cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.22181938.v1
title: MiR-23a-3p Mediates Sorafenib Resistance in Human Hepatocellular Carcinoma: Study on The Regulatory Mechanisms and Potential Natural Suppressor from Chinese Herbal Medicine

description: Hepatocellular carcinoma (HCC) is the most histotye of liver cancer, which has brought great concern to global health due to the high incidence and mortality. Due to the poor diagnosis of HCC, patients are often diagnosed at late stages and have to adopt systemic therapies for the rest of their lives. Until now, although various agents have been developed since sorafenib first came out, the efficiency of these agents did not get much better improvement. Drug resistance is the main hindrance for HCC patients to benefit from these drugs. Current studies have demonstrated the mechanisms of sorafenib resistance in HCC are involved in drug transporter systems, regulated cell death (RCD), cancer stem-like features, and so on. They can be subject to epigenetic modifications, especially microRNAs (miRNAs). In this study, the identification of deregulated miRNA, miR-23a-3p, was through weighted correlation network analysis (WGCNA) on the miRNA expression profile in a sorafenib-treated patients’ cohort and the correlation analysis on the clinical relevance. The role of miR-23a-3p in facilitating sorafenib resistance in HCC was confirmed by establishing an <em>in vivo</em> generated sorafenib resistant (IV-SR) HCC cell line and conducting loss-of-function (LOF) experiments in orthotopic HCC mouse models. In the mechanism studies, proteomic analysis was performed to figure out the key upstream regulator and the essential downstream signalling. It was found that the ETS Proto-Oncogene 1 (ETS1) was the transcription factor (TF) that directly activated miR-23a-3p transcription upon sorafenib treatment, and ferroptosis was the core downstream signalling suppressed by miR-23a-3p overexpression. Specifically, Acyl-CoA synthetase long chain family member 4 (ACSL4) was proved to be the target of miR-23a-3p, which is responsible for catalysing the polyunsaturated fatty acid-containing phospholipid synthesis, an important prerequisite for ferroptosis activation. Given the clinical significance and the regulatory mechanisms of miR-23a-3p in sorafenib-treated HCC, miR-23a-3p was suggested as a target to enhance sorafenib efficacy in anti-HCC activity. Then a screening approach to look for a miR-23a-3p-targeted Chinese compound was conducted and identified that fangchinoline and HL23 could prevent sorafenib-induced miR-23a-3p transcription. HL23 showed better cytotoxicity on HCC than fangchinoline and showed a synergistic effect with sorafenib. The combination treatment of HL23 and sorafenib in the orthotopic HCC mouse model indicated that HL23 could remarkably enhance sorafenib efficacy. In conclusion, this study demonstrated that miR-23a-3p contributed to sorafenib resistance by targeting ACSL4-mediated ferroptosis in HCC and could be a target by HL23 to enhance the anti-HCC activity of sorafenib.
DOI: 10.25442/hku.22183408
title: Supporting Data for “Pluralized Wetland Governance: Landscape Materiality and the Politics of Knowledge Production in Tai Lake Basin, China”

description: This research explores the emergence of wetland parks as a site of ‘plural governance’ in late socialist China and their imbrication with the transition of the Chinese state from an authoritarian regime to multiple governmentality that is more open to reform and governing experiments involving non-state actors. By exploring the roles of administrators, ecologists, landscape designers and other local agents in the production of new knowledge about wetland construction and emergent discourses about nature and the environment, the study illustrates how wetland management decisions have been both constrained and enabled by the bureaucratic system of the state, the moral commitment of individual actors with divergent disciplinary trainings, as well as the material contingencies of specific landscapes. <br> This dataset includes the key interview transcripts of my interviewees who are involved in contemporary Chinese wetland park development. The dataset also includes a subfolder which store key drawings I made or adapted as reference.
DOI: 10.25442/hku.22183408.v1
title: Supporting Data for “Pluralized Wetland Governance: Landscape Materiality and the Politics of Knowledge Production in Tai Lake Basin, China”

description: This research explores the emergence of wetland parks as a site of ‘plural governance’ in late socialist China and their imbrication with the transition of the Chinese state from an authoritarian regime to multiple governmentality that is more open to reform and governing experiments involving non-state actors. By exploring the roles of administrators, ecologists, landscape designers and other local agents in the production of new knowledge about wetland construction and emergent discourses about nature and the environment, the study illustrates how wetland management decisions have been both constrained and enabled by the bureaucratic system of the state, the moral commitment of individual actors with divergent disciplinary trainings, as well as the material contingencies of specific landscapes. <br> This dataset includes the key interview transcripts of my interviewees who are involved in contemporary Chinese wetland park development. The dataset also includes a subfolder which store key drawings I made or adapted as reference.
DOI: 10.25442/hku.22200316
title: Photoluminescent Binuclear Pt(II), Pd(II) Complexes: Syntheses, Photophysical Properties and Applications in OLEDs and Photocatalysis

