cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hgdv28fzvh.4
title: ASSESSMENT OF STAKEHOLDER PERCEPTIONS OF OCEAN HAZARD RISK FOR COASTAL INFRASTRUCTURE/ROADWAYS, MAUI COUNTY, HAWAI‘I

description: *Specific use of any data requires authorization from the authors.

Coastal roads in Maui County are at-risk of sea level rise and coastal hazards. These roads are often the only way people travel, so the inundation and deterioration of coastal roads increases communities’ vulnerability and negatively impacts the everyday life of residents. Recognizing the urgency of this issue, Maui County and HDOT asked the Department of Civil and Environmental Engineering Coastal Hydraulics Engineering Resilience lab at University of Hawai‘i at Mānoa to help adapt coastal county roads for future coastal hazard scenarios. 

To inform this project’s engineering design, a stakeholder assessment was conducted to ensure the most sustainable and culturally-sensitive development option is recommended. The assessment also helps Maui and the State of Hawaii Department of Transportation (HDOT) identify stakeholder needs. In addition to semi-structured interviews, a questionnaire ranking all possible coastal adaptation options was given. This project is focused on the islands of Maui and Molokai. Lāna‘i is not included, as the island does not have any coastal county roads. 

During the summer of 2021, a total of 112 subjects were interviewed and 102 stakeholders responded to the survey. This dataset contains the results from the study, along with information on stakeholder and respondent characteristics and represented areas. Results of the stakeholder assessment contain 1) stakeholder preferences of coastal road adaptation options, 2) areas and roads of stakeholder concern, 3) stakeholder desires surrounding coastal issues, 4) tools and information needed for stakeholders to prepare for coastal disasters and road disruptions, 5) identified barriers and limitations to adaptation, 6) information on current and upcoming stakeholder and government actions to increase resilience, and 7) information on government-resident experiences. 

Disclaimer: The results from the oral interviews were obtained through a series of extensive open-ended questions; meaning the answers depended on how the respondent chose to answer the question based on their priorities rather than being given a predetermined set of statements to agree or disagree with. Therefore, the actual number of respondents that agree with a statement may be higher if they were to be prompted with those statements than those that voluntarily indicated the response. Additionally, interview questions were customized based on stakeholder types, available time, and length of responses, meaning not all 112 subjects were asked the same questions. More information on the interview methodology can be found in the written thesis below. 

If you'd like to read the thesis associated with this dataset or learn more about the methods, here is the link: https://www.researchgate.net/publication/362196742_Assessment_of_Stakeholder_Perceptions_of_Ocean_Hazard_Risk_for_Coastal_InfrastructureRoadways_Maui_County_Hawai'i
DOI: 10.17632/hgdv28fzvh.1
title: ASSESSMENT OF STAKEHOLDER PERCEPTIONS OF OCEAN HAZARD RISK FOR COASTAL INFRASTRUCTURE/ROADWAYS, MAUI COUNTY, HAWAI‘I

description: Coastal roads in Maui County are at-risk of sea level rise and related coastal hazards. These roads are often the only way people travel, so the inundation and deterioration of coastal roads increases communities’ vulnerability and negatively impacts local economies and the everyday life of residents. Recognizing the urgency of this issue, Maui County and HDOT asked the Department of Civil and Environmental Engineering Coastal Hydraulics Engineering Resilience lab at University of Hawai‘i at Mānoa to create a plan to adapt coastal county roads for future coastal hazard scenarios, which is necessary for federal funding. 

To inform this project’s engineering design, a stakeholder assessment was conducted to ensure the most sustainable and culturally-sensitive development option is recommended. The assessment also helps Maui and the State of Hawaii Department of Transportation (HDOT) identify stakeholder needs. In addition to semi-structured interviews, a questionnaire ranking all possible coastal adaptation options was given. This project is focused on the islands of Maui and Molokai. Lāna‘i is not included, as the island does not have any coastal county roads. 

