cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8353656
title: Clinical subtyping of cancer from plasma based on comprehensive epigenomic profiling

description: <em><strong>Fragment bed files part 1.</strong></em> While circulating tumor DNA (ctDNA) assays are increasingly used to inform clinical decisions in cancer care, they have limited ability to identify the transcriptional programs that govern cancer phenotypes and their dynamic changes during the course of disease. To address these limitations, we developed a method for comprehensive epigenomic profiling of cancer from 1mL of patient plasma. Using an immunoprecipitation-based approach targeting histone modifications and DNA methylation, we measured 1,268 epigenomic profiles in plasma from 433 individuals with one of 15 cancers. Our assay provided a robust proxy for transcriptional activity, allowing us to infer the expression levels of diagnostic markers and drug targets, measure the activity of therapeutically targetable transcription factors, and detect epigenetic mechanisms of resistance. This proof-of-concept study in advanced cancers shows how plasma epigenomic profiling could unlock clinically actionable information that is currently accessible only via direct tissue sampling.
description: Fragment bed files part 1.
DOI: 10.34740/kaggle/dsv/6490561
title: WallStreetBets 2022
DOI: 10.25952/g5f0-wg21
title: The value of information and information sharing in the Australian beef and sheep meat supply chains - Dataset

description: The data were collected from two surveys of Australian sheep and cattle breeders and commercial producers, with a total of 139 respondents. These two surveys were conducted on-line, from November 2017 to October 2018. It aimed at revealing the linkages between information quality, information quantity, and firm performance; at estimating the value placed on information about product quality by two actors in the red meat supply chain at two levels of information quality and quantity; and at identifying the determinants of producers’ willingness to provide and willingness to pay for information about product quality in these supply chains.
description: The data were collected from two surveys of Australian sheep and cattle breeders and commercial producers, with a total of 139 respondents. These two surveys were conducted on-line, from November 2017 to October 2018. It aimed at revealing the linkages between information quality, information quantity, and firm performance; at estimating the value placed on information about product quality by two actors in the red meat supply chain at two levels of information quality and quantity; and at identifying the determinants of producers’ willingness to provide and willingness to pay for information about product quality in these supply chains.
DOI: 10.25442/hku.24077427
title: Supporting data for " The impact of CXCL10 derived from ovarian cancer cells on CD8<sup>+</sup> T cell antitumor immunity"

description: The TME in ovarian cancer is highly immunosuppressive, encompassing multiple inhibitory ligands, suppressive mediators, and various cell subsets, which results in CD8+ T cell dysfunction and exhaustion and subsequently limits the effectiveness of immunotherapeutic strategies. Numerous human studies have underscored the potential significance of chemokines in influencing the status of T-cell infiltration into tumors and patient survival. The effect of tumor-derived CXCL10 on T cells re- mains unclear. Therefore, our investigation is focused on understanding the func- tional impact and regulatory mechanisms of ovarian cancer-derived CXCL10 on the antitumor immunity of CD8+ T cells.Our objectives of this research is (1) to investigate the relationship between ovarian tumor cell-derived CXCL10 and CD8+ T cell exhaustion, (2) to investigate the impact of tumor-derived CXCL10 on CD8+ T cell antitumor immunity, and (3) to delineate the molecular mechanisms by which tumor-derived CXCL10 regulates CD8+ T cell exhaustion.This dataset includes four folders. Folder 1: Quantitative analysis data. Include Differential genes of single-cell analysis in CD8 T cells from patients with CXCL10 high versus CXCL10 low in tumor cells; Differential genes analysis of RNA-seq data of tumor tissue from orthotopic ovarian mouse model formed by CXCL10-/- and CXCL10-WT cells; Information of ovarian cancer patient tissue arrays; Quantitative analysis of tissue arrays. Quantitative of tumor growth of orthotopic ovarian mouse model and metastatic implantation model. Folder 2: Multiplex Immunohistochemistry Images of ovarian cancer patient tissue arrays; H&E and Multiplex Immunohistochemistry images of tumor tissue orthotopic ovarian mouse model formed by CXCL10-/- and CXCL10-WT cells.Folder 3: Images of monitoring tumor growth of orthotopic ovarian mouse model and metastatic implantation model. Folder 4: RPG poster in PDF File.
DOI: 10.25442/hku.24077427.v1
title: Supporting data for " The impact of CXCL10 derived from ovarian cancer cells on CD8<sup>+</sup> T cell antitumor immunity"

