cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7634529
title: Additional Files for "Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass"

description: This dataset contains additional supporting files referenced by the following publication: • Kersten S, Chang J, Huber CD, Voichek Y, Lanz C, Hagmaier T, Lang P, Lutz U, Hirschberg I, Lerchl J, Porri A, Van de Peer Y, Schmid K, Weigel D, Rabanal FA. <strong>Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass. </strong><em>Proc Natl Acad Sci USA</em>. Directory structure: <strong>Haplotypes_ACCase</strong>: this directory contains the two haplotypes (fasta format) inferred by pbaa (https://github.com/PacificBiosciences/pbAA ) for each of the 1,046 individuals for which it was possible to analyse the ACCase locus. <strong>Haplotypes_ALS</strong>: his directory contains the two haplotypes (fasta format) inferred by pbaa (https://github.com/PacificBiosciences/pbAA ) for each of the 842 individuals for which it was possible to analyse the ALS1 locus. <strong>Reference_genome</strong>: this directory contains the Pacbio CLR+Hi-C based chromosome level assembly (fasta file) of an <em>Alopecurus myosuroides</em> individual from the German herbicide-sensitive population DE01087 (Appels Wilde Samen GmbH, Darmstadt). In addition, it includes annotation files (gff format) for transposable elements and protein-coding genes. <strong>SNP_matrix</strong>: this directory contains the SNP matrix (vcf format) for the population study carried out with ddRAD-sequencing data.
DOI: 10.6084/m9.figshare.22086218
title: Assessing the gut microbiome and the influence of host genetics on a critically endangered primate, the Northern muriqui (Brachyteles hypoxanthus)

description: Datasets and metadata analysed during the study of the Northern muriqui microbiome. <br> Files: filtered.zip - raw sequence data (fastq files) SampleSheet16Sfull_MURIQUI.csv - sample metadata Rscripts.zip - Rscripts used to analyse the data
DOI: 10.5281/zenodo.7635510
title: P7 mouse cerebellum ssSEM molecular layer

description: This dataset is meant for training of CellWalker automatic segmentation notebook that uses a UNET convolutional neural network. The code can be found on GitHub- https://github.com/utraf-pasteur-institute/CellWalker-notebooks
DOI: 10.5281/zenodo.7635509
title: P7 mouse cerebellum ssSEM molecular layer

description: This dataset is meant for training of CellWalker automatic segmentation notebook that uses a UNET convolutional neural network. The code can be found on GitHub- https://github.com/utraf-pasteur-institute/CellWalker-notebooks
DOI: 10.5519/qd.r4gswo7h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.5281/zenodo.7635590
title: Raw Data for the article: Permanent pacemaker implantation after valve and arrhythmia surgery in patients with preoperative atrial fibrillation

description: <strong>Background: </strong>Among patients referred for cardiac surgery, atrial fibrillation (AF) is a common comorbidity and a risk factor for postoperative arrhythmias (eg, sinus node dysfunction, atrioventricular heart block), including those requiring permanent pacemaker (PPM) implantation. <strong>Objective: </strong>The purpose of this study was to evaluate the prevalence and long-term survival of postoperative PPM implantation in patients with preoperative AF who underwent valve surgery with or without concomitant procedures. <strong>Methods: </strong>Presented analysis pertains to the HEIST (HEart surgery In atrial fibrillation and Supraventricular Tachycardia) registry. During the study period, 11,949 patients underwent valvular (aortic, mitral, or tricuspid valve replacement or repair) surgery and/or surgical ablation (SA) and were stratified according to postoperative PPM status. <strong>Results: </strong>PPM implantation after surgery was necessary in 2.5% of patients, with significant variation depending on the type of surgery (from 1.1% in mitral valve repair to 3.3% in combined mitral and tricuspid valve surgery). In a multivariate logistic regression model, tricuspid intervention (P &lt;.001), cardiopulmonary bypass time (P = .024), and endocarditis (P = .014) were shown to be risk factors for PPM. Over long-term follow-up, PPM was not associated with increased mortality compared to no PPM (hazard ratio 0.96; 95% confidence interval 0.77-1.19; P = .679). SA was not associated with PPM implantation. However, SA improved survival regardless of PPM status (log rank P &lt;.001). <strong>Conclusion: </strong>In patients with preoperative AF, the need for PPM implantation after valve surgery or SA is not an infrequent outcome, with SA not affecting its prevalence but actually improving long-term survival.
DOI: 10.5281/zenodo.7635589
title: Raw Data for the article: Permanent pacemaker implantation after valve and arrhythmia surgery in patients with preoperative atrial fibrillation

