cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4734160
title: FEDORA. Excerpts from essays, transcript of interviews and group discussions on students' future perception. Part 3: Interviews, Finland.

description: Finnish-language dataset. Related to a research article that is awaiting acceptance for publication: <em>Future, technology and agency: Students’ experiences from a course on futures thinking and quantum computing</em>. As per ethical concerns and participants' consent, the dataset is given in a fully anonymised form. Instead of students' interviews (the context of which is given in the article). In a nutshell, 21 upper-secondary school students were interviewed in 2018 regarding their experiences on taking an experimental science course that combined ideas from futures thinking and quantum computing. The present dataset contains all 245 transcribed passages from 21 student interviews that were initially marked as relevant to the research goals (i.e. how students saw their conceptions change over the course). Additionally, for each passage the final coding that was used in the analysis for the research paper is shown. The "number-letter codes" were used as shorthands; the full names of the codes correspond closely with the final, English-language codes in the paper. To preserve full anonymity, students are not identified by any marker or pseudonym here; rather, the passages are given alphabetically. The start and end of passages has not been checked for additional or missing first and last characters. Please also note that the character &gt; marks change of speaker. Identifying the interviewer and interviewee should be straighforward based on the context. Please contact the corresponding author for more information. -- FEDORA Project README: <strong>README</strong> <strong>Data Set Title:</strong> “FEDORA. Excerpts from essays, transcript of interviews and group discussions on students’ future perception. Finland" <strong>Data Set Author/s:</strong> Antti Laherto, Tapio Rasa, Elina Palmgren (University of Helsinki) <strong>Data Set Contact Person/s</strong>: Tapio Rasa<strong> </strong>(University of Helsinki), ORCID 0000-0003-1315-5207, tapio.rasa@helsinki.fi; <strong>Data Set License</strong>: this data set is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. <strong>Publication Year</strong>: 2021 <strong>Project Info</strong>: FEDORA<strong> </strong>(Future-oriented Science EDucation to enhance Responsibility and engagement in the society of Acceleration and uncertainty<strong> , </strong>funded by European Union, Horizon 2020 Programme. Grant Agreement num.<strong> </strong>872841,<br> www.fedora-project.eu) <strong>Data set Contents</strong> The data set consists of: One spreadsheet file, provided in two alternative formats (CSV and XLSX). Future_technology_agency_DATA_CSV.csv Future_technology_agency_DATA_XLSX.xlsx <strong>Data set Documentation</strong> <em>Given above this README, on the ZENODO repository. https://zenodo.org/record/4734161</em>
DOI: 10.5281/zenodo.8099730
title: FEDORA. Excerpts from essays, transcript of interviews and group discussions on students' future perception. Part 3: Interviews, Finland.

description: Finnish-language dataset. Related to a research article that is awaiting acceptance for publication: <em>Future, technology and agency: Students’ experiences from a course on futures thinking and quantum computing</em>. As per ethical concerns and participants' consent, the dataset is given in a fully anonymised form. Instead of students' interviews (the context of which is given in the article). In a nutshell, 21 upper-secondary school students were interviewed in 2018 regarding their experiences on taking an experimental science course that combined ideas from futures thinking and quantum computing. The present dataset contains all 245 transcribed passages from 21 student interviews that were initially marked as relevant to the research goals (i.e. how students saw their conceptions change over the course). Additionally, for each passage the final coding that was used in the analysis for the research paper is shown. The "number-letter codes" were used as shorthands; the full names of the codes correspond closely with the final, English-language codes in the paper. To preserve full anonymity, students are not identified by any marker or pseudonym here; rather, the passages are given alphabetically. The start and end of passages has not been checked for additional or missing first and last characters. Please also note that the character &gt; marks change of speaker. Identifying the interviewer and interviewee should be straighforward based on the context. Please contact the corresponding author for more information. -- FEDORA Project README: <strong>README</strong> <strong>Data Set Title:</strong> “FEDORA. Excerpts from essays, transcript of interviews and group discussions on students’ future perception. Finland" <strong>Data Set Author/s:</strong> Antti Laherto, Tapio Rasa, Elina Palmgren (University of Helsinki) <strong>Data Set Contact Person/s</strong>: Tapio Rasa<strong> </strong>(University of Helsinki), ORCID 0000-0003-1315-5207, tapio.rasa@helsinki.fi; <strong>Data Set License</strong>: this data set is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. <strong>Publication Year</strong>: 2021 <strong>Project Info</strong>: FEDORA<strong> </strong>(Future-oriented Science EDucation to enhance Responsibility and engagement in the society of Acceleration and uncertainty<strong> , </strong>funded by European Union, Horizon 2020 Programme. Grant Agreement num.<strong> </strong>872841,<br> www.fedora-project.eu) <strong>Data set Contents</strong> The data set consists of: One spreadsheet file, provided in two alternative formats (CSV and XLSX). Future_technology_agency_DATA_CSV.csv Future_technology_agency_DATA_XLSX.xlsx <strong>Data set Documentation</strong> <em>Given above this README, on the ZENODO repository. https://zenodo.org/record/4734161</em>
DOI: 10.5281/zenodo.5517595
title: DATASET: Students' technological images of the future: implications for science and technology education

