cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r33srj
title: Occurrence Download

description: A dataset containing 26997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cenchrus ciliaris L."
 ]
}

 The dataset includes 26997 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021379-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.23615136
title: Economic data for the WECC and NPCC electricity markets

description: This repository contains relevent economic data for the Western Electricity Coordinating Council (WECC) and Northeast Power Coordinating Council (NPCC) systems, developed by Professor Fangxing Fran Li at The University of Tennessee and his PhD student Qiwei Zhang during 2021-2022.This data set will be of interest to you if you conduct electricity economic simulation studies, such as economic dispatch and LMP calculation. We provide a comprehensive economic data set for WECC and NPCC systems based on real-world grid operational data. Users can access the developed data set for generator aggregation, fuel cost, generator capacity, and line rating.This dataset can be found at Github as well. See https://github.com/enliten/ENLITEN-Grid-Econ-Data/.To use the data in your work, please cite the following reference:Q. Zhang and F. Li, "A Dataset for Electricity Market Studies on Western and Northeastern Power Grids in the United States," <i>Scientific Data</i>, In-Press, 2023.
DOI: 10.6084/m9.figshare.23615136.v3
title: Economic data for the WECC and NPCC electricity markets

description: This repository contains relevent economic data for the Western Electricity Coordinating Council (WECC) and Northeast Power Coordinating Council (NPCC) systems, developed by Dr. Fangxing Fran Li at The University of Tennessee and his PhD student Qiwei Zhang during 2021-2022. This data set will be of interest to you if you conduct electricity economic simulation studies, such as economic dispatch and LMP calculation. We provide a comprehensive economic data set for WECC and NPCC systems based on real-world grid operational data. Users can access the developed data set for generator aggregation, fuel cost, generator capacity, and line rating.This dataset can be found at Github as well. See https://github.com/enliten/ENLITEN-Grid-Econ-Data/. To use the data in your work, please cite the following reference:Q. Zhang and F. Li, "A Dataset for Electricity Market Studies on Western and Northeastern Power Grids in the United States," <i>Scientific Data</i>, In-Press, 2023.
DOI: 10.26183/essm-1v90
title: Nungon Child Speech Corpus

description: Approximately 180 hours of audio- and video-recorded child-caregiver conversations in the Towet village dialect of the Nungon language of the Saruwaged Mountains, Morobe Province, Papua New Guinea. Transcriptions accompany the audio and video recordings. Nine children were recorded longitudinally in either a non-dense study (recordings made for one one-hour session each month over two years, beginning at age 1;1-3;10) or a dense study (recordings made of four one-hour sessions within one week of each month, for five months).
Dataset contains sensitive information. Please contact auhor Hannah Sarvasy <h.sarvasy@wsesternsydney.edu.au> to discuss or collaborate. ORCID - 0000-0002-9551-480X
DOI: 10.6084/m9.figshare.24116382
title: Raw data of Core training impact in soccer

description: All the relevant data used to prepare and develop the research manuscript writing.
DOI: 10.26186/148692
title: 1:250,000 AUSTopo Australian Digital Topographic Map Series Index

description: The 1:250,000 AUSTopo Map Series Index underpins the new 1:250,000 AUSTopo Australian Digital Topographic Map Series (published from 2023). The index drives the online 1:250,000 topographic index dashboard and accompanying web service. Within this index, each of the 516 map sheets that comprehensively cover Australia is presented as an individual tile. The dataset contains value-add attributes, including map title, tile number, the latitude and longitude of the maps sheets, and year/s published. The index also features direct download links to the maps. <br>This index exists alongside the previous 1:250,000 map series index, which served as the framework for map editions published between 1995 to 2012. <br>Available in ESRI Shapefile and GDB.
DOI: 10.5281/zenodo.8176471
title: dataset for paper entitled "Forty Six Years of Research about Extract of Plants as Herbal Medicine on Embryo of Zebrafish and Their Properties to Human "

description: This is the dataset of list of papers related to use of plants on embryo of Zebrafish from 1977-2023 on Scopus website
DOI: 10.5281/zenodo.8333137
title: dataset for paper entitled "Forty Six Years of Research about Extract of Plants as Herbal Medicine on Embryo of Zebrafish and Their Properties to Human "

description: This is the dataset of list of papers related to use of plants on embryo of Zebrafish from 1977-2023 on Scopus website
DOI: 10.6084/m9.figshare.24116394
title: Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment

description: A spatio-temporal (ST) machine learning (ML) model for security-constrained unit commitment (SCUC) solution acceleration. The ML architecture with GNN and LSTM layers. Includes two models, one for node prediction to predict generator commitment status, and another for edge prediction, which predicts congested lines in the system. The predictions from the two models are then used to reduce the number of variables and constraints in a SCUC problem.NOTE: Codes are implemented in Python. ML model uses Keras, Tensorflow and Spektral (GNN) libraries. Optimization is implemented using Pyomo in python. A solver license (cplex/gurobi) is required for pyomo to run.
DOI: 10.6084/m9.figshare.24116394.v1
title: Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment

description: A spatio-temporal (ST) machine learning (ML) model for security-constrained unit commitment (SCUC) solution acceleration. The ML architecture with GNN and LSTM layers. Includes two models, one for node prediction to predict generator commitment status, and another for edge prediction, which predicts congested lines in the system. The predictions from the two models are then used to reduce the number of variables and constraints in a SCUC problem.NOTE: Codes are implemented in Python. ML model uses Keras, Tensorflow and Spektral (GNN) libraries. Optimization is implemented using Pyomo in python. A solver license (cplex/gurobi) is required for pyomo to run.
DOI: 10.25442/hku.23983299
title: Supporting data for “Improving Functional Capacity in Surgical Lung Cancer Patients”

description: This data set includes lung cancer patients' demographic and clinical information, functional capacity (6MWT), quality of life (FACT-L), and activity level (IPAQ-L) at four-time points (baseline T0, post-intervention T1, 1-month post-surgery T2, and 3-month post-surgery T3). Patients recruited were preoperative surgical lung cancer patients and they were randomized into an intervention group and a health education control group. The intervention is a 2-week prehabilitation program while the health education group attended 4 sessions of health education lectures.
DOI: 10.25442/hku.23983299.v1
title: Supporting data for “Improving Functional Capacity in Surgical Lung Cancer Patients”

description: This data set includes lung cancer patients' demographic and clinical information, functional capacity (6MWT), quality of life (FACT-L), and activity level (IPAQ-L) at four-time points (baseline T0, post-intervention T1, 1-month post-surgery T2, and 3-month post-surgery T3). Patients recruited were preoperative surgical lung cancer patients and they were randomized into an intervention group and a health education control group. The intervention is a 2-week prehabilitation program while the health education group attended 4 sessions of health education lectures.
DOI: 10.25442/hku.23995095
title: Supporting data for " Development and application of cold atmospheric plasma chip for plasma medicine"

description: Cold atmospheric plasma treatment promises a targeted cancer therapy due to its selectivity and specificity in killing tumor cells. However, the current plasma exposure devices produce diverse and coupled reactive species, impeding the investigation of the underlying plasma-anticancer mechanisms. Also, the limited mono-sample and mono-dosage treatment modality result in tedious and manual experimental tasks. Here, we propose a cold atmospheric plasma chip producing targeted species, delivering multiple dosages, and treating multiple cell lines in a single treatment. Three modules are integrated into the chip. The environment control module and multi-inlet gas-feed module coordinately ignite component-tunable and uniformly distributed plasma. The multi-sample holding module enables multiplex treatment: multi-sample and -dosage treatment with single radiation. By exposing the Hepg2 cell line to nitrogen-feed plasmas, we prove the crucial role of nitrogen-based species in inhibiting cell growth and stimulating apoptosis. By loading four-type cell lines on our chip, we can identify the most vulnerable cell line for plasma oncotherapy. Simultaneously, three-level treatment dosages are imposed on the cells with single radiation to optimize the applicable treatment dosage for plasma oncotherapy. Our chip will broaden the design principles of plasma exposure devices, potentially help clarify plasma-induced anticancer mechanisms, and guide the clinical application of plasma-based oncotherapy.
DOI: 10.25442/hku.23995095.v1
title: Supporting data for " Development and application of cold atmospheric plasma chip for plasma medicine"

