cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z6fjtbrtn5.1
title: Metabolomic profiling of human bronchial/tracheal epithelial cells (hBTECs) after H1N1 infection

description: In previous studies, we have shown the critical role played by lipogenesis pathways in the life cycles of viruses. Building on this line of investigation, we sought to investigate the relevance of this pathway in the context of influenza A H1N1 virus (pdm09) infection, using human bronchial and tracheal epithelial cells (hBTECs) as our model system. To this end, we conducted targeted quantitation of polar metabolites in these cells. Our findings revealed that host glucose metabolism is a commonly affected pathway in response to viral infection. These results provide further evidence of the significance of metabolic pathways in the host-virus interaction and offer new insights into the molecular mechanisms underlying viral pathogenesis.

To prepare for virus infection, 1E7 human brain microvascular endothelial cells (hBTECs) were seeded in a 10cm dish one day prior to the experiment. On day 1, the cells were infected with H1N1 virus at a multiplicity of infection (MOI) of either 0 or 5. After 24 hours, cell lysates were harvested and subjected to targeted metabolomics analysis using LC-MS/MS. Each treatment was repeated three times (n=3). A heatmap and log2-fold change (Log2FC) of metabolites were generated to compare the infection and non-infection groups. Metabolite set enrichment analysis was performed to identify the top 25 enriched pathways upon H1N1 infection. The analysis was conducted using the powerful MetaboAnalyst 5.0 software. The results were normalized based on cell number. Unpaired Student's t-test was employed to perform statistical analysis of the data. This study provides valuable insights into the metabolic response of hBTECs to H1N1 infection and sheds light on potential therapeutic targets for this viral infection.
DOI: 10.17632/dvpwx4634t.1
title: Data from three experiments investigating reciprocal SNARC effects with vocal responses

description: This data set contains the raw data files from three experiments reported in: Richter, M. & Wühr, P. (2024). The reciprocity of spatial-numerical associations of vocal response codes depends on stimulus mode. Memory & Cognition (volume and pages yet unknown). Here is the abstract of the paper: Individuals make faster left responses to small/er numbers and faster right responses to large/r numbers than vice versa. This “spatial-numerical association of response codes” (SNARC) effect represents evidence for an overlap between the cognitive representations of number and space. Theories of the SNARC effect differ in whether they predict bidirectional S-R associations between number and space or not. We investigated the reciprocity of S-R priming effects between number and location in three experiments with vocal responses. In Experiments 1 and 2, participants completed a number-location task with digits as stimuli and location words as responses, and a location-number task with physical locations as stimuli and number words as responses. In addition, we varied the S-R mapping in each task. Results revealed a strong SNARC effect in the number-location task, but no reciprocal SNARC effect in the location-number task. In Experiment 3, we replaced physical location stimuli by location words and digit stimuli by number words. Results revealed a regular and a reciprocal SNARC effect of similar size. Reciprocal SNARC effects thus seem to emerge with verbal location stimuli and vocal responses, but not with physical location stimuli and vocal responses. The S-R associations underlying the SNARC effect for vocal responses thus appear bidirectional and symmetrical for some combinations of stimulus and response sets, but not for others. This has implications for theoretical accounts of the SNARC effect which need to explain how stimulus mode affects the emergence of reciprocal but not regular SNARC effects.
DOI: 10.17632/cstwjgtxfd.1
title: Ovis-Aries: A Sheep Breed Image Dataset

description: This dataset encompasses a range of low-resolution images featuring four globally recognized sheep breeds. These breeds were thoughtfully selected from various regions worldwide to ensure a diverse and comprehensive representation. The dataset serves as a visual reservoir, providing a detailed portrayal of the distinctive characteristics of these sheep breeds, thereby aiding in their precise classification. It comprises four distinct categories: Marino, Poll Dorset, Suffolk, and White Suffolk, totaling 1680 original JPG images (with 420 images in each category). The dataset is structured into two variations: one containing original images and another with resized images. The original image dataset has a dimension of 156X181 pixels, while the resized version is set at 224x224 pixels.
These images were captured by an installed system at Kingston Rest, a commercial sheep-producing farm in the South-West of Western Australia. The farm visit occurred on May 2nd, 2018, during the autumn season, from 10:00 am to 1:00 pm. The weather conditions were partly cloudy with light intermittent showers, and the average temperature was 15.6 °C. A GoPro Hero5 camera (model: GPCHDHX-502) was utilized to capture images of different sheep breeds. This particular camera model was chosen for its waterproof, rugged design, and its ability to withstand vibrations caused by the drafting machines.
DOI: 10.17632/gfgkk5jyg7.1
title: Assessing the causal effects of primary aldosteronism and sleep apnoea: a bidirectional Mendelian Randomisation Study-supplementary materials