description: English-language dataset (translated from Finnish). Related to a research article that is awaiting acceptance for publication: <em>Students’ technological images of the future: implications for science and technology education.</em> As per ethical concerns and participants' consent, the dataset is given in a fully anonymised form. Here, excerpts from students' essays (the context of which is given in the article) are given. The excerpts are the ones that have been used in analysis for the article identified above. Further details will be available in the published article. 385 such excerpts are given, originating in 57 essays in which upper-secondary students imagine the year 2035 or 2040 and the technological environment in which they would like to live at that time. The numbering was used to group codes for the analysis: type of technology (1), effect of technology (1E), and positive/negative framing (2A-C). The dataset is intended for providing transparency, but it may also be used for further research. Assistance may be available from the authors at reasonable request. Please note that the dataset presented here contains redundancies and a few additional codes that were not used in the analysis. The redundant quotations from the essays were not duplicated in the analysis, but were not removed from this spreadsheet export. Apologies for any inconvenience. To preserve full anonymity, students are not identified by any marker or pseudonym here; rather, the quotations are given alphabetically. The start and end of passages has not been checked for additional or missing first and last characters, as these can easily be inferred. Please contact the corresponding author for more information.
DOI: 10.48366/r642389
title: RGB-D VOT datasets and RGB VOS datasets Comparison

description: This comparison provides the details of the e various RGB-D VOT (Visual Object Tracking) datasets and RGB VOS (Visual Object Segmentation) datasets.
DOI: 10.5281/zenodo.8377185
title: Protostellar cores in Sagittarius B2 N and M: continuum data

description: This is a set of self-calibrated continuum FITS files for the ALMA Cycle 4 project 2016.1.00550.S. The paper "Protostellar cores in Sagittarius B2 N and M" was accepted to ApJ on September 15, 2023. Paper abstract: We present 500 AU and 700 AU resolution 1 mm and 3 mm ALMA observations, respectively, of protostellar cores in protoclusters Sagittarius B2 (Sgr B2) North (N) and Main (M), parts of the most actively star-forming cloud in our Galaxy. Previous lower resolution (5000 AU) 3 mm observations of this region detected \(\sim\)150 sources inferred to be young stellar objects (YSOs) with \(M&gt;8\mathrm{\,M}_\odot\). With a tenfold increase in resolution, we detect 371 sources at 3 mm and 218 sources in the smaller field of view at 1 mm. The sources seen at low resolution are observed to fragment into an average of two objects. About a third of the observed sources fragment.Most of the sources we report are marginally resolved and are at least partially optically thick. We determine that the observed sources are most consistent with Stage 0/I YSOs, i.e., rotationally supported disks with an active protostar and an envelope, that are warmer than those observed in the solar neighborhood.We report source-counting-based inferred stellar mass and the star formation rate of the cloud: \(2800\mathrm{\,M}_\odot\), \(0.0038\mathrm{\,M}_\odot \mathrm{yr}^{-1}\) for Sgr B2 N and \(6900\mathrm{\,M}_\odot, 0.0093\mathrm{\,M}_\odot \mathrm{yr}^{-1}\) for Sgr B2 M respectively.
DOI: 10.5281/zenodo.8373232
title: The APO-K2 Catalog. I. ~7,500 Red Giants with Fundamental Stellar Parameters from APOGEE DR17 Spectroscopy and K2-GAP Asteroseismology

