cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20116929.v1
title: MiR-106a facilitates the sensorineural hearing loss induced by oxidative stress by targeting connexin-43

description: Sensorineural hearing loss (SNHL) is a common clinical side effect resulted from the overusing of aminoglycoside antibacterial drugs, such as gentamicin. Oxidative stress is recently evidenced to be an important inducer for SNHL, which is reported to be associated with the knockdown of connexin-43. MiR-106a is recently found as a regulator of connexin-43. The present study aims to investigate whether miR-106a is a vital mediator in the development of SNHL. Firstly, upregulated miR-106a was observed in the peripheral blood sample of SNHL patients. Glucose oxidase (GO) was utilized to induce oxidative injury in isolated rat cochlear marginal cells (MCs), followed by introducing the miR-106a inhibitor. We found that the declined proliferation ability, increased apoptosis, and activated oxidative stress in GO-stimulated MCs were dramatically abolished by the miR-106a inhibitor, accompanied by the upregulation of connexin-43. The targeting correlation between miR-106a and connexin-43 was predicted and confirmed by the dual luciferase gene reporter assay. Furthermore, the regulatory effect of miR-106a inhibitor against the proliferation, apoptosis, and oxidative stress in GO-treated MCs were dramatically abolished by the knockdown of connexin-43. Gentamicin was utilized to establish the SNHL model in rats, followed by the treatments of antagomir-106a and antagomir-106a combined with carbenoxolone, an inhibitor of connexin-43. The alleviated pathological state, reduced apoptosis, and ameliorated oxidative stress in cochlea tissues were observed in antagomir-106a treated SNHL rats, which were dramatically reversed by the co-administration of carbenoxolone. Collectively, miR-106a facilitated the SNHL induced by oxidative stress via targeting connexin-43.
DOI: 10.17632/xc5y77ymv8.1
title: Super Derivatives and Super Integrals

description: We introduce a unified framework for limit-difference quotients
based on auxiliary domain mappings. By replacing the classical linear
increment with a nonlinear deformation mapping, we define a class
of operators that measure functional variation relative to transformed
scales. This formulation naturally encompasses the classical deriva
tive, directional and Fr´echet derivatives, as well as nonlocal difference
operators arising in quantum calculus and (p,q)-analysis.
The proposed framework distinguishes between local differential
behavior and nonlocal, scale-dependent sensitivity, providing a sys
tematic interpretation of secant-type operators within a common limit
structure. Several analytical examples are presented to illustrate the
behavior of the operator for smooth, nonsmooth, and nonlocal config
urations. Extensions to Banach spaces and dual-mapping settings are
also discussed, highlighting the relevance of the approach to functional
analysis and nonlocal calculus.
DOI: 10.6084/m9.figshare.20156130
title: IL-17A deletion reduces sevoflurane-induced neurocognitive impairment in neonatal mice by inhibiting NF-κB signaling pathway

description: We investigated the role of IL-17A in sevoflurane-inducedneurocognitive impairment in neonatal mice. Seventy-two wild-type (WT) and 42 IL-17A knockout (KO) neonatal mice were randomly divided into WT (<i>n</i> = 36), IL-17A<sup>−/−</sup> (<i>n</i> = 6), sevoflurane (Sev, <i>n</i> = 36), and IL-17A<sup>−/−</sup> + sevoflurane (IL-17A<sup>−/−</sup> + Sev, <i>n</i> = 36) groups. The latter two groups were given 3% sevoflurane for 2 h per day on postnatal days (P) 6–8. Behavioral experiments were performed on P30–36. At P37, RNA sequencing and qRT-PCR of the hippocampus was performed, neurons were detected by Nissl staining, and neuropathological changes were evaluated by HE staining. NF-κB pathway-related proteins were evaluated by western blot and immunofluorescence analyses, IL-1β and IL-6 levels were assessed by ELISA. RNA sequencing identified 131 differentially expressed genes, highlighting several enriched biological processes (chemokine activity, immune response, extracellular region, extracellular space, inflammatory response) and signaling pathways (IL-17 signaling pathway, chemokine signaling pathway, cytokine–cytokine receptor interaction, ECM–receptor interaction and influenza A). Repeated sevoflurane exposures induced long-term cognitive impairment in WT mice. The cognitive impairment was comparatively less severe in IL-17A KO mice. In addition, the increased levels of NF-κB p65, iNOS, COX-2, IL-17A, IL-6 and IL-1β, reduced neuronal numbers and neuropathological changes were ameliorated in neonatal mice in the IL-17A<sup>−/−</sup> + Sev group compared with neonatal mice in Sev group. IL-17A deletion protects against long-term cognitive impairment induced by repeated sevoflurane exposure in neonatal mice. The underlying mechanism may relate to inhibiting NF-κB signaling pathway as well as the reducing neuroinflammation.
DOI: 10.6084/m9.figshare.20156130.v1
title: IL-17A deletion reduces sevoflurane-induced neurocognitive impairment in neonatal mice by inhibiting NF-κB signaling pathway