description: Assessing the causal effects of primary aldosteronism and sleep apnoea: a bidirectional Mendelian Randomisation Study-supplementary materials
DOI: 10.17632/5z6cjhtfth.1
title: Metabolomic profile of H1N1-infected human lung epithelial A549 cell after mannose treatment via 13C MFA

description: To further confirm if mannose inhibits glucose-fueled glycolysis, we conducted a 13C-labeled metabolic flux analysis (MFA) using 1,2-13C2-glucose and 13C6-mannose labeled cells, allowing for differentiation between glucose and mannose. We observed that the mannose-treated and H1N1-infected A549 cells exhibited generally lower proportions of 13C2-glucose-6-phosphate (G6P), 13C2-fructose-6-phosphate (F6P), and 13C2-lactic acid.Therefore, it is validated that mannose decreases glycolytic flow derived from glucose.To determine if mannose affects the TCA intermediates, both metabolic flux analysis and oxygen consumption rate measurement were conducted using the same experimental settings as for glycolysis analysis. We found that mannose-treated groups exhibited increased ratio of glucose-derived alpha-ketoglutarate (AKG), succinic acid, fumaric acid, and malic acid, indicating a reprograming of TCA cycle and pentose phosphate pathway.

To investigate the impact of mannose on glycolysis intermediates, the pentose phosphate pathway (PPP), and the tricarboxylic acid (TCA) cycle, we conducted a comprehensive metabolic labeling study using 1,2-13C2-D-glucose and 13C6-D-mannose in human lung epithelial A549 cells. The labeling allowed us to track the carbon atoms in these metabolic pathways. A549 cells were cultured with 1,2-13C2-D-glucose and 13C6-D-mannose, and then pretreated with either glucose alone or in combination with mannose (0mM, 5mM, or 25mM) for 8 hours. Subsequently, the cells were infected with H1N1 virus at a multiplicity of infection (MOI) of 5 for 24 hours post-infection. Intracellular metabolites were extracted, and the mass isotopologue distribution (MID) of these metabolites was analyzed. The isotopologue ratio of the indicated metabolites was measured and normalized to the pool of the relevant metabolite. Each treatment was repeated five times (n=5) to ensure robustness and reliability of the findings. The obtained results were normalized based on cell number. Statistical analysis was performed using one-way ANOVA with Dunnett's post-hoc test, with multiple comparisons against the H1N1-PBS group. This analysis allowed us to assess the impact of mannose treatment on the metabolic pathways of interest. These experiments provide valuable insights into the effects of glucose and mannose on glycolysis, the PPP, and the TCA cycle in the context of H1N1 infection. The results contribute to a deeper understanding of the metabolic reprogramming induced by these treatments and their potential implications for viral infections.
DOI: 10.17632/sc99dwv2v2.1
title: Govt.Comm.GenZ.Indonesia election 2024

description: Indonesian President Joko Widodo said that generation Z will transform Indonesian politics by 2045. The president's statement needs to be clarified, in which direction and with what kind of communication strategy the change in the face of politics imposed on Gen-Z will be achieved. If we want to direct the potential of Gen-Z towards a better change for the future of Indonesia, then from now on it is necessary to formulate a communication model that is adequate and in accordance with the characteristics of Gen-Z. How and with what communication strategy will this happen? This study explores the political communication strategy for Gen Z in the Indonesia 2024 election. Data were collected from interviews with Gen-Z and political party and regional KPU figures in West Java. The findings show that Gen-Z in West Java are not apolitical, but they do not use Information and Communication Technology effectively to access political information and knowledge. Political parties and the KPU have not found an adequate communication strategy to connect with Gen-Z. However, most Gen-Z in West Java will vote in the 2024 election. There is a need to bridge the gap between Gen-Z and political institutions with a suitable political communication model for Gen-Z.
DOI: 10.17632/kt3xgtcx8m.1
title: “The Cosmic Rosary: Invoking Divine Power Through Divine Names in syncretism between cultures”

description: The bar graph represents the frequency or count of different impact levels resulting from chanting the Holy Names of Jesus and Mary. Here's the interpretation:

High Impact Level: This bar indicates the count of effects that are considered to have a significant or high impact due to chanting the Holy Names of Jesus and Mary. These effects may include increased tranquility, noticeable reduction in anxiety, deeper spiritual connection, relief from stress, heightened inner peace, etc. There are a few effects that fall into this category.