description: <strong>Abstract: </strong>We present a catalog of fundamental stellar properties for ~7,500 evolved stars, including stellar radii and masses, determined from the combination of spectroscopic observations from the Apache Point Observatory Galactic Evolution Experiment (APOGEE), part of the Sloan Digital Sky Survey IV (SDSS), and asteroseismology from K2. The resulting APO-K2 catalog provides spectroscopically derived temperatures and metallicities, asteroseismic global parameters, evolutionary states, and asteroseismically-derived masses and radii. Additionally, we include kinematic information from <em>Gaia</em>. We investigate the multi-dimensional space of abundance, stellar mass, and velocity with an eye toward applications in Galactic archaeology. The APO-K2 sample has a large population of low metallicity stars (~288 at [M/H] ≤ -1), and their asteroseismic masses are larger than astrophysical estimates. We argue that this may reflect offsets in the adopted fundamental temperature scale for metal-poor stars rather than metallicity-dependent issues with interpreting asteroseismic data. We characterize the kinematic properties of the population as a function of α-enhancement and position in the disk and identify those stars in the sample that are candidate components of the <em>Gaia-Enceladus</em> merger. Importantly, we characterize the selection function for the APO-K2 sample as a function of metallicity, radius, mass, νmax, color, and magnitude referencing Galactic simulations and target selection criteria to enable robust statistical inferences with the catalog. <strong>Included Files:</strong> The publicly available APO-K2 catalog, the is provided in the publication. The APO-K2 catalog without truncation to any numbers. The selection function relative density tables for the mass-radius parameter space. The selection function relative density tables for the metallicity-mass parameter space. The selection function relative density tables for the magnitude-color parameter space. The selection function relative density tables for the ν<sub>max</sub>-mag parameter space.
DOI: 10.5281/zenodo.8373233
title: The APO-K2 Catalog. I. ~7,500 Red Giants with Fundamental Stellar Parameters from APOGEE DR17 Spectroscopy and K2-GAP Asteroseismology

description: <strong>Abstract: </strong>We present a catalog of fundamental stellar properties for ~7,500 evolved stars, including stellar radii and masses, determined from the combination of spectroscopic observations from the Apache Point Observatory Galactic Evolution Experiment (APOGEE), part of the Sloan Digital Sky Survey IV (SDSS), and asteroseismology from K2. The resulting APO-K2 catalog provides spectroscopically derived temperatures and metallicities, asteroseismic global parameters, evolutionary states, and asteroseismically-derived masses and radii. Additionally, we include kinematic information from <em>Gaia</em>. We investigate the multi-dimensional space of abundance, stellar mass, and velocity with an eye toward applications in Galactic archaeology. The APO-K2 sample has a large population of low metallicity stars (~288 at [M/H] ≤ -1), and their asteroseismic masses are larger than astrophysical estimates. We argue that this may reflect offsets in the adopted fundamental temperature scale for metal-poor stars rather than metallicity-dependent issues with interpreting asteroseismic data. We characterize the kinematic properties of the population as a function of α-enhancement and position in the disk and identify those stars in the sample that are candidate components of the <em>Gaia-Enceladus</em> merger. Importantly, we characterize the selection function for the APO-K2 sample as a function of metallicity, radius, mass, νmax, color, and magnitude referencing Galactic simulations and target selection criteria to enable robust statistical inferences with the catalog. <strong>Included Files:</strong> The publicly available APO-K2 catalog, the is provided in the publication. The APO-K2 catalog without truncation to any numbers. The selection function relative density tables for the mass-radius parameter space. The selection function relative density tables for the metallicity-mass parameter space. The selection function relative density tables for the magnitude-color parameter space. The selection function relative density tables for the ν<sub>max</sub>-mag parameter space.
DOI: 10.5281/zenodo.8403779
title: MRI Brain Template and Atlas of the Mouse Lemur Primate Microcebus murinus

description: MRI template and 120-region atlas for the mouse lemur primate Microcebus murinus.<br> <br> Generated from 34 animals aged 15-58 months old scanned at 7T using a T2-weighted sequence, resolution 115 × 115 × 230 µm. The code developed to create and manipulate the template has been refined into general procedures for registering small mammal brain MR images, available within a python module sammba-mri (SmAll-maMMals BrAin MRI; https://sammba-mri.github.io/). The template was up-sampled to 91 µm isotropic for hand-segmentation of structures, and also used to create probability maps of grey matter, white matter and cerebro-spinal fluid. if used for publication please cite: <strong>A 3D population-based brain atlas of the mouse lemur primate with examples of applications in aging studies and comparative anatomy</strong><br> Nachiket A Nadkarni, Salma Bougacha, Clément Garin, Marc Dhenain, Jean-Luc Picq<br> Jan 2019<br> <strong>NeuroImage</strong> 185, 85-95<br> DOI: 10.1016/J.NEUROIMAGE.2018.10.010<br> https://www.sciencedirect.com/science/article/pii/S1053811918319694
description: {"references": ["https://www.sciencedirect.com/science/article/pii/S1053811918319694"]}
DOI: 10.5281/zenodo.8403780
title: MRI Brain Template and Atlas of the Mouse Lemur Primate Microcebus murinus