During the summer of 2021, a total of 112 subjects were interviewed and 102 stakeholders responded to the survey. This dataset contains the results from the study, along with information on stakeholder and respondent characteristics and represented areas. Results of the stakeholder assessment contain 1) stakeholder preferences of coastal road adaptation options, 2) areas and roads of stakeholder concern, 3) stakeholder desires surrounding coastal issues, 4) tools and information needed for stakeholders to prepare for coastal disasters and road disruptions, 5) identified barriers and limitations to adaptation, 6) information on current and upcoming stakeholder and government actions to increase resilience, and 7) information on government-resident experiences. 

Disclaimer: The results from the oral interviews were obtained through a series of extensive open-ended questions; meaning the answers depended on how the respondent chose to answer the question based on their priorities rather than being given a predetermined set of statements to agree or disagree with. Therefore, the actual number of respondents that agree with a statement may be higher if they were to be prompted with those statements than those that voluntarily indicated the response. Additionally, interview questions were customized based on stakeholder types, available time, and length of responses, meaning not all 112 subjects were asked the same questions. More information on the interview methodology can be found in the written thesis below. 

If you'd like to read the thesis associated with this dataset or learn more about the methods, here is the link: https://www.researchgate.net/publication/362196742_Assessment_of_Stakeholder_Perceptions_of_Ocean_Hazard_Risk_for_Coastal_InfrastructureRoadways_Maui_County_Hawai'i
DOI: 10.17632/hgdv28fzvh.5
title: ASSESSMENT OF STAKEHOLDER PERCEPTIONS OF OCEAN HAZARD RISK FOR COASTAL INFRASTRUCTURE/ROADWAYS, MAUI COUNTY, HAWAI‘I

description: *Specific use of any data requires authorization from the authors.

Coastal roads in Maui County are at-risk of sea level rise and coastal hazards. These roads are often the only way people travel, so the inundation and deterioration of coastal roads increases communities’ vulnerability and negatively impacts the everyday life of residents. Recognizing the urgency of this issue, Maui County and HDOT asked the Department of Civil and Environmental Engineering Coastal Hydraulics Engineering Resilience lab at University of Hawai‘i at Mānoa to help adapt coastal county roads for future coastal hazard scenarios. 

To inform this project’s engineering design, a stakeholder assessment was conducted to ensure the most sustainable and culturally-sensitive development option is recommended. The assessment also helps Maui and the State of Hawaii Department of Transportation (HDOT) identify stakeholder needs. In addition to semi-structured interviews, a questionnaire ranking all possible coastal adaptation options was given. This project is focused on the islands of Maui and Molokai. Lāna‘i is not included, as the island does not have any coastal county roads. 

During the summer of 2021, a total of 112 subjects were interviewed and 102 stakeholders responded to the survey. This dataset contains the results from the study, along with information on stakeholder and respondent characteristics and represented areas. Results of the stakeholder assessment contain 1) stakeholder preferences of coastal road adaptation options, 2) areas and roads of stakeholder concern, 3) stakeholder desires surrounding coastal issues, 4) tools and information needed for stakeholders to prepare for coastal disasters and road disruptions, 5) identified barriers and limitations to adaptation, 6) information on current and upcoming stakeholder and government actions to increase resilience, and 7) information on government-resident experiences. 

Disclaimer: The results from the oral interviews were obtained through a series of extensive open-ended questions; meaning the answers depended on how the respondent chose to answer the question based on their priorities rather than being given a predetermined set of statements to agree or disagree with. Therefore, the actual number of respondents that agree with a statement may be higher if they were to be prompted with those statements than those that voluntarily indicated the response. Additionally, interview questions were customized based on stakeholder types, available time, and length of responses, meaning not all 112 subjects were asked the same questions. More information on the interview methodology can be found in the written thesis below. 

