cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14473/csda/7tms4l
title: Volný čas a sport (ISSP 2007) - Česká republika

description: Mezinárodní program výzkumů ISSP:ISSP (International Social Survey Programme) je dlouhodobý mezinárodní výzkumný projekt, který existuje od roku 1983. Tento výzkumný projekt je založen na mezinárodní a meziprojektové spolupráci v oblasti výzkumu v sociálních vědách. Je zaměřen na významná témata týkající se postojů. ISSP kombinuje dvě roviny srovnání - srovnání v mezinárodní a v časové perspektivě. Výzkumné aktivity probíhají nepřetržitě v ročních cyklech. Výzkum navazuje na předchozí šetření Pracovní orientace, které proběhlo v rámci mezinárodního projektu ISSP (lnternationaí Social Suwey Programme) v České republice v roce 1997. Tým v každé ze zemí participujících ve výzkumu ISSP 1999 aplikoval identický modul dotazníku vyvinutý mezinárodním výzkumným týmem. Výzkum byl proveden v rámci projektu Sdílené hodnoty a normy chování jako zdroj posilování sociální koheze a překonávání negativních dopadů sociální diferenciace v ČR.
DOI: 10.25420/britishmuseum.24428551
title: Banchong Ngoenthongdi's consent form

description: Banchong Ngoenthongdi's consent form
DOI: 10.25420/britishmuseum.24428551.v1
title: Banchong Ngoenthongdi's consent form

description: Banchong Ngoenthongdi's consent form
DOI: 10.17638/datacat.liverpool.ac.uk/2500
title: Data for "The Functional and Anatomical Impacts of Healthy Muscle Ageing"

description: Magnetic resonance and diffusion tensor images of each Aged individual included in "Charles, J.P.; Bates, K.T. The Functional and Anatomical Impacts of Healthy Muscle Ageing. Biology 2023, 12"
DOI: 10.25420/britishmuseum.24428554
title: Samruay Haewpetch's consent form

description: Samruay Haewpetch's consent form
DOI: 10.25420/britishmuseum.24428554.v1
title: Samruay Haewpetch's consent form

description: Samruay Haewpetch's consent form
DOI: 10.6084/m9.figshare.22581196
title: R Data Package for Long et al. v1.0.0

description: This is an R data package containing the source data for the scRNA-seq analysis in the Long et al. paper. This package contains only data and is meant to be used together with the analysis code available at https://github.com/blaserlab/baiocchi_long. <br> Steps to Reproduce Selected Figures <br> 1. System Requirements R v4.2 or greater Rstudio This software has been tested on Linux Ubuntu 18.04.6 and Windows 10 Loading the complete dataset occupies approximately 4 GB memory. <br> 2. Installation download this data set in a convenient location on your system. This contains the processed data required for this analysis project to function. clone the analysis project to your computer using git clone https://github.com/blaserlab/baiocchi_long.git open the R project by double-clicking on the baiocchi_long.Rproj file a list of the packages required for the project can be found in library_catalogs/blas02_baiocchi_lnog.tsv. Filter for packages with status == "active". Install these packages. install custom packages from our R Universe repository using these commands: install.packages('blaseRtools', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org')) install.packages('blaseRtemplates', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org')) install.packages('blaseRdata', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org')) source R/dependencies.R (the final line in that file must be edited to point to the directory containing the data package) source R/configs.R (the file paths defining the figs_out and tables_out variables should be customized for your system) typical time required for the first installation and data loading is approximately 15 minutes. This excludes the time required to download the data package. <br> 3. Instructions for use after installing and configuring source R/dependencies.R source R/configs.R run the code on manuscript_figs.R to generate the desired figure each data object used to generate a figure has it's own help manual type ?data_object_name to get the help manual to review the processing code used to generate that data object, go to the installed location of baiocchi.long.datapkg on your system, enter the data-raw directory and run grep --include=*.R -rnw '.' -e "data_object_name"
DOI: 10.6084/m9.figshare.22581196.v1
title: R Data Package for Long et al. v1.0.0