description: MRI template and 120-region atlas for the mouse lemur primate Microcebus murinus.<br> <br> Generated from 34 animals aged 15-58 months old scanned at 7T using a T2-weighted sequence, resolution 115 × 115 × 230 µm. The code developed to create and manipulate the template has been refined into general procedures for registering small mammal brain MR images, available within a python module sammba-mri (SmAll-maMMals BrAin MRI; https://sammba-mri.github.io/). The template was up-sampled to 91 µm isotropic for hand-segmentation of structures, and also used to create probability maps of grey matter, white matter and cerebro-spinal fluid. if used for publication please cite: <strong>A 3D population-based brain atlas of the mouse lemur primate with examples of applications in aging studies and comparative anatomy</strong><br> Nachiket A Nadkarni, Salma Bougacha, Clément Garin, Marc Dhenain, Jean-Luc Picq<br> Jan 2019<br> <strong>NeuroImage</strong> 185, 85-95<br> DOI: 10.1016/J.NEUROIMAGE.2018.10.010<br> https://www.sciencedirect.com/science/article/pii/S1053811918319694
description: {"references": ["https://www.sciencedirect.com/science/article/pii/S1053811918319694"]}
DOI: 10.5281/zenodo.8403785
title: MRI Brain Template and Atlas of the Mouse Lemur Primate Microcebus murinus

description: MRI template and 120-region atlas for the mouse lemur primate Microcebus murinus.<br> <br> Generated from 34 animals aged 15-58 months old scanned at 7T using a T2-weighted sequence, resolution 115 × 115 × 230 µm. The code developed to create and manipulate the template has been refined into general procedures for registering small mammal brain MR images, available within a python module sammba-mri (SmAll-maMMals BrAin MRI; https://sammba-mri.github.io/). The template was up-sampled to 91 µm isotropic for hand-segmentation of structures, and also used to create probability maps of grey matter, white matter and cerebro-spinal fluid. if used for publication please cite: <strong>A 3D population-based brain atlas of the mouse lemur primate with examples of applications in aging studies and comparative anatomy</strong><br> Nachiket A Nadkarni, Salma Bougacha, Clément Garin, Marc Dhenain, Jean-Luc Picq<br> Jan 2019<br> <strong>NeuroImage</strong> 185, 85-95<br> DOI: 10.1016/J.NEUROIMAGE.2018.10.010<br> https://www.sciencedirect.com/science/article/pii/S1053811918319694
description: {"references": ["https://www.sciencedirect.com/science/article/pii/S1053811918319694"]}
DOI: 10.5281/zenodo.8403794
title: Functional organization of the mouse lemur Primate Microcebus murinus : from multilevel validation to comparison with humans

description: Brain network organization in the mouse lemur (Microcebus murinus) Primate.<br> (comparison with humans)<br> Archives contain:<br> <br> - Dictionary learning analysis in mouse lemurs and humans showing networks identified in these two species.<br> <br> - Cerebral templates from mouse lemurs and humans (MNI template). They can be used to localize networks.<br> <br> - A functional atlas of the mouse lemur brain issued from resting fMRI. Resting-state functional MR images were recorded from 14 mouse lemurs at 11.7 Tesla (2 time point per animal).<br> - An atlas from human brain (issued from http://www.gin.cnrs.fr/fr/outils/aal-aal...) that can be used to attribute human cerebral networks.<br> <br> - Templates, atlases and networks can be easily observed together using ITK-SNAP (http://www.itksnap.org/). if used for publication please cite: <strong>Resting state functional atlas and cerebral networks in mouse lemur primates at 11.7 Tesla</strong><br> <strong>Clément M Garin</strong>, Nachiket A Nadkarni, Brigitte Landeau, Gaël Chételat, Jean-Luc Picq, Salma Bougacha, Marc Dhenain<br> Feb 2021<br> <strong>NeuroImage</strong> 226, 117589<br> DOI: 10.1016/J.NEUROIMAGE.2020.117589<br> https://www.sciencedirect.com/science/article/pii/S1053811920310740
description: {"references": ["https://www.sciencedirect.com/science/article/pii/S1053811920310740"]}
DOI: 10.5281/zenodo.8403793
title: Functional organization of the mouse lemur Primate Microcebus murinus : from multilevel validation to comparison with humans