description: <strong>Background: </strong>Among patients referred for cardiac surgery, atrial fibrillation (AF) is a common comorbidity and a risk factor for postoperative arrhythmias (eg, sinus node dysfunction, atrioventricular heart block), including those requiring permanent pacemaker (PPM) implantation. <strong>Objective: </strong>The purpose of this study was to evaluate the prevalence and long-term survival of postoperative PPM implantation in patients with preoperative AF who underwent valve surgery with or without concomitant procedures. <strong>Methods: </strong>Presented analysis pertains to the HEIST (HEart surgery In atrial fibrillation and Supraventricular Tachycardia) registry. During the study period, 11,949 patients underwent valvular (aortic, mitral, or tricuspid valve replacement or repair) surgery and/or surgical ablation (SA) and were stratified according to postoperative PPM status. <strong>Results: </strong>PPM implantation after surgery was necessary in 2.5% of patients, with significant variation depending on the type of surgery (from 1.1% in mitral valve repair to 3.3% in combined mitral and tricuspid valve surgery). In a multivariate logistic regression model, tricuspid intervention (P &lt;.001), cardiopulmonary bypass time (P = .024), and endocarditis (P = .014) were shown to be risk factors for PPM. Over long-term follow-up, PPM was not associated with increased mortality compared to no PPM (hazard ratio 0.96; 95% confidence interval 0.77-1.19; P = .679). SA was not associated with PPM implantation. However, SA improved survival regardless of PPM status (log rank P &lt;.001). <strong>Conclusion: </strong>In patients with preoperative AF, the need for PPM implantation after valve surgery or SA is not an infrequent outcome, with SA not affecting its prevalence but actually improving long-term survival.
DOI: 10.5281/zenodo.6653868
title: Double-directional Multipath Data at 140 GHz

description: This data set contains 140 GHz double-directional path data in an indoor hall environment. Details of the environment and data format are available in .txt and .ppt files in the same package as data. The data were derived from channel sounding along with a measurement-based ray-launcher, which is elaborated in the following paper. M. F. de Guzman, P. Koivumäki and K. Haneda, "Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer," in Proc. 2022 Vehicular Technology Conference, Helsinki, Finland, June 2022. @INPROCEEDINGS{deGuzman22_VTCS,<br> author={de Guzman, Mar Francis and Koivum\"{a}ki, Pasi and Haneda, Katsuyuki},<br> booktitle={2022 95th Veh. Tech. Conf. (VTC2022-Spring)},<br> title={Double-directional multipath data at 140 {GHz} derived from measurement-based ray-launcher},<br> year={2022},<br> address={Helsinki, Finland},<br> month={June},<br> pages={1-6},<br> }
description: {"references": ["M. F. de Guzman, P. Koivum\u00e4ki and K. Haneda, \"Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer,\" in Proc. 2022 Vehicular Technology Conference, Helsinki, Finland, June 2022."]}
DOI: 10.5281/zenodo.6840859
title: Double-directional Multipath Data at 140 GHz

description: This data set contains 140 GHz double-directional path data in an indoor hall environment. Details of the environment and data format are available in .txt and .ppt files in the same package as data. The data were derived from channel sounding along with a measurement-based ray-launcher, which is elaborated in the following paper. M. F. de Guzman, P. Koivumäki and K. Haneda, "Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer," in Proc. 2022 Vehicular Technology Conference, Helsinki, Finland, June 2022. @INPROCEEDINGS{deGuzman22_VTCS,<br> author={de Guzman, Mar Francis and Koivum\"{a}ki, Pasi and Haneda, Katsuyuki},<br> booktitle={2022 95th Veh. Tech. Conf. (VTC2022-Spring)},<br> title={Double-directional multipath data at 140 {GHz} derived from measurement-based ray-launcher},<br> year={2022},<br> address={Helsinki, Finland},<br> month={June},<br> pages={1-6},<br> }
description: {"references": ["M. F. de Guzman, P. Koivum\u00e4ki and K. Haneda, \"Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer,\" in Proc. 2022 Vehicular Technology Conference, Helsinki, Finland, June 2022."]}
DOI: 10.5281/zenodo.7185349
title: Double-directional Multipath Data at 140 GHz

