cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24534790.v3
title: Raw data of the manuscript: Facebook users' engagement with dental caries misinformation in Brazilian Portuguese

description: Data table referring to 500 Facebook posts related to dental caries, in Brazilian Portuguese, obtained through the CrowdTangle platform. Two independent investigators characterized the posts by their time of availability, author’s profile, motivation, the aim of content, content facticity, and sentiment. To determine differences and associations between dichotomized characteristics, the statistical analysis was performed by Mann-Whitney U and Chi-Square tests, and multiple logistic regression models. P values &lt;0.05 were considered significant.
DOI: 10.6084/m9.figshare.24534790.v2
title: Raw data of the manuscript: Facebook users' engagement with dental caries misinformation in Brazilian Portuguese

description: Data table referring to 500 Facebook posts related to dental caries, in Brazilian Portuguese, obtained through the CrowdTangle platform. Two independent investigators characterized the posts by their time of availability, author’s profile, motivation, the aim of content, content facticity, and sentiment. To determine differences and associations between dichotomized characteristics, the statistical analysis was performed by Mann-Whitney U and Chi-Square tests, and multiple logistic regression models. P values &lt;0.05 were considered significant.
DOI: 10.5517/ccdc.csd.cc2h9t4s
title: CCDC 2303335: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|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.
DOI: 10.5517/ccdc.csd.cc2h9t5t
title: CCDC 2303336: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|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.
DOI: 10.5517/ccdc.csd.cc2h9t6v
title: CCDC 2303337: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|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.
DOI: 10.5517/ccdc.csd.cc2h9t7w
title: CCDC 2303338: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|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.
DOI: 10.5281/zenodo.10090743
title: Data-driven parametrisation for Rayleigh-Bénard convection [DATASET 1/3]

description: This is dataset 1 of 3 associated with an Honours thesis submitted by Thomas Schanzer at the University of New South Wales in November 2023.
DOI: 10.5281/zenodo.10090744
title: Data-driven parametrisation for Rayleigh-Bénard convection [DATASET 1/3]

description: This is dataset 1 of 3 associated with an Honours thesis submitted by Thomas Schanzer at the University of New South Wales in November 2023.
DOI: 10.5281/zenodo.10093566
title: Data-driven parametrisation for Rayleigh-Bénard convection [DATASET 2/3]

description: This is dataset 2 of 3 associated with an Honours thesis submitted by Thomas Schanzer at the University of New South Wales in November 2023.
DOI: 10.5281/zenodo.10093567
title: Data-driven parametrisation for Rayleigh-Bénard convection [DATASET 2/3]

description: This is dataset 2 of 3 associated with an Honours thesis submitted by Thomas Schanzer at the University of New South Wales in November 2023.
DOI: 10.5281/zenodo.10094437
title: Data-driven parametrisation for Rayleigh-Bénard convection [DATASET 3/3]

description: This is dataset 3 of 3 associated with an Honours thesis submitted by Thomas Schanzer at the University of New South Wales in November 2023.
DOI: 10.5281/zenodo.10094438
title: Data-driven parametrisation for Rayleigh-Bénard convection [DATASET 3/3]

description: This is dataset 3 of 3 associated with an Honours thesis submitted by Thomas Schanzer at the University of New South Wales in November 2023.
DOI: 10.6073/pasta/8cfa96810a0c0b94a36bc9424351bb6e
title: Multiple Element Limitation in Northeast Hardwood Ecosystems (MELNHE): Net N mineralization at Hubbard Brook Experimental Forest, Bartlett Experimental Forest and Jeffers Brook, central NH USA, 2009 - 2017