description: This dataset includes the raw data related to the contents of my dissertation. They are grouped into three categories based on the three reseach chapters presented in the dissertation. Each category is further classified into four to six subfolders based on the contents and they are electrochemical data, NMR data, photophysical data, OLED device data, photocatalysis data, SCXRD data and TGA data.
DOI: 10.25442/hku.22200316.v1
title: Photoluminescent Binuclear Pt(II), Pd(II) Complexes: Syntheses, Photophysical Properties and Applications in OLEDs and Photocatalysis

description: This dataset includes the raw data related to the contents of my dissertation. They are grouped into three categories based on the three reseach chapters presented in the dissertation. Each category is further classified into four to six subfolders based on the contents and they are electrochemical data, NMR data, photophysical data, OLED device data, photocatalysis data, SCXRD data and TGA data.
DOI: 10.25442/hku.22200712
title: Supporting data for "Deep Learning Functional Relationship Between Electron Density and Exchange-Correlation Potential"

description: The LOG files contain the data used to plot figures and tables in the thesis. The table LOG files contain the detailed normalize square difference (I values) between the calculated electron density and CCSD benchmark for different molecular systems. The other LOG files contains ZMP results (dipole moment for HF molecule and the potential difference between ZMP and B3LYP exchange-correlation potential), OEP genrated results (I values, density difference along dissociated bond/in XZ-plane, exchange-correlation potential comparsion between OEP and B3LYP and molecular properties (atomic forces, dipole moment and Mulliken charges)), the neural network training results (training loss, validation loss, root mean square error, and comparison between predicted and target potentials), FCNN results for different systems respectively (I values, density difference along dissociated bond/in XZ-plane,exchange-correlation potential comparsion between FCNN and B3LYP, and molecular properties (atomic forces, dipole moment and Mulliken charges)). Three softwares (Matplotlib, PySCF and Kspies) are used in this work. Matplotlib scripts used to reproduce the graphs are also included.
DOI: 10.25442/hku.22200712.v1
title: Supporting data for "Deep Learning Functional Relationship Between Electron Density and Exchange-Correlation Potential"

description: The LOG files contain the data used to plot figures and tables in the thesis. The table LOG files contain the detailed normalize square difference (I values) between the calculated electron density and CCSD benchmark for different molecular systems. The other LOG files contains ZMP results (dipole moment for HF molecule and the potential difference between ZMP and B3LYP exchange-correlation potential), OEP genrated results (I values, density difference along dissociated bond/in XZ-plane, exchange-correlation potential comparsion between OEP and B3LYP and molecular properties (atomic forces, dipole moment and Mulliken charges)), the neural network training results (training loss, validation loss, root mean square error, and comparison between predicted and target potentials), FCNN results for different systems respectively (I values, density difference along dissociated bond/in XZ-plane,exchange-correlation potential comparsion between FCNN and B3LYP, and molecular properties (atomic forces, dipole moment and Mulliken charges)). Three softwares (Matplotlib, PySCF and Kspies) are used in this work. Matplotlib scripts used to reproduce the graphs are also included.
DOI: 10.5281/zenodo.7726457
title: Factores de riesgo asociados a la sobrecarga de cuidadores informales de adultos mayores postrados

description: La base de datos contiene las variables estudiadas: edad, sexo, nivel educacional, promedio de horas diarias dedicadas al cuidado del enfermo, vínculo del cuidador con el enfermo y presencia de sobrecarga del cuidador.
DOI: 10.5281/zenodo.7726456
title: Factores de riesgo asociados a la sobrecarga de cuidadores informales de adultos mayores postrados

description: La base de datos contiene las variables estudiadas: edad, sexo, nivel educacional, promedio de horas diarias dedicadas al cuidado del enfermo, vínculo del cuidador con el enfermo y presencia de sobrecarga del cuidador.
DOI: 10.25582/data.2022-03.2453400/1933008
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453324/1933027
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453371/1933061
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453112/1933971
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452864/1933989
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453378/1933994
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452862/1933999
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453142/1934022
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453127/1934023
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452876/1934058
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453389/1934074
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453144/1934126
title: Data for EMSL Project 51132 from March 2022
DOI: 10.5281/zenodo.7626486
title: Gut microbiota inter-species interactions shape the response of Clostridioides difficile to clinically relevant antibiotics