description: This data set contains 140 GHz double-directional path data in an indoor hall environment. Details of the environment and data format are available in .txt and .ppt files in the same package as data. The data were derived from channel sounding along with a measurement-based ray-launcher, which is elaborated in the following paper. M. F. de Guzman, P. Koivumäki and K. Haneda, "Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer," in Proc. 2022 Vehicular Technology Conference, Helsinki, Finland, June 2022. @INPROCEEDINGS{deGuzman22_VTCS,<br> author={de Guzman, Mar Francis and Koivum\"{a}ki, Pasi and Haneda, Katsuyuki},<br> booktitle={2022 95th Veh. Tech. Conf. (VTC2022-Spring)},<br> title={Double-directional multipath data at 140 {GHz} derived from measurement-based ray-launcher},<br> year={2022},<br> address={Helsinki, Finland},<br> month={June},<br> pages={1-6},<br> }
description: {"references": ["M. F. de Guzman, P. Koivum\u00e4ki and K. Haneda, \"Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer,\" in Proc. 2022 Vehicular Technology Conference, Helsinki, Finland, June 2022."]}
DOI: 10.5281/zenodo.6653867
title: Double-directional Multipath Data at 140 GHz

description: This data set contains 140 GHz double-directional path data in an indoor hall environment. Details of the environment and data format are available in .txt and .ppt files in the same package as data. The data were derived from channel sounding along with a measurement-based ray-launcher, which is elaborated in the following paper. M. F. de Guzman, P. Koivumäki and K. Haneda, "Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer," in Proc. 2022 Vehicular Technology Conference, Helsinki, Finland, June 2022. @INPROCEEDINGS{deGuzman22_VTCS,<br> author={de Guzman, Mar Francis and Koivum\"{a}ki, Pasi and Haneda, Katsuyuki},<br> booktitle={2022 95th Veh. Tech. Conf. (VTC2022-Spring)},<br> title={Double-directional multipath data at 140 {GHz} derived from measurement-based ray-launcher},<br> year={2022},<br> address={Helsinki, Finland},<br> month={June},<br> pages={1-6},<br> }
description: {"references": ["M. F. de Guzman, P. Koivum\u00e4ki and K. Haneda, \"Double-directional multipath data at 140 GHz derived from measurement-based ray-tracer,\" in Proc. 2022 Vehicular Technology Conference, Helsinki, Finland, June 2022."]}
DOI: 10.23729/871f7b2f-c57c-4847-bffc-23097847d358
title: Steel fractures

description: Various steel samples that were scanned to investigate the suitability of XCT in studying wear fractures at weld seams. Sample beam drilled is the same as WholeBeam, but drilled into cylindrical shape for better image quality. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at http://urn.fi/urn:nbn:fi:att:d52555e8-a9f4-4872-a5dd-0dc36e6e2eff
DOI: 10.23729/a9ade4df-f46a-47da-b657-9fbc1b8f3c53
title: Metal phantoms

description: Metal phantom samples with various different metals imaged at two different energies in an attempt to develop a method to discern different metals from CT scans. Continuation of Friberg, T., 2017. Classification of metals in X-ray computed tomography. Master's Thesis, Aalto University. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/4b017538-ff2c-4c6c-a7b2-3bd851e93353
DOI: 10.23729/73f17c08-6040-4c2e-94a9-793efa9faf94
title: Metal discs

description: Three types of samples were scanned to observe their microstructure, not only surface structure but internal one as well. The samples were industrial copper matte, industrial fayalite slag, and laboratory-treated (doped) copper matte. The XCT results managed to show all the sought differences, e.g. glassy structure, microcracks and distribution of inclusions. Samples are described in Sibarani, D., Hamuyuni, J., Luomala, M., Lindgren, M., Jokilaakso, A., 2020. Thermal Conductivity of Solidified Industrial Copper Matte and Fayalite Slag. Heat Transfer Utilization in Pyrometallurgy. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/eb1eeec0-8fd9-4ce9-a1c2-76792d7103e5
DOI: 10.23729/d20091d5-6389-4988-96ea-288fe35771e1
title: Bale pulpsheets

description: Bale pulpsheet samples of different hardwoods manufactured by a pulp company. The aim was to study the density and porosity difference between the different layers from top to bottom to determine the impact of pressing on the pulpsheets. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi.org/10.23729/770003fb-2fd3-42fc-981a-a6fc25d83bb2
DOI: 10.23729/87de8019-7f5c-4b7c-a6e7-719440b56c91
title: STEM simulations of dislocation loops with Burgers vector b=a&lt;001&gt;

