cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4638670
title: Raw and analyted data for manuscript: "Effect of sanding and plasma treatment of 3D printed parts on bonding to wood with PVAc adhesive"

description: Abstract: Additive manufacturing is becoming increasingly important for manufacturing end products, not just prototyping. However, the size of 3D printed products is limited due to available printer sizes and technological limitations. For example, making furniture from 3D printed parts and wooden elements requires adequate adhesive joints. Since materials for 3D printing usually do not bond very well with adhesives designed for woodworking, they require special surface preparation to improve adhesion. In this study, fused deposition modeling (FDM) 3D printed parts made of polylactic acid (PLA), polylactic acid with wood flour additive (Wood-PLA), and acrylonitrile-butadiene-styrene (ABS) polymers were bonded to wood with polyvinyl acetate (PVAc) adhesive. The surfaces of the samples were bonded either non-treated, sanded, plasma-treated, or sanded and plasma-treated to evaluate the effect of each surface preparation on the bondability of the 3D-printed surfaces. Different surface preparation affected bond shear strength. The plasma treatment significantly reduced water contact angles on all tested printing materials and increased the bond tensile shear strength for used adhesive. The increase in bond strength was highest for both, sanded and plasma-treated surfaces. The highest increase was found for the ABS material (untreated 0 MPa; sanded and plasma-treated 4.83 MPa) followed by Wood-PLA (from 0.45 MPa to 3.96 MPa) and PLA (from 0.55 MPa to 3.72 MPa). Analysis with scanning electron microscope showed smooth surfaces of 3D-printed parts, which become rougher with sanding with more protruded particles, but plasma treatment partially melted surface structures on the thermoplastic polymer surfaces. Article to be published in MDPI Polymers
description: Submitted to MDPI polymers
DOI: 10.5281/zenodo.4624919
title: Raw and analyted data for manuscript: "Effect of sanding and plasma treatment of 3D printed parts on bonding to wood with PVAc adhesive"

description: Abstract: Additive manufacturing is becoming increasingly important for manufacturing end products, not just prototyping. However, the size of 3D printed products is limited due to available printer sizes and technological limitations. For example, making furniture from 3D printed parts and wooden elements requires adequate adhesive joints. Since materials for 3D printing usually do not bond very well with adhesives designed for woodworking, they require special surface preparation to improve adhesion. In this study, fused deposition modeling (FDM) 3D printed parts made of polylactic acid (PLA), polylactic acid with wood flour additive (Wood-PLA), and acrylonitrile-butadiene-styrene (ABS) polymers were bonded to wood with polyvinyl acetate (PVAc) adhesive. The surfaces of the samples were bonded either non-treated, sanded, plasma-treated, or sanded and plasma-treated to evaluate the effect of each surface preparation on the bondability of the 3D-printed surfaces. Different surface preparation affected bond shear strength. The plasma treatment significantly reduced water contact angles on all tested printing materials and increased the bond tensile shear strength for used adhesive. The increase in bond strength was highest for both, sanded and plasma-treated surfaces. The highest increase was found for the ABS material (untreated 0 MPa; sanded and plasma-treated 4.83 MPa) followed by Wood-PLA (from 0.45 MPa to 3.96 MPa) and PLA (from 0.55 MPa to 3.72 MPa). Analysis with scanning electron microscope showed smooth surfaces of 3D-printed parts, which become rougher with sanding with more protruded particles, but plasma treatment partially melted surface structures on the thermoplastic polymer surfaces. Article to be published in MDPI Polymers
description: Submitted to MDPI polymers
DOI: 10.6084/m9.figshare.14315810
title: Supplementary Material for: Fertility of Women Treated during Childhood with Triptorelin (Depot Formulation) for Central Precocious Puberty: The PREFER Study

