cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.23301101
title: Supporting data for 'Functional characterization of Epstein-Barr virus encoded RNA 2 in the pathogenesis of nasopharyngeal carcinoma'

description: A. Filename: chapter 3 SHAPE-MaP Short description: <br> This file includes the analysing code by shapemapper2 and the resulting structures of the SHAPE MaP experiments. This is the supporting data for chapter 3 in my thesis. B. Filename: chapter 4 RAP-MS Short description: This file contains the raw data of mass spectrometry done in CPOS and the excel file for the proteins pulled down by EBER1, EBER2 probes or negative control. The MS/MS reads are the number of reads for each proteins in each samples. The experiment was done in triplicates. C. Filename: chapter 5 RNA-seq Short description: <br> These are the RNA seq differential genes and transcripts excel files for M81 EBER2 or B95-8 EBER2 overexpression in C17 NPC cell lines. This experiment was done in triplicates. The fold change reflects the expression levels of each gene compared to negative control, and the lower FDR, the more significant the differential expression is. <br> <br> D. Filename: Dataset_RT-qPCR Short description: <br> All RT-qPCR raw data generated from Roche LightCycler 480. The raw data was further labeled and analyzed in excel. The enrichment of each RNA in RIP-qPCR results in Chapter 4 and the validation of RNAseq and other funcitonal tests in chapter5 were shown in this file. E. Filename: Dataset_Western Short description: <br> All the photos of ECL developed membrane for western blotting generated by AI680. The photos were then further labeled and analyzed in ImageJ. The levels of the input as well as IP of proteins or truncated proteins for each RIP-qPCR experiments for chapter 4 and the cell fractionatio assay for chapter 5 were shown by western blotting. <br> <br>
DOI: 10.25442/hku.23301101.v1
title: Supporting data for 'Functional characterization of Epstein-Barr virus encoded RNA 2 in the pathogenesis of nasopharyngeal carcinoma'

description: A. Filename: chapter 3 SHAPE-MaP Short description: <br> This file includes the analysing code by shapemapper2 and the resulting structures of the SHAPE MaP experiments. This is the supporting data for chapter 3 in my thesis. B. Filename: chapter 4 RAP-MS Short description: This file contains the raw data of mass spectrometry done in CPOS and the excel file for the proteins pulled down by EBER1, EBER2 probes or negative control. The MS/MS reads are the number of reads for each proteins in each samples. The experiment was done in triplicates. C. Filename: chapter 5 RNA-seq Short description: <br> These are the RNA seq differential genes and transcripts excel files for M81 EBER2 or B95-8 EBER2 overexpression in C17 NPC cell lines. This experiment was done in triplicates. The fold change reflects the expression levels of each gene compared to negative control, and the lower FDR, the more significant the differential expression is. <br> <br> D. Filename: Dataset_RT-qPCR Short description: <br> All RT-qPCR raw data generated from Roche LightCycler 480. The raw data was further labeled and analyzed in excel. The enrichment of each RNA in RIP-qPCR results in Chapter 4 and the validation of RNAseq and other funcitonal tests in chapter5 were shown in this file. E. Filename: Dataset_Western Short description: <br> All the photos of ECL developed membrane for western blotting generated by AI680. The photos were then further labeled and analyzed in ImageJ. The levels of the input as well as IP of proteins or truncated proteins for each RIP-qPCR experiments for chapter 4 and the cell fractionatio assay for chapter 5 were shown by western blotting. <br> <br>
DOI: 10.25442/hku.23300834
title: Supporting data for "Microbial community and assembly processes in the sediments of marine and lacustrine environments"

description: Raw data for microbial community and environmental variable data in the PhD thesis. The envrionmental variable data was produced during sample collection in the field and chemical analyses of samples in the laboratories; the microbial community date was derived from sample DNA extraction and high-throughput sequencing.
DOI: 10.25442/hku.23300834.v1
title: Supporting data for "Microbial community and assembly processes in the sediments of marine and lacustrine environments"

description: Raw data for microbial community and environmental variable data in the PhD thesis. The envrionmental variable data was produced during sample collection in the field and chemical analyses of samples in the laboratories; the microbial community date was derived from sample DNA extraction and high-throughput sequencing.
DOI: 10.5281/zenodo.8080336
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Heinrich Jacob Feuerborn, http://www.wikidata.org/entity/Q55843801. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q55843801
DOI: 10.5281/zenodo.8080335
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Heinrich Jacob Feuerborn, http://www.wikidata.org/entity/Q55843801. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q55843801
DOI: 10.25442/hku.23434742
title: Supporting data for ''Synthetic and Chemical Biology Studies of Pseudaminic Acid and Acinetaminic Acid''

