cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27683151.v2
title: All data for each figure in <b>[</b><b>Imp</b><b>roving LCC Estimation from UAV Hyperspectral Imagery: A Gaussian Mixture Model to Reduce Vegetation Structure and Illumination Effects]</b>

description: <pre>This folder contains the data preprocessed for the artical <b>Improving LCC Estimation from UAV Hyperspectral Imagery: A Gaussian Mixture Model to Reduce Vegetation Structure and Illumination Effects</b>.<br><br>Each subfolder contains the preprocessed data for each figure in the article. The data is stored in a CSV file or TIFF file.<br><br>You need to know that the TIFF files are stored in a compressed format (uint16). You can * 1/10000 to get the original reflectance value.</pre>
DOI: 10.17632/bcdtw6htdj
title: Association between physical activity and adolescent mental health in the post COVID-19: the chain mediating effect of self-esteem and social anxiety

description: This is survey data from a study of the relationship between physical activity and adolescent mental health in the wake of the COVID-19 epidemic.
DOI: 10.6084/m9.figshare.3115156.v2
title: Common Workflow Language, v1.0

description: <pre>The Common Workflow Language (CWL) is an informal, multi-vendor working group consisting of various organizations and individuals that have an interest in portability of data analysis workflows. Our goal is to create specifications that enable data scientists to describe analysis tools and workflows that are powerful, easy to use, portable, and support reproducibility.</pre><pre>CWL builds on technologies such as JSON-LD and Avro for data modeling and Docker for portable runtime environments. CWL is designed to express workflows for data-intensive science, such as Bioinformatics, Medical Imaging, Chemistry, Physics, and Astronomy.</pre><pre>This is v1.0 of the CWL tool and workflow specification, released on 2016-07-08.</pre><pre>The specification, in HTML format, is in the draft-3/docs folder.</pre>
DOI: 10.6084/m9.figshare.6151130.v5
title: Commuting patterns: The Flow and Jump model and supporting data

description: A simple model (FJM) is proposed for describing commuter fluxes at different distances. The model is based on a master equation which allows a local net probability flow and non local jumps. FJM is in principle a one-parameter model, however it is found that by fixing this parameter we get a parameter free model, similar with the radiation model. We find that FJM offers an improved description for commuting data from USA, Italy and Hungary. For a special choice of the model parameter FJM leads to the radiation model.
DOI: 10.17632/58mwkj5pf8
title: ESG rating of general stock indices

description: #######################################################################################################
# THE FILES HAVE BEEN CREATED BY SZILÁRD ERHART FOR A RESEARCH: ERHART (2022):
# Take it with a pinch of salt - ESG rating of stocks and stock indices,  International Review of Financial Analysis, 10.1016/j.irfa.2022.102308
# USERS OF THE FILES AGREE TO QUOTE THE ABOVE PAPER
# THE PYTHON SCRIPT (PYTHONESG_ERHART.TXT) HELPS USERS TO GET TICKERS BY STOCK EXCHANGES AND EXTRACT ESG SCORES FOR THE UNDERLYING STOCKS FROM YAHOO FINANCE.
# THE R SCRIPT (ESG_UA.TXT) HELPS TO REPLICATE THE MONTE CARLO EXPERIMENT DETAILED IN THE STUDY.
# THE EXPORT_ALL CSV CONTAINS THE DOWNLOADED ESG DATA (SCORES, CONTROVERSIES, ETC) ORGANIZED BY STOCKS AND EXCHANGES.
#######################################################################################################
####################################READ ME############################################################
# BEFORE USING THE MONTE CARLO SIMULATIONS SCRIPT: 
# (1) COPY THE goascores.csv and goalscores_alt.csv FILES ONTO YOUR ON COMPUTER DRIVE. THE TWO FILES ARE IDENTICAL.
# (2) SET THE EXACT FILE LOCATION INFORMATION IN THE 'Read in data' SECTION OF THE MONTE CARLO SCRIPT AND FOR THE OUTPUT FILES AT THE END OF THE SCRIPT
# (3) LOAD MISC TOOLS AND MATRIXSTATS IN YOUR R APPLICATION
# (4) RUN THE CODE.
####################################READ ME############################################################



#######################################################################################################
# DISCLAIMER 
# The author takes no responsibility for the timeliness, accuracy, completeness or quality of the information provided. 
# The author is in no event liable for damages of any kind incurred or suffered as a result of the use or non-use of the 
# information presented or the use of defective or incomplete information. 
# The contents are subject to confirmation and not binding. 
# The author expressly reserves the right to alter, amend, whole and in part, 
# without prior notice or to discontinue publication for a period of time or even completely. 