description: The Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE) project studies N and P acquisition and limitation through a series of nutrient manipulations in northern hardwood forests. This data set includes net N mineralization measured in Oe, Oa, and mineral soil horizons in all 13 of the MELNHE study sites. Samples are collected every several years, beginning with pretreatment (2008 and 2009) through 2017, representing 3 years of N and P fertilization. Additional detail on the MELNHE project, including a datatable of site descriptions and a pdf file with the project description and diagram of plot configuration can be found in this data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=344 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station. The following papers describe and make use of these data: Kang H, Fahey TJ, Bae K, Fisk MC, Sherman RE, Yanai RD, See C. 2016. Response of forest soil respiration to nutrient addition depends on site fertility. Biogeochemistry 127:113-124. https://doi.org/10.1007. Ratliff TJ, Fisk MC. 2016. Phosphatase activity is related to N availability but not P availability across hardwood forests in the northeastern United States. Soil Biology and Biochemistry 94:61-69. https://doi.org/10.1016/j.soilbio.2015.11.009. Bae B, Fahey TJ, Yanai RD, Fisk MC. 2015. Soil nitrogen availability affects belowground carbon allocation and soil respiration in northern hardwood forests of New Hampshire. Ecosystems 18:1179-1191. https://doi.org/10.1007/s10021-015-9892-7. Fisk MC, Ratliff TJ, Goswami S, Yanai RD. 2014. Synergistic soil response to nitrogen plus phosphorus fertilization in hardwood forests. Biogeochemistry 118:195-204. https://doi.org/10.1007/s10533-013-9918-1.
DOI: 10.34740/kaggle/dsv/6933719
title: BBC News
DOI: 10.34740/kaggle/dsv/6933724
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.10095960
title: Environmental variables measured in 85 lakes across Canada

description: The file "env_variables_FWBpaper.csv" contains environmental variables from subset of 85 sampled as part of the NSERC Canadian Lake Pulse Network project over three summers (2017-2018-2019). Lake morphometry variables were either measured on site (lake depth), or obtained from HydroLAKES v. 1.0 (Messager et al. 2016). Water quality variables (water physical and chemical properties) were collected or measured at the deepest point of each lake, following the protocols from the NSERC Canadian Lake Pulse Network (2021). Watershed land use fractions were characterized for each lake, as described by Huot et al. (2019). Variables sampling depth and units are described in Paquette et al (2023).
References
Huot, Y., C. A. Brown, G. Potvin, and others. 2019. The NSERC Canadian Lake Pulse Network: A national assessment of lake health providing science for water management in a changing climate. Sci. Total Environ. 695: 133668. doi:10.1016/j.scitotenv.2019.133668
Messager, M. L., B. Lehner, G. Grill, I. Nedeva, and O. Schmitt. 2016. Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat. Commun. 7: 1–11. doi:10.1038/ncomms13603
NSERC Canadian Lake Pulse Network. 2021. NSERC Canadian Lake Pulse Network field manual 2017 - 2018 - 2019 surveys, M.-P. Varin, M.-L. Beaulieu, and Y. Huot [eds.]. Université de Sherbrooke.
Paquette, C., Gregory-Eaves, I. et Beisner B.E. (2023) Congruence of water column, contemporary and pre-industrial sediment cladoceran assemblages in 85 Canadian lakes of contrasting human impact levels. Freshwater Biology, 00, 1-18.
DOI: 10.5281/zenodo.10095961
title: Environmental variables measured in 85 lakes across Canada

description: The file "env_variables_FWBpaper.csv" contains environmental variables from subset of 85 sampled as part of the NSERC Canadian Lake Pulse Network project over three summers (2017-2018-2019). Lake morphometry variables were either measured on site (lake depth), or obtained from HydroLAKES v. 1.0 (Messager et al. 2016). Water quality variables (water physical and chemical properties) were collected or measured at the deepest point of each lake, following the protocols from the NSERC Canadian Lake Pulse Network (2021). Watershed land use fractions were characterized for each lake, as described by Huot et al. (2019). Variables sampling depth and units are described in Paquette et al (2023).
References
Huot, Y., C. A. Brown, G. Potvin, and others. 2019. The NSERC Canadian Lake Pulse Network: A national assessment of lake health providing science for water management in a changing climate. Sci. Total Environ. 695: 133668. doi:10.1016/j.scitotenv.2019.133668
Messager, M. L., B. Lehner, G. Grill, I. Nedeva, and O. Schmitt. 2016. Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat. Commun. 7: 1–11. doi:10.1038/ncomms13603
NSERC Canadian Lake Pulse Network. 2021. NSERC Canadian Lake Pulse Network field manual 2017 - 2018 - 2019 surveys, M.-P. Varin, M.-L. Beaulieu, and Y. Huot [eds.]. Université de Sherbrooke.
Paquette, C., Gregory-Eaves, I. et Beisner B.E. (2023) Congruence of water column, contemporary and pre-industrial sediment cladoceran assemblages in 85 Canadian lakes of contrasting human impact levels. Freshwater Biology, 00, 1-18.
DOI: 10.6084/m9.figshare.8299217
title: Transcriptomic analysis of mangosteen seed germination