description: The structural complexity of pseudaminic acid and acinetaminic acid makes them difficult to be obtained either by isolation from natural sources or by chemical syntheses reported previously, which limits the further study of their biological functions and developing related therapeutic approaches. Therefore, I spend efforts to focus on the synthetic and chemical biology studies of pseudaminic acid and acinetaminic acid. This file covers all the NMR spectra of the synthetic study of pseudaminic acid and acinetaminic acid in my thesis, including 1H, 13C, COSY, HMBC and HSQC NMR spectra. And the NMR spectra were collected via Advance DRX Bruker 400, 500 and 600 MHz spectrometers and analyzed via MestReNova software. <pre><code><br></code></pre>
DOI: 10.25442/hku.23434742.v1
title: Supporting data for ''Synthetic and Chemical Biology Studies of Pseudaminic Acid and Acinetaminic Acid''

description: The structural complexity of pseudaminic acid and acinetaminic acid makes them difficult to be obtained either by isolation from natural sources or by chemical syntheses reported previously, which limits the further study of their biological functions and developing related therapeutic approaches. Therefore, I spend efforts to focus on the synthetic and chemical biology studies of pseudaminic acid and acinetaminic acid. This file covers all the NMR spectra of the synthetic study of pseudaminic acid and acinetaminic acid in my thesis, including 1H, 13C, COSY, HMBC and HSQC NMR spectra. And the NMR spectra were collected via Advance DRX Bruker 400, 500 and 600 MHz spectrometers and analyzed via MestReNova software. <pre><code><br></code></pre>
DOI: 10.5281/zenodo.8080338
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Ferrière, http://www.wikidata.org/entity/Q21416496. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21416496
DOI: 10.5281/zenodo.8080337
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Ferrière, http://www.wikidata.org/entity/Q21416496. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21416496
DOI: 10.25442/hku.23500371
title: <em>Supporting data for “</em>The determinants of family-based intervention for drug-abusing adults and their potential impacts on families–a mixed method study<em>”</em>

description: The data files consist of various datasets collected for the mixed-method study on the effectiveness of a family-based intervention for drug abusers in Hong Kong. The datasets include both qualitative and quantitative data gathered from participants during different phases of the study. The qualitative data provide in-depth insights into experiences, perspectives, and insights of drug abusers and their spouses, while the quantitative data files contain information on participant demographics, frequency of drug use, mental health, and family-related outcomes before and after the intervention. The quantitative datasets were collected through structured surveys at different time points (i.e., baseline, 1-month, and 2-month after baseline). <br>
DOI: 10.25442/hku.23500371.v1
title: <em>Supporting data for “</em>The determinants of family-based intervention for drug-abusing adults and their potential impacts on families–a mixed method study<em>”</em>

description: The data files consist of various datasets collected for the mixed-method study on the effectiveness of a family-based intervention for drug abusers in Hong Kong. The datasets include both qualitative and quantitative data gathered from participants during different phases of the study. The qualitative data provide in-depth insights into experiences, perspectives, and insights of drug abusers and their spouses, while the quantitative data files contain information on participant demographics, frequency of drug use, mental health, and family-related outcomes before and after the intervention. The quantitative datasets were collected through structured surveys at different time points (i.e., baseline, 1-month, and 2-month after baseline). <br>
DOI: 10.25442/hku.23500575
title: <em>Supporting data for “</em>Not just abstinence but a better life: Understanding the quality of life of psychotropic drug abusers in Hong Kong<em>”</em>

description: The data files consist of various datasets collected for the mixed-method study on the quality of life for pscyhotropic drug abusers in Hong Kong. The datasets include both qualitative and quantitative data gathered from pscychotropic drug absuers and drug treatment and rehabilitation service providers. The qualitative data provide in-depth insights into experiences, perspectives, and insights of drug abusers and service providers, while the quantitative data files contain information on participant demographics, history of drug use, frequency of drug use, views on drug use, and views on quality of life related to drug abuse. The quantitative datasets were collected through structured surveys for some demographic information, drug use information and some well-being measurements.
DOI: 10.25442/hku.23500575.v1
title: <em>Supporting data for “</em>Not just abstinence but a better life: Understanding the quality of life of psychotropic drug abusers in Hong Kong<em>”</em>

