cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3940462
title: Standard Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills ASCII

description: An elevation model of Sandhills, Nebraska, USA Landform features: stabilized dune field Resolution: 10 meter, 4,500 x 4,500 height samples File format: Esri ASCII grid This is one model of a set of standard elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models.
DOI: 10.5281/zenodo.3940478
title: Standard Elevation Models for Reproducible Evaluation of Terrain Representation – Multiscale Models – Gore Range ASCII

description: Multiscale elevation models centered on Gore Range, Colorado, USA Resolutions: 1, 5, 15, 30, 90, 250, 500, 1,000, 2,000, 2,500, and 5,000 meters, 1500 x 1,500 height samples each File format: Esri ASCII grid
DOI: 10.5281/zenodo.3940460
title: Dataset for "Deep ductile shear localization facilitates near-orthogonal strike-slip faulting in a thin brittle lithosphere"

description: This archive contains the simulation scripts, data to reproduce key figures in the main text of the submitted paper "Deep ductile shear localization facilitates near-orthogonal strike-slip faulting in a thin brittle lithosphere". Scripts: contains the python scripts used to write the input files for CIMLIB code, meshes, job submission scripts using OAR, scripts for post-processing the .vtu files to extract shear band angles. keyFigures: contains the .vtr files and state files to generate Paraview visualization of 3D shear band structure, numpy .npz data files, and IPython scripts to reproduce Fig 2, 3, 4 in the submitted paper.
DOI: 10.5281/zenodo.3940459
title: Dataset for "Deep ductile shear localization facilitates near-orthogonal strike-slip faulting in a thin brittle lithosphere"

description: This archive contains the simulation scripts, data to reproduce key figures in the main text of the submitted paper "Deep ductile shear localization facilitates near-orthogonal strike-slip faulting in a thin brittle lithosphere". Scripts: contains the python scripts used to write the input files for CIMLIB code, meshes, job submission scripts using OAR, scripts for post-processing the .vtu files to extract shear band angles. keyFigures: contains the .vtr files and state files to generate Paraview visualization of 3D shear band structure, numpy .npz data files, and IPython scripts to reproduce Fig 2, 3, 4 in the submitted paper.
DOI: 10.5281/zenodo.3822706
title: Data package from "Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images"

description: This data package contains the very high resolution maps of canopy palms from the paper "Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images". These maps have been produced with two GeoEye-1 very high resolution images (0.5 m) and a Deep Learning method for image segmentation called U-net, methods and data are fully described in the article. The total size of the decompressed archive is 2.56 Go and is distributed in two shapefiles, one for each GeoEye-1 image. When using this dataset, please cite the original article https://doi.org/10.3390/rs12142225
DOI: 10.5281/zenodo.3822705
title: Data package from "Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images"

description: This data package contains the very high resolution maps of canopy palms from the paper "Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images". These maps have been produced with two GeoEye-1 very high resolution images (0.5 m) and a Deep Learning method for image segmentation called U-net, methods and data are fully described in the article. The total size of the decompressed archive is 2.56 Go and is distributed in two shapefiles, one for each GeoEye-1 image. When using this dataset, please cite the original article https://doi.org/10.3390/rs12142225
DOI: 10.5281/zenodo.3940506
title: Smelling smells using Deep Learning

description: We have two objectives to carry out this research. The first objective is to explore the feasibility of applying deep learning models to detect smells without extensive feature engineering, just by feeding the source code elements in tokenized form. Another goal of the work is to investigate the possibility of applying transfer-learning in the context of deep learning models for smell detection by investigating transferability of results between programming languages. This repository contains supporting material of the experiment.
DOI: 10.5281/zenodo.3940505
title: Smelling smells using Deep Learning

description: We have two objectives to carry out this research. The first objective is to explore the feasibility of applying deep learning models to detect smells without extensive feature engineering, just by feeding the source code elements in tokenized form. Another goal of the work is to investigate the possibility of applying transfer-learning in the context of deep learning models for smell detection by investigating transferability of results between programming languages. This repository contains supporting material of the experiment.
DOI: 10.5281/zenodo.3940554
title: A complete dietary review of Japanese birds with special focus on molluscs