description: This is an R data package containing the source data for the scRNA-seq analysis in the Long et al. paper. This package contains only data and is meant to be used together with the analysis code available at https://github.com/blaserlab/baiocchi_long. <br> Steps to Reproduce Selected Figures <br> 1. System Requirements R v4.2 or greater Rstudio This software has been tested on Linux Ubuntu 18.04.6 and Windows 10 Loading the complete dataset occupies approximately 4 GB memory. <br> 2. Installation download this data set in a convenient location on your system. This contains the processed data required for this analysis project to function. clone the analysis project to your computer using git clone https://github.com/blaserlab/baiocchi_long.git open the R project by double-clicking on the baiocchi_long.Rproj file a list of the packages required for the project can be found in library_catalogs/blas02_baiocchi_lnog.tsv. Filter for packages with status == "active". Install these packages. install custom packages from our R Universe repository using these commands: install.packages('blaseRtools', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org')) install.packages('blaseRtemplates', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org')) install.packages('blaseRdata', repos = c('https://blaserlab.r-universe.dev', 'https://cloud.r-project.org')) source R/dependencies.R (the final line in that file must be edited to point to the directory containing the data package) source R/configs.R (the file paths defining the figs_out and tables_out variables should be customized for your system) typical time required for the first installation and data loading is approximately 15 minutes. This excludes the time required to download the data package. <br> 3. Instructions for use after installing and configuring source R/dependencies.R source R/configs.R run the code on manuscript_figs.R to generate the desired figure each data object used to generate a figure has it's own help manual type ?data_object_name to get the help manual to review the processing code used to generate that data object, go to the installed location of baiocchi.long.datapkg on your system, enter the data-raw directory and run grep --include=*.R -rnw '.' -e "data_object_name"
DOI: 10.25420/britishmuseum.24428557
title: Bunseam Sisan's consent form

description: Bunseam Sisan's consent form
DOI: 10.25420/britishmuseum.24428557.v1
title: Bunseam Sisan's consent form

description: Bunseam Sisan's consent form
DOI: 10.25420/britishmuseum.24428563
title: Thaew Kaewta's consent form

description: Thaew Kaewta's consent form
DOI: 10.25420/britishmuseum.24428563.v1
title: Thaew Kaewta's consent form

description: Thaew Kaewta's consent form
DOI: 10.25420/britishmuseum.24428566
title: Samood Tamasiri's consent form

description: Samood Tamasiri's consent form
DOI: 10.25420/britishmuseum.24428566.v1
title: Samood Tamasiri's consent form

description: Samood Tamasiri's consent form
DOI: 10.25420/britishmuseum.24428569
title: Mood Haewpet's consent form

description: Mood Haewpet's consent form
DOI: 10.25420/britishmuseum.24428569.v1
title: Mood Haewpet's consent form

description: Mood Haewpet's consent form
DOI: 10.25420/britishmuseum.24428572
title: Suthira Saehan's consent form

description: Suthira Saehan's consent form
DOI: 10.25420/britishmuseum.24428572.v1
title: Suthira Saehan's consent form

description: Suthira Saehan's consent form
DOI: 10.25420/britishmuseum.24428575
title: Khemploy Punperm's consent form

description: Khemploy Punperm's consent form
DOI: 10.25420/britishmuseum.24428575.v1
title: Khemploy Punperm's consent form

description: Khemploy Punperm's consent form
DOI: 10.25420/britishmuseum.24428578
title: Ratree Punpoem's consent form

description: Ratree Punpoem's consent form
DOI: 10.25420/britishmuseum.24428578.v1
title: Ratree Punpoem's consent form

description: Ratree Punpoem's consent form
DOI: 10.6084/m9.figshare.24435085
title: Capstone Sustainability Survey Data (Shareable Format).xlsx

description: The doctoral capstone is a distinctive part of the growing entry-level occupational therapy doctoral programs. A survey of doctoral capstone coordinators was conducted to ascertain aspects of doctoral capstone curricular design and site sustainability. We asked questions about doctoral capstone structure and timing within the curriculum as well as the focus on types of site placements. How might programs and doctoral capstone sites benefit from additional information on program structure? The information might benefit programs and sites to promote the sustainable use of doctoral capstone sites across the nation. Detailed data is shared via a repository. <br>
DOI: 10.6084/m9.figshare.24435085.v1
title: Capstone Sustainability Survey Data (Shareable Format).xlsx

description: The doctoral capstone is a distinctive part of the growing entry-level occupational therapy doctoral programs. A survey of doctoral capstone coordinators was conducted to ascertain aspects of doctoral capstone curricular design and site sustainability. We asked questions about doctoral capstone structure and timing within the curriculum as well as the focus on types of site placements. How might programs and doctoral capstone sites benefit from additional information on program structure? The information might benefit programs and sites to promote the sustainable use of doctoral capstone sites across the nation. Detailed data is shared via a repository. <br>
DOI: 10.25420/britishmuseum.24428581
title: Waewdao Pomkam's consent form

description: Waewdao Pomkam's consent form
DOI: 10.25420/britishmuseum.24428581.v1
title: Waewdao Pomkam's consent form

