacy significantly influences Perceived Usefulness, Perceived Ease of Use, and Perceived Experience. Enjoyment influences Perceived Usefulness, Perceived Ease of Use, and Perceived Experience. However, Perceived Usefulness and Perceived Experience do not significantly influence Behavioral Intention to use Metaverse. In conclusion, recommendations, practical implications, and future directions were discussed.
DOI: 10.6084/m9.figshare.26961706.v1
title: <b>An invasive </b><b><i>Anolis</i></b><b> lizard is more aggressive than a native congener during interspecific interactions and the difference is amplified at high temperature: Empirical data</b>

description: Empirically collected data on temperature-dependent aggression in two competing <i>Anolis</i> lizard species (the native <i>A. carolinensis</i> and the invasive <i>A. sagrei</i>). Additionally body temperature data of these two species in a thermal gradient when paired and alone.
DOI: 10.6084/m9.figshare.7653470.v1
title: A simple spreadsheet for estimating low-effect concentrations and associated confidence intervals with logistic dose response curves

description: A simple spreadsheet has been developed to estimate low effect concentrations for continuous responses (e.g. plant weights and heights). The spreadsheet allows the user to enter data in Excel (a package with which they familiar). The user enters sensible starting values using suggestions and interactive graphics, which increases the likelihood of finding an optimal solution.<br> The EC of interest is graphically presented along with it’s associated 95% confidence intervals (CIs). The benefits of this spreadsheet program include: * Graphical and tabular presentation of results , starting values and confidence intervals. * Regularly finds a solution die to graphical interface. * Wide variety of uses (e.g. bio-availability and toxicity of metals or pesticides to plants, worms and a range of indicator organisms and aquatic species)<br>This was presented at SETAC Asia/Pacific Conference, NZ 28/Sep/2003-1/Oct/2003. Requests for the spreadsheet 15 years later continue to encourage the spreadsheet authors.<br><br>
DOI: 10.6084/m9.figshare.13089434.v1
title: Data: erp and dip files from cue visual task

description: Data from 31 subjects (15 ADHD and 16 TDC) recorded with ASA EEG/ERP System (ANT Software, the Netherlands) with 128 Ag/AgCI sintered ring electrodes embedded in a active-shield cap (10-20 system) and shielded co-axial cables. Off-line data treatment with EEGlab software (Delorme & Makeig, 2004) and in house MATLAB-based tools (Cheron et al. 2014). More detailed available in related study undersubmission. Wait for publication.<br>
DOI: 10.17632/j7pc5gh7f3
title: Cricket Performance Dataset: Evaluating the Influence of Protective Gear on Agility and Sprint Performance

description: This dataset provides empirical data on the impact of wearing cricket protective gear on agility and sprint performance among competitive cricket players. The study was conducted using two standardized tests: the New Multi-Change of Direction Agility Test (NMAT) and the Bangsbo Sprint Test, with performance recorded both with and without cricket gear. The dataset includes measurements from 144 male cricket players, categorized into three age groups: Under-16 (U16), Under-18 (U18), and Under-23 (U23). Key attributes include demographic details (age, height, weight, BMI), test performance times, and dominant hand preference. This dataset can be used for sports analytics, machine learning-based performance prediction, and optimizing training methodologies for cricket players.

Keywords:
Cricket performance, agility, sprint test, protective gear, NMAT, Bangsbo Sprint Test, machine learning in sports, athlete performance analysis

Dataset Information:
Subjects: 72 male competitive cricket players
Age Groups: U16, U18, U23
Tests Conducted: NMAT (agility), Bangsbo Sprint Test (sprint performance)
Conditions: With and without protective cricket gear
Variables Included: Age, height, weight, BMI, NMAT times, Bangsbo sprint times, dominant hand, and player division

Column Descriptions: 
Age Group: U16, U18, U23 categories

Height (cm): Player's height in centimeters

Weight (kg): Player's weight in kilograms

BMI: Body Mass Index calculated from height and weight

NMATwithout Cricket Gears in sec: Agility test time without gear

NMATwith Cricket Gears in sec: Agility test time with gear

Bangsbo test wihout Cricket Gears in sec: Sprint test time without gear

Bangsbo test With Cricket Gears in sec: Sprint test time with gear

Methodology:
Study Design: Cross-sectional study
Testing Area: Cricket training facility with controlled conditions
Equipment Used:
Standard cricket gear (pads, gloves, helmet)
Electronic timing gates for precise measurements

Procedure:
Players completed NMAT and Bangsbo Sprint Test under both conditions (with/without gear).
Each test was performed after a warm-up, with sufficient recovery time between trials to minimize fatigue.
Performance times were recorded and analyzed.

