cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nttrfkg644
title: HDSNE a New Unsupervised Multiple Image Database Fusion Learning Algorithm with Flexible and Crispy Production of One Database: A Proof Case Study of Lung Infection Diagnose In Chest X-ray Images

description: HDSNE is a New Unsupervised Multiple Image Database Fusion using Learning Algorithm to Diagnose Covid-19 by Chest X-ray Images. We proposed a global data aggregation scale model with six image databases selected from specific global resources. The Hash MD5 algorithm returns a unique hash value for each image, making it appropriate for duplication removal. The hash MD5 and T-SNE algorithms are applied recursively, producing a balanced and uniform database containing equal samples per category: normal, pneumonia, and COVID-19. The dataset is then cleaned by removing non-posteroanterior (PA) view and CT images that affect the model training process. These duplicates and out-of-scope images are removed during the curation process and a refined dataset is available for download. The final version of the aggregated dataset is 441 frontal X-ray images per class.
This database is a partial fulfillment for the main belonging article submitted to BMC Medical Imaging Journal
DOI: 10.17632/xyc7vv94fy
title: WiFi Shore-to-shore communications dataset

description: Aquatic environments impose challenging conditions for signal propagation, impairing ubiquitous connectivity between (IoT) nodes resulting in degraded application performance. This dataset gathers information on the channel characteristics at 2.4 GHz between two shore nodes (shore-to-shore communications) operating over an intertidal zone with significant water level variations. The measurement campaign was conducted during the ebb period in the northern part of the coastal lagoon-estuarine system of Ria de Aveiro (Carregal, Ovar, Portugal) during May 2021. 

Additional details on the data gathering procedure and a complete data description are provided in the following paper:
- Pedro M. d'Orey, Miguel Gutiérrez Gaitán, Pedro M. Santos, Manuel Ribeiro, João B. Sousa, Luís Almeida, Assessing Short-Range Shore-to-Shore (S2S) and Shore-to-Vessel (S2V) WiFi Communications, Computer Networks, xxxx
DOI: 10.6084/m9.figshare.23309477.v1
title: Supplementary tables for PAS and NAS statements in Communication skills attitude scale

description: This data pertains to the study where medical students and interns attitude towards learning communication skills was assessed using communication skills and attitude scale(CSAS). The medical students were taught communication skills required for healthcare professionals using modules on Foundations of Communication in AETCOM course over all professional years. The feedback was collected from interns regarding the effectiveness of these modules in equipping them to interact with patients and family during the internship. The mean of the responses to the communication skills and attitude scale(CSAS) for the positive attitude statements(PAS) is presented in supplementary table 1 and negative attitude statements(NAS) in supplementary table 2.<b>Supplementary table 1:</b><b> </b><b>Mean scores of PAS in CSAS</b><b>Supplementary table 2:</b><b> </b><b>Mean scores of </b><b>NAS in </b><b>CSAS</b>
DOI: 10.17632/7h9f9mkh9b
title: Grand Bassa Difference in Differences Replication

description: This is a replication dataset for the manuscript "Impact of the Liberian National Community Health Assistant Program on Childhood Illness Treatment in Grand Bassa County, Liberia: A Difference-in-Differences Analysis of Population-Based Data." 

There are two data files. The file called "lms_gb_2019_child_did_replication_14feb2022.dta" is the main replication dataset. The file called "lms_gb_2019_child_did_replication_14feb2022 ALL_DATA_FOR SENSITIVITY_DO_NOT_USE.dta" includes data excluded from the main analyses because of data quality concerns. It should *not* be used for any purpose except to replicate a sensitivity analysis reported in the manuscript.
DOI: 10.17632/ys9nxb332x
title: The experimental data of the propane heat pump equipped with the thermoelectric-aided sub-cooler

