cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/68rs3d99zc
title: Constant current experiments, electric vehicle real-driving profiles, and Galvanostatic Intermittent Titration Technique (GITT) experiments for a LiFePO4/graphite battery cell

description: This dataset contains constant current experiments, electric vehicle real-driving profiles, and Galvanostatic Intermittent Titration Technique (GITT) experiments for a 49Ah LiFePO4/graphite opposed tab pouch cell tested at 25°C. Constant current experiments are performed at C/6 and C/12 and can be used to identify unknown model parameters. Electric vehicle real driving profiles can be used to train, validate, and test physics-based, machine learning, and hybrid models. GITT experiments (at  C/6, C/3, C/2, and 1C) can be used to calculate the battery cell high-frequency resistance as a function of both state of charge and C-rate. 

Further information on the dataset can be found in the "README.rtf" file. Properties of the pouch cell are summarized in "cell_properties.png".
DOI: 10.6084/m9.figshare.12156159.v5
title: Individual back-calculated size-at-age based on otoliths from Pacific coral reef fish species

description: This dataset is associated to the article Morat et al, 2020 (submitted in Scientific Data).
DOI: 10.6084/m9.figshare.26828467.v5
title: All Climate-Related Posts on Reddit from 2005-2021 and Derived Data

description: To analyze public discourse on climate change and global warming within the vast dataset of Reddit posts from 2005 to 2021, a rigorous filtering process was employed to isolate climate-related discussions. Starting with over 11.5 billion posts, a series of carefully designed regular expressions were used to identify and extract posts explicitly mentioning key terms and phrases associated with climate change. These included "climate change," "global warming," "carbon emissions," and references to significant environmental agreements like the Paris Accord and Kyoto Protocol. The expressions were crafted to capture a wide range of relevant discussions while excluding posts that mentioned "climate" in non-environmental contexts, such as "political climate" or "economic climate." This step was crucial in ensuring that the analysis focused solely on discussions pertinent to global environmental change.<br>After applying these filters, the dataset was narrowed down to approximately 15.3 million posts, representing just 0.134% of the original dataset. To further refine the data, language detection was performed using two independent libraries, Polyglot and LangDetect, to ensure that only English-language posts were included. This dual verification process resulted in a final dataset of approximately 1.5 million posts, all of which were confirmed to be in English.<br>The curated dataset was then subjected to detailed analysis, including sentiment analysis, polarity and subjectivity assessment, and readability evaluation. By focusing on this carefully selected subset of posts, the study was able to provide meaningful insights into how climate change and global warming are discussed across various communities on Reddit. This approach allowed for a nuanced understanding of public engagement with climate-related topics, revealing trends in sentiment, language complexity, and the shifting terminology used in these discussions over time.
DOI: 10.17608/k6.auckland.22661695.v1
title: Health Status

description: Percentage of the population with a range of self-reported health status for Statistical Area 2 (2018) units. Original data sourced from Census 2018 and New Zealand Health Survey 2017/18 and 2018/19. Data provided are synthetic data produced from spatial microsimulation modelling.
DOI: 10.17632/9k894hy6w6
title: LINF_170013300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/hpmd99x5fn
title: Tim-3+CD4+T cell E1/E2/E3 RNA-seq

description: RNA-seq analysis data of 3 cases of Tim-3+CD4+T cells sorted by flow sorting technology
DOI: 10.17632/tfs9bm98pm
title: Determining patient understanding of commonly used dermatology terms: A multicenter cross-sectional survey

description: survey instrument
DOI: 10.17632/zwwf46dydh
title: Ethical decision-making dynamics

description: Data used for PLS-SEM analysis
DOI: 10.6084/m9.figshare.1108281.v1
title: The Association between Having Access to Computers and Internet and Educational Achievement for Primary Students in Brazil

description: Post-processed data and programs relative to the paper "The Association between Having Access to Computers and Internet and Educational Achievement for Primary Students in Brazil" published in Computers & Education (2015) http://www.sciencedirect.com/science/article/pii/S0360131514001808<br>
DOI: 10.6084/m9.figshare.5734317.v1
title: Investigating the Influence of Auxiliary Rails on Dynamic Behavior of Railway Transition Zone by a 3D Train-Track Interaction Model