description: We present a new database reviewing dietary information for all Japanese bird species. The information within this database was collected through intense literary review to provide a complete look at bird species historically present around the country.
DOI: 10.6084/m9.figshare.12417932.v2
title: Data supporting the figures and supplementary figures and tables in the published article: Oncogenic action of the exosome cofactor RBM7 by stabilization of CDK1 mRNA in breast cancer

description: In this study, the authors found that RBM7 promoted growth and proliferation by interacting with CDK1 in breast cancer.<br><br><b>Data access: </b>The Cancer survival curve data are also publicly available in The Human Protein Atlas repository at: https://www.proteinatlas.org/ENSG00000076053-RBM7/pathology/breast+cancer#imid_3595908. Full and Uncropped blots are available as part of the supplementary information (Supplementary Fig. 4).<br><b>Study approval: </b>All samples were collected according to the ethics of Dec-Helsinki's mourning and were approved by the First Affiliated Hospital Research Committee of Nanjing Medical University. The Institutional Animal Care and Use Committee of Nanjing Medical University approved these animal studies, which were consistent with the National Institutes of Health (NIH) care and use of Laboratory Animals guide. <br><br><br>
DOI: 10.6084/m9.figshare.12417932.v1
title: Data supporting the figures and supplementary figures and tables in the published article: Oncogenic action of the exosome cofactor RBM7 by stabilization of CDK1 mRNA in breast cancer

description: In this study, the authors found that RBM7 promoted growth and proliferation by interacting with CDK1 in breast cancer.<br><br><b>Data access: </b>The Cancer survival curve data are also publicly available in The Human Protein Atlas repository at: https://www.proteinatlas.org/ENSG00000076053-RBM7/pathology/breast+cancer#imid_3595908. Full and Uncropped blots are available as part of the supplementary information (Supplementary Fig. 4).<br><b>Study approval: </b>All samples were collected according to the ethics of Dec-Helsinki's mourning and were approved by the First Affiliated Hospital Research Committee of Nanjing Medical University. The Institutional Animal Care and Use Committee of Nanjing Medical University approved these animal studies, which were consistent with the National Institutes of Health (NIH) care and use of Laboratory Animals guide. <br><br><br>
DOI: 10.5281/zenodo.3940597
title: A geometric morphometric approach to the study of sexual dimorphism in the modern human frontal bone

description: Code and data to replicate the results reported in the paper "A geometric morphometric approach to the study of sexual dimorphism in the modern human frontal bone"
DOI: 10.5281/zenodo.3940596
title: A geometric morphometric approach to the study of sexual dimorphism in the modern human frontal bone

description: Code and data to replicate the results reported in the paper "A geometric morphometric approach to the study of sexual dimorphism in the modern human frontal bone"
DOI: 10.5281/zenodo.3940530
title: Supplementary materials for Gast, V. and M. Koptjevskaja-Tamm, 'Colexification patterns in Europe: A study of persistence and diffusibility in the lexicon, based on the Database of Crosslinguistic Colexifications (CLICS3)

description: The folder contains the data, scripts and plots for the paper. It includes the following third party material (Open Access) in the folder DataStageI: 1) the clics.sqlite database from https://github.com/clics/clics3; cf. Rzymski, Christoph and Tresoldi, Tiago et al. 2019. The Database of Cross-Linguistic Colexifications, reproducible analysis of cross- linguistic polysemies. DOI: 10.1038/s41597-019-0341-x<br> 2) the files ccCosineDist.csv and pmiWorld.csv from Jäger (2018), 'Global-scale phylogenetic linguistic inference from lexical resources', Scientific Data 5, Article number: 180189<br> 3) languoid.csv from https://glottolog.org/meta/downloads; cf. Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2020. Glottolog 4.2.1. Jena: Max Planck Institute for the Science of Human History.<br> (Available online at http://glottolog.org, Accessed on 2020-07-11.)<br> * asjp.tsv from https://asjp.clld.org/, cf. Wichmann, Søren, Eric W. Holman, and Cecil H. Brown (eds.). 2018. The ASJP Database (version 18). (current version: 2020)
DOI: 10.5281/zenodo.3940529
title: Supplementary materials for Gast, V. and M. Koptjevskaja-Tamm, 'Colexification patterns in Europe: A study of persistence and diffusibility in the lexicon, based on the Database of Crosslinguistic Colexifications (CLICS3)