Potential Research Applications:
Sports Performance Analysis: Evaluating how wearing cricket gear influences speed and agility.
Injury Prevention & Biomechanics: Understanding the potential risk of injury due to restricted mobility.
Sports Equipment Optimization: Informing the development of lighter, performance-friendly cricket gear.
Machine Learning for Sports Analytics: Predicting performance outcomes using AI-driven models.
DOI: 10.6084/m9.figshare.13322597.v2
title: Capital Metro Bus, Temperature, and Sociodemographic Data for Austin, Texas (2019)

description: Data were collected for a study, titled "Heat-moderating effects of bus stop shelters and tree shade on public transport ridership." In this study, authors determined whether bus stop shelters and tree canopy surrounding bus stops moderated the effect of warm season temperatures on ridership in Austin, Texas, and whether shelters and tree canopy were equitably distributed. Data are for 2,271 bus stops of Capital Metropolitan Transportation Authority, and span the 2019 warm season (April 1st through September 30th). Data are either at the bus stop level or day level. Data set includes all data used in the analysis. Please see associated metadata for description and source of each field. Contact Kevin Lanza (Kevin.L.Lanza@uth.tmc.edu) with any questions.
DOI: 10.6084/m9.figshare.28512599.v2
title: 上市公司年报-数字化转型2000-2022年.xlsx

description: 企业数字化转型程度
DOI: 10.17632/b4v2j2fpvr
title: Moura pig Technical lecture

description: Moura pig rearing topics
DOI: 10.17632/mbpf96y497
title: A Compilation of Investigational, Preclinical and Clinical Enzyme Based Therapeutics

description: A compiled list of Investigational, Preclinical and Clinical Enzyme Based Therapeutics, included within 4 Tables Table 1: Enzyme based therapeutics by class & challenges to clinical use Table 2: All FDA Approved Protein based therapeutics , 1965-2020 Table 3: FDA Approved Enzyme based therapeutics , 1965-2020 Table 4: Early Investigational Enzyme based therapeutics
DOI: 10.6084/m9.figshare.20291484.v1
title: Supplemental Table 1 CIFs

description: Additional CIFs and their CheckCIF reports for LESCO corresponding to the data presented in Supplemental Table 1.
DOI: 10.6084/m9.figshare.7151945.v1
title: Data and Metatdata for the paper "The roles of competition and climate in tree growth variation in northern boreal old-growth forests" published in the Journal of Vegetation Science

description: Data and Metatdata for the paper "The roles of competition and climate in tree growth variation in northern boreal old-growth forests" published in the Journal of Vegetation Science
DOI: 10.25380/iastate.9763058.v1
title: Sulfur on Ag(110) at low sulfur coverages

description: Data includes experimental STM images of sulfur on Ag(110), sulfur coverage calculations, and spacing and size measurements of complexes and sulfur adatoms at two different sulfur coverages, 20 mML and 250 mML.
DOI: 10.6084/m9.figshare.22691248.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.28946246.v1
title: A Nonparametric Test for Rough Volatility

description: We develop a nonparametric test for deciding whether volatility of an asset follows a standard semimartingale process, with paths of finite quadratic variation, or a rough process with paths of infinite quadratic variation. The test utilizes the fact that volatility is rough if and only if volatility increments are negatively autocorrelated at high frequencies. It is based on the sample autocovariance of increments of spot volatility estimates computed from high-frequency asset return data. By showing a feasible CLT for this statistic under the null hypothesis of semimartingale volatility paths, we construct a test with fixed asymptotic size and an asymptotic power equal to one. The test is derived under very general conditions for the data-generating process. In particular, it is robust to jumps with arbitrary activity and to the presence of market microstructure noise. In an application of the test to high-frequency financial data, we find evidence for rough volatility.
DOI: 10.6084/m9.figshare.705883.v2
title: Lift and drag coefficient versus angle of attack for a flying snake cross-section

description: Plots of the lift coefficient and drag coefficient of a flying snake cross-section, obtained from two-dimensional simulations using an immersed boundary method (cuIBM). We provide PDF files of the final plots, as they will appear in our paper "Lift and Wakes of Flying Snakes," submitted for peer review. The preprint of the paper is found at: http://arxiv.org/abs/1309.2969 The file bundle also includes the data set and the plotting scripts. The README file explains how to run the plotting scripts, as well as describing other file bundles that are released as supplementary materials for our paper. The data and figures are here shared under CC-BY, and will be thus referenced in the Figure captions in the paper.
DOI: 10.6084/m9.figshare.815939.v1
title: Datasets 2 and 3: Percentage accuracy and mean RTs (ms) for the group by visual field by validity ANOVA.