description: The data files consist of various datasets collected for the mixed-method study on the quality of life for pscyhotropic drug abusers in Hong Kong. The datasets include both qualitative and quantitative data gathered from pscychotropic drug absuers and drug treatment and rehabilitation service providers. The qualitative data provide in-depth insights into experiences, perspectives, and insights of drug abusers and service providers, while the quantitative data files contain information on participant demographics, history of drug use, frequency of drug use, views on drug use, and views on quality of life related to drug abuse. The quantitative datasets were collected through structured surveys for some demographic information, drug use information and some well-being measurements.
DOI: 10.25442/hku.23500518
title: Supporting data for "The identification and characterization of histone chaperone ASF1B in the regulation of tumor lineage plasticity in hepatocellular carcinoma".

description: Hepatocellular carcinoma (HCC) ranks as the fifth most common cancer and the second leading cause of cancer-related mortality worldwide. The overall prognosis of HCC patients is very poor because it is susceptible to recurrence and metastasis. According to the cancer stem cell (CSC) model, there is a small subset of cancer cells within the tumor bulk that is responsible for tumor relapse and metastasis. CSCs represent cells that can self-renew, initiate tumors, and keep resistant to anti-cancer treatment. However, the fate and signatures of CSCs in HCC remain elusive. This study mainly focused on the key gene and its regulatory mechanisms that are responsible for the maintenance of HCC stemness. We found that histone chaperone ASF1B was one of the key genes and demonstrated its functions in HCC. This attached dataset included the raw data of "The identification and characterization of histone chaperone ASF1B in the regulation of tumor lineage plasticity in hepatocellular carcinoma", including RNA-sequencing data, data of qPCR, IF, HE, and IHC staining, results of in vitro functional assays including foci formation, spheroid formation, migration, invasion, and cell viability assays, as well as in vivo mouse experiments using different mouse models and CHIP-qPCR result and so on.
DOI: 10.25442/hku.23500518.v1
title: Supporting data for "The identification and characterization of histone chaperone ASF1B in the regulation of tumor lineage plasticity in hepatocellular carcinoma".

description: Hepatocellular carcinoma (HCC) ranks as the fifth most common cancer and the second leading cause of cancer-related mortality worldwide. The overall prognosis of HCC patients is very poor because it is susceptible to recurrence and metastasis. According to the cancer stem cell (CSC) model, there is a small subset of cancer cells within the tumor bulk that is responsible for tumor relapse and metastasis. CSCs represent cells that can self-renew, initiate tumors, and keep resistant to anti-cancer treatment. However, the fate and signatures of CSCs in HCC remain elusive. This study mainly focused on the key gene and its regulatory mechanisms that are responsible for the maintenance of HCC stemness. We found that histone chaperone ASF1B was one of the key genes and demonstrated its functions in HCC. This attached dataset included the raw data of "The identification and characterization of histone chaperone ASF1B in the regulation of tumor lineage plasticity in hepatocellular carcinoma", including RNA-sequencing data, data of qPCR, IF, HE, and IHC staining, results of in vitro functional assays including foci formation, spheroid formation, migration, invasion, and cell viability assays, as well as in vivo mouse experiments using different mouse models and CHIP-qPCR result and so on.
DOI: 10.25442/hku.23500965
title: Supporting data for "Two Essays on Consumers' Relative Preference for Algorithm-based Versus Human Recommendations"