#######################################################################################################
DOI: 10.6084/m9.figshare.20015237.v1
title: Mental Health Data.sav

description: SPSS data
DOI: 10.6084/m9.figshare.25383148.v1
title: <b>Differential survival and background selection in cryptic trunk-dwelling arthropods in fire-prone environments</b>

description: <b>data_1_colour_contrasts </b>=&gt; The data sheet contains informations for each species ID, the values of chromatic (color) and achromatic (luminance) contrasts for Blue tit (<i>Cyanistes caeruleus</i>) and Satin bower bird (<i>Ptilonorhynchus violaceus</i>) for artrhopod body regions (cephalothorax, thorax and abdomen) in each trunk condition (burned and unburned).<br><b>data_2_habitat_selection</b> =&gt; The data sheet contains informations for each species ID about the time spent on each type of substrate (burned and unburned) in the experimental arenas.<br><b>data_3_human_predation_experiment </b>=&gt; Predation experiments. The data sheet contains the Search time and Encounter distance for Black and Brown models tested in predation experiments, for each Human participant – “predator” and for each type of trunks (burned and unburned).<br>We also provide the scripts corresponding to each of the analyses carried out in the study. The names of the scripts correspond to the analyses carried out.<i>Please see Readme file for further details. </i><br>
DOI: 10.6084/m9.figshare.4542709.v6
title: Toward a Smell-aware Bug Prediction Model

description: Code smells are symptoms of poor design and implementation choices. Previous studies empirically assessed the impact of smells on code quality and clearly indicate their negative impact on maintainability, including a higher bug-proneness of components affected by code smells. In this paper, we capture previous findings on bug-proneness to build a specialized bug prediction model for smelly classes. Specifically, we evaluate the contribution of a measure of the severity of code smells (i.e., code smell intensity) by adding it to existing bug prediction models based on both product and process metrics, and comparing the results of the new model against the baseline models. Results indicate that the accuracy of a bug prediction model increases by adding the code smell intensity as predictor. We also compare the results achieved by the proposed model with the ones of an alternative technique which considers metrics about the history of code smells in files, finding that our model works generally better. However, we observed interesting complementarities between the set of buggy and smelly classes correctly classified by the two models. By evaluating the actual information gain provided by the intensity index with respect to the other metrics in the model, we found that the intensity index is a relevant feature for both product and process metrics-based models. At the same time, the metric counting the average number of code smells in previous versions of a class considered by the alternative model is also able to reduce the entropy of the model. On the basis of this result, we devise and evaluate a smell-aware combined bug prediction model that included product, process, and smell-related features. We demonstrate how such model classifies bug-prone code components with an F-Measure at least 13% higher than the existing state-of-the-art models.
DOI: 10.17632/yscdzrn45y
title: Data sets of measured pantograph voltage and current of European AC railways (2008)

description: Measured pantograph voltage and current from four different European AC railways covering both 16.7 Hz (Switzerland and Germany) and 50 Hz (Italy and France) systems. Data are organized in short recordings ("snippets") of 5 fundamental cycles of duration; each snippet is tagged with information regarding speed, overall rms current and traction/standstill/braking condition. Data are suitable e.g. for studies on Power Quality and energy consumption.
DOI: 10.6084/m9.figshare.19083344.v1
title: Data for "Computational method for the optimization of quasimonoenergetic Laser Compton X-ray sources for imaging applications"