description: We investigated the role of IL-17A in sevoflurane-inducedneurocognitive impairment in neonatal mice. Seventy-two wild-type (WT) and 42 IL-17A knockout (KO) neonatal mice were randomly divided into WT (<i>n</i> = 36), IL-17A<sup>−/−</sup> (<i>n</i> = 6), sevoflurane (Sev, <i>n</i> = 36), and IL-17A<sup>−/−</sup> + sevoflurane (IL-17A<sup>−/−</sup> + Sev, <i>n</i> = 36) groups. The latter two groups were given 3% sevoflurane for 2 h per day on postnatal days (P) 6–8. Behavioral experiments were performed on P30–36. At P37, RNA sequencing and qRT-PCR of the hippocampus was performed, neurons were detected by Nissl staining, and neuropathological changes were evaluated by HE staining. NF-κB pathway-related proteins were evaluated by western blot and immunofluorescence analyses, IL-1β and IL-6 levels were assessed by ELISA. RNA sequencing identified 131 differentially expressed genes, highlighting several enriched biological processes (chemokine activity, immune response, extracellular region, extracellular space, inflammatory response) and signaling pathways (IL-17 signaling pathway, chemokine signaling pathway, cytokine–cytokine receptor interaction, ECM–receptor interaction and influenza A). Repeated sevoflurane exposures induced long-term cognitive impairment in WT mice. The cognitive impairment was comparatively less severe in IL-17A KO mice. In addition, the increased levels of NF-κB p65, iNOS, COX-2, IL-17A, IL-6 and IL-1β, reduced neuronal numbers and neuropathological changes were ameliorated in neonatal mice in the IL-17A<sup>−/−</sup> + Sev group compared with neonatal mice in Sev group. IL-17A deletion protects against long-term cognitive impairment induced by repeated sevoflurane exposure in neonatal mice. The underlying mechanism may relate to inhibiting NF-κB signaling pathway as well as the reducing neuroinflammation.
DOI: 10.17632/xzznfjgj7t
title: Public Acceptance of Multi-Faceted Plastic Reduction Policies in Japan: A Conjoint Analysis of Shopping Bags, Straws, and Waste Disposal Research Data

description: These data files are the stata data and code in this study.
DOI: 10.17632/xzznfjgj7t.1
title: Public Acceptance of Multi-Faceted Plastic Reduction Policies in Japan: A Conjoint Analysis of Shopping Bags, Straws, and Waste Disposal Research Data

description: These data files are the stata data and code in this study.
DOI: 10.17632/7tvj9f9kj7
title: Continued Intention to Use AI Chatbots in Higher Education

description: The rapid adoption of artificial intelligence (AI) chatbots in higher education has transformed the way students and educators access academic support, learning resources, and administrative services. AI chatbots are increasingly utilized for personalized learning assistance, instant feedback, academic advising, and institutional communication. While previous studies have extensively examined initial adoption factors, understanding the determinants of users' continued intention to use AI chatbots remains critical for ensuring their long-term effectiveness and sustainability in academic environments.
DOI: 10.17632/7tvj9f9kj7.1
title: Continued Intention to Use AI Chatbots in Higher Education

description: The rapid adoption of artificial intelligence (AI) chatbots in higher education has transformed the way students and educators access academic support, learning resources, and administrative services. AI chatbots are increasingly utilized for personalized learning assistance, instant feedback, academic advising, and institutional communication. While previous studies have extensively examined initial adoption factors, understanding the determinants of users' continued intention to use AI chatbots remains critical for ensuring their long-term effectiveness and sustainability in academic environments.
DOI: 10.17632/v7zgyr7w7g
title: Data: Farm level factors influencing enteric methane emissions from dairy cattle in smallholder farming systems of Malawi