description: Recommendation systems, the information filtering tools that provide options of products or services to customers, are powered by programmed algorithms or human experts. Both algorithm-based and human recommendation systems are widely adopted by companies to help consumers make optimal purchasing decisions amid their access to product information. However, the current state of the art lacks a systematic understanding of when companies should provide product recommendations by human experts or by algorithms, which impairs customer enjoyment as well as consumer loyalty. To address this question, it is necessary to understand the factors that influence consumers’ relative preferences for algorithm-based and human recommendations. In this thesis, I present two essays and examine two factors that influence consumers’ relative preferences for algorithm-based and human recommendations. The first essay investigates consumer-centric characteristics and shows that consumers who focus on the breadth (vs. depth) of product knowledge prefer recommendations by an algorithm over human experts. I further explore several other marketing-related manifestations of the breadth (vs. depth) of product-knowledge focus. Eight studies demonstrate that consumers focus more on the breadth than the depth of product knowledge, and thus prefer algorithm over human recommendations, when they are less knowledgeable about the product category, expect to receive a large number of recommendations, or are in a relatively early decision-making stage. The second essay explores a ubiquitous situational factor, time of day, that can influence consumers’ relative preference for algorithm-based versus human recommendations. Across five studies, I show that consumers exhibit a preference for algorithm-based recommendations over those offered by human experts in the evening, as opposed to the morning. This enhanced preference is driven by the belief that human cognitive functioning is worse in the evening than in the morning. I further reveal that the effect is attenuated if individuals are led to believe that human cognitive functioning is not necessarily better during the daytime, or if cognitive efforts are not helpful in improving the recommendations. By discussing a consumer characteristic and a situational factor that influence consumers’ relative preference for algorithm-based versus human recommendations, this thesis deepens our understanding of algorithm-human comparison, enriches the literature on product knowledge, as well as extends the research on time-of-day effects on consumer behavior. In addition, guidelines are developed for marketers on how to utilize different recommendation agents in various situations.
DOI: 10.25442/hku.23500965.v1
title: Supporting data for "Two Essays on Consumers' Relative Preference for Algorithm-based Versus Human Recommendations"

description: Recommendation systems, the information filtering tools that provide options of products or services to customers, are powered by programmed algorithms or human experts. Both algorithm-based and human recommendation systems are widely adopted by companies to help consumers make optimal purchasing decisions amid their access to product information. However, the current state of the art lacks a systematic understanding of when companies should provide product recommendations by human experts or by algorithms, which impairs customer enjoyment as well as consumer loyalty. To address this question, it is necessary to understand the factors that influence consumers’ relative preferences for algorithm-based and human recommendations. In this thesis, I present two essays and examine two factors that influence consumers’ relative preferences for algorithm-based and human recommendations. The first essay investigates consumer-centric characteristics and shows that consumers who focus on the breadth (vs. depth) of product knowledge prefer recommendations by an algorithm over human experts. I further explore several other marketing-related manifestations of the breadth (vs. depth) of product-knowledge focus. Eight studies demonstrate that consumers focus more on the breadth than the depth of product knowledge, and thus prefer algorithm over human recommendations, when they are less knowledgeable about the product category, expect to receive a large number of recommendations, or are in a relatively early decision-making stage. The second essay explores a ubiquitous situational factor, time of day, that can influence consumers’ relative preference for algorithm-based versus human recommendations. Across five studies, I show that consumers exhibit a preference for algorithm-based recommendations over those offered by human experts in the evening, as opposed to the morning. This enhanced preference is driven by the belief that human cognitive functioning is worse in the evening than in the morning. I further reveal that the effect is attenuated if individuals are led to believe that human cognitive functioning is not necessarily better during the daytime, or if cognitive efforts are not helpful in improving the recommendations. By discussing a consumer characteristic and a situational factor that influence consumers’ relative preference for algorithm-based versus human recommendations, this thesis deepens our understanding of algorithm-human comparison, enriches the literature on product knowledge, as well as extends the research on time-of-day effects on consumer behavior. In addition, guidelines are developed for marketers on how to utilize different recommendation agents in various situations.
DOI: 10.5281/zenodo.8080340
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Fereday, http://www.wikidata.org/entity/Q115048706. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115048706
DOI: 10.5281/zenodo.8080339
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Fereday, http://www.wikidata.org/entity/Q115048706. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115048706
DOI: 10.5281/zenodo.8080342
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Dana W. Fellows, http://www.wikidata.org/entity/Q113687347. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113687347
DOI: 10.5281/zenodo.8080341
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Dana W. Fellows, http://www.wikidata.org/entity/Q113687347. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113687347
DOI: 10.5281/zenodo.8080347
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Franz Nopcsa von Felső-Szilvás, http://www.wikidata.org/entity/Q527997. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q527997
DOI: 10.5281/zenodo.8080346
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Franz Nopcsa von Felső-Szilvás, http://www.wikidata.org/entity/Q527997. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q527997
DOI: 10.5281/zenodo.8080351
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jean Feltgen, http://www.wikidata.org/entity/Q20558351. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q20558351