description: Data used in paper entitled "Computational method for the optimization of quasimonoenergetic Laser Compton X-ray sources for imaging applications".<br>Data consists of .csv-formatted laser-Compton scattered (LCS) X-ray distributions over scattered angles and energies. To be used with the /compton-fastfit/ Github code repository.<br>Data is intended to be placed in the following directories in the /compton-fastfit/ repository:<br>/anchors_100k/ 20keV_6um_xyn.csv 40keV_6um_xyn.csv 60keV_6um_xyn.csv 90keV_6um_xyn.csv 100keV_6um_xyn.csv<br>/circular_aperture_check/ 73.0keV_6um_xyn.csv 73.2keV_6um_xyn.csv 73.4keV_6um_xyn.csv 73.6keV_6um_xyn.csv 73.8keV_6um_xyn.csv 74.0keV_6um_xyn.csv 74.2keV_6um_xyn.csv<br>/table1/ 25keV_6um_xyn.csv 40keV_6um_xyn.csv 55keV_6um_xyn.csv 65keV_6um_xyn.csv 80keV_6um_xyn.csv 95keV_6um_xyn.csv<br>
DOI: 10.6084/m9.figshare.27938454.v1
title: manta-agriculture-paddy/soybean/wheat

description: manta agriculture paddy/soybean/wheat
DOI: 10.6084/m9.figshare.5570305.v1
title: Rapid changes in Atlantic grey seal milk from birth to weaning – immune factors and indicators of metabolic strain

description: Datasets for proteomic and metabolomic analyses of grey seal milk associated with the paper "Rapid changes in Atlantic grey seal milk from birth to weaning – immune factors and indicators of metabolic strain" to be published in Scientific Reports by Amanda Lowe, Sami Bawazeer, David Watson, Suzanne McGill, Richard Burchmore, Paddy Pomeroy and Malcolm Kennedy.<br>
DOI: 10.6084/m9.figshare.7203971.v1
title: Additional file 1: of Factors driving effective population size and pan-genome evolution in bacteria

description: Table S1.Â Data summary. (XLSX 84 kb)
DOI: 10.17632/ycnjmkttj4
title: Data for: Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica

description: Jupyter notebooks written in python to identify strombolian eruptions in infrared images in the Ray lava lake atop Mount Erebus in Antarctica and cross-correlate volcano seismic data from the strombolian eruptions. These notebooks are related to the research by Brian Dye and Gabriele Morra titled, "Machine Learning as a Detection Method of Strombolian Eruptions in Infrared Images from Mount Erebus, Antarctica." The notebooks were written to be ran in Google CoLab with the current file names under the "Colab Notebooks" folder located in the "My Drive" folder of Google Drive. Some notebooks require ObsPy miniseed data, those should be run outside of Google CoLab. All outputs are contained within the folder so any notebook may be ran in or out of numerical order.
DOI: 10.6084/m9.figshare.10299092.v1
title: Authentication of 4-chloro-3'-methoxy-biphenyl

description: Authentication of 4-chloro-3'-methoxy-biphenyl by GC-MS. The purity (&gt;99%) of the title compound was determined based on relative peak area by GC-MS.<br>
DOI: 10.6084/m9.figshare.23177252.v2
title: Principal component analysis results and plotting

description: Principal component analysis results and plotting R markdown notebook for a set of Stone Age human samples from Europe. Commands for generating the plot of Mattila et al. 2023 Fig 2a.
DOI: 10.6084/m9.figshare.26232266.v9
title: Code and Source Data for Zeng et al., 2025

description: The fundamental code and source data for the article Zeng et al., 2024
DOI: 10.6084/m9.figshare.26845444.v1
title: Seedling establishment dataset (2023-2024)

description: Germination and establishment data for seeds of eight woody temperate species (<i>Acer rubrum</i>, <i>Acer saccharum</i>, <i>Celastrus orbiculatu</i><i>s</i>, <i>Lonicera maacki</i><i>i</i>, <i>Ostrya virginiana</i>, <i>Picea glauca</i>, <i>Pinus strobus</i>, <i>Rhamnus cathartica</i>). Seeds were cold-stratified (4C) for either 80, 100, or 120 days at 4C, experienced a false spring event for seven days (18C) in a growth chamber, and then experienced either an extreme-cold event (-14C) or control (4C). Following these experimental treatments, seeds were moved to a greenhouse and were monitored for approximately 60 days.
DOI: 10.6084/m9.figshare.27960402.v2
title: Reduced body mass in a highly insectivorous mammal, the garden dormouse - Ecological consequences of insect decline?