description: The folder contains the data, scripts and plots for the paper. It includes the following third party material (Open Access) in the folder DataStageI: 1) the clics.sqlite database from https://github.com/clics/clics3; cf. Rzymski, Christoph and Tresoldi, Tiago et al. 2019. The Database of Cross-Linguistic Colexifications, reproducible analysis of cross- linguistic polysemies. DOI: 10.1038/s41597-019-0341-x<br> 2) the files ccCosineDist.csv and pmiWorld.csv from Jäger (2018), 'Global-scale phylogenetic linguistic inference from lexical resources', Scientific Data 5, Article number: 180189<br> 3) languoid.csv from https://glottolog.org/meta/downloads; cf. Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2020. Glottolog 4.2.1. Jena: Max Planck Institute for the Science of Human History.<br> (Available online at http://glottolog.org, Accessed on 2020-07-11.)<br> * asjp.tsv from https://asjp.clld.org/, cf. Wichmann, Søren, Eric W. Holman, and Cecil H. Brown (eds.). 2018. The ASJP Database (version 18). (current version: 2020)
DOI: 10.5281/zenodo.3936556
title: The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data

description: We provide an updated version of the <strong>Microsoft Academic Knowledge Graph (MAKG)</strong>. The MAKG is a <strong>large RDF knowledge graph </strong>with <strong>over eight billion triples</strong> containing information about scientific <strong>publications</strong> and related entities, such as <strong>authors</strong>, <strong>institutions</strong>, <strong>journals</strong>, and <strong>fields of study</strong>. The provided data is based on the MAG data as of <strong>2020-05-29</strong>. Besides the MAKG core data, also the owl:sameAs-links to Wikidata and OpenCitations were updated. More information can be found at <strong>http://ma-graph.org/</strong> and in the ISWC'19 paper <strong>The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data</strong> (author copy available here). If you use the data set, please cite it as follows (see also in DBLP): Michael Färber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129. <pre><code>@inproceedings{DBLP:conf/semweb/Farber19, author = "{Michael F{\"{a}}rber}", title = "{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with 8 Billion Triples of Scholarly Data}", booktitle = "{Proceedings of the 18th International Semantic Web Conference}", series = "{ISWC'19}", location = "{Auckland, New Zealand}", pages = {113--129}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-30796-7\_8}, doi = {10.1007/978-3-030-30796-7\_8} } </code></pre>
DOI: 10.5281/zenodo.3940622
title: "Shifts in Phytoplankton Composition and Stepwise Climate Change during the Middle Miocene" - Age-depth models and calcareous nannofossil census data

description: This is a data supplement to the paper "Shifts in Phytoplankton Composition and Stepwise Climate Change during the Middle Miocene" (Paleoceanography and Paleoclimatology). <strong>Data Set S1</strong>. Age-depth models. This data set includes the file SI_Tables S2-S5_Henderiks_etal.xlsx containing raw age-depth tie point compilations for each site and sample age estimates, as well as the final, site-specific input files and output (age assignments) from the <em>Undatable </em>Matlab software Version 1.1 (Lougheed and Obrochta, 2019; https://doi.org/10.1029/2018PA003457). The age-depth models presented in this study can be reproduced by running the age-depth model input files in the <em>Undatable</em> graphical user interface (GUI), whereby the necessary settings for the specific number of Monte Carlo iterations, xfactor and bootstrapping are contained in the header of the input files. Note that input and output files are grouped in two zipped folders: a cm- and meter-depth scale version (the latter decreases computing time and produced the age-depth plots shown in Figures S1 and S2 of the paper). <strong>Data Set S2</strong>. Calcareous nannofossil census data. The file SI_ds02_Henderiks_etal.xlsx consists of two separate data sheets:<br> 1. Middle Miocene nannofossil abundance estimates (N/g) and genus-level census counts (%, ±95% CI) at 5 different Atlantic deep-sea sites (Sites 982, 608, 925, 926 and 1264).<br> 2. Middle Miocene census counts (%, ±95% CI) of <em>Coccolithus</em> and <em>Reticulofenestra</em> morphospecies and size categories for Sites 982, 608, 925 and 926.
description: Uppsala University and the Swedish Research Council provided financial support (VR grants 2011-4866 and 2016-04434 to J.H.). N.P.'s research contributions were made possible through a scholarship from the International Mobility Office of the Ecole Normale Supérieure de Lyon and the Région Auvergne-Rhône-Alpes (France) and an Erasmus Stage+ scholarship (EC).
DOI: 10.5281/zenodo.3940621
title: "Shifts in Phytoplankton Composition and Stepwise Climate Change during the Middle Miocene" - Age-depth models and calcareous nannofossil census data