description: Dataset 2: For each participant, percentage accuracy was calculated within each of the levels of visual field and validity. The group data were subjected to a repeated measures ANOVA. The analyses of percentage accuracy are not reported, as they resulted in similar results with regards to the experimental hypotheses as the analysis of mean RTs. L = leftward-shifting prism group; R = rightward-shifting prism group; N=neutral pointing group; LVF = left visual field; RVF = right visual field. Dataset 3: For each participant, RTs (ms) were averaged within each of the levels of visual field and validity. The group data were subjected to a repeated measures ANOVA, as reported in the text. L = leftward-shifting prism group; R = rightward-shifting prism group; N=neutral pointing group; LVF = left visual field; RVF = right visual field.
DOI: 10.6084/m9.figshare.14481249.v2
title: Wide-field mosaic dataset of the corneal subbasal nerve plexus in Parkinson’s disease using in vivo confocal microscopy

description: In vivo confocal microscopy (VCM) Mosaic images (as TIFF files) representing a larger number of patients with Parkinson’s disease (n=42) and healthy controls (n=13). Dataset includes epidemiological data for the study population as well as parameters related to the IVCM images including corneal nerve fiber length (CNFL), corneal nerve branch density (CNBD), density of different types of inflammatory cells (mature and immature dendritic), in the Excel file. The dataset also includes zipped folders for each eye containing the raw IVCM images used to create the mosaic images.
DOI: 10.6084/m9.figshare.21791759.v1
title: Marker Data Files

description: Data files for all marker genes used in the manuscript, including Cop16S, FishCytb, LrCOI, MiFish12S, Mol16S, and Mol16S + fish blocker (FB). Included are the following files for each marker: 1) ASVs.fa (fasta file including all of the ASV sequence data). 2) ASVCounts.txt (raw read counts for each ASV per sample). 3) ASV2TaxonomyTable.txt (one ASV per line with assigned taxonomy). 4) taxonomy2PercentAbundance.txt (human-readable table summarizing all unique taxa and their relative percent abundance for each sample).
DOI: 10.6084/m9.figshare.24915870.v6
title: Traits estimated when grown alone may underestimate the competitive advantage and invasiveness of exotic species

description: This repository contains all the compiled data and code from the work "Traits estimated when grown alone may underestimate competitive advantage and invasiveness of exotic species" .
DOI: 10.6084/m9.figshare.14138660.v3
title: Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population

description: <strong>Background: </strong>The presence of psychosocial risks at work is associated with mental and physical health issues in workers. The study aim was to adapt the COPSOQ-ISTAS21 Medium-Version to the Peruvian context and to develop a Short-Version of the instrument. <strong>Method: </strong>Cross-sectional design study. The COPSOQ-ISTAS21 Medium Version was used. A confirmatory factor analysis was performed to determine the internal structure of each subdimension (first-order) and dimension (second-order) using the Robust Maximum Likelihood estimation method, and classic fit indices in the literature (CFI, SRMR, RMSEA). Internal consistency was evaluated using the alpha and omega coefficients. A short version was developed based on the items with the highest factorial load and that reduce the factorial complexity. <strong>Results: </strong>A total of 1707 participants were evaluated. In the confirmatory factor analysis, the goodness-of-fit indices for seventeen of the 20 one-dimensional models (subdimensions) were identified; two subdimensions could not be evaluated because they presented only two items. When conducting a multidimensional analysis, we identified that all second-order models presented optimal goodness-of-fit indices, except “psychological demands at work”. The latter required adding four pairs of correlated errors to reach adequate fit values. Finally, a short version of only 31 items was designed from the items with optimal fit indices. <strong>Conclusions:</strong> The new adapted versions of COPSOQ-ISTAS21 were renamed CENSOPAS-COPSOQ. The CENSOPAS-COPSOQ is an instrument with sufficient evidence of validity and reliability in its medium and short version, which is why its use is recommended in Peruvian work centers to identify the evaluation and prevention of psychosocial risks at work in Peru. <br> <strong>Manuscritpt: </strong>https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-022-13328-0