description: The data describes smallholder dairy systems in Malawi. This includes the characteristics of smallholder dairy systems and enteric methane concentrations from dairy cattle. The study area included five districts of Malawi: Lilongwe, Mchinji, Dowa, Mzimba and Dedza, and was conducted between May and June 2024, in the cool dry season. The research aimed to achieve the following at smallholder dairy level: to quantify milk production and actual enteric methane values from dairy cattle, to investigate the farm-level variables influencing enteric methane and to determine the relationship between enteric methane and dairy productivity. 

Seventy-two smallholder dairy farmers were selected via random sampling and surveyed. Farmers met the following criteria: members of a milk bulking group, within the 5 selected districts and partnered with Lilongwe University in the FoodMa project (https://luanar.ac.mw/pco2/programmes.php). Sixty-eight farms comprising 100 dairy cattle (heifers and cows) were included for analysis. 
 
Farm level data (farm and farmer characteristics) were collected via intra-household interview, guided with an "intra-household questionnaire". The KoboToolbox software was used to design and create the questionnaire, as well as store the farm level data. KoboCollect smartphone app was used to facilitate the interview. Enteric methane concentrations were measured directly from each animal in all the selected farms using the Laser Methane Detector (LMD), which was directed between the nostrils of the animal. Methane was measured per animal in the following procedure: every 6-minutes with 1-minute rest intervals, for 1 hour. 

Data was categorized into two: Methane concentration data and Farm level data. 
Methane concentration data (ppm) included "raw methane activity data" and "average methane data". Raw methane data was cleaned and analyzed to determine the enteric methane concentrations from the animal which was recorded in the dataset "average methane data". 
Farm level data comprised the "raw farm data" and "processed farm data". The raw farm data was data recorded during the interviews which was processed by combining similar variables, to create the "processed farm data" . For analysis, both processed datasets were combined into the "farm and methane data".
The combined dataset was analyzed using a linear mixed model (LME) to determine farm-level factors influencing enteric methane emissions from dairy cattle in smallholder dairy systems and the relationship between enteric methane and dairy productivity.
DOI: 10.17632/v7zgyr7w7g.3
title: Data: Farm level factors influencing enteric methane emissions from dairy cattle in smallholder farming systems of Malawi

description: The data describes smallholder dairy systems in Malawi. This includes the characteristics of smallholder dairy systems and enteric methane concentrations from dairy cattle. The study area included five districts of Malawi: Lilongwe, Mchinji, Dowa, Mzimba and Dedza, and was conducted between May and June 2024, in the cool dry season. The research aimed to achieve the following at smallholder dairy level: to quantify milk production and actual enteric methane values from dairy cattle, to investigate the farm-level variables influencing enteric methane and to determine the relationship between enteric methane and dairy productivity. 

Seventy-two smallholder dairy farmers were selected via random sampling and surveyed. Farmers met the following criteria: members of a milk bulking group, within the 5 selected districts and partnered with Lilongwe University in the FoodMa project (https://luanar.ac.mw/pco2/programmes.php). Sixty-eight farms comprising 100 dairy cattle (heifers and cows) were included for analysis. 
 
Farm level data (farm and farmer characteristics) were collected via intra-household interview, guided with an "intra-household questionnaire". The KoboToolbox software was used to design and create the questionnaire, as well as store the farm level data. KoboCollect smartphone app was used to facilitate the interview. Enteric methane concentrations were measured directly from each animal in all the selected farms using the Laser Methane Detector (LMD), which was directed between the nostrils of the animal. Methane was measured per animal in the following procedure: every 6-minutes with 1-minute rest intervals, for 1 hour. 