description: Abstract Abrupt track vertical stiffness variations along railway tracks can lead to increased dynamic loads, asymmetric deformations, damaged track components, and consequently, increased maintenance costs. The junction of slab track and ballasted track is one of the existing areas where vertical track stiffness can suddenly change, therefore requiring a transition zone that smoothes the track stiffness change. One of the methods for constructing the transition zone at the junction of slab and ballasted tracks is to install auxiliary rails along the transition zone. In the present study, the dynamic behavior of this type of transition zone was evaluated by a train-track interaction model. For this purpose, a 3D model of the railway track was made, representing the slab track, the transition zone, and the ballasted track. Then, the modeling results were validated by the results of field tests. Afterwards, in order to study the dynamic behavior of the transition zone with auxiliary rails, different sensitive analyses, such as vehicle speed, vehicle load, number of auxiliary rails and railpad stiffness, were performed with the model. The obtained results showed that the use of auxiliary rails reduced the rail deflection variations along the transition zone from 35% to 28% for low and medium speeds (120, 160, 200 km/h), and from 40% to 33% for high speeds (250, 300 km/h).
DOI: 10.17632/7937gn7g8c
title: Hotspot dust sources of Tigris and Euphrates basin identified using visual interpretation of satellite imagery 

description: Identifying dust sources using remotely sensed satellite imagery is one of the most effective ways of studying dust emission and dynamics. Even though complex algorithms and sophisticated models that take advantage of different data sources have been developed, human knowledge and experiences are key factors in accurate dust source identification. This project employed visual interpretation of satellite imagery (VISI) approach to identify hotspot dust sources (HDSs). Accordingly, using visual interpretation of 27,239 MODIS images, a number of 10,422 HDSs were identified in the Tigris and Euphrates basin (TEB) from 2000 to 2021. The identified HDSs have spatial and temporal attributes. This data is freely available to researchers, decision-makers, and managers for use in studies related to dust storms, water, soil and plant resources as well as environmental crises in the TEB.
DOI: 10.17632/7hm73vk33r
title: A heat transfer dataset for supercritical carbon dioxide flowing in three directly heated tubes with internal diameters equal to 4.6, 8.0 and 22.0 mm under closely incremented and widely ranging operating conditions

description: All experimental results were collected in the multi-fluid Supercritical University of Ottawa Loop (SCUOL). This facility was designed to operate at a maximum pressure of 10 MPa and contained carbon dioxide as the working fluid. Measurements were collected in three electrically heated circular tubes with inner diameters D = 4.6, 8.0 and 22.0 mm, wall thicknesses 0.89, 1.00, and 1.50 mm and heated lengths of 1200, 1940 and 2000 mm, respectively; each heated test section was preceded by an unheated section of the same tube. Wall temperature was measured by closely spaced, surface mounted, T-type thermocouples. The bulk fluid specific enthalpy along the heated test section was calculated using the energy equation. Local values of the carbon dioxide thermophysical properties were computed from specified values of pressure and temperature using the NIST software. The three datasets, one for each test section, include wall temperature, bulk temperature, and heat transfer coefficient profiles for each condition measured. The conditions include a reduced pressure that was 1.13 times the pressure of supercritical carbon dioxide. The mass flux (G) was incremented by increments of 100 kg/m^2s up to G = 700 kg/m^2s, with measurements also taken at G = 1000 and 1500 kg/m^2s for the 4.6 and 8 mm test sections. For each G, measurements were taken for three or four different wall heat fluxes (q) at levels slightly below and above the corresponding value at heat transfer deterioration onset. For each of the mass flux and heat flux combinations, tests were performed for inlet temperatures in the range 0 ◦C
DOI: 10.17632/88rpmmnmkm
title: HEVC-SVS: Low-level HEVC features and CNN features for TVSum, SumMe, OVP and VSUMM datasets

description: Proposed HEVC feature sets along with CNN features from GoogleNet, AlexNet, Inception-ResNet-V2, and VGG16 for TVSum, SumMe, OVP and VSUMM datasets. The new modified datasets names are "HEVC-SVS-TVSum", "HEVC-SVS-SumMe", "HEVC-SVS-OVP" and "HEVC-SVS-VSUMM", respectively.

The datasets contain the original ground truth data they came with, and these stayed unmodified.