description: <b><i>Background:</i></b> Gonadotropin-releasing hormone analogues (GnRHa) administered as depot formulations are the standard of care for children with central precocious puberty (CPP). Puberty resumes after treatment discontinuation, but little is known concerning fertility in women who have been treated with GnRHa for CPP during childhood. <b><i>Methods:</i></b> The PREFER (PREcocious puberty, FERtility) study prospectively analysed fertility, via a series of questionnaires, in women treated during childhood with triptorelin (depot formulation) for CPP. Co-primary endpoints were the proportion of women wanting a pregnancy any time before study inclusion and during the follow-up period but not pregnant 6 and 12 months after stopping contraception and the waiting time to pregnancy (WTP). <b><i>Results:</i></b> A total of 574 women were identified, and 194 women were included in the analysis. Although there were not enough data for primary endpoint assessment, few women (1.7%) reported issues with fertility or were unable to become pregnant despite trying to conceive. Most pregnancies (84.4%, 95% CI [67.2–94.7%]) occurred within 1 year of trying to conceive, in line with the WTP for women without previous CPP. <b><i>Conclusion:</i></b> The results, based on a limited sample of patients, suggest that CPP treated with triptorelin does not negatively impact women’s fertility in adulthood. These results need to be consolidated with a subsequent study performed when these women will have reached their mid-thirties.
DOI: 10.5281/zenodo.4638728
title: Scaffold-directed face selectivity Machine-Learned from vectors of non-covalent interactions - Reaction IDs

description: CSV file containing Reaction IDs along with reaction class (DA - Diels Alder cycloaddition, MA - Michael Additon) used in publication titled "Scaffold-directed face selectivity Machine-Learned from vectors of non-covalent interactions"
DOI: 10.5281/zenodo.4638727
title: Scaffold-directed face selectivity Machine-Learned from vectors of non-covalent interactions - Reaction IDs

description: CSV file containing Reaction IDs along with reaction class (DA - Diels Alder cycloaddition, MA - Michael Additon) used in publication titled "Scaffold-directed face selectivity Machine-Learned from vectors of non-covalent interactions"
DOI: 10.5517/ccdc.csd.ccqkn63
title: CCDC 672365: Experimental Crystal Structure Determination

description: Related Article: Donglin Shang, Ruide Xue, Lixia Ling, Junping Han, Aihong Li, Nan Yang, Baojun Wang, Jianping Guo, Shengdi Bai|2021|J.Mol.Struct.|1234|130203|doi:10.1016/j.molstruc.2021.130203
DOI: 10.5517/ccdc.csd.ccqkn2z
title: CCDC 672361: Experimental Crystal Structure Determination

description: Related Article: Donglin Shang, Ruide Xue, Lixia Ling, Junping Han, Aihong Li, Nan Yang, Baojun Wang, Jianping Guo, Shengdi Bai|2021|J.Mol.Struct.|1234|130203|doi:10.1016/j.molstruc.2021.130203
DOI: 10.5517/ccdc.csd.ccqkn1y
title: CCDC 672360: Experimental Crystal Structure Determination

description: Related Article: Donglin Shang, Ruide Xue, Lixia Ling, Junping Han, Aihong Li, Nan Yang, Baojun Wang, Jianping Guo, Shengdi Bai|2021|J.Mol.Struct.|1234|130203|doi:10.1016/j.molstruc.2021.130203
DOI: 10.5517/ccdc.csd.cc21vgyb
title: CCDC 1902282: Experimental Crystal Structure Determination

description: Related Article: Mokshada Varma, Bhupendra Shravage, Sakharam Tayade, Avinash Kumbhar, Ray Butcher, Vinod Jani, Uddhavesh Sonavane, Rajendra Joshi, Prasad P. Kulkarni|2021|J.Mol.Struct.|1235|130265|doi:10.1016/j.molstruc.2021.130265
DOI: 10.5517/ccdc.csd.cc24r479
title: CCDC 1988440: Experimental Crystal Structure Determination

description: Related Article: Naoki Ousaka, Manabu Itakura, Akira Nagasaka, Masaki Ito, Tomonari Hattori, Daisuke Taura, Tomoyuki Ikai, Eiji Yashima|2021|J.Am.Chem.Soc.|143|4346|doi:10.1021/jacs.0c13351
DOI: 10.5517/ccdc.csd.cc24r48b
title: CCDC 1988441: Experimental Crystal Structure Determination