description: The TME in ovarian cancer is highly immunosuppressive, encompassing multiple inhibitory ligands, suppressive mediators, and various cell subsets, which results in CD8+ T cell dysfunction and exhaustion and subsequently limits the effectiveness of immunotherapeutic strategies. Numerous human studies have underscored the potential significance of chemokines in influencing the status of T-cell infiltration into tumors and patient survival. The effect of tumor-derived CXCL10 on T cells re- mains unclear. Therefore, our investigation is focused on understanding the func- tional impact and regulatory mechanisms of ovarian cancer-derived CXCL10 on the antitumor immunity of CD8+ T cells.Our objectives of this research is (1) to investigate the relationship between ovarian tumor cell-derived CXCL10 and CD8+ T cell exhaustion, (2) to investigate the impact of tumor-derived CXCL10 on CD8+ T cell antitumor immunity, and (3) to delineate the molecular mechanisms by which tumor-derived CXCL10 regulates CD8+ T cell exhaustion.This dataset includes four folders. Folder 1: Quantitative analysis data. Include Differential genes of single-cell analysis in CD8 T cells from patients with CXCL10 high versus CXCL10 low in tumor cells; Differential genes analysis of RNA-seq data of tumor tissue from orthotopic ovarian mouse model formed by CXCL10-/- and CXCL10-WT cells; Information of ovarian cancer patient tissue arrays; Quantitative analysis of tissue arrays. Quantitative of tumor growth of orthotopic ovarian mouse model and metastatic implantation model. Folder 2: Multiplex Immunohistochemistry Images of ovarian cancer patient tissue arrays; H&E and Multiplex Immunohistochemistry images of tumor tissue orthotopic ovarian mouse model formed by CXCL10-/- and CXCL10-WT cells.Folder 3: Images of monitoring tumor growth of orthotopic ovarian mouse model and metastatic implantation model. Folder 4: RPG poster in PDF File.
DOI: 10.5281/zenodo.8353870
title: Data set for article: Intimate Partner Violence and Emotional Exhaustion: A Female Gender Perspective in the University Environment

description: Data set for article: Intimate Partner Violence and Emotional Exhaustion: A Female Gender Perspective in the University Environment
DOI: 10.5281/zenodo.8353869
title: Data set for article: Intimate Partner Violence and Emotional Exhaustion: A Female Gender Perspective in the University Environment

description: Data set for article: Intimate Partner Violence and Emotional Exhaustion: A Female Gender Perspective in the University Environment
DOI: 10.25919/78q4-de76
title: Parkes observations for project P1171 semester 2023APRS_12

description: The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts. Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, to increase our detection chances of possibly associated X-ray emission. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve since all XMM-Newton data will become public a year after the observation.
DOI: 10.34740/kaggle/dsv/6490720
title: Our World in Data - COVID-19
DOI: 10.5281/zenodo.7923581
title: Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation

description: This are the files needed for running the experiments of "Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation". listening_events.tsv.bz2 : Dataset excerpt from LFM-2b, before filtering (see submission for details)
DOI: 10.5281/zenodo.7923668
title: Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation

description: This are the files needed for running the experiments of "Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation". listening_events.tsv.bz2 : Dataset excerpt from LFM-2b, before filtering (see submission for details) BPR_item_embeddings.tsv.bz2 : Item embeddings obtained from the pre-trained BPR instance
DOI: 10.5281/zenodo.7923580
title: Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation

description: This are the files needed for running the experiments of "Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation". listening_events.tsv.bz2 : Dataset excerpt from LFM-2b, before filtering (see submission for details) BPR_item_embeddings.tsv.bz2 : Item embeddings obtained from the pre-trained BPR instance user_split.tar.bz2 : csv file of the listening history of each user 2023_recsys_actr_poster.pdf ; poster presented at RecSys 2023 The code for running the experiments is available on GitHub<br> <br> If you use these files, please cite<br> @inproceedings{10.1145/3604915.3608838,<br> author = {Moscati, Marta and Wallmann, Christian and Reiter-Haas, Markus and Kowald, Dominik and Lex, Elisabeth and Schedl, Markus},<br> title = {Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation},<br> year = {2023},<br> isbn = {9798400702419},<br> publisher = {Association for Computing Machinery},<br> address = {New York, NY, USA},<br> url = {https://doi.org/10.1145/3604915.3608838},<br> doi = {10.1145/3604915.3608838},<br> abstract = {Music listening sessions often consist of sequences including repeating tracks. Modeling such relistening behavior with models of human memory has been proven effective in predicting the next track of a session. However, these models intrinsically lack the capability of recommending novel tracks that the target user has not listened to in the past. Collaborative filtering strategies, on the contrary, provide novel recommendations by leveraging past collective behaviors but are often limited in their ability to provide explanations. To narrow this gap, we propose four hybrid algorithms that integrate collaborative filtering with the cognitive architecture ACT-R. We compare their performance in terms of accuracy, novelty, diversity, and popularity bias, to baselines of different types, including pure ACT-R, kNN-based, and neural-networks-based approaches. We show that the proposed algorithms are able to achieve the best performances in terms of novelty and diversity, and simultaneously achieve a higher accuracy of recommendation with respect to pure ACT-R models. Furthermore, we illustrate how the proposed models can provide explainable recommendations.},<br> booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems},<br> pages = {840–847},<br> numpages = {8},<br> keywords = {Music Recommender Systems, Psychology-Informed Recommender Systems, Collaborative Filtering, Adaptive Control Thought-Rational (ACT-R), Sequential Recommendation, Explainability},<br> location = {Singapore, Singapore},<br> series = {RecSys '23}<br> } This research was funded in whole, or in part, by the Austrian Science Funds (FWF): P33526 and DFH-23, and by the State of Upper Austria and the Federal Ministry of Education, Science, and Research, through grant LIT-2020-9-SEE-113.
DOI: 10.5281/zenodo.7923900
title: Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation

description: This are the files needed for running the experiments of "Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation". listening_events.tsv.bz2 : Dataset excerpt from LFM-2b, before filtering (see submission for details) BPR_item_embeddings.tsv.bz2 : Item embeddings obtained from the pre-trained BPR instance user_split.tar.bz2 : csv file of the listening history of each user
DOI: 10.5281/zenodo.8316404
title: Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation

description: This are the files needed for running the experiments of "Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation". listening_events.tsv.bz2 : Dataset excerpt from LFM-2b, before filtering (see submission for details) BPR_item_embeddings.tsv.bz2 : Item embeddings obtained from the pre-trained BPR instance user_split.tar.bz2 : csv file of the listening history of each user 2023_recsys_actr_poster.pdf ; poster presented at RecSys 2023 The code for running the experiments is available on GitHub<br> <br> If you use these files, please cite<br> @inproceedings{10.1145/3604915.3608838,<br> author = {Moscati, Marta and Wallmann, Christian and Reiter-Haas, Markus and Kowald, Dominik and Lex, Elisabeth and Schedl, Markus},<br> title = {Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation},<br> year = {2023},<br> isbn = {9798400702419},<br> publisher = {Association for Computing Machinery},<br> address = {New York, NY, USA},<br> url = {https://doi.org/10.1145/3604915.3608838},<br> doi = {10.1145/3604915.3608838},<br> abstract = {Music listening sessions often consist of sequences including repeating tracks. Modeling such relistening behavior with models of human memory has been proven effective in predicting the next track of a session. However, these models intrinsically lack the capability of recommending novel tracks that the target user has not listened to in the past. Collaborative filtering strategies, on the contrary, provide novel recommendations by leveraging past collective behaviors but are often limited in their ability to provide explanations. To narrow this gap, we propose four hybrid algorithms that integrate collaborative filtering with the cognitive architecture ACT-R. We compare their performance in terms of accuracy, novelty, diversity, and popularity bias, to baselines of different types, including pure ACT-R, kNN-based, and neural-networks-based approaches. We show that the proposed algorithms are able to achieve the best performances in terms of novelty and diversity, and simultaneously achieve a higher accuracy of recommendation with respect to pure ACT-R models. Furthermore, we illustrate how the proposed models can provide explainable recommendations.},<br> booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems},<br> pages = {840–847},<br> numpages = {8},<br> keywords = {Music Recommender Systems, Psychology-Informed Recommender Systems, Collaborative Filtering, Adaptive Control Thought-Rational (ACT-R), Sequential Recommendation, Explainability},<br> location = {Singapore, Singapore},<br> series = {RecSys '23}<br> } This research was funded in whole, or in part, by the Austrian Science Funds (FWF): P33526 and DFH-23, and by the State of Upper Austria and the Federal Ministry of Education, Science, and Research, through grant LIT-2020-9-SEE-113.
DOI: 10.6084/m9.figshare.24153618
title: Childhood abuse- depression