description: Cold atmospheric plasma treatment promises a targeted cancer therapy due to its selectivity and specificity in killing tumor cells. However, the current plasma exposure devices produce diverse and coupled reactive species, impeding the investigation of the underlying plasma-anticancer mechanisms. Also, the limited mono-sample and mono-dosage treatment modality result in tedious and manual experimental tasks. Here, we propose a cold atmospheric plasma chip producing targeted species, delivering multiple dosages, and treating multiple cell lines in a single treatment. Three modules are integrated into the chip. The environment control module and multi-inlet gas-feed module coordinately ignite component-tunable and uniformly distributed plasma. The multi-sample holding module enables multiplex treatment: multi-sample and -dosage treatment with single radiation. By exposing the Hepg2 cell line to nitrogen-feed plasmas, we prove the crucial role of nitrogen-based species in inhibiting cell growth and stimulating apoptosis. By loading four-type cell lines on our chip, we can identify the most vulnerable cell line for plasma oncotherapy. Simultaneously, three-level treatment dosages are imposed on the cells with single radiation to optimize the applicable treatment dosage for plasma oncotherapy. Our chip will broaden the design principles of plasma exposure devices, potentially help clarify plasma-induced anticancer mechanisms, and guide the clinical application of plasma-based oncotherapy.
DOI: 10.25442/hku.24016920
title: Supporting data for "Harnessing genetic tools for monitoring, understanding and conserving seagrasses in highly urbanized coastal areas."

description: The dataset presented here includes the study of ecological dynamics through environmental DNA (eDNA) and ancient DNA (aDNA) analysis. The first chapter delves into the world of eDNA, focusing on its application in monitoring recent seagrass populations. Through water and sediment sampling, the dataset explore the interplay between environmental variables and eDNA detection, shedding light on the spatial distribution of seagrass communities in intertidal habitats. The second chapter studies the past seagrass population, where the analysis of aDNA extracted from sediments provides an understanding on the presence of historical seagrass population. This dataset helps to understand the transformative potential of DNA-based methodologies on past seagrass population detection through its effectiveness and accuracy. This dataset contains the data, map, text, and figures of the project, and two files are created to separate the data of chapter 1 and 2.
DOI: 10.25442/hku.24016920.v1
title: Supporting data for "Harnessing genetic tools for monitoring, understanding and conserving seagrasses in highly urbanized coastal areas."

description: The dataset presented here includes the study of ecological dynamics through environmental DNA (eDNA) and ancient DNA (aDNA) analysis. The first chapter delves into the world of eDNA, focusing on its application in monitoring recent seagrass populations. Through water and sediment sampling, the dataset explore the interplay between environmental variables and eDNA detection, shedding light on the spatial distribution of seagrass communities in intertidal habitats. The second chapter studies the past seagrass population, where the analysis of aDNA extracted from sediments provides an understanding on the presence of historical seagrass population. This dataset helps to understand the transformative potential of DNA-based methodologies on past seagrass population detection through its effectiveness and accuracy. This dataset contains the data, map, text, and figures of the project, and two files are created to separate the data of chapter 1 and 2.
DOI: 10.5281/zenodo.8333140
title: Is Over-taking Immoral? ——Taking and Donating in Resource Dilemma with no damage threshold

description: 先前的研究表明,社会价值取向和反馈会影响涉及环境问题的合作行为,但它们为环境设定了明确的承载阈值,导致场景扭曲。为了更好地反映现实,我们模拟了鱼缸中的自然环境,并创造了一个阈值未知的水资源困境。结果表明,社会价值取向不能预测资源获取,但与捐赠资源修复环境显著相关。环境破坏后的内疚与社会价值取向或资源获取无关,而是预测捐赠。反馈认为研究员捐赠更多(研究1)或自己是环境破坏的主要原因(研究2)增加了捐赠。此外,研究2发现生命价值减少了资源占用和增加捐赠。我们的研究结果表明,资源获取不能反映社会价值观取向,但捐赠可以。在现实场景中,服用更多的人不应该因为无法获得伤害阈值而受到严厉批评。 抽象148 / 2
DOI: 10.5281/zenodo.8333139
title: Is Over-taking Immoral? ——Taking and Donating in Resource Dilemma with no damage threshold

description: 先前的研究表明,社会价值取向和反馈会影响涉及环境问题的合作行为,但它们为环境设定了明确的承载阈值,导致场景扭曲。为了更好地反映现实,我们模拟了鱼缸中的自然环境,并创造了一个阈值未知的水资源困境。结果表明,社会价值取向不能预测资源获取,但与捐赠资源修复环境显著相关。环境破坏后的内疚与社会价值取向或资源获取无关,而是预测捐赠。反馈认为研究员捐赠更多(研究1)或自己是环境破坏的主要原因(研究2)增加了捐赠。此外,研究2发现生命价值减少了资源占用和增加捐赠。我们的研究结果表明,资源获取不能反映社会价值观取向,但捐赠可以。在现实场景中,服用更多的人不应该因为无法获得伤害阈值而受到严厉批评。 抽象148 / 2
DOI: 10.25442/hku.24000075
title: Supporting data for “Anti-Stanniocalcin 1 antibody as a potential therapeutic strategy for hepatocellular carcinoma and liver fibrosis"