description: Brain network organization in the mouse lemur (Microcebus murinus) Primate.<br> (comparison with humans)<br> Archives contain:<br> <br> - Dictionary learning analysis in mouse lemurs and humans showing networks identified in these two species.<br> <br> - Cerebral templates from mouse lemurs and humans (MNI template). They can be used to localize networks.<br> <br> - A functional atlas of the mouse lemur brain issued from resting fMRI. Resting-state functional MR images were recorded from 14 mouse lemurs at 11.7 Tesla (2 time point per animal).<br> - An atlas from human brain (issued from http://www.gin.cnrs.fr/fr/outils/aal-aal...) that can be used to attribute human cerebral networks.<br> <br> - Templates, atlases and networks can be easily observed together using ITK-SNAP (http://www.itksnap.org/). if used for publication please cite: <strong>Resting state functional atlas and cerebral networks in mouse lemur primates at 11.7 Tesla</strong><br> <strong>Clément M Garin</strong>, Nachiket A Nadkarni, Brigitte Landeau, Gaël Chételat, Jean-Luc Picq, Salma Bougacha, Marc Dhenain<br> Feb 2021<br> <strong>NeuroImage</strong> 226, 117589<br> DOI: 10.1016/J.NEUROIMAGE.2020.117589<br> https://www.sciencedirect.com/science/article/pii/S1053811920310740
description: {"references": ["https://www.sciencedirect.com/science/article/pii/S1053811920310740"]}
DOI: 10.5281/zenodo.8335801
title: Infrared Optical Constants of Crystalline Cyanogen at 100 K

description: The optical constants of crystalline cyanogen (C<sub>2</sub>N<sub>2</sub>) at 100 K in the wavenumber range from 3100 to 550 cm<sup>-1</sup> are given here. These data are discussed in a manuscript submitted to the Planetary Science Journal (Hudson & Gerakines 2023). The same data have been uploaded in two different formats: plain ASCII (C2N2_100K_n_k.txt) and Microsoft Excel (C2N2_100K_n_k.xlsx).
description: This work was funded by the NASA ISFM Program.
DOI: 10.5281/zenodo.8335802
title: Infrared Optical Constants of Crystalline Cyanogen at 100 K

description: The optical constants of crystalline cyanogen (C<sub>2</sub>N<sub>2</sub>) at 100 K in the wavenumber range from 3100 to 550 cm<sup>-1</sup> are given here. These data are discussed in a manuscript submitted to the Planetary Science Journal (Hudson & Gerakines 2023). The same data have been uploaded in two different formats: plain ASCII (C2N2_100K_n_k.txt) and Microsoft Excel (C2N2_100K_n_k.xlsx).
description: This work was funded by the NASA ISFM Program.
DOI: 10.35003/ldliyx
title: Replication Data for: Age of Jupiter inferred from the distinct genetics and formation times of meteorites.

description: Jupiter is the most massive planet of the Solar System and its presence had an immense effect on the dynamics of the solar accretion disk. Knowing the age of Jupiter, therefore, is key for understanding how the Solar System evolved toward its present-day architecture. However, although models predict that Jupiter formed relatively early, until now, its formation has never been dated. Here we show through isotope analyses of meteorites that Jupiter’s solid core formed within only ∼1 My after the start of Solar System history, making it the oldest planet. Through its rapid formation, Jupiter acted as an effective barrier against inward transport of material across the disk, potentially explaining why our Solar System lacks any super-Earths.
DOI: 10.35003/ldliyx/h9dz0m
title: pnas.201704461si.pdf

description: :unav
DOI: 10.5281/zenodo.8401032
title: Scanlon_USAF Hangar

description: Structural Analysis of USAF Aircraft Hangar
DOI: 10.5281/zenodo.8401033
title: Scanlon_USAF Hangar

description: Structural Analysis of USAF Aircraft Hangar
DOI: 10.5281/zenodo.8401013
title: Scanlon_Centre Pompidou

description: Structural Analysis of Centre Pompidou
DOI: 10.5281/zenodo.8401014
title: Scanlon_Centre Pompidou

description: Structural Analysis of Centre Pompidou
DOI: 10.5281/zenodo.8401015
title: Scanlon_Salginatobel Bridge Scaffolding

description: Structural Analysis of Salginatobel Bridge Scaffolding
DOI: 10.5281/zenodo.8401016
title: Scanlon_Salginatobel Bridge Scaffolding

description: Structural Analysis of Salginatobel Bridge Scaffolding
DOI: 10.5281/zenodo.8401007
title: Scanlon_Forth Bridge

description: Structural Analysis of Forth Bridge
DOI: 10.5281/zenodo.8401008
title: Scanlon_Forth Bridge

description: Structural Analysis of Forth Bridge