If you'd like to read the thesis associated with this dataset or learn more about the methods, here is the link: https://www.researchgate.net/publication/362196742_Assessment_of_Stakeholder_Perceptions_of_Ocean_Hazard_Risk_for_Coastal_InfrastructureRoadways_Maui_County_Hawai'i
DOI: 10.17632/s2njncjd5s.1
title: Salivary gland cancer organoids are valid for preclinical genotype-oriented medical precision trials. Tomohiko Ishikawa et al.

description: ・Mutational signature from WES analysis.
・Cell viability assay using alamarblue.
・Imaging analysis using ImageJ.
・Western blotting unprocessed images.
DOI: 10.17632/pzhpzm9hrd.1
title: Graptemys datalogger

description: raw data files, python code, and r code
DOI: 10.17632/jn3k3hn4kz.1
title: The influence of nutrition knowledge, attitude, practices and dietary diversity on obesity among market women in the Cape Coast Metropolis, Ghana 

description: Dataset on 2 market sites (Kotokuraba and Abura) in the Cape Coast Metropolis, Ghana
DOI: 10.17632/k6h7vz6dvy.1
title: Synergistic pheromone antagonists perturb olfactory balance and reduce reproduction of invasive sea lamprey. Scott et al.

description: Summary: Sex pheromones impart maximal attraction when their components are present at optimal ratios that confer balanced olfactory inputs in potential mates.  Altering ratios or adding pheromone analogs to optimal mixtures may disrupt balanced olfactory antagonism and result in reduced attraction, however tests in natural populations are lacking.  We tested this hypothesis in sea lamprey (Petromyzon marinus), a fish whose male sex pheromone attracts females when two critical components, 3-keto petromyzonol sulfate (3kPZS) and petromyzonol sulfate (PZS), are present at certain ratios.  Here, we report a pheromone analog, petromyzonol tetrasulfate (3sPZS), reduced female attraction to 3kPZS but not to PZS.  3sPZS mixed with additional PZS synergistically disrupted female attraction to the male pheromone and reduced spawning by 97% in a high-density population.  Our results provide evidence of balanced olfactory antagonism in a vertebrate and establish a tactic to disrupt spawning of sea lamprey, a destructive invader of the Laurentian Great Lakes.
DOI: 10.17632/6pzx9z58n6.1
title: Primary health care nurses thriving - PHO survey data

description: Short answer survey data from one PHO for thematic analysis.
DOI: 10.17632/fmcbsxbzpg.1
title: Primary health care nurses thriving - National survey data

description: National survey data for structural equation analysis.
DOI: 10.5281/zenodo.7872446
title: OpenMM simulations of POPE using the CHARMM Drude2023 force field

description: <br> The dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from<br> each of 3 replicate simulations from the paper <br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203 <br> DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file; each file has frames spaced at 10 ps over a 50 ns interval.
description: The data files contain additional atom types for the Drude particles and oxygen lone pairs
DOI: 10.5281/zenodo.7871948
title: OpenMM simulations of POPC using the CHARMM Drude2023 force field

description: PSF, single CRD file, and DCD format trajectories for the final 200 ns of triplicate POPC simulations, from the publication <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion: Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda* https://doi.org/10.1021/acs.jctc.3c00203 DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file; each file has frames spaced at 10 ps over a 50 ns interval.
description: The data files contain additional atom types for the Drude particles and oxygen lone pairs
DOI: 10.5281/zenodo.7872341
title: OpenMM simulations of DOPC using the CHARMM Drude2023 force field

description: The dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from each of 3 replicate simulations from the paper <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203 <br> DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file; each file has frames spaced at 10 ps over a 50 ns interval.
description: The data files contain additional atom types for the Drude particles and oxygen lone pairs
DOI: 10.5281/zenodo.7872340
title: OpenMM simulations of DOPC using the CHARMM Drude2023 force field

description: The dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from each of 3 replicate simulations from the paper <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203 <br> DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file; each file has frames spaced at 10 ps over a 50 ns interval.
description: The data files contain additional atom types for the Drude particles and oxygen lone pairs
DOI: 10.22002/aevwq-2ps50
title: Example datasets used to demonstrate the R package tidyproteomics.