description: Data collected for the thesis entitled "Anti-Stanniocalcin 1 antibody as a potential therapeutic strategy for hepatocellular carcinoma and liver fibrosis". Various types of data were involved, including but not limited to: Numerical data (in excel format) recorded by research instruments, including quantitative PCR machine, flow cytometer, plate reader, etc.;Western blotting images (in jpg and tiff) captured using Amersham Imager AI680; Transwell microscopic images (in jpg and tiff) taken using a light microscope and/or a fluorescence microscope;
DOI: 10.25442/hku.24000075.v1
title: Supporting data for “Anti-Stanniocalcin 1 antibody as a potential therapeutic strategy for hepatocellular carcinoma and liver fibrosis"

description: Data collected for the thesis entitled "Anti-Stanniocalcin 1 antibody as a potential therapeutic strategy for hepatocellular carcinoma and liver fibrosis". Various types of data were involved, including but not limited to: Numerical data (in excel format) recorded by research instruments, including quantitative PCR machine, flow cytometer, plate reader, etc.;Western blotting images (in jpg and tiff) captured using Amersham Imager AI680; Transwell microscopic images (in jpg and tiff) taken using a light microscope and/or a fluorescence microscope;
DOI: 10.25442/hku.24015096
title: Supporting data for "Identification of Novel Intervention Targets of Severe Acute Respiratory Syndrome Coronavirus 2 infection"

description: The dataset contains raw data for the thesis "Identification of Novel Intervention Targets of Severe Acute Respiratory Syndrome Coronavirus 2 infection". Similar to my thesis, the dataset is separated into two main folders "chapter 2" and "chapter 3". "chapter 2" is the raw data for the paper "SARS-CoV-2 exploits host DGAT and ADRP for efficient replication" published in Cell Discovery. It is about the critical lipid pathway involved with SARS-CoV-2 replication and a novel repurposing of existing antiviral agents for COVID-19 treatment. "chapter 3" contains raw data for the manuscript "A Novel Nanobody Targeting SARS-CoV-2 Receptor-Binding Domain Exhibits Potent Cross-Neutralizing Activity and Protective Efficacy against COVID-19", which is in preparation for publication.
DOI: 10.25442/hku.24015096.v1
title: Supporting data for "Identification of Novel Intervention Targets of Severe Acute Respiratory Syndrome Coronavirus 2 infection"

description: The dataset contains raw data for the thesis "Identification of Novel Intervention Targets of Severe Acute Respiratory Syndrome Coronavirus 2 infection". Similar to my thesis, the dataset is separated into two main folders "chapter 2" and "chapter 3". "chapter 2" is the raw data for the paper "SARS-CoV-2 exploits host DGAT and ADRP for efficient replication" published in Cell Discovery. It is about the critical lipid pathway involved with SARS-CoV-2 replication and a novel repurposing of existing antiviral agents for COVID-19 treatment. "chapter 3" contains raw data for the manuscript "A Novel Nanobody Targeting SARS-CoV-2 Receptor-Binding Domain Exhibits Potent Cross-Neutralizing Activity and Protective Efficacy against COVID-19", which is in preparation for publication.
DOI: 10.25442/hku.24017988
title: Supporting Data for Morphosyntactic Poperties of Finiteness and Control in Chinese and Beyond

description: The dataset contains the results of a survey on the judgment of quantifier raising from 25 subjects, who are all aged between 18 and 35 and speak Mandarin Chinese as their mother tongue, despite varied dialect backgrounds. The questionnaire and the consent form are also included. The study investigates whether quantifier raising is accepted in Mandarin Chinese, and whether control/noncontrol clauses exhibit distinction in such acceptance. 14 targets (6 monoclausal constructions, 4 exhaustive control constructions, 2 partial control constructions, 2 noncontrol constructions) and 16 fillers are included in the questionnaire.
DOI: 10.25442/hku.24017988.v1
title: Supporting Data for Morphosyntactic Poperties of Finiteness and Control in Chinese and Beyond