description: The database recorded information on childhood abuse, self-esteem, coping styles and depression levels among 809 male prisoners.
DOI: 10.5281/zenodo.8143873
title: Simulated Warming Hole in Paleo-Pacific Oceans

description: Data generated in this study are archived here.
DOI: 10.5281/zenodo.8143872
title: Simulated Warming Hole in Paleo-Pacific Oceans

description: Data generated in this study are archived here.
DOI: 10.5281/zenodo.8351581
title: Data for plant species richness effects on plants and antagnists-2023-09-06

description: Data for plant species richness effects on plants and antagnists-2023-09-06
DOI: 10.5281/zenodo.8328953
title: Data for plant species richness effects on plants and antagnists-2023-09-06

description: Data for plant species richness effects on plants and antagnists-2023-09-06
DOI: 10.5063/f19k48qb
title: Agnes Water Beach, QLD, Australia; 16s sequencing raw data; environmental microbial assemblages; Update Sept23

description: Uploaded here is the raw 16s sequencing data (fastq) for the study "Microbial niche specialization mediates methane and nitrogen transformations within a subterranean estuary". Greenhouse gas, nutrient and physicochemical raw data sets are appended.In this study, we characterize microbial communities driving greenhouse gas and nutrient transformations in a subtropical STE situated within the Great Barrier Reef catchment, Australia. Microbiological and biogeochemical samples were extracted from the STE's terrestrial (freshwater), mixing (brackish) and oceanic (saltwater) zones.For further information refer to the manuscript (Link TBA once published).
DOI: 10.5063/f15x27cw
title: Agnes Water Beach, QLD, Australia; 16s sequencing raw data; environmental microbial assemblages; Update Sept23

description: Uploaded here is the raw 16s sequencing data (fastq) for the study "Microbiome mediating methane and nitrogen transformations in a subterranean estuary". Greenhouse gas, nutrient and physicochemical raw data sets as well as the updated microbial abundance table (qiime2+silva pipeline) are appended.In this study, we characterize microbial communities driving greenhouse gas and nutrient transformations in a subtropical STE situated within the Great Barrier Reef catchment, Australia. Microbial and environmental samples were extracted from the STE's terrestrial (freshwater), mixing (brackish) and oceanic (saltwater) zones.For further information refer to the manuscript (Link TBA once published).
DOI: 10.21227/5hjg-dm95
title: A Flavor-Based Study of Food Pairing Patterns in Chinese Dishes from Different Regions

description: To analyze the potential relation of ingredients to food pairing, this work applies flavor-based analysis to explore the food pairing patterns of typical dishes from different regions of China.   The dataset of Chinese typical regional dishes is obtained from Douguo-Food(https://www.douguo.com/), one of the largest online recipe-sharing sites in China.        In total, fourteen provincial administrative regions in China are analyzed, as the number of recipes collected in each region is required to be greater than 50.        Finally, the dataset consists of 1534 representative recipes.    A relationship mapping called compound-ingredient-recipe is constructed.      The flavor-based analysis is conducted by investigating the flavor compounds that are components of food ingredients.    The analysis process consists of data collection and curation, food pairing patterns, ingredient contribution and authenticity, and classification of cuisines.
DOI: 10.57841/casdc.0002348
title: Inconel 718镍基超合金的空蚀行为研究
DOI: 10.17632/bxhvcftyns.1
title: Supplemental Tables for: Fasting blood glucose and insulin are not associated with atopic dermatitis in a pediatric population: A longitudinal cohort study from the Avon Longitudinal Study of Parents and Children

description: Supplemental Tables for: Fasting blood glucose and insulin are not associated with atopic dermatitis in a pediatric population: A longitudinal cohort study from the Avon Longitudinal Study of Parents and Children
DOI: 10.17632/yc43f292wx.1
title: Mendeley supplemental figure 2.

description: Kaplan-Meier curve depicting in-treatment field recurrence or progression-free survival for 14 patients treated with palliative radiation therapy for symptomatic locoregionally advanced, unresectable cutaneous squamous cell carcinoma.
DOI: 10.17632/z874fnhxhp.1
title: Mendeley supplemental figure 1.

description: Kaplan-Meier curve depicting overall survival for 14 patients treated with palliative radiation therapy for symptomatic locoregionally advanced, unresectable cutaneous squamous cell carcinoma.