description: This is a data supplement to the paper "Shifts in Phytoplankton Composition and Stepwise Climate Change during the Middle Miocene" (Paleoceanography and Paleoclimatology). <strong>Data Set S1</strong>. Age-depth models. This data set includes the file SI_Tables S2-S5_Henderiks_etal.xlsx containing raw age-depth tie point compilations for each site and sample age estimates, as well as the final, site-specific input files and output (age assignments) from the <em>Undatable </em>Matlab software Version 1.1 (Lougheed and Obrochta, 2019; https://doi.org/10.1029/2018PA003457). The age-depth models presented in this study can be reproduced by running the age-depth model input files in the <em>Undatable</em> graphical user interface (GUI), whereby the necessary settings for the specific number of Monte Carlo iterations, xfactor and bootstrapping are contained in the header of the input files. Note that input and output files are grouped in two zipped folders: a cm- and meter-depth scale version (the latter decreases computing time and produced the age-depth plots shown in Figures S1 and S2 of the paper). <strong>Data Set S2</strong>. Calcareous nannofossil census data. The file SI_ds02_Henderiks_etal.xlsx consists of two separate data sheets:<br> 1. Middle Miocene nannofossil abundance estimates (N/g) and genus-level census counts (%, ±95% CI) at 5 different Atlantic deep-sea sites (Sites 982, 608, 925, 926 and 1264).<br> 2. Middle Miocene census counts (%, ±95% CI) of <em>Coccolithus</em> and <em>Reticulofenestra</em> morphospecies and size categories for Sites 982, 608, 925 and 926.
description: Uppsala University and the Swedish Research Council provided financial support (VR grants 2011-4866 and 2016-04434 to J.H.). N.P.'s research contributions were made possible through a scholarship from the International Mobility Office of the Ecole Normale Supérieure de Lyon and the Région Auvergne-Rhône-Alpes (France) and an Erasmus Stage+ scholarship (EC).
DOI: 10.5281/zenodo.3940645
title: dataset_voc

description: The dataset is for the MS submitted to JGR-Atmosphere
DOI: 10.5281/zenodo.3940644
title: dataset_voc

description: The dataset is for the MS submitted to JGR-Atmosphere
DOI: 10.5281/zenodo.3939413
title: Making the sun shine at night: Comparing the Cost of Dispatchable Concentrating Solar Power and Photovoltaics with Storage: Balmorel input data revised

description: <strong>Description of the dataset</strong> This dataset holds all Balmorel model input data as well as the Balmorel code used for the scenarios of the paper 'Making the Sun Shine at Night: Comparing the Cost of Dispatchable Concentrating Solar Power and Photovoltaics with Storage' submitted to 'Energy Sources, Part B: Economics, Planning, and Policy.' <strong>Data format</strong> We provide the data in form of the data folders holding the .inc files for all scenarios. The original Balmorel source code is available under https://github.com/balmorelcommunity/Balmorel under the ISC license. It was adapted in order to include a new technology generating electricity from heat (GETOH). The inputs for this development were kindly supported by DTU, Ea Energy Analyses and Jasper Geipel (TU Wien) with previously done works.
DOI: 10.5281/zenodo.3939412
title: Making the sun shine at night: Comparing the Cost of Dispatchable Concentrating Solar Power and Photovoltaics with Storage: Balmorel input data revised

