cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24942093
title: Coronary Artery Disease Plasma Cytokine Data

description: A total of 1040 people were included in the study, each with different biomarker levels. Each of the 450 cytokine indicators was tested. They assigned People to the CAD (390 individuals) or control groups based on the final target trait qualities (650 individuals). The 36 cytokine biomarkers were merged in the model's feature space to quantify similarity, followed by the CAD or Regulator categorization. Prior to participating, all individuals signed a written informed consent form. From males, 43.3%, and females, 43.3%, Blood samples were taken, their ages ranging from 17 to 64 years (median age = 40), who had been diagnosed with CAD, and age- and sex-matched controls. The infarction Myocardial, angiographic ally confirmed (CAD), or coronary artery bypass graft surgery was all present in the CAD participants. There was no history of CAD or clinical indication of it in the control group.Prior or Current therapy for autoimmune illness or cancer, diabetes, smoking, use of NSAIDs before blood collection, postmenopausal women, and anyone over the age of 65 were all excluded. There were no lipid-lowering drugs given to the participants. The blood is taken into EDTA collecting tubes and placed on ice immediately. Separate plasma from samples by centrifuging, then aliquot and store at -80°C until further use. Before detecting cytokine levels using the Thermosphere/Life Sciences 45-fold Human ELISA kit, samples must be thawed on ice per the manufacturer's instructions. Using a standard curve for each cytokine, the exponent program was used to analyze the raw data and convert them to pg./mL. Tab. 1 presents demographic and clinical data for the study cohort.
DOI: 10.5281/zenodo.10457578
title: The Relaxed Geometry of Intermediates from Photocatalytic Hydrogen Evolution Reaction of RuPtI2 Photocatalyst

description: The optimized geometry of Intermediates from Photocatalytic Hydrogen Evolution Reaction of RuPtI2 Photocatalyst are obtained from Density Functional Theory (DFT) calculation. Here, the B3LYP/def2svp level of theory within MeCN (SMD Implicit Solvent Model) are implemented for geometry optimization. For correcting the electronic energy, M06/def2TZVP is used in this mechanistic study. All of calculation are done by Gaussian 16 Software. The name of Intermediates are following the original paper and its Supplementary Information.
DOI: 10.5281/zenodo.10457577
title: The Relaxed Geometry of Intermediates from Photocatalytic Hydrogen Evolution Reaction of RuPtI2 Photocatalyst

description: The optimized geometry of Intermediates from Photocatalytic Hydrogen Evolution Reaction of RuPtI2 Photocatalyst are obtained from Density Functional Theory (DFT) calculation. Here, the B3LYP/def2svp level of theory within MeCN (SMD Implicit Solvent Model) are implemented for geometry optimization. For correcting the electronic energy, M06/def2TZVP is used in this mechanistic study. All of calculation are done by Gaussian 16 Software. The name of Intermediates are following the original paper and its Supplementary Information.
DOI: 10.5281/zenodo.10457987
title: The Relaxed Geometry of Intermediates from Photocatalytic Hydrogen Evolution Reaction of RuPtI2 Photocatalyst

description: The optimized geometry of Intermediates from Photocatalytic Hydrogen Evolution Reaction of RuPtI2 Photocatalyst are obtained from Density Functional Theory (DFT) calculation. Here, the B3LYP/def2svp level of theory within MeCN (SMD Implicit Solvent Model) are implemented for geometry optimization. For correcting the electronic energy, M06/def2TZVP is used in this mechanistic study. All of calculation are done by Gaussian 16 Software. The name of Intermediates are following the original paper and its Supplementary Information.
DOI: 10.5281/zenodo.10457999
title: JiraMiner dataset

description: The JiraMiner dataset is gathered from Apache projects available in JIRA issue tracking platform and their corresponding GitHub repositories for code during the AssureMOSS project.
DOI: 10.5281/zenodo.10457998
title: JiraMiner dataset

description: The JiraMiner dataset is gathered from Apache projects available in JIRA issue tracking platform and their corresponding GitHub repositories for code during the AssureMOSS project.
DOI: 10.6084/m9.figshare.24942141
title: Agile Principles Survey and Responses

description: Survey responses targeting different experiences in agile teams have been conducted collecting 56 responses. Investigating the most difficult Agile principle to implement, together with causes and mitigations
DOI: 10.5281/zenodo.10427230
title: Dental raw mesowear and microwear data for the ungulates and carnivorans from Cioburciu 1, Grebeniki and Tudorovo (Late Miocene)

description: Raw data from the low-magnification analysis (x35) of dental microwear and the mesowear analysis of the ungulates and carnivorans from the Late Miocene deposits of Cioburciu 1, Grebeniki and Tudorovo (northern Black Sea region).
DOI: 10.5281/zenodo.10427231
title: Dental raw mesowear and microwear data for the ungulates and carnivorans from Cioburciu 1, Grebeniki and Tudorovo (Late Miocene)

description: Raw data from the low-magnification analysis (x35) of dental microwear and the mesowear analysis of the ungulates and carnivorans from the Late Miocene deposits of Cioburciu 1, Grebeniki and Tudorovo (northern Black Sea region).
DOI: 10.25375/uct.24906924
title: ADHD and Common Mental Disorders: Effect on Academic Success in SA First-Years