description: The analysis presented in this document is use to demo the code for the R package tidyproteomics. The underlying data is based on previously published and publicly available data [1]. Raw data was analyzed using ProteomeDiscoverer 2.5, FragPipe 19.1, and MaxQuant 1.6.10.43 with basic settings for mass tolerance and PTMs. The exported results are provided here.
Tidyproteomics is a suite of tools designed to facilitate the analysis of proteomics data with a focus on reproducibility and transparency. The project aims to provide a user-friendly platform for proteomics data analysis. To achieve this, tidyproteomics has been developed using open-source software and is available for anyone interested in proteomics analysis. The platform offers a range of analysis tools, including data pre-processing, normalization, visualization, and statistical analysis.1. Wang, Feng, Shan Li, Nadia Houerbi, and Tsui-Fen Chou. 2022. "Temporal Proteomics Reveal Specific Cell Cycle Oncoprotein Downregulation by p97/VCP Inhibition." Cell Chemical Biology 29 (3): 517–29.e5.
DOI: 10.5517/ccdc.csd.cc2bfr7s
title: CCDC 2158165: Experimental Crystal Structure Determination

description: Related Article: Anand Arul, Jerald Vijay Ramaclus|2023|CrystEngComm|25|2534|doi:10.1039/D3CE00090G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bjk3k
title: CCDC 2160858: Experimental Crystal Structure Determination

description: Related Article: Shao-Qian Yang, Ai-Jun Han, Yang Liu, Xin-Yuan Tang, Guo-Qiang Lin, Zhi-Tao He|2023|J.Am.Chem.Soc.|145|3915|doi:10.1021/jacs.2c11843
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bpznp
title: CCDC 2166083: Experimental Crystal Structure Determination

description: Related Article: Stefan Sander, Elizabeth J. Cosgrove, Robert Müller, Martin Kaupp, Thomas Braun|2023|Chem.-Eur.J.|29|e202202768|doi:10.1002/chem.202202768
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bpzrs
title: CCDC 2166086: Experimental Crystal Structure Determination

description: Related Article: Stefan Sander, Elizabeth J. Cosgrove, Robert Müller, Martin Kaupp, Thomas Braun|2023|Chem.-Eur.J.|29|e202202768|doi:10.1002/chem.202202768
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bq047
title: CCDC 2166098: Experimental Crystal Structure Determination

description: Related Article: Stefan Sander, Elizabeth J. Cosgrove, Robert Müller, Martin Kaupp, Thomas Braun|2023|Chem.-Eur.J.|29|e202202768|doi:10.1002/chem.202202768
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bpzwx
title: CCDC 2166090: Experimental Crystal Structure Determination

description: Related Article: Stefan Sander, Elizabeth J. Cosgrove, Robert Müller, Martin Kaupp, Thomas Braun|2023|Chem.-Eur.J.|29|e202202768|doi:10.1002/chem.202202768
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bq0kn
title: CCDC 2166111: Experimental Crystal Structure Determination

description: Related Article: Stefan Sander, Elizabeth J. Cosgrove, Robert Müller, Martin Kaupp, Thomas Braun|2023|Chem.-Eur.J.|29|e202202768|doi:10.1002/chem.202202768
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bvz7f
title: CCDC 2170875: Experimental Crystal Structure Determination

description: Related Article: Stefan Sander, Elizabeth J. Cosgrove, Robert Müller, Martin Kaupp, Thomas Braun|2023|Chem.-Eur.J.|29|e202202768|doi:10.1002/chem.202202768
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29bsr6
title: CCDC 2125538: Experimental Crystal Structure Determination

description: Related Article: Wenxuan Xue|2022|CSD Communication|||
description: Related Article: Wenxuan Xue, Zhiwei Zhu, Sanxia Chen, Bo You, Conghui Tang|2023|J.Am.Chem.Soc.|145|4142|doi:10.1021/jacs.2c12344
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c0gxs
title: CCDC 2175205: Experimental Crystal Structure Determination

description: Related Article: Léa Thai-Savard, André B. Charette|2023|Chem.Commun.|59|5273|doi:10.1039/D3CC00335C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c4d20
title: CCDC 2178961: Experimental Crystal Structure Determination

description: Related Article: Jiang Dai, Wei Xiong, Mu-Rong Du, Gang Wu, Zhongzheng Cai, Jian-Bo Zhu|2023|Sci.China.Chem.|66|251|doi:10.1007/s11426-022-1392-8
description: Related Article: jiang dai|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.