description: Simulated STEM images of dislocation loops in tungsten, in hdf5 file format, computed with the PRISMATIC code [1,2]. Data is for electron beam energies of 100 kV and 200 kV, with beam incidence along &lt;100&gt;, &lt;110&gt; and &lt;111&gt; directions, and convergence angles 70 mrad (100 and 200 kV beam), 50 and 30 mrad (100 kV beam). Dislocation loops have vacancy and interstitial nature, and are located centrally in a 20 nanometer thick sample. This work has been performed within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The work is part of the Enabling Research project AtomCRaD ENR-MFE19.CCFE-03. The views and opinions expressed herein do not necessarily reflect those of the European Commission. We acknowledge grants of computer capacity from the Finnish Grid and Cloud Infrastructure (persistent identifier urn:nbn:fi:research-infras-2016072533). [1] C Ophus, Advanced Structural and Chemical Imaging 3(1), 13 (2017). [2] A Pryor Jr, et al., Advanced Structural and Chemical Imaging 3, (2017).
DOI: 10.23729/94834d92-a93b-4a44-903b-fe4105d11313
title: STEM simulations of dislocation loops with Burgers vector b=½a&lt;111&gt;

description: Simulated STEM images of dislocation loops in tungsten, in hdf5 file format, computed with the PRISMATIC code [1,2]. Data is for electron beam energies of 100 kV and 200 kV, with beam incidence along &lt;100&gt; and &lt;110&gt; directions, and convergence angles 70 mrad (100 and 200 kV beam), 50 and 30 mrad (100 kV beam). Dislocation loops have vacancy and interstitial nature, and are located centrally in a 20 nanometer thick sample. This work has been performed within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The work is part of the Enabling Research project AtomCRaD ENR-MFE19.CCFE-03. The views and opinions expressed herein do not necessarily reflect those of the European Commission. We acknowledge grants of computer capacity from the Finnish Grid and Cloud Infrastructure (persistent identifier urn:nbn:fi:research-infras-2016072533). [1] C Ophus, Advanced Structural and Chemical Imaging 3(1), 13 (2017). [2] A Pryor Jr, et al., Advanced Structural and Chemical Imaging 3, (2017).
DOI: 10.23729/ff7c63d2-7dfb-482e-9477-4ac5dbb80155
title: Aalto 3D prints

description: The study explored the macrostructure and manufacturability of additively manufactured 316L metal lattice structures with micro computed tomography and the possibilities of open source software in data analysis. Samples described and reported in Puttonen, T., 2020, November. Evaluation of Metal Lattice Structures With X-Ray Micro-Computed Tomography: Dimensional Accuracy and Manufacturability. In ASME International Mechanical Engineering Congress and Exposition (Vol. 84539, p. V006T06A015). American Society of Mechanical Engineers. Preview dataset found at https://doi.org/10.23729/65ebda0e-ac45-4b53-8d24-8c02e8e94cf5 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.23729/ac0f05fc-b85c-4ed0-959e-5bb1297fdac2
title: Corrosion Test 20

description: Additively manufactured (laser powder bed fusion) 316L stainless steel tensile testing samples with embedded TPMS (triply periodic minimal surface) lattice structures. Two different geometries (Gyroid and Diamond) in three size scales were CT scanned two times: before and after an immersion corrosion test in 3.5 w% NaCl solution. A paper titled: 'The Effect of Lattice Size and Geometry on Localized Corrosion of Laser Powder Bed Fusion 316L Stainless Steel: Analysis with X-Ray Microcomputed Tomography' describes the research in full detail. Samples were scanned in three sets, titled here 'Scans'. Second scans are marked with _2. Preview dataset found at https://doi.org/10.23729/8183f4a1-0ae1-4e30-9e1f-d5c58c3a4729 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.23729/0c309a50-d3c4-41bd-a575-5673e2565054
title: Ceramic 3D prints

description: Four ceramic lattice structures fabricated via SLA 3D Printing machine with a constant strut length 6 mm and various strut diameter 1.2, 1, 0.8 and 0.6 mm were investigated for their internal 3D structure. Scientific article is currently being written. Preview dataset found at https://doi.org/10.23729/c34f3ec3-e673-43c1-a15d-addded1e3e17 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.23729/d697fe61-b9b8-404e-94eb-24e51fa4a693
title: Malmi Clay

description: Stabilized clay from Malmi area, studied for the MALMIVERDA project. Control sample was cured for 28 days without load, loaded sample with a constant load of 40 kPa. Loaded sample was imaged before load, at start of load, at end of load and after load. All images are transformed to match the first scan of the same sample. Data was shown at a poster at ICTMS2022 in Grenoble. Publication in writing. Preview dataset found at https://doi.org/10.23729/fddc81cb-c2f7-4540-9b1d-5c4c4c627c9b . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.6084/m9.figshare.22085810.v1
title: 3D viscosity coefficient of lithosphere in the Sichuan-Yunnan region