description: Objective. Attention-deficit/hyperactivity disorder (ADHD) symptoms are highly prevalent among university students. These symptoms, particularly the inattentive cluster, predispose students to poorer academic performance and worse academic adjustment. Moreover, ADHD symptoms are often comorbid with other common mental disorders; this comorbidity also leads to poor outcomes. South African students often have fewer resources to successfully transition to university. Hence, our longitudinal study used data from a sample of South African first-year undergraduate students to investigate the (a) association between ADHD symptoms and academic performance / adjustment, (b) separate influence of the inattentive and hyperactivity-impulsivity clusters on academic performance / adjustment, and (c) influence of the combination of ADHD and psychiatric comorbidities on academic performance / adjustment. Method. We collected data three times through the first semester of 2023. Predictors within our regression models included sociodemographic variables, psychological variables (self-reported symptoms of ADHD, depression, anxiety, risky alcohol use symptoms), and high school academic performance. Outcomes were first-semester GPA and self-reported academic adjustment. Results. Analyses showed that, unlike academic performance (N = 506), academic adjustment (N = 180) was significantly (p &lt; .05) predicted by ADHD symptoms and the combination of ADHD, depression, and anxiety symptoms. Inattentive ADHD symptoms predicted both academic performance and academic adjustment. Conclusions. Our findings suggest that ADHD (both with and without other common mental disorders) influences academic adjustment, and that inattentive symptoms of ADHD affect both academic performance and academic adjustment. These findings are significant in informing future interventions targeting the academic outcomes of first-year university students.
DOI: 10.6084/m9.figshare.24941931.v1
title: Poultry

description: The effects of propolis extract supplementation to breeder and broiler diet, and its in-ovo injection to hatching eggs on immune status, some blood parameters and performance of broiler chicks
DOI: 10.6084/m9.figshare.24941982.v1
title: Data Repository

description: We herein assessed morphological and semi-automatized quantification using QUPATH software of tumor budding in pancreatic carcinoma.In this studied, we demonstrated no statistically significant association between both methods.We also found a significant association of tumor budding in pancreatic carcinoma and overall survival.Our results suggest that tumor budding should be included in prognostic factors of pancreatic carcinomas.
DOI: 10.17632/jrh75fg3zx.2
title: ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels

description: We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to mid-2023. Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app was developed for data exploration. App code and the data have been made fully available on the following Github repository (https://github.com/ale-ch/it-fuel-dashboard). The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.
DOI: 10.17632/jrh75fg3zx.1
title: ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels

description: We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to mid-2023. Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app was developed for data exploration. App code and the data have been made fully available on the following Github repository (https://github.com/ale-ch/it-fuel-dashboard). The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.
DOI: 10.17632/jrh75fg3zx.3
title: ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels

description: We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to October 2023 (release V3, January 2024). Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app (freely available at the webpage https://ale-ch.shinyapps.io/it-fuel-dashboard/) was developed for data exploration. App code and the data have been made fully available on the following Github repository (https://github.com/ale-ch/it-fuel-dashboard). The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.
DOI: 10.34620/dadosipb/kb5zi7
title: Base de dados de produção e armazenamento de produtos agrícolas, Angola / Databe on production and storage of food staples, Angola

description: Base de dados de respostas aos questionários de produção e armazenamento de produtos agrícolas, aplicados a agricultores da província do Cuanza Sul, Angola / Database of production and storage of food staples, applied to farmers from the province of Cuanza Sul, Angola
DOI: 10.34620/dadosipb/53iztb
title: Questionário de dieta alimentar, Moçambique / Questionnaire of food diet, Mozambique

description: Questionário de dieta alimentar aplicado a famílias das províncias de Gaza e Inhambane, Moçambique / Questionnaire of food diet applied to families from the provinces of Gaza and Inhambane, Mozambique
DOI: 10.6084/m9.figshare.21546058.v2
title: The Underlying Temporal Features in the Transition from Bouncing to Rolling Events

description: The organization of our representations within a multi-dimensional acoustic space provides information about the broad relationships and associations between common sound-events; however, less is known about sounds that have acoustic features that situate them between two typical events in feature space. In the present study, we examined the acoustic space of two simple event types: a bouncing event and a rolling event. Two continua of sound events, at different paces, were generated through a Delay-add procedure, whereby a natural recording of a rubber ball bouncing was added to itself to ultimately build up a series of closely-spaced, random, small impacts such as those commonly found in a rolling event. Listener ratings indicate that our continua of sounds perceptually transitions from bouncing to rolling events, and this transition occurs gradually. Second, we find that listeners are sensitive to the variability in the interval between impulses as well as the number of impulses present in the sound per unit time. Furthermore, we find that these two sound properties can unify the event categorization decisions across both continua, suggesting an important role for temporal features in the interpretation of sound events.
DOI: 10.6084/m9.figshare.21546058
title: The Underlying Temporal Features in the Transition from Bouncing to Rolling Events