description: In the human gut, the growth of <em>Clostridioides difficile </em>is impacted by a complex web of inter-species interactions with members of human gut microbiota. We investigate the contribution of inter-species interactions on the antibiotic response of <em>C. difficile </em>to clinically relevant antibiotics using bottom-up assembly of human gut communities. We discover two classes of microbial interactions that alter <em>C. </em>difficile’s antibiotic susceptibility: interactions resulting in increased <em>C. diffiicle </em>tolerance at high antibiotic concentrations (rare) and interactions resulting in <em>C. difficile </em>growth enhancement at low antibiotic concentrations (common). Based on genome-wide transcriptional profiling data, we demonstrate that metal sequestration due to hydrogen sulfide production by the prevalent gut species <em>Desulfovibrio piger </em>increases metronidazole tolerance of <em>C. difficile</em>. Competition with species that display higher sensitivity to the antibiotic than <em>C. difficile </em>leads to enhanced growth of <em>C. difficile </em>at low antibiotic concentrations. A dynamic computational model identifies the ecological design principles driving this effect. Our results provide a deeper understanding of ecological and molecular principles shaping <em>C. difficile</em>’s response to antibiotics, which could inform therapeutic interventions.In the human gut, the growth of <em>Clostridioides difficile </em>is impacted by a complex web of inter-species interactions with members of human gut microbiota. We investigate the contribution of inter-species interactions on the antibiotic response of <em>C. difficile </em>to clinically relevant antibiotics using bottom-up assembly of human gut communities. We discover two classes of microbial interactions that alter <em>C. </em>difficile’s antibiotic susceptibility: interactions resulting in increased <em>C. diffiicle </em>tolerance at high antibiotic concentrations (rare) and interactions resulting in <em>C. difficile </em>growth enhancement at low antibiotic concentrations (common). Based on genome-wide transcriptional profiling data, we demonstrate that metal sequestration due to hydrogen sulfide production by the prevalent gut species <em>Desulfovibrio piger </em>increases metronidazole tolerance of <em>C. difficile</em>. Competition with species that display higher sensitivity to the antibiotic than <em>C. difficile </em>leads to enhanced growth of <em>C. difficile </em>at low antibiotic concentrations. A dynamic computational model identifies the ecological design principles driving this effect. Our results provide a deeper understanding of ecological and molecular principles shaping <em>C. difficile</em>’s response to antibiotics, which could inform therapeutic interventions.
description: Species abundance data, CFU count data, hydrogen sulfide data, metal concentration data, qRT-PCR data
DOI: 10.5281/zenodo.7626485
title: Gut microbiota inter-species interactions shape the response of Clostridioides difficile to clinically relevant antibiotics

description: In the human gut, the growth of <em>Clostridioides difficile </em>is impacted by a complex web of inter-species interactions with members of human gut microbiota. We investigate the contribution of inter-species interactions on the antibiotic response of <em>C. difficile </em>to clinically relevant antibiotics using bottom-up assembly of human gut communities. We discover two classes of microbial interactions that alter <em>C. </em>difficile’s antibiotic susceptibility: interactions resulting in increased <em>C. diffiicle </em>tolerance at high antibiotic concentrations (rare) and interactions resulting in <em>C. difficile </em>growth enhancement at low antibiotic concentrations (common). Based on genome-wide transcriptional profiling data, we demonstrate that metal sequestration due to hydrogen sulfide production by the prevalent gut species <em>Desulfovibrio piger </em>increases metronidazole tolerance of <em>C. difficile</em>. Competition with species that display higher sensitivity to the antibiotic than <em>C. difficile </em>leads to enhanced growth of <em>C. difficile </em>at low antibiotic concentrations. A dynamic computational model identifies the ecological design principles driving this effect. Our results provide a deeper understanding of ecological and molecular principles shaping <em>C. difficile</em>’s response to antibiotics, which could inform therapeutic interventions.In the human gut, the growth of <em>Clostridioides difficile </em>is impacted by a complex web of inter-species interactions with members of human gut microbiota. We investigate the contribution of inter-species interactions on the antibiotic response of <em>C. difficile </em>to clinically relevant antibiotics using bottom-up assembly of human gut communities. We discover two classes of microbial interactions that alter <em>C. </em>difficile’s antibiotic susceptibility: interactions resulting in increased <em>C. diffiicle </em>tolerance at high antibiotic concentrations (rare) and interactions resulting in <em>C. difficile </em>growth enhancement at low antibiotic concentrations (common). Based on genome-wide transcriptional profiling data, we demonstrate that metal sequestration due to hydrogen sulfide production by the prevalent gut species <em>Desulfovibrio piger </em>increases metronidazole tolerance of <em>C. difficile</em>. Competition with species that display higher sensitivity to the antibiotic than <em>C. difficile </em>leads to enhanced growth of <em>C. difficile </em>at low antibiotic concentrations. A dynamic computational model identifies the ecological design principles driving this effect. Our results provide a deeper understanding of ecological and molecular principles shaping <em>C. difficile</em>’s response to antibiotics, which could inform therapeutic interventions.
description: Species abundance data, CFU count data, hydrogen sulfide data, metal concentration data, qRT-PCR data
DOI: 10.25582/data.2022-03.2453387/1934138
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453143/1934153
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453374/1934154
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453010/1934180
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453405/1934257
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452875/1934274
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453415/1934282
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452949/1934295
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453471/1934320
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453373/1934345
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453162/1934348
title: Data for EMSL Project 51132 from March 2022
DOI: 10.5281/zenodo.7726343
title: Data for megathrust earthquakes (1)