Moderate Impact Level: This bar represents the count of effects that are considered to have a moderate impact resulting from chanting the Holy Names. These effects may include improved concentration, mental clarity, balanced emotional responses, sustained attention, etc. There are several effects that fall into this category.

The graph essentially provides an overview of the distribution of impact levels. It shows that there are more effects falling into the moderate impact category compared to the high impact category, showcasing a range of positive effects from chanting the Holy Names of Jesus and Mary, some more pronounced than others.
DOI: 10.17632/6vjvg6c5k6.1
title: data-unveiling-womnes-intimate-hair-removal

description: The primary aim of this study is to investigate the depilation practices pertaining to intimate areas among women in Poland. By discerning the risk factors linked to complications arising from hair removal, the study endeavors to identify individuals at an elevated risk of encountering such complications and subsequently formulate recommendations for secure grooming practices.
DOI: 10.17632/v2g4p7h4fd.1
title: Intervenciones no-farmacológicas para efectos priorizados por pacientes, de quimioterapia antineoplásica: revisión sistemática

description: Diferentes intervenciones no farmacológicas se han estudiado para manejar los síntomas derivados de la quimioterapia. Se realizo una revisión sistemática de la literatura con el objetivo de describir las intervenciones no farmacológicas para el manejo de síntomas secundarios a la quimioterapia antineoplásica en adultos. Se revisaron estudios experimentales y observacionales analíticos (2021 a 2023). La selección de estudios y extracción de datos se realizó de forma paralela. Las discrepancias se resolvieron con un tercer revisor. Se evaluó el riesgo de sesgo con las herramientas Risk Of Bias (RoB) y The Newcastle-Ottawa Scale (NOS). La síntesis de la literatura se realizó de forma descriptiva por desenlace priorizado. En esta revisión los desenlaces priorizados por pacientes y profesionales en el área de oncología fueron neutropenia, dolor, neuropatía, náuseas, vomito, alopecia, anorexia y desordenes del sueño. Se encontraron 7520 referencias, 62 incluidas para el análisis. La acupresión mostró un posible efecto en el control de síntomas como las náuseas y vomito. La intervención con frio en el cuero cabelludo mostro diferencias en los estadios de la severidad de alopecia. Las otras intervenciones mostraron heterogeneidad.
DOI: 10.17632/77zgskyj9n.1
title: Oil Price Fluctuations and Their Impact on Oil-Exporting Emerging Economies

description: ReplicationACY2023 for "Oil Price Fluctuations and Their Impact on Oil-Exporting Emerging Economies".
DOI: 10.17632/wvx2mgd4kr.1
title: Figures and Figure legends

description: Figures and Figure legends for “Neuroprotective effects of cordycepin inhibit glutamate-induced apoptosis in hippocampal neurons”
DOI: 10.17632/b3zzjf49t7.1
title: Data for Metaheuristics for the no-wait flow shop scheduling problem with single server to minimize total tardiness

description: This data set represents randomly generated instances for the problem for the flow shop scheduling problem with single server to minimize total tardiness. The folder includes two other folders, one for small and the second for large instances respectively.
DOI: 10.17632/785wkyydnn.1
title: The colostrum proteome of primiparous Holstein cows

description: This file contains the abundance of proteins on the colostrum proteome of primiparous Holstein cows
DOI: 10.17632/8mbpb6snwz.1
title: Supplementary table II - Efficacy and tolerance of dupilumab in obese patients with moderate-to-severe atopic dermatitis. Dupuis et al

description: Supplementary table II: Dupilumab dose optimization and discontinuation.
DOI: 10.17632/cyvk9t8nng.1
title: Age model and SNW-based Δ[CO32−] for Site U1490 since 5.1 Ma