description: Waewdao Pomkam's consent form
DOI: 10.25420/britishmuseum.24428584
title: Bunruam Chawpa's consent form

description: Bunruam Chawpa's consent form
DOI: 10.25420/britishmuseum.24428584.v1
title: Bunruam Chawpa's consent form

description: Bunruam Chawpa's consent form
DOI: 10.6084/m9.figshare.23290103
title: Important Plant Areas (IPAs) for useful plants of Colombia

description: This dataset is linked to the publication "<em>Identifying Important Plant Areas for useful plant species in Colombia</em>" (Kor and Diazgranados, 2023) https://doi.org/10.1016/j.biocon.2023.110187 The occurence dataset (CUPC_nat_COL_230603_clean.csv) contains records for the native species listed in the Checklist of Useful Plants of Colombia (CUPC). These were downloaded from the Global Biodiversity Information Facility (GBIF, 2022), Botanical Information and Ecology Network (BIEN, 2022), and the virtual herbarium of the Jardín Botánico de Bogotá (JBB Herbarium, 2022). Data were cleaned as described in our methodology. Threat status was based on the IUCN Red List (IUCN, 2021) and the preliminary Red List of Plants of Colombia (received from the IUCN Colombian Plant Specialist Group in June 2021) and use categories were based on modified Level 1 uses of Cook (1995), as applied in the World Checklist of Useful Plants. The zipfile (COL_top_priority) contains shapefiles of the polygon boundaries of the 10 "top pritority" sites, identified as described in our research and the grid cells underlying them. Please contact the authors with any questions.
DOI: 10.6084/m9.figshare.23290103.v4
title: Important Plant Areas (IPAs) for useful plants of Colombia

description: This dataset is linked to the publication "<em>Identifying Important Plant Areas for useful plant species in Colombia</em>" (Kor and Diazgranados, 2023) https://doi.org/10.1016/j.biocon.2023.110187 The occurence dataset (CUPC_nat_COL_230603_clean.csv) contains records for the native species listed in the Checklist of Useful Plants of Colombia (CUPC). These were downloaded from the Global Biodiversity Information Facility (GBIF, 2022), Botanical Information and Ecology Network (BIEN, 2022), and the virtual herbarium of the Jardín Botánico de Bogotá (JBB Herbarium, 2022). Data were cleaned as described in our methodology. Threat status was based on the IUCN Red List (IUCN, 2021) and the preliminary Red List of Plants of Colombia (received from the IUCN Colombian Plant Specialist Group in June 2021) and use categories were based on modified Level 1 uses of Cook (1995), as applied in the World Checklist of Useful Plants. The zipfile (COL_top_priority) contains shapefiles of the polygon boundaries of the 10 "top pritority" sites, identified as described in our research and the grid cells underlying them. Please contact the authors with any questions.
DOI: 10.6084/m9.figshare.23290103.v3
title: Important Plant Areas (IPAs) for useful plants of Colombia

description: This dataset is linked to the publication "<em>Identifying Important Plant Areas for useful plant species in Colombia</em>" (Kor and Diazgranados, 2023) https://doi.org/10.1016/j.biocon.2023.110187 The occurence dataset (CUPC_nat_COL_230603_clean.csv) contains records for the native species listed in the Checklist of Useful Plants of Colombia (CUPC). These were downloaded from the Global Biodiversity Information Facility (GBIF, 2022), Botanical Information and Ecology Network (BIEN, 2022), and the virtual herbarium of the Jardín Botánico de Bogotá (JBB Herbarium, 2022). Data were cleaned as described in our methodology. Threat status was based on the IUCN Red List (IUCN, 2021) and the preliminary Red List of Plants of Colombia (received from the IUCN Colombian Plant Specialist Group in June 2021) and use categories were based on modified Level 1 uses of Cook (1995), as applied in the World Checklist of Useful Plants. The zipfile (COL_top_priority) contains shapefiles of the polygon boundaries of the 10 "top pritority" sites, identified as described in our research and the grid cells underlying them. Please contact the authors with any questions.
DOI: 10.6084/m9.figshare.22794110.v1
title: Dissolved CO<sub>2</sub> mapping of Furnas volcanic lake (São Miguel, Azores) at different depths, and 3D reconstruction of the total dissolved CO<sub>2</sub>