description: We present an integrated 3D model of viscosity coefficient beneath the Sichuan and Yunnan region based on the joint inversion of Rayleigh wave phase dispersions, topography, geoid height, and surface heat flow data. "Wanli_Zhou_3D_integrated_model.xlsx" is the final 3D model.
DOI: 10.6084/m9.figshare.22085060.v1
title: Population and GDP/GNI/CO2 emissions

description: This Year-2019 dataset was downloaded from the World Bank Databank by the following approach. <br> date: 2022-07-23 <br> source: https://databank.worldbank.org/reports.aspx?source=2&series=NY.GNP.ATLS.CD&country=# <br> Variables <br> Database -&gt; World Development Indicators <br> Country -&gt; Selected 266 (Available 266) <br> Series -&gt; "CO2 emissions (kt)", "GDP (current US$)", "GNI, Atlas method (current US$)", and "Population, total" <br> Time -&gt; 1960, 1970, 1980, 1990, 2000, 2010, 2017, 2018, 2019, 2020, 2021 <br> Layout: -&gt; Custom -&gt; Time: Column, Country: Row, Series: Column <br> Download options: -&gt; Excel (Data update: July 20, 2022) <br> ** Preprocessing ** <br> With libreoffice to (1) Save the data sheet to a CSV file data-20220720.csv and operate on it in the following. (2) Keep only countries by removing lines after Zimbabwe. (3) Shorten column names for easy processing Country Name -&gt; Country Country Code -&gt; Code "XXXX ... GNI ..." -&gt; GNI_1990, etc (notice '_', not '-', for R). (4) Remove unnesssary rows after Zimbabwe <br> Save it to a CSV with separator '|' and no " for text for possible handling by awk (some countries have a comma in its name).
DOI: 10.6084/m9.figshare.22085060.v2
title: Population and GDP/GNI/CO2 emissions

description: Original dataset The original year-2019 dataset was downloaded from the World Bank Databank by the following approach on July 23, 2022. <br> https://databank.worldbank.org/reports.aspx?source=2&series=NY.GNP.ATLS.CD&country=# <br> <strong>Database:</strong> "World Development Indicators" <strong>Country:</strong> 266 (all available) <strong>Series:</strong> "CO2 emissions (kt)", "GDP (current US$)", "GNI, Atlas method (current US$)", and "Population, total" <strong>Time:</strong> 1960, 1970, 1980, 1990, 2000, 2010, 2017, 2018, 2019, 2020, 2021 <strong>Layout:</strong> Custom -&gt; Time: Column, Country: Row, Series: Column <strong>Download options:</strong> Excel Preprocessing <br> With libreoffice, remove non-country entries (lines after Zimbabwe), shorten column names for easy processing: Country Name -&gt; Country, Country Code -&gt; Code, "XXXX ... GNI ..." -&gt; GNI_1990, etc (notice '_', not '-', for R), remove unnesssary rows after line Zimbabwe, finally save it to a TSV with tab as the separator and no " for text for possible handling by awk (some countries have a comma in name).
DOI: 10.6084/m9.figshare.22085060.v3
title: Population and GDP/GNI/CO2 emissions

description: Original dataset The original year-2019 dataset was downloaded from the World Bank Databank by the following approach on July 23, 2022. <br> https://databank.worldbank.org/reports.aspx?source=2&series=NY.GNP.ATLS.CD&country=# <br> <strong>Database:</strong> "World Development Indicators" <strong>Country:</strong> 266 (all available) <strong>Series:</strong> "CO2 emissions (kt)", "GDP (current US$)", "GNI, Atlas method (current US$)", and "Population, total" <strong>Time:</strong> 1960, 1970, 1980, 1990, 2000, 2010, 2017, 2018, 2019, 2020, 2021 <strong>Layout:</strong> Custom -&gt; Time: Column, Country: Row, Series: Column <strong>Download options:</strong> Excel Preprocessing <br> With libreoffice, remove non-country entries (lines after Zimbabwe), shorten column names for easy processing: Country Name -&gt; Country, Country Code -&gt; Code, "XXXX ... GNI ..." -&gt; GNI_1990, etc (notice '_', not '-', for R), remove unnesssary rows after line Zimbabwe, finally save it to a TSV with tab as the separator and no " for text for possible handling by awk (some countries have a comma in name).