description: Waveform data and hypocenter data of the megathrust earthquakes used in the analysis are included. 'wv.dat' contains vertical, north-south, east-west components and 'tr.dat' contains transverse components. 'hypo_thrust_wv.dat' contains the hypocentral data used for waveform analysis from the catalogue of the Japan Meteorological Agency. Waveform data was recorded at MeSO-net stations maintained by the National Research Institute for Earth Science and Disaster Prevention (Sakai and Hirata, 2009; Aoi et al., 2021; National Research Institute for Earth Science and Disaster Resilience, 2021).
description: {"references": ["Aoi, S., Kimura, T., Ueno, T., Senna, S., & Azuma, H. (2021). Multi-data integration system to capture detailed strong ground motion in the Tokyo Metropolitan Area. Journal of Disaster Research, 16(4), 684-699. https://doi.org/10.20965/jdr.2021.p0684.", "National Research Institute for Earth Science and Disaster Resilience (2021), NIED MeSO-net, National Research Institute for Earth Science and Disaster Resilience, https://doi.org/10.17598/NIED.0023.", "Sakai, S. I., & Hirata, N. (2009). Distribution of the metropolitan seismic observation network. Bull. Earthq. Res. Inst. Univ. Tokyo, 84, 57-69."]}
DOI: 10.25582/data.2022-03.2452869/1934353
title: Data for EMSL Project 51132 from March 2022
DOI: 10.5281/zenodo.7726342
title: Data for megathrust earthquakes (1)

description: Waveform data and hypocenter data of the megathrust earthquakes used in the analysis are included. 'wv.dat' contains vertical, north-south, east-west components and 'tr.dat' contains transverse components. 'hypo_thrust_wv.dat' contains the hypocentral data used for waveform analysis from the catalogue of the Japan Meteorological Agency. Waveform data was recorded at MeSO-net stations maintained by the National Research Institute for Earth Science and Disaster Prevention (Sakai and Hirata, 2009; Aoi et al., 2021; National Research Institute for Earth Science and Disaster Resilience, 2021).
description: {"references": ["Aoi, S., Kimura, T., Ueno, T., Senna, S., & Azuma, H. (2021). Multi-data integration system to capture detailed strong ground motion in the Tokyo Metropolitan Area. Journal of Disaster Research, 16(4), 684-699. https://doi.org/10.20965/jdr.2021.p0684.", "National Research Institute for Earth Science and Disaster Resilience (2021), NIED MeSO-net, National Research Institute for Earth Science and Disaster Resilience, https://doi.org/10.17598/NIED.0023.", "Sakai, S. I., & Hirata, N. (2009). Distribution of the metropolitan seismic observation network. Bull. Earthq. Res. Inst. Univ. Tokyo, 84, 57-69."]}
DOI: 10.25582/data.2022-03.2453420/1934354
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453390/1934366
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453128/1935208
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453025/1935243
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453512/1935296
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453066/1935327
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452858/1935372
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453137/1935374
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453097/1935379
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453110/1935390
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453167/1935391
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453401/1935441
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452916/1935448
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453064/1935496
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453152/1935583
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453036/1935595
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453133/1936059
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2453427/1936170
title: Data for EMSL Project 51132 from March 2022