description: Related Article: Naoki Ousaka, Manabu Itakura, Akira Nagasaka, Masaki Ito, Tomonari Hattori, Daisuke Taura, Tomoyuki Ikai, Eiji Yashima|2021|J.Am.Chem.Soc.|143|4346|doi:10.1021/jacs.0c13351
DOI: 10.5517/ccdc.csd.cc25mylc
title: CCDC 2015173: Experimental Crystal Structure Determination

description: Related Article: Kazuhide Nakahara, Koki Yamaguchi, Hisao Kansui|2021|Heterocycles|102|534|doi:10.3987/COM-20-14401
DOI: 10.5517/ccdc.csd.cc25q6hm
title: CCDC 2017340: Experimental Crystal Structure Determination

description: Related Article: Zhixu Zhou, Ye Liu, Qian Ren, Dehou Yu, Hongguang Lu|2021|J.Mol.Struct.|1235|130261|doi:10.1016/j.molstruc.2021.130261
DOI: 10.5517/ccdc.csd.cc266rx3
title: CCDC 2032295: Experimental Crystal Structure Determination

description: Related Article: Amani Direm, Brahim El Bali, Koray Sayin, Mohammed S.M. Abdelbaky, Santiago García-Granda|2021|J.Mol.Struct.|1235|130266|doi:10.1016/j.molstruc.2021.130266
DOI: 10.5517/ccdc.csd.cc26nkjz
title: CCDC 2045551: Experimental Crystal Structure Determination

description: Related Article: Vanessa Nahrstedt, Daniel Stadler, Thomas Fischer, Tomáš Duchoň, David N. Mueller, Claus M. Schneider, Sanjay Mathur|2021|Inorg.Chem.|60|3719|doi:10.1021/acs.inorgchem.0c03425
DOI: 10.5517/ccdc.csd.cc26nkm2
title: CCDC 2045554: Experimental Crystal Structure Determination

description: Related Article: Vanessa Nahrstedt, Daniel Stadler, Thomas Fischer, Tomáš Duchoň, David N. Mueller, Claus M. Schneider, Sanjay Mathur|2021|Inorg.Chem.|60|3719|doi:10.1021/acs.inorgchem.0c03425
DOI: 10.5517/ccdc.csd.cc26nkn3
title: CCDC 2045555: Experimental Crystal Structure Determination

description: Related Article: Vanessa Nahrstedt, Daniel Stadler, Thomas Fischer, Tomáš Duchoň, David N. Mueller, Claus M. Schneider, Sanjay Mathur|2021|Inorg.Chem.|60|3719|doi:10.1021/acs.inorgchem.0c03425
DOI: 10.5517/ccdc.csd.cc26yswv
title: CCDC 2054428: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Samuel Nees, Thomas Kupfer, James T. Goettel, Holger Braunschweig, Christian Hering-Junghans|2021|J.Am.Chem.Soc.|143|4106|doi:10.1021/jacs.1c00204
DOI: 10.5517/ccdc.csd.cc26ysxw
title: CCDC 2054429: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Samuel Nees, Thomas Kupfer, James T. Goettel, Holger Braunschweig, Christian Hering-Junghans|2021|J.Am.Chem.Soc.|143|4106|doi:10.1021/jacs.1c00204
DOI: 10.5517/ccdc.csd.cc26ysyx
title: CCDC 2054430: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Samuel Nees, Thomas Kupfer, James T. Goettel, Holger Braunschweig, Christian Hering-Junghans|2021|J.Am.Chem.Soc.|143|4106|doi:10.1021/jacs.1c00204
DOI: 10.5517/ccdc.csd.cc26yszy
title: CCDC 2054431: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Samuel Nees, Thomas Kupfer, James T. Goettel, Holger Braunschweig, Christian Hering-Junghans|2021|J.Am.Chem.Soc.|143|4106|doi:10.1021/jacs.1c00204
DOI: 10.5517/ccdc.csd.cc26yt00
title: CCDC 2054432: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Samuel Nees, Thomas Kupfer, James T. Goettel, Holger Braunschweig, Christian Hering-Junghans|2021|J.Am.Chem.Soc.|143|4106|doi:10.1021/jacs.1c00204
DOI: 10.5517/ccdc.csd.cc26yt11
title: CCDC 2054433: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Samuel Nees, Thomas Kupfer, James T. Goettel, Holger Braunschweig, Christian Hering-Junghans|2021|J.Am.Chem.Soc.|143|4106|doi:10.1021/jacs.1c00204
DOI: 10.5517/ccdc.csd.cc26zhmb
title: CCDC 2055102: Experimental Crystal Structure Determination