description: The Integrated Ocean Drilling Program (IODP) Site U1490 is located on the northern edge of the Eauripik Rise at 05º48.95’ N, 142º39.27’ E and 2,341 m water depth. This age model was obtained by comparing the Cibicidoides wuellerstorfi δ18O (VPDB, Vienna Pee Dee Belemnite) curve and the standard LR04 stack (Lisiecki and Raymo, 2005), with additional constraints (red diamonds) based on the Brunhes normal polarity magnetozone at 9.12 m ccsf (0.781 Ma), the top and bottom of the Jaramillo Subchron at 11.75 m (0.988 Ma) and 12.70 m ccsf (1.072 Ma), and the top and bottom of the Olduvai Subchron at 21.74 m (1.788 Ma) and 25.35 m ccsf (1.945 Ma), respectively.
The deep-water Δ[CO32−] was based on a modern global SNW-Δ[CO32−] calibration for species Trilobatus sacculifer.
DOI: 10.17632/d23bwhdnkh.1
title: Supplementary table I- Efficacy and tolerance of dupilumab in obese patients with moderate-to-severe atopic dermatitis. Dupuis et al

description: Supplementary Table I: Adverse events during the follow-up period in patients treated with dupilumab.
DOI: 10.17632/fkbs9fj89m.1
title: Animal sacrifices of the Sintashta culture of the Bronze Age of the Southern Urals: archaeozoological studies of mound 33 of the Stepnoe-1 burial ground. SUPPLEMENTARY DATA

description: Supplementary data for the article about archaeozoological studies of mound 33 of the Stepnoe 1 burial ground of the Sintashta culture

The dataset 1 contains primary data, a list of pathologies and bone sizes of livestock. The dimensions of livestock bones from various Bronze Age sites in the Southern Urals are also given.
Dataset 2 contains tabular data, X-ray results of bovine metapodia, images of burial pits, a system of bone fragmentation, traditions of longitudinal splitting and modification of bones, as well as images of age-related and pathological changes in the bones of domestic animals.
DOI: 10.17632/z3pjkhdrbn.1
title: Health-related quality of life before and six months into ADT in men with metastatic prostate cancer in Enugu, southeast Nigeria

description: A hospital-based observational study assessing HRQoL in men with diagnosis of metastatic hormone-naive prostate cancer at commencement of ADT and at 6months of ADT using the FACT-P and the EQ-5D-5L questionnaires. The Ugandan Health Value Set was used to determine health value indices from the EQ-5D-5L preferences.
DOI: 10.17632/3yrg8svy8p.1
title: R2D2 TB Network Xpert HR diagnostic accuracy de-indentified data 20231215

description: This is the de-indentified data set from the R2D2 TB network for the primary analysis fform the evaluation of the Xpert MTB Host Response (Xpert HR; Cepheid, USA). The data set is to accompany the Lancet Global Health manuscript LANGLH-D-23-01115 S2214-109X(23)00541-7: Evaluation of the Xpert MTB Host Response assay for the triage of patients with presumed pulmonary tuberculosis:
a prospective diagnostic accuracy study in Viet Nam, India, the Philippines, Uganda, and South Africa.
DOI: 10.17632/6zr5mv7w22.1
title: Mycobacterial Rv1804c binds to the PEST domain of IκBα and activates Mφ-mediated proinflammatory responses in an IKKα-independent manner

description: Raw data of Western Blot and H＆E staning.
DOI: 10.17632/6zr5mv7w22.2
title: Mycobacterial Rv1804c binds to the PEST domain of IκBα and activates Mφ-mediated proinflammatory responses in an IKKα-independent manner

description: Raw data of Western Blot and H＆E staning.
DOI: 10.17632/m9777t52kc.1
title: Heat Map - Hindustan Unilever Limited (1 year data)

description: Data Reading and Preparation:

Imports the required libraries: pandas, seaborn, and matplotlib.pyplot.
Reads the CSV file containing financial data of a stock (HINDUNILVR.NS.csv) using Pandas' read_csv() function.
Selects numeric columns (excluding non-numeric) from the dataset using select_dtypes() based on the specified data types (int64 and float64).
Correlation Analysis:

Calculates the correlation matrix using the corr() function on the selected numeric columns. This matrix displays the correlation coefficients between pairs of numeric variables.
Visualization:

Generates a heatmap using Seaborn's heatmap() function to visualize the correlation matrix.
The heatmap depicts the strength and direction of relationships between the selected numeric columns using color gradients. Higher positive correlations are shown in warmer tones (e.g., red), while negative correlations are represented in cooler tones (e.g., blue). The color intensity signifies the strength of the correlation.
The annot=True parameter adds the correlation coefficient values to the heatmap cells.
The title "Correlation Between Numeric Columns" is added to the heatmap.
The resulting visualization, presented as a heatmap, offers an intuitive way to interpret and understand the relationships between different numeric variables in the financial dataset. Strong correlations (positive or negative) are highlighted, aiding in identifying potential patterns or dependencies among the variables. The numerical annotations provide exact correlation values, facilitating a more detailed analysis of the relationships within the dataset.
DOI: 10.17632/mrrx6645t2.1
title: Sun et al. Contribution of Asian dust in the Parece Vela Basin over the last 1 Ma: Implication on the climate change in East Asia

description: Geology
DOI: 10.17632/s76nh7dm4v.1
title: Dataset on Measuring the Unmeasurable Multidimensional Rural Poverty for Economic Development: Analysis from the Poorest District of the Poorest Province in the Poorest Region of Luzon, Philippines

description: The oldest societal issue that has ever been is poverty, which is also the hardest to overcome. It is both unmeasurable and multidimensional. Decomposing rural multidimensional poverty is therefore a crucial method of measurement. The majority of poverty studies are typically designed for macroeconomic considerations, are general, and are subject to significant sampling errors. Thus, measuring poverty for a specific locality with various configurations is crucial for economic development. A processed and analyzed dataset from Goa, Camarines Sur's extensive community-based monitoring system is presented in this work. The local is situated in the poorest district, of the poorest province, in the poorest region of Luzon, Philippines. Research about poverty in this area is limited and measuring poverty at specific locality is scarce. The datasets contain the multidimensional poverty indicators, health, and nutrition, housing and settlement, water and sanitation, basic education from elementary to senior high school, income classifications, employment and livelihood, peace and order, summary of calamity occurrences experienced by residents, disaster risk reduction preparedness, figures of diagnostic analytics, tables of descriptive analytics, poverty analytics, measurement of decomposed poverty, summary of disaggregated configurations, graphs of predictive and prescriptive analytics, and population dynamics. This work is vital in analyzing poverty in rural and multidimensional approaches through poverty incidence, poverty gap, severity statistics, watts index, and classifications. It may also serve as a basis for measuring poverty from nearby regions and nations that use complete enumeration of its households and members. By utilizing the analyzed and processed data, further classifications and regressions can be done. It can be freely used by the government, private organizations, charitable institutions, businesses, academia, and researchers to target policies. An advantage of utilizing the dataset is to address multifaceted poverty that requires different interventions. It will facilitate the creation of programs to alleviate poverty and promote local economic development.
DOI: 10.17632/bf58whpr5y.1
title: Technology-supported writing instruction: A systematic literature review and meta-analysis

description: The coding file used for conducting the TSWI review.
DOI: 10.17632/jz42mww9cj.1
title: Connection between subduction seismotectonic variation and hydrothermal regime: Implications from juxtaposed slab dehydration and decarbonation below the Philippine forearc

description: The data includes the three-dimensional temperature field (degrees Celsius), water content (wt%), dehydration rate (wt%/km), rock phase change distribution, and subduction velocity field (cm/yr) of the subducting plate, as well as the coastline and volcano distribution. The data of the model region have dimensions of 800×500×400 km (length×width×depth). The geometry of the subducted plate is well constrained by Slab2.0, and the plate ages are provided by EarthByte. The temperature boundary condition agrees with the plate cooling model. The bottom of the slab and the perpendicular plane are prescribed as adiabatic and permeable, and the top surface is set to a fixed temperature (0°C) and is rigid. The data was acquired through 3-D numerical thermal modeling which was developed from originally code stag3d. An anelastic liquid approximation and the equations of conservation of mass, momentum, and energy are used in this model. Based on a three-dimensional thermomechanical model and the collect earthquake catalog from IRIS, the data of the slab thermal state, water content, and slab dehydration distribution in Vanuatu are calculated. The geophysical calculation is ensured after the subduction thermal regime reaches a steady state. The temperature field error range is ±50 degrees Celsius, and the velocity field error range is ±0.1cm/ yr. This data can be further used analyzing the geophysical field of subduction zone.