Upon using any of these datasets, please do cite our publications where we proposed the HEVC feature set for the first time:

If you are using (HEVC-SVS-OVP) and/or (HEVC-SVS-VSUMM) datasets: https://ieeexplore.ieee.org/document/9815254/

@article{issa_cnn_2022,
	title = {{CNN} and {HEVC} {Video} {Coding} {Features} for {Static} {Video} {Summarization}},
	volume = {10},
	issn = {2169-3536},
	url = {https://ieeexplore.ieee.org/document/9815254/},
	doi = {10.1109/ACCESS.2022.3188638},
	urldate = {2022-09-29},
	journal = {IEEE Access},
	author = {Issa, Obada and Shanableh, Tamer},
	year = {2022},
	pages = {72080--72091},
}

If you are using (HEVC-SVS-TVSum) and/or (HEVC-SVS-SumMe) datasets: https://www.mdpi.com/2076-3417/13/10/6065

@article{issa_static_2023,
	title = {Static {Video} {Summarization} {Using} {Video} {Coding} {Features} with {Frame}-{Level} {Temporal} {Subsampling} and {Deep} {Learning}},
	volume = {13},
	issn = {2076-3417},
	url = {https://www.mdpi.com/2076-3417/13/10/6065},
	doi = {10.3390/app13106065},
	number = {10},
	journal = {Applied Sciences},
	author = {Issa, Obada and Shanableh, Tamer},
	month = may,
	year = {2023},
	pages = {6065},
}

Make sure to also cite the original authors for each of the datasets:

TVSum (https://people.csail.mit.edu/yalesong/tvsum/)
SumMe (https://gyglim.github.io/me/vsum/index.html)
OVP and VSUMM (https://www.sites.google.com/site/vsummsite/download)


Acknowledgement:
The work in this research project is supported by the American University of Sharjah under research grant number FRG22-E-E44. This research work represents the opinions of the author(s) and does not mean to represent the position or opinions of the American University of Sharjah.
DOI: 10.6084/m9.figshare.1266450.v1
title: FIB/SEM reconstruction of identified neurons - Supplementary Movies

description: Supplementary Movies of the peer reviewed publication:<br><br>FIB/SEM technology and high-throughput 3D reconstruction of dendritic spines and synapses in GFP-labeled adult-generated neurons. Front. Neuroanat. | doi: 10.3389/fnana2015.00060
DOI: 10.6084/m9.figshare.20318538.v1
title: data extracted from Yelp Open Dataset

description: The different data sets of point features related to food that we used for the different tasks in our user study. The data was extracted from the Yelp Open Dataset.
DOI: 10.6084/m9.figshare.22063148.v1
title: Dos Santos et al. 2023 - Limited transmission of maternal vaginal microbiomes

description: Supplementary data for Dos Santos et al. 2023 (Birth mode does not determine the presence of shared bacterial strains between the maternal vaginal microbiome and infant stool microbiome).
DOI: 10.6084/m9.figshare.6497750.v1
title: Western blot

description: Proteins (30μg) extracted from cells were loaded and separated in 8% SDS-PAGE and then transferred on nitrocellulose membranes. The membranes were blocked with 5% non-fat milk and incubated with Anti-SP1 (1:1000, 9389, Cell Signaling Technology, MA, USA) or Anti-CCR7 (1:1000, ab32527, Abcam, Cambridge, UK) in 5% milk/PBS buffer at 4℃ overnight, followed by incubation with goat anti-rabbit secondary antibody (A23720, Abbkine, Wuhan, China) conjugated with DyLight fluorescent 680. After extensive wash with PBST buffer, the band of protein was visualized under Odyssey CLx imaging system (LI-COR, Inc., NE, USA).
DOI: 10.6084/m9.figshare.7031129.v1
title: Source code S1. An example R script for data analysis. from Network resilience of mutualistic ecosystems and environmental changes: an empirical study