description: Data from Erhardt, S., Förschler, M. I., & Fietz, J. (2025). Reduced Body Mass in a Highly Insectivorous Mammal, the Garden Dormouse—Ecological Consequences of Insect Decline? <i>Ecology and Evolution</i>, <i>15</i>(4), e71340. https://doi.org/10.1002/ece3.71340Data on food residues in fecal samples follected from garden dormiceStructure of the dataset:<br>study site: 3 level RL, WK, MEmonth: Month in which data were collected<br>year: year of collection<br>ID: Individual identifier of a juvenile individual<br>sex: 2 level: m=male, f=femaleage: j = juvenile, a= adult<br>proportion of different food categoriesseeds, furits, arthropods, moss, leaes, buds, blossom and miscellaneous<br>Data on the body mass of adult garden dormiceStructure of the dataset:<br>study site: 3 level RL, WK, MEmonth: Month in which data were collected<br>year: year of collection<br>ID: Individual identifier of an adult individual<br>sex: 2 level: m=male, f=female<br>bm: body mass in g<br>TL: tibia length in mm<br>period: 2 level; period 1 (years from 2003 to 2005), period 1 (years from 2018 to 2021)Taminhib: median of the daily minimum ambient temperature during hibernation in °C (from October to April)<br>Data on the body mass of juvenile garden dormiceStructure of the dataset:<br>study_site: 3 level RL, WK, MEmonth: Month in which data were collected<br>year: year of collection<br>ID: individual identifier of a juvenile individual<br>sex: 2 level: m=male, f=female, ?=no classified<br>bm: body mass in g<br>TL: tibia length in mm<br>period: 2 level; period 1 (years from 2003 to 2005), period 1 (years from 2018 to 2021)week of birth: weeknumber of the birth dateData on date of birth and juvenile development of the reference litterdate: date of measurement<br>TL: tibia length in mm<br>age_days: juvenile age in days<br><br><br><br><br>
DOI: 10.6084/m9.figshare.29104619.v1
title: Modeling the relationship between function, cognition, and motor ability in Huntington's Disease

description: <b>Background</b>In Huntington’s Disease, motor and cognitive impairment both contribute to functional impairment, where a person’s ability to work and care for themselves becomes limited.<b>Objectives</b>The author sought to predict a subject’s functional impairment given the subject’s measured cognition and motor impairment.<b>Methods</b>Ordinal models were developed and fit to baseline data from the global observational study ENROLL-HD (N = 9,072). The Symbol Digits Modality Test (SDMT) was used to quantify cognition and, the Total Motor Score (TMS) was used to quantify motor ability. The models predicted the Total Functional Capacity (TFC) and Independence Score (IS) from the SDMT and TMS.<b>Results</b>Both SDMT and TMS were statistically significant predictors of function. The predicted function showed strong correlation with the observations (Pearson r of 0.82 for TFC and 0.84 for IS). The models were applied to predict functional improvements resulting from hypothetical treatments that improved SDMT or TMS. For example, it was projected that a 5 point improvement in SDMT would cause a mean improvement of 0.33 in TFC.<b>Conclusions</b>The models have implications for drug development, where rapidly acting symptomatic treatments may show improved cognitive or motor performance, but functional effects may be delayed or require large sample sizes to detect. Predicting functional effects with these models may support sample size calculations for future trials.<br>
DOI: 10.17632/bm8zgfns4y
title: Corporate Social Responsibility, Customer Engagement Behaviour and Loyalty in multichannel banking

description: Data contains information about the following variables: Corporate social responsibility, trust, service quality, satisfaction, customer engagement behaviour and loyalty. The data was collected in Peru. In addition, the sample includes information about the banking channels used by the population and descriptive data from the sample.
DOI: 10.17632/kfzcb9y7rz
title: Technology applied to diabetes

description: At the 17th International Conference of ATTD 2024, the central topics were the diagnosis of type 1 diabetes in preclinical stages and the contributions of technology in type 2 diabetes. In addition, the role of artificial intelligence in new monitoring options.
DOI: 10.6084/m9.figshare.13350593.v1
title: ECCOv2 SST

description: ECCOv2 SST every 3 days 1992-2019
DOI: 10.6084/m9.figshare.16822495.v1
title: Input data for replicating SA2 area population forecasts 2006-16