description: The organization of our representations within a multi-dimensional acoustic space provides information about the broad relationships and associations between common sound-events; however, less is known about sounds that have acoustic features that situate them between two typical events in feature space. In the present study, we examined the acoustic space of two simple event types: a bouncing event and a rolling event. Two continua of sound events, at different paces, were generated through a Delay-add procedure, whereby a natural recording of a rubber ball bouncing was added to itself to ultimately build up a series of closely-spaced, random, small impacts such as those commonly found in a rolling event. Listener ratings indicate that our continua of sounds perceptually transitions from bouncing to rolling events, and this transition occurs gradually. Second, we find that listeners are sensitive to the variability in the interval between impulses as well as the number of impulses present in the sound per unit time. Furthermore, we find that these two sound properties can unify the event categorization decisions across both continua, suggesting an important role for temporal features in the interpretation of sound events.
DOI: 10.18712/nsd-nsd2974-v5
title: Norwegian Citizen Panel Round 21, 2021

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time in the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 21, 2021 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company Ideas2Evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates is available at www.medborger.uib.no www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.34881/aksopq
title: Könnun um viðhorf Íslendinga til innflytjenda

description: Könnunin er hluti af rannsóknarverkefninu Samfélög án aðgreiningar. Um er að ræða spurningalistakönnun sem gerð var haustið 2018 meðal íbúa í tólf sveitarfélögum þar sem spurt var um viðhorf til fjölmenningar og innflytjenda.
DOI: 10.6084/m9.figshare.24658119
title: Relative importance of vegetation features and intra- and interspecific interactions on habitat preferences of a raptor guild in eucalypt plantations

description: Forest plantations are increasingly recognized for their role in providing ecosystem services in agroforestry systems. Understanding the habitat preferences of potentially beneficial birds supports effective forest management. Our study focused on identifying breeding habitat preferences of a raptor guild and assessing exotic eucalypt plantations as potential breeding sites. We explored preferences at various spatial scales considering vegetation features, intraspecific territorial behaviour, and interspecific interactions within the guild to determine their importance. We hypothesized that feeding habits and body mass explain differences in habitat preferences among three diurnal raptors (Northern goshawk, Common buzzard, Eurasian sparrowhawk). We employed random forest models to differentiate breeding sites from control plots, assessing factors' relative importance and unravelling the hierarchical process of habitat selection in southwestern Europe's eucalypt plantations. The studied eucalypt plantations emerged as suitable breeding habitats, harbouring dense breeding populations with uniform spatial distribution. Intraspecific territoriality and vegetation significantly influenced breeding habitat selection, while interspecific interactions held lesser influence. Species-specific variations were attributed to feeding habits and body masses. Tall eucalypt trees and mature-like patches were crucial elements driving breeding habitat selection. Raptors' preference for specific woody elements primarily influences areas within a relatively small radius around their nests (including the nest tree, nest site −10 m radius, and nest stand −50 m), with sparrowhawks showing preferences extending to 125 m. Raptors' inclination for mature woody elements and mature forest patches should steer forest management to bolster these apex predators and their contributions in eucalypt plantations within agroforestry systems.
DOI: 10.5281/zenodo.10046371
title: Correspondence table between UNFCCC CRF and EXIOBASE industry sectors

description: This repository contains a correspondence table (CT) that maps the UNFCCC Common Reporting Format (CRF) to the EXIOBASE v3 industry classification. The CT was compiled for our study on "Estimating the uncertainty of the greenhouse gas emission accountsin Global Multi-Regional Input-Output analysis" submitted to the Journal of Earth System Science Data (ESSD): https://essd.copernicus.org/preprints/essd-2023-473/

In the UNFCCC CRF (2019 revision) emission sources are grouped in categories and classifications, in a hierarchical order. The highest ranked categories - also called sectors - are 1) Energy, 2) Industrial Processes and Product Use, 3) Agriculture, 4) Land use, land-use change, and forestry (LULUCF), 5) Waste and 6) Other. Those sectors are further broken down into sub-categories, e.g. 1.A.1.a.i. The sub-categories of the sectors Energy, Agriculture and LULUCF are further broken down by the classification. The classification distinguishes different fuel types (in case of emission from "Energy') and animal types (in case of emissions from "Agriculture"). Like the categories, the classification also follows a hierarchical structure.

Parties report their emissions to the UNFCCC at different levels of resolution depending on national characteristics and data availability. 

Here, we provide two tables: 



correspondence_CRFdetailed_to_EXIOBASE_root.xlsx: Lists the correspondences only for the most detailed level (with regard to both category and classfication).

correspondence_CRFdetailed_to_EXIOBASE_coherent.xlsx: List the correspondences for all levels (automatically compiled from the 'root' table).


Collaboration in checking, revising and refining the correspondence table is appreciated. Please contact me if you have a revised version so that I can upload it to this repository.
DOI: 10.6084/m9.figshare.24941718
title: Supplemetry table 1_DN.xlsx

description: The content of the DN polysaccharides was accessed.Dried DN was composed of 33.6% polysaccharides calculated with an anhydrous glucose reference, which meets the standards to perform subsequent experiments