Data was categorized into two: Methane concentration data and Farm level data. 
Methane concentration data (ppm) included "raw methane activity data" and "average methane data". Raw methane data was cleaned and analyzed to determine the enteric methane concentrations from the animal which was recorded in the dataset "average methane data". 
Farm level data comprised the "raw farm data" and "processed farm data". The raw farm data was data recorded during the interviews which was processed by combining similar variables, to create the "processed farm data" . For analysis, both processed datasets were combined into the "farm and methane data".
The combined dataset was analyzed using a linear mixed model (LME) to determine farm-level factors influencing enteric methane emissions from dairy cattle in smallholder dairy systems and the relationship between enteric methane and dairy productivity.
DOI: 10.3334/cdiac/otg.tsm_tao140w
title: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring MOORING TAO140W_0N in the Equatorial Pacific Ocean (NCEI Accession 0100077)

description: This dataset includes chemical, meteorological, physical and time series data collected from Mooring TAO140W_0N in the Equatorial Pacific Ocean from 2004-05-23 to 2023-11-26. These data include air-sea difference - partial pressure of carbon dioxide (pCO2), barometric pressure, oxygen, pCO2 - atmosphere, pCO2 - water, salinity and sea surface temperature. The Moored Autonomous pCO2 (MAPCO2®) instruments used to collect these data include Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement, Carbon dioxide (CO2) gas analyzer, Humidity Sensor, and oxygen meter. The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by UNESCO International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.17632/4f4b4gjgwf
title: Hydrodynamic coefficients study on a single-column wind power platform with double anti-heave plate

description: data in the manuscipt &lt;&gt;
DOI: 10.3334/cdiac/otg.tsm_tao170w_0n
title: High-resolution ocean pCO2 time-series measurements from mooring TAO170W_0N in the Equatorial Pacific Ocean (NCEI Accession 0100078)

description: This dataset includes chemical, meteorological, physical and time series data collected from Mooring_TAO170W_0N in the Equatorial Pacific Ocean from 2005-07-04 to 2024-12-22. These data include air-sea difference of partial pressure of carbon dioxide (pCO2), barometric pressure, oxygen, pCO2 in atmosphere, pCO2 in water, sea surface salinity, sea surface temperature and pH on total scale. The Moored Autonomous pCO2 (MAPCO2®) instruments used to collect these data include Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement, Carbon dioxide (CO2) gas analyzer, Humidity Sensor, and oxygen meter. The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.17632/4f4b4gjgwf.1
title: Hydrodynamic coefficients study on a single-column wind power platform with double anti-heave plate

description: data in the manuscipt &lt;&gt;
DOI: 10.3334/cdiac/otg.tsm_whots
title: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring WHOTS_158W_23N in the North Pacific Ocean (NCEI Accession 0100080)

description: This dataset includes chemical, meteorological, physical and time series data collected from WHOTS_158W_23N in the North Pacific Ocean from 2007-06-26 to 2025-08-21. These data include air-sea difference - partial pressure of carbon dioxide (pCO2), barometric pressure, oxygen, pCO2 - atmosphere, pCO2 - water, salinity, sea surface temperature, oxygen, pH on total scale, total chlorophyll, nephelometric turbidity unit and salinity-compensated dissolved oxygen. The Moored Autonomous pCO2 (MAPCO2®) instruments used to collect these data include Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement, Carbon dioxide (CO2) gas analyzer, Humidity Sensor, and oxygen meter. The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.17632/khk8jmmxcb
title: Making Paper Pay: Commercial Paper Trading Facilitation and Corporate Tax Avoidance

description: The file "EM data" provides the process and instructions for replicating the econometric analysis presented in the study. The replication folder contains all available data, code, and software to reproduce the results presented in the paper.
DOI: 10.5281/zenodo.18375719
title: Pro-regenerative fingerprints identified in a sub-population of adult mouse cardiomyocytes by integrative single-cell proteomics_Raw_data_4

description: Raw_data_4:

 

Figure_S11: Figure_S11 in adobe illustrator, png and pdf formats. Input_files folder: includes the input data for Metaboanalyst for creating the figure. Additional folder: includes the VIP proteins and the correspondant scores per component extracted from the PLS-DA analyses for each cluster.

 

Figure_S12: Figure_S12 in adobe illustrator, png and pdf formats. Additional folder: includes the svg files of the correspondant interactome networks for each cluster.

 

Figure_S13: Figure_S13 in adobe illustrator, png and pdf formats. Additional folder: includes the input csv files for the correspondant figure section.