description: The dataset contains the results of a survey on the judgment of quantifier raising from 25 subjects, who are all aged between 18 and 35 and speak Mandarin Chinese as their mother tongue, despite varied dialect backgrounds. The questionnaire and the consent form are also included. The study investigates whether quantifier raising is accepted in Mandarin Chinese, and whether control/noncontrol clauses exhibit distinction in such acceptance. 14 targets (6 monoclausal constructions, 4 exhaustive control constructions, 2 partial control constructions, 2 noncontrol constructions) and 16 fillers are included in the questionnaire.
DOI: 10.25442/hku.24026649
title: Supporting data for PhD thesis "Mechanisms of ultrafine anaphase bridge (UFB) binding proteins, RIF1 and PP1, in regulating UFB resolution".

description: This dataset is the supporting data for my PhD thesis "Mechanisms of ultrafine anaphase bridge (UFB) binding proteins, RIF1 and PP1, in regulating UFB resolution", organized in the logical order following results in the thesis. From the generation and confirmation of target cell line to various functional studies. The experiments used are mainly western blotting, flow cytometry, immunofluorescence staining, and co-immunoprecipitation. Thus the data are mainly formed by the processed figures generated from different experiments with the purpose described inside each file. The README file is also organized in the order with the detailed description of variables set for each study.
DOI: 10.25442/hku.24026649.v1
title: Supporting data for PhD thesis "Mechanisms of ultrafine anaphase bridge (UFB) binding proteins, RIF1 and PP1, in regulating UFB resolution".

description: This dataset is the supporting data for my PhD thesis "Mechanisms of ultrafine anaphase bridge (UFB) binding proteins, RIF1 and PP1, in regulating UFB resolution", organized in the logical order following results in the thesis. From the generation and confirmation of target cell line to various functional studies. The experiments used are mainly western blotting, flow cytometry, immunofluorescence staining, and co-immunoprecipitation. Thus the data are mainly formed by the processed figures generated from different experiments with the purpose described inside each file. The README file is also organized in the order with the detailed description of variables set for each study.
DOI: 10.25442/hku.24032346
title: Supporting data for "RIVERINE CARBON CYCLING IN THE EAST RIVER (DONGJIANG) BASIN, CHINA"

description: This dataset serves as a crucial supporting dataset for the PhD thesis titled "RIVERINE CARBON CYCLING IN THE EAST RIVER (DONGJIANG) BASIN, CHINA." This dataset includes valuable records of riverine CO<sub>2</sub> emission measurements encompassing parameters such as <i>p</i>CO<sub>2</sub>, k, and FCO<sub>2</sub>. Additionally, it comprises chemical weathering data involving cations, anions, and Dsi. The dataset captures information from 43 sampled rivers and three reservoirs within the East River Basin. These data were collected throughout five fieldwork campaigns from December 2018 to October 2019, including three in the wet season (early wet season - late April, middle wet season - early July, and late wet season - late August) and two in the dry season (middle dry season - December 2018 to early January 2019 and early dry season - late October 2019. The dataset lays the foundation for calculating basin-wide CO<sub>2</sub> emissions and weathering carbon sink within the East River Basin. The resulting insights will enhance our comprehension of the role that rivers play in the intricate web of regional carbon balance dynamics.
DOI: 10.25442/hku.24032346.v1
title: Supporting data for "RIVERINE CARBON CYCLING IN THE EAST RIVER (DONGJIANG) BASIN, CHINA"

description: This dataset serves as a crucial supporting dataset for the PhD thesis titled "RIVERINE CARBON CYCLING IN THE EAST RIVER (DONGJIANG) BASIN, CHINA." This dataset includes valuable records of riverine CO<sub>2</sub> emission measurements encompassing parameters such as <i>p</i>CO<sub>2</sub>, k, and FCO<sub>2</sub>. Additionally, it comprises chemical weathering data involving cations, anions, and Dsi. The dataset captures information from 43 sampled rivers and three reservoirs within the East River Basin. These data were collected throughout five fieldwork campaigns from December 2018 to October 2019, including three in the wet season (early wet season - late April, middle wet season - early July, and late wet season - late August) and two in the dry season (middle dry season - December 2018 to early January 2019 and early dry season - late October 2019. The dataset lays the foundation for calculating basin-wide CO<sub>2</sub> emissions and weathering carbon sink within the East River Basin. The resulting insights will enhance our comprehension of the role that rivers play in the intricate web of regional carbon balance dynamics.