cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tc3k946t57.2
title: Modelling a Gas Lift Design using Prosper Software

description: In the global oil and gas industry, artificial lift systems play a pivotal role in sustaining and enhancing production from wells that lack the intrinsic pressure to bring liquids to the surface. This research delves into the significance of artificial lift methods, particularly gas lift systems, as a prevalent technology for improving oil recovery. The gas lift approach entails injecting gas into the well to reduce the average fluid density originating from the reservoir, thereby lightening the fluid column and allowing lower reservoir pressures to convey fluids to the surface. The ultimate objective is to design a gas lift system that not only optimizes current production but also anticipates and mitigates adverse conditions predicted by reservoir forecasts. This paper highlights the importance of efficient drilling and the mitigation of friction and viscous forces in oil exploration. Frictional power losses are a common challenge in deep well systems, necessitating a meticulous evaluation of each component in the well system to pinpoint pressure loss locations. Nodal Analysis, coupled with the advanced capabilities of PROSPER software for well performance, design, and optimization, is employed as a key tool in this research. The utilization of artificial lifts to mitigate frictional power losses is thoroughly explored, demonstrating their potential to revolutionize production efficiency in the oil and gas sector. This research contributes to the ongoing efforts to enhance oil recovery through innovative engineering solutions and highlights the critical role of gas lift systems in meeting the industry's ever-evolving challenges.

Introduction:
The global oil and gas industry heavily relies on artificial lift systems to boost production from wells unable to self-sufficiently transport liquids to the surface. Among these artificial lift methods, gas lift systems stand out as a widely employed technology for enhancing oil recovery. This section provides an overview of the necessity of artificial lift systems and introduces the gas lift method as a promising solution. The research's objectives and contributions are also outlined.

Gas Lift Systems for Enhanced Oil Recovery:
This section delves into the gas lift method in detail, explaining the principles behind it and how it aids in lowering the average fluid density within the reservoir. The interplay between gas injection and reservoir pressure is elucidated to underscore the mechanism of gas lift systems in facilitating fluid transport to the surface.

Challenges in Oil Exploration:
Efficient drilling and the mitigation of friction and viscous forces are imperative in oil exploration. This section explores the challenges posed by frictional power losses in deep well systems and highlights the need for a comprehensive evaluation of pressure loss locations within the well system.
DOI: 10.17632/tygc9g8jzx.1
title: Metro air valve state dataset for machine learning monitoring and diagnosis

description: The Images were collected and shot in Jinan Metro, China from May 2022 to August 2022, and then obtained by video frame processing. After various image processing such as LBP changes, a rich data set is constructed. The wind valve state is divided into three states: full open, full closed, half open and half closed. The data set consists of multiple folders, consisting of the original images and data after the image processing process. One full-state data image is stored for each folder. The authors confirmed the usability of this dataset through previous studies and took data classification methods to obtain some data results. This data can help people studying deep learning and smart subways.
DOI: 10.17632/tygc9g8jzx.2
title: Metro air valve state dataset for machine learning monitoring and diagnosis

description: The Images were collected and shot in Jinan Metro, China from May 2022 to August 2022, and then obtained by video frame processing. After various image processing such as LBP changes, a rich data set is constructed. The wind valve state is divided into three states: full open, full closed, half open and half closed. The data set consists of multiple folders, consisting of the original images and data after the image processing process. One full-state data image is stored for each folder. The authors confirmed the usability of this dataset through previous studies and took data classification methods to obtain some data results. This data can help people studying deep learning and smart subways.
DOI: 10.17632/tygc9g8jzx.3
title: Metro air valve state dataset for machine learning monitoring 

description: The Images were collected and shot in Jinan Metro, China from May 2022 to August 2023, and then obtained by video frame processing. After various image processing such as LBP changes, a rich data set is constructed. The wind valve state is divided into three states: full open, full closed, half open and half closed. The data set consists of multiple folders, consisting of the original images and data after the image processing process.
DOI: 10.17632/tygc9g8jzx.4
title: Metro air valve state dataset for machine learning monitoring 

description: The Images were collected and shot in Jinan Metro, China from May 2022 to August 2023, and then obtained by video frame processing. After various image processing such as LBP changes, a rich data set is constructed. The wind valve state is divided into three states: full open, full closed, half open and half closed. The data set consists of multiple folders, consisting of the original images and data after the image processing process.
DOI: 10.17632/vsfd53v549.1
title: Dataset of metabolomics of orange peel encapsulated extracts using maltodextrin, waxy starch and gum Arabic as coating materials