Figure_S14: Figure_S14 in adobe illustrator, png and pdf formats. Additional folder: includes the input csv file for FigureS14 and an excel file including the data per cluster and cell of each correspondant cellular compartment.

 

Figure_S15: Figure_S15 in adobe illustrator, png and pdf formats. Additional folder: includes an  excel file including the data per cluster and cell of each correspondant Chromatin compartment and Whole cell size (Xa).

 

Figure_S16: Figure_S16 in adobe illustrator, png and pdf formats.

 

Figure_S17: Figure_S17 in adobe illustrator, png and pdf formats. Additional folder: includes an excel file including the data per cluster and cell of each correspondant cellular compartment.
DOI: 10.5281/zenodo.18375720
title: Pro-regenerative fingerprints identified in a sub-population of adult mouse cardiomyocytes by integrative single-cell proteomics_Raw_data_4

description: Raw_data_4:

 

Figure_S11: Figure_S11 in adobe illustrator, png and pdf formats. Input_files folder: includes the input data for Metaboanalyst for creating the figure. Additional folder: includes the VIP proteins and the correspondant scores per component extracted from the PLS-DA analyses for each cluster.

 

Figure_S12: Figure_S12 in adobe illustrator, png and pdf formats. Additional folder: includes the svg files of the correspondant interactome networks for each cluster.

 

Figure_S13: Figure_S13 in adobe illustrator, png and pdf formats. Additional folder: includes the input csv files for the correspondant figure section.

Figure_S14: Figure_S14 in adobe illustrator, png and pdf formats. Additional folder: includes the input csv file for FigureS14 and an excel file including the data per cluster and cell of each correspondant cellular compartment.

 

Figure_S15: Figure_S15 in adobe illustrator, png and pdf formats. Additional folder: includes an  excel file including the data per cluster and cell of each correspondant Chromatin compartment and Whole cell size (Xa).

 

Figure_S16: Figure_S16 in adobe illustrator, png and pdf formats.

 

Figure_S17: Figure_S17 in adobe illustrator, png and pdf formats. Additional folder: includes an excel file including the data per cluster and cell of each correspondant cellular compartment.
DOI: 10.17632/khk8jmmxcb.1
title: Making Paper Pay: Commercial Paper Trading Facilitation and Corporate Tax Avoidance

description: The file "EM data" provides the process and instructions for replicating the econometric analysis presented in the study. The replication folder contains all available data, code, and software to reproduce the results presented in the paper.
DOI: 10.17632/bxwb992bbp
title: Identification of a novel elicitor protein from Bacillus and its application agsinst gray mold on grspes

description: This document concerns the identification and characterization of elicitor proteins, as well as data on enzyme activity indicators measured after inoculating grape fruits.
DOI: 10.17632/bxwb992bbp.1
title: Identification of a novel elicitor protein from Bacillus and its application agsinst gray mold on grspes

description: This document concerns the identification and characterization of elicitor proteins, as well as data on enzyme activity indicators measured after inoculating grape fruits.
DOI: 10.17632/tsx67ywc9p
title: Original data for Low-Cost Salt-Bridge MFCs via KCl Concentration Optimization: High Stability and Efficiency for Decentralized Wastewater Treatment

description: This dataset contains the original experimental data supporting the research article "Low-Cost Salt-Bridge MFCs via KCl Concentration Optimization: High Stability and Efficiency for Decentralized Wastewater Treatment". The study focused on optimizing the KCl concentration in salt-bridge microbial fuel cells (MFCs) to enhance electrochemical performance, pollutant removal efficiency, and operational stability.
DOI: 10.17632/tsx67ywc9p.1
title: Original data for Low-Cost Salt-Bridge MFCs via KCl Concentration Optimization: High Stability and Efficiency for Decentralized Wastewater Treatment

description: This dataset contains the original experimental data supporting the research article "Low-Cost Salt-Bridge MFCs via KCl Concentration Optimization: High Stability and Efficiency for Decentralized Wastewater Treatment". The study focused on optimizing the KCl concentration in salt-bridge microbial fuel cells (MFCs) to enhance electrochemical performance, pollutant removal efficiency, and operational stability.
DOI: 10.5281/zenodo.18375636
title: BKM random state and Hamiltonian generator

description: Mathematica notebook used to generate plots in the preprint 'Entropy-based random quantum states' arXiv:2511.01988