description: <strong>Description of the dataset</strong> This dataset holds all Balmorel model input data as well as the Balmorel code used for the scenarios of the paper 'Making the Sun Shine at Night: Comparing the Cost of Dispatchable Concentrating Solar Power and Photovoltaics with Storage' submitted to 'Energy Sources, Part B: Economics, Planning, and Policy.' <strong>Data format</strong> We provide the data in form of the data folders holding the .inc files for all scenarios. The original Balmorel source code is available under https://github.com/balmorelcommunity/Balmorel under the ISC license. It was adapted in order to include a new technology generating electricity from heat (GETOH). The inputs for this development were kindly supported by DTU, Ea Energy Analyses and Jasper Geipel (TU Wien) with previously done works.
DOI: 10.5281/zenodo.3940659
title: A modeling study of the tripole pattern of East China precipitation over the past 425 ka

description: These files contain the model outputs from Noresm-L that are used to draw the main parts of Figures in our paper entitled "A modeling study of the tripole pattern of East China precipitation over the past 425 ka".
DOI: 10.3886/e119191v1-25325
title: Weather & Summer Spatial Behavior of U.S. National Park Visitors (Flickr data 2006 - 2018)

description: This dataset corresponds to a paper titled "Social media data reveal ecoregional variation in how weather influences visitor behavior in U.S. National Parks," which is currently under review. The paper is authored by Emily J. Wilkins, Peter D. Howe, and Jordan W. Smith.<br><br>In this paper, we investigate how daily temperature and precipitation in the summer influence visitors' spatial behavior in 110 U.S. National Park Service Units. We use Flickr data from 2006 - 2018 to uncover visitors locations within parks, and connect each geotagged point to the weather at the date the photo was taken (using Daymet data), as well as nearby infrastructure and environmental features (using OpenStreetMap data). <br><br>While we cannot provide the raw Flickr data due to privacy concerns, we include the final database we used after all data collection, cleaning, and processing (all_ecoregions_Flickr.csv). All personally identifiable information is deleted from this database. This database was used to run the statistical tests presented in the paper, as well as generate the maps (R code included). <br><br>We also include maps of each of the 110 study sites that show the general summer spatial distributions of Flickr posts in each park, and well as how the spatial distributions differ by hot and cold summer days.
description: web scraping; All data was collected by writing Python and R scripts to interact with APIs.
description: Any visitor to U.S. National Parks who has uploaded a photo to Flickr. .
description: We collected all Flickr data within the study sites, and filtered the dataset to only include one post per user, per day, within a 10 meter radius.
DOI: 10.3886/e120145v1
title: Change and Persistence in the Age of Modernization: Saint-Germain-d'Anxure 1730-1895

description: This repository contains data and codes to replicate the main tables and figures of Change and Persistence in the Age of Modernization: Saint-Germain-d'Anxure 1730-1895. The data (.dta) and codes (.do) files require the software Stata. We refer to the paper and online appendix for further details.
description: Births, marriages, deaths, and households.
DOI: 10.3886/e120145
title: Change and Persistence in the Age of Modernization: Saint-Germain-d'Anxure 1730-1895

description: This repository contains data and codes to replicate the main tables and figures of Change and Persistence in the Age of Modernization: Saint-Germain-d'Anxure 1730-1895. The data (.dta) and codes (.do) files require the software Stata. We refer to the paper and online appendix for further details.
description: Births, marriages, deaths, and households.
DOI: 10.3886/e120243v1
title: Data and code for: The origins of common identity: Evidence from Alsace-Lorraine

description: We study how more negative historical exposure to the actions of nation-states – like war, occupation, and repression – affects the formation of regional identity. The quasi-exogenous division of the French regions Alsace and Lorraine allows us to implement a geographical regression discontinuity design at the municipal-level. Using measures of stated and revealed preferences, we find that more negative experiences with nation-states are associated with a stronger regional identity in the short, medium, and long run. This is linked to preferences for more regional decision-making. Establishing regional organizations seems to be a key mechanism to maintain and strengthen regional identity.<br>