description: It is theorized that a mutualistic ecosystem's resilience against perturbations (e.g. species extinction) is determined by a single macroscopic parameter (network resilience), calculable from the network. Given that such perturbations occur owing to environmental changes (e.g. climate change and human impact), it has been predicted that mutualistic ecosystems that exist despite extensive environmental changes exhibit higher network resilience; however, such a prediction has not been confirmed using real-world data. Thus, in this study, the effects of climate change velocity and human activities on mutualistic network resilience were investigated. A global dataset of plant–animal mutualistic networks was used, and spatial analysis was performed to examine the effects. Moreover, the potential confounding effects of network size, current climate and altitude were statistically controlled. It was demonstrated that mutualistic network resilience was globally influenced by warming velocity and human impact, in addition to current climate. Specifically, pollination network resilience increased in response to human impact, and seed-dispersal network resilience increased with warming velocity. The effect of environmental changes on network resilience for plants was remarkable. The results confirmed the prediction obtained based on the theory and imply that real-world mutualistic networks have a structure that increases ecosystem resilience against environmental changes. These findings will enhance the understanding of ecosystem resilience.
DOI: 10.17632/gfhvh745sp
title: Socioeconomic Determinants of Awareness of Energy Labels and Their Influence on Purchase Decisions in the EU

description: This repository contains the R script and data used for the analysis presented in the paper titled “Socioeconomic Determinants of Awareness of Energy Labels and Their Influence on Purchase Decisions in the European Union”. The code reproduces all analyses, figures, and tables discussed in the manuscript.

The file energy_labels_analysis.R serves as the main script, containing code for data processing, analysis, and visualization. The script is self-contained and requires the necessary packages to be installed.

This study use a Eurobarometer survey of 27,438 individuals across 28 EU Member States commissioned by the European Commission in 2019 to analyze respondents’ awareness of the EU Energy Labeling scheme and the impact of labels on the purchases of electrical appliances (ZA7575_v1-0-0.dta).

In addittion, we use the file nuts_level1.xlsx to standardize NUTS level 1 regions across all countries, as the survey measured countries at varying NUTS levels.

To explain country-specific differences in label awareness and influence, we incorporate additional data from Eurostat, the OECD and the Manifesto Research on Political Representation project (MARPOR).

energy_price_by_country_2019s1.xlsx
gdp_pc.xlsx
imports_dependency2018-19.xlsx
pisa 2018.xlsx
MARPOR.xlsx
MPDataset_MPDS2023a.csv

The analysis reveals that individual characteristics have a stronger effect on the influence of the label on purchase decisions than on label awareness. Despite controlling for individual variables, substantial heterogeneity across countries remains. Through simulation exercises examining both universal and targeted awareness interventions, we demonstrate that even when label awareness is at its highest level, it does not necessarily translate into substantially higher influence of label on purchase decisions.
DOI: 10.6084/m9.figshare.10312199.v1
title: Data from: Regional-scale variation on Dromiciops gliroides occurrence, abundance, and activity patterns along a habitat disturbance gradient

description: Original data from: Rodríguez-Gómez, G.B. & F.E. Fontúrbel. Regional-scale variation on Dromiciops gliroides occurrence, abundance, and activity patterns along a habitat disturbance gradient. Journal of Mammalogy.<br>Please see readme.txt file for details.
DOI: 10.6084/m9.figshare.15121272.v2
title: Metabolic flux analysis of cancer models in 2D and 3D culture

description: Datasets for the publication titled: Metabolic flux analysis of 3D spheroids reveals significant differences in glucose metabolism from matched 2D cultures of colorectal cancer and pancreatic ductal adenocarcinoma cell lines. (submitted, under review)<br>From two colorectal cancer and two pancreatic ductal adenocarcinoma cell lines, matched 2D and 3D spheroid cultures were grown and assessed for simple growth properties. Metabolic flux analysis, focused on glucose metabolism, was performed using Seahorse Bioscience XF analyzers. Measurement of glucose, glutamine, and lactate in culture media was performed using standard assay kits and levels of metabolically-relevant proteins (GLUT1, MCT1, MCT4, TOMM20, UCP2) were measured via flow cytometry.
DOI: 10.6084/m9.figshare.28147451.v1
title: Enhancing UNCDF Operations: Power BI Dashboard Development and Data Mapping