description: This file contains the data needed to replicate the SA2 area population forecasts evaluated in the paper "Evaluating alternative implementations of the Hamilton-Perry model for small area population forecasts: the case of Australia" by Tom Wilson and Irina Grossman.
DOI: 10.6084/m9.figshare.27310284.v1
title: BOA_Scenes_Video_Labels.xlsx

description: Microsoft Excel file with instant-by-instant account of the activities observed during six rehearsal and three performance videos.
DOI: 10.6084/m9.figshare.29070134.v1
title: Pirmasens-CEA-data

description: This dataset contains hourly time series data of heating demand and rooftop solar thermal potential for buildings in Pirmasens, Germany. It was generated using the City Energy Analyst (CEA) software, executed by an agent in The World Avatar (TWA) knowledge graph. Inputs were retrieved from TWA and include building geometry, weather data, and terrain elevation.<br><br>Outputs include:<br><br>Hourly heating demand per building<br><br>Hourly rooftop solar thermal potential per building
DOI: 10.17632/8ts5m3py6x
title: The impact of service quality, communication, and technological innovation on satisfaction with water or wastewater services the intervention effect of information

description: A study on the factors influencing satisfaction with water supply services and wastewater treatment services in the UK water sector.
DOI: 10.17632/cvvsrh456t
title: Easy tool for multiparametric categorization of pesticide risk in surface water and wastewater

description: This dataset provides information compiled on the risk associated to pesticides. In addition, it can be used as a model tool for classification of the pesticide risk in surface water and wastewater matrices since it gives an objective comparison of risk and possible impact on aquatic ecosystems and their surroundings.

The specific score proposed is here assigned to each compound as a function of: (i) toxicology classification according to the WHO (12 points); (ii) bioaccumulation (10 points); (iii) persistence in the environment as a function of the half-life time (10 points); (iv) solubility in water (7 points); (v) the acceptable daily intake (ADI) in humans (5 points); (vi) the acceptable limit in drinking water (6 points); (vii) tendency to produce diseases in the long term (8 points); (viii) ecotoxicological risk (12 points); (ix) acute toxicity in Daphnia Magna (9 points); (x) acute toxicity in rainbow trout (11 points); (xi) acute oral toxicity in rats (4 points); (xii) acute dermal toxicity in rats (4 points), and (xiii) acute inhalation toxicity in rats (2 points). 

In general terms, the parameters with the greatest influence on the global categorization were assigned taking into account the impact of the pesticides on aquatic ecosystems, followed by the risk of their mobility in the environment, their presence in surface water intended for human use, and finally their toxicity to their surroundings. Higher scores for each parameter were assigned to the highest risk categories.
DOI: 10.6084/m9.figshare.12665393.v1
title: Social Validation_Angelman_2020

description: The dataset includes social validation scores of 4 groups of external raters (i.e., caregivers, physiotherapists, psychologists, and teachers) who assessed the videos of 7 children exposed to a Microswitch-cluster technology-based regabilitative program
DOI: 10.6084/m9.figshare.14267381.v1
title: Reticulitermes speratus gene models OGS1.0

description: A set of official gene sets of Reticulitermes speratus version OGS1.0. Three files are included:<br>Rspe_OGS1.0.cds.fa -- CDS sequences<br>Rspe_OGS1.0.pep.fa -- translated protein sequences<br>Rspe_OGS1.0.gff3 -- gene models in GFF3 format<br>Rspe_genome.assembly.fasta.gz (DOI: 10.6084/m9.figshare.14267342) was used as a reference genome.<br>
DOI: 10.6084/m9.figshare.28615382.v1
title: Executive Functions - Scoping Review

description: This scoping review aimed to comprehend and synthesise the evidence regarding higher education students’ executive function skills. JBI guidelines were followed in conducting a scoping review of the literature. The databases searched included EBSCOHost, Web of Science, and Scopus. The scoping review examined 25 articles published between 2013 and 2023. The study identified factors contributing to or affecting students’ academic achievement due to lower executive function abilities.Executive function skills in higher education are crucial for optimal academic achievement. Suggestions for improving executive functions are offered. These cognitive abilities enable individuals to intentionally control their actions, enhancing students’ academic achievement. This type of information has significant potential to inform higher education practices to better understand the gaps and impacting factors on higher education students’ academic achievement. The reviewed data alert researchers to possibilities for enhancing executive function skills by employing a holistic approach, resulting in academic achievement.