description: The refrigeration and heat pump industries are major stakeholders in the worldwide energy sector, constituting 17% of the total [1]. Recently, the use of natural refrigerant fluids has become widespread in the sector to achieve sustainable development goals. In addition, efficiency improvements have been made in these cycles by configuring the standard cycle. In modern heating and cooling systems, the ejector-based heat pump units are one of the most effective solutions due to the expansion work recovery. However, the control of such a system together with an efficient operation is challenging due to the complexity of the ejector system. Nevertheless, variety of modifications such as subcooling techniques gives potential for enhanced energy efficiency improvements. Hence, different sub-cooling methods are investigated in the literature to control the ejector capacity using different sub-cooling degrees of the working fluid [2]. One of the promising solutions is the thermoelectric sub-cooling method due to its compactness and better scalability compared to other sub-cooling methods [3]. The thermoelectric sub-cooling method is based on taking advantage of thermoelectric modules (TEM) which convert electrical energy to heating and cooling energy on both sides due to the Peltier effect, while a hot side of the thermoelectric module rejects heat, the cold side of TEMs absorbs heat from the working fluid [4]. 

The main aim of this work is the preliminary experimental investigation regarding the implementation of a thermoelectric sub-cooler to the propane heat pump test rig considering energy performance analysis. The sub-cooler was designed using developed computational fluid dynamics (CFD) model and finite element analysis (FEA) approach to obtain a reliable and operational design for experiments. As a result of preliminary calculations, the sub-cooling unit (SCU) was manufactured for the ongoing experimental campaign on test rigs at the SUT lab in Gliwice, Poland. 

Acknowledgement: Project No. UMO-2021/43/D/ST8/02631 funded by Polish National Science Centre NCN.

References:
[1] Coulomb, D., et al. The Role of Refrigeration in the Global Economy, 29th Note on Refrigeration Technologies, IIF-IIR (2015).
[2] Chen, J, et al., Subcooling control method for the adjustable ejector in the direct expansion solar assisted ejector-compression heat pump water heater, A.P.T.E.(2019).
[3] Llopis, R., et al., Subcooling methods for CO2 refrigeration cycles: A review. I.J.R 93 (2018).
[4] Enescu, D., et al., A review on thermoelectric cooling parameters and performance. R.S.E.R (2014).
DOI: 10.17632/3sndbd4p84
title: Automated Personality Prediction

description: This is a dataset of preprocessed texts from Reddit Platform and their corresponding Big Five Scores for 1608 users of the platform with more than 27,000 comments.
DOI: 10.17632/77w6mfzwzj
title: Mexico's forest diversity: site locations for trees

description: The data are associated with the following article (please look there for all information): Ricker, M., M.Á. Castillo-Santiago, G. Gutiérrez-García, E.M. Martínez, and E. Mondragón. Dataset about Mexico’s forest diversity: site locations of tree species, wood densities, and geographic database of forest-vegetation provinces. Data in Brief. Under review (January 2024).
DOI: 10.17632/ch5fb6f9zd
title: Data for: Nearshore Bathymetry Estimation using Large-Scale Particle Image Velocimetry

description: This is a dataset used in the paper entitled "Nearshore Bathymetry Estimation using Large-Scale Particle Image Velocimetry".
These dataset were collected at Jangsa beach, located in the east coast of South Korea, during the field experiment from October 30th to November 1st, 2022.
The dataset consists of the drone-acquired wave field videos (H1.MP4, H2.MP4, H3.MP4, H4.MP4, and OV.MP4), and the ground truth data surveyed using a singlebeam echosounder (Singlebeam_UTM.csv)
DOI: 10.17632/d2b55pmjmk
title: Cyclin E/CDK2 and feedback from soluble histone protein regulate the S phase burst of histone biosynthesisCyclin E/CDK2 and feedback from soluble histone protein regulate the S phase burst of histone biosynthesis

description: Faithful DNA replication requires that cells fine-tune their histone pool in coordination with cell-cycle progression. Replication-dependent histone biosynthesis is initiated at a low level upon cell-cycle commitment, followed by a burst at the G1/S transition, but it remains unclear how exactly the cell regulates this change in histone biosynthesis as DNA replication begins. Here, we use single-cell timelapse imaging to elucidate the mechanisms by which cells modulate histone production during different phases of the cell cycle. We find that CDK2-mediated phosphorylation of NPAT at the Restriction Point triggers histone transcription, which results in a burst of histone mRNA precisely at the G1/S phase boundary. Excess soluble histone protein further modulates histone abundance by promoting the degradation of histone mRNA for the duration of S phase. Thus, cells regulate their histone production in strict coordination with cell-cycle progression by two distinct mechanisms acting in concert. Due to size limitations, representative raw images for main text figures have been included with all raw images available upon request.
DOI: 10.17632/vvtc3s8p6w
title: FLOT chemotherapy treatment affects adipocyte’s lipid metabolism: an in vitro study

description: This data was used to produce the following paper, Guerrier et al., FLOT chemotherapy treatment affects adipocyte’s lipid metabolism: an in vitro study submitted in Adipocyte Journal.
DOI: 10.6084/m9.figshare.11804124.v1
title: Japan Prefectural Socialeconomic data 2007-2015

description: This work contributed to a time-series socioeconomic features record of 47 prefectures in Japan from 2007 to 2015.<br>
DOI: 10.6084/m9.figshare.20412228.v1
title: Food neophobia predicts visual ability in the recognition of prepared food, beyond domain-general factors

description: Data for Food neophobia predicts visual ability in the recognition of prepared food, beyond domain-general factors, by Gauthier & Fiestan, submitted to Food Quality and Preferences, revision on Aug 1, 2022
DOI: 10.17632/mpbbksz2t7
title: Berry: A code for the differentiation of Bloch wavefunctions from DFT calculations

description: Density functional calculation of electronic structures of materials is one of the most used techniques in theoretical solid state physics. These calculations retrieve single electron wavefunctions and their eigenenergies. The berry suite of programs amplifies the usefulness of DFT by ordering the eigenstates in analytic bands, allowing the differentiation of the wavefunctions in reciprocal space. It can then calculate Berry connections and curvatures and the second harmonic generation conductivity. The berry software is implemented for two dimensional materials and was tested in hBN and InSe. In the near future, more properties and functionalities are expected to be added.
DOI: 10.17632/6gpn6xsd5b
title: Dataset of Forest Area and Carbon Stocks in Southeast Asia 2000-2030

description: This dataset contains areas of natural and plantation forests, carbon stocks, carbon emissions, emission reductions, and removals in Southeast Asia between 2000 and 2030. It is available in excel format suitable educational, capacity building, and training purposes. Natural forests contain production forest and protection forest, while plantation forests contain fast-growing and slow-growing plantation forests. Data of carbon stocks, timber production, carbon loss or gains, emission reductions, and carbon revenues are available year by year from 2000 and 2030. Data on annual timber production, carbon stocks and carbon removals affected by two clear-cut systems in plantation forests are useful for understanding the roles of management of plantation forests for timber and carbon purposes. Carbon emission reductions due to the implementation of the REDD+ activities could be used to analyse the effects of REDD+ activities on carbon emission reductions and removals in natural and plantation forests in Southeast Asia. Value of the Data • The REDD+ scheme of the United Nations Framework Convention on Climate Change requires that carbon emissions, emission reductions or removals from deforestation and forest degradation, through conservation of forests, sustainable management of forests, and enhancement of forest carbon stocks be monitored, measured, reported, and verified. These data are important for these purposes for policy makers as well as scientific communities and college students. • Students, researchers, policy makers, NGOs, media outlets will find these data useful in many ways depending on their interests. • These data might be used for understanding the current carbon stocks in the standing forests in Southeast Asia, carbon emissions due to deforestation and logging, potential carbon emission reductions when the REDD+ activities are implemented, and to test the effects of different carbon prices on carbon revenues from reducing deforestation and forest degradation, and from planting the new trees on a regional scale. Paper describing the detailed methodologies can be found at https://doi.org/10.1016/j.jclepro.2021.127728
DOI: 10.17632/m9t24k36rc
title: Data for: Deep neural network based prediction of burst parameters for Zircaloy-4 fuel cladding during loss-of-coolant accident

description: This is database of single-tube burst tests conducted on unirradiated Zircaloy-4 cladding tubes under simulated loss-of-coolant transients. This database was used for developing Deep neural network model to prediction burst parameters for Zircaloy-4 fuel cladding during loss-of-coolant accident.
DOI: 10.17632/phfjj4sd5p
title: Diatom-induced calcification in coastal marine environments: Biomineralization threshold and mechanism

description: Data for the analyses presented in the study, Diatom-induced calcification in coastal marine environments: Biomineralization threshold and mechanism.
DOI: 10.17632/s9rx4myvnn
title: Treatment of Pediatric Alopecia Areata: A Systematic Review

description: Background: Alopecia areata (AA) is an autoimmune, non-scarring hair loss disorder with slightly greater prevalence in children than adults. Various treatment modalities exist; however, their evidence in pediatric AA patients is lacking. Methods: We conducted a systematic review on the PubMed database in October 2019 for all published articles involving patients &lt;18 years old. Articles discussing AA treatment in pediatric patients, and both pediatric and adult patients, were included if individual data on pediatric patients was available. Results: 122 total reports discussing 1,032 patients met inclusion criteria. Reports consisted of two randomized controlled trials, four prospective comparative cohorts, 83 case series, two case-control studies, and 31 case reports. Included articles assessed the use of aloe, apremilast, anthralin, anti-IFN gamma antibodies, botulinum toxin, corticosteroids, contact immunotherapies, cryotherapy, hydroxychloroquine, hypnotherapy, imiquimod, JAK inhibitors, laser and light therapy, methotrexate, minoxidil, phototherapy, psychotherapy, prostaglandin analogs, sulfasalazine, topical calcineurin inhibitors, topical nitrogen mustard, and ustekinumab. Conclusion: Topical corticosteroids are the preferred first-line treatment for pediatric AA, as they hold the highest level of evidence, followed by contact immunotherapy. More clinical trials and comparative studies are needed to further guide management of pediatric AA, and to promote potential use of pre-existing, low-cost, and novel therapies, including JAK inhibitors.
DOI: 10.17632/tyfrck3p22
title: Data for: Data-Driven Feedforward Tuning using Non-Causal Rational Basis Functions: with Application to an Industrial Flatbed Printer

description: Simulative demonstration of data-driven feedforward tuning using non-causal rational orthormal basis functions, see [1]. Procedure 1 of [1] is implemented and applied simulations to a model of an industrial flatbed printer. REFERENCE: [1] Lennart Blanken, Sjirk Koekebakker, Tom Oomen, "Data-Driven Feedforward Tuning using Non-Causal Rational Basis Functions: with Application to an Industrial Flatbed Printer". Submitted to IFAC Mechatronics, 2020. AUTHOR: Lennart Blanken DATE: 04 May 2020 Copyright (c) Lennart Blanken. All rights reserved.
DOI: 10.6084/m9.figshare.11878182.v8
title: DataInBrief: data used to generate Principal Component Analyses (PCA) Plots

description: Data used to generate PCA plots of 1) DNA in water (summer) and sediment based on normalized taxonomic read counts; and 2) DNA and RNA present in summer water and sediment based on normalized counts of all functionally annotated genes from the metagenomic assembly. <br>
DOI: 10.6084/m9.figshare.1373869.v2
title: Topology Analysis of Social Networks Extracted from Literature

description: In a world where complex networks are an increasingly important part of science, it is interesting to question how the new reading of social realities they provide applies to our cultural background and in particular, popular culture. Are authors of successful novels able to reproduce social networks faithful to the ones found in reality? Is there any common trend connecting an author's oeuvre, or a genre of fiction? Such an analysis could provide new insight on how we, as a culture, perceive human interactions and consume media. The purpose of the work presented in this paper is to define the signature of a novel's story based on the topological analysis of its social network of characters. For this purpose, an automated tool was built that analyses the dialogs in novels, identifies characters and computes their relationships in a time-dependent manner in order to assess the network's evolution over the course of the story.
DOI: 10.17632/zppknydj36
title: Data for: Data set of MAPLE Parameters for Hemoglobin Deposition upon long period gratings

description: The materials include the Explanatory text, the figures as well as the Excel data for the figures in the text.
DOI: 10.6084/m9.figshare.29135468.v1
title: Data for "Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis"

description: This dataset is referenced by DOI https://doi.org/10.5121/csit.2025.150903 accessible at https://aircconline.com/csit/papers/vol15/csit150903.pdf and follows the steps for calculating sample size and is the concatenated dataset of benchmarks that have sampled the minimal rows for statistical significance of said calculations in differences between datasets, with all assumptions noted in the paper.
DOI: 10.17632/4cs37rh3ph
title: Motivations to use vehicle-to-grid (V2G) charging stations for electric vehicles, 2021

description: Results of a study conducted within the Horizon 2020 project, ebalance-plus: Energy balancing and resilience solutions to unlock flexibility and increase market options for distribution grid. The survey was conducted in December 2021 on a sample of 4,000 individuals in four countries: France, Italy, Denmark and Spain (1,000 in each). The survey was conducted in the form of a self-completed online questionnaire (computer-assisted web interview) and covered topics related to household electricity use, evaluation of the user interfaces of energy management devices and electric vehicle charging systems, evaluation of messages that build energy literacy, and evaluation of the V2G charging concept. The study sample comprised adults (mean age: 43) who are responsible for paying electric bills or purchasing electrical appliances for their homes, and who use smartphones daily. The sample was gender balanced and stratified by age, city size, region, and education level. 

This research is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No.864283.
DOI: 10.17632/tzxtm6ys99
title: The Use of Asset Growth in Empirical Asset Pricing Models

description: Data and code needed to replicate results in "The Use of Asset Growth in Empirical Asset Pricing Models" by Cooper, Gulen, and Ion
DOI: 10.17632/ykvcrjffzd
title: Image Dataset for Bean and Cowpea Plant Leaf Disease Detection and Freshness Assessment from Bangladesh

description: Dataset Sample Distribution:
Bean:
Blight - 510
Mosaic Virus - 562
Rust - 568 
Fresh Leaf-554

Cowpea:
Bacterial wilt-581
Mosaic virus-579
Septoria leaf spot-577
Fresh leaf-536
DOI: 10.17632/467jx6v8ph
title: Data for: Revisiting the Argus Pulsejet Engine of V-1 Buzz Bombs: An Experimental Investigation of the First Mass-produced Pressure Gain Combustion Device

description: The two videos were taken at 1000 fps using two time-synced Phantom v1610 cameras.
DOI: 10.17632/8ftcj8bp2g
title: CFTR modulator therapy impacts neutrophil CD39 expression in cystic fibrosis - Supplemental Data and Methodology

description: Cystic fibrosis (CF) is an autosomal recessive disease caused by mutations in the gene encoding the cystic fibrosis transmembrane conductance regulator (CFTR) anion channel. Levels of eATP are tightly regulated through direct hydrolysis via the action of cell surface ectonucleotidases including CD39, however, a role for CD39 as an influencer of inflammation in CF is underexplored. 
In the present study we sought to evaluate the impact of CFTR modulator therapy on eATP levels and CD39 expression. Detailed protocols of this study are outlined in the online Supplementary Methodology File. A flow chart of patients' samples processed and experiments analysed is presented in Supplementary Data File (Supplemental Figure 1). 
To understand the basis for increased eATP release by CF neutrophils, we assessed membrane CD39 levels. 
Prompted by results suggesting cleavage of membrane CD39 from CF neutrophils, we investigated the protease involved in CD39 release. In light of previous published findings of increased release of neutrophil elastase (NE) by CF neutrophils, we hypothesized that NE may cleave CD39, an effect potentially abated by inclusion of the NE inhibitor, alpha-1 antitrypsin (AAT). In support of this theory, recombinant NE cleaved CD39 from healthy control cells in vitro (Supplemental Figure 2). 
This study concludes by stating that extracellular nucleotides were previously detected in sputum and BAL fluid of patients with CF, and in the current study correlated with sputum neutrophil counts. In the current study apparent proteolytic cleavage decreased membrane expression of CD39. Accordingly, sCD39 was detected in CF airway and plasma samples.
DOI: 10.17632/dr5d8mzzr4
title: Master Thesis dataset

description: This dataset is used in Master thesis on topic "The impact of upholding environmental, social and governance principles on the market value of capital-intensive companies". The full dataset consits data on Public american companies included in S&P 500 index, traded on the New York Stock Exchange. There are data on ESG-score and its components (E, S, G), as well as components of Envitonmental pillar score. Additionaly dataset includes financial data, like market capitalization, leverage, ROCE, Capex and etc. The main sources of data are Thomson Reuters Eikon and Bloomberg terminals, along with Form 10-k by SEC. The final sample consists of 52 capital-intensive companies, time horizon: 2012-2021 [520 observations in total].