description: Supporting materials for the transcriptomic analysis of Garcinia mangostana seed germination
DOI: 10.6084/m9.figshare.8299217.v1
title: Transcriptomic analysis of mangosteen seed germination

description: Supporting materials for the transcriptomic analysis of Garcinia mangostana seed germination
DOI: 10.25493/kb7f-4vw
title: Quantitative map of dopamine 1- and 2-receptor positive neurons in the developing and adult mouse brain (v1.0)

description: This dataset contains quantitative data describing the numbers, densities, and sizes of D1- and D2-receptor positive neurons across the mouse forebrain, acquired by analysing section images from the DOPAMAP collection. Image series from a total of 111 subjects across the five age groups (P17, P25, P35, P49, and P70) were analyzed. We used ilastik to segment cells in the images and combined the resulting segmentation images with reference atlas maps generated using QuickNII and VisuAlign. In this dataset, we provide the segmentation images and reference atlas maps used, as well as the raw output from the analysis and estimates of densities, numbers, and sizes derived from the analysis. We also provide the ilastik classifier used, which may be useful for analysing similar (DAB-stained) data. Together, this dataset provides all the data needed to inspect and explore our data, reproduce our analysis, or re-use the segmentation images with new atlas maps (e.g. with future versions of the Allen mouse brain CCF).
DOI: 10.57841/casdc.0003099
title: 球化退火态重载车轮钢CL70磨损性能及组织演化
DOI: 10.5281/zenodo.7743200
title: Supporting information for "Underscreening in concentrated electrolytes: Polyelectrolyte brushes exhibit re-entrant swelling behaviour"

description: This deposition contains the data and analysis (Jupyter notebooks) detailed in "Underscreening in concentrated electrolytes: Polyelectrolyte brushes exhibit re-entrant swelling behaviour". All Jupyter notebooks have also been converted into PDF files for ease of viewing. 


All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data.zip” archive. This archive contains three sub-directories: 


Spectroscopic_ellipsometry 



	

	
Data directory (data_files) containing all raw ellipsometry data. 
	
	

	
“PMETAC_wet_analysis.ipynb” notebooks to reproduce the analysis of a hydrated (solid-liquid) polymer brush. Further relevant plotting tools can be found in the refellips repo. 
	
	

	
“PMETAC_dry.ipynb” notebook to reproduce the analysis of the dry polymer film and create the areal maps. 
	



Neutron_reflectometry 



	

	
Data directory (NamedData) containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO. 
	
	

	
“NR_dry.ipynb”, “NR_Solid-Liquid.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively. 
	
	

	
“NR_Solid-Liquid_corefine.ipynb” notebook for reproducing the simultaneous optimisation of the PMETAC brush in D2O and H2O: co-refinement.  
	
	

	
Additional code required to model the hydrated polymer brush and various plotting tools can be found in the refnxtoolbox repo and the refnx repo. 
	



nSCFT 



	

	
Files containing the polymer, ion, and solvent VF profiles from nSCFT calculations.
DOI: 10.5281/zenodo.7743201
title: Supporting information for "Underscreening in concentrated electrolytes: Polyelectrolyte brushes exhibit re-entrant swelling behaviour"

description: This deposition contains the data and analysis (Jupyter notebooks) detailed in "Underscreening in concentrated electrolytes: Polyelectrolyte brushes exhibit re-entrant swelling behaviour". All Jupyter notebooks have also been converted into PDF files for ease of viewing. 