description: Related Article: Dong-Li Zhang, Min Li, Wen-Feng Xu, Huan Yu, Peng-Fei Jin, Shao-Yong Li, Sheng-An Tang|2021|Fitoterapia|151|104868|doi:10.1016/j.fitote.2021.104868
DOI: 10.5281/zenodo.3931771
title: What is the Price of Tea in China? Goods Prices and Availability in Chinese Cities

description: This is the replication package for the paper "What is the Price of Tea in China? Goods Prices and Availability in Chinese Cities", published at the Economic Journal.
DOI: 10.5281/zenodo.3961384
title: Adjustment costs and factor demand: New evidence from firms' real estate - Replication packages

description: This is the replication package associated with the article "Adjustment costs and factor demand. New evidence from firms’ real estate" published in Economic Journal.
DOI: 10.5281/zenodo.3961383
title: Adjustment costs and factor demand: New evidence from firms' real estate - Replication packages

description: This is the replication package associated with the article "Adjustment costs and factor demand. New evidence from firms’ real estate" published in Economic Journal.
DOI: 10.5281/zenodo.3931770
title: What is the Price of Tea in China? Goods Prices and Availability in Chinese Cities

description: This is the replication package for the paper "What is the Price of Tea in China? Goods Prices and Availability in Chinese Cities", published at the Economic Journal.
DOI: 10.15161/oar.it/73608
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.14180090.v1
title: Supplementary files - ORs in teleost

description: Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Functional genes : ALL_species_functionnals.fa<br>Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Truncated / Edge genes : ALL_species_incomplete.fa<br>Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Pseudogenes : ALL_species_Pseudogenes.fa<br>Version of genomes used for this study, assembly sizes, expected genome sizes, BUSCO assessment results, olfactory receptor gene count, olfactory epithelium shape, ecological data as well as NOTUNG results are available in the Supplementary Table 1 : Supplementary_table.xlsx<br>BUSCO assessment results in graphic format : BUSCO_results.pdf<br>Phylogenetic trees (Newick format) used in this study are also available : 309 genomes : Species_Tree_fishtreeorg.nwk<br>Phylogenetic trees (Newick format) used in this study are also available : FigSupp11 : Rosette_tree.nwkPhylogenetic trees (Newick format) used in this study are also available : Fig2 : NodeLabeled_BUSCO90_species_tree.nwk<br>Species used for fig supp5 : Species_used_for_OR_phylogeny.txt<br>Simulation of gene decay recognition : Simulation_pseudogene_recognition.py
DOI: 10.6084/m9.figshare.14315539.v1
title: Human_Subjects_Audio_ID_20.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14315533.v1
title: Human_Subjects_Audio_ID_19.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14308807.v1
title: Human_Subjects_Audio_ID_16.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14308716.v1
title: Human_Subjects_Audio_ID_13.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14308713.v1
title: Human_Subjects_Audio_ID_12.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.17870/bathspa.14248847.v1
title: 6a. The Great Margin - Marginalia (Images)

description: Stemming from research led by Soyinka since 2016, this research ​addressed a lack of inclusive models for collaborative writing. It engaged with a growing body of research seeking to foster empathy and equality within the arts. The summative output,​ <i>The Great Margin</i>,​ is a curatorial project underpinned by two new pedagogical resources: ​<i>Dare to Write?</i> and ​<i>The​ ​Writer’s Cycle</i>.<br>This item contains photographs of relevant activities as contextualising information. <br>Used with permission. <br>A further guide to each of the images is located in the appendices item, along with a document detailing all project credits.
DOI: 10.6084/m9.figshare.14315539
title: Human_Subjects_Audio_ID_20.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14315533
title: Human_Subjects_Audio_ID_19.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14315518
title: Human_Subjects_Audio_ID_18.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14308807
title: Human_Subjects_Audio_ID_16.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14308804
title: Human_Subjects_Audio_ID_17.zip