description: The spreadsheet file contains different sheets named: <strong>Vertical profiles:</strong> contains the raw measurements of physicochemical parameters (pH, temperature, ORP etc.) and dissolved CO<sub>2</sub> (measured and calculated from pH) at different sites and depths at Furnas Lake. <strong>Traverse</strong> contains the physicochemical parameters (pH, temperature, ORP etc.) measured at ~1m depth along a longitudinal transect (north-south) at Furnas Lake. <strong>Calc CO</strong><sub><strong>2</strong></sub><strong> 0-11 m depth:</strong> these 12 sheets contain the interpolated dissolved CO<sub>2</sub> values at different sites and depths at Furnas Lake (with a voxel of 15.18 m ✕ 20.12 m ✕ 1 m)
DOI: 10.6084/m9.figshare.19518027
title: A Kinetic Mechanism for CF<sub>3</sub>I Inhibition of Methane–Air Flames

description: The influence of CF<sub>3</sub>I on the burning velocity of methane–air flame is experimentally and numerically studied. Experimental results demonstrate that the inhibition effectiveness of CF<sub>3</sub>I is very close to that of CF<sub>3</sub>Br. A detailed kinetic model of flame inhibition by CF<sub>3</sub>I is presented, based on an updated version of a previous model. The kinetic model contains 1072 reactions with 115 species including 10 iodine-containing species. Modeling results demonstrate good agreement with experimental data, and both experiments and calculations show that CF<sub>3</sub>I is only slightly less effective at reducing the burning velocity than CF<sub>3</sub>Br. The flame structure predicted from numerical simulations is analyzed and shows that main reactions of the inhibition cycle of CF<sub>3</sub>I are as follows: H+ HI = H<sub>2</sub> + I; H + I + M = HI+M; I + I + M = I<sub>2</sub> + M; H+ I<sub>2</sub> = HI+I; I+ CH<sub>3</sub> + M = CH<sub>3</sub>I+M; H+ CH<sub>3</sub>I = CH<sub>3</sub>+ HI; I+ HCO = HI+CO; HI+OH = H<sub>2</sub>O+I and O+ HI = I+ OH.
DOI: 10.6084/m9.figshare.19518027.v1
title: A Kinetic Mechanism for CF<sub>3</sub>I Inhibition of Methane–Air Flames

description: The influence of CF<sub>3</sub>I on the burning velocity of methane–air flame is experimentally and numerically studied. Experimental results demonstrate that the inhibition effectiveness of CF<sub>3</sub>I is very close to that of CF<sub>3</sub>Br. A detailed kinetic model of flame inhibition by CF<sub>3</sub>I is presented, based on an updated version of a previous model. The kinetic model contains 1072 reactions with 115 species including 10 iodine-containing species. Modeling results demonstrate good agreement with experimental data, and both experiments and calculations show that CF<sub>3</sub>I is only slightly less effective at reducing the burning velocity than CF<sub>3</sub>Br. The flame structure predicted from numerical simulations is analyzed and shows that main reactions of the inhibition cycle of CF<sub>3</sub>I are as follows: H+ HI = H<sub>2</sub> + I; H + I + M = HI+M; I + I + M = I<sub>2</sub> + M; H+ I<sub>2</sub> = HI+I; I+ CH<sub>3</sub> + M = CH<sub>3</sub>I+M; H+ CH<sub>3</sub>I = CH<sub>3</sub>+ HI; I+ HCO = HI+CO; HI+OH = H<sub>2</sub>O+I and O+ HI = I+ OH.
DOI: 10.5281/zenodo.10041121
title: Datasets and models for EnzBert

description: Datasets and models for the paper: Predicting enzymatic function of protein sequences with attention
DOI: 10.5281/zenodo.7253909
title: Datasets and models for EnzBert

description: Datasets and models for the paper: Predicting enzymatic function of protein sequences with attention
DOI: 10.5281/zenodo.7253910
title: Datasets and models for EnzBert

description: Datasets and models for the paper: Predicting enzymatic function of protein sequences with attention
DOI: 10.5517/ccdc.csd.cc29zh2w
title: CCDC 2144458: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc29zh4y
title: CCDC 2144460: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc29zh71
title: CCDC 2144463: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc29zhd6
title: CCDC 2144468: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc29zltq
title: CCDC 2144574: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc29zlvr
title: CCDC 2144575: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc29zlws
title: CCDC 2144576: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc29zlxt
title: CCDC 2144577: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.cc29zlzw
title: CCDC 2144579: Experimental Crystal Structure Determination

description: Related Article: David Perl, Seok J. Lee, Alan Ferguson, Geoffrey B. Jameson, Shane G. Telfer|2023|Nature Chemistry|15|1358|doi:10.1038/s41557-023-01277-z
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.