All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data.zip” archive. This archive contains three sub-directories: 


Spectroscopic_ellipsometry 



	

	
Data directory (data_files) containing all raw ellipsometry data. 
	
	

	
“PMETAC_wet_analysis.ipynb” notebooks to reproduce the analysis of a hydrated (solid-liquid) polymer brush. Further relevant plotting tools can be found in the refellips repo. 
	
	

	
“PMETAC_dry.ipynb” notebook to reproduce the analysis of the dry polymer film and create the areal maps. 
	



Neutron_reflectometry 



	

	
Data directory (NamedData) containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO. 
	
	

	
“NR_dry.ipynb”, “NR_Solid-Liquid.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively. 
	
	

	
“NR_Solid-Liquid_corefine.ipynb” notebook for reproducing the simultaneous optimisation of the PMETAC brush in D2O and H2O: co-refinement.  
	
	

	
Additional code required to model the hydrated polymer brush and various plotting tools can be found in the refnxtoolbox repo and the refnx repo. 
	



nSCFT 



	

	
Files containing the polymer, ion, and solvent VF profiles from nSCFT calculations.
DOI: 10.5281/zenodo.7359324
title: Supporting information for "Cosolvent effects on the structure and thermoresponse of a polymer brush: PNIPAM in DMSO-water mixtures"

description: This deposition contains the data and analysis (Jupyter notebooks) detailed in "Cosolvent effects on the structure and thermoresponse of a PNIPAM brush”. All Jupyter notebooks have also been converted into PDF files for ease of viewing.


All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains three sub-directories:



	
FTIR
	

		
FTIR transmission data of binary DMSO-water mixtures as a function of solvent composition.
		
FTIR deconvolution was performed using software readily available at https://github.com/haydenrob/spec_deconv.
	
	
	
Ellipsometry
	

		
Data directory containing all raw ellipsometry data.
		
“refellips_Spectroscopic_SL.ipynb” notebooks to reproduce the analysis of a hydrated (solid-liquid) polymer brush. Relevant plotting tools can be found in the refellips repo.
		
A spatial map of the polymer brush used for spectroscopic ellipsometry data analysis: “surface_map.png”.
		
“Ellipsometry_logistical_fitting.ipynb” notebook and “DMSO_6mol_results.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset.
	
	
	
Neutron_reflectometry
	

		
Data directory containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO.
		
“refnx_dry.ipynb” and “refnx_solvent.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively.
		
Additional code required to model the hydrated polymer brush and various plotting tools can be in the refnxtoolbox repo.
DOI: 10.5281/zenodo.7359325
title: Supporting information for "Cosolvent effects on the structure and thermoresponse of a polymer brush: PNIPAM in DMSO-water mixtures"

description: This deposition contains the data and analysis (Jupyter notebooks) detailed in "Cosolvent effects on the structure and thermoresponse of a PNIPAM brush”. All Jupyter notebooks have also been converted into PDF files for ease of viewing.


All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains three sub-directories:



	
FTIR
	

		
FTIR transmission data of binary DMSO-water mixtures as a function of solvent composition.
		
FTIR deconvolution was performed using software readily available at https://github.com/haydenrob/spec_deconv.
	
	
	
Ellipsometry
	

		
Data directory containing all raw ellipsometry data.
		
“refellips_Spectroscopic_SL.ipynb” notebooks to reproduce the analysis of a hydrated (solid-liquid) polymer brush. Relevant plotting tools can be found in the refellips repo.
		
A spatial map of the polymer brush used for spectroscopic ellipsometry data analysis: “surface_map.png”.
		
“Ellipsometry_logistical_fitting.ipynb” notebook and “DMSO_6mol_results.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset.
	
	
	
Neutron_reflectometry
	

		
Data directory containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO.
		
“refnx_dry.ipynb” and “refnx_solvent.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively.
		
Additional code required to model the hydrated polymer brush and various plotting tools can be in the refnxtoolbox repo.
DOI: 10.5281/zenodo.7008931
title: Supporting Information for "From Hofmeister to hydrotrope: Effect of anion hydrocarbon chain length on a polymer brush"

description: This deposition contains the data and analysis (Jupyter notebooks) detailed in “From Hofmeister to hydrotrope: Effect of anion hydrocarbon chain length on a polymer brush”. All Jupyter notebooks have also been converted into PDF files for ease of viewing.


All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains four sub-directories:



	
Computional_data
	

		
Optimised geometry files (.xyz) for all short chain fatty acid (SCFA) anion-solvent and anion-NIPAM fragment structures.
		
Summary of analysed data (“SAPT_computational_data.xlsx”) describing the different interaction energies between a SCFA anion-NIPAM fragment and anion-solvent: electrostatic, exchange, induction, dispersion and total interaction energy contributions.
	
	
	
Ellipsometry
	

		
Data directory containing all raw ellipsometry data.
		
“refellips_Dry.ipynb” and “refellips_Spectroscopic_SL.ipynb” notebooks to reproduce the analysis of a dry (solid-air) and hydrated (solid-liquid) polymer brush, respectively. 
		
A spatial map of the polymer brush used for spectroscopic ellipsometry data analysis: “PNIPAM_brush_spatial_map.png”.
		
“Ellipsometry_sigmoid_fitting.ipynb” notebook and “Water_data.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset. Relevant plotting tools can be found in the refellips repo.
	
	
	
Neutron_reflectometry
	

		
Data directory containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO.
		
“refnx_dry.ipynb”, “refnx_D2O.ipynb” and “refnx_SCFA_electrolytes.ipynb notebooks required to reproduce the analysis pertaining to a dry, polymer brush and a brush exposed to pure D2O and various SCFA electrolytes, respectively.
		
Additional code required to model the hydrated polymer brush and various plotting tools can be in the refnxtoolbox repo.
	
	
	
QCMD_data
	

		
Data directory containing all processed QCM-D data (.csv)
DOI: 10.5281/zenodo.7008932
title: Supporting Information for "From Hofmeister to hydrotrope: Effect of anion hydrocarbon chain length on a polymer brush"

description: This deposition contains the data and analysis (Jupyter notebooks) detailed in “From Hofmeister to hydrotrope: Effect of anion hydrocarbon chain length on a polymer brush”. All Jupyter notebooks have also been converted into PDF files for ease of viewing.


All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains four sub-directories:



	
Computional_data
	

		
Optimised geometry files (.xyz) for all short chain fatty acid (SCFA) anion-solvent and anion-NIPAM fragment structures.
		
Summary of analysed data (“SAPT_computational_data.xlsx”) describing the different interaction energies between a SCFA anion-NIPAM fragment and anion-solvent: electrostatic, exchange, induction, dispersion and total interaction energy contributions.
	
	
	
Ellipsometry
	

		
Data directory containing all raw ellipsometry data.
		
“refellips_Dry.ipynb” and “refellips_Spectroscopic_SL.ipynb” notebooks to reproduce the analysis of a dry (solid-air) and hydrated (solid-liquid) polymer brush, respectively. 
		
A spatial map of the polymer brush used for spectroscopic ellipsometry data analysis: “PNIPAM_brush_spatial_map.png”.
		
“Ellipsometry_sigmoid_fitting.ipynb” notebook and “Water_data.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset. Relevant plotting tools can be found in the refellips repo.
	
	
	
Neutron_reflectometry
	

		
Data directory containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO.
		
“refnx_dry.ipynb”, “refnx_D2O.ipynb” and “refnx_SCFA_electrolytes.ipynb notebooks required to reproduce the analysis pertaining to a dry, polymer brush and a brush exposed to pure D2O and various SCFA electrolytes, respectively.
		
Additional code required to model the hydrated polymer brush and various plotting tools can be in the refnxtoolbox repo.
	
	
	
QCMD_data
	

		
Data directory containing all processed QCM-D data (.csv)