description: All recordings and source files for the measurements with this subject. For details, please see the "Methods" section of the publication "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users".
DOI: 10.6084/m9.figshare.14315852
title: Tabulation of data research

description: This tabulation of data is an important point for field and archive findings, in the form of maps, photographs, and so on.
DOI: 10.6084/m9.figshare.14315852.v1
title: Tabulation of data research

description: This tabulation of data is an important point for field and archive findings, in the form of maps, photographs, and so on.
DOI: 10.6084/m9.figshare.14210651
title: Outlier SNP positions in three-spined stickleback and nine-spined stickleback

description: Data files containing all outlier SNP positions in three-spined stickleback and nine-spined stickleback individuals used for the study:<br><br>"Adaptive divergence under gene flow along an environmental gradient in two coexisting stickleback species"<br>(https://doi.org/10.3390/genes12030435).
DOI: 10.6084/m9.figshare.14210651.v1
title: Outlier SNP positions in three-spined stickleback and nine-spined stickleback

description: Data files containing all outlier SNP positions in three-spined stickleback and nine-spined stickleback individuals used for the study:<br><br>"Adaptive divergence under gene flow along an environmental gradient in two coexisting stickleback species"<br>(https://doi.org/10.3390/genes12030435).
DOI: 10.5281/zenodo.4638795
title: Exploring the diversity of fungal DyPs in mangrove soils

description: Table S1_2_3 and figS1 of the manuscript Ben Ayed et al. 2021
DOI: 10.5281/zenodo.4638794
title: Exploring the diversity of fungal DyPs in mangrove soils

description: Table S1_2_3 and figS1 of the manuscript Ben Ayed et al. 2021
DOI: 10.6084/m9.figshare.14180090
title: Supplementary files - ORs in teleost

description: Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Functional genes : ALL_species_functionnals.fa<br>Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Truncated / Edge genes : ALL_species_incomplete.fa<br>Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Pseudogenes : ALL_species_Pseudogenes.fa<br>Version of genomes used for this study, assembly sizes, expected genome sizes, BUSCO assessment results, olfactory receptor gene count, olfactory epithelium shape, ecological data as well as NOTUNG results are available in the Supplementary Table 1 : Supplementary_table.xlsx<br>BUSCO assessment results in graphic format : BUSCO_results.pdf<br>Phylogenetic trees (Newick format) used in this study are also available : 309 genomes : Species_Tree_fishtreeorg.nwk<br>Phylogenetic trees (Newick format) used in this study are also available : FigSupp11 : Rosette_tree.nwkPhylogenetic trees (Newick format) used in this study are also available : Fig2 : NodeLabeled_BUSCO90_species_tree.nwk<br>Species used for fig supp5 : Species_used_for_OR_phylogeny.txt<br>Simulation of gene decay recognition : Simulation_pseudogene_recognition.py
DOI: 10.6084/m9.figshare.14180090.v3
title: Supplementary files - ORs in teleost

description: Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Functional genes : ALL_species_functionnals.fa<br>Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Truncated / Edge genes : ALL_species_incomplete.fa<br>Nucleotide sequences of the olfactory receptor genes are provided in FASTA format : Pseudogenes : ALL_species_Pseudogenes.fa<br>Version of genomes used for this study, assembly sizes, expected genome sizes, BUSCO assessment results, olfactory receptor gene count, olfactory epithelium shape, ecological data as well as NOTUNG results are available in the Supplementary Table 1 : Supplementary_table.xlsx<br>BUSCO assessment results in graphic format : BUSCO_results.pdf<br>Phylogenetic trees (Newick format) used in this study are also available : 309 genomes : Species_Tree_fishtreeorg.nwk<br>Phylogenetic trees (Newick format) used in this study are also available : FigSupp11 : Rosette_tree.nwkPhylogenetic trees (Newick format) used in this study are also available : Fig2 : NodeLabeled_BUSCO90_species_tree.nwk<br>Species used for fig supp5 : Species_used_for_OR_phylogeny.txt<br>Simulation of gene decay recognition : Simulation_pseudogene_recognition.py