description: This project focuses on data mapping, integration, and analysis to support the development and enhancement of six UNCDF operational applications: OrgTraveler, Comms Central, Internal Support Hub, Partnership 360, SmartHR, and TimeTrack. These apps streamline workflows for travel claims, internal support, partnership management, and time tracking within UNCDF.Key Features and Tools:<b>Data Mapping for Salesforce CRM Migration:</b> Structured and mapped data flows to ensure compatibility and seamless migration to <b>Salesforce CRM</b>.<b>Python for Data Cleaning and Transformation:</b> Utilized <b>pandas</b>, <b>numpy</b>, and <b>APIs</b> to clean, preprocess, and transform raw datasets into standardized formats.<b>Power BI Dashboards:</b> Designed <b>interactive dashboards</b> to visualize workflows and monitor performance metrics for decision-making.<b>Collaboration Across Platforms:</b> Integrated <b>Google Collab</b> for code collaboration and <b>Microsoft Excel</b> for data validation and analysis.
DOI: 10.17632/fwycxtjgcg
title: Supplemental Material for "Enhanced Disease-Specific Survival in Lentigo Maligna Melanoma Patients Treated with Mohs Surgery over Wide Local Excision: A Retrospective Cohort Analysis of the Surveillance, Epidemiology, and End Results Database"

description: Supplemental Table 1 for "Enhanced Disease-Specific Survival in Lentigo Maligna Melanoma Patients Treated with Mohs Surgery over Wide Local Excision: A Retrospective Cohort Analysis of the Surveillance, Epidemiology, and End Results Database"
DOI: 10.17632/t6rmzc8y6z
title: Data to replicate “Professor Self-assessment: identifying the determinants of contribution to the Program”

description: This dataset is derived from a study that had the objective of identifying the perception of professors of a Higher Education Institution regarding their participation in postgraduate programs. The target population of the study was composed by professors who work in graduate programs at the university. We applied a questionnaire of 75 items that encompass dimensions such as the University facilities, the students of the course, the coordination and secretary of the program, and the professor’s contribution to the program. Data collection was carried out online during the period of January 2021 to march 2021. We obtained the support of the Data Processing Center of the university where the research was carried out to divulgate the research and to send the questionnaire to the target population. The research was approved by the university's ethics committee (CAAE process n. 40529120.0.0000.5346). We obtained a final sample of 221 respondents. This dataset allowed us to perform multivariate data analysis by using the software SPSS v.23 and so, to achieve the objective proposed in the article.
DOI: 10.6084/m9.figshare.22695634.v2
title: Study of words and icons related to social networks: familiarity, valence and activation in Spanish university students

description: Social networks have become an important phenomenon in the daily lives of many people, which is why in recent years they have aroused the interest of many researchers. This fact contrasts with the lack of normative psycholinguistic and affective indexes that facilitate their study within psychology. The aim of the present work is to provide a freely accessible database with words and icons related to the most used social networks. The responses of a sample of university students on familiarity, emotional valence and arousal of 42 words related to social networks and their corresponding icons are analyzed. Most of the stimuli were familiar, had positive valence and generated high arousal in the participants. Gender differences related to familiarity were obtained in some words and icons. The findings obtained in the present work allow us to broaden the understanding of the lexicon used in the field of social networks. Also, the stimuli provided can be used in experimental studies on the use, abuse or dependence on social networks in Spain.
DOI: 10.6084/m9.figshare.25102106.v1
title: Slovenian meadow OTU tables converted to proportional abundance and sample metadata.

description: The ecological impacts of long-term (press) disturbance on mechanisms regulating the relative abundance (i.e. commonness or rarity) and temporal dynamics of species within a community remains largely unknown. This is particularly true for the functionally important arbuscular mycorrhizal (AM) fungi; obligate plant-root endosymbionts that colonise more than two-thirds of terrestrial plant species. Here we use high-resolution amplicon sequencing to examine how AM fungal communities in a specific extreme ecosystem – mofettes or natural CO<sub>2</sub>springs caused by geological CO<sub>2</sub>exhalations – are affected by long-term stress. We found that in mofettes, specific and temporally stable communities form as a subset of the local metacommunity. These communities are less diverse and dominated by adapted, ‘stress tolerant’ taxa. Those taxa are rare in control locations and more benign environments worldwide, but show a stable temporal pattern in the extreme sites, consistently dominating the communities in grassland mofettes. This pattern of lower diversity and high dominance of specific taxa has been confirmed as relatively stable over several sampling years and is independently observed across multiple geographic locations (mofettes in different countries). This study implies that the response of soil microbial community composition to long-term stress is relatively predictable, which can reflect also the community response to other anthropogenic stressors (e.g. heavy metal pollution or land use change). Moreover, as AM fungi are functionally differentiated, with different taxa providing different benefits to host plants, changes in community structure in response to long-term environmental change have the potential to impact terrestrial plant communities and their productivity.