description: This dataset focuses on the evaluation of encapsulation efficiency of three types of coating materials, including gum Arabic, maltodextrin and waxy starch, on the phenolic content of orange peel extract. Analysis was done using a quadrupole time-of-flight (QTOF) mass spectrometer (MS) connected to a Waters Acquity ultra-performance liquid chromatograph (UPLC).
DOI: 10.17632/bsn4vh3zv7.1
title: Performance Evaluation Results of evolutionary clustering algorithm star for clustering heterogeneous datasets

description: The data was collected from the written Java codes by the authors, and Weka packages for executing ECA* on 32 heterogenous and multi-featured datasets against its counterpart algorithms (KM, KM++, EM, LVQ, and GENCLUST++). Each of these algorithms was run thirty times on each of the 32 benchmarking dataset problems to evaluate the performance of each of them in three tests. First, evaluating the performance of ECA* against its counterpart algorithms using internal and external measuring criteria. Second, analysing the statistical performance of ECA* compare to its counterpart algorithms based on their best solution (best), the worst solution (worst), and the mean solution (average) for intraCluster distance, interCluster distance, and execution time. Final, proposing a performance framework to investigate how sensitive the performance of these algorithms on different dataset features, such as cluster overlap, number of clusters, cluster dimensionality, and cluster structure, and cluster shape.
DOI: 10.17632/bsn4vh3zv7.2
title: Custering Results of evolutionary clustering algorithm star for clustering heterogeneous datasets

description: The data was collected from the written Java codes by the authors, and Weka packages for executing ECA* on 32 heterogenous and multi-featured datasets against its counterpart algorithms (KM, KM++, EM, LVQ, and GENCLUST++). Each of these algorithms was run thirty times on each of the 32 benchmarking dataset problems to evaluate the performance of ECA* against its competitve algorithms.
DOI: 10.17632/bsn4vh3zv7.3
title: Clustering results of evolutionary clustering algorithm star for clustering heterogeneous datasets

description: The data was collected from the written Java codes by the authors, and Weka packages for executing ECA* on 32 heterogenous and multi-featured datasets against its counterpart algorithms (KM, KM++, EM, LVQ, and GENCLUST++). Each of these algorithms was run thirty times on each of the 32 benchmarking dataset problems to evaluate the performance of ECA* against its competitve algorithms.
DOI: 10.17632/3jmfp2d9z4.1
title: Functionalization of Mesoporous Silica with Oligoisoprene Brushes: Application as Charge for Elastomers Reinforcement 

description: The interfacial interaction between mesoporous silica nanoparticles (MSN) and natural rubber was successfully improved by surface modification of hydrophilic silica using oligoisoprene brushes. This approach involved grafting 3-aminopropyltriethoxy silane (APTES) onto the silica surface, achieving a grafting efficiency of 13.22% and generating amine groups. The long polyisoprene chains of natural rubber were selectively cleaved using an optimized oxidative reaction, resulting in the formation of short oligomers with carbonyl chain ends known as Carbonyl Telechelic Natural Rubber (CTNR), having a molecular weight of 4100 g/mol. The CTNR oligomers were subsequently linked to APTES-modified silica via a Schiff's base reaction, imparting hydrophobicity to the silica surface and enhancing its compatibility and dispersion within the natural rubber matrix. Two conditions, MSN@CTNR1 and MSN@CTNR2, were investigated, exhibiting grafting efficiencies of 10.66% and 4.70%, respectively. The functionalized silica particles from MSN@CTNR1 were examined and incorporated at varying proportions into rubber latex, leading to the formation of thin films. Remarkably, films containing 1 part per hundred rubber (phr) functionalized silica had better mechanical and thermal properties than films containing unmodified silica. This study underscores the potential of MSN, whose surfaces are modified by grafting oligoisoprene brushes, to enhance the crosslinking points and serve as innovative additives in the formulation of composite rubber films. Furthermore, these findings highlight the prospects of utilizing modified silica nanoparticles as coating additive materials, enabling the enhancement of properties and performance in rubber-based composites, thereby paving the way for the development of advanced coating applications in diverse industries. The data reported here concern BET and SEM characterization of the mesoporous silica particles.
DOI: 10.17632/2wg6m397dt.2
title: Replication Package for “Do the Rich Gamble in the Stock Market? Low Risk Anomalies and Wealthy Households”

description: Replication Package for the paper “Do the Rich Gamble in the Stock Market? Low Risk Anomalies and Wealthy Households” by Turan G. Bali, A. Doruk Gunaydin, Thomas Jansson, and Yigitcan Karabulut. 

Abstract of the paper:

Contrary to the theoretical principle that higher risk is compensated with higher expected return, the literature shows that low-risk stocks outperform high-risk stocks. Using a large-scale household dataset, we provide an explanation for this puzzling result that the anomalous negative risk-return relation is only confined to those stocks predominantly held by rich households, whereas the anomaly disappears for stocks held by non-rich households and institutional investors. We find that social status concern of rich households and the induced lottery preference explain wealthy investors’ demand for high-risk stocks, leading to overpricing and low future returns for such stocks.

The full paper can be found at https://papers.ssrn.com/sol3/Papers.cfm?abstract_id=3664501.
DOI: 10.17632/2wg6m397dt.3
title: Replication Package for “Do the Rich Gamble in the Stock Market? Low Risk Anomalies and Wealthy Households”

description: Replication Package for the paper “Do the Rich Gamble in the Stock Market? Low Risk Anomalies and Wealthy Households” by Turan G. Bali, A. Doruk Gunaydin, Thomas Jansson, and Yigitcan Karabulut. 

Abstract of the paper:

Contrary to the theoretical principle that higher risk is compensated with higher expected return, the literature shows that low-risk stocks outperform high-risk stocks. Using a large-scale household dataset, we provide an explanation for this puzzling result that the anomalous negative risk-return relation is only confined to those stocks predominantly held by rich households, whereas the anomaly disappears for stocks held by non-rich households and institutional investors. We find that social status concern of rich households and the induced lottery preference explain wealthy investors’ demand for high-risk stocks, leading to overpricing and low future returns for such stocks.

The full paper can be found at https://papers.ssrn.com/sol3/Papers.cfm?abstract_id=3664501.
DOI: 10.17632/hgbmw7gj5v.1
title: Medicine food homologous herbs for preventing autism-like behaviors in adult offspring based on comprehensive bioinformatics analysis

description: Supplementary files
DOI: 10.17632/hgbmw7gj5v.2
title: Medicine food homologous herbs for preventing autism-like behaviors in adult offspring based on comprehensive bioinformatics analysis

description: Supplementary files
DOI: 10.17632/dswvww87xr.1
title: Margaret_data_example

description: We've uploaded the output Excel file generated by the Margaret package to Mendeley Data Services. The file contains 51 sheets, each focusing on a different type of research output such as publications, student theses, and software. This data serves as a practical example of Margaret's capabilities in extracting and organizing a wide array of research metrics.
DOI: 10.17632/dh7s4pc2hk.1
title: Racial and Ethnic Disparities in Healthcare Access and Utilization among Actinic Keratosis Patients: An Analysis from the NIH ‘All of US’ Research Program 

description: In this article, we investigate potential disparities in healthcare access and utilization among actinic keratosis (AK) patients, with a focus on racial and ethnic differences. Utilizing data from the NIH’s “All of Us” Research program, the study identifies patterns in socioeconomic factors and healthcare usage among AK-diagnosed individuals.
DOI: 10.17632/dh7s4pc2hk.2
title: Racial and Ethnic Disparities in Healthcare Access and Utilization among Actinic Keratosis Patients: An Analysis from the NIH ‘All of US’ Research Program 

description: In this article, we investigate potential disparities in healthcare access and utilization among actinic keratosis (AK) patients, with a focus on racial and ethnic differences. Utilizing data from the NIH’s “All of Us” Research program, the study identifies patterns in socioeconomic factors and healthcare usage among AK-diagnosed individuals.
DOI: 10.17632/gx2pdpts36.1
title: Сочетанное применение эритропоэтина и препаратов железа для коррекции постгеморрагической анемии у родильниц: систематический обзор и метаанализ

description: АКТУАЛЬНОСТЬ: Относительно эффективности эритропоэтина в сочетании с пероральной ферротерапией для коррекции послеродовой анемии имеются ограниченные данные. ЦЕЛЬ ИССЛЕДОВАНИЯ: Оценить эффективность эритропоэтина в сочетании с пероральными добавками железа по сравнению с пероральной ферротерапией у родильниц, перенесших послеродовое кровотечение. МАТЕРИАЛЫ И МЕТОДЫ: В MEDLINE, Scopus, EBSCOhost и 5 других базах (с января 1980 г. по февраль 2023 г) проведен поиск статей о применении пероральных препаратов железа в комбинации с эритропоэтином и без него для лечения постгеморрагической анемии у родильниц. Первичные конечные точки: уровень гемоглобина, прирост гемоглобина, гематокрит, число гемотрансфузий, вторичные: уровень ферритина, сывороточного железа, способность к лактации. Анализ выполнен в соответствии с руководством PRISMA, 2020. РЕЗУЛЬТАТЫ: Проанализировано 4 исследования, 198 женщин. При использовании эритропоэтина в сочетании с пероральной ферротерапией  накопленное значение прироста концентрации гемоглобина через 5 дней, 2 недели от начала лечения значимо выше по сравнению с контролем (MD: 11,83 г/л, 95% ДИ: от 4,43 до 19,23, P = 0,002; MD: 10,13 г/л, 95% ДИ: от 4,97 до 15,29, P = 0,0001) соответственно. Накопленное среднее значение концентрации гемоглобина через 40 дней значимо выше в группе эритропоэтина (MD: 11,00 г/л, 95% ДИ: от 1,70 до 20,30, P = 0,02). Накопленное среднее значение гематокрита через 2 недели значимо выше в группе эритропоэтина (MD: 3,35%, 95% ДИ: от 0,31 до 6,39), P = 0,03). Применение эритропоэтина в комбинации с пероральной ферротерапией снижает вероятность гемотрансфузии (RR = 0,12, 95% ДИ от 0,02 до 0,95, P = 0,04). ВЫВОДЫ: Показан более быстрый гематологический ответ при сочетанном применении эритропоэтина с пероральной ферротерапией по сравнению с монотерапией препаратами железа при коррекции постгеморрагической анемии у родильниц. Требуются дальнейшие исследования с достаточными объемами выборок.

КЛЮЧЕВЫЕ СЛОВА: послеродовый период, железодефицитная анемия, препараты железа, эритропоэтин, гемотрансфузия, систематический обзор, метаанализ.

Дополнительные данные (таблицы, рисунки, файлы) к статье "Сочетанное применение эритропоэтина и препаратов железа для коррекции постгеморрагической анемии у родильниц: систематический обзор и метаанализ"
Supplementary data (tables, figures, files) to the article "The combined use of erythropoietin and iron preparations for the correction of postpartum anemia: a systematic review and meta-analysis"
DOI: 10.17632/rss8dwz694.1
title: Data Depository

description: The following data include ENVI-met simulation files, the resulting data (in excel sheets), as well as the visualization of such results (jpg).
DOI: 10.17632/snr5gr9khn.1
title: Dataset Analysis of Factors Affecting Lending Patterns in Scheduled Commercial Banks under the CGTSME Scheme: An Empirical Study Integrating the Theory of Planned Behaviour.

description: This study presented a dataset analysis focused on understanding the factors that had influenced lending patterns in scheduled commercial banks under the Credit Guarantee Fund Trust for Micro and Small Enterprises (CGTSME) Scheme.
DOI: 10.17632/9jhfh79b8d.1
title: Supplemental Material: Allele-specific expression reveals genetic drivers of tissue regeneration in mice

description: In adult mammals, skin wounds typically heal by scarring rather than through regeneration. In contrast, “super-healer” MRL mice have the unusual ability to regenerate ear punch wounds, yet the molecular basis for this regeneration remains elusive. Here, in hybrid crosses between MRL and non-regenerating mice, we use allele-specific gene expression to identify cis-regulatory variation associated with ear regeneration. Analyzing three major wound cell populations, we identified extensive strain- and tissue- specific cis-regulatory divergence associated with differences in healing outcomes. Genes with cis-regulatory differences specifically in fibroblasts were associated with wound healing phenotypes and pathways, and were enriched near genetic markers associated with ear-healing in a genetic cross. We further demonstrated that one of these genes, CFH, could be applied ectopically to accelerate wound repair and induce regeneration in typically fibrotic wounds. Through single-cell RNA-seq, we observed that CFH treatment strongly dramatically reduced immune cell recruitment to wounds, suggesting a potential mechanism for CFH’s effect. In support of this, CFH strongly down-regulated the neutrophil chemoattractant CXCL2, and chemical inhibition of CXCL2’s receptor in dorsal wounds mimicked the regenerative phenotype of MRL ear wounds. Overall, our results provide insight into the molecular drivers of regeneration in MRL mice with potential clinical implications.
DOI: 10.17632/s363nbnxn6.1
title: Slurry Acidification as a Solution to Minimize Ammonia Emissions from the Combined Application of Animal Manure and Synthetic Fertilizer in No-Tillage

description: dataset used in the article
DOI: 10.17632/3styfk7nmw.1
title: O Repertório Vegetal do Horto Oswaldo Cruz (1917-1924)

description: Data for: The Vegetable Repertoire of Horto Oswaldo Cruz (1917-1924)
Description:These are the raw data collected from the plant repertoire of Horto Oswaldo Cruz between 1917 and 1924.

Data for: O Repertório Vegetal do Horto Oswaldo Cruz (1917-1924)
Descrição: Neste DataSet estão compiladas as informações a respeito do repetório vegetal do Horto Oswaldo Cruz no período de 1917 a 1924. 
As espécies listadas são resultado de cruzamentos feitos entre os dados de fontes documentais primárias, de autoria de Frederico Carlos Hoehne, referentes ao período citado acima.

Os dados levantados foram sistematizados em dois momentos: dados coletados nas fontes primárias (transcritos exatamente com encontrados nas fontes de origem, datadas de 1917 a 1925), e dados atualizados (alterações feitas na nomenclatura botânica, ao longo do tempo, entre outras informações datadas de 2023).
No primeiro momento (1917-1925) foram levantados: (i) família; (ii) nome científico; (iii) nome popular; (iv) código da espécie na fonte de origem; (v) título da fonte de origem; (vi) ano da fonte de origem; (vii) página em que a espécie é encontrada na fonte de origem; (viii) autor da fonte de origem e (ix) local em que a fonte de origem pode ser obtida.
No segundo momento (2023) foram levantados: (i) família botânica; (ii) nome científico atual; (iii) status do nome científico; (iv) nome popular; (v) origem da espécie; (vi) ocorrência; (vii) domínio fitogeográficos; (viii) forma de vida; (ix) fonte dos dados atualizados (x) site em que os dados atualizados foram coletados. 

Para utilizar o DataSet é só realizar o download da planilha.

OBS. Este material esta atrelado à dissertação intitulada "Frederico Carlos Hoehne e o Horto Oswaldo Cruz (1917-1924)", desenvolvida por Jessica Rodrigues Tiseo.
DOI: 10.17632/95fjn92m9m.1
title: Dairy Slurry Application to Stubble-Covered Soil: A Study on Sustainable Alternatives to Minimize Gaseous Emissions

description: Dataset used in the article
DOI: 10.17632/wmbknr4rm4.1
title: Exploring the Impact of Heat Stress on Oocyte Maturation and Embryo Development in Dairy Cattle Using a Controlled and Defined Culture Medium supplemented with Vitamins E, C, and Coenzyme Q10

description: The data presents a raw information of the experiment performed on the effects of vit E, vit C, and coenzyme Q10 on IVM and IVF of dairy cattle under summer heat stress.
DOI: 10.17632/pz525x2dcs.1
title: Oil Shocks Greasing the Wheels of Islamic Stocks: An Explorative  Forecasting Analysis

description: This paper examines the relationship between Islamic finance and oil shocks by decomposing oil price into demand, supply, and risk shocks. This paper’s distinguishing feature lies in assessing the forecasting prowess of —in-and-out-of-sample—oil shocks on Islamic finance. Using pooled data from the Dow Jones regional Islamic finance indices across regions (Emerging economies, Europe, Asia-Pacific, and the world), our results reveal that the three variants of shocks are significant determinants of Islamic finance returns. We also show that the shocks can forecast stock returns, though this forecasting ability is weak for the European market. Accounting for the influence of some macroeconomic fundamentals improves the forecasting prowess of the model and allows for successful robustness checks. The policy implication of the result is that investors and related shareholders in the Islamic financial markets should necessarily consider the divergent activities in the oil market while making portfolio design decisions. We are also of the view that future studies could consider replicating the analytical construct and hypothesis of this paper on a country-level and probably at the sectoral level.
DOI: 10.17632/tt328cbvmw.1
title: Osmia bee dataset_23

description: This dataset contains the preprocessed data for the optical multi-band polarimetric modulation sensing for the identification of gender and species of native solitary pollinators in flight. The dataset includes the Degree of Linear Polarization (DoLP), the Intensity of the insect body, and the wingbeat